# --- THIS FILE IS AUTO-GENERATED --- # Modifications will be overwitten the next time code generation run. from plotly.basewidget import BaseFigureWidget class FigureWidget(BaseFigureWidget): def __init__( self, data=None, layout=None, frames=None, skip_invalid=False, **kwargs ): """ Create a new :class:FigureWidget instance Parameters ---------- data The 'data' property is a tuple of trace instances that may be specified as: - A list or tuple of trace instances (e.g. [Scatter(...), Bar(...)]) - A single trace instance (e.g. Scatter(...), Bar(...), etc.) - A list or tuple of dicts of string/value properties where: - The 'type' property specifies the trace type One of: ['bar', 'barpolar', 'box', 'candlestick', 'carpet', 'choropleth', 'choroplethmap', 'choroplethmapbox', 'cone', 'contour', 'contourcarpet', 'densitymap', 'densitymapbox', 'funnel', 'funnelarea', 'heatmap', 'histogram', 'histogram2d', 'histogram2dcontour', 'icicle', 'image', 'indicator', 'isosurface', 'mesh3d', 'ohlc', 'parcats', 'parcoords', 'pie', 'sankey', 'scatter', 'scatter3d', 'scattercarpet', 'scattergeo', 'scattergl', 'scattermap', 'scattermapbox', 'scatterpolar', 'scatterpolargl', 'scattersmith', 'scatterternary', 'splom', 'streamtube', 'sunburst', 'surface', 'table', 'treemap', 'violin', 'volume', 'waterfall'] - All remaining properties are passed to the constructor of the specified trace type (e.g. [{'type': 'scatter', ...}, {'type': 'bar, ...}]) layout The 'layout' property is an instance of Layout that may be specified as: - An instance of :class:`plotly.graph_objs.Layout` - A dict of string/value properties that will be passed to the Layout constructor frames The 'frames' property is a tuple of instances of Frame that may be specified as: - A list or tuple of instances of plotly.graph_objs.Frame - A list or tuple of dicts of string/value properties that will be passed to the Frame constructor skip_invalid: bool If True, invalid properties in the figure specification will be skipped silently. If False (default) invalid properties in the figure specification will result in a ValueError Raises ------ ValueError if a property in the specification of data, layout, or frames is invalid AND skip_invalid is False """ super().__init__(data, layout, frames, skip_invalid, **kwargs) def update(self, dict1=None, overwrite=False, **kwargs) -> "FigureWidget": """ Update the properties of the figure with a dict and/or with keyword arguments. This recursively updates the structure of the figure object with the values in the input dict / keyword arguments. Parameters ---------- dict1 : dict Dictionary of properties to be updated overwrite: bool If True, overwrite existing properties. If False, apply updates to existing properties recursively, preserving existing properties that are not specified in the update operation. kwargs : Keyword/value pair of properties to be updated Examples -------- >>> import plotly.graph_objs as go >>> fig = go.Figure(data=[{'y': [1, 2, 3]}]) >>> fig.update(data=[{'y': [4, 5, 6]}]) # doctest: +ELLIPSIS Figure(...) >>> fig.to_plotly_json() # doctest: +SKIP {'data': [{'type': 'scatter', 'uid': 'e86a7c7a-346a-11e8-8aa8-a0999b0c017b', 'y': array([4, 5, 6], dtype=int32)}], 'layout': {}} >>> fig = go.Figure(layout={'xaxis': ... {'color': 'green', ... 'range': [0, 1]}}) >>> fig.update({'layout': {'xaxis': {'color': 'pink'}}}) # doctest: +ELLIPSIS Figure(...) >>> fig.to_plotly_json() # doctest: +SKIP {'data': [], 'layout': {'xaxis': {'color': 'pink', 'range': [0, 1]}}} Returns ------- BaseFigure Updated figure """ return super().update(dict1, overwrite, **kwargs) def update_traces( self, patch=None, selector=None, row=None, col=None, secondary_y=None, overwrite=False, **kwargs, ) -> "FigureWidget": """ Perform a property update operation on all traces that satisfy the specified selection criteria Parameters ---------- patch: dict or None (default None) Dictionary of property updates to be applied to all traces that satisfy the selection criteria. selector: dict, function, int, str or None (default None) Dict to use as selection criteria. Traces will be selected if they contain properties corresponding to all of the dictionary's keys, with values that exactly match the supplied values. If None (the default), all traces are selected. If a function, it must be a function accepting a single argument and returning a boolean. The function will be called on each trace and those for which the function returned True will be in the selection. If an int N, the Nth trace matching row and col will be selected (N can be negative). If a string S, the selector is equivalent to dict(type=S). row, col: int or None (default None) Subplot row and column index of traces to select. To select traces by row and column, the Figure must have been created using plotly.subplots.make_subplots. If None (the default), all traces are selected. secondary_y: boolean or None (default None) * If True, only select traces associated with the secondary y-axis of the subplot. * If False, only select traces associated with the primary y-axis of the subplot. * If None (the default), do not filter traces based on secondary y-axis. To select traces by secondary y-axis, the Figure must have been created using plotly.subplots.make_subplots. See the docstring for the specs argument to make_subplots for more info on creating subplots with secondary y-axes. overwrite: bool If True, overwrite existing properties. If False, apply updates to existing properties recursively, preserving existing properties that are not specified in the update operation. **kwargs Additional property updates to apply to each selected trace. If a property is specified in both patch and in **kwargs then the one in **kwargs takes precedence. Returns ------- self Returns the Figure object that the method was called on """ return super().update_traces( patch, selector, row, col, secondary_y, overwrite, **kwargs ) def update_layout(self, dict1=None, overwrite=False, **kwargs) -> "FigureWidget": """ Update the properties of the figure's layout with a dict and/or with keyword arguments. This recursively updates the structure of the original layout with the values in the input dict / keyword arguments. Parameters ---------- dict1 : dict Dictionary of properties to be updated overwrite: bool If True, overwrite existing properties. If False, apply updates to existing properties recursively, preserving existing properties that are not specified in the update operation. kwargs : Keyword/value pair of properties to be updated Returns ------- BaseFigure The Figure object that the update_layout method was called on """ return super().update_layout(dict1, overwrite, **kwargs) def for_each_trace( self, fn, selector=None, row=None, col=None, secondary_y=None ) -> "FigureWidget": """ Apply a function to all traces that satisfy the specified selection criteria Parameters ---------- fn: Function that inputs a single trace object. selector: dict, function, int, str or None (default None) Dict to use as selection criteria. Traces will be selected if they contain properties corresponding to all of the dictionary's keys, with values that exactly match the supplied values. If None (the default), all traces are selected. If a function, it must be a function accepting a single argument and returning a boolean. The function will be called on each trace and those for which the function returned True will be in the selection. If an int N, the Nth trace matching row and col will be selected (N can be negative). If a string S, the selector is equivalent to dict(type=S). row, col: int or None (default None) Subplot row and column index of traces to select. To select traces by row and column, the Figure must have been created using plotly.subplots.make_subplots. If None (the default), all traces are selected. secondary_y: boolean or None (default None) * If True, only select traces associated with the secondary y-axis of the subplot. * If False, only select traces associated with the primary y-axis of the subplot. * If None (the default), do not filter traces based on secondary y-axis. To select traces by secondary y-axis, the Figure must have been created using plotly.subplots.make_subplots. See the docstring for the specs argument to make_subplots for more info on creating subplots with secondary y-axes. Returns ------- self Returns the Figure object that the method was called on """ return super().for_each_trace(fn, selector, row, col, secondary_y) def add_trace( self, trace, row=None, col=None, secondary_y=None, exclude_empty_subplots=False ) -> "FigureWidget": """ Add a trace to the figure Parameters ---------- trace : BaseTraceType or dict Either: - An instances of a trace classe from the plotly.graph_objs package (e.g plotly.graph_objs.Scatter, plotly.graph_objs.Bar) - or a dicts where: - The 'type' property specifies the trace type (e.g. 'scatter', 'bar', 'area', etc.). If the dict has no 'type' property then 'scatter' is assumed. - All remaining properties are passed to the constructor of the specified trace type. row : 'all', int or None (default) Subplot row index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`. If 'all', addresses all rows in the specified column(s). col : 'all', int or None (default) Subplot col index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`. If 'all', addresses all columns in the specified row(s). secondary_y: boolean or None (default None) If True, associate this trace with the secondary y-axis of the subplot at the specified row and col. Only valid if all of the following conditions are satisfied: * The figure was created using `plotly.subplots.make_subplots`. * The row and col arguments are not None * The subplot at the specified row and col has type xy (which is the default) and secondary_y True. These properties are specified in the specs argument to make_subplots. See the make_subplots docstring for more info. * The trace argument is a 2D cartesian trace (scatter, bar, etc.) exclude_empty_subplots: boolean If True, the trace will not be added to subplots that don't already have traces. Returns ------- BaseFigure The Figure that add_trace was called on Examples -------- >>> from plotly import subplots >>> import plotly.graph_objs as go Add two Scatter traces to a figure >>> fig = go.Figure() >>> fig.add_trace(go.Scatter(x=[1,2,3], y=[2,1,2])) # doctest: +ELLIPSIS Figure(...) >>> fig.add_trace(go.Scatter(x=[1,2,3], y=[2,1,2])) # doctest: +ELLIPSIS Figure(...) Add two Scatter traces to vertically stacked subplots >>> fig = subplots.make_subplots(rows=2) >>> fig.add_trace(go.Scatter(x=[1,2,3], y=[2,1,2]), row=1, col=1) # doctest: +ELLIPSIS Figure(...) >>> fig.add_trace(go.Scatter(x=[1,2,3], y=[2,1,2]), row=2, col=1) # doctest: +ELLIPSIS Figure(...) """ return super().add_trace(trace, row, col, secondary_y, exclude_empty_subplots) def add_traces( self, data, rows=None, cols=None, secondary_ys=None, exclude_empty_subplots=False, ) -> "FigureWidget": """ Add traces to the figure Parameters ---------- data : list[BaseTraceType or dict] A list of trace specifications to be added. Trace specifications may be either: - Instances of trace classes from the plotly.graph_objs package (e.g plotly.graph_objs.Scatter, plotly.graph_objs.Bar) - Dicts where: - The 'type' property specifies the trace type (e.g. 'scatter', 'bar', 'area', etc.). If the dict has no 'type' property then 'scatter' is assumed. - All remaining properties are passed to the constructor of the specified trace type. rows : None, list[int], or int (default None) List of subplot row indexes (starting from 1) for the traces to be added. Only valid if figure was created using `plotly.tools.make_subplots` If a single integer is passed, all traces will be added to row number cols : None or list[int] (default None) List of subplot column indexes (starting from 1) for the traces to be added. Only valid if figure was created using `plotly.tools.make_subplots` If a single integer is passed, all traces will be added to column number secondary_ys: None or list[boolean] (default None) List of secondary_y booleans for traces to be added. See the docstring for `add_trace` for more info. exclude_empty_subplots: boolean If True, the trace will not be added to subplots that don't already have traces. Returns ------- BaseFigure The Figure that add_traces was called on Examples -------- >>> from plotly import subplots >>> import plotly.graph_objs as go Add two Scatter traces to a figure >>> fig = go.Figure() >>> fig.add_traces([go.Scatter(x=[1,2,3], y=[2,1,2]), ... go.Scatter(x=[1,2,3], y=[2,1,2])]) # doctest: +ELLIPSIS Figure(...) Add two Scatter traces to vertically stacked subplots >>> fig = subplots.make_subplots(rows=2) >>> fig.add_traces([go.Scatter(x=[1,2,3], y=[2,1,2]), ... go.Scatter(x=[1,2,3], y=[2,1,2])], ... rows=[1, 2], cols=[1, 1]) # doctest: +ELLIPSIS Figure(...) """ return super().add_traces( data, rows, cols, secondary_ys, exclude_empty_subplots ) def add_vline( self, x, row="all", col="all", exclude_empty_subplots=True, annotation=None, **kwargs, ) -> "FigureWidget": """ Add a vertical line to a plot or subplot that extends infinitely in the y-dimension. Parameters ---------- x: float or int A number representing the x coordinate of the vertical line. exclude_empty_subplots: Boolean If True (default) do not place the shape on subplots that have no data plotted on them. row: None, int or 'all' Subplot row for shape indexed starting at 1. If 'all', addresses all rows in the specified column(s). If both row and col are None, addresses the first subplot if subplots exist, or the only plot. By default is "all". col: None, int or 'all' Subplot column for shape indexed starting at 1. If 'all', addresses all rows in the specified column(s). If both row and col are None, addresses the first subplot if subplots exist, or the only plot. By default is "all". annotation: dict or plotly.graph_objects.layout.Annotation. If dict(), it is interpreted as describing an annotation. The annotation is placed relative to the shape based on annotation_position (see below) unless its x or y value has been specified for the annotation passed here. xref and yref are always the same as for the added shape and cannot be overridden. annotation_position: a string containing optionally ["top", "bottom"] and ["left", "right"] specifying where the text should be anchored to on the line. Example positions are "bottom left", "right top", "right", "bottom". If an annotation is added but annotation_position is not specified, this defaults to "top right". annotation_*: any parameters to go.layout.Annotation can be passed as keywords by prefixing them with "annotation_". For example, to specify the annotation text "example" you can pass annotation_text="example" as a keyword argument. **kwargs: Any named function parameters that can be passed to 'add_shape', except for x0, x1, y0, y1 or type. """ return super().add_vline( x, row, col, exclude_empty_subplots, annotation, **kwargs ) def add_hline( self, y, row="all", col="all", exclude_empty_subplots=True, annotation=None, **kwargs, ) -> "FigureWidget": """ Add a horizontal line to a plot or subplot that extends infinitely in the x-dimension. Parameters ---------- y: float or int A number representing the y coordinate of the horizontal line. exclude_empty_subplots: Boolean If True (default) do not place the shape on subplots that have no data plotted on them. row: None, int or 'all' Subplot row for shape indexed starting at 1. If 'all', addresses all rows in the specified column(s). If both row and col are None, addresses the first subplot if subplots exist, or the only plot. By default is "all". col: None, int or 'all' Subplot column for shape indexed starting at 1. If 'all', addresses all rows in the specified column(s). If both row and col are None, addresses the first subplot if subplots exist, or the only plot. By default is "all". annotation: dict or plotly.graph_objects.layout.Annotation. If dict(), it is interpreted as describing an annotation. The annotation is placed relative to the shape based on annotation_position (see below) unless its x or y value has been specified for the annotation passed here. xref and yref are always the same as for the added shape and cannot be overridden. annotation_position: a string containing optionally ["top", "bottom"] and ["left", "right"] specifying where the text should be anchored to on the line. Example positions are "bottom left", "right top", "right", "bottom". If an annotation is added but annotation_position is not specified, this defaults to "top right". annotation_*: any parameters to go.layout.Annotation can be passed as keywords by prefixing them with "annotation_". For example, to specify the annotation text "example" you can pass annotation_text="example" as a keyword argument. **kwargs: Any named function parameters that can be passed to 'add_shape', except for x0, x1, y0, y1 or type. """ return super().add_hline( y, row, col, exclude_empty_subplots, annotation, **kwargs ) def add_vrect( self, x0, x1, row="all", col="all", exclude_empty_subplots=True, annotation=None, **kwargs, ) -> "FigureWidget": """ Add a rectangle to a plot or subplot that extends infinitely in the y-dimension. Parameters ---------- x0: float or int A number representing the x coordinate of one side of the rectangle. x1: float or int A number representing the x coordinate of the other side of the rectangle. exclude_empty_subplots: Boolean If True (default) do not place the shape on subplots that have no data plotted on them. row: None, int or 'all' Subplot row for shape indexed starting at 1. If 'all', addresses all rows in the specified column(s). If both row and col are None, addresses the first subplot if subplots exist, or the only plot. By default is "all". col: None, int or 'all' Subplot column for shape indexed starting at 1. If 'all', addresses all rows in the specified column(s). If both row and col are None, addresses the first subplot if subplots exist, or the only plot. By default is "all". annotation: dict or plotly.graph_objects.layout.Annotation. If dict(), it is interpreted as describing an annotation. The annotation is placed relative to the shape based on annotation_position (see below) unless its x or y value has been specified for the annotation passed here. xref and yref are always the same as for the added shape and cannot be overridden. annotation_position: a string containing optionally ["inside", "outside"], ["top", "bottom"] and ["left", "right"] specifying where the text should be anchored to on the rectangle. Example positions are "outside top left", "inside bottom", "right", "inside left", "inside" ("outside" is not supported). If an annotation is added but annotation_position is not specified this defaults to "inside top right". annotation_*: any parameters to go.layout.Annotation can be passed as keywords by prefixing them with "annotation_". For example, to specify the annotation text "example" you can pass annotation_text="example" as a keyword argument. **kwargs: Any named function parameters that can be passed to 'add_shape', except for x0, x1, y0, y1 or type. """ return super().add_vrect( x0, x1, row, col, exclude_empty_subplots, annotation, **kwargs ) def add_hrect( self, y0, y1, row="all", col="all", exclude_empty_subplots=True, annotation=None, **kwargs, ) -> "FigureWidget": """ Add a rectangle to a plot or subplot that extends infinitely in the x-dimension. Parameters ---------- y0: float or int A number representing the y coordinate of one side of the rectangle. y1: float or int A number representing the y coordinate of the other side of the rectangle. exclude_empty_subplots: Boolean If True (default) do not place the shape on subplots that have no data plotted on them. row: None, int or 'all' Subplot row for shape indexed starting at 1. If 'all', addresses all rows in the specified column(s). If both row and col are None, addresses the first subplot if subplots exist, or the only plot. By default is "all". col: None, int or 'all' Subplot column for shape indexed starting at 1. If 'all', addresses all rows in the specified column(s). If both row and col are None, addresses the first subplot if subplots exist, or the only plot. By default is "all". annotation: dict or plotly.graph_objects.layout.Annotation. If dict(), it is interpreted as describing an annotation. The annotation is placed relative to the shape based on annotation_position (see below) unless its x or y value has been specified for the annotation passed here. xref and yref are always the same as for the added shape and cannot be overridden. annotation_position: a string containing optionally ["inside", "outside"], ["top", "bottom"] and ["left", "right"] specifying where the text should be anchored to on the rectangle. Example positions are "outside top left", "inside bottom", "right", "inside left", "inside" ("outside" is not supported). If an annotation is added but annotation_position is not specified this defaults to "inside top right". annotation_*: any parameters to go.layout.Annotation can be passed as keywords by prefixing them with "annotation_". For example, to specify the annotation text "example" you can pass annotation_text="example" as a keyword argument. **kwargs: Any named function parameters that can be passed to 'add_shape', except for x0, x1, y0, y1 or type. """ return super().add_hrect( y0, y1, row, col, exclude_empty_subplots, annotation, **kwargs ) def set_subplots( self, rows=None, cols=None, **make_subplots_args ) -> "FigureWidget": """ Add subplots to this figure. If the figure already contains subplots, then this throws an error. Accepts any keyword arguments that plotly.subplots.make_subplots accepts. """ return super().set_subplots(rows, cols, **make_subplots_args) def add_bar( self, alignmentgroup=None, base=None, basesrc=None, cliponaxis=None, constraintext=None, customdata=None, customdatasrc=None, dx=None, dy=None, error_x=None, error_y=None, hoverinfo=None, hoverinfosrc=None, hoverlabel=None, hovertemplate=None, hovertemplatesrc=None, hovertext=None, hovertextsrc=None, ids=None, idssrc=None, insidetextanchor=None, insidetextfont=None, legend=None, legendgroup=None, legendgrouptitle=None, legendrank=None, legendwidth=None, marker=None, meta=None, metasrc=None, name=None, offset=None, offsetgroup=None, offsetsrc=None, opacity=None, orientation=None, outsidetextfont=None, selected=None, selectedpoints=None, showlegend=None, stream=None, text=None, textangle=None, textfont=None, textposition=None, textpositionsrc=None, textsrc=None, texttemplate=None, texttemplatesrc=None, uid=None, uirevision=None, unselected=None, visible=None, width=None, widthsrc=None, x=None, x0=None, xaxis=None, xcalendar=None, xhoverformat=None, xperiod=None, xperiod0=None, xperiodalignment=None, xsrc=None, y=None, y0=None, yaxis=None, ycalendar=None, yhoverformat=None, yperiod=None, yperiod0=None, yperiodalignment=None, ysrc=None, zorder=None, row=None, col=None, secondary_y=None, **kwargs, ) -> "FigureWidget": """ Add a new Bar trace The data visualized by the span of the bars is set in `y` if `orientation` is set to "v" (the default) and the labels are set in `x`. By setting `orientation` to "h", the roles are interchanged. Parameters ---------- alignmentgroup Set several traces linked to the same position axis or matching axes to the same alignmentgroup. This controls whether bars compute their positional range dependently or independently. base Sets where the bar base is drawn (in position axis units). In "stack" or "relative" barmode, traces that set "base" will be excluded and drawn in "overlay" mode instead. basesrc Sets the source reference on Chart Studio Cloud for `base`. cliponaxis Determines whether the text nodes are clipped about the subplot axes. To show the text nodes above axis lines and tick labels, make sure to set `xaxis.layer` and `yaxis.layer` to *below traces*. constraintext Constrain the size of text inside or outside a bar to be no larger than the bar itself. customdata Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, "scatter" traces also appends customdata items in the markers DOM elements customdatasrc Sets the source reference on Chart Studio Cloud for `customdata`. dx Sets the x coordinate step. See `x0` for more info. dy Sets the y coordinate step. See `y0` for more info. error_x :class:`plotly.graph_objects.bar.ErrorX` instance or dict with compatible properties error_y :class:`plotly.graph_objects.bar.ErrorY` instance or dict with compatible properties hoverinfo Determines which trace information appear on hover. If `none` or `skip` are set, no information is displayed upon hovering. But, if `none` is set, click and hover events are still fired. hoverinfosrc Sets the source reference on Chart Studio Cloud for `hoverinfo`. hoverlabel :class:`plotly.graph_objects.bar.Hoverlabel` instance or dict with compatible properties hovertemplate Template string used for rendering the information that appear on hover box. Note that this will override `hoverinfo`. Variables are inserted using %{variable}, for example "y: %{y}" as well as %{xother}, {%_xother}, {%_xother_}, {%xother_}. When showing info for several points, "xother" will be added to those with different x positions from the first point. An underscore before or after "(x|y)other" will add a space on that side, only when this field is shown. Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. The variables available in `hovertemplate` are the ones emitted as event data described at this link https://plotly.com/javascript/plotlyjs-events/#event- data. Additionally, every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. Finally, the template string has access to variables `value` and `label`. Anything contained in tag `` is displayed in the secondary box, for example "{fullData.name}". To hide the secondary box completely, use an empty tag ``. hovertemplatesrc Sets the source reference on Chart Studio Cloud for `hovertemplate`. hovertext Sets hover text elements associated with each (x,y) pair. If a single string, the same string appears over all the data points. If an array of string, the items are mapped in order to the this trace's (x,y) coordinates. To be seen, trace `hoverinfo` must contain a "text" flag. hovertextsrc Sets the source reference on Chart Studio Cloud for `hovertext`. ids Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type. idssrc Sets the source reference on Chart Studio Cloud for `ids`. insidetextanchor Determines if texts are kept at center or start/end points in `textposition` "inside" mode. insidetextfont Sets the font used for `text` lying inside the bar. legend Sets the reference to a legend to show this trace in. References to these legends are "legend", "legend2", "legend3", etc. Settings for these legends are set in the layout, under `layout.legend`, `layout.legend2`, etc. legendgroup Sets the legend group for this trace. Traces and shapes part of the same legend group hide/show at the same time when toggling legend items. legendgrouptitle :class:`plotly.graph_objects.bar.Legendgrouptitle` instance or dict with compatible properties legendrank Sets the legend rank for this trace. Items and groups with smaller ranks are presented on top/left side while with "reversed" `legend.traceorder` they are on bottom/right side. The default legendrank is 1000, so that you can use ranks less than 1000 to place certain items before all unranked items, and ranks greater than 1000 to go after all unranked items. When having unranked or equal rank items shapes would be displayed after traces i.e. according to their order in data and layout. legendwidth Sets the width (in px or fraction) of the legend for this trace. marker :class:`plotly.graph_objects.bar.Marker` instance or dict with compatible properties meta Assigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace `name`, graph, axis and colorbar `title.text`, annotation `text` `rangeselector`, `updatemenues` and `sliders` `label` text all support `meta`. To access the trace `meta` values in an attribute in the same trace, simply use `%{meta[i]}` where `i` is the index or key of the `meta` item in question. To access trace `meta` in layout attributes, use `%{data[n[.meta[i]}` where `i` is the index or key of the `meta` and `n` is the trace index. metasrc Sets the source reference on Chart Studio Cloud for `meta`. name Sets the trace name. The trace name appears as the legend item and on hover. offset Shifts the position where the bar is drawn (in position axis units). In "group" barmode, traces that set "offset" will be excluded and drawn in "overlay" mode instead. offsetgroup Set several traces linked to the same position axis or matching axes to the same offsetgroup where bars of the same position coordinate will line up. offsetsrc Sets the source reference on Chart Studio Cloud for `offset`. opacity Sets the opacity of the trace. orientation Sets the orientation of the bars. With "v" ("h"), the value of the each bar spans along the vertical (horizontal). outsidetextfont Sets the font used for `text` lying outside the bar. selected :class:`plotly.graph_objects.bar.Selected` instance or dict with compatible properties selectedpoints Array containing integer indices of selected points. Has an effect only for traces that support selections. Note that an empty array means an empty selection where the `unselected` are turned on for all points, whereas, any other non-array values means no selection all where the `selected` and `unselected` styles have no effect. showlegend Determines whether or not an item corresponding to this trace is shown in the legend. stream :class:`plotly.graph_objects.bar.Stream` instance or dict with compatible properties text Sets text elements associated with each (x,y) pair. If a single string, the same string appears over all the data points. If an array of string, the items are mapped in order to the this trace's (x,y) coordinates. If trace `hoverinfo` contains a "text" flag and "hovertext" is not set, these elements will be seen in the hover labels. textangle Sets the angle of the tick labels with respect to the bar. For example, a `tickangle` of -90 draws the tick labels vertically. With "auto" the texts may automatically be rotated to fit with the maximum size in bars. textfont Sets the font used for `text`. textposition Specifies the location of the `text`. "inside" positions `text` inside, next to the bar end (rotated and scaled if needed). "outside" positions `text` outside, next to the bar end (scaled if needed), unless there is another bar stacked on this one, then the text gets pushed inside. "auto" tries to position `text` inside the bar, but if the bar is too small and no bar is stacked on this one the text is moved outside. If "none", no text appears. textpositionsrc Sets the source reference on Chart Studio Cloud for `textposition`. textsrc Sets the source reference on Chart Studio Cloud for `text`. texttemplate Template string used for rendering the information text that appear on points. Note that this will override `textinfo`. Variables are inserted using %{variable}, for example "y: %{y}". Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. Every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. Finally, the template string has access to variables `value` and `label`. texttemplatesrc Sets the source reference on Chart Studio Cloud for `texttemplate`. uid Assign an id to this trace, Use this to provide object constancy between traces during animations and transitions. uirevision Controls persistence of some user-driven changes to the trace: `constraintrange` in `parcoords` traces, as well as some `editable: true` modifications such as `name` and `colorbar.title`. Defaults to `layout.uirevision`. Note that other user-driven trace attribute changes are controlled by `layout` attributes: `trace.visible` is controlled by `layout.legend.uirevision`, `selectedpoints` is controlled by `layout.selectionrevision`, and `colorbar.(x|y)` (accessible with `config: {editable: true}`) is controlled by `layout.editrevision`. Trace changes are tracked by `uid`, which only falls back on trace index if no `uid` is provided. So if your app can add/remove traces before the end of the `data` array, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace a `uid` that stays with it as it moves. unselected :class:`plotly.graph_objects.bar.Unselected` instance or dict with compatible properties visible Determines whether or not this trace is visible. If "legendonly", the trace is not drawn, but can appear as a legend item (provided that the legend itself is visible). width Sets the bar width (in position axis units). widthsrc Sets the source reference on Chart Studio Cloud for `width`. x Sets the x coordinates. x0 Alternate to `x`. Builds a linear space of x coordinates. Use with `dx` where `x0` is the starting coordinate and `dx` the step. xaxis Sets a reference between this trace's x coordinates and a 2D cartesian x axis. If "x" (the default value), the x coordinates refer to `layout.xaxis`. If "x2", the x coordinates refer to `layout.xaxis2`, and so on. xcalendar Sets the calendar system to use with `x` date data. xhoverformat Sets the hover text formatting rulefor `x` using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-format/tree/v1.4.5#d3-format. And for dates see: https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format. We add two items to d3's date formatter: "%h" for half of the year as a decimal number as well as "%{n}f" for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat "%H~%M~%S.%2f" would display *09~15~23.46*By default the values are formatted using `xaxis.hoverformat`. xperiod Only relevant when the axis `type` is "date". Sets the period positioning in milliseconds or "M" on the x axis. Special values in the form of "M" could be used to declare the number of months. In this case `n` must be a positive integer. xperiod0 Only relevant when the axis `type` is "date". Sets the base for period positioning in milliseconds or date string on the x0 axis. When `x0period` is round number of weeks, the `x0period0` by default would be on a Sunday i.e. 2000-01-02, otherwise it would be at 2000-01-01. xperiodalignment Only relevant when the axis `type` is "date". Sets the alignment of data points on the x axis. xsrc Sets the source reference on Chart Studio Cloud for `x`. y Sets the y coordinates. y0 Alternate to `y`. Builds a linear space of y coordinates. Use with `dy` where `y0` is the starting coordinate and `dy` the step. yaxis Sets a reference between this trace's y coordinates and a 2D cartesian y axis. If "y" (the default value), the y coordinates refer to `layout.yaxis`. If "y2", the y coordinates refer to `layout.yaxis2`, and so on. ycalendar Sets the calendar system to use with `y` date data. yhoverformat Sets the hover text formatting rulefor `y` using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-format/tree/v1.4.5#d3-format. And for dates see: https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format. We add two items to d3's date formatter: "%h" for half of the year as a decimal number as well as "%{n}f" for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat "%H~%M~%S.%2f" would display *09~15~23.46*By default the values are formatted using `yaxis.hoverformat`. yperiod Only relevant when the axis `type` is "date". Sets the period positioning in milliseconds or "M" on the y axis. Special values in the form of "M" could be used to declare the number of months. In this case `n` must be a positive integer. yperiod0 Only relevant when the axis `type` is "date". Sets the base for period positioning in milliseconds or date string on the y0 axis. When `y0period` is round number of weeks, the `y0period0` by default would be on a Sunday i.e. 2000-01-02, otherwise it would be at 2000-01-01. yperiodalignment Only relevant when the axis `type` is "date". Sets the alignment of data points on the y axis. ysrc Sets the source reference on Chart Studio Cloud for `y`. zorder Sets the layer on which this trace is displayed, relative to other SVG traces on the same subplot. SVG traces with higher `zorder` appear in front of those with lower `zorder`. row : 'all', int or None (default) Subplot row index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all rows in the specified column(s). col : 'all', int or None (default) Subplot col index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all columns in the specified row(s). secondary_y: boolean or None (default None) If True, associate this trace with the secondary y-axis of the subplot at the specified row and col. Only valid if all of the following conditions are satisfied: * The figure was created using `plotly.subplots.make_subplots`. * The row and col arguments are not None * The subplot at the specified row and col has type xy (which is the default) and secondary_y True. These properties are specified in the specs argument to make_subplots. See the make_subplots docstring for more info. Returns ------- FigureWidget """ from plotly.graph_objs import Bar new_trace = Bar( alignmentgroup=alignmentgroup, base=base, basesrc=basesrc, cliponaxis=cliponaxis, constraintext=constraintext, customdata=customdata, customdatasrc=customdatasrc, dx=dx, dy=dy, error_x=error_x, error_y=error_y, hoverinfo=hoverinfo, hoverinfosrc=hoverinfosrc, hoverlabel=hoverlabel, hovertemplate=hovertemplate, hovertemplatesrc=hovertemplatesrc, hovertext=hovertext, hovertextsrc=hovertextsrc, ids=ids, idssrc=idssrc, insidetextanchor=insidetextanchor, insidetextfont=insidetextfont, legend=legend, legendgroup=legendgroup, legendgrouptitle=legendgrouptitle, legendrank=legendrank, legendwidth=legendwidth, marker=marker, meta=meta, metasrc=metasrc, name=name, offset=offset, offsetgroup=offsetgroup, offsetsrc=offsetsrc, opacity=opacity, orientation=orientation, outsidetextfont=outsidetextfont, selected=selected, selectedpoints=selectedpoints, showlegend=showlegend, stream=stream, text=text, textangle=textangle, textfont=textfont, textposition=textposition, textpositionsrc=textpositionsrc, textsrc=textsrc, texttemplate=texttemplate, texttemplatesrc=texttemplatesrc, uid=uid, uirevision=uirevision, unselected=unselected, visible=visible, width=width, widthsrc=widthsrc, x=x, x0=x0, xaxis=xaxis, xcalendar=xcalendar, xhoverformat=xhoverformat, xperiod=xperiod, xperiod0=xperiod0, xperiodalignment=xperiodalignment, xsrc=xsrc, y=y, y0=y0, yaxis=yaxis, ycalendar=ycalendar, yhoverformat=yhoverformat, yperiod=yperiod, yperiod0=yperiod0, yperiodalignment=yperiodalignment, ysrc=ysrc, zorder=zorder, **kwargs, ) return self.add_trace(new_trace, row=row, col=col, secondary_y=secondary_y) def add_barpolar( self, base=None, basesrc=None, customdata=None, customdatasrc=None, dr=None, dtheta=None, hoverinfo=None, hoverinfosrc=None, hoverlabel=None, hovertemplate=None, hovertemplatesrc=None, hovertext=None, hovertextsrc=None, ids=None, idssrc=None, legend=None, legendgroup=None, legendgrouptitle=None, legendrank=None, legendwidth=None, marker=None, meta=None, metasrc=None, name=None, offset=None, offsetsrc=None, opacity=None, r=None, r0=None, rsrc=None, selected=None, selectedpoints=None, showlegend=None, stream=None, subplot=None, text=None, textsrc=None, theta=None, theta0=None, thetasrc=None, thetaunit=None, uid=None, uirevision=None, unselected=None, visible=None, width=None, widthsrc=None, row=None, col=None, **kwargs, ) -> "FigureWidget": """ Add a new Barpolar trace The data visualized by the radial span of the bars is set in `r` Parameters ---------- base Sets where the bar base is drawn (in radial axis units). In "stack" barmode, traces that set "base" will be excluded and drawn in "overlay" mode instead. basesrc Sets the source reference on Chart Studio Cloud for `base`. customdata Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, "scatter" traces also appends customdata items in the markers DOM elements customdatasrc Sets the source reference on Chart Studio Cloud for `customdata`. dr Sets the r coordinate step. dtheta Sets the theta coordinate step. By default, the `dtheta` step equals the subplot's period divided by the length of the `r` coordinates. hoverinfo Determines which trace information appear on hover. If `none` or `skip` are set, no information is displayed upon hovering. But, if `none` is set, click and hover events are still fired. hoverinfosrc Sets the source reference on Chart Studio Cloud for `hoverinfo`. hoverlabel :class:`plotly.graph_objects.barpolar.Hoverlabel` instance or dict with compatible properties hovertemplate Template string used for rendering the information that appear on hover box. Note that this will override `hoverinfo`. Variables are inserted using %{variable}, for example "y: %{y}" as well as %{xother}, {%_xother}, {%_xother_}, {%xother_}. When showing info for several points, "xother" will be added to those with different x positions from the first point. An underscore before or after "(x|y)other" will add a space on that side, only when this field is shown. Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. The variables available in `hovertemplate` are the ones emitted as event data described at this link https://plotly.com/javascript/plotlyjs-events/#event- data. Additionally, every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. Anything contained in tag `` is displayed in the secondary box, for example "{fullData.name}". To hide the secondary box completely, use an empty tag ``. hovertemplatesrc Sets the source reference on Chart Studio Cloud for `hovertemplate`. hovertext Same as `text`. hovertextsrc Sets the source reference on Chart Studio Cloud for `hovertext`. ids Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type. idssrc Sets the source reference on Chart Studio Cloud for `ids`. legend Sets the reference to a legend to show this trace in. References to these legends are "legend", "legend2", "legend3", etc. Settings for these legends are set in the layout, under `layout.legend`, `layout.legend2`, etc. legendgroup Sets the legend group for this trace. Traces and shapes part of the same legend group hide/show at the same time when toggling legend items. legendgrouptitle :class:`plotly.graph_objects.barpolar.Legendgrouptitle` instance or dict with compatible properties legendrank Sets the legend rank for this trace. Items and groups with smaller ranks are presented on top/left side while with "reversed" `legend.traceorder` they are on bottom/right side. The default legendrank is 1000, so that you can use ranks less than 1000 to place certain items before all unranked items, and ranks greater than 1000 to go after all unranked items. When having unranked or equal rank items shapes would be displayed after traces i.e. according to their order in data and layout. legendwidth Sets the width (in px or fraction) of the legend for this trace. marker :class:`plotly.graph_objects.barpolar.Marker` instance or dict with compatible properties meta Assigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace `name`, graph, axis and colorbar `title.text`, annotation `text` `rangeselector`, `updatemenues` and `sliders` `label` text all support `meta`. To access the trace `meta` values in an attribute in the same trace, simply use `%{meta[i]}` where `i` is the index or key of the `meta` item in question. To access trace `meta` in layout attributes, use `%{data[n[.meta[i]}` where `i` is the index or key of the `meta` and `n` is the trace index. metasrc Sets the source reference on Chart Studio Cloud for `meta`. name Sets the trace name. The trace name appears as the legend item and on hover. offset Shifts the angular position where the bar is drawn (in "thetatunit" units). offsetsrc Sets the source reference on Chart Studio Cloud for `offset`. opacity Sets the opacity of the trace. r Sets the radial coordinates r0 Alternate to `r`. Builds a linear space of r coordinates. Use with `dr` where `r0` is the starting coordinate and `dr` the step. rsrc Sets the source reference on Chart Studio Cloud for `r`. selected :class:`plotly.graph_objects.barpolar.Selected` instance or dict with compatible properties selectedpoints Array containing integer indices of selected points. Has an effect only for traces that support selections. Note that an empty array means an empty selection where the `unselected` are turned on for all points, whereas, any other non-array values means no selection all where the `selected` and `unselected` styles have no effect. showlegend Determines whether or not an item corresponding to this trace is shown in the legend. stream :class:`plotly.graph_objects.barpolar.Stream` instance or dict with compatible properties subplot Sets a reference between this trace's data coordinates and a polar subplot. If "polar" (the default value), the data refer to `layout.polar`. If "polar2", the data refer to `layout.polar2`, and so on. text Sets hover text elements associated with each bar. If a single string, the same string appears over all bars. If an array of string, the items are mapped in order to the this trace's coordinates. textsrc Sets the source reference on Chart Studio Cloud for `text`. theta Sets the angular coordinates theta0 Alternate to `theta`. Builds a linear space of theta coordinates. Use with `dtheta` where `theta0` is the starting coordinate and `dtheta` the step. thetasrc Sets the source reference on Chart Studio Cloud for `theta`. thetaunit Sets the unit of input "theta" values. Has an effect only when on "linear" angular axes. uid Assign an id to this trace, Use this to provide object constancy between traces during animations and transitions. uirevision Controls persistence of some user-driven changes to the trace: `constraintrange` in `parcoords` traces, as well as some `editable: true` modifications such as `name` and `colorbar.title`. Defaults to `layout.uirevision`. Note that other user-driven trace attribute changes are controlled by `layout` attributes: `trace.visible` is controlled by `layout.legend.uirevision`, `selectedpoints` is controlled by `layout.selectionrevision`, and `colorbar.(x|y)` (accessible with `config: {editable: true}`) is controlled by `layout.editrevision`. Trace changes are tracked by `uid`, which only falls back on trace index if no `uid` is provided. So if your app can add/remove traces before the end of the `data` array, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace a `uid` that stays with it as it moves. unselected :class:`plotly.graph_objects.barpolar.Unselected` instance or dict with compatible properties visible Determines whether or not this trace is visible. If "legendonly", the trace is not drawn, but can appear as a legend item (provided that the legend itself is visible). width Sets the bar angular width (in "thetaunit" units). widthsrc Sets the source reference on Chart Studio Cloud for `width`. row : 'all', int or None (default) Subplot row index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all rows in the specified column(s). col : 'all', int or None (default) Subplot col index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all columns in the specified row(s). Returns ------- FigureWidget """ from plotly.graph_objs import Barpolar new_trace = Barpolar( base=base, basesrc=basesrc, customdata=customdata, customdatasrc=customdatasrc, dr=dr, dtheta=dtheta, hoverinfo=hoverinfo, hoverinfosrc=hoverinfosrc, hoverlabel=hoverlabel, hovertemplate=hovertemplate, hovertemplatesrc=hovertemplatesrc, hovertext=hovertext, hovertextsrc=hovertextsrc, ids=ids, idssrc=idssrc, legend=legend, legendgroup=legendgroup, legendgrouptitle=legendgrouptitle, legendrank=legendrank, legendwidth=legendwidth, marker=marker, meta=meta, metasrc=metasrc, name=name, offset=offset, offsetsrc=offsetsrc, opacity=opacity, r=r, r0=r0, rsrc=rsrc, selected=selected, selectedpoints=selectedpoints, showlegend=showlegend, stream=stream, subplot=subplot, text=text, textsrc=textsrc, theta=theta, theta0=theta0, thetasrc=thetasrc, thetaunit=thetaunit, uid=uid, uirevision=uirevision, unselected=unselected, visible=visible, width=width, widthsrc=widthsrc, **kwargs, ) return self.add_trace(new_trace, row=row, col=col) def add_box( self, alignmentgroup=None, boxmean=None, boxpoints=None, customdata=None, customdatasrc=None, dx=None, dy=None, fillcolor=None, hoverinfo=None, hoverinfosrc=None, hoverlabel=None, hoveron=None, hovertemplate=None, hovertemplatesrc=None, hovertext=None, hovertextsrc=None, ids=None, idssrc=None, jitter=None, legend=None, legendgroup=None, legendgrouptitle=None, legendrank=None, legendwidth=None, line=None, lowerfence=None, lowerfencesrc=None, marker=None, mean=None, meansrc=None, median=None, mediansrc=None, meta=None, metasrc=None, name=None, notched=None, notchspan=None, notchspansrc=None, notchwidth=None, offsetgroup=None, opacity=None, orientation=None, pointpos=None, q1=None, q1src=None, q3=None, q3src=None, quartilemethod=None, sd=None, sdmultiple=None, sdsrc=None, selected=None, selectedpoints=None, showlegend=None, showwhiskers=None, sizemode=None, stream=None, text=None, textsrc=None, uid=None, uirevision=None, unselected=None, upperfence=None, upperfencesrc=None, visible=None, whiskerwidth=None, width=None, x=None, x0=None, xaxis=None, xcalendar=None, xhoverformat=None, xperiod=None, xperiod0=None, xperiodalignment=None, xsrc=None, y=None, y0=None, yaxis=None, ycalendar=None, yhoverformat=None, yperiod=None, yperiod0=None, yperiodalignment=None, ysrc=None, zorder=None, row=None, col=None, secondary_y=None, **kwargs, ) -> "FigureWidget": """ Add a new Box trace Each box spans from quartile 1 (Q1) to quartile 3 (Q3). The second quartile (Q2, i.e. the median) is marked by a line inside the box. The fences grow outward from the boxes' edges, by default they span +/- 1.5 times the interquartile range (IQR: Q3-Q1), The sample mean and standard deviation as well as notches and the sample, outlier and suspected outliers points can be optionally added to the box plot. The values and positions corresponding to each boxes can be input using two signatures. The first signature expects users to supply the sample values in the `y` data array for vertical boxes (`x` for horizontal boxes). By supplying an `x` (`y`) array, one box per distinct `x` (`y`) value is drawn If no `x` (`y`) list is provided, a single box is drawn. In this case, the box is positioned with the trace `name` or with `x0` (`y0`) if provided. The second signature expects users to supply the boxes corresponding Q1, median and Q3 statistics in the `q1`, `median` and `q3` data arrays respectively. Other box features relying on statistics namely `lowerfence`, `upperfence`, `notchspan` can be set directly by the users. To have plotly compute them or to show sample points besides the boxes, users can set the `y` data array for vertical boxes (`x` for horizontal boxes) to a 2D array with the outer length corresponding to the number of boxes in the traces and the inner length corresponding the sample size. Parameters ---------- alignmentgroup Set several traces linked to the same position axis or matching axes to the same alignmentgroup. This controls whether bars compute their positional range dependently or independently. boxmean If True, the mean of the box(es)' underlying distribution is drawn as a dashed line inside the box(es). If "sd" the standard deviation is also drawn. Defaults to True when `mean` is set. Defaults to "sd" when `sd` is set Otherwise defaults to False. boxpoints If "outliers", only the sample points lying outside the whiskers are shown If "suspectedoutliers", the outlier points are shown and points either less than 4*Q1-3*Q3 or greater than 4*Q3-3*Q1 are highlighted (see `outliercolor`) If "all", all sample points are shown If False, only the box(es) are shown with no sample points Defaults to "suspectedoutliers" when `marker.outliercolor` or `marker.line.outliercolor` is set. Defaults to "all" under the q1/median/q3 signature. Otherwise defaults to "outliers". customdata Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, "scatter" traces also appends customdata items in the markers DOM elements customdatasrc Sets the source reference on Chart Studio Cloud for `customdata`. dx Sets the x coordinate step for multi-box traces set using q1/median/q3. dy Sets the y coordinate step for multi-box traces set using q1/median/q3. fillcolor Sets the fill color. Defaults to a half-transparent variant of the line color, marker color, or marker line color, whichever is available. hoverinfo Determines which trace information appear on hover. If `none` or `skip` are set, no information is displayed upon hovering. But, if `none` is set, click and hover events are still fired. hoverinfosrc Sets the source reference on Chart Studio Cloud for `hoverinfo`. hoverlabel :class:`plotly.graph_objects.box.Hoverlabel` instance or dict with compatible properties hoveron Do the hover effects highlight individual boxes or sample points or both? hovertemplate Template string used for rendering the information that appear on hover box. Note that this will override `hoverinfo`. Variables are inserted using %{variable}, for example "y: %{y}" as well as %{xother}, {%_xother}, {%_xother_}, {%xother_}. When showing info for several points, "xother" will be added to those with different x positions from the first point. An underscore before or after "(x|y)other" will add a space on that side, only when this field is shown. Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. The variables available in `hovertemplate` are the ones emitted as event data described at this link https://plotly.com/javascript/plotlyjs-events/#event- data. Additionally, every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. Anything contained in tag `` is displayed in the secondary box, for example "{fullData.name}". To hide the secondary box completely, use an empty tag ``. hovertemplatesrc Sets the source reference on Chart Studio Cloud for `hovertemplate`. hovertext Same as `text`. hovertextsrc Sets the source reference on Chart Studio Cloud for `hovertext`. ids Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type. idssrc Sets the source reference on Chart Studio Cloud for `ids`. jitter Sets the amount of jitter in the sample points drawn. If 0, the sample points align along the distribution axis. If 1, the sample points are drawn in a random jitter of width equal to the width of the box(es). legend Sets the reference to a legend to show this trace in. References to these legends are "legend", "legend2", "legend3", etc. Settings for these legends are set in the layout, under `layout.legend`, `layout.legend2`, etc. legendgroup Sets the legend group for this trace. Traces and shapes part of the same legend group hide/show at the same time when toggling legend items. legendgrouptitle :class:`plotly.graph_objects.box.Legendgrouptitle` instance or dict with compatible properties legendrank Sets the legend rank for this trace. Items and groups with smaller ranks are presented on top/left side while with "reversed" `legend.traceorder` they are on bottom/right side. The default legendrank is 1000, so that you can use ranks less than 1000 to place certain items before all unranked items, and ranks greater than 1000 to go after all unranked items. When having unranked or equal rank items shapes would be displayed after traces i.e. according to their order in data and layout. legendwidth Sets the width (in px or fraction) of the legend for this trace. line :class:`plotly.graph_objects.box.Line` instance or dict with compatible properties lowerfence Sets the lower fence values. There should be as many items as the number of boxes desired. This attribute has effect only under the q1/median/q3 signature. If `lowerfence` is not provided but a sample (in `y` or `x`) is set, we compute the lower as the last sample point below 1.5 times the IQR. lowerfencesrc Sets the source reference on Chart Studio Cloud for `lowerfence`. marker :class:`plotly.graph_objects.box.Marker` instance or dict with compatible properties mean Sets the mean values. There should be as many items as the number of boxes desired. This attribute has effect only under the q1/median/q3 signature. If `mean` is not provided but a sample (in `y` or `x`) is set, we compute the mean for each box using the sample values. meansrc Sets the source reference on Chart Studio Cloud for `mean`. median Sets the median values. There should be as many items as the number of boxes desired. mediansrc Sets the source reference on Chart Studio Cloud for `median`. meta Assigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace `name`, graph, axis and colorbar `title.text`, annotation `text` `rangeselector`, `updatemenues` and `sliders` `label` text all support `meta`. To access the trace `meta` values in an attribute in the same trace, simply use `%{meta[i]}` where `i` is the index or key of the `meta` item in question. To access trace `meta` in layout attributes, use `%{data[n[.meta[i]}` where `i` is the index or key of the `meta` and `n` is the trace index. metasrc Sets the source reference on Chart Studio Cloud for `meta`. name Sets the trace name. The trace name appears as the legend item and on hover. For box traces, the name will also be used for the position coordinate, if `x` and `x0` (`y` and `y0` if horizontal) are missing and the position axis is categorical notched Determines whether or not notches are drawn. Notches displays a confidence interval around the median. We compute the confidence interval as median +/- 1.57 * IQR / sqrt(N), where IQR is the interquartile range and N is the sample size. If two boxes' notches do not overlap there is 95% confidence their medians differ. See https://sites.google.com/site/davidsstatistics/home /notched-box-plots for more info. Defaults to False unless `notchwidth` or `notchspan` is set. notchspan Sets the notch span from the boxes' `median` values. There should be as many items as the number of boxes desired. This attribute has effect only under the q1/median/q3 signature. If `notchspan` is not provided but a sample (in `y` or `x`) is set, we compute it as 1.57 * IQR / sqrt(N), where N is the sample size. notchspansrc Sets the source reference on Chart Studio Cloud for `notchspan`. notchwidth Sets the width of the notches relative to the box' width. For example, with 0, the notches are as wide as the box(es). offsetgroup Set several traces linked to the same position axis or matching axes to the same offsetgroup where bars of the same position coordinate will line up. opacity Sets the opacity of the trace. orientation Sets the orientation of the box(es). If "v" ("h"), the distribution is visualized along the vertical (horizontal). pointpos Sets the position of the sample points in relation to the box(es). If 0, the sample points are places over the center of the box(es). Positive (negative) values correspond to positions to the right (left) for vertical boxes and above (below) for horizontal boxes q1 Sets the Quartile 1 values. There should be as many items as the number of boxes desired. q1src Sets the source reference on Chart Studio Cloud for `q1`. q3 Sets the Quartile 3 values. There should be as many items as the number of boxes desired. q3src Sets the source reference on Chart Studio Cloud for `q3`. quartilemethod Sets the method used to compute the sample's Q1 and Q3 quartiles. The "linear" method uses the 25th percentile for Q1 and 75th percentile for Q3 as computed using method #10 (listed on http://jse.amstat.org/v14n3/langford.html). The "exclusive" method uses the median to divide the ordered dataset into two halves if the sample is odd, it does not include the median in either half - Q1 is then the median of the lower half and Q3 the median of the upper half. The "inclusive" method also uses the median to divide the ordered dataset into two halves but if the sample is odd, it includes the median in both halves - Q1 is then the median of the lower half and Q3 the median of the upper half. sd Sets the standard deviation values. There should be as many items as the number of boxes desired. This attribute has effect only under the q1/median/q3 signature. If `sd` is not provided but a sample (in `y` or `x`) is set, we compute the standard deviation for each box using the sample values. sdmultiple Scales the box size when sizemode=sd Allowing boxes to be drawn across any stddev range For example 1-stddev, 3-stddev, 5-stddev sdsrc Sets the source reference on Chart Studio Cloud for `sd`. selected :class:`plotly.graph_objects.box.Selected` instance or dict with compatible properties selectedpoints Array containing integer indices of selected points. Has an effect only for traces that support selections. Note that an empty array means an empty selection where the `unselected` are turned on for all points, whereas, any other non-array values means no selection all where the `selected` and `unselected` styles have no effect. showlegend Determines whether or not an item corresponding to this trace is shown in the legend. showwhiskers Determines whether or not whiskers are visible. Defaults to true for `sizemode` "quartiles", false for "sd". sizemode Sets the upper and lower bound for the boxes quartiles means box is drawn between Q1 and Q3 SD means the box is drawn between Mean +- Standard Deviation Argument sdmultiple (default 1) to scale the box size So it could be drawn 1-stddev, 3-stddev etc stream :class:`plotly.graph_objects.box.Stream` instance or dict with compatible properties text Sets the text elements associated with each sample value. If a single string, the same string appears over all the data points. If an array of string, the items are mapped in order to the this trace's (x,y) coordinates. To be seen, trace `hoverinfo` must contain a "text" flag. textsrc Sets the source reference on Chart Studio Cloud for `text`. uid Assign an id to this trace, Use this to provide object constancy between traces during animations and transitions. uirevision Controls persistence of some user-driven changes to the trace: `constraintrange` in `parcoords` traces, as well as some `editable: true` modifications such as `name` and `colorbar.title`. Defaults to `layout.uirevision`. Note that other user-driven trace attribute changes are controlled by `layout` attributes: `trace.visible` is controlled by `layout.legend.uirevision`, `selectedpoints` is controlled by `layout.selectionrevision`, and `colorbar.(x|y)` (accessible with `config: {editable: true}`) is controlled by `layout.editrevision`. Trace changes are tracked by `uid`, which only falls back on trace index if no `uid` is provided. So if your app can add/remove traces before the end of the `data` array, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace a `uid` that stays with it as it moves. unselected :class:`plotly.graph_objects.box.Unselected` instance or dict with compatible properties upperfence Sets the upper fence values. There should be as many items as the number of boxes desired. This attribute has effect only under the q1/median/q3 signature. If `upperfence` is not provided but a sample (in `y` or `x`) is set, we compute the upper as the last sample point above 1.5 times the IQR. upperfencesrc Sets the source reference on Chart Studio Cloud for `upperfence`. visible Determines whether or not this trace is visible. If "legendonly", the trace is not drawn, but can appear as a legend item (provided that the legend itself is visible). whiskerwidth Sets the width of the whiskers relative to the box' width. For example, with 1, the whiskers are as wide as the box(es). width Sets the width of the box in data coordinate If 0 (default value) the width is automatically selected based on the positions of other box traces in the same subplot. x Sets the x sample data or coordinates. See overview for more info. x0 Sets the x coordinate for single-box traces or the starting coordinate for multi-box traces set using q1/median/q3. See overview for more info. xaxis Sets a reference between this trace's x coordinates and a 2D cartesian x axis. If "x" (the default value), the x coordinates refer to `layout.xaxis`. If "x2", the x coordinates refer to `layout.xaxis2`, and so on. xcalendar Sets the calendar system to use with `x` date data. xhoverformat Sets the hover text formatting rulefor `x` using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-format/tree/v1.4.5#d3-format. And for dates see: https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format. We add two items to d3's date formatter: "%h" for half of the year as a decimal number as well as "%{n}f" for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat "%H~%M~%S.%2f" would display *09~15~23.46*By default the values are formatted using `xaxis.hoverformat`. xperiod Only relevant when the axis `type` is "date". Sets the period positioning in milliseconds or "M" on the x axis. Special values in the form of "M" could be used to declare the number of months. In this case `n` must be a positive integer. xperiod0 Only relevant when the axis `type` is "date". Sets the base for period positioning in milliseconds or date string on the x0 axis. When `x0period` is round number of weeks, the `x0period0` by default would be on a Sunday i.e. 2000-01-02, otherwise it would be at 2000-01-01. xperiodalignment Only relevant when the axis `type` is "date". Sets the alignment of data points on the x axis. xsrc Sets the source reference on Chart Studio Cloud for `x`. y Sets the y sample data or coordinates. See overview for more info. y0 Sets the y coordinate for single-box traces or the starting coordinate for multi-box traces set using q1/median/q3. See overview for more info. yaxis Sets a reference between this trace's y coordinates and a 2D cartesian y axis. If "y" (the default value), the y coordinates refer to `layout.yaxis`. If "y2", the y coordinates refer to `layout.yaxis2`, and so on. ycalendar Sets the calendar system to use with `y` date data. yhoverformat Sets the hover text formatting rulefor `y` using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-format/tree/v1.4.5#d3-format. And for dates see: https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format. We add two items to d3's date formatter: "%h" for half of the year as a decimal number as well as "%{n}f" for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat "%H~%M~%S.%2f" would display *09~15~23.46*By default the values are formatted using `yaxis.hoverformat`. yperiod Only relevant when the axis `type` is "date". Sets the period positioning in milliseconds or "M" on the y axis. Special values in the form of "M" could be used to declare the number of months. In this case `n` must be a positive integer. yperiod0 Only relevant when the axis `type` is "date". Sets the base for period positioning in milliseconds or date string on the y0 axis. When `y0period` is round number of weeks, the `y0period0` by default would be on a Sunday i.e. 2000-01-02, otherwise it would be at 2000-01-01. yperiodalignment Only relevant when the axis `type` is "date". Sets the alignment of data points on the y axis. ysrc Sets the source reference on Chart Studio Cloud for `y`. zorder Sets the layer on which this trace is displayed, relative to other SVG traces on the same subplot. SVG traces with higher `zorder` appear in front of those with lower `zorder`. row : 'all', int or None (default) Subplot row index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all rows in the specified column(s). col : 'all', int or None (default) Subplot col index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all columns in the specified row(s). secondary_y: boolean or None (default None) If True, associate this trace with the secondary y-axis of the subplot at the specified row and col. Only valid if all of the following conditions are satisfied: * The figure was created using `plotly.subplots.make_subplots`. * The row and col arguments are not None * The subplot at the specified row and col has type xy (which is the default) and secondary_y True. These properties are specified in the specs argument to make_subplots. See the make_subplots docstring for more info. Returns ------- FigureWidget """ from plotly.graph_objs import Box new_trace = Box( alignmentgroup=alignmentgroup, boxmean=boxmean, boxpoints=boxpoints, customdata=customdata, customdatasrc=customdatasrc, dx=dx, dy=dy, fillcolor=fillcolor, hoverinfo=hoverinfo, hoverinfosrc=hoverinfosrc, hoverlabel=hoverlabel, hoveron=hoveron, hovertemplate=hovertemplate, hovertemplatesrc=hovertemplatesrc, hovertext=hovertext, hovertextsrc=hovertextsrc, ids=ids, idssrc=idssrc, jitter=jitter, legend=legend, legendgroup=legendgroup, legendgrouptitle=legendgrouptitle, legendrank=legendrank, legendwidth=legendwidth, line=line, lowerfence=lowerfence, lowerfencesrc=lowerfencesrc, marker=marker, mean=mean, meansrc=meansrc, median=median, mediansrc=mediansrc, meta=meta, metasrc=metasrc, name=name, notched=notched, notchspan=notchspan, notchspansrc=notchspansrc, notchwidth=notchwidth, offsetgroup=offsetgroup, opacity=opacity, orientation=orientation, pointpos=pointpos, q1=q1, q1src=q1src, q3=q3, q3src=q3src, quartilemethod=quartilemethod, sd=sd, sdmultiple=sdmultiple, sdsrc=sdsrc, selected=selected, selectedpoints=selectedpoints, showlegend=showlegend, showwhiskers=showwhiskers, sizemode=sizemode, stream=stream, text=text, textsrc=textsrc, uid=uid, uirevision=uirevision, unselected=unselected, upperfence=upperfence, upperfencesrc=upperfencesrc, visible=visible, whiskerwidth=whiskerwidth, width=width, x=x, x0=x0, xaxis=xaxis, xcalendar=xcalendar, xhoverformat=xhoverformat, xperiod=xperiod, xperiod0=xperiod0, xperiodalignment=xperiodalignment, xsrc=xsrc, y=y, y0=y0, yaxis=yaxis, ycalendar=ycalendar, yhoverformat=yhoverformat, yperiod=yperiod, yperiod0=yperiod0, yperiodalignment=yperiodalignment, ysrc=ysrc, zorder=zorder, **kwargs, ) return self.add_trace(new_trace, row=row, col=col, secondary_y=secondary_y) def add_candlestick( self, close=None, closesrc=None, customdata=None, customdatasrc=None, decreasing=None, high=None, highsrc=None, hoverinfo=None, hoverinfosrc=None, hoverlabel=None, hovertext=None, hovertextsrc=None, ids=None, idssrc=None, increasing=None, legend=None, legendgroup=None, legendgrouptitle=None, legendrank=None, legendwidth=None, line=None, low=None, lowsrc=None, meta=None, metasrc=None, name=None, opacity=None, open=None, opensrc=None, selectedpoints=None, showlegend=None, stream=None, text=None, textsrc=None, uid=None, uirevision=None, visible=None, whiskerwidth=None, x=None, xaxis=None, xcalendar=None, xhoverformat=None, xperiod=None, xperiod0=None, xperiodalignment=None, xsrc=None, yaxis=None, yhoverformat=None, zorder=None, row=None, col=None, secondary_y=None, **kwargs, ) -> "FigureWidget": """ Add a new Candlestick trace The candlestick is a style of financial chart describing open, high, low and close for a given `x` coordinate (most likely time). The boxes represent the spread between the `open` and `close` values and the lines represent the spread between the `low` and `high` values Sample points where the close value is higher (lower) then the open value are called increasing (decreasing). By default, increasing candles are drawn in green whereas decreasing are drawn in red. Parameters ---------- close Sets the close values. closesrc Sets the source reference on Chart Studio Cloud for `close`. customdata Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, "scatter" traces also appends customdata items in the markers DOM elements customdatasrc Sets the source reference on Chart Studio Cloud for `customdata`. decreasing :class:`plotly.graph_objects.candlestick.Decreasing` instance or dict with compatible properties high Sets the high values. highsrc Sets the source reference on Chart Studio Cloud for `high`. hoverinfo Determines which trace information appear on hover. If `none` or `skip` are set, no information is displayed upon hovering. But, if `none` is set, click and hover events are still fired. hoverinfosrc Sets the source reference on Chart Studio Cloud for `hoverinfo`. hoverlabel :class:`plotly.graph_objects.candlestick.Hoverlabel` instance or dict with compatible properties hovertext Same as `text`. hovertextsrc Sets the source reference on Chart Studio Cloud for `hovertext`. ids Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type. idssrc Sets the source reference on Chart Studio Cloud for `ids`. increasing :class:`plotly.graph_objects.candlestick.Increasing` instance or dict with compatible properties legend Sets the reference to a legend to show this trace in. References to these legends are "legend", "legend2", "legend3", etc. Settings for these legends are set in the layout, under `layout.legend`, `layout.legend2`, etc. legendgroup Sets the legend group for this trace. Traces and shapes part of the same legend group hide/show at the same time when toggling legend items. legendgrouptitle :class:`plotly.graph_objects.candlestick.Legendgrouptit le` instance or dict with compatible properties legendrank Sets the legend rank for this trace. Items and groups with smaller ranks are presented on top/left side while with "reversed" `legend.traceorder` they are on bottom/right side. The default legendrank is 1000, so that you can use ranks less than 1000 to place certain items before all unranked items, and ranks greater than 1000 to go after all unranked items. When having unranked or equal rank items shapes would be displayed after traces i.e. according to their order in data and layout. legendwidth Sets the width (in px or fraction) of the legend for this trace. line :class:`plotly.graph_objects.candlestick.Line` instance or dict with compatible properties low Sets the low values. lowsrc Sets the source reference on Chart Studio Cloud for `low`. meta Assigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace `name`, graph, axis and colorbar `title.text`, annotation `text` `rangeselector`, `updatemenues` and `sliders` `label` text all support `meta`. To access the trace `meta` values in an attribute in the same trace, simply use `%{meta[i]}` where `i` is the index or key of the `meta` item in question. To access trace `meta` in layout attributes, use `%{data[n[.meta[i]}` where `i` is the index or key of the `meta` and `n` is the trace index. metasrc Sets the source reference on Chart Studio Cloud for `meta`. name Sets the trace name. The trace name appears as the legend item and on hover. opacity Sets the opacity of the trace. open Sets the open values. opensrc Sets the source reference on Chart Studio Cloud for `open`. selectedpoints Array containing integer indices of selected points. Has an effect only for traces that support selections. Note that an empty array means an empty selection where the `unselected` are turned on for all points, whereas, any other non-array values means no selection all where the `selected` and `unselected` styles have no effect. showlegend Determines whether or not an item corresponding to this trace is shown in the legend. stream :class:`plotly.graph_objects.candlestick.Stream` instance or dict with compatible properties text Sets hover text elements associated with each sample point. If a single string, the same string appears over all the data points. If an array of string, the items are mapped in order to this trace's sample points. textsrc Sets the source reference on Chart Studio Cloud for `text`. uid Assign an id to this trace, Use this to provide object constancy between traces during animations and transitions. uirevision Controls persistence of some user-driven changes to the trace: `constraintrange` in `parcoords` traces, as well as some `editable: true` modifications such as `name` and `colorbar.title`. Defaults to `layout.uirevision`. Note that other user-driven trace attribute changes are controlled by `layout` attributes: `trace.visible` is controlled by `layout.legend.uirevision`, `selectedpoints` is controlled by `layout.selectionrevision`, and `colorbar.(x|y)` (accessible with `config: {editable: true}`) is controlled by `layout.editrevision`. Trace changes are tracked by `uid`, which only falls back on trace index if no `uid` is provided. So if your app can add/remove traces before the end of the `data` array, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace a `uid` that stays with it as it moves. visible Determines whether or not this trace is visible. If "legendonly", the trace is not drawn, but can appear as a legend item (provided that the legend itself is visible). whiskerwidth Sets the width of the whiskers relative to the box' width. For example, with 1, the whiskers are as wide as the box(es). x Sets the x coordinates. If absent, linear coordinate will be generated. xaxis Sets a reference between this trace's x coordinates and a 2D cartesian x axis. If "x" (the default value), the x coordinates refer to `layout.xaxis`. If "x2", the x coordinates refer to `layout.xaxis2`, and so on. xcalendar Sets the calendar system to use with `x` date data. xhoverformat Sets the hover text formatting rulefor `x` using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-format/tree/v1.4.5#d3-format. And for dates see: https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format. We add two items to d3's date formatter: "%h" for half of the year as a decimal number as well as "%{n}f" for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat "%H~%M~%S.%2f" would display *09~15~23.46*By default the values are formatted using `xaxis.hoverformat`. xperiod Only relevant when the axis `type` is "date". Sets the period positioning in milliseconds or "M" on the x axis. Special values in the form of "M" could be used to declare the number of months. In this case `n` must be a positive integer. xperiod0 Only relevant when the axis `type` is "date". Sets the base for period positioning in milliseconds or date string on the x0 axis. When `x0period` is round number of weeks, the `x0period0` by default would be on a Sunday i.e. 2000-01-02, otherwise it would be at 2000-01-01. xperiodalignment Only relevant when the axis `type` is "date". Sets the alignment of data points on the x axis. xsrc Sets the source reference on Chart Studio Cloud for `x`. yaxis Sets a reference between this trace's y coordinates and a 2D cartesian y axis. If "y" (the default value), the y coordinates refer to `layout.yaxis`. If "y2", the y coordinates refer to `layout.yaxis2`, and so on. yhoverformat Sets the hover text formatting rulefor `y` using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-format/tree/v1.4.5#d3-format. And for dates see: https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format. We add two items to d3's date formatter: "%h" for half of the year as a decimal number as well as "%{n}f" for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat "%H~%M~%S.%2f" would display *09~15~23.46*By default the values are formatted using `yaxis.hoverformat`. zorder Sets the layer on which this trace is displayed, relative to other SVG traces on the same subplot. SVG traces with higher `zorder` appear in front of those with lower `zorder`. row : 'all', int or None (default) Subplot row index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all rows in the specified column(s). col : 'all', int or None (default) Subplot col index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all columns in the specified row(s). secondary_y: boolean or None (default None) If True, associate this trace with the secondary y-axis of the subplot at the specified row and col. Only valid if all of the following conditions are satisfied: * The figure was created using `plotly.subplots.make_subplots`. * The row and col arguments are not None * The subplot at the specified row and col has type xy (which is the default) and secondary_y True. These properties are specified in the specs argument to make_subplots. See the make_subplots docstring for more info. Returns ------- FigureWidget """ from plotly.graph_objs import Candlestick new_trace = Candlestick( close=close, closesrc=closesrc, customdata=customdata, customdatasrc=customdatasrc, decreasing=decreasing, high=high, highsrc=highsrc, hoverinfo=hoverinfo, hoverinfosrc=hoverinfosrc, hoverlabel=hoverlabel, hovertext=hovertext, hovertextsrc=hovertextsrc, ids=ids, idssrc=idssrc, increasing=increasing, legend=legend, legendgroup=legendgroup, legendgrouptitle=legendgrouptitle, legendrank=legendrank, legendwidth=legendwidth, line=line, low=low, lowsrc=lowsrc, meta=meta, metasrc=metasrc, name=name, opacity=opacity, open=open, opensrc=opensrc, selectedpoints=selectedpoints, showlegend=showlegend, stream=stream, text=text, textsrc=textsrc, uid=uid, uirevision=uirevision, visible=visible, whiskerwidth=whiskerwidth, x=x, xaxis=xaxis, xcalendar=xcalendar, xhoverformat=xhoverformat, xperiod=xperiod, xperiod0=xperiod0, xperiodalignment=xperiodalignment, xsrc=xsrc, yaxis=yaxis, yhoverformat=yhoverformat, zorder=zorder, **kwargs, ) return self.add_trace(new_trace, row=row, col=col, secondary_y=secondary_y) def add_carpet( self, a=None, a0=None, aaxis=None, asrc=None, b=None, b0=None, baxis=None, bsrc=None, carpet=None, cheaterslope=None, color=None, customdata=None, customdatasrc=None, da=None, db=None, font=None, ids=None, idssrc=None, legend=None, legendgrouptitle=None, legendrank=None, legendwidth=None, meta=None, metasrc=None, name=None, opacity=None, stream=None, uid=None, uirevision=None, visible=None, x=None, xaxis=None, xsrc=None, y=None, yaxis=None, ysrc=None, zorder=None, row=None, col=None, secondary_y=None, **kwargs, ) -> "FigureWidget": """ Add a new Carpet trace The data describing carpet axis layout is set in `y` and (optionally) also `x`. If only `y` is present, `x` the plot is interpreted as a cheater plot and is filled in using the `y` values. `x` and `y` may either be 2D arrays matching with each dimension matching that of `a` and `b`, or they may be 1D arrays with total length equal to that of `a` and `b`. Parameters ---------- a An array containing values of the first parameter value a0 Alternate to `a`. Builds a linear space of a coordinates. Use with `da` where `a0` is the starting coordinate and `da` the step. aaxis :class:`plotly.graph_objects.carpet.Aaxis` instance or dict with compatible properties asrc Sets the source reference on Chart Studio Cloud for `a`. b A two dimensional array of y coordinates at each carpet point. b0 Alternate to `b`. Builds a linear space of a coordinates. Use with `db` where `b0` is the starting coordinate and `db` the step. baxis :class:`plotly.graph_objects.carpet.Baxis` instance or dict with compatible properties bsrc Sets the source reference on Chart Studio Cloud for `b`. carpet An identifier for this carpet, so that `scattercarpet` and `contourcarpet` traces can specify a carpet plot on which they lie cheaterslope The shift applied to each successive row of data in creating a cheater plot. Only used if `x` is been omitted. color Sets default for all colors associated with this axis all at once: line, font, tick, and grid colors. Grid color is lightened by blending this with the plot background Individual pieces can override this. customdata Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, "scatter" traces also appends customdata items in the markers DOM elements customdatasrc Sets the source reference on Chart Studio Cloud for `customdata`. da Sets the a coordinate step. See `a0` for more info. db Sets the b coordinate step. See `b0` for more info. font The default font used for axis & tick labels on this carpet ids Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type. idssrc Sets the source reference on Chart Studio Cloud for `ids`. legend Sets the reference to a legend to show this trace in. References to these legends are "legend", "legend2", "legend3", etc. Settings for these legends are set in the layout, under `layout.legend`, `layout.legend2`, etc. legendgrouptitle :class:`plotly.graph_objects.carpet.Legendgrouptitle` instance or dict with compatible properties legendrank Sets the legend rank for this trace. Items and groups with smaller ranks are presented on top/left side while with "reversed" `legend.traceorder` they are on bottom/right side. The default legendrank is 1000, so that you can use ranks less than 1000 to place certain items before all unranked items, and ranks greater than 1000 to go after all unranked items. When having unranked or equal rank items shapes would be displayed after traces i.e. according to their order in data and layout. legendwidth Sets the width (in px or fraction) of the legend for this trace. meta Assigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace `name`, graph, axis and colorbar `title.text`, annotation `text` `rangeselector`, `updatemenues` and `sliders` `label` text all support `meta`. To access the trace `meta` values in an attribute in the same trace, simply use `%{meta[i]}` where `i` is the index or key of the `meta` item in question. To access trace `meta` in layout attributes, use `%{data[n[.meta[i]}` where `i` is the index or key of the `meta` and `n` is the trace index. metasrc Sets the source reference on Chart Studio Cloud for `meta`. name Sets the trace name. The trace name appears as the legend item and on hover. opacity Sets the opacity of the trace. stream :class:`plotly.graph_objects.carpet.Stream` instance or dict with compatible properties uid Assign an id to this trace, Use this to provide object constancy between traces during animations and transitions. uirevision Controls persistence of some user-driven changes to the trace: `constraintrange` in `parcoords` traces, as well as some `editable: true` modifications such as `name` and `colorbar.title`. Defaults to `layout.uirevision`. Note that other user-driven trace attribute changes are controlled by `layout` attributes: `trace.visible` is controlled by `layout.legend.uirevision`, `selectedpoints` is controlled by `layout.selectionrevision`, and `colorbar.(x|y)` (accessible with `config: {editable: true}`) is controlled by `layout.editrevision`. Trace changes are tracked by `uid`, which only falls back on trace index if no `uid` is provided. So if your app can add/remove traces before the end of the `data` array, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace a `uid` that stays with it as it moves. visible Determines whether or not this trace is visible. If "legendonly", the trace is not drawn, but can appear as a legend item (provided that the legend itself is visible). x A two dimensional array of x coordinates at each carpet point. If omitted, the plot is a cheater plot and the xaxis is hidden by default. xaxis Sets a reference between this trace's x coordinates and a 2D cartesian x axis. If "x" (the default value), the x coordinates refer to `layout.xaxis`. If "x2", the x coordinates refer to `layout.xaxis2`, and so on. xsrc Sets the source reference on Chart Studio Cloud for `x`. y A two dimensional array of y coordinates at each carpet point. yaxis Sets a reference between this trace's y coordinates and a 2D cartesian y axis. If "y" (the default value), the y coordinates refer to `layout.yaxis`. If "y2", the y coordinates refer to `layout.yaxis2`, and so on. ysrc Sets the source reference on Chart Studio Cloud for `y`. zorder Sets the layer on which this trace is displayed, relative to other SVG traces on the same subplot. SVG traces with higher `zorder` appear in front of those with lower `zorder`. row : 'all', int or None (default) Subplot row index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all rows in the specified column(s). col : 'all', int or None (default) Subplot col index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all columns in the specified row(s). secondary_y: boolean or None (default None) If True, associate this trace with the secondary y-axis of the subplot at the specified row and col. Only valid if all of the following conditions are satisfied: * The figure was created using `plotly.subplots.make_subplots`. * The row and col arguments are not None * The subplot at the specified row and col has type xy (which is the default) and secondary_y True. These properties are specified in the specs argument to make_subplots. See the make_subplots docstring for more info. Returns ------- FigureWidget """ from plotly.graph_objs import Carpet new_trace = Carpet( a=a, a0=a0, aaxis=aaxis, asrc=asrc, b=b, b0=b0, baxis=baxis, bsrc=bsrc, carpet=carpet, cheaterslope=cheaterslope, color=color, customdata=customdata, customdatasrc=customdatasrc, da=da, db=db, font=font, ids=ids, idssrc=idssrc, legend=legend, legendgrouptitle=legendgrouptitle, legendrank=legendrank, legendwidth=legendwidth, meta=meta, metasrc=metasrc, name=name, opacity=opacity, stream=stream, uid=uid, uirevision=uirevision, visible=visible, x=x, xaxis=xaxis, xsrc=xsrc, y=y, yaxis=yaxis, ysrc=ysrc, zorder=zorder, **kwargs, ) return self.add_trace(new_trace, row=row, col=col, secondary_y=secondary_y) def add_choropleth( self, autocolorscale=None, coloraxis=None, colorbar=None, colorscale=None, customdata=None, customdatasrc=None, featureidkey=None, geo=None, geojson=None, hoverinfo=None, hoverinfosrc=None, hoverlabel=None, hovertemplate=None, hovertemplatesrc=None, hovertext=None, hovertextsrc=None, ids=None, idssrc=None, legend=None, legendgroup=None, legendgrouptitle=None, legendrank=None, legendwidth=None, locationmode=None, locations=None, locationssrc=None, marker=None, meta=None, metasrc=None, name=None, reversescale=None, selected=None, selectedpoints=None, showlegend=None, showscale=None, stream=None, text=None, textsrc=None, uid=None, uirevision=None, unselected=None, visible=None, z=None, zauto=None, zmax=None, zmid=None, zmin=None, zsrc=None, row=None, col=None, **kwargs, ) -> "FigureWidget": """ Add a new Choropleth trace The data that describes the choropleth value-to-color mapping is set in `z`. The geographic locations corresponding to each value in `z` are set in `locations`. Parameters ---------- autocolorscale Determines whether the colorscale is a default palette (`autocolorscale: true`) or the palette determined by `colorscale`. In case `colorscale` is unspecified or `autocolorscale` is true, the default palette will be chosen according to whether numbers in the `color` array are all positive, all negative or mixed. coloraxis Sets a reference to a shared color axis. References to these shared color axes are "coloraxis", "coloraxis2", "coloraxis3", etc. Settings for these shared color axes are set in the layout, under `layout.coloraxis`, `layout.coloraxis2`, etc. Note that multiple color scales can be linked to the same color axis. colorbar :class:`plotly.graph_objects.choropleth.ColorBar` instance or dict with compatible properties colorscale Sets the colorscale. The colorscale must be an array containing arrays mapping a normalized value to an rgb, rgba, hex, hsl, hsv, or named color string. At minimum, a mapping for the lowest (0) and highest (1) values are required. For example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the bounds of the colorscale in color space, use `zmin` and `zmax`. Alternatively, `colorscale` may be a palette name string of the following list: Blackbody,Bluered,Blues,C ividis,Earth,Electric,Greens,Greys,Hot,Jet,Picnic,Portl and,Rainbow,RdBu,Reds,Viridis,YlGnBu,YlOrRd. customdata Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, "scatter" traces also appends customdata items in the markers DOM elements customdatasrc Sets the source reference on Chart Studio Cloud for `customdata`. featureidkey Sets the key in GeoJSON features which is used as id to match the items included in the `locations` array. Only has an effect when `geojson` is set. Support nested property, for example "properties.name". geo Sets a reference between this trace's geospatial coordinates and a geographic map. If "geo" (the default value), the geospatial coordinates refer to `layout.geo`. If "geo2", the geospatial coordinates refer to `layout.geo2`, and so on. geojson Sets optional GeoJSON data associated with this trace. If not given, the features on the base map are used. It can be set as a valid GeoJSON object or as a URL string. Note that we only accept GeoJSONs of type "FeatureCollection" or "Feature" with geometries of type "Polygon" or "MultiPolygon". hoverinfo Determines which trace information appear on hover. If `none` or `skip` are set, no information is displayed upon hovering. But, if `none` is set, click and hover events are still fired. hoverinfosrc Sets the source reference on Chart Studio Cloud for `hoverinfo`. hoverlabel :class:`plotly.graph_objects.choropleth.Hoverlabel` instance or dict with compatible properties hovertemplate Template string used for rendering the information that appear on hover box. Note that this will override `hoverinfo`. Variables are inserted using %{variable}, for example "y: %{y}" as well as %{xother}, {%_xother}, {%_xother_}, {%xother_}. When showing info for several points, "xother" will be added to those with different x positions from the first point. An underscore before or after "(x|y)other" will add a space on that side, only when this field is shown. Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. The variables available in `hovertemplate` are the ones emitted as event data described at this link https://plotly.com/javascript/plotlyjs-events/#event- data. Additionally, every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. Anything contained in tag `` is displayed in the secondary box, for example "{fullData.name}". To hide the secondary box completely, use an empty tag ``. hovertemplatesrc Sets the source reference on Chart Studio Cloud for `hovertemplate`. hovertext Same as `text`. hovertextsrc Sets the source reference on Chart Studio Cloud for `hovertext`. ids Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type. idssrc Sets the source reference on Chart Studio Cloud for `ids`. legend Sets the reference to a legend to show this trace in. References to these legends are "legend", "legend2", "legend3", etc. Settings for these legends are set in the layout, under `layout.legend`, `layout.legend2`, etc. legendgroup Sets the legend group for this trace. Traces and shapes part of the same legend group hide/show at the same time when toggling legend items. legendgrouptitle :class:`plotly.graph_objects.choropleth.Legendgrouptitl e` instance or dict with compatible properties legendrank Sets the legend rank for this trace. Items and groups with smaller ranks are presented on top/left side while with "reversed" `legend.traceorder` they are on bottom/right side. The default legendrank is 1000, so that you can use ranks less than 1000 to place certain items before all unranked items, and ranks greater than 1000 to go after all unranked items. When having unranked or equal rank items shapes would be displayed after traces i.e. according to their order in data and layout. legendwidth Sets the width (in px or fraction) of the legend for this trace. locationmode Determines the set of locations used to match entries in `locations` to regions on the map. Values "ISO-3", "USA-states", *country names* correspond to features on the base map and value "geojson-id" corresponds to features from a custom GeoJSON linked to the `geojson` attribute. locations Sets the coordinates via location IDs or names. See `locationmode` for more info. locationssrc Sets the source reference on Chart Studio Cloud for `locations`. marker :class:`plotly.graph_objects.choropleth.Marker` instance or dict with compatible properties meta Assigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace `name`, graph, axis and colorbar `title.text`, annotation `text` `rangeselector`, `updatemenues` and `sliders` `label` text all support `meta`. To access the trace `meta` values in an attribute in the same trace, simply use `%{meta[i]}` where `i` is the index or key of the `meta` item in question. To access trace `meta` in layout attributes, use `%{data[n[.meta[i]}` where `i` is the index or key of the `meta` and `n` is the trace index. metasrc Sets the source reference on Chart Studio Cloud for `meta`. name Sets the trace name. The trace name appears as the legend item and on hover. reversescale Reverses the color mapping if true. If true, `zmin` will correspond to the last color in the array and `zmax` will correspond to the first color. selected :class:`plotly.graph_objects.choropleth.Selected` instance or dict with compatible properties selectedpoints Array containing integer indices of selected points. Has an effect only for traces that support selections. Note that an empty array means an empty selection where the `unselected` are turned on for all points, whereas, any other non-array values means no selection all where the `selected` and `unselected` styles have no effect. showlegend Determines whether or not an item corresponding to this trace is shown in the legend. showscale Determines whether or not a colorbar is displayed for this trace. stream :class:`plotly.graph_objects.choropleth.Stream` instance or dict with compatible properties text Sets the text elements associated with each location. textsrc Sets the source reference on Chart Studio Cloud for `text`. uid Assign an id to this trace, Use this to provide object constancy between traces during animations and transitions. uirevision Controls persistence of some user-driven changes to the trace: `constraintrange` in `parcoords` traces, as well as some `editable: true` modifications such as `name` and `colorbar.title`. Defaults to `layout.uirevision`. Note that other user-driven trace attribute changes are controlled by `layout` attributes: `trace.visible` is controlled by `layout.legend.uirevision`, `selectedpoints` is controlled by `layout.selectionrevision`, and `colorbar.(x|y)` (accessible with `config: {editable: true}`) is controlled by `layout.editrevision`. Trace changes are tracked by `uid`, which only falls back on trace index if no `uid` is provided. So if your app can add/remove traces before the end of the `data` array, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace a `uid` that stays with it as it moves. unselected :class:`plotly.graph_objects.choropleth.Unselected` instance or dict with compatible properties visible Determines whether or not this trace is visible. If "legendonly", the trace is not drawn, but can appear as a legend item (provided that the legend itself is visible). z Sets the color values. zauto Determines whether or not the color domain is computed with respect to the input data (here in `z`) or the bounds set in `zmin` and `zmax` Defaults to `false` when `zmin` and `zmax` are set by the user. zmax Sets the upper bound of the color domain. Value should have the same units as in `z` and if set, `zmin` must be set as well. zmid Sets the mid-point of the color domain by scaling `zmin` and/or `zmax` to be equidistant to this point. Value should have the same units as in `z`. Has no effect when `zauto` is `false`. zmin Sets the lower bound of the color domain. Value should have the same units as in `z` and if set, `zmax` must be set as well. zsrc Sets the source reference on Chart Studio Cloud for `z`. row : 'all', int or None (default) Subplot row index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all rows in the specified column(s). col : 'all', int or None (default) Subplot col index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all columns in the specified row(s). Returns ------- FigureWidget """ from plotly.graph_objs import Choropleth new_trace = Choropleth( autocolorscale=autocolorscale, coloraxis=coloraxis, colorbar=colorbar, colorscale=colorscale, customdata=customdata, customdatasrc=customdatasrc, featureidkey=featureidkey, geo=geo, geojson=geojson, hoverinfo=hoverinfo, hoverinfosrc=hoverinfosrc, hoverlabel=hoverlabel, hovertemplate=hovertemplate, hovertemplatesrc=hovertemplatesrc, hovertext=hovertext, hovertextsrc=hovertextsrc, ids=ids, idssrc=idssrc, legend=legend, legendgroup=legendgroup, legendgrouptitle=legendgrouptitle, legendrank=legendrank, legendwidth=legendwidth, locationmode=locationmode, locations=locations, locationssrc=locationssrc, marker=marker, meta=meta, metasrc=metasrc, name=name, reversescale=reversescale, selected=selected, selectedpoints=selectedpoints, showlegend=showlegend, showscale=showscale, stream=stream, text=text, textsrc=textsrc, uid=uid, uirevision=uirevision, unselected=unselected, visible=visible, z=z, zauto=zauto, zmax=zmax, zmid=zmid, zmin=zmin, zsrc=zsrc, **kwargs, ) return self.add_trace(new_trace, row=row, col=col) def add_choroplethmap( self, autocolorscale=None, below=None, coloraxis=None, colorbar=None, colorscale=None, customdata=None, customdatasrc=None, featureidkey=None, geojson=None, hoverinfo=None, hoverinfosrc=None, hoverlabel=None, hovertemplate=None, hovertemplatesrc=None, hovertext=None, hovertextsrc=None, ids=None, idssrc=None, legend=None, legendgroup=None, legendgrouptitle=None, legendrank=None, legendwidth=None, locations=None, locationssrc=None, marker=None, meta=None, metasrc=None, name=None, reversescale=None, selected=None, selectedpoints=None, showlegend=None, showscale=None, stream=None, subplot=None, text=None, textsrc=None, uid=None, uirevision=None, unselected=None, visible=None, z=None, zauto=None, zmax=None, zmid=None, zmin=None, zsrc=None, row=None, col=None, **kwargs, ) -> "FigureWidget": """ Add a new Choroplethmap trace GeoJSON features to be filled are set in `geojson` The data that describes the choropleth value-to-color mapping is set in `locations` and `z`. Parameters ---------- autocolorscale Determines whether the colorscale is a default palette (`autocolorscale: true`) or the palette determined by `colorscale`. In case `colorscale` is unspecified or `autocolorscale` is true, the default palette will be chosen according to whether numbers in the `color` array are all positive, all negative or mixed. below Determines if the choropleth polygons will be inserted before the layer with the specified ID. By default, choroplethmap traces are placed above the water layers. If set to '', the layer will be inserted above every existing layer. coloraxis Sets a reference to a shared color axis. References to these shared color axes are "coloraxis", "coloraxis2", "coloraxis3", etc. Settings for these shared color axes are set in the layout, under `layout.coloraxis`, `layout.coloraxis2`, etc. Note that multiple color scales can be linked to the same color axis. colorbar :class:`plotly.graph_objects.choroplethmap.ColorBar` instance or dict with compatible properties colorscale Sets the colorscale. The colorscale must be an array containing arrays mapping a normalized value to an rgb, rgba, hex, hsl, hsv, or named color string. At minimum, a mapping for the lowest (0) and highest (1) values are required. For example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the bounds of the colorscale in color space, use `zmin` and `zmax`. Alternatively, `colorscale` may be a palette name string of the following list: Blackbody,Bluered,Blues,C ividis,Earth,Electric,Greens,Greys,Hot,Jet,Picnic,Portl and,Rainbow,RdBu,Reds,Viridis,YlGnBu,YlOrRd. customdata Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, "scatter" traces also appends customdata items in the markers DOM elements customdatasrc Sets the source reference on Chart Studio Cloud for `customdata`. featureidkey Sets the key in GeoJSON features which is used as id to match the items included in the `locations` array. Support nested property, for example "properties.name". geojson Sets the GeoJSON data associated with this trace. It can be set as a valid GeoJSON object or as a URL string. Note that we only accept GeoJSONs of type "FeatureCollection" or "Feature" with geometries of type "Polygon" or "MultiPolygon". hoverinfo Determines which trace information appear on hover. If `none` or `skip` are set, no information is displayed upon hovering. But, if `none` is set, click and hover events are still fired. hoverinfosrc Sets the source reference on Chart Studio Cloud for `hoverinfo`. hoverlabel :class:`plotly.graph_objects.choroplethmap.Hoverlabel` instance or dict with compatible properties hovertemplate Template string used for rendering the information that appear on hover box. Note that this will override `hoverinfo`. Variables are inserted using %{variable}, for example "y: %{y}" as well as %{xother}, {%_xother}, {%_xother_}, {%xother_}. When showing info for several points, "xother" will be added to those with different x positions from the first point. An underscore before or after "(x|y)other" will add a space on that side, only when this field is shown. Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. The variables available in `hovertemplate` are the ones emitted as event data described at this link https://plotly.com/javascript/plotlyjs-events/#event- data. Additionally, every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. Finally, the template string has access to variable `properties` Anything contained in tag `` is displayed in the secondary box, for example "{fullData.name}". To hide the secondary box completely, use an empty tag ``. hovertemplatesrc Sets the source reference on Chart Studio Cloud for `hovertemplate`. hovertext Same as `text`. hovertextsrc Sets the source reference on Chart Studio Cloud for `hovertext`. ids Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type. idssrc Sets the source reference on Chart Studio Cloud for `ids`. legend Sets the reference to a legend to show this trace in. References to these legends are "legend", "legend2", "legend3", etc. Settings for these legends are set in the layout, under `layout.legend`, `layout.legend2`, etc. legendgroup Sets the legend group for this trace. Traces and shapes part of the same legend group hide/show at the same time when toggling legend items. legendgrouptitle :class:`plotly.graph_objects.choroplethmap.Legendgroupt itle` instance or dict with compatible properties legendrank Sets the legend rank for this trace. Items and groups with smaller ranks are presented on top/left side while with "reversed" `legend.traceorder` they are on bottom/right side. The default legendrank is 1000, so that you can use ranks less than 1000 to place certain items before all unranked items, and ranks greater than 1000 to go after all unranked items. When having unranked or equal rank items shapes would be displayed after traces i.e. according to their order in data and layout. legendwidth Sets the width (in px or fraction) of the legend for this trace. locations Sets which features found in "geojson" to plot using their feature `id` field. locationssrc Sets the source reference on Chart Studio Cloud for `locations`. marker :class:`plotly.graph_objects.choroplethmap.Marker` instance or dict with compatible properties meta Assigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace `name`, graph, axis and colorbar `title.text`, annotation `text` `rangeselector`, `updatemenues` and `sliders` `label` text all support `meta`. To access the trace `meta` values in an attribute in the same trace, simply use `%{meta[i]}` where `i` is the index or key of the `meta` item in question. To access trace `meta` in layout attributes, use `%{data[n[.meta[i]}` where `i` is the index or key of the `meta` and `n` is the trace index. metasrc Sets the source reference on Chart Studio Cloud for `meta`. name Sets the trace name. The trace name appears as the legend item and on hover. reversescale Reverses the color mapping if true. If true, `zmin` will correspond to the last color in the array and `zmax` will correspond to the first color. selected :class:`plotly.graph_objects.choroplethmap.Selected` instance or dict with compatible properties selectedpoints Array containing integer indices of selected points. Has an effect only for traces that support selections. Note that an empty array means an empty selection where the `unselected` are turned on for all points, whereas, any other non-array values means no selection all where the `selected` and `unselected` styles have no effect. showlegend Determines whether or not an item corresponding to this trace is shown in the legend. showscale Determines whether or not a colorbar is displayed for this trace. stream :class:`plotly.graph_objects.choroplethmap.Stream` instance or dict with compatible properties subplot Sets a reference between this trace's data coordinates and a map subplot. If "map" (the default value), the data refer to `layout.map`. If "map2", the data refer to `layout.map2`, and so on. text Sets the text elements associated with each location. textsrc Sets the source reference on Chart Studio Cloud for `text`. uid Assign an id to this trace, Use this to provide object constancy between traces during animations and transitions. uirevision Controls persistence of some user-driven changes to the trace: `constraintrange` in `parcoords` traces, as well as some `editable: true` modifications such as `name` and `colorbar.title`. Defaults to `layout.uirevision`. Note that other user-driven trace attribute changes are controlled by `layout` attributes: `trace.visible` is controlled by `layout.legend.uirevision`, `selectedpoints` is controlled by `layout.selectionrevision`, and `colorbar.(x|y)` (accessible with `config: {editable: true}`) is controlled by `layout.editrevision`. Trace changes are tracked by `uid`, which only falls back on trace index if no `uid` is provided. So if your app can add/remove traces before the end of the `data` array, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace a `uid` that stays with it as it moves. unselected :class:`plotly.graph_objects.choroplethmap.Unselected` instance or dict with compatible properties visible Determines whether or not this trace is visible. If "legendonly", the trace is not drawn, but can appear as a legend item (provided that the legend itself is visible). z Sets the color values. zauto Determines whether or not the color domain is computed with respect to the input data (here in `z`) or the bounds set in `zmin` and `zmax` Defaults to `false` when `zmin` and `zmax` are set by the user. zmax Sets the upper bound of the color domain. Value should have the same units as in `z` and if set, `zmin` must be set as well. zmid Sets the mid-point of the color domain by scaling `zmin` and/or `zmax` to be equidistant to this point. Value should have the same units as in `z`. Has no effect when `zauto` is `false`. zmin Sets the lower bound of the color domain. Value should have the same units as in `z` and if set, `zmax` must be set as well. zsrc Sets the source reference on Chart Studio Cloud for `z`. row : 'all', int or None (default) Subplot row index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all rows in the specified column(s). col : 'all', int or None (default) Subplot col index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all columns in the specified row(s). Returns ------- FigureWidget """ from plotly.graph_objs import Choroplethmap new_trace = Choroplethmap( autocolorscale=autocolorscale, below=below, coloraxis=coloraxis, colorbar=colorbar, colorscale=colorscale, customdata=customdata, customdatasrc=customdatasrc, featureidkey=featureidkey, geojson=geojson, hoverinfo=hoverinfo, hoverinfosrc=hoverinfosrc, hoverlabel=hoverlabel, hovertemplate=hovertemplate, hovertemplatesrc=hovertemplatesrc, hovertext=hovertext, hovertextsrc=hovertextsrc, ids=ids, idssrc=idssrc, legend=legend, legendgroup=legendgroup, legendgrouptitle=legendgrouptitle, legendrank=legendrank, legendwidth=legendwidth, locations=locations, locationssrc=locationssrc, marker=marker, meta=meta, metasrc=metasrc, name=name, reversescale=reversescale, selected=selected, selectedpoints=selectedpoints, showlegend=showlegend, showscale=showscale, stream=stream, subplot=subplot, text=text, textsrc=textsrc, uid=uid, uirevision=uirevision, unselected=unselected, visible=visible, z=z, zauto=zauto, zmax=zmax, zmid=zmid, zmin=zmin, zsrc=zsrc, **kwargs, ) return self.add_trace(new_trace, row=row, col=col) def add_choroplethmapbox( self, autocolorscale=None, below=None, coloraxis=None, colorbar=None, colorscale=None, customdata=None, customdatasrc=None, featureidkey=None, geojson=None, hoverinfo=None, hoverinfosrc=None, hoverlabel=None, hovertemplate=None, hovertemplatesrc=None, hovertext=None, hovertextsrc=None, ids=None, idssrc=None, legend=None, legendgroup=None, legendgrouptitle=None, legendrank=None, legendwidth=None, locations=None, locationssrc=None, marker=None, meta=None, metasrc=None, name=None, reversescale=None, selected=None, selectedpoints=None, showlegend=None, showscale=None, stream=None, subplot=None, text=None, textsrc=None, uid=None, uirevision=None, unselected=None, visible=None, z=None, zauto=None, zmax=None, zmid=None, zmin=None, zsrc=None, row=None, col=None, **kwargs, ) -> "FigureWidget": """ Add a new Choroplethmapbox trace "choroplethmapbox" trace is deprecated! Please consider switching to the "choroplethmap" trace type and `map` subplots. Learn more at: https://plotly.com/python/maplibre-migration/ as well as https://plotly.com/javascript/maplibre-migration/ GeoJSON features to be filled are set in `geojson` The data that describes the choropleth value-to-color mapping is set in `locations` and `z`. Parameters ---------- autocolorscale Determines whether the colorscale is a default palette (`autocolorscale: true`) or the palette determined by `colorscale`. In case `colorscale` is unspecified or `autocolorscale` is true, the default palette will be chosen according to whether numbers in the `color` array are all positive, all negative or mixed. below Determines if the choropleth polygons will be inserted before the layer with the specified ID. By default, choroplethmapbox traces are placed above the water layers. If set to '', the layer will be inserted above every existing layer. coloraxis Sets a reference to a shared color axis. References to these shared color axes are "coloraxis", "coloraxis2", "coloraxis3", etc. Settings for these shared color axes are set in the layout, under `layout.coloraxis`, `layout.coloraxis2`, etc. Note that multiple color scales can be linked to the same color axis. colorbar :class:`plotly.graph_objects.choroplethmapbox.ColorBar` instance or dict with compatible properties colorscale Sets the colorscale. The colorscale must be an array containing arrays mapping a normalized value to an rgb, rgba, hex, hsl, hsv, or named color string. At minimum, a mapping for the lowest (0) and highest (1) values are required. For example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the bounds of the colorscale in color space, use `zmin` and `zmax`. Alternatively, `colorscale` may be a palette name string of the following list: Blackbody,Bluered,Blues,C ividis,Earth,Electric,Greens,Greys,Hot,Jet,Picnic,Portl and,Rainbow,RdBu,Reds,Viridis,YlGnBu,YlOrRd. customdata Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, "scatter" traces also appends customdata items in the markers DOM elements customdatasrc Sets the source reference on Chart Studio Cloud for `customdata`. featureidkey Sets the key in GeoJSON features which is used as id to match the items included in the `locations` array. Support nested property, for example "properties.name". geojson Sets the GeoJSON data associated with this trace. It can be set as a valid GeoJSON object or as a URL string. Note that we only accept GeoJSONs of type "FeatureCollection" or "Feature" with geometries of type "Polygon" or "MultiPolygon". hoverinfo Determines which trace information appear on hover. If `none` or `skip` are set, no information is displayed upon hovering. But, if `none` is set, click and hover events are still fired. hoverinfosrc Sets the source reference on Chart Studio Cloud for `hoverinfo`. hoverlabel :class:`plotly.graph_objects.choroplethmapbox.Hoverlabe l` instance or dict with compatible properties hovertemplate Template string used for rendering the information that appear on hover box. Note that this will override `hoverinfo`. Variables are inserted using %{variable}, for example "y: %{y}" as well as %{xother}, {%_xother}, {%_xother_}, {%xother_}. When showing info for several points, "xother" will be added to those with different x positions from the first point. An underscore before or after "(x|y)other" will add a space on that side, only when this field is shown. Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. The variables available in `hovertemplate` are the ones emitted as event data described at this link https://plotly.com/javascript/plotlyjs-events/#event- data. Additionally, every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. Finally, the template string has access to variable `properties` Anything contained in tag `` is displayed in the secondary box, for example "{fullData.name}". To hide the secondary box completely, use an empty tag ``. hovertemplatesrc Sets the source reference on Chart Studio Cloud for `hovertemplate`. hovertext Same as `text`. hovertextsrc Sets the source reference on Chart Studio Cloud for `hovertext`. ids Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type. idssrc Sets the source reference on Chart Studio Cloud for `ids`. legend Sets the reference to a legend to show this trace in. References to these legends are "legend", "legend2", "legend3", etc. Settings for these legends are set in the layout, under `layout.legend`, `layout.legend2`, etc. legendgroup Sets the legend group for this trace. Traces and shapes part of the same legend group hide/show at the same time when toggling legend items. legendgrouptitle :class:`plotly.graph_objects.choroplethmapbox.Legendgro uptitle` instance or dict with compatible properties legendrank Sets the legend rank for this trace. Items and groups with smaller ranks are presented on top/left side while with "reversed" `legend.traceorder` they are on bottom/right side. The default legendrank is 1000, so that you can use ranks less than 1000 to place certain items before all unranked items, and ranks greater than 1000 to go after all unranked items. When having unranked or equal rank items shapes would be displayed after traces i.e. according to their order in data and layout. legendwidth Sets the width (in px or fraction) of the legend for this trace. locations Sets which features found in "geojson" to plot using their feature `id` field. locationssrc Sets the source reference on Chart Studio Cloud for `locations`. marker :class:`plotly.graph_objects.choroplethmapbox.Marker` instance or dict with compatible properties meta Assigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace `name`, graph, axis and colorbar `title.text`, annotation `text` `rangeselector`, `updatemenues` and `sliders` `label` text all support `meta`. To access the trace `meta` values in an attribute in the same trace, simply use `%{meta[i]}` where `i` is the index or key of the `meta` item in question. To access trace `meta` in layout attributes, use `%{data[n[.meta[i]}` where `i` is the index or key of the `meta` and `n` is the trace index. metasrc Sets the source reference on Chart Studio Cloud for `meta`. name Sets the trace name. The trace name appears as the legend item and on hover. reversescale Reverses the color mapping if true. If true, `zmin` will correspond to the last color in the array and `zmax` will correspond to the first color. selected :class:`plotly.graph_objects.choroplethmapbox.Selected` instance or dict with compatible properties selectedpoints Array containing integer indices of selected points. Has an effect only for traces that support selections. Note that an empty array means an empty selection where the `unselected` are turned on for all points, whereas, any other non-array values means no selection all where the `selected` and `unselected` styles have no effect. showlegend Determines whether or not an item corresponding to this trace is shown in the legend. showscale Determines whether or not a colorbar is displayed for this trace. stream :class:`plotly.graph_objects.choroplethmapbox.Stream` instance or dict with compatible properties subplot mapbox subplots and traces are deprecated! Please consider switching to `map` subplots and traces. Learn more at: https://plotly.com/python/maplibre-migration/ as well as https://plotly.com/javascript/maplibre- migration/ Sets a reference between this trace's data coordinates and a mapbox subplot. If "mapbox" (the default value), the data refer to `layout.mapbox`. If "mapbox2", the data refer to `layout.mapbox2`, and so on. text Sets the text elements associated with each location. textsrc Sets the source reference on Chart Studio Cloud for `text`. uid Assign an id to this trace, Use this to provide object constancy between traces during animations and transitions. uirevision Controls persistence of some user-driven changes to the trace: `constraintrange` in `parcoords` traces, as well as some `editable: true` modifications such as `name` and `colorbar.title`. Defaults to `layout.uirevision`. Note that other user-driven trace attribute changes are controlled by `layout` attributes: `trace.visible` is controlled by `layout.legend.uirevision`, `selectedpoints` is controlled by `layout.selectionrevision`, and `colorbar.(x|y)` (accessible with `config: {editable: true}`) is controlled by `layout.editrevision`. Trace changes are tracked by `uid`, which only falls back on trace index if no `uid` is provided. So if your app can add/remove traces before the end of the `data` array, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace a `uid` that stays with it as it moves. unselected :class:`plotly.graph_objects.choroplethmapbox.Unselecte d` instance or dict with compatible properties visible Determines whether or not this trace is visible. If "legendonly", the trace is not drawn, but can appear as a legend item (provided that the legend itself is visible). z Sets the color values. zauto Determines whether or not the color domain is computed with respect to the input data (here in `z`) or the bounds set in `zmin` and `zmax` Defaults to `false` when `zmin` and `zmax` are set by the user. zmax Sets the upper bound of the color domain. Value should have the same units as in `z` and if set, `zmin` must be set as well. zmid Sets the mid-point of the color domain by scaling `zmin` and/or `zmax` to be equidistant to this point. Value should have the same units as in `z`. Has no effect when `zauto` is `false`. zmin Sets the lower bound of the color domain. Value should have the same units as in `z` and if set, `zmax` must be set as well. zsrc Sets the source reference on Chart Studio Cloud for `z`. row : 'all', int or None (default) Subplot row index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all rows in the specified column(s). col : 'all', int or None (default) Subplot col index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all columns in the specified row(s). Returns ------- FigureWidget """ from plotly.graph_objs import Choroplethmapbox new_trace = Choroplethmapbox( autocolorscale=autocolorscale, below=below, coloraxis=coloraxis, colorbar=colorbar, colorscale=colorscale, customdata=customdata, customdatasrc=customdatasrc, featureidkey=featureidkey, geojson=geojson, hoverinfo=hoverinfo, hoverinfosrc=hoverinfosrc, hoverlabel=hoverlabel, hovertemplate=hovertemplate, hovertemplatesrc=hovertemplatesrc, hovertext=hovertext, hovertextsrc=hovertextsrc, ids=ids, idssrc=idssrc, legend=legend, legendgroup=legendgroup, legendgrouptitle=legendgrouptitle, legendrank=legendrank, legendwidth=legendwidth, locations=locations, locationssrc=locationssrc, marker=marker, meta=meta, metasrc=metasrc, name=name, reversescale=reversescale, selected=selected, selectedpoints=selectedpoints, showlegend=showlegend, showscale=showscale, stream=stream, subplot=subplot, text=text, textsrc=textsrc, uid=uid, uirevision=uirevision, unselected=unselected, visible=visible, z=z, zauto=zauto, zmax=zmax, zmid=zmid, zmin=zmin, zsrc=zsrc, **kwargs, ) return self.add_trace(new_trace, row=row, col=col) def add_cone( self, anchor=None, autocolorscale=None, cauto=None, cmax=None, cmid=None, cmin=None, coloraxis=None, colorbar=None, colorscale=None, customdata=None, customdatasrc=None, hoverinfo=None, hoverinfosrc=None, hoverlabel=None, hovertemplate=None, hovertemplatesrc=None, hovertext=None, hovertextsrc=None, ids=None, idssrc=None, legend=None, legendgroup=None, legendgrouptitle=None, legendrank=None, legendwidth=None, lighting=None, lightposition=None, meta=None, metasrc=None, name=None, opacity=None, reversescale=None, scene=None, showlegend=None, showscale=None, sizemode=None, sizeref=None, stream=None, text=None, textsrc=None, u=None, uhoverformat=None, uid=None, uirevision=None, usrc=None, v=None, vhoverformat=None, visible=None, vsrc=None, w=None, whoverformat=None, wsrc=None, x=None, xhoverformat=None, xsrc=None, y=None, yhoverformat=None, ysrc=None, z=None, zhoverformat=None, zsrc=None, row=None, col=None, **kwargs, ) -> "FigureWidget": """ Add a new Cone trace Use cone traces to visualize vector fields. Specify a vector field using 6 1D arrays, 3 position arrays `x`, `y` and `z` and 3 vector component arrays `u`, `v`, `w`. The cones are drawn exactly at the positions given by `x`, `y` and `z`. Parameters ---------- anchor Sets the cones' anchor with respect to their x/y/z positions. Note that "cm" denote the cone's center of mass which corresponds to 1/4 from the tail to tip. autocolorscale Determines whether the colorscale is a default palette (`autocolorscale: true`) or the palette determined by `colorscale`. In case `colorscale` is unspecified or `autocolorscale` is true, the default palette will be chosen according to whether numbers in the `color` array are all positive, all negative or mixed. cauto Determines whether or not the color domain is computed with respect to the input data (here u/v/w norm) or the bounds set in `cmin` and `cmax` Defaults to `false` when `cmin` and `cmax` are set by the user. cmax Sets the upper bound of the color domain. Value should have the same units as u/v/w norm and if set, `cmin` must be set as well. cmid Sets the mid-point of the color domain by scaling `cmin` and/or `cmax` to be equidistant to this point. Value should have the same units as u/v/w norm. Has no effect when `cauto` is `false`. cmin Sets the lower bound of the color domain. Value should have the same units as u/v/w norm and if set, `cmax` must be set as well. coloraxis Sets a reference to a shared color axis. References to these shared color axes are "coloraxis", "coloraxis2", "coloraxis3", etc. Settings for these shared color axes are set in the layout, under `layout.coloraxis`, `layout.coloraxis2`, etc. Note that multiple color scales can be linked to the same color axis. colorbar :class:`plotly.graph_objects.cone.ColorBar` instance or dict with compatible properties colorscale Sets the colorscale. The colorscale must be an array containing arrays mapping a normalized value to an rgb, rgba, hex, hsl, hsv, or named color string. At minimum, a mapping for the lowest (0) and highest (1) values are required. For example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the bounds of the colorscale in color space, use `cmin` and `cmax`. Alternatively, `colorscale` may be a palette name string of the following list: Blackbody,Bluered,Blues,C ividis,Earth,Electric,Greens,Greys,Hot,Jet,Picnic,Portl and,Rainbow,RdBu,Reds,Viridis,YlGnBu,YlOrRd. customdata Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, "scatter" traces also appends customdata items in the markers DOM elements customdatasrc Sets the source reference on Chart Studio Cloud for `customdata`. hoverinfo Determines which trace information appear on hover. If `none` or `skip` are set, no information is displayed upon hovering. But, if `none` is set, click and hover events are still fired. hoverinfosrc Sets the source reference on Chart Studio Cloud for `hoverinfo`. hoverlabel :class:`plotly.graph_objects.cone.Hoverlabel` instance or dict with compatible properties hovertemplate Template string used for rendering the information that appear on hover box. Note that this will override `hoverinfo`. Variables are inserted using %{variable}, for example "y: %{y}" as well as %{xother}, {%_xother}, {%_xother_}, {%xother_}. When showing info for several points, "xother" will be added to those with different x positions from the first point. An underscore before or after "(x|y)other" will add a space on that side, only when this field is shown. Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. The variables available in `hovertemplate` are the ones emitted as event data described at this link https://plotly.com/javascript/plotlyjs-events/#event- data. Additionally, every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. Finally, the template string has access to variable `norm` Anything contained in tag `` is displayed in the secondary box, for example "{fullData.name}". To hide the secondary box completely, use an empty tag ``. hovertemplatesrc Sets the source reference on Chart Studio Cloud for `hovertemplate`. hovertext Same as `text`. hovertextsrc Sets the source reference on Chart Studio Cloud for `hovertext`. ids Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type. idssrc Sets the source reference on Chart Studio Cloud for `ids`. legend Sets the reference to a legend to show this trace in. References to these legends are "legend", "legend2", "legend3", etc. Settings for these legends are set in the layout, under `layout.legend`, `layout.legend2`, etc. legendgroup Sets the legend group for this trace. Traces and shapes part of the same legend group hide/show at the same time when toggling legend items. legendgrouptitle :class:`plotly.graph_objects.cone.Legendgrouptitle` instance or dict with compatible properties legendrank Sets the legend rank for this trace. Items and groups with smaller ranks are presented on top/left side while with "reversed" `legend.traceorder` they are on bottom/right side. The default legendrank is 1000, so that you can use ranks less than 1000 to place certain items before all unranked items, and ranks greater than 1000 to go after all unranked items. When having unranked or equal rank items shapes would be displayed after traces i.e. according to their order in data and layout. legendwidth Sets the width (in px or fraction) of the legend for this trace. lighting :class:`plotly.graph_objects.cone.Lighting` instance or dict with compatible properties lightposition :class:`plotly.graph_objects.cone.Lightposition` instance or dict with compatible properties meta Assigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace `name`, graph, axis and colorbar `title.text`, annotation `text` `rangeselector`, `updatemenues` and `sliders` `label` text all support `meta`. To access the trace `meta` values in an attribute in the same trace, simply use `%{meta[i]}` where `i` is the index or key of the `meta` item in question. To access trace `meta` in layout attributes, use `%{data[n[.meta[i]}` where `i` is the index or key of the `meta` and `n` is the trace index. metasrc Sets the source reference on Chart Studio Cloud for `meta`. name Sets the trace name. The trace name appears as the legend item and on hover. opacity Sets the opacity of the surface. Please note that in the case of using high `opacity` values for example a value greater than or equal to 0.5 on two surfaces (and 0.25 with four surfaces), an overlay of multiple transparent surfaces may not perfectly be sorted in depth by the webgl API. This behavior may be improved in the near future and is subject to change. reversescale Reverses the color mapping if true. If true, `cmin` will correspond to the last color in the array and `cmax` will correspond to the first color. scene Sets a reference between this trace's 3D coordinate system and a 3D scene. If "scene" (the default value), the (x,y,z) coordinates refer to `layout.scene`. If "scene2", the (x,y,z) coordinates refer to `layout.scene2`, and so on. showlegend Determines whether or not an item corresponding to this trace is shown in the legend. showscale Determines whether or not a colorbar is displayed for this trace. sizemode Determines whether `sizeref` is set as a "scaled" (i.e unitless) scalar (normalized by the max u/v/w norm in the vector field) or as "absolute" value (in the same units as the vector field). To display sizes in actual vector length use "raw". sizeref Adjusts the cone size scaling. The size of the cones is determined by their u/v/w norm multiplied a factor and `sizeref`. This factor (computed internally) corresponds to the minimum "time" to travel across two successive x/y/z positions at the average velocity of those two successive positions. All cones in a given trace use the same factor. With `sizemode` set to "raw", its default value is 1. With `sizemode` set to "scaled", `sizeref` is unitless, its default value is 0.5. With `sizemode` set to "absolute", `sizeref` has the same units as the u/v/w vector field, its the default value is half the sample's maximum vector norm. stream :class:`plotly.graph_objects.cone.Stream` instance or dict with compatible properties text Sets the text elements associated with the cones. If trace `hoverinfo` contains a "text" flag and "hovertext" is not set, these elements will be seen in the hover labels. textsrc Sets the source reference on Chart Studio Cloud for `text`. u Sets the x components of the vector field. uhoverformat Sets the hover text formatting rulefor `u` using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d 3/d3-format/tree/v1.4.5#d3-format.By default the values are formatted using generic number format. uid Assign an id to this trace, Use this to provide object constancy between traces during animations and transitions. uirevision Controls persistence of some user-driven changes to the trace: `constraintrange` in `parcoords` traces, as well as some `editable: true` modifications such as `name` and `colorbar.title`. Defaults to `layout.uirevision`. Note that other user-driven trace attribute changes are controlled by `layout` attributes: `trace.visible` is controlled by `layout.legend.uirevision`, `selectedpoints` is controlled by `layout.selectionrevision`, and `colorbar.(x|y)` (accessible with `config: {editable: true}`) is controlled by `layout.editrevision`. Trace changes are tracked by `uid`, which only falls back on trace index if no `uid` is provided. So if your app can add/remove traces before the end of the `data` array, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace a `uid` that stays with it as it moves. usrc Sets the source reference on Chart Studio Cloud for `u`. v Sets the y components of the vector field. vhoverformat Sets the hover text formatting rulefor `v` using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d 3/d3-format/tree/v1.4.5#d3-format.By default the values are formatted using generic number format. visible Determines whether or not this trace is visible. If "legendonly", the trace is not drawn, but can appear as a legend item (provided that the legend itself is visible). vsrc Sets the source reference on Chart Studio Cloud for `v`. w Sets the z components of the vector field. whoverformat Sets the hover text formatting rulefor `w` using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d 3/d3-format/tree/v1.4.5#d3-format.By default the values are formatted using generic number format. wsrc Sets the source reference on Chart Studio Cloud for `w`. x Sets the x coordinates of the vector field and of the displayed cones. xhoverformat Sets the hover text formatting rulefor `x` using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-format/tree/v1.4.5#d3-format. And for dates see: https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format. We add two items to d3's date formatter: "%h" for half of the year as a decimal number as well as "%{n}f" for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat "%H~%M~%S.%2f" would display *09~15~23.46*By default the values are formatted using `xaxis.hoverformat`. xsrc Sets the source reference on Chart Studio Cloud for `x`. y Sets the y coordinates of the vector field and of the displayed cones. yhoverformat Sets the hover text formatting rulefor `y` using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-format/tree/v1.4.5#d3-format. And for dates see: https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format. We add two items to d3's date formatter: "%h" for half of the year as a decimal number as well as "%{n}f" for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat "%H~%M~%S.%2f" would display *09~15~23.46*By default the values are formatted using `yaxis.hoverformat`. ysrc Sets the source reference on Chart Studio Cloud for `y`. z Sets the z coordinates of the vector field and of the displayed cones. zhoverformat Sets the hover text formatting rulefor `z` using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-format/tree/v1.4.5#d3-format. And for dates see: https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format. We add two items to d3's date formatter: "%h" for half of the year as a decimal number as well as "%{n}f" for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat "%H~%M~%S.%2f" would display *09~15~23.46*By default the values are formatted using `zaxis.hoverformat`. zsrc Sets the source reference on Chart Studio Cloud for `z`. row : 'all', int or None (default) Subplot row index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all rows in the specified column(s). col : 'all', int or None (default) Subplot col index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all columns in the specified row(s). Returns ------- FigureWidget """ from plotly.graph_objs import Cone new_trace = Cone( anchor=anchor, autocolorscale=autocolorscale, cauto=cauto, cmax=cmax, cmid=cmid, cmin=cmin, coloraxis=coloraxis, colorbar=colorbar, colorscale=colorscale, customdata=customdata, customdatasrc=customdatasrc, hoverinfo=hoverinfo, hoverinfosrc=hoverinfosrc, hoverlabel=hoverlabel, hovertemplate=hovertemplate, hovertemplatesrc=hovertemplatesrc, hovertext=hovertext, hovertextsrc=hovertextsrc, ids=ids, idssrc=idssrc, legend=legend, legendgroup=legendgroup, legendgrouptitle=legendgrouptitle, legendrank=legendrank, legendwidth=legendwidth, lighting=lighting, lightposition=lightposition, meta=meta, metasrc=metasrc, name=name, opacity=opacity, reversescale=reversescale, scene=scene, showlegend=showlegend, showscale=showscale, sizemode=sizemode, sizeref=sizeref, stream=stream, text=text, textsrc=textsrc, u=u, uhoverformat=uhoverformat, uid=uid, uirevision=uirevision, usrc=usrc, v=v, vhoverformat=vhoverformat, visible=visible, vsrc=vsrc, w=w, whoverformat=whoverformat, wsrc=wsrc, x=x, xhoverformat=xhoverformat, xsrc=xsrc, y=y, yhoverformat=yhoverformat, ysrc=ysrc, z=z, zhoverformat=zhoverformat, zsrc=zsrc, **kwargs, ) return self.add_trace(new_trace, row=row, col=col) def add_contour( self, autocolorscale=None, autocontour=None, coloraxis=None, colorbar=None, colorscale=None, connectgaps=None, contours=None, customdata=None, customdatasrc=None, dx=None, dy=None, fillcolor=None, hoverinfo=None, hoverinfosrc=None, hoverlabel=None, hoverongaps=None, hovertemplate=None, hovertemplatesrc=None, hovertext=None, hovertextsrc=None, ids=None, idssrc=None, legend=None, legendgroup=None, legendgrouptitle=None, legendrank=None, legendwidth=None, line=None, meta=None, metasrc=None, name=None, ncontours=None, opacity=None, reversescale=None, showlegend=None, showscale=None, stream=None, text=None, textfont=None, textsrc=None, texttemplate=None, transpose=None, uid=None, uirevision=None, visible=None, x=None, x0=None, xaxis=None, xcalendar=None, xhoverformat=None, xperiod=None, xperiod0=None, xperiodalignment=None, xsrc=None, xtype=None, y=None, y0=None, yaxis=None, ycalendar=None, yhoverformat=None, yperiod=None, yperiod0=None, yperiodalignment=None, ysrc=None, ytype=None, z=None, zauto=None, zhoverformat=None, zmax=None, zmid=None, zmin=None, zorder=None, zsrc=None, row=None, col=None, secondary_y=None, **kwargs, ) -> "FigureWidget": """ Add a new Contour trace The data from which contour lines are computed is set in `z`. Data in `z` must be a 2D list of numbers. Say that `z` has N rows and M columns, then by default, these N rows correspond to N y coordinates (set in `y` or auto-generated) and the M columns correspond to M x coordinates (set in `x` or auto- generated). By setting `transpose` to True, the above behavior is flipped. Parameters ---------- autocolorscale Determines whether the colorscale is a default palette (`autocolorscale: true`) or the palette determined by `colorscale`. In case `colorscale` is unspecified or `autocolorscale` is true, the default palette will be chosen according to whether numbers in the `color` array are all positive, all negative or mixed. autocontour Determines whether or not the contour level attributes are picked by an algorithm. If True, the number of contour levels can be set in `ncontours`. If False, set the contour level attributes in `contours`. coloraxis Sets a reference to a shared color axis. References to these shared color axes are "coloraxis", "coloraxis2", "coloraxis3", etc. Settings for these shared color axes are set in the layout, under `layout.coloraxis`, `layout.coloraxis2`, etc. Note that multiple color scales can be linked to the same color axis. colorbar :class:`plotly.graph_objects.contour.ColorBar` instance or dict with compatible properties colorscale Sets the colorscale. The colorscale must be an array containing arrays mapping a normalized value to an rgb, rgba, hex, hsl, hsv, or named color string. At minimum, a mapping for the lowest (0) and highest (1) values are required. For example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the bounds of the colorscale in color space, use `zmin` and `zmax`. Alternatively, `colorscale` may be a palette name string of the following list: Blackbody,Bluered,Blues,C ividis,Earth,Electric,Greens,Greys,Hot,Jet,Picnic,Portl and,Rainbow,RdBu,Reds,Viridis,YlGnBu,YlOrRd. connectgaps Determines whether or not gaps (i.e. {nan} or missing values) in the `z` data are filled in. It is defaulted to true if `z` is a one dimensional array otherwise it is defaulted to false. contours :class:`plotly.graph_objects.contour.Contours` instance or dict with compatible properties customdata Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, "scatter" traces also appends customdata items in the markers DOM elements customdatasrc Sets the source reference on Chart Studio Cloud for `customdata`. dx Sets the x coordinate step. See `x0` for more info. dy Sets the y coordinate step. See `y0` for more info. fillcolor Sets the fill color if `contours.type` is "constraint". Defaults to a half-transparent variant of the line color, marker color, or marker line color, whichever is available. hoverinfo Determines which trace information appear on hover. If `none` or `skip` are set, no information is displayed upon hovering. But, if `none` is set, click and hover events are still fired. hoverinfosrc Sets the source reference on Chart Studio Cloud for `hoverinfo`. hoverlabel :class:`plotly.graph_objects.contour.Hoverlabel` instance or dict with compatible properties hoverongaps Determines whether or not gaps (i.e. {nan} or missing values) in the `z` data have hover labels associated with them. hovertemplate Template string used for rendering the information that appear on hover box. Note that this will override `hoverinfo`. Variables are inserted using %{variable}, for example "y: %{y}" as well as %{xother}, {%_xother}, {%_xother_}, {%xother_}. When showing info for several points, "xother" will be added to those with different x positions from the first point. An underscore before or after "(x|y)other" will add a space on that side, only when this field is shown. Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. The variables available in `hovertemplate` are the ones emitted as event data described at this link https://plotly.com/javascript/plotlyjs-events/#event- data. Additionally, every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. Anything contained in tag `` is displayed in the secondary box, for example "{fullData.name}". To hide the secondary box completely, use an empty tag ``. hovertemplatesrc Sets the source reference on Chart Studio Cloud for `hovertemplate`. hovertext Same as `text`. hovertextsrc Sets the source reference on Chart Studio Cloud for `hovertext`. ids Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type. idssrc Sets the source reference on Chart Studio Cloud for `ids`. legend Sets the reference to a legend to show this trace in. References to these legends are "legend", "legend2", "legend3", etc. Settings for these legends are set in the layout, under `layout.legend`, `layout.legend2`, etc. legendgroup Sets the legend group for this trace. Traces and shapes part of the same legend group hide/show at the same time when toggling legend items. legendgrouptitle :class:`plotly.graph_objects.contour.Legendgrouptitle` instance or dict with compatible properties legendrank Sets the legend rank for this trace. Items and groups with smaller ranks are presented on top/left side while with "reversed" `legend.traceorder` they are on bottom/right side. The default legendrank is 1000, so that you can use ranks less than 1000 to place certain items before all unranked items, and ranks greater than 1000 to go after all unranked items. When having unranked or equal rank items shapes would be displayed after traces i.e. according to their order in data and layout. legendwidth Sets the width (in px or fraction) of the legend for this trace. line :class:`plotly.graph_objects.contour.Line` instance or dict with compatible properties meta Assigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace `name`, graph, axis and colorbar `title.text`, annotation `text` `rangeselector`, `updatemenues` and `sliders` `label` text all support `meta`. To access the trace `meta` values in an attribute in the same trace, simply use `%{meta[i]}` where `i` is the index or key of the `meta` item in question. To access trace `meta` in layout attributes, use `%{data[n[.meta[i]}` where `i` is the index or key of the `meta` and `n` is the trace index. metasrc Sets the source reference on Chart Studio Cloud for `meta`. name Sets the trace name. The trace name appears as the legend item and on hover. ncontours Sets the maximum number of contour levels. The actual number of contours will be chosen automatically to be less than or equal to the value of `ncontours`. Has an effect only if `autocontour` is True or if `contours.size` is missing. opacity Sets the opacity of the trace. reversescale Reverses the color mapping if true. If true, `zmin` will correspond to the last color in the array and `zmax` will correspond to the first color. showlegend Determines whether or not an item corresponding to this trace is shown in the legend. showscale Determines whether or not a colorbar is displayed for this trace. stream :class:`plotly.graph_objects.contour.Stream` instance or dict with compatible properties text Sets the text elements associated with each z value. textfont For this trace it only has an effect if `coloring` is set to "heatmap". Sets the text font. textsrc Sets the source reference on Chart Studio Cloud for `text`. texttemplate For this trace it only has an effect if `coloring` is set to "heatmap". Template string used for rendering the information text that appear on points. Note that this will override `textinfo`. Variables are inserted using %{variable}, for example "y: %{y}". Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. Every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. Finally, the template string has access to variables `x`, `y`, `z` and `text`. transpose Transposes the z data. uid Assign an id to this trace, Use this to provide object constancy between traces during animations and transitions. uirevision Controls persistence of some user-driven changes to the trace: `constraintrange` in `parcoords` traces, as well as some `editable: true` modifications such as `name` and `colorbar.title`. Defaults to `layout.uirevision`. Note that other user-driven trace attribute changes are controlled by `layout` attributes: `trace.visible` is controlled by `layout.legend.uirevision`, `selectedpoints` is controlled by `layout.selectionrevision`, and `colorbar.(x|y)` (accessible with `config: {editable: true}`) is controlled by `layout.editrevision`. Trace changes are tracked by `uid`, which only falls back on trace index if no `uid` is provided. So if your app can add/remove traces before the end of the `data` array, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace a `uid` that stays with it as it moves. visible Determines whether or not this trace is visible. If "legendonly", the trace is not drawn, but can appear as a legend item (provided that the legend itself is visible). x Sets the x coordinates. x0 Alternate to `x`. Builds a linear space of x coordinates. Use with `dx` where `x0` is the starting coordinate and `dx` the step. xaxis Sets a reference between this trace's x coordinates and a 2D cartesian x axis. If "x" (the default value), the x coordinates refer to `layout.xaxis`. If "x2", the x coordinates refer to `layout.xaxis2`, and so on. xcalendar Sets the calendar system to use with `x` date data. xhoverformat Sets the hover text formatting rulefor `x` using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-format/tree/v1.4.5#d3-format. And for dates see: https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format. We add two items to d3's date formatter: "%h" for half of the year as a decimal number as well as "%{n}f" for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat "%H~%M~%S.%2f" would display *09~15~23.46*By default the values are formatted using `xaxis.hoverformat`. xperiod Only relevant when the axis `type` is "date". Sets the period positioning in milliseconds or "M" on the x axis. Special values in the form of "M" could be used to declare the number of months. In this case `n` must be a positive integer. xperiod0 Only relevant when the axis `type` is "date". Sets the base for period positioning in milliseconds or date string on the x0 axis. When `x0period` is round number of weeks, the `x0period0` by default would be on a Sunday i.e. 2000-01-02, otherwise it would be at 2000-01-01. xperiodalignment Only relevant when the axis `type` is "date". Sets the alignment of data points on the x axis. xsrc Sets the source reference on Chart Studio Cloud for `x`. xtype If "array", the heatmap's x coordinates are given by "x" (the default behavior when `x` is provided). If "scaled", the heatmap's x coordinates are given by "x0" and "dx" (the default behavior when `x` is not provided). y Sets the y coordinates. y0 Alternate to `y`. Builds a linear space of y coordinates. Use with `dy` where `y0` is the starting coordinate and `dy` the step. yaxis Sets a reference between this trace's y coordinates and a 2D cartesian y axis. If "y" (the default value), the y coordinates refer to `layout.yaxis`. If "y2", the y coordinates refer to `layout.yaxis2`, and so on. ycalendar Sets the calendar system to use with `y` date data. yhoverformat Sets the hover text formatting rulefor `y` using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-format/tree/v1.4.5#d3-format. And for dates see: https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format. We add two items to d3's date formatter: "%h" for half of the year as a decimal number as well as "%{n}f" for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat "%H~%M~%S.%2f" would display *09~15~23.46*By default the values are formatted using `yaxis.hoverformat`. yperiod Only relevant when the axis `type` is "date". Sets the period positioning in milliseconds or "M" on the y axis. Special values in the form of "M" could be used to declare the number of months. In this case `n` must be a positive integer. yperiod0 Only relevant when the axis `type` is "date". Sets the base for period positioning in milliseconds or date string on the y0 axis. When `y0period` is round number of weeks, the `y0period0` by default would be on a Sunday i.e. 2000-01-02, otherwise it would be at 2000-01-01. yperiodalignment Only relevant when the axis `type` is "date". Sets the alignment of data points on the y axis. ysrc Sets the source reference on Chart Studio Cloud for `y`. ytype If "array", the heatmap's y coordinates are given by "y" (the default behavior when `y` is provided) If "scaled", the heatmap's y coordinates are given by "y0" and "dy" (the default behavior when `y` is not provided) z Sets the z data. zauto Determines whether or not the color domain is computed with respect to the input data (here in `z`) or the bounds set in `zmin` and `zmax` Defaults to `false` when `zmin` and `zmax` are set by the user. zhoverformat Sets the hover text formatting rulefor `z` using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d 3/d3-format/tree/v1.4.5#d3-format.By default the values are formatted using generic number format. zmax Sets the upper bound of the color domain. Value should have the same units as in `z` and if set, `zmin` must be set as well. zmid Sets the mid-point of the color domain by scaling `zmin` and/or `zmax` to be equidistant to this point. Value should have the same units as in `z`. Has no effect when `zauto` is `false`. zmin Sets the lower bound of the color domain. Value should have the same units as in `z` and if set, `zmax` must be set as well. zorder Sets the layer on which this trace is displayed, relative to other SVG traces on the same subplot. SVG traces with higher `zorder` appear in front of those with lower `zorder`. zsrc Sets the source reference on Chart Studio Cloud for `z`. row : 'all', int or None (default) Subplot row index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all rows in the specified column(s). col : 'all', int or None (default) Subplot col index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all columns in the specified row(s). secondary_y: boolean or None (default None) If True, associate this trace with the secondary y-axis of the subplot at the specified row and col. Only valid if all of the following conditions are satisfied: * The figure was created using `plotly.subplots.make_subplots`. * The row and col arguments are not None * The subplot at the specified row and col has type xy (which is the default) and secondary_y True. These properties are specified in the specs argument to make_subplots. See the make_subplots docstring for more info. Returns ------- FigureWidget """ from plotly.graph_objs import Contour new_trace = Contour( autocolorscale=autocolorscale, autocontour=autocontour, coloraxis=coloraxis, colorbar=colorbar, colorscale=colorscale, connectgaps=connectgaps, contours=contours, customdata=customdata, customdatasrc=customdatasrc, dx=dx, dy=dy, fillcolor=fillcolor, hoverinfo=hoverinfo, hoverinfosrc=hoverinfosrc, hoverlabel=hoverlabel, hoverongaps=hoverongaps, hovertemplate=hovertemplate, hovertemplatesrc=hovertemplatesrc, hovertext=hovertext, hovertextsrc=hovertextsrc, ids=ids, idssrc=idssrc, legend=legend, legendgroup=legendgroup, legendgrouptitle=legendgrouptitle, legendrank=legendrank, legendwidth=legendwidth, line=line, meta=meta, metasrc=metasrc, name=name, ncontours=ncontours, opacity=opacity, reversescale=reversescale, showlegend=showlegend, showscale=showscale, stream=stream, text=text, textfont=textfont, textsrc=textsrc, texttemplate=texttemplate, transpose=transpose, uid=uid, uirevision=uirevision, visible=visible, x=x, x0=x0, xaxis=xaxis, xcalendar=xcalendar, xhoverformat=xhoverformat, xperiod=xperiod, xperiod0=xperiod0, xperiodalignment=xperiodalignment, xsrc=xsrc, xtype=xtype, y=y, y0=y0, yaxis=yaxis, ycalendar=ycalendar, yhoverformat=yhoverformat, yperiod=yperiod, yperiod0=yperiod0, yperiodalignment=yperiodalignment, ysrc=ysrc, ytype=ytype, z=z, zauto=zauto, zhoverformat=zhoverformat, zmax=zmax, zmid=zmid, zmin=zmin, zorder=zorder, zsrc=zsrc, **kwargs, ) return self.add_trace(new_trace, row=row, col=col, secondary_y=secondary_y) def add_contourcarpet( self, a=None, a0=None, asrc=None, atype=None, autocolorscale=None, autocontour=None, b=None, b0=None, bsrc=None, btype=None, carpet=None, coloraxis=None, colorbar=None, colorscale=None, contours=None, customdata=None, customdatasrc=None, da=None, db=None, fillcolor=None, hovertext=None, hovertextsrc=None, ids=None, idssrc=None, legend=None, legendgroup=None, legendgrouptitle=None, legendrank=None, legendwidth=None, line=None, meta=None, metasrc=None, name=None, ncontours=None, opacity=None, reversescale=None, showlegend=None, showscale=None, stream=None, text=None, textsrc=None, transpose=None, uid=None, uirevision=None, visible=None, xaxis=None, yaxis=None, z=None, zauto=None, zmax=None, zmid=None, zmin=None, zorder=None, zsrc=None, row=None, col=None, secondary_y=None, **kwargs, ) -> "FigureWidget": """ Add a new Contourcarpet trace Plots contours on either the first carpet axis or the carpet axis with a matching `carpet` attribute. Data `z` is interpreted as matching that of the corresponding carpet axis. Parameters ---------- a Sets the x coordinates. a0 Alternate to `x`. Builds a linear space of x coordinates. Use with `dx` where `x0` is the starting coordinate and `dx` the step. asrc Sets the source reference on Chart Studio Cloud for `a`. atype If "array", the heatmap's x coordinates are given by "x" (the default behavior when `x` is provided). If "scaled", the heatmap's x coordinates are given by "x0" and "dx" (the default behavior when `x` is not provided). autocolorscale Determines whether the colorscale is a default palette (`autocolorscale: true`) or the palette determined by `colorscale`. In case `colorscale` is unspecified or `autocolorscale` is true, the default palette will be chosen according to whether numbers in the `color` array are all positive, all negative or mixed. autocontour Determines whether or not the contour level attributes are picked by an algorithm. If True, the number of contour levels can be set in `ncontours`. If False, set the contour level attributes in `contours`. b Sets the y coordinates. b0 Alternate to `y`. Builds a linear space of y coordinates. Use with `dy` where `y0` is the starting coordinate and `dy` the step. bsrc Sets the source reference on Chart Studio Cloud for `b`. btype If "array", the heatmap's y coordinates are given by "y" (the default behavior when `y` is provided) If "scaled", the heatmap's y coordinates are given by "y0" and "dy" (the default behavior when `y` is not provided) carpet The `carpet` of the carpet axes on which this contour trace lies coloraxis Sets a reference to a shared color axis. References to these shared color axes are "coloraxis", "coloraxis2", "coloraxis3", etc. Settings for these shared color axes are set in the layout, under `layout.coloraxis`, `layout.coloraxis2`, etc. Note that multiple color scales can be linked to the same color axis. colorbar :class:`plotly.graph_objects.contourcarpet.ColorBar` instance or dict with compatible properties colorscale Sets the colorscale. The colorscale must be an array containing arrays mapping a normalized value to an rgb, rgba, hex, hsl, hsv, or named color string. At minimum, a mapping for the lowest (0) and highest (1) values are required. For example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the bounds of the colorscale in color space, use `zmin` and `zmax`. Alternatively, `colorscale` may be a palette name string of the following list: Blackbody,Bluered,Blues,C ividis,Earth,Electric,Greens,Greys,Hot,Jet,Picnic,Portl and,Rainbow,RdBu,Reds,Viridis,YlGnBu,YlOrRd. contours :class:`plotly.graph_objects.contourcarpet.Contours` instance or dict with compatible properties customdata Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, "scatter" traces also appends customdata items in the markers DOM elements customdatasrc Sets the source reference on Chart Studio Cloud for `customdata`. da Sets the x coordinate step. See `x0` for more info. db Sets the y coordinate step. See `y0` for more info. fillcolor Sets the fill color if `contours.type` is "constraint". Defaults to a half-transparent variant of the line color, marker color, or marker line color, whichever is available. hovertext Same as `text`. hovertextsrc Sets the source reference on Chart Studio Cloud for `hovertext`. ids Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type. idssrc Sets the source reference on Chart Studio Cloud for `ids`. legend Sets the reference to a legend to show this trace in. References to these legends are "legend", "legend2", "legend3", etc. Settings for these legends are set in the layout, under `layout.legend`, `layout.legend2`, etc. legendgroup Sets the legend group for this trace. Traces and shapes part of the same legend group hide/show at the same time when toggling legend items. legendgrouptitle :class:`plotly.graph_objects.contourcarpet.Legendgroupt itle` instance or dict with compatible properties legendrank Sets the legend rank for this trace. Items and groups with smaller ranks are presented on top/left side while with "reversed" `legend.traceorder` they are on bottom/right side. The default legendrank is 1000, so that you can use ranks less than 1000 to place certain items before all unranked items, and ranks greater than 1000 to go after all unranked items. When having unranked or equal rank items shapes would be displayed after traces i.e. according to their order in data and layout. legendwidth Sets the width (in px or fraction) of the legend for this trace. line :class:`plotly.graph_objects.contourcarpet.Line` instance or dict with compatible properties meta Assigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace `name`, graph, axis and colorbar `title.text`, annotation `text` `rangeselector`, `updatemenues` and `sliders` `label` text all support `meta`. To access the trace `meta` values in an attribute in the same trace, simply use `%{meta[i]}` where `i` is the index or key of the `meta` item in question. To access trace `meta` in layout attributes, use `%{data[n[.meta[i]}` where `i` is the index or key of the `meta` and `n` is the trace index. metasrc Sets the source reference on Chart Studio Cloud for `meta`. name Sets the trace name. The trace name appears as the legend item and on hover. ncontours Sets the maximum number of contour levels. The actual number of contours will be chosen automatically to be less than or equal to the value of `ncontours`. Has an effect only if `autocontour` is True or if `contours.size` is missing. opacity Sets the opacity of the trace. reversescale Reverses the color mapping if true. If true, `zmin` will correspond to the last color in the array and `zmax` will correspond to the first color. showlegend Determines whether or not an item corresponding to this trace is shown in the legend. showscale Determines whether or not a colorbar is displayed for this trace. stream :class:`plotly.graph_objects.contourcarpet.Stream` instance or dict with compatible properties text Sets the text elements associated with each z value. textsrc Sets the source reference on Chart Studio Cloud for `text`. transpose Transposes the z data. uid Assign an id to this trace, Use this to provide object constancy between traces during animations and transitions. uirevision Controls persistence of some user-driven changes to the trace: `constraintrange` in `parcoords` traces, as well as some `editable: true` modifications such as `name` and `colorbar.title`. Defaults to `layout.uirevision`. Note that other user-driven trace attribute changes are controlled by `layout` attributes: `trace.visible` is controlled by `layout.legend.uirevision`, `selectedpoints` is controlled by `layout.selectionrevision`, and `colorbar.(x|y)` (accessible with `config: {editable: true}`) is controlled by `layout.editrevision`. Trace changes are tracked by `uid`, which only falls back on trace index if no `uid` is provided. So if your app can add/remove traces before the end of the `data` array, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace a `uid` that stays with it as it moves. visible Determines whether or not this trace is visible. If "legendonly", the trace is not drawn, but can appear as a legend item (provided that the legend itself is visible). xaxis Sets a reference between this trace's x coordinates and a 2D cartesian x axis. If "x" (the default value), the x coordinates refer to `layout.xaxis`. If "x2", the x coordinates refer to `layout.xaxis2`, and so on. yaxis Sets a reference between this trace's y coordinates and a 2D cartesian y axis. If "y" (the default value), the y coordinates refer to `layout.yaxis`. If "y2", the y coordinates refer to `layout.yaxis2`, and so on. z Sets the z data. zauto Determines whether or not the color domain is computed with respect to the input data (here in `z`) or the bounds set in `zmin` and `zmax` Defaults to `false` when `zmin` and `zmax` are set by the user. zmax Sets the upper bound of the color domain. Value should have the same units as in `z` and if set, `zmin` must be set as well. zmid Sets the mid-point of the color domain by scaling `zmin` and/or `zmax` to be equidistant to this point. Value should have the same units as in `z`. Has no effect when `zauto` is `false`. zmin Sets the lower bound of the color domain. Value should have the same units as in `z` and if set, `zmax` must be set as well. zorder Sets the layer on which this trace is displayed, relative to other SVG traces on the same subplot. SVG traces with higher `zorder` appear in front of those with lower `zorder`. zsrc Sets the source reference on Chart Studio Cloud for `z`. row : 'all', int or None (default) Subplot row index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all rows in the specified column(s). col : 'all', int or None (default) Subplot col index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all columns in the specified row(s). secondary_y: boolean or None (default None) If True, associate this trace with the secondary y-axis of the subplot at the specified row and col. Only valid if all of the following conditions are satisfied: * The figure was created using `plotly.subplots.make_subplots`. * The row and col arguments are not None * The subplot at the specified row and col has type xy (which is the default) and secondary_y True. These properties are specified in the specs argument to make_subplots. See the make_subplots docstring for more info. Returns ------- FigureWidget """ from plotly.graph_objs import Contourcarpet new_trace = Contourcarpet( a=a, a0=a0, asrc=asrc, atype=atype, autocolorscale=autocolorscale, autocontour=autocontour, b=b, b0=b0, bsrc=bsrc, btype=btype, carpet=carpet, coloraxis=coloraxis, colorbar=colorbar, colorscale=colorscale, contours=contours, customdata=customdata, customdatasrc=customdatasrc, da=da, db=db, fillcolor=fillcolor, hovertext=hovertext, hovertextsrc=hovertextsrc, ids=ids, idssrc=idssrc, legend=legend, legendgroup=legendgroup, legendgrouptitle=legendgrouptitle, legendrank=legendrank, legendwidth=legendwidth, line=line, meta=meta, metasrc=metasrc, name=name, ncontours=ncontours, opacity=opacity, reversescale=reversescale, showlegend=showlegend, showscale=showscale, stream=stream, text=text, textsrc=textsrc, transpose=transpose, uid=uid, uirevision=uirevision, visible=visible, xaxis=xaxis, yaxis=yaxis, z=z, zauto=zauto, zmax=zmax, zmid=zmid, zmin=zmin, zorder=zorder, zsrc=zsrc, **kwargs, ) return self.add_trace(new_trace, row=row, col=col, secondary_y=secondary_y) def add_densitymap( self, autocolorscale=None, below=None, coloraxis=None, colorbar=None, colorscale=None, customdata=None, customdatasrc=None, hoverinfo=None, hoverinfosrc=None, hoverlabel=None, hovertemplate=None, hovertemplatesrc=None, hovertext=None, hovertextsrc=None, ids=None, idssrc=None, lat=None, latsrc=None, legend=None, legendgroup=None, legendgrouptitle=None, legendrank=None, legendwidth=None, lon=None, lonsrc=None, meta=None, metasrc=None, name=None, opacity=None, radius=None, radiussrc=None, reversescale=None, showlegend=None, showscale=None, stream=None, subplot=None, text=None, textsrc=None, uid=None, uirevision=None, visible=None, z=None, zauto=None, zmax=None, zmid=None, zmin=None, zsrc=None, row=None, col=None, **kwargs, ) -> "FigureWidget": """ Add a new Densitymap trace Draws a bivariate kernel density estimation with a Gaussian kernel from `lon` and `lat` coordinates and optional `z` values using a colorscale. Parameters ---------- autocolorscale Determines whether the colorscale is a default palette (`autocolorscale: true`) or the palette determined by `colorscale`. In case `colorscale` is unspecified or `autocolorscale` is true, the default palette will be chosen according to whether numbers in the `color` array are all positive, all negative or mixed. below Determines if the densitymap trace will be inserted before the layer with the specified ID. By default, densitymap traces are placed below the first layer of type symbol If set to '', the layer will be inserted above every existing layer. coloraxis Sets a reference to a shared color axis. References to these shared color axes are "coloraxis", "coloraxis2", "coloraxis3", etc. Settings for these shared color axes are set in the layout, under `layout.coloraxis`, `layout.coloraxis2`, etc. Note that multiple color scales can be linked to the same color axis. colorbar :class:`plotly.graph_objects.densitymap.ColorBar` instance or dict with compatible properties colorscale Sets the colorscale. The colorscale must be an array containing arrays mapping a normalized value to an rgb, rgba, hex, hsl, hsv, or named color string. At minimum, a mapping for the lowest (0) and highest (1) values are required. For example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the bounds of the colorscale in color space, use `zmin` and `zmax`. Alternatively, `colorscale` may be a palette name string of the following list: Blackbody,Bluered,Blues,C ividis,Earth,Electric,Greens,Greys,Hot,Jet,Picnic,Portl and,Rainbow,RdBu,Reds,Viridis,YlGnBu,YlOrRd. customdata Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, "scatter" traces also appends customdata items in the markers DOM elements customdatasrc Sets the source reference on Chart Studio Cloud for `customdata`. hoverinfo Determines which trace information appear on hover. If `none` or `skip` are set, no information is displayed upon hovering. But, if `none` is set, click and hover events are still fired. hoverinfosrc Sets the source reference on Chart Studio Cloud for `hoverinfo`. hoverlabel :class:`plotly.graph_objects.densitymap.Hoverlabel` instance or dict with compatible properties hovertemplate Template string used for rendering the information that appear on hover box. Note that this will override `hoverinfo`. Variables are inserted using %{variable}, for example "y: %{y}" as well as %{xother}, {%_xother}, {%_xother_}, {%xother_}. When showing info for several points, "xother" will be added to those with different x positions from the first point. An underscore before or after "(x|y)other" will add a space on that side, only when this field is shown. Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. The variables available in `hovertemplate` are the ones emitted as event data described at this link https://plotly.com/javascript/plotlyjs-events/#event- data. Additionally, every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. Anything contained in tag `` is displayed in the secondary box, for example "{fullData.name}". To hide the secondary box completely, use an empty tag ``. hovertemplatesrc Sets the source reference on Chart Studio Cloud for `hovertemplate`. hovertext Sets hover text elements associated with each (lon,lat) pair If a single string, the same string appears over all the data points. If an array of string, the items are mapped in order to the this trace's (lon,lat) coordinates. To be seen, trace `hoverinfo` must contain a "text" flag. hovertextsrc Sets the source reference on Chart Studio Cloud for `hovertext`. ids Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type. idssrc Sets the source reference on Chart Studio Cloud for `ids`. lat Sets the latitude coordinates (in degrees North). latsrc Sets the source reference on Chart Studio Cloud for `lat`. legend Sets the reference to a legend to show this trace in. References to these legends are "legend", "legend2", "legend3", etc. Settings for these legends are set in the layout, under `layout.legend`, `layout.legend2`, etc. legendgroup Sets the legend group for this trace. Traces and shapes part of the same legend group hide/show at the same time when toggling legend items. legendgrouptitle :class:`plotly.graph_objects.densitymap.Legendgrouptitl e` instance or dict with compatible properties legendrank Sets the legend rank for this trace. Items and groups with smaller ranks are presented on top/left side while with "reversed" `legend.traceorder` they are on bottom/right side. The default legendrank is 1000, so that you can use ranks less than 1000 to place certain items before all unranked items, and ranks greater than 1000 to go after all unranked items. When having unranked or equal rank items shapes would be displayed after traces i.e. according to their order in data and layout. legendwidth Sets the width (in px or fraction) of the legend for this trace. lon Sets the longitude coordinates (in degrees East). lonsrc Sets the source reference on Chart Studio Cloud for `lon`. meta Assigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace `name`, graph, axis and colorbar `title.text`, annotation `text` `rangeselector`, `updatemenues` and `sliders` `label` text all support `meta`. To access the trace `meta` values in an attribute in the same trace, simply use `%{meta[i]}` where `i` is the index or key of the `meta` item in question. To access trace `meta` in layout attributes, use `%{data[n[.meta[i]}` where `i` is the index or key of the `meta` and `n` is the trace index. metasrc Sets the source reference on Chart Studio Cloud for `meta`. name Sets the trace name. The trace name appears as the legend item and on hover. opacity Sets the opacity of the trace. radius Sets the radius of influence of one `lon` / `lat` point in pixels. Increasing the value makes the densitymap trace smoother, but less detailed. radiussrc Sets the source reference on Chart Studio Cloud for `radius`. reversescale Reverses the color mapping if true. If true, `zmin` will correspond to the last color in the array and `zmax` will correspond to the first color. showlegend Determines whether or not an item corresponding to this trace is shown in the legend. showscale Determines whether or not a colorbar is displayed for this trace. stream :class:`plotly.graph_objects.densitymap.Stream` instance or dict with compatible properties subplot Sets a reference between this trace's data coordinates and a map subplot. If "map" (the default value), the data refer to `layout.map`. If "map2", the data refer to `layout.map2`, and so on. text Sets text elements associated with each (lon,lat) pair If a single string, the same string appears over all the data points. If an array of string, the items are mapped in order to the this trace's (lon,lat) coordinates. If trace `hoverinfo` contains a "text" flag and "hovertext" is not set, these elements will be seen in the hover labels. textsrc Sets the source reference on Chart Studio Cloud for `text`. uid Assign an id to this trace, Use this to provide object constancy between traces during animations and transitions. uirevision Controls persistence of some user-driven changes to the trace: `constraintrange` in `parcoords` traces, as well as some `editable: true` modifications such as `name` and `colorbar.title`. Defaults to `layout.uirevision`. Note that other user-driven trace attribute changes are controlled by `layout` attributes: `trace.visible` is controlled by `layout.legend.uirevision`, `selectedpoints` is controlled by `layout.selectionrevision`, and `colorbar.(x|y)` (accessible with `config: {editable: true}`) is controlled by `layout.editrevision`. Trace changes are tracked by `uid`, which only falls back on trace index if no `uid` is provided. So if your app can add/remove traces before the end of the `data` array, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace a `uid` that stays with it as it moves. visible Determines whether or not this trace is visible. If "legendonly", the trace is not drawn, but can appear as a legend item (provided that the legend itself is visible). z Sets the points' weight. For example, a value of 10 would be equivalent to having 10 points of weight 1 in the same spot zauto Determines whether or not the color domain is computed with respect to the input data (here in `z`) or the bounds set in `zmin` and `zmax` Defaults to `false` when `zmin` and `zmax` are set by the user. zmax Sets the upper bound of the color domain. Value should have the same units as in `z` and if set, `zmin` must be set as well. zmid Sets the mid-point of the color domain by scaling `zmin` and/or `zmax` to be equidistant to this point. Value should have the same units as in `z`. Has no effect when `zauto` is `false`. zmin Sets the lower bound of the color domain. Value should have the same units as in `z` and if set, `zmax` must be set as well. zsrc Sets the source reference on Chart Studio Cloud for `z`. row : 'all', int or None (default) Subplot row index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all rows in the specified column(s). col : 'all', int or None (default) Subplot col index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all columns in the specified row(s). Returns ------- FigureWidget """ from plotly.graph_objs import Densitymap new_trace = Densitymap( autocolorscale=autocolorscale, below=below, coloraxis=coloraxis, colorbar=colorbar, colorscale=colorscale, customdata=customdata, customdatasrc=customdatasrc, hoverinfo=hoverinfo, hoverinfosrc=hoverinfosrc, hoverlabel=hoverlabel, hovertemplate=hovertemplate, hovertemplatesrc=hovertemplatesrc, hovertext=hovertext, hovertextsrc=hovertextsrc, ids=ids, idssrc=idssrc, lat=lat, latsrc=latsrc, legend=legend, legendgroup=legendgroup, legendgrouptitle=legendgrouptitle, legendrank=legendrank, legendwidth=legendwidth, lon=lon, lonsrc=lonsrc, meta=meta, metasrc=metasrc, name=name, opacity=opacity, radius=radius, radiussrc=radiussrc, reversescale=reversescale, showlegend=showlegend, showscale=showscale, stream=stream, subplot=subplot, text=text, textsrc=textsrc, uid=uid, uirevision=uirevision, visible=visible, z=z, zauto=zauto, zmax=zmax, zmid=zmid, zmin=zmin, zsrc=zsrc, **kwargs, ) return self.add_trace(new_trace, row=row, col=col) def add_densitymapbox( self, autocolorscale=None, below=None, coloraxis=None, colorbar=None, colorscale=None, customdata=None, customdatasrc=None, hoverinfo=None, hoverinfosrc=None, hoverlabel=None, hovertemplate=None, hovertemplatesrc=None, hovertext=None, hovertextsrc=None, ids=None, idssrc=None, lat=None, latsrc=None, legend=None, legendgroup=None, legendgrouptitle=None, legendrank=None, legendwidth=None, lon=None, lonsrc=None, meta=None, metasrc=None, name=None, opacity=None, radius=None, radiussrc=None, reversescale=None, showlegend=None, showscale=None, stream=None, subplot=None, text=None, textsrc=None, uid=None, uirevision=None, visible=None, z=None, zauto=None, zmax=None, zmid=None, zmin=None, zsrc=None, row=None, col=None, **kwargs, ) -> "FigureWidget": """ Add a new Densitymapbox trace "densitymapbox" trace is deprecated! Please consider switching to the "densitymap" trace type and `map` subplots. Learn more at: https://plotly.com/python/maplibre-migration/ as well as https://plotly.com/javascript/maplibre-migration/ Draws a bivariate kernel density estimation with a Gaussian kernel from `lon` and `lat` coordinates and optional `z` values using a colorscale. Parameters ---------- autocolorscale Determines whether the colorscale is a default palette (`autocolorscale: true`) or the palette determined by `colorscale`. In case `colorscale` is unspecified or `autocolorscale` is true, the default palette will be chosen according to whether numbers in the `color` array are all positive, all negative or mixed. below Determines if the densitymapbox trace will be inserted before the layer with the specified ID. By default, densitymapbox traces are placed below the first layer of type symbol If set to '', the layer will be inserted above every existing layer. coloraxis Sets a reference to a shared color axis. References to these shared color axes are "coloraxis", "coloraxis2", "coloraxis3", etc. Settings for these shared color axes are set in the layout, under `layout.coloraxis`, `layout.coloraxis2`, etc. Note that multiple color scales can be linked to the same color axis. colorbar :class:`plotly.graph_objects.densitymapbox.ColorBar` instance or dict with compatible properties colorscale Sets the colorscale. The colorscale must be an array containing arrays mapping a normalized value to an rgb, rgba, hex, hsl, hsv, or named color string. At minimum, a mapping for the lowest (0) and highest (1) values are required. For example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the bounds of the colorscale in color space, use `zmin` and `zmax`. Alternatively, `colorscale` may be a palette name string of the following list: Blackbody,Bluered,Blues,C ividis,Earth,Electric,Greens,Greys,Hot,Jet,Picnic,Portl and,Rainbow,RdBu,Reds,Viridis,YlGnBu,YlOrRd. customdata Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, "scatter" traces also appends customdata items in the markers DOM elements customdatasrc Sets the source reference on Chart Studio Cloud for `customdata`. hoverinfo Determines which trace information appear on hover. If `none` or `skip` are set, no information is displayed upon hovering. But, if `none` is set, click and hover events are still fired. hoverinfosrc Sets the source reference on Chart Studio Cloud for `hoverinfo`. hoverlabel :class:`plotly.graph_objects.densitymapbox.Hoverlabel` instance or dict with compatible properties hovertemplate Template string used for rendering the information that appear on hover box. Note that this will override `hoverinfo`. Variables are inserted using %{variable}, for example "y: %{y}" as well as %{xother}, {%_xother}, {%_xother_}, {%xother_}. When showing info for several points, "xother" will be added to those with different x positions from the first point. An underscore before or after "(x|y)other" will add a space on that side, only when this field is shown. Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. The variables available in `hovertemplate` are the ones emitted as event data described at this link https://plotly.com/javascript/plotlyjs-events/#event- data. Additionally, every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. Anything contained in tag `` is displayed in the secondary box, for example "{fullData.name}". To hide the secondary box completely, use an empty tag ``. hovertemplatesrc Sets the source reference on Chart Studio Cloud for `hovertemplate`. hovertext Sets hover text elements associated with each (lon,lat) pair If a single string, the same string appears over all the data points. If an array of string, the items are mapped in order to the this trace's (lon,lat) coordinates. To be seen, trace `hoverinfo` must contain a "text" flag. hovertextsrc Sets the source reference on Chart Studio Cloud for `hovertext`. ids Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type. idssrc Sets the source reference on Chart Studio Cloud for `ids`. lat Sets the latitude coordinates (in degrees North). latsrc Sets the source reference on Chart Studio Cloud for `lat`. legend Sets the reference to a legend to show this trace in. References to these legends are "legend", "legend2", "legend3", etc. Settings for these legends are set in the layout, under `layout.legend`, `layout.legend2`, etc. legendgroup Sets the legend group for this trace. Traces and shapes part of the same legend group hide/show at the same time when toggling legend items. legendgrouptitle :class:`plotly.graph_objects.densitymapbox.Legendgroupt itle` instance or dict with compatible properties legendrank Sets the legend rank for this trace. Items and groups with smaller ranks are presented on top/left side while with "reversed" `legend.traceorder` they are on bottom/right side. The default legendrank is 1000, so that you can use ranks less than 1000 to place certain items before all unranked items, and ranks greater than 1000 to go after all unranked items. When having unranked or equal rank items shapes would be displayed after traces i.e. according to their order in data and layout. legendwidth Sets the width (in px or fraction) of the legend for this trace. lon Sets the longitude coordinates (in degrees East). lonsrc Sets the source reference on Chart Studio Cloud for `lon`. meta Assigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace `name`, graph, axis and colorbar `title.text`, annotation `text` `rangeselector`, `updatemenues` and `sliders` `label` text all support `meta`. To access the trace `meta` values in an attribute in the same trace, simply use `%{meta[i]}` where `i` is the index or key of the `meta` item in question. To access trace `meta` in layout attributes, use `%{data[n[.meta[i]}` where `i` is the index or key of the `meta` and `n` is the trace index. metasrc Sets the source reference on Chart Studio Cloud for `meta`. name Sets the trace name. The trace name appears as the legend item and on hover. opacity Sets the opacity of the trace. radius Sets the radius of influence of one `lon` / `lat` point in pixels. Increasing the value makes the densitymapbox trace smoother, but less detailed. radiussrc Sets the source reference on Chart Studio Cloud for `radius`. reversescale Reverses the color mapping if true. If true, `zmin` will correspond to the last color in the array and `zmax` will correspond to the first color. showlegend Determines whether or not an item corresponding to this trace is shown in the legend. showscale Determines whether or not a colorbar is displayed for this trace. stream :class:`plotly.graph_objects.densitymapbox.Stream` instance or dict with compatible properties subplot mapbox subplots and traces are deprecated! Please consider switching to `map` subplots and traces. Learn more at: https://plotly.com/python/maplibre-migration/ as well as https://plotly.com/javascript/maplibre- migration/ Sets a reference between this trace's data coordinates and a mapbox subplot. If "mapbox" (the default value), the data refer to `layout.mapbox`. If "mapbox2", the data refer to `layout.mapbox2`, and so on. text Sets text elements associated with each (lon,lat) pair If a single string, the same string appears over all the data points. If an array of string, the items are mapped in order to the this trace's (lon,lat) coordinates. If trace `hoverinfo` contains a "text" flag and "hovertext" is not set, these elements will be seen in the hover labels. textsrc Sets the source reference on Chart Studio Cloud for `text`. uid Assign an id to this trace, Use this to provide object constancy between traces during animations and transitions. uirevision Controls persistence of some user-driven changes to the trace: `constraintrange` in `parcoords` traces, as well as some `editable: true` modifications such as `name` and `colorbar.title`. Defaults to `layout.uirevision`. Note that other user-driven trace attribute changes are controlled by `layout` attributes: `trace.visible` is controlled by `layout.legend.uirevision`, `selectedpoints` is controlled by `layout.selectionrevision`, and `colorbar.(x|y)` (accessible with `config: {editable: true}`) is controlled by `layout.editrevision`. Trace changes are tracked by `uid`, which only falls back on trace index if no `uid` is provided. So if your app can add/remove traces before the end of the `data` array, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace a `uid` that stays with it as it moves. visible Determines whether or not this trace is visible. If "legendonly", the trace is not drawn, but can appear as a legend item (provided that the legend itself is visible). z Sets the points' weight. For example, a value of 10 would be equivalent to having 10 points of weight 1 in the same spot zauto Determines whether or not the color domain is computed with respect to the input data (here in `z`) or the bounds set in `zmin` and `zmax` Defaults to `false` when `zmin` and `zmax` are set by the user. zmax Sets the upper bound of the color domain. Value should have the same units as in `z` and if set, `zmin` must be set as well. zmid Sets the mid-point of the color domain by scaling `zmin` and/or `zmax` to be equidistant to this point. Value should have the same units as in `z`. Has no effect when `zauto` is `false`. zmin Sets the lower bound of the color domain. Value should have the same units as in `z` and if set, `zmax` must be set as well. zsrc Sets the source reference on Chart Studio Cloud for `z`. row : 'all', int or None (default) Subplot row index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all rows in the specified column(s). col : 'all', int or None (default) Subplot col index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all columns in the specified row(s). Returns ------- FigureWidget """ from plotly.graph_objs import Densitymapbox new_trace = Densitymapbox( autocolorscale=autocolorscale, below=below, coloraxis=coloraxis, colorbar=colorbar, colorscale=colorscale, customdata=customdata, customdatasrc=customdatasrc, hoverinfo=hoverinfo, hoverinfosrc=hoverinfosrc, hoverlabel=hoverlabel, hovertemplate=hovertemplate, hovertemplatesrc=hovertemplatesrc, hovertext=hovertext, hovertextsrc=hovertextsrc, ids=ids, idssrc=idssrc, lat=lat, latsrc=latsrc, legend=legend, legendgroup=legendgroup, legendgrouptitle=legendgrouptitle, legendrank=legendrank, legendwidth=legendwidth, lon=lon, lonsrc=lonsrc, meta=meta, metasrc=metasrc, name=name, opacity=opacity, radius=radius, radiussrc=radiussrc, reversescale=reversescale, showlegend=showlegend, showscale=showscale, stream=stream, subplot=subplot, text=text, textsrc=textsrc, uid=uid, uirevision=uirevision, visible=visible, z=z, zauto=zauto, zmax=zmax, zmid=zmid, zmin=zmin, zsrc=zsrc, **kwargs, ) return self.add_trace(new_trace, row=row, col=col) def add_funnel( self, alignmentgroup=None, cliponaxis=None, connector=None, constraintext=None, customdata=None, customdatasrc=None, dx=None, dy=None, hoverinfo=None, hoverinfosrc=None, hoverlabel=None, hovertemplate=None, hovertemplatesrc=None, hovertext=None, hovertextsrc=None, ids=None, idssrc=None, insidetextanchor=None, insidetextfont=None, legend=None, legendgroup=None, legendgrouptitle=None, legendrank=None, legendwidth=None, marker=None, meta=None, metasrc=None, name=None, offset=None, offsetgroup=None, opacity=None, orientation=None, outsidetextfont=None, selectedpoints=None, showlegend=None, stream=None, text=None, textangle=None, textfont=None, textinfo=None, textposition=None, textpositionsrc=None, textsrc=None, texttemplate=None, texttemplatesrc=None, uid=None, uirevision=None, visible=None, width=None, x=None, x0=None, xaxis=None, xhoverformat=None, xperiod=None, xperiod0=None, xperiodalignment=None, xsrc=None, y=None, y0=None, yaxis=None, yhoverformat=None, yperiod=None, yperiod0=None, yperiodalignment=None, ysrc=None, zorder=None, row=None, col=None, secondary_y=None, **kwargs, ) -> "FigureWidget": """ Add a new Funnel trace Visualize stages in a process using length-encoded bars. This trace can be used to show data in either a part-to-whole representation wherein each item appears in a single stage, or in a "drop-off" representation wherein each item appears in each stage it traversed. See also the "funnelarea" trace type for a different approach to visualizing funnel data. Parameters ---------- alignmentgroup Set several traces linked to the same position axis or matching axes to the same alignmentgroup. This controls whether bars compute their positional range dependently or independently. cliponaxis Determines whether the text nodes are clipped about the subplot axes. To show the text nodes above axis lines and tick labels, make sure to set `xaxis.layer` and `yaxis.layer` to *below traces*. connector :class:`plotly.graph_objects.funnel.Connector` instance or dict with compatible properties constraintext Constrain the size of text inside or outside a bar to be no larger than the bar itself. customdata Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, "scatter" traces also appends customdata items in the markers DOM elements customdatasrc Sets the source reference on Chart Studio Cloud for `customdata`. dx Sets the x coordinate step. See `x0` for more info. dy Sets the y coordinate step. See `y0` for more info. hoverinfo Determines which trace information appear on hover. If `none` or `skip` are set, no information is displayed upon hovering. But, if `none` is set, click and hover events are still fired. hoverinfosrc Sets the source reference on Chart Studio Cloud for `hoverinfo`. hoverlabel :class:`plotly.graph_objects.funnel.Hoverlabel` instance or dict with compatible properties hovertemplate Template string used for rendering the information that appear on hover box. Note that this will override `hoverinfo`. Variables are inserted using %{variable}, for example "y: %{y}" as well as %{xother}, {%_xother}, {%_xother_}, {%xother_}. When showing info for several points, "xother" will be added to those with different x positions from the first point. An underscore before or after "(x|y)other" will add a space on that side, only when this field is shown. Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. The variables available in `hovertemplate` are the ones emitted as event data described at this link https://plotly.com/javascript/plotlyjs-events/#event- data. Additionally, every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. Finally, the template string has access to variables `percentInitial`, `percentPrevious` and `percentTotal`. Anything contained in tag `` is displayed in the secondary box, for example "{fullData.name}". To hide the secondary box completely, use an empty tag ``. hovertemplatesrc Sets the source reference on Chart Studio Cloud for `hovertemplate`. hovertext Sets hover text elements associated with each (x,y) pair. If a single string, the same string appears over all the data points. If an array of string, the items are mapped in order to the this trace's (x,y) coordinates. To be seen, trace `hoverinfo` must contain a "text" flag. hovertextsrc Sets the source reference on Chart Studio Cloud for `hovertext`. ids Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type. idssrc Sets the source reference on Chart Studio Cloud for `ids`. insidetextanchor Determines if texts are kept at center or start/end points in `textposition` "inside" mode. insidetextfont Sets the font used for `text` lying inside the bar. legend Sets the reference to a legend to show this trace in. References to these legends are "legend", "legend2", "legend3", etc. Settings for these legends are set in the layout, under `layout.legend`, `layout.legend2`, etc. legendgroup Sets the legend group for this trace. Traces and shapes part of the same legend group hide/show at the same time when toggling legend items. legendgrouptitle :class:`plotly.graph_objects.funnel.Legendgrouptitle` instance or dict with compatible properties legendrank Sets the legend rank for this trace. Items and groups with smaller ranks are presented on top/left side while with "reversed" `legend.traceorder` they are on bottom/right side. The default legendrank is 1000, so that you can use ranks less than 1000 to place certain items before all unranked items, and ranks greater than 1000 to go after all unranked items. When having unranked or equal rank items shapes would be displayed after traces i.e. according to their order in data and layout. legendwidth Sets the width (in px or fraction) of the legend for this trace. marker :class:`plotly.graph_objects.funnel.Marker` instance or dict with compatible properties meta Assigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace `name`, graph, axis and colorbar `title.text`, annotation `text` `rangeselector`, `updatemenues` and `sliders` `label` text all support `meta`. To access the trace `meta` values in an attribute in the same trace, simply use `%{meta[i]}` where `i` is the index or key of the `meta` item in question. To access trace `meta` in layout attributes, use `%{data[n[.meta[i]}` where `i` is the index or key of the `meta` and `n` is the trace index. metasrc Sets the source reference on Chart Studio Cloud for `meta`. name Sets the trace name. The trace name appears as the legend item and on hover. offset Shifts the position where the bar is drawn (in position axis units). In "group" barmode, traces that set "offset" will be excluded and drawn in "overlay" mode instead. offsetgroup Set several traces linked to the same position axis or matching axes to the same offsetgroup where bars of the same position coordinate will line up. opacity Sets the opacity of the trace. orientation Sets the orientation of the funnels. With "v" ("h"), the value of the each bar spans along the vertical (horizontal). By default funnels are tend to be oriented horizontally; unless only "y" array is presented or orientation is set to "v". Also regarding graphs including only 'horizontal' funnels, "autorange" on the "y-axis" are set to "reversed". outsidetextfont Sets the font used for `text` lying outside the bar. selectedpoints Array containing integer indices of selected points. Has an effect only for traces that support selections. Note that an empty array means an empty selection where the `unselected` are turned on for all points, whereas, any other non-array values means no selection all where the `selected` and `unselected` styles have no effect. showlegend Determines whether or not an item corresponding to this trace is shown in the legend. stream :class:`plotly.graph_objects.funnel.Stream` instance or dict with compatible properties text Sets text elements associated with each (x,y) pair. If a single string, the same string appears over all the data points. If an array of string, the items are mapped in order to the this trace's (x,y) coordinates. If trace `hoverinfo` contains a "text" flag and "hovertext" is not set, these elements will be seen in the hover labels. textangle Sets the angle of the tick labels with respect to the bar. For example, a `tickangle` of -90 draws the tick labels vertically. With "auto" the texts may automatically be rotated to fit with the maximum size in bars. textfont Sets the font used for `text`. textinfo Determines which trace information appear on the graph. In the case of having multiple funnels, percentages & totals are computed separately (per trace). textposition Specifies the location of the `text`. "inside" positions `text` inside, next to the bar end (rotated and scaled if needed). "outside" positions `text` outside, next to the bar end (scaled if needed), unless there is another bar stacked on this one, then the text gets pushed inside. "auto" tries to position `text` inside the bar, but if the bar is too small and no bar is stacked on this one the text is moved outside. If "none", no text appears. textpositionsrc Sets the source reference on Chart Studio Cloud for `textposition`. textsrc Sets the source reference on Chart Studio Cloud for `text`. texttemplate Template string used for rendering the information text that appear on points. Note that this will override `textinfo`. Variables are inserted using %{variable}, for example "y: %{y}". Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. Every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. Finally, the template string has access to variables `percentInitial`, `percentPrevious`, `percentTotal`, `label` and `value`. texttemplatesrc Sets the source reference on Chart Studio Cloud for `texttemplate`. uid Assign an id to this trace, Use this to provide object constancy between traces during animations and transitions. uirevision Controls persistence of some user-driven changes to the trace: `constraintrange` in `parcoords` traces, as well as some `editable: true` modifications such as `name` and `colorbar.title`. Defaults to `layout.uirevision`. Note that other user-driven trace attribute changes are controlled by `layout` attributes: `trace.visible` is controlled by `layout.legend.uirevision`, `selectedpoints` is controlled by `layout.selectionrevision`, and `colorbar.(x|y)` (accessible with `config: {editable: true}`) is controlled by `layout.editrevision`. Trace changes are tracked by `uid`, which only falls back on trace index if no `uid` is provided. So if your app can add/remove traces before the end of the `data` array, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace a `uid` that stays with it as it moves. visible Determines whether or not this trace is visible. If "legendonly", the trace is not drawn, but can appear as a legend item (provided that the legend itself is visible). width Sets the bar width (in position axis units). x Sets the x coordinates. x0 Alternate to `x`. Builds a linear space of x coordinates. Use with `dx` where `x0` is the starting coordinate and `dx` the step. xaxis Sets a reference between this trace's x coordinates and a 2D cartesian x axis. If "x" (the default value), the x coordinates refer to `layout.xaxis`. If "x2", the x coordinates refer to `layout.xaxis2`, and so on. xhoverformat Sets the hover text formatting rulefor `x` using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-format/tree/v1.4.5#d3-format. And for dates see: https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format. We add two items to d3's date formatter: "%h" for half of the year as a decimal number as well as "%{n}f" for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat "%H~%M~%S.%2f" would display *09~15~23.46*By default the values are formatted using `xaxis.hoverformat`. xperiod Only relevant when the axis `type` is "date". Sets the period positioning in milliseconds or "M" on the x axis. Special values in the form of "M" could be used to declare the number of months. In this case `n` must be a positive integer. xperiod0 Only relevant when the axis `type` is "date". Sets the base for period positioning in milliseconds or date string on the x0 axis. When `x0period` is round number of weeks, the `x0period0` by default would be on a Sunday i.e. 2000-01-02, otherwise it would be at 2000-01-01. xperiodalignment Only relevant when the axis `type` is "date". Sets the alignment of data points on the x axis. xsrc Sets the source reference on Chart Studio Cloud for `x`. y Sets the y coordinates. y0 Alternate to `y`. Builds a linear space of y coordinates. Use with `dy` where `y0` is the starting coordinate and `dy` the step. yaxis Sets a reference between this trace's y coordinates and a 2D cartesian y axis. If "y" (the default value), the y coordinates refer to `layout.yaxis`. If "y2", the y coordinates refer to `layout.yaxis2`, and so on. yhoverformat Sets the hover text formatting rulefor `y` using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-format/tree/v1.4.5#d3-format. And for dates see: https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format. We add two items to d3's date formatter: "%h" for half of the year as a decimal number as well as "%{n}f" for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat "%H~%M~%S.%2f" would display *09~15~23.46*By default the values are formatted using `yaxis.hoverformat`. yperiod Only relevant when the axis `type` is "date". Sets the period positioning in milliseconds or "M" on the y axis. Special values in the form of "M" could be used to declare the number of months. In this case `n` must be a positive integer. yperiod0 Only relevant when the axis `type` is "date". Sets the base for period positioning in milliseconds or date string on the y0 axis. When `y0period` is round number of weeks, the `y0period0` by default would be on a Sunday i.e. 2000-01-02, otherwise it would be at 2000-01-01. yperiodalignment Only relevant when the axis `type` is "date". Sets the alignment of data points on the y axis. ysrc Sets the source reference on Chart Studio Cloud for `y`. zorder Sets the layer on which this trace is displayed, relative to other SVG traces on the same subplot. SVG traces with higher `zorder` appear in front of those with lower `zorder`. row : 'all', int or None (default) Subplot row index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all rows in the specified column(s). col : 'all', int or None (default) Subplot col index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all columns in the specified row(s). secondary_y: boolean or None (default None) If True, associate this trace with the secondary y-axis of the subplot at the specified row and col. Only valid if all of the following conditions are satisfied: * The figure was created using `plotly.subplots.make_subplots`. * The row and col arguments are not None * The subplot at the specified row and col has type xy (which is the default) and secondary_y True. These properties are specified in the specs argument to make_subplots. See the make_subplots docstring for more info. Returns ------- FigureWidget """ from plotly.graph_objs import Funnel new_trace = Funnel( alignmentgroup=alignmentgroup, cliponaxis=cliponaxis, connector=connector, constraintext=constraintext, customdata=customdata, customdatasrc=customdatasrc, dx=dx, dy=dy, hoverinfo=hoverinfo, hoverinfosrc=hoverinfosrc, hoverlabel=hoverlabel, hovertemplate=hovertemplate, hovertemplatesrc=hovertemplatesrc, hovertext=hovertext, hovertextsrc=hovertextsrc, ids=ids, idssrc=idssrc, insidetextanchor=insidetextanchor, insidetextfont=insidetextfont, legend=legend, legendgroup=legendgroup, legendgrouptitle=legendgrouptitle, legendrank=legendrank, legendwidth=legendwidth, marker=marker, meta=meta, metasrc=metasrc, name=name, offset=offset, offsetgroup=offsetgroup, opacity=opacity, orientation=orientation, outsidetextfont=outsidetextfont, selectedpoints=selectedpoints, showlegend=showlegend, stream=stream, text=text, textangle=textangle, textfont=textfont, textinfo=textinfo, textposition=textposition, textpositionsrc=textpositionsrc, textsrc=textsrc, texttemplate=texttemplate, texttemplatesrc=texttemplatesrc, uid=uid, uirevision=uirevision, visible=visible, width=width, x=x, x0=x0, xaxis=xaxis, xhoverformat=xhoverformat, xperiod=xperiod, xperiod0=xperiod0, xperiodalignment=xperiodalignment, xsrc=xsrc, y=y, y0=y0, yaxis=yaxis, yhoverformat=yhoverformat, yperiod=yperiod, yperiod0=yperiod0, yperiodalignment=yperiodalignment, ysrc=ysrc, zorder=zorder, **kwargs, ) return self.add_trace(new_trace, row=row, col=col, secondary_y=secondary_y) def add_funnelarea( self, aspectratio=None, baseratio=None, customdata=None, customdatasrc=None, dlabel=None, domain=None, hoverinfo=None, hoverinfosrc=None, hoverlabel=None, hovertemplate=None, hovertemplatesrc=None, hovertext=None, hovertextsrc=None, ids=None, idssrc=None, insidetextfont=None, label0=None, labels=None, labelssrc=None, legend=None, legendgroup=None, legendgrouptitle=None, legendrank=None, legendwidth=None, marker=None, meta=None, metasrc=None, name=None, opacity=None, scalegroup=None, showlegend=None, stream=None, text=None, textfont=None, textinfo=None, textposition=None, textpositionsrc=None, textsrc=None, texttemplate=None, texttemplatesrc=None, title=None, uid=None, uirevision=None, values=None, valuessrc=None, visible=None, row=None, col=None, **kwargs, ) -> "FigureWidget": """ Add a new Funnelarea trace Visualize stages in a process using area-encoded trapezoids. This trace can be used to show data in a part-to-whole representation similar to a "pie" trace, wherein each item appears in a single stage. See also the "funnel" trace type for a different approach to visualizing funnel data. Parameters ---------- aspectratio Sets the ratio between height and width baseratio Sets the ratio between bottom length and maximum top length. customdata Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, "scatter" traces also appends customdata items in the markers DOM elements customdatasrc Sets the source reference on Chart Studio Cloud for `customdata`. dlabel Sets the label step. See `label0` for more info. domain :class:`plotly.graph_objects.funnelarea.Domain` instance or dict with compatible properties hoverinfo Determines which trace information appear on hover. If `none` or `skip` are set, no information is displayed upon hovering. But, if `none` is set, click and hover events are still fired. hoverinfosrc Sets the source reference on Chart Studio Cloud for `hoverinfo`. hoverlabel :class:`plotly.graph_objects.funnelarea.Hoverlabel` instance or dict with compatible properties hovertemplate Template string used for rendering the information that appear on hover box. Note that this will override `hoverinfo`. Variables are inserted using %{variable}, for example "y: %{y}" as well as %{xother}, {%_xother}, {%_xother_}, {%xother_}. When showing info for several points, "xother" will be added to those with different x positions from the first point. An underscore before or after "(x|y)other" will add a space on that side, only when this field is shown. Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. The variables available in `hovertemplate` are the ones emitted as event data described at this link https://plotly.com/javascript/plotlyjs-events/#event- data. Additionally, every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. Finally, the template string has access to variables `label`, `color`, `value`, `text` and `percent`. Anything contained in tag `` is displayed in the secondary box, for example "{fullData.name}". To hide the secondary box completely, use an empty tag ``. hovertemplatesrc Sets the source reference on Chart Studio Cloud for `hovertemplate`. hovertext Sets hover text elements associated with each sector. If a single string, the same string appears for all data points. If an array of string, the items are mapped in order of this trace's sectors. To be seen, trace `hoverinfo` must contain a "text" flag. hovertextsrc Sets the source reference on Chart Studio Cloud for `hovertext`. ids Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type. idssrc Sets the source reference on Chart Studio Cloud for `ids`. insidetextfont Sets the font used for `textinfo` lying inside the sector. label0 Alternate to `labels`. Builds a numeric set of labels. Use with `dlabel` where `label0` is the starting label and `dlabel` the step. labels Sets the sector labels. If `labels` entries are duplicated, we sum associated `values` or simply count occurrences if `values` is not provided. For other array attributes (including color) we use the first non-empty entry among all occurrences of the label. labelssrc Sets the source reference on Chart Studio Cloud for `labels`. legend Sets the reference to a legend to show this trace in. References to these legends are "legend", "legend2", "legend3", etc. Settings for these legends are set in the layout, under `layout.legend`, `layout.legend2`, etc. legendgroup Sets the legend group for this trace. Traces and shapes part of the same legend group hide/show at the same time when toggling legend items. legendgrouptitle :class:`plotly.graph_objects.funnelarea.Legendgrouptitl e` instance or dict with compatible properties legendrank Sets the legend rank for this trace. Items and groups with smaller ranks are presented on top/left side while with "reversed" `legend.traceorder` they are on bottom/right side. The default legendrank is 1000, so that you can use ranks less than 1000 to place certain items before all unranked items, and ranks greater than 1000 to go after all unranked items. When having unranked or equal rank items shapes would be displayed after traces i.e. according to their order in data and layout. legendwidth Sets the width (in px or fraction) of the legend for this trace. marker :class:`plotly.graph_objects.funnelarea.Marker` instance or dict with compatible properties meta Assigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace `name`, graph, axis and colorbar `title.text`, annotation `text` `rangeselector`, `updatemenues` and `sliders` `label` text all support `meta`. To access the trace `meta` values in an attribute in the same trace, simply use `%{meta[i]}` where `i` is the index or key of the `meta` item in question. To access trace `meta` in layout attributes, use `%{data[n[.meta[i]}` where `i` is the index or key of the `meta` and `n` is the trace index. metasrc Sets the source reference on Chart Studio Cloud for `meta`. name Sets the trace name. The trace name appears as the legend item and on hover. opacity Sets the opacity of the trace. scalegroup If there are multiple funnelareas that should be sized according to their totals, link them by providing a non-empty group id here shared by every trace in the same group. showlegend Determines whether or not an item corresponding to this trace is shown in the legend. stream :class:`plotly.graph_objects.funnelarea.Stream` instance or dict with compatible properties text Sets text elements associated with each sector. If trace `textinfo` contains a "text" flag, these elements will be seen on the chart. If trace `hoverinfo` contains a "text" flag and "hovertext" is not set, these elements will be seen in the hover labels. textfont Sets the font used for `textinfo`. textinfo Determines which trace information appear on the graph. textposition Specifies the location of the `textinfo`. textpositionsrc Sets the source reference on Chart Studio Cloud for `textposition`. textsrc Sets the source reference on Chart Studio Cloud for `text`. texttemplate Template string used for rendering the information text that appear on points. Note that this will override `textinfo`. Variables are inserted using %{variable}, for example "y: %{y}". Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. Every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. Finally, the template string has access to variables `label`, `color`, `value`, `text` and `percent`. texttemplatesrc Sets the source reference on Chart Studio Cloud for `texttemplate`. title :class:`plotly.graph_objects.funnelarea.Title` instance or dict with compatible properties uid Assign an id to this trace, Use this to provide object constancy between traces during animations and transitions. uirevision Controls persistence of some user-driven changes to the trace: `constraintrange` in `parcoords` traces, as well as some `editable: true` modifications such as `name` and `colorbar.title`. Defaults to `layout.uirevision`. Note that other user-driven trace attribute changes are controlled by `layout` attributes: `trace.visible` is controlled by `layout.legend.uirevision`, `selectedpoints` is controlled by `layout.selectionrevision`, and `colorbar.(x|y)` (accessible with `config: {editable: true}`) is controlled by `layout.editrevision`. Trace changes are tracked by `uid`, which only falls back on trace index if no `uid` is provided. So if your app can add/remove traces before the end of the `data` array, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace a `uid` that stays with it as it moves. values Sets the values of the sectors. If omitted, we count occurrences of each label. valuessrc Sets the source reference on Chart Studio Cloud for `values`. visible Determines whether or not this trace is visible. If "legendonly", the trace is not drawn, but can appear as a legend item (provided that the legend itself is visible). row : 'all', int or None (default) Subplot row index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all rows in the specified column(s). col : 'all', int or None (default) Subplot col index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all columns in the specified row(s). Returns ------- FigureWidget """ from plotly.graph_objs import Funnelarea new_trace = Funnelarea( aspectratio=aspectratio, baseratio=baseratio, customdata=customdata, customdatasrc=customdatasrc, dlabel=dlabel, domain=domain, hoverinfo=hoverinfo, hoverinfosrc=hoverinfosrc, hoverlabel=hoverlabel, hovertemplate=hovertemplate, hovertemplatesrc=hovertemplatesrc, hovertext=hovertext, hovertextsrc=hovertextsrc, ids=ids, idssrc=idssrc, insidetextfont=insidetextfont, label0=label0, labels=labels, labelssrc=labelssrc, legend=legend, legendgroup=legendgroup, legendgrouptitle=legendgrouptitle, legendrank=legendrank, legendwidth=legendwidth, marker=marker, meta=meta, metasrc=metasrc, name=name, opacity=opacity, scalegroup=scalegroup, showlegend=showlegend, stream=stream, text=text, textfont=textfont, textinfo=textinfo, textposition=textposition, textpositionsrc=textpositionsrc, textsrc=textsrc, texttemplate=texttemplate, texttemplatesrc=texttemplatesrc, title=title, uid=uid, uirevision=uirevision, values=values, valuessrc=valuessrc, visible=visible, **kwargs, ) return self.add_trace(new_trace, row=row, col=col) def add_heatmap( self, autocolorscale=None, coloraxis=None, colorbar=None, colorscale=None, connectgaps=None, customdata=None, customdatasrc=None, dx=None, dy=None, hoverinfo=None, hoverinfosrc=None, hoverlabel=None, hoverongaps=None, hovertemplate=None, hovertemplatesrc=None, hovertext=None, hovertextsrc=None, ids=None, idssrc=None, legend=None, legendgroup=None, legendgrouptitle=None, legendrank=None, legendwidth=None, meta=None, metasrc=None, name=None, opacity=None, reversescale=None, showlegend=None, showscale=None, stream=None, text=None, textfont=None, textsrc=None, texttemplate=None, transpose=None, uid=None, uirevision=None, visible=None, x=None, x0=None, xaxis=None, xcalendar=None, xgap=None, xhoverformat=None, xperiod=None, xperiod0=None, xperiodalignment=None, xsrc=None, xtype=None, y=None, y0=None, yaxis=None, ycalendar=None, ygap=None, yhoverformat=None, yperiod=None, yperiod0=None, yperiodalignment=None, ysrc=None, ytype=None, z=None, zauto=None, zhoverformat=None, zmax=None, zmid=None, zmin=None, zorder=None, zsmooth=None, zsrc=None, row=None, col=None, secondary_y=None, **kwargs, ) -> "FigureWidget": """ Add a new Heatmap trace The data that describes the heatmap value-to-color mapping is set in `z`. Data in `z` can either be a 2D list of values (ragged or not) or a 1D array of values. In the case where `z` is a 2D list, say that `z` has N rows and M columns. Then, by default, the resulting heatmap will have N partitions along the y axis and M partitions along the x axis. In other words, the i-th row/ j-th column cell in `z` is mapped to the i-th partition of the y axis (starting from the bottom of the plot) and the j-th partition of the x-axis (starting from the left of the plot). This behavior can be flipped by using `transpose`. Moreover, `x` (`y`) can be provided with M or M+1 (N or N+1) elements. If M (N), then the coordinates correspond to the center of the heatmap cells and the cells have equal width. If M+1 (N+1), then the coordinates correspond to the edges of the heatmap cells. In the case where `z` is a 1D list, the x and y coordinates must be provided in `x` and `y` respectively to form data triplets. Parameters ---------- autocolorscale Determines whether the colorscale is a default palette (`autocolorscale: true`) or the palette determined by `colorscale`. In case `colorscale` is unspecified or `autocolorscale` is true, the default palette will be chosen according to whether numbers in the `color` array are all positive, all negative or mixed. coloraxis Sets a reference to a shared color axis. References to these shared color axes are "coloraxis", "coloraxis2", "coloraxis3", etc. Settings for these shared color axes are set in the layout, under `layout.coloraxis`, `layout.coloraxis2`, etc. Note that multiple color scales can be linked to the same color axis. colorbar :class:`plotly.graph_objects.heatmap.ColorBar` instance or dict with compatible properties colorscale Sets the colorscale. The colorscale must be an array containing arrays mapping a normalized value to an rgb, rgba, hex, hsl, hsv, or named color string. At minimum, a mapping for the lowest (0) and highest (1) values are required. For example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the bounds of the colorscale in color space, use `zmin` and `zmax`. Alternatively, `colorscale` may be a palette name string of the following list: Blackbody,Bluered,Blues,C ividis,Earth,Electric,Greens,Greys,Hot,Jet,Picnic,Portl and,Rainbow,RdBu,Reds,Viridis,YlGnBu,YlOrRd. connectgaps Determines whether or not gaps (i.e. {nan} or missing values) in the `z` data are filled in. It is defaulted to true if `z` is a one dimensional array and `zsmooth` is not false; otherwise it is defaulted to false. customdata Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, "scatter" traces also appends customdata items in the markers DOM elements customdatasrc Sets the source reference on Chart Studio Cloud for `customdata`. dx Sets the x coordinate step. See `x0` for more info. dy Sets the y coordinate step. See `y0` for more info. hoverinfo Determines which trace information appear on hover. If `none` or `skip` are set, no information is displayed upon hovering. But, if `none` is set, click and hover events are still fired. hoverinfosrc Sets the source reference on Chart Studio Cloud for `hoverinfo`. hoverlabel :class:`plotly.graph_objects.heatmap.Hoverlabel` instance or dict with compatible properties hoverongaps Determines whether or not gaps (i.e. {nan} or missing values) in the `z` data have hover labels associated with them. hovertemplate Template string used for rendering the information that appear on hover box. Note that this will override `hoverinfo`. Variables are inserted using %{variable}, for example "y: %{y}" as well as %{xother}, {%_xother}, {%_xother_}, {%xother_}. When showing info for several points, "xother" will be added to those with different x positions from the first point. An underscore before or after "(x|y)other" will add a space on that side, only when this field is shown. Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. The variables available in `hovertemplate` are the ones emitted as event data described at this link https://plotly.com/javascript/plotlyjs-events/#event- data. Additionally, every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. Anything contained in tag `` is displayed in the secondary box, for example "{fullData.name}". To hide the secondary box completely, use an empty tag ``. hovertemplatesrc Sets the source reference on Chart Studio Cloud for `hovertemplate`. hovertext Same as `text`. hovertextsrc Sets the source reference on Chart Studio Cloud for `hovertext`. ids Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type. idssrc Sets the source reference on Chart Studio Cloud for `ids`. legend Sets the reference to a legend to show this trace in. References to these legends are "legend", "legend2", "legend3", etc. Settings for these legends are set in the layout, under `layout.legend`, `layout.legend2`, etc. legendgroup Sets the legend group for this trace. Traces and shapes part of the same legend group hide/show at the same time when toggling legend items. legendgrouptitle :class:`plotly.graph_objects.heatmap.Legendgrouptitle` instance or dict with compatible properties legendrank Sets the legend rank for this trace. Items and groups with smaller ranks are presented on top/left side while with "reversed" `legend.traceorder` they are on bottom/right side. The default legendrank is 1000, so that you can use ranks less than 1000 to place certain items before all unranked items, and ranks greater than 1000 to go after all unranked items. When having unranked or equal rank items shapes would be displayed after traces i.e. according to their order in data and layout. legendwidth Sets the width (in px or fraction) of the legend for this trace. meta Assigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace `name`, graph, axis and colorbar `title.text`, annotation `text` `rangeselector`, `updatemenues` and `sliders` `label` text all support `meta`. To access the trace `meta` values in an attribute in the same trace, simply use `%{meta[i]}` where `i` is the index or key of the `meta` item in question. To access trace `meta` in layout attributes, use `%{data[n[.meta[i]}` where `i` is the index or key of the `meta` and `n` is the trace index. metasrc Sets the source reference on Chart Studio Cloud for `meta`. name Sets the trace name. The trace name appears as the legend item and on hover. opacity Sets the opacity of the trace. reversescale Reverses the color mapping if true. If true, `zmin` will correspond to the last color in the array and `zmax` will correspond to the first color. showlegend Determines whether or not an item corresponding to this trace is shown in the legend. showscale Determines whether or not a colorbar is displayed for this trace. stream :class:`plotly.graph_objects.heatmap.Stream` instance or dict with compatible properties text Sets the text elements associated with each z value. textfont Sets the text font. textsrc Sets the source reference on Chart Studio Cloud for `text`. texttemplate Template string used for rendering the information text that appear on points. Note that this will override `textinfo`. Variables are inserted using %{variable}, for example "y: %{y}". Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. Every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. Finally, the template string has access to variables `x`, `y`, `z` and `text`. transpose Transposes the z data. uid Assign an id to this trace, Use this to provide object constancy between traces during animations and transitions. uirevision Controls persistence of some user-driven changes to the trace: `constraintrange` in `parcoords` traces, as well as some `editable: true` modifications such as `name` and `colorbar.title`. Defaults to `layout.uirevision`. Note that other user-driven trace attribute changes are controlled by `layout` attributes: `trace.visible` is controlled by `layout.legend.uirevision`, `selectedpoints` is controlled by `layout.selectionrevision`, and `colorbar.(x|y)` (accessible with `config: {editable: true}`) is controlled by `layout.editrevision`. Trace changes are tracked by `uid`, which only falls back on trace index if no `uid` is provided. So if your app can add/remove traces before the end of the `data` array, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace a `uid` that stays with it as it moves. visible Determines whether or not this trace is visible. If "legendonly", the trace is not drawn, but can appear as a legend item (provided that the legend itself is visible). x Sets the x coordinates. x0 Alternate to `x`. Builds a linear space of x coordinates. Use with `dx` where `x0` is the starting coordinate and `dx` the step. xaxis Sets a reference between this trace's x coordinates and a 2D cartesian x axis. If "x" (the default value), the x coordinates refer to `layout.xaxis`. If "x2", the x coordinates refer to `layout.xaxis2`, and so on. xcalendar Sets the calendar system to use with `x` date data. xgap Sets the horizontal gap (in pixels) between bricks. xhoverformat Sets the hover text formatting rulefor `x` using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-format/tree/v1.4.5#d3-format. And for dates see: https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format. We add two items to d3's date formatter: "%h" for half of the year as a decimal number as well as "%{n}f" for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat "%H~%M~%S.%2f" would display *09~15~23.46*By default the values are formatted using `xaxis.hoverformat`. xperiod Only relevant when the axis `type` is "date". Sets the period positioning in milliseconds or "M" on the x axis. Special values in the form of "M" could be used to declare the number of months. In this case `n` must be a positive integer. xperiod0 Only relevant when the axis `type` is "date". Sets the base for period positioning in milliseconds or date string on the x0 axis. When `x0period` is round number of weeks, the `x0period0` by default would be on a Sunday i.e. 2000-01-02, otherwise it would be at 2000-01-01. xperiodalignment Only relevant when the axis `type` is "date". Sets the alignment of data points on the x axis. xsrc Sets the source reference on Chart Studio Cloud for `x`. xtype If "array", the heatmap's x coordinates are given by "x" (the default behavior when `x` is provided). If "scaled", the heatmap's x coordinates are given by "x0" and "dx" (the default behavior when `x` is not provided). y Sets the y coordinates. y0 Alternate to `y`. Builds a linear space of y coordinates. Use with `dy` where `y0` is the starting coordinate and `dy` the step. yaxis Sets a reference between this trace's y coordinates and a 2D cartesian y axis. If "y" (the default value), the y coordinates refer to `layout.yaxis`. If "y2", the y coordinates refer to `layout.yaxis2`, and so on. ycalendar Sets the calendar system to use with `y` date data. ygap Sets the vertical gap (in pixels) between bricks. yhoverformat Sets the hover text formatting rulefor `y` using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-format/tree/v1.4.5#d3-format. And for dates see: https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format. We add two items to d3's date formatter: "%h" for half of the year as a decimal number as well as "%{n}f" for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat "%H~%M~%S.%2f" would display *09~15~23.46*By default the values are formatted using `yaxis.hoverformat`. yperiod Only relevant when the axis `type` is "date". Sets the period positioning in milliseconds or "M" on the y axis. Special values in the form of "M" could be used to declare the number of months. In this case `n` must be a positive integer. yperiod0 Only relevant when the axis `type` is "date". Sets the base for period positioning in milliseconds or date string on the y0 axis. When `y0period` is round number of weeks, the `y0period0` by default would be on a Sunday i.e. 2000-01-02, otherwise it would be at 2000-01-01. yperiodalignment Only relevant when the axis `type` is "date". Sets the alignment of data points on the y axis. ysrc Sets the source reference on Chart Studio Cloud for `y`. ytype If "array", the heatmap's y coordinates are given by "y" (the default behavior when `y` is provided) If "scaled", the heatmap's y coordinates are given by "y0" and "dy" (the default behavior when `y` is not provided) z Sets the z data. zauto Determines whether or not the color domain is computed with respect to the input data (here in `z`) or the bounds set in `zmin` and `zmax` Defaults to `false` when `zmin` and `zmax` are set by the user. zhoverformat Sets the hover text formatting rulefor `z` using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d 3/d3-format/tree/v1.4.5#d3-format.By default the values are formatted using generic number format. zmax Sets the upper bound of the color domain. Value should have the same units as in `z` and if set, `zmin` must be set as well. zmid Sets the mid-point of the color domain by scaling `zmin` and/or `zmax` to be equidistant to this point. Value should have the same units as in `z`. Has no effect when `zauto` is `false`. zmin Sets the lower bound of the color domain. Value should have the same units as in `z` and if set, `zmax` must be set as well. zorder Sets the layer on which this trace is displayed, relative to other SVG traces on the same subplot. SVG traces with higher `zorder` appear in front of those with lower `zorder`. zsmooth Picks a smoothing algorithm use to smooth `z` data. zsrc Sets the source reference on Chart Studio Cloud for `z`. row : 'all', int or None (default) Subplot row index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all rows in the specified column(s). col : 'all', int or None (default) Subplot col index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all columns in the specified row(s). secondary_y: boolean or None (default None) If True, associate this trace with the secondary y-axis of the subplot at the specified row and col. Only valid if all of the following conditions are satisfied: * The figure was created using `plotly.subplots.make_subplots`. * The row and col arguments are not None * The subplot at the specified row and col has type xy (which is the default) and secondary_y True. These properties are specified in the specs argument to make_subplots. See the make_subplots docstring for more info. Returns ------- FigureWidget """ from plotly.graph_objs import Heatmap new_trace = Heatmap( autocolorscale=autocolorscale, coloraxis=coloraxis, colorbar=colorbar, colorscale=colorscale, connectgaps=connectgaps, customdata=customdata, customdatasrc=customdatasrc, dx=dx, dy=dy, hoverinfo=hoverinfo, hoverinfosrc=hoverinfosrc, hoverlabel=hoverlabel, hoverongaps=hoverongaps, hovertemplate=hovertemplate, hovertemplatesrc=hovertemplatesrc, hovertext=hovertext, hovertextsrc=hovertextsrc, ids=ids, idssrc=idssrc, legend=legend, legendgroup=legendgroup, legendgrouptitle=legendgrouptitle, legendrank=legendrank, legendwidth=legendwidth, meta=meta, metasrc=metasrc, name=name, opacity=opacity, reversescale=reversescale, showlegend=showlegend, showscale=showscale, stream=stream, text=text, textfont=textfont, textsrc=textsrc, texttemplate=texttemplate, transpose=transpose, uid=uid, uirevision=uirevision, visible=visible, x=x, x0=x0, xaxis=xaxis, xcalendar=xcalendar, xgap=xgap, xhoverformat=xhoverformat, xperiod=xperiod, xperiod0=xperiod0, xperiodalignment=xperiodalignment, xsrc=xsrc, xtype=xtype, y=y, y0=y0, yaxis=yaxis, ycalendar=ycalendar, ygap=ygap, yhoverformat=yhoverformat, yperiod=yperiod, yperiod0=yperiod0, yperiodalignment=yperiodalignment, ysrc=ysrc, ytype=ytype, z=z, zauto=zauto, zhoverformat=zhoverformat, zmax=zmax, zmid=zmid, zmin=zmin, zorder=zorder, zsmooth=zsmooth, zsrc=zsrc, **kwargs, ) return self.add_trace(new_trace, row=row, col=col, secondary_y=secondary_y) def add_histogram( self, alignmentgroup=None, autobinx=None, autobiny=None, bingroup=None, cliponaxis=None, constraintext=None, cumulative=None, customdata=None, customdatasrc=None, error_x=None, error_y=None, histfunc=None, histnorm=None, hoverinfo=None, hoverinfosrc=None, hoverlabel=None, hovertemplate=None, hovertemplatesrc=None, hovertext=None, hovertextsrc=None, ids=None, idssrc=None, insidetextanchor=None, insidetextfont=None, legend=None, legendgroup=None, legendgrouptitle=None, legendrank=None, legendwidth=None, marker=None, meta=None, metasrc=None, name=None, nbinsx=None, nbinsy=None, offsetgroup=None, opacity=None, orientation=None, outsidetextfont=None, selected=None, selectedpoints=None, showlegend=None, stream=None, text=None, textangle=None, textfont=None, textposition=None, textsrc=None, texttemplate=None, uid=None, uirevision=None, unselected=None, visible=None, x=None, xaxis=None, xbins=None, xcalendar=None, xhoverformat=None, xsrc=None, y=None, yaxis=None, ybins=None, ycalendar=None, yhoverformat=None, ysrc=None, zorder=None, row=None, col=None, secondary_y=None, **kwargs, ) -> "FigureWidget": """ Add a new Histogram trace The sample data from which statistics are computed is set in `x` for vertically spanning histograms and in `y` for horizontally spanning histograms. Binning options are set `xbins` and `ybins` respectively if no aggregation data is provided. Parameters ---------- alignmentgroup Set several traces linked to the same position axis or matching axes to the same alignmentgroup. This controls whether bars compute their positional range dependently or independently. autobinx Obsolete: since v1.42 each bin attribute is auto- determined separately and `autobinx` is not needed. However, we accept `autobinx: true` or `false` and will update `xbins` accordingly before deleting `autobinx` from the trace. autobiny Obsolete: since v1.42 each bin attribute is auto- determined separately and `autobiny` is not needed. However, we accept `autobiny: true` or `false` and will update `ybins` accordingly before deleting `autobiny` from the trace. bingroup Set a group of histogram traces which will have compatible bin settings. Note that traces on the same subplot and with the same "orientation" under `barmode` "stack", "relative" and "group" are forced into the same bingroup, Using `bingroup`, traces under `barmode` "overlay" and on different axes (of the same axis type) can have compatible bin settings. Note that histogram and histogram2d* trace can share the same `bingroup` cliponaxis Determines whether the text nodes are clipped about the subplot axes. To show the text nodes above axis lines and tick labels, make sure to set `xaxis.layer` and `yaxis.layer` to *below traces*. constraintext Constrain the size of text inside or outside a bar to be no larger than the bar itself. cumulative :class:`plotly.graph_objects.histogram.Cumulative` instance or dict with compatible properties customdata Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, "scatter" traces also appends customdata items in the markers DOM elements customdatasrc Sets the source reference on Chart Studio Cloud for `customdata`. error_x :class:`plotly.graph_objects.histogram.ErrorX` instance or dict with compatible properties error_y :class:`plotly.graph_objects.histogram.ErrorY` instance or dict with compatible properties histfunc Specifies the binning function used for this histogram trace. If "count", the histogram values are computed by counting the number of values lying inside each bin. If "sum", "avg", "min", "max", the histogram values are computed using the sum, the average, the minimum or the maximum of the values lying inside each bin respectively. histnorm Specifies the type of normalization used for this histogram trace. If "", the span of each bar corresponds to the number of occurrences (i.e. the number of data points lying inside the bins). If "percent" / "probability", the span of each bar corresponds to the percentage / fraction of occurrences with respect to the total number of sample points (here, the sum of all bin HEIGHTS equals 100% / 1). If "density", the span of each bar corresponds to the number of occurrences in a bin divided by the size of the bin interval (here, the sum of all bin AREAS equals the total number of sample points). If *probability density*, the area of each bar corresponds to the probability that an event will fall into the corresponding bin (here, the sum of all bin AREAS equals 1). hoverinfo Determines which trace information appear on hover. If `none` or `skip` are set, no information is displayed upon hovering. But, if `none` is set, click and hover events are still fired. hoverinfosrc Sets the source reference on Chart Studio Cloud for `hoverinfo`. hoverlabel :class:`plotly.graph_objects.histogram.Hoverlabel` instance or dict with compatible properties hovertemplate Template string used for rendering the information that appear on hover box. Note that this will override `hoverinfo`. Variables are inserted using %{variable}, for example "y: %{y}" as well as %{xother}, {%_xother}, {%_xother_}, {%xother_}. When showing info for several points, "xother" will be added to those with different x positions from the first point. An underscore before or after "(x|y)other" will add a space on that side, only when this field is shown. Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. The variables available in `hovertemplate` are the ones emitted as event data described at this link https://plotly.com/javascript/plotlyjs-events/#event- data. Additionally, every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. Finally, the template string has access to variable `binNumber` Anything contained in tag `` is displayed in the secondary box, for example "{fullData.name}". To hide the secondary box completely, use an empty tag ``. hovertemplatesrc Sets the source reference on Chart Studio Cloud for `hovertemplate`. hovertext Same as `text`. hovertextsrc Sets the source reference on Chart Studio Cloud for `hovertext`. ids Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type. idssrc Sets the source reference on Chart Studio Cloud for `ids`. insidetextanchor Determines if texts are kept at center or start/end points in `textposition` "inside" mode. insidetextfont Sets the font used for `text` lying inside the bar. legend Sets the reference to a legend to show this trace in. References to these legends are "legend", "legend2", "legend3", etc. Settings for these legends are set in the layout, under `layout.legend`, `layout.legend2`, etc. legendgroup Sets the legend group for this trace. Traces and shapes part of the same legend group hide/show at the same time when toggling legend items. legendgrouptitle :class:`plotly.graph_objects.histogram.Legendgrouptitle ` instance or dict with compatible properties legendrank Sets the legend rank for this trace. Items and groups with smaller ranks are presented on top/left side while with "reversed" `legend.traceorder` they are on bottom/right side. The default legendrank is 1000, so that you can use ranks less than 1000 to place certain items before all unranked items, and ranks greater than 1000 to go after all unranked items. When having unranked or equal rank items shapes would be displayed after traces i.e. according to their order in data and layout. legendwidth Sets the width (in px or fraction) of the legend for this trace. marker :class:`plotly.graph_objects.histogram.Marker` instance or dict with compatible properties meta Assigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace `name`, graph, axis and colorbar `title.text`, annotation `text` `rangeselector`, `updatemenues` and `sliders` `label` text all support `meta`. To access the trace `meta` values in an attribute in the same trace, simply use `%{meta[i]}` where `i` is the index or key of the `meta` item in question. To access trace `meta` in layout attributes, use `%{data[n[.meta[i]}` where `i` is the index or key of the `meta` and `n` is the trace index. metasrc Sets the source reference on Chart Studio Cloud for `meta`. name Sets the trace name. The trace name appears as the legend item and on hover. nbinsx Specifies the maximum number of desired bins. This value will be used in an algorithm that will decide the optimal bin size such that the histogram best visualizes the distribution of the data. Ignored if `xbins.size` is provided. nbinsy Specifies the maximum number of desired bins. This value will be used in an algorithm that will decide the optimal bin size such that the histogram best visualizes the distribution of the data. Ignored if `ybins.size` is provided. offsetgroup Set several traces linked to the same position axis or matching axes to the same offsetgroup where bars of the same position coordinate will line up. opacity Sets the opacity of the trace. orientation Sets the orientation of the bars. With "v" ("h"), the value of the each bar spans along the vertical (horizontal). outsidetextfont Sets the font used for `text` lying outside the bar. selected :class:`plotly.graph_objects.histogram.Selected` instance or dict with compatible properties selectedpoints Array containing integer indices of selected points. Has an effect only for traces that support selections. Note that an empty array means an empty selection where the `unselected` are turned on for all points, whereas, any other non-array values means no selection all where the `selected` and `unselected` styles have no effect. showlegend Determines whether or not an item corresponding to this trace is shown in the legend. stream :class:`plotly.graph_objects.histogram.Stream` instance or dict with compatible properties text Sets hover text elements associated with each bar. If a single string, the same string appears over all bars. If an array of string, the items are mapped in order to the this trace's coordinates. textangle Sets the angle of the tick labels with respect to the bar. For example, a `tickangle` of -90 draws the tick labels vertically. With "auto" the texts may automatically be rotated to fit with the maximum size in bars. textfont Sets the text font. textposition Specifies the location of the `text`. "inside" positions `text` inside, next to the bar end (rotated and scaled if needed). "outside" positions `text` outside, next to the bar end (scaled if needed), unless there is another bar stacked on this one, then the text gets pushed inside. "auto" tries to position `text` inside the bar, but if the bar is too small and no bar is stacked on this one the text is moved outside. If "none", no text appears. textsrc Sets the source reference on Chart Studio Cloud for `text`. texttemplate Template string used for rendering the information text that appear on points. Note that this will override `textinfo`. Variables are inserted using %{variable}, for example "y: %{y}". Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. Every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. Finally, the template string has access to variables `label` and `value`. uid Assign an id to this trace, Use this to provide object constancy between traces during animations and transitions. uirevision Controls persistence of some user-driven changes to the trace: `constraintrange` in `parcoords` traces, as well as some `editable: true` modifications such as `name` and `colorbar.title`. Defaults to `layout.uirevision`. Note that other user-driven trace attribute changes are controlled by `layout` attributes: `trace.visible` is controlled by `layout.legend.uirevision`, `selectedpoints` is controlled by `layout.selectionrevision`, and `colorbar.(x|y)` (accessible with `config: {editable: true}`) is controlled by `layout.editrevision`. Trace changes are tracked by `uid`, which only falls back on trace index if no `uid` is provided. So if your app can add/remove traces before the end of the `data` array, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace a `uid` that stays with it as it moves. unselected :class:`plotly.graph_objects.histogram.Unselected` instance or dict with compatible properties visible Determines whether or not this trace is visible. If "legendonly", the trace is not drawn, but can appear as a legend item (provided that the legend itself is visible). x Sets the sample data to be binned on the x axis. xaxis Sets a reference between this trace's x coordinates and a 2D cartesian x axis. If "x" (the default value), the x coordinates refer to `layout.xaxis`. If "x2", the x coordinates refer to `layout.xaxis2`, and so on. xbins :class:`plotly.graph_objects.histogram.XBins` instance or dict with compatible properties xcalendar Sets the calendar system to use with `x` date data. xhoverformat Sets the hover text formatting rulefor `x` using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-format/tree/v1.4.5#d3-format. And for dates see: https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format. We add two items to d3's date formatter: "%h" for half of the year as a decimal number as well as "%{n}f" for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat "%H~%M~%S.%2f" would display *09~15~23.46*By default the values are formatted using `xaxis.hoverformat`. xsrc Sets the source reference on Chart Studio Cloud for `x`. y Sets the sample data to be binned on the y axis. yaxis Sets a reference between this trace's y coordinates and a 2D cartesian y axis. If "y" (the default value), the y coordinates refer to `layout.yaxis`. If "y2", the y coordinates refer to `layout.yaxis2`, and so on. ybins :class:`plotly.graph_objects.histogram.YBins` instance or dict with compatible properties ycalendar Sets the calendar system to use with `y` date data. yhoverformat Sets the hover text formatting rulefor `y` using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-format/tree/v1.4.5#d3-format. And for dates see: https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format. We add two items to d3's date formatter: "%h" for half of the year as a decimal number as well as "%{n}f" for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat "%H~%M~%S.%2f" would display *09~15~23.46*By default the values are formatted using `yaxis.hoverformat`. ysrc Sets the source reference on Chart Studio Cloud for `y`. zorder Sets the layer on which this trace is displayed, relative to other SVG traces on the same subplot. SVG traces with higher `zorder` appear in front of those with lower `zorder`. row : 'all', int or None (default) Subplot row index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all rows in the specified column(s). col : 'all', int or None (default) Subplot col index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all columns in the specified row(s). secondary_y: boolean or None (default None) If True, associate this trace with the secondary y-axis of the subplot at the specified row and col. Only valid if all of the following conditions are satisfied: * The figure was created using `plotly.subplots.make_subplots`. * The row and col arguments are not None * The subplot at the specified row and col has type xy (which is the default) and secondary_y True. These properties are specified in the specs argument to make_subplots. See the make_subplots docstring for more info. Returns ------- FigureWidget """ from plotly.graph_objs import Histogram new_trace = Histogram( alignmentgroup=alignmentgroup, autobinx=autobinx, autobiny=autobiny, bingroup=bingroup, cliponaxis=cliponaxis, constraintext=constraintext, cumulative=cumulative, customdata=customdata, customdatasrc=customdatasrc, error_x=error_x, error_y=error_y, histfunc=histfunc, histnorm=histnorm, hoverinfo=hoverinfo, hoverinfosrc=hoverinfosrc, hoverlabel=hoverlabel, hovertemplate=hovertemplate, hovertemplatesrc=hovertemplatesrc, hovertext=hovertext, hovertextsrc=hovertextsrc, ids=ids, idssrc=idssrc, insidetextanchor=insidetextanchor, insidetextfont=insidetextfont, legend=legend, legendgroup=legendgroup, legendgrouptitle=legendgrouptitle, legendrank=legendrank, legendwidth=legendwidth, marker=marker, meta=meta, metasrc=metasrc, name=name, nbinsx=nbinsx, nbinsy=nbinsy, offsetgroup=offsetgroup, opacity=opacity, orientation=orientation, outsidetextfont=outsidetextfont, selected=selected, selectedpoints=selectedpoints, showlegend=showlegend, stream=stream, text=text, textangle=textangle, textfont=textfont, textposition=textposition, textsrc=textsrc, texttemplate=texttemplate, uid=uid, uirevision=uirevision, unselected=unselected, visible=visible, x=x, xaxis=xaxis, xbins=xbins, xcalendar=xcalendar, xhoverformat=xhoverformat, xsrc=xsrc, y=y, yaxis=yaxis, ybins=ybins, ycalendar=ycalendar, yhoverformat=yhoverformat, ysrc=ysrc, zorder=zorder, **kwargs, ) return self.add_trace(new_trace, row=row, col=col, secondary_y=secondary_y) def add_histogram2d( self, autobinx=None, autobiny=None, autocolorscale=None, bingroup=None, coloraxis=None, colorbar=None, colorscale=None, customdata=None, customdatasrc=None, histfunc=None, histnorm=None, hoverinfo=None, hoverinfosrc=None, hoverlabel=None, hovertemplate=None, hovertemplatesrc=None, ids=None, idssrc=None, legend=None, legendgroup=None, legendgrouptitle=None, legendrank=None, legendwidth=None, marker=None, meta=None, metasrc=None, name=None, nbinsx=None, nbinsy=None, opacity=None, reversescale=None, showlegend=None, showscale=None, stream=None, textfont=None, texttemplate=None, uid=None, uirevision=None, visible=None, x=None, xaxis=None, xbingroup=None, xbins=None, xcalendar=None, xgap=None, xhoverformat=None, xsrc=None, y=None, yaxis=None, ybingroup=None, ybins=None, ycalendar=None, ygap=None, yhoverformat=None, ysrc=None, z=None, zauto=None, zhoverformat=None, zmax=None, zmid=None, zmin=None, zsmooth=None, zsrc=None, row=None, col=None, secondary_y=None, **kwargs, ) -> "FigureWidget": """ Add a new Histogram2d trace The sample data from which statistics are computed is set in `x` and `y` (where `x` and `y` represent marginal distributions, binning is set in `xbins` and `ybins` in this case) or `z` (where `z` represent the 2D distribution and binning set, binning is set by `x` and `y` in this case). The resulting distribution is visualized as a heatmap. Parameters ---------- autobinx Obsolete: since v1.42 each bin attribute is auto- determined separately and `autobinx` is not needed. However, we accept `autobinx: true` or `false` and will update `xbins` accordingly before deleting `autobinx` from the trace. autobiny Obsolete: since v1.42 each bin attribute is auto- determined separately and `autobiny` is not needed. However, we accept `autobiny: true` or `false` and will update `ybins` accordingly before deleting `autobiny` from the trace. autocolorscale Determines whether the colorscale is a default palette (`autocolorscale: true`) or the palette determined by `colorscale`. In case `colorscale` is unspecified or `autocolorscale` is true, the default palette will be chosen according to whether numbers in the `color` array are all positive, all negative or mixed. bingroup Set the `xbingroup` and `ybingroup` default prefix For example, setting a `bingroup` of 1 on two histogram2d traces will make them their x-bins and y-bins match separately. coloraxis Sets a reference to a shared color axis. References to these shared color axes are "coloraxis", "coloraxis2", "coloraxis3", etc. Settings for these shared color axes are set in the layout, under `layout.coloraxis`, `layout.coloraxis2`, etc. Note that multiple color scales can be linked to the same color axis. colorbar :class:`plotly.graph_objects.histogram2d.ColorBar` instance or dict with compatible properties colorscale Sets the colorscale. The colorscale must be an array containing arrays mapping a normalized value to an rgb, rgba, hex, hsl, hsv, or named color string. At minimum, a mapping for the lowest (0) and highest (1) values are required. For example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the bounds of the colorscale in color space, use `zmin` and `zmax`. Alternatively, `colorscale` may be a palette name string of the following list: Blackbody,Bluered,Blues,C ividis,Earth,Electric,Greens,Greys,Hot,Jet,Picnic,Portl and,Rainbow,RdBu,Reds,Viridis,YlGnBu,YlOrRd. customdata Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, "scatter" traces also appends customdata items in the markers DOM elements customdatasrc Sets the source reference on Chart Studio Cloud for `customdata`. histfunc Specifies the binning function used for this histogram trace. If "count", the histogram values are computed by counting the number of values lying inside each bin. If "sum", "avg", "min", "max", the histogram values are computed using the sum, the average, the minimum or the maximum of the values lying inside each bin respectively. histnorm Specifies the type of normalization used for this histogram trace. If "", the span of each bar corresponds to the number of occurrences (i.e. the number of data points lying inside the bins). If "percent" / "probability", the span of each bar corresponds to the percentage / fraction of occurrences with respect to the total number of sample points (here, the sum of all bin HEIGHTS equals 100% / 1). If "density", the span of each bar corresponds to the number of occurrences in a bin divided by the size of the bin interval (here, the sum of all bin AREAS equals the total number of sample points). If *probability density*, the area of each bar corresponds to the probability that an event will fall into the corresponding bin (here, the sum of all bin AREAS equals 1). hoverinfo Determines which trace information appear on hover. If `none` or `skip` are set, no information is displayed upon hovering. But, if `none` is set, click and hover events are still fired. hoverinfosrc Sets the source reference on Chart Studio Cloud for `hoverinfo`. hoverlabel :class:`plotly.graph_objects.histogram2d.Hoverlabel` instance or dict with compatible properties hovertemplate Template string used for rendering the information that appear on hover box. Note that this will override `hoverinfo`. Variables are inserted using %{variable}, for example "y: %{y}" as well as %{xother}, {%_xother}, {%_xother_}, {%xother_}. When showing info for several points, "xother" will be added to those with different x positions from the first point. An underscore before or after "(x|y)other" will add a space on that side, only when this field is shown. Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. The variables available in `hovertemplate` are the ones emitted as event data described at this link https://plotly.com/javascript/plotlyjs-events/#event- data. Additionally, every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. Finally, the template string has access to variable `z` Anything contained in tag `` is displayed in the secondary box, for example "{fullData.name}". To hide the secondary box completely, use an empty tag ``. hovertemplatesrc Sets the source reference on Chart Studio Cloud for `hovertemplate`. ids Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type. idssrc Sets the source reference on Chart Studio Cloud for `ids`. legend Sets the reference to a legend to show this trace in. References to these legends are "legend", "legend2", "legend3", etc. Settings for these legends are set in the layout, under `layout.legend`, `layout.legend2`, etc. legendgroup Sets the legend group for this trace. Traces and shapes part of the same legend group hide/show at the same time when toggling legend items. legendgrouptitle :class:`plotly.graph_objects.histogram2d.Legendgrouptit le` instance or dict with compatible properties legendrank Sets the legend rank for this trace. Items and groups with smaller ranks are presented on top/left side while with "reversed" `legend.traceorder` they are on bottom/right side. The default legendrank is 1000, so that you can use ranks less than 1000 to place certain items before all unranked items, and ranks greater than 1000 to go after all unranked items. When having unranked or equal rank items shapes would be displayed after traces i.e. according to their order in data and layout. legendwidth Sets the width (in px or fraction) of the legend for this trace. marker :class:`plotly.graph_objects.histogram2d.Marker` instance or dict with compatible properties meta Assigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace `name`, graph, axis and colorbar `title.text`, annotation `text` `rangeselector`, `updatemenues` and `sliders` `label` text all support `meta`. To access the trace `meta` values in an attribute in the same trace, simply use `%{meta[i]}` where `i` is the index or key of the `meta` item in question. To access trace `meta` in layout attributes, use `%{data[n[.meta[i]}` where `i` is the index or key of the `meta` and `n` is the trace index. metasrc Sets the source reference on Chart Studio Cloud for `meta`. name Sets the trace name. The trace name appears as the legend item and on hover. nbinsx Specifies the maximum number of desired bins. This value will be used in an algorithm that will decide the optimal bin size such that the histogram best visualizes the distribution of the data. Ignored if `xbins.size` is provided. nbinsy Specifies the maximum number of desired bins. This value will be used in an algorithm that will decide the optimal bin size such that the histogram best visualizes the distribution of the data. Ignored if `ybins.size` is provided. opacity Sets the opacity of the trace. reversescale Reverses the color mapping if true. If true, `zmin` will correspond to the last color in the array and `zmax` will correspond to the first color. showlegend Determines whether or not an item corresponding to this trace is shown in the legend. showscale Determines whether or not a colorbar is displayed for this trace. stream :class:`plotly.graph_objects.histogram2d.Stream` instance or dict with compatible properties textfont Sets the text font. texttemplate Template string used for rendering the information text that appear on points. Note that this will override `textinfo`. Variables are inserted using %{variable}, for example "y: %{y}". Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. Every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. Finally, the template string has access to variable `z` uid Assign an id to this trace, Use this to provide object constancy between traces during animations and transitions. uirevision Controls persistence of some user-driven changes to the trace: `constraintrange` in `parcoords` traces, as well as some `editable: true` modifications such as `name` and `colorbar.title`. Defaults to `layout.uirevision`. Note that other user-driven trace attribute changes are controlled by `layout` attributes: `trace.visible` is controlled by `layout.legend.uirevision`, `selectedpoints` is controlled by `layout.selectionrevision`, and `colorbar.(x|y)` (accessible with `config: {editable: true}`) is controlled by `layout.editrevision`. Trace changes are tracked by `uid`, which only falls back on trace index if no `uid` is provided. So if your app can add/remove traces before the end of the `data` array, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace a `uid` that stays with it as it moves. visible Determines whether or not this trace is visible. If "legendonly", the trace is not drawn, but can appear as a legend item (provided that the legend itself is visible). x Sets the sample data to be binned on the x axis. xaxis Sets a reference between this trace's x coordinates and a 2D cartesian x axis. If "x" (the default value), the x coordinates refer to `layout.xaxis`. If "x2", the x coordinates refer to `layout.xaxis2`, and so on. xbingroup Set a group of histogram traces which will have compatible x-bin settings. Using `xbingroup`, histogram2d and histogram2dcontour traces (on axes of the same axis type) can have compatible x-bin settings. Note that the same `xbingroup` value can be used to set (1D) histogram `bingroup` xbins :class:`plotly.graph_objects.histogram2d.XBins` instance or dict with compatible properties xcalendar Sets the calendar system to use with `x` date data. xgap Sets the horizontal gap (in pixels) between bricks. xhoverformat Sets the hover text formatting rulefor `x` using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-format/tree/v1.4.5#d3-format. And for dates see: https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format. We add two items to d3's date formatter: "%h" for half of the year as a decimal number as well as "%{n}f" for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat "%H~%M~%S.%2f" would display *09~15~23.46*By default the values are formatted using `xaxis.hoverformat`. xsrc Sets the source reference on Chart Studio Cloud for `x`. y Sets the sample data to be binned on the y axis. yaxis Sets a reference between this trace's y coordinates and a 2D cartesian y axis. If "y" (the default value), the y coordinates refer to `layout.yaxis`. If "y2", the y coordinates refer to `layout.yaxis2`, and so on. ybingroup Set a group of histogram traces which will have compatible y-bin settings. Using `ybingroup`, histogram2d and histogram2dcontour traces (on axes of the same axis type) can have compatible y-bin settings. Note that the same `ybingroup` value can be used to set (1D) histogram `bingroup` ybins :class:`plotly.graph_objects.histogram2d.YBins` instance or dict with compatible properties ycalendar Sets the calendar system to use with `y` date data. ygap Sets the vertical gap (in pixels) between bricks. yhoverformat Sets the hover text formatting rulefor `y` using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-format/tree/v1.4.5#d3-format. And for dates see: https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format. We add two items to d3's date formatter: "%h" for half of the year as a decimal number as well as "%{n}f" for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat "%H~%M~%S.%2f" would display *09~15~23.46*By default the values are formatted using `yaxis.hoverformat`. ysrc Sets the source reference on Chart Studio Cloud for `y`. z Sets the aggregation data. zauto Determines whether or not the color domain is computed with respect to the input data (here in `z`) or the bounds set in `zmin` and `zmax` Defaults to `false` when `zmin` and `zmax` are set by the user. zhoverformat Sets the hover text formatting rulefor `z` using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d 3/d3-format/tree/v1.4.5#d3-format.By default the values are formatted using generic number format. zmax Sets the upper bound of the color domain. Value should have the same units as in `z` and if set, `zmin` must be set as well. zmid Sets the mid-point of the color domain by scaling `zmin` and/or `zmax` to be equidistant to this point. Value should have the same units as in `z`. Has no effect when `zauto` is `false`. zmin Sets the lower bound of the color domain. Value should have the same units as in `z` and if set, `zmax` must be set as well. zsmooth Picks a smoothing algorithm use to smooth `z` data. zsrc Sets the source reference on Chart Studio Cloud for `z`. row : 'all', int or None (default) Subplot row index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all rows in the specified column(s). col : 'all', int or None (default) Subplot col index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all columns in the specified row(s). secondary_y: boolean or None (default None) If True, associate this trace with the secondary y-axis of the subplot at the specified row and col. Only valid if all of the following conditions are satisfied: * The figure was created using `plotly.subplots.make_subplots`. * The row and col arguments are not None * The subplot at the specified row and col has type xy (which is the default) and secondary_y True. These properties are specified in the specs argument to make_subplots. See the make_subplots docstring for more info. Returns ------- FigureWidget """ from plotly.graph_objs import Histogram2d new_trace = Histogram2d( autobinx=autobinx, autobiny=autobiny, autocolorscale=autocolorscale, bingroup=bingroup, coloraxis=coloraxis, colorbar=colorbar, colorscale=colorscale, customdata=customdata, customdatasrc=customdatasrc, histfunc=histfunc, histnorm=histnorm, hoverinfo=hoverinfo, hoverinfosrc=hoverinfosrc, hoverlabel=hoverlabel, hovertemplate=hovertemplate, hovertemplatesrc=hovertemplatesrc, ids=ids, idssrc=idssrc, legend=legend, legendgroup=legendgroup, legendgrouptitle=legendgrouptitle, legendrank=legendrank, legendwidth=legendwidth, marker=marker, meta=meta, metasrc=metasrc, name=name, nbinsx=nbinsx, nbinsy=nbinsy, opacity=opacity, reversescale=reversescale, showlegend=showlegend, showscale=showscale, stream=stream, textfont=textfont, texttemplate=texttemplate, uid=uid, uirevision=uirevision, visible=visible, x=x, xaxis=xaxis, xbingroup=xbingroup, xbins=xbins, xcalendar=xcalendar, xgap=xgap, xhoverformat=xhoverformat, xsrc=xsrc, y=y, yaxis=yaxis, ybingroup=ybingroup, ybins=ybins, ycalendar=ycalendar, ygap=ygap, yhoverformat=yhoverformat, ysrc=ysrc, z=z, zauto=zauto, zhoverformat=zhoverformat, zmax=zmax, zmid=zmid, zmin=zmin, zsmooth=zsmooth, zsrc=zsrc, **kwargs, ) return self.add_trace(new_trace, row=row, col=col, secondary_y=secondary_y) def add_histogram2dcontour( self, autobinx=None, autobiny=None, autocolorscale=None, autocontour=None, bingroup=None, coloraxis=None, colorbar=None, colorscale=None, contours=None, customdata=None, customdatasrc=None, histfunc=None, histnorm=None, hoverinfo=None, hoverinfosrc=None, hoverlabel=None, hovertemplate=None, hovertemplatesrc=None, ids=None, idssrc=None, legend=None, legendgroup=None, legendgrouptitle=None, legendrank=None, legendwidth=None, line=None, marker=None, meta=None, metasrc=None, name=None, nbinsx=None, nbinsy=None, ncontours=None, opacity=None, reversescale=None, showlegend=None, showscale=None, stream=None, textfont=None, texttemplate=None, uid=None, uirevision=None, visible=None, x=None, xaxis=None, xbingroup=None, xbins=None, xcalendar=None, xhoverformat=None, xsrc=None, y=None, yaxis=None, ybingroup=None, ybins=None, ycalendar=None, yhoverformat=None, ysrc=None, z=None, zauto=None, zhoverformat=None, zmax=None, zmid=None, zmin=None, zsrc=None, row=None, col=None, secondary_y=None, **kwargs, ) -> "FigureWidget": """ Add a new Histogram2dContour trace The sample data from which statistics are computed is set in `x` and `y` (where `x` and `y` represent marginal distributions, binning is set in `xbins` and `ybins` in this case) or `z` (where `z` represent the 2D distribution and binning set, binning is set by `x` and `y` in this case). The resulting distribution is visualized as a contour plot. Parameters ---------- autobinx Obsolete: since v1.42 each bin attribute is auto- determined separately and `autobinx` is not needed. However, we accept `autobinx: true` or `false` and will update `xbins` accordingly before deleting `autobinx` from the trace. autobiny Obsolete: since v1.42 each bin attribute is auto- determined separately and `autobiny` is not needed. However, we accept `autobiny: true` or `false` and will update `ybins` accordingly before deleting `autobiny` from the trace. autocolorscale Determines whether the colorscale is a default palette (`autocolorscale: true`) or the palette determined by `colorscale`. In case `colorscale` is unspecified or `autocolorscale` is true, the default palette will be chosen according to whether numbers in the `color` array are all positive, all negative or mixed. autocontour Determines whether or not the contour level attributes are picked by an algorithm. If True, the number of contour levels can be set in `ncontours`. If False, set the contour level attributes in `contours`. bingroup Set the `xbingroup` and `ybingroup` default prefix For example, setting a `bingroup` of 1 on two histogram2d traces will make them their x-bins and y-bins match separately. coloraxis Sets a reference to a shared color axis. References to these shared color axes are "coloraxis", "coloraxis2", "coloraxis3", etc. Settings for these shared color axes are set in the layout, under `layout.coloraxis`, `layout.coloraxis2`, etc. Note that multiple color scales can be linked to the same color axis. colorbar :class:`plotly.graph_objects.histogram2dcontour.ColorBa r` instance or dict with compatible properties colorscale Sets the colorscale. The colorscale must be an array containing arrays mapping a normalized value to an rgb, rgba, hex, hsl, hsv, or named color string. At minimum, a mapping for the lowest (0) and highest (1) values are required. For example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the bounds of the colorscale in color space, use `zmin` and `zmax`. Alternatively, `colorscale` may be a palette name string of the following list: Blackbody,Bluered,Blues,C ividis,Earth,Electric,Greens,Greys,Hot,Jet,Picnic,Portl and,Rainbow,RdBu,Reds,Viridis,YlGnBu,YlOrRd. contours :class:`plotly.graph_objects.histogram2dcontour.Contour s` instance or dict with compatible properties customdata Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, "scatter" traces also appends customdata items in the markers DOM elements customdatasrc Sets the source reference on Chart Studio Cloud for `customdata`. histfunc Specifies the binning function used for this histogram trace. If "count", the histogram values are computed by counting the number of values lying inside each bin. If "sum", "avg", "min", "max", the histogram values are computed using the sum, the average, the minimum or the maximum of the values lying inside each bin respectively. histnorm Specifies the type of normalization used for this histogram trace. If "", the span of each bar corresponds to the number of occurrences (i.e. the number of data points lying inside the bins). If "percent" / "probability", the span of each bar corresponds to the percentage / fraction of occurrences with respect to the total number of sample points (here, the sum of all bin HEIGHTS equals 100% / 1). If "density", the span of each bar corresponds to the number of occurrences in a bin divided by the size of the bin interval (here, the sum of all bin AREAS equals the total number of sample points). If *probability density*, the area of each bar corresponds to the probability that an event will fall into the corresponding bin (here, the sum of all bin AREAS equals 1). hoverinfo Determines which trace information appear on hover. If `none` or `skip` are set, no information is displayed upon hovering. But, if `none` is set, click and hover events are still fired. hoverinfosrc Sets the source reference on Chart Studio Cloud for `hoverinfo`. hoverlabel :class:`plotly.graph_objects.histogram2dcontour.Hoverla bel` instance or dict with compatible properties hovertemplate Template string used for rendering the information that appear on hover box. Note that this will override `hoverinfo`. Variables are inserted using %{variable}, for example "y: %{y}" as well as %{xother}, {%_xother}, {%_xother_}, {%xother_}. When showing info for several points, "xother" will be added to those with different x positions from the first point. An underscore before or after "(x|y)other" will add a space on that side, only when this field is shown. Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. The variables available in `hovertemplate` are the ones emitted as event data described at this link https://plotly.com/javascript/plotlyjs-events/#event- data. Additionally, every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. Finally, the template string has access to variable `z` Anything contained in tag `` is displayed in the secondary box, for example "{fullData.name}". To hide the secondary box completely, use an empty tag ``. hovertemplatesrc Sets the source reference on Chart Studio Cloud for `hovertemplate`. ids Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type. idssrc Sets the source reference on Chart Studio Cloud for `ids`. legend Sets the reference to a legend to show this trace in. References to these legends are "legend", "legend2", "legend3", etc. Settings for these legends are set in the layout, under `layout.legend`, `layout.legend2`, etc. legendgroup Sets the legend group for this trace. Traces and shapes part of the same legend group hide/show at the same time when toggling legend items. legendgrouptitle :class:`plotly.graph_objects.histogram2dcontour.Legendg rouptitle` instance or dict with compatible properties legendrank Sets the legend rank for this trace. Items and groups with smaller ranks are presented on top/left side while with "reversed" `legend.traceorder` they are on bottom/right side. The default legendrank is 1000, so that you can use ranks less than 1000 to place certain items before all unranked items, and ranks greater than 1000 to go after all unranked items. When having unranked or equal rank items shapes would be displayed after traces i.e. according to their order in data and layout. legendwidth Sets the width (in px or fraction) of the legend for this trace. line :class:`plotly.graph_objects.histogram2dcontour.Line` instance or dict with compatible properties marker :class:`plotly.graph_objects.histogram2dcontour.Marker` instance or dict with compatible properties meta Assigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace `name`, graph, axis and colorbar `title.text`, annotation `text` `rangeselector`, `updatemenues` and `sliders` `label` text all support `meta`. To access the trace `meta` values in an attribute in the same trace, simply use `%{meta[i]}` where `i` is the index or key of the `meta` item in question. To access trace `meta` in layout attributes, use `%{data[n[.meta[i]}` where `i` is the index or key of the `meta` and `n` is the trace index. metasrc Sets the source reference on Chart Studio Cloud for `meta`. name Sets the trace name. The trace name appears as the legend item and on hover. nbinsx Specifies the maximum number of desired bins. This value will be used in an algorithm that will decide the optimal bin size such that the histogram best visualizes the distribution of the data. Ignored if `xbins.size` is provided. nbinsy Specifies the maximum number of desired bins. This value will be used in an algorithm that will decide the optimal bin size such that the histogram best visualizes the distribution of the data. Ignored if `ybins.size` is provided. ncontours Sets the maximum number of contour levels. The actual number of contours will be chosen automatically to be less than or equal to the value of `ncontours`. Has an effect only if `autocontour` is True or if `contours.size` is missing. opacity Sets the opacity of the trace. reversescale Reverses the color mapping if true. If true, `zmin` will correspond to the last color in the array and `zmax` will correspond to the first color. showlegend Determines whether or not an item corresponding to this trace is shown in the legend. showscale Determines whether or not a colorbar is displayed for this trace. stream :class:`plotly.graph_objects.histogram2dcontour.Stream` instance or dict with compatible properties textfont For this trace it only has an effect if `coloring` is set to "heatmap". Sets the text font. texttemplate For this trace it only has an effect if `coloring` is set to "heatmap". Template string used for rendering the information text that appear on points. Note that this will override `textinfo`. Variables are inserted using %{variable}, for example "y: %{y}". Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. Every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. Finally, the template string has access to variables `x`, `y`, `z` and `text`. uid Assign an id to this trace, Use this to provide object constancy between traces during animations and transitions. uirevision Controls persistence of some user-driven changes to the trace: `constraintrange` in `parcoords` traces, as well as some `editable: true` modifications such as `name` and `colorbar.title`. Defaults to `layout.uirevision`. Note that other user-driven trace attribute changes are controlled by `layout` attributes: `trace.visible` is controlled by `layout.legend.uirevision`, `selectedpoints` is controlled by `layout.selectionrevision`, and `colorbar.(x|y)` (accessible with `config: {editable: true}`) is controlled by `layout.editrevision`. Trace changes are tracked by `uid`, which only falls back on trace index if no `uid` is provided. So if your app can add/remove traces before the end of the `data` array, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace a `uid` that stays with it as it moves. visible Determines whether or not this trace is visible. If "legendonly", the trace is not drawn, but can appear as a legend item (provided that the legend itself is visible). x Sets the sample data to be binned on the x axis. xaxis Sets a reference between this trace's x coordinates and a 2D cartesian x axis. If "x" (the default value), the x coordinates refer to `layout.xaxis`. If "x2", the x coordinates refer to `layout.xaxis2`, and so on. xbingroup Set a group of histogram traces which will have compatible x-bin settings. Using `xbingroup`, histogram2d and histogram2dcontour traces (on axes of the same axis type) can have compatible x-bin settings. Note that the same `xbingroup` value can be used to set (1D) histogram `bingroup` xbins :class:`plotly.graph_objects.histogram2dcontour.XBins` instance or dict with compatible properties xcalendar Sets the calendar system to use with `x` date data. xhoverformat Sets the hover text formatting rulefor `x` using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-format/tree/v1.4.5#d3-format. And for dates see: https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format. We add two items to d3's date formatter: "%h" for half of the year as a decimal number as well as "%{n}f" for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat "%H~%M~%S.%2f" would display *09~15~23.46*By default the values are formatted using `xaxis.hoverformat`. xsrc Sets the source reference on Chart Studio Cloud for `x`. y Sets the sample data to be binned on the y axis. yaxis Sets a reference between this trace's y coordinates and a 2D cartesian y axis. If "y" (the default value), the y coordinates refer to `layout.yaxis`. If "y2", the y coordinates refer to `layout.yaxis2`, and so on. ybingroup Set a group of histogram traces which will have compatible y-bin settings. Using `ybingroup`, histogram2d and histogram2dcontour traces (on axes of the same axis type) can have compatible y-bin settings. Note that the same `ybingroup` value can be used to set (1D) histogram `bingroup` ybins :class:`plotly.graph_objects.histogram2dcontour.YBins` instance or dict with compatible properties ycalendar Sets the calendar system to use with `y` date data. yhoverformat Sets the hover text formatting rulefor `y` using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-format/tree/v1.4.5#d3-format. And for dates see: https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format. We add two items to d3's date formatter: "%h" for half of the year as a decimal number as well as "%{n}f" for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat "%H~%M~%S.%2f" would display *09~15~23.46*By default the values are formatted using `yaxis.hoverformat`. ysrc Sets the source reference on Chart Studio Cloud for `y`. z Sets the aggregation data. zauto Determines whether or not the color domain is computed with respect to the input data (here in `z`) or the bounds set in `zmin` and `zmax` Defaults to `false` when `zmin` and `zmax` are set by the user. zhoverformat Sets the hover text formatting rulefor `z` using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d 3/d3-format/tree/v1.4.5#d3-format.By default the values are formatted using generic number format. zmax Sets the upper bound of the color domain. Value should have the same units as in `z` and if set, `zmin` must be set as well. zmid Sets the mid-point of the color domain by scaling `zmin` and/or `zmax` to be equidistant to this point. Value should have the same units as in `z`. Has no effect when `zauto` is `false`. zmin Sets the lower bound of the color domain. Value should have the same units as in `z` and if set, `zmax` must be set as well. zsrc Sets the source reference on Chart Studio Cloud for `z`. row : 'all', int or None (default) Subplot row index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all rows in the specified column(s). col : 'all', int or None (default) Subplot col index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all columns in the specified row(s). secondary_y: boolean or None (default None) If True, associate this trace with the secondary y-axis of the subplot at the specified row and col. Only valid if all of the following conditions are satisfied: * The figure was created using `plotly.subplots.make_subplots`. * The row and col arguments are not None * The subplot at the specified row and col has type xy (which is the default) and secondary_y True. These properties are specified in the specs argument to make_subplots. See the make_subplots docstring for more info. Returns ------- FigureWidget """ from plotly.graph_objs import Histogram2dContour new_trace = Histogram2dContour( autobinx=autobinx, autobiny=autobiny, autocolorscale=autocolorscale, autocontour=autocontour, bingroup=bingroup, coloraxis=coloraxis, colorbar=colorbar, colorscale=colorscale, contours=contours, customdata=customdata, customdatasrc=customdatasrc, histfunc=histfunc, histnorm=histnorm, hoverinfo=hoverinfo, hoverinfosrc=hoverinfosrc, hoverlabel=hoverlabel, hovertemplate=hovertemplate, hovertemplatesrc=hovertemplatesrc, ids=ids, idssrc=idssrc, legend=legend, legendgroup=legendgroup, legendgrouptitle=legendgrouptitle, legendrank=legendrank, legendwidth=legendwidth, line=line, marker=marker, meta=meta, metasrc=metasrc, name=name, nbinsx=nbinsx, nbinsy=nbinsy, ncontours=ncontours, opacity=opacity, reversescale=reversescale, showlegend=showlegend, showscale=showscale, stream=stream, textfont=textfont, texttemplate=texttemplate, uid=uid, uirevision=uirevision, visible=visible, x=x, xaxis=xaxis, xbingroup=xbingroup, xbins=xbins, xcalendar=xcalendar, xhoverformat=xhoverformat, xsrc=xsrc, y=y, yaxis=yaxis, ybingroup=ybingroup, ybins=ybins, ycalendar=ycalendar, yhoverformat=yhoverformat, ysrc=ysrc, z=z, zauto=zauto, zhoverformat=zhoverformat, zmax=zmax, zmid=zmid, zmin=zmin, zsrc=zsrc, **kwargs, ) return self.add_trace(new_trace, row=row, col=col, secondary_y=secondary_y) def add_icicle( self, branchvalues=None, count=None, customdata=None, customdatasrc=None, domain=None, hoverinfo=None, hoverinfosrc=None, hoverlabel=None, hovertemplate=None, hovertemplatesrc=None, hovertext=None, hovertextsrc=None, ids=None, idssrc=None, insidetextfont=None, labels=None, labelssrc=None, leaf=None, legend=None, legendgrouptitle=None, legendrank=None, legendwidth=None, level=None, marker=None, maxdepth=None, meta=None, metasrc=None, name=None, opacity=None, outsidetextfont=None, parents=None, parentssrc=None, pathbar=None, root=None, sort=None, stream=None, text=None, textfont=None, textinfo=None, textposition=None, textsrc=None, texttemplate=None, texttemplatesrc=None, tiling=None, uid=None, uirevision=None, values=None, valuessrc=None, visible=None, row=None, col=None, **kwargs, ) -> "FigureWidget": """ Add a new Icicle trace Visualize hierarchal data from leaves (and/or outer branches) towards root with rectangles. The icicle sectors are determined by the entries in "labels" or "ids" and in "parents". Parameters ---------- branchvalues Determines how the items in `values` are summed. When set to "total", items in `values` are taken to be value of all its descendants. When set to "remainder", items in `values` corresponding to the root and the branches sectors are taken to be the extra part not part of the sum of the values at their leaves. count Determines default for `values` when it is not provided, by inferring a 1 for each of the "leaves" and/or "branches", otherwise 0. customdata Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, "scatter" traces also appends customdata items in the markers DOM elements customdatasrc Sets the source reference on Chart Studio Cloud for `customdata`. domain :class:`plotly.graph_objects.icicle.Domain` instance or dict with compatible properties hoverinfo Determines which trace information appear on hover. If `none` or `skip` are set, no information is displayed upon hovering. But, if `none` is set, click and hover events are still fired. hoverinfosrc Sets the source reference on Chart Studio Cloud for `hoverinfo`. hoverlabel :class:`plotly.graph_objects.icicle.Hoverlabel` instance or dict with compatible properties hovertemplate Template string used for rendering the information that appear on hover box. Note that this will override `hoverinfo`. Variables are inserted using %{variable}, for example "y: %{y}" as well as %{xother}, {%_xother}, {%_xother_}, {%xother_}. When showing info for several points, "xother" will be added to those with different x positions from the first point. An underscore before or after "(x|y)other" will add a space on that side, only when this field is shown. Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. The variables available in `hovertemplate` are the ones emitted as event data described at this link https://plotly.com/javascript/plotlyjs-events/#event- data. Additionally, every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. Finally, the template string has access to variables `currentPath`, `root`, `entry`, `percentRoot`, `percentEntry` and `percentParent`. Anything contained in tag `` is displayed in the secondary box, for example "{fullData.name}". To hide the secondary box completely, use an empty tag ``. hovertemplatesrc Sets the source reference on Chart Studio Cloud for `hovertemplate`. hovertext Sets hover text elements associated with each sector. If a single string, the same string appears for all data points. If an array of string, the items are mapped in order of this trace's sectors. To be seen, trace `hoverinfo` must contain a "text" flag. hovertextsrc Sets the source reference on Chart Studio Cloud for `hovertext`. ids Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type. idssrc Sets the source reference on Chart Studio Cloud for `ids`. insidetextfont Sets the font used for `textinfo` lying inside the sector. labels Sets the labels of each of the sectors. labelssrc Sets the source reference on Chart Studio Cloud for `labels`. leaf :class:`plotly.graph_objects.icicle.Leaf` instance or dict with compatible properties legend Sets the reference to a legend to show this trace in. References to these legends are "legend", "legend2", "legend3", etc. Settings for these legends are set in the layout, under `layout.legend`, `layout.legend2`, etc. legendgrouptitle :class:`plotly.graph_objects.icicle.Legendgrouptitle` instance or dict with compatible properties legendrank Sets the legend rank for this trace. Items and groups with smaller ranks are presented on top/left side while with "reversed" `legend.traceorder` they are on bottom/right side. The default legendrank is 1000, so that you can use ranks less than 1000 to place certain items before all unranked items, and ranks greater than 1000 to go after all unranked items. When having unranked or equal rank items shapes would be displayed after traces i.e. according to their order in data and layout. legendwidth Sets the width (in px or fraction) of the legend for this trace. level Sets the level from which this trace hierarchy is rendered. Set `level` to `''` to start from the root node in the hierarchy. Must be an "id" if `ids` is filled in, otherwise plotly attempts to find a matching item in `labels`. marker :class:`plotly.graph_objects.icicle.Marker` instance or dict with compatible properties maxdepth Sets the number of rendered sectors from any given `level`. Set `maxdepth` to "-1" to render all the levels in the hierarchy. meta Assigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace `name`, graph, axis and colorbar `title.text`, annotation `text` `rangeselector`, `updatemenues` and `sliders` `label` text all support `meta`. To access the trace `meta` values in an attribute in the same trace, simply use `%{meta[i]}` where `i` is the index or key of the `meta` item in question. To access trace `meta` in layout attributes, use `%{data[n[.meta[i]}` where `i` is the index or key of the `meta` and `n` is the trace index. metasrc Sets the source reference on Chart Studio Cloud for `meta`. name Sets the trace name. The trace name appears as the legend item and on hover. opacity Sets the opacity of the trace. outsidetextfont Sets the font used for `textinfo` lying outside the sector. This option refers to the root of the hierarchy presented on top left corner of a treemap graph. Please note that if a hierarchy has multiple root nodes, this option won't have any effect and `insidetextfont` would be used. parents Sets the parent sectors for each of the sectors. Empty string items '' are understood to reference the root node in the hierarchy. If `ids` is filled, `parents` items are understood to be "ids" themselves. When `ids` is not set, plotly attempts to find matching items in `labels`, but beware they must be unique. parentssrc Sets the source reference on Chart Studio Cloud for `parents`. pathbar :class:`plotly.graph_objects.icicle.Pathbar` instance or dict with compatible properties root :class:`plotly.graph_objects.icicle.Root` instance or dict with compatible properties sort Determines whether or not the sectors are reordered from largest to smallest. stream :class:`plotly.graph_objects.icicle.Stream` instance or dict with compatible properties text Sets text elements associated with each sector. If trace `textinfo` contains a "text" flag, these elements will be seen on the chart. If trace `hoverinfo` contains a "text" flag and "hovertext" is not set, these elements will be seen in the hover labels. textfont Sets the font used for `textinfo`. textinfo Determines which trace information appear on the graph. textposition Sets the positions of the `text` elements. textsrc Sets the source reference on Chart Studio Cloud for `text`. texttemplate Template string used for rendering the information text that appear on points. Note that this will override `textinfo`. Variables are inserted using %{variable}, for example "y: %{y}". Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. Every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. Finally, the template string has access to variables `currentPath`, `root`, `entry`, `percentRoot`, `percentEntry`, `percentParent`, `label` and `value`. texttemplatesrc Sets the source reference on Chart Studio Cloud for `texttemplate`. tiling :class:`plotly.graph_objects.icicle.Tiling` instance or dict with compatible properties uid Assign an id to this trace, Use this to provide object constancy between traces during animations and transitions. uirevision Controls persistence of some user-driven changes to the trace: `constraintrange` in `parcoords` traces, as well as some `editable: true` modifications such as `name` and `colorbar.title`. Defaults to `layout.uirevision`. Note that other user-driven trace attribute changes are controlled by `layout` attributes: `trace.visible` is controlled by `layout.legend.uirevision`, `selectedpoints` is controlled by `layout.selectionrevision`, and `colorbar.(x|y)` (accessible with `config: {editable: true}`) is controlled by `layout.editrevision`. Trace changes are tracked by `uid`, which only falls back on trace index if no `uid` is provided. So if your app can add/remove traces before the end of the `data` array, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace a `uid` that stays with it as it moves. values Sets the values associated with each of the sectors. Use with `branchvalues` to determine how the values are summed. valuessrc Sets the source reference on Chart Studio Cloud for `values`. visible Determines whether or not this trace is visible. If "legendonly", the trace is not drawn, but can appear as a legend item (provided that the legend itself is visible). row : 'all', int or None (default) Subplot row index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all rows in the specified column(s). col : 'all', int or None (default) Subplot col index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all columns in the specified row(s). Returns ------- FigureWidget """ from plotly.graph_objs import Icicle new_trace = Icicle( branchvalues=branchvalues, count=count, customdata=customdata, customdatasrc=customdatasrc, domain=domain, hoverinfo=hoverinfo, hoverinfosrc=hoverinfosrc, hoverlabel=hoverlabel, hovertemplate=hovertemplate, hovertemplatesrc=hovertemplatesrc, hovertext=hovertext, hovertextsrc=hovertextsrc, ids=ids, idssrc=idssrc, insidetextfont=insidetextfont, labels=labels, labelssrc=labelssrc, leaf=leaf, legend=legend, legendgrouptitle=legendgrouptitle, legendrank=legendrank, legendwidth=legendwidth, level=level, marker=marker, maxdepth=maxdepth, meta=meta, metasrc=metasrc, name=name, opacity=opacity, outsidetextfont=outsidetextfont, parents=parents, parentssrc=parentssrc, pathbar=pathbar, root=root, sort=sort, stream=stream, text=text, textfont=textfont, textinfo=textinfo, textposition=textposition, textsrc=textsrc, texttemplate=texttemplate, texttemplatesrc=texttemplatesrc, tiling=tiling, uid=uid, uirevision=uirevision, values=values, valuessrc=valuessrc, visible=visible, **kwargs, ) return self.add_trace(new_trace, row=row, col=col) def add_image( self, colormodel=None, customdata=None, customdatasrc=None, dx=None, dy=None, hoverinfo=None, hoverinfosrc=None, hoverlabel=None, hovertemplate=None, hovertemplatesrc=None, hovertext=None, hovertextsrc=None, ids=None, idssrc=None, legend=None, legendgrouptitle=None, legendrank=None, legendwidth=None, meta=None, metasrc=None, name=None, opacity=None, source=None, stream=None, text=None, textsrc=None, uid=None, uirevision=None, visible=None, x0=None, xaxis=None, y0=None, yaxis=None, z=None, zmax=None, zmin=None, zorder=None, zsmooth=None, zsrc=None, row=None, col=None, secondary_y=None, **kwargs, ) -> "FigureWidget": """ Add a new Image trace Display an image, i.e. data on a 2D regular raster. By default, when an image is displayed in a subplot, its y axis will be reversed (ie. `autorange: 'reversed'`), constrained to the domain (ie. `constrain: 'domain'`) and it will have the same scale as its x axis (ie. `scaleanchor: 'x,`) in order for pixels to be rendered as squares. Parameters ---------- colormodel Color model used to map the numerical color components described in `z` into colors. If `source` is specified, this attribute will be set to `rgba256` otherwise it defaults to `rgb`. customdata Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, "scatter" traces also appends customdata items in the markers DOM elements customdatasrc Sets the source reference on Chart Studio Cloud for `customdata`. dx Set the pixel's horizontal size. dy Set the pixel's vertical size hoverinfo Determines which trace information appear on hover. If `none` or `skip` are set, no information is displayed upon hovering. But, if `none` is set, click and hover events are still fired. hoverinfosrc Sets the source reference on Chart Studio Cloud for `hoverinfo`. hoverlabel :class:`plotly.graph_objects.image.Hoverlabel` instance or dict with compatible properties hovertemplate Template string used for rendering the information that appear on hover box. Note that this will override `hoverinfo`. Variables are inserted using %{variable}, for example "y: %{y}" as well as %{xother}, {%_xother}, {%_xother_}, {%xother_}. When showing info for several points, "xother" will be added to those with different x positions from the first point. An underscore before or after "(x|y)other" will add a space on that side, only when this field is shown. Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. The variables available in `hovertemplate` are the ones emitted as event data described at this link https://plotly.com/javascript/plotlyjs-events/#event- data. Additionally, every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. Finally, the template string has access to variables `z`, `color` and `colormodel`. Anything contained in tag `` is displayed in the secondary box, for example "{fullData.name}". To hide the secondary box completely, use an empty tag ``. hovertemplatesrc Sets the source reference on Chart Studio Cloud for `hovertemplate`. hovertext Same as `text`. hovertextsrc Sets the source reference on Chart Studio Cloud for `hovertext`. ids Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type. idssrc Sets the source reference on Chart Studio Cloud for `ids`. legend Sets the reference to a legend to show this trace in. References to these legends are "legend", "legend2", "legend3", etc. Settings for these legends are set in the layout, under `layout.legend`, `layout.legend2`, etc. legendgrouptitle :class:`plotly.graph_objects.image.Legendgrouptitle` instance or dict with compatible properties legendrank Sets the legend rank for this trace. Items and groups with smaller ranks are presented on top/left side while with "reversed" `legend.traceorder` they are on bottom/right side. The default legendrank is 1000, so that you can use ranks less than 1000 to place certain items before all unranked items, and ranks greater than 1000 to go after all unranked items. When having unranked or equal rank items shapes would be displayed after traces i.e. according to their order in data and layout. legendwidth Sets the width (in px or fraction) of the legend for this trace. meta Assigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace `name`, graph, axis and colorbar `title.text`, annotation `text` `rangeselector`, `updatemenues` and `sliders` `label` text all support `meta`. To access the trace `meta` values in an attribute in the same trace, simply use `%{meta[i]}` where `i` is the index or key of the `meta` item in question. To access trace `meta` in layout attributes, use `%{data[n[.meta[i]}` where `i` is the index or key of the `meta` and `n` is the trace index. metasrc Sets the source reference on Chart Studio Cloud for `meta`. name Sets the trace name. The trace name appears as the legend item and on hover. opacity Sets the opacity of the trace. source Specifies the data URI of the image to be visualized. The URI consists of "data:image/[][;base64]," stream :class:`plotly.graph_objects.image.Stream` instance or dict with compatible properties text Sets the text elements associated with each z value. textsrc Sets the source reference on Chart Studio Cloud for `text`. uid Assign an id to this trace, Use this to provide object constancy between traces during animations and transitions. uirevision Controls persistence of some user-driven changes to the trace: `constraintrange` in `parcoords` traces, as well as some `editable: true` modifications such as `name` and `colorbar.title`. Defaults to `layout.uirevision`. Note that other user-driven trace attribute changes are controlled by `layout` attributes: `trace.visible` is controlled by `layout.legend.uirevision`, `selectedpoints` is controlled by `layout.selectionrevision`, and `colorbar.(x|y)` (accessible with `config: {editable: true}`) is controlled by `layout.editrevision`. Trace changes are tracked by `uid`, which only falls back on trace index if no `uid` is provided. So if your app can add/remove traces before the end of the `data` array, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace a `uid` that stays with it as it moves. visible Determines whether or not this trace is visible. If "legendonly", the trace is not drawn, but can appear as a legend item (provided that the legend itself is visible). x0 Set the image's x position. The left edge of the image (or the right edge if the x axis is reversed or dx is negative) will be found at xmin=x0-dx/2 xaxis Sets a reference between this trace's x coordinates and a 2D cartesian x axis. If "x" (the default value), the x coordinates refer to `layout.xaxis`. If "x2", the x coordinates refer to `layout.xaxis2`, and so on. y0 Set the image's y position. The top edge of the image (or the bottom edge if the y axis is NOT reversed or if dy is negative) will be found at ymin=y0-dy/2. By default when an image trace is included, the y axis will be reversed so that the image is right-side-up, but you can disable this by setting yaxis.autorange=true or by providing an explicit y axis range. yaxis Sets a reference between this trace's y coordinates and a 2D cartesian y axis. If "y" (the default value), the y coordinates refer to `layout.yaxis`. If "y2", the y coordinates refer to `layout.yaxis2`, and so on. z A 2-dimensional array in which each element is an array of 3 or 4 numbers representing a color. zmax Array defining the higher bound for each color component. Note that the default value will depend on the colormodel. For the `rgb` colormodel, it is [255, 255, 255]. For the `rgba` colormodel, it is [255, 255, 255, 1]. For the `rgba256` colormodel, it is [255, 255, 255, 255]. For the `hsl` colormodel, it is [360, 100, 100]. For the `hsla` colormodel, it is [360, 100, 100, 1]. zmin Array defining the lower bound for each color component. Note that the default value will depend on the colormodel. For the `rgb` colormodel, it is [0, 0, 0]. For the `rgba` colormodel, it is [0, 0, 0, 0]. For the `rgba256` colormodel, it is [0, 0, 0, 0]. For the `hsl` colormodel, it is [0, 0, 0]. For the `hsla` colormodel, it is [0, 0, 0, 0]. zorder Sets the layer on which this trace is displayed, relative to other SVG traces on the same subplot. SVG traces with higher `zorder` appear in front of those with lower `zorder`. zsmooth Picks a smoothing algorithm used to smooth `z` data. This only applies for image traces that use the `source` attribute. zsrc Sets the source reference on Chart Studio Cloud for `z`. row : 'all', int or None (default) Subplot row index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all rows in the specified column(s). col : 'all', int or None (default) Subplot col index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all columns in the specified row(s). secondary_y: boolean or None (default None) If True, associate this trace with the secondary y-axis of the subplot at the specified row and col. Only valid if all of the following conditions are satisfied: * The figure was created using `plotly.subplots.make_subplots`. * The row and col arguments are not None * The subplot at the specified row and col has type xy (which is the default) and secondary_y True. These properties are specified in the specs argument to make_subplots. See the make_subplots docstring for more info. Returns ------- FigureWidget """ from plotly.graph_objs import Image new_trace = Image( colormodel=colormodel, customdata=customdata, customdatasrc=customdatasrc, dx=dx, dy=dy, hoverinfo=hoverinfo, hoverinfosrc=hoverinfosrc, hoverlabel=hoverlabel, hovertemplate=hovertemplate, hovertemplatesrc=hovertemplatesrc, hovertext=hovertext, hovertextsrc=hovertextsrc, ids=ids, idssrc=idssrc, legend=legend, legendgrouptitle=legendgrouptitle, legendrank=legendrank, legendwidth=legendwidth, meta=meta, metasrc=metasrc, name=name, opacity=opacity, source=source, stream=stream, text=text, textsrc=textsrc, uid=uid, uirevision=uirevision, visible=visible, x0=x0, xaxis=xaxis, y0=y0, yaxis=yaxis, z=z, zmax=zmax, zmin=zmin, zorder=zorder, zsmooth=zsmooth, zsrc=zsrc, **kwargs, ) return self.add_trace(new_trace, row=row, col=col, secondary_y=secondary_y) def add_indicator( self, align=None, customdata=None, customdatasrc=None, delta=None, domain=None, gauge=None, ids=None, idssrc=None, legend=None, legendgrouptitle=None, legendrank=None, legendwidth=None, meta=None, metasrc=None, mode=None, name=None, number=None, stream=None, title=None, uid=None, uirevision=None, value=None, visible=None, row=None, col=None, **kwargs, ) -> "FigureWidget": """ Add a new Indicator trace An indicator is used to visualize a single `value` along with some contextual information such as `steps` or a `threshold`, using a combination of three visual elements: a number, a delta, and/or a gauge. Deltas are taken with respect to a `reference`. Gauges can be either angular or bullet (aka linear) gauges. Parameters ---------- align Sets the horizontal alignment of the `text` within the box. Note that this attribute has no effect if an angular gauge is displayed: in this case, it is always centered customdata Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, "scatter" traces also appends customdata items in the markers DOM elements customdatasrc Sets the source reference on Chart Studio Cloud for `customdata`. delta :class:`plotly.graph_objects.indicator.Delta` instance or dict with compatible properties domain :class:`plotly.graph_objects.indicator.Domain` instance or dict with compatible properties gauge The gauge of the Indicator plot. ids Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type. idssrc Sets the source reference on Chart Studio Cloud for `ids`. legend Sets the reference to a legend to show this trace in. References to these legends are "legend", "legend2", "legend3", etc. Settings for these legends are set in the layout, under `layout.legend`, `layout.legend2`, etc. legendgrouptitle :class:`plotly.graph_objects.indicator.Legendgrouptitle ` instance or dict with compatible properties legendrank Sets the legend rank for this trace. Items and groups with smaller ranks are presented on top/left side while with "reversed" `legend.traceorder` they are on bottom/right side. The default legendrank is 1000, so that you can use ranks less than 1000 to place certain items before all unranked items, and ranks greater than 1000 to go after all unranked items. When having unranked or equal rank items shapes would be displayed after traces i.e. according to their order in data and layout. legendwidth Sets the width (in px or fraction) of the legend for this trace. meta Assigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace `name`, graph, axis and colorbar `title.text`, annotation `text` `rangeselector`, `updatemenues` and `sliders` `label` text all support `meta`. To access the trace `meta` values in an attribute in the same trace, simply use `%{meta[i]}` where `i` is the index or key of the `meta` item in question. To access trace `meta` in layout attributes, use `%{data[n[.meta[i]}` where `i` is the index or key of the `meta` and `n` is the trace index. metasrc Sets the source reference on Chart Studio Cloud for `meta`. mode Determines how the value is displayed on the graph. `number` displays the value numerically in text. `delta` displays the difference to a reference value in text. Finally, `gauge` displays the value graphically on an axis. name Sets the trace name. The trace name appears as the legend item and on hover. number :class:`plotly.graph_objects.indicator.Number` instance or dict with compatible properties stream :class:`plotly.graph_objects.indicator.Stream` instance or dict with compatible properties title :class:`plotly.graph_objects.indicator.Title` instance or dict with compatible properties uid Assign an id to this trace, Use this to provide object constancy between traces during animations and transitions. uirevision Controls persistence of some user-driven changes to the trace: `constraintrange` in `parcoords` traces, as well as some `editable: true` modifications such as `name` and `colorbar.title`. Defaults to `layout.uirevision`. Note that other user-driven trace attribute changes are controlled by `layout` attributes: `trace.visible` is controlled by `layout.legend.uirevision`, `selectedpoints` is controlled by `layout.selectionrevision`, and `colorbar.(x|y)` (accessible with `config: {editable: true}`) is controlled by `layout.editrevision`. Trace changes are tracked by `uid`, which only falls back on trace index if no `uid` is provided. So if your app can add/remove traces before the end of the `data` array, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace a `uid` that stays with it as it moves. value Sets the number to be displayed. visible Determines whether or not this trace is visible. If "legendonly", the trace is not drawn, but can appear as a legend item (provided that the legend itself is visible). row : 'all', int or None (default) Subplot row index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all rows in the specified column(s). col : 'all', int or None (default) Subplot col index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all columns in the specified row(s). Returns ------- FigureWidget """ from plotly.graph_objs import Indicator new_trace = Indicator( align=align, customdata=customdata, customdatasrc=customdatasrc, delta=delta, domain=domain, gauge=gauge, ids=ids, idssrc=idssrc, legend=legend, legendgrouptitle=legendgrouptitle, legendrank=legendrank, legendwidth=legendwidth, meta=meta, metasrc=metasrc, mode=mode, name=name, number=number, stream=stream, title=title, uid=uid, uirevision=uirevision, value=value, visible=visible, **kwargs, ) return self.add_trace(new_trace, row=row, col=col) def add_isosurface( self, autocolorscale=None, caps=None, cauto=None, cmax=None, cmid=None, cmin=None, coloraxis=None, colorbar=None, colorscale=None, contour=None, customdata=None, customdatasrc=None, flatshading=None, hoverinfo=None, hoverinfosrc=None, hoverlabel=None, hovertemplate=None, hovertemplatesrc=None, hovertext=None, hovertextsrc=None, ids=None, idssrc=None, isomax=None, isomin=None, legend=None, legendgroup=None, legendgrouptitle=None, legendrank=None, legendwidth=None, lighting=None, lightposition=None, meta=None, metasrc=None, name=None, opacity=None, reversescale=None, scene=None, showlegend=None, showscale=None, slices=None, spaceframe=None, stream=None, surface=None, text=None, textsrc=None, uid=None, uirevision=None, value=None, valuehoverformat=None, valuesrc=None, visible=None, x=None, xhoverformat=None, xsrc=None, y=None, yhoverformat=None, ysrc=None, z=None, zhoverformat=None, zsrc=None, row=None, col=None, **kwargs, ) -> "FigureWidget": """ Add a new Isosurface trace Draws isosurfaces between iso-min and iso-max values with coordinates given by four 1-dimensional arrays containing the `value`, `x`, `y` and `z` of every vertex of a uniform or non- uniform 3-D grid. Horizontal or vertical slices, caps as well as spaceframe between iso-min and iso-max values could also be drawn using this trace. Parameters ---------- autocolorscale Determines whether the colorscale is a default palette (`autocolorscale: true`) or the palette determined by `colorscale`. In case `colorscale` is unspecified or `autocolorscale` is true, the default palette will be chosen according to whether numbers in the `color` array are all positive, all negative or mixed. caps :class:`plotly.graph_objects.isosurface.Caps` instance or dict with compatible properties cauto Determines whether or not the color domain is computed with respect to the input data (here `value`) or the bounds set in `cmin` and `cmax` Defaults to `false` when `cmin` and `cmax` are set by the user. cmax Sets the upper bound of the color domain. Value should have the same units as `value` and if set, `cmin` must be set as well. cmid Sets the mid-point of the color domain by scaling `cmin` and/or `cmax` to be equidistant to this point. Value should have the same units as `value`. Has no effect when `cauto` is `false`. cmin Sets the lower bound of the color domain. Value should have the same units as `value` and if set, `cmax` must be set as well. coloraxis Sets a reference to a shared color axis. References to these shared color axes are "coloraxis", "coloraxis2", "coloraxis3", etc. Settings for these shared color axes are set in the layout, under `layout.coloraxis`, `layout.coloraxis2`, etc. Note that multiple color scales can be linked to the same color axis. colorbar :class:`plotly.graph_objects.isosurface.ColorBar` instance or dict with compatible properties colorscale Sets the colorscale. The colorscale must be an array containing arrays mapping a normalized value to an rgb, rgba, hex, hsl, hsv, or named color string. At minimum, a mapping for the lowest (0) and highest (1) values are required. For example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the bounds of the colorscale in color space, use `cmin` and `cmax`. Alternatively, `colorscale` may be a palette name string of the following list: Blackbody,Bluered,Blues,C ividis,Earth,Electric,Greens,Greys,Hot,Jet,Picnic,Portl and,Rainbow,RdBu,Reds,Viridis,YlGnBu,YlOrRd. contour :class:`plotly.graph_objects.isosurface.Contour` instance or dict with compatible properties customdata Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, "scatter" traces also appends customdata items in the markers DOM elements customdatasrc Sets the source reference on Chart Studio Cloud for `customdata`. flatshading Determines whether or not normal smoothing is applied to the meshes, creating meshes with an angular, low- poly look via flat reflections. hoverinfo Determines which trace information appear on hover. If `none` or `skip` are set, no information is displayed upon hovering. But, if `none` is set, click and hover events are still fired. hoverinfosrc Sets the source reference on Chart Studio Cloud for `hoverinfo`. hoverlabel :class:`plotly.graph_objects.isosurface.Hoverlabel` instance or dict with compatible properties hovertemplate Template string used for rendering the information that appear on hover box. Note that this will override `hoverinfo`. Variables are inserted using %{variable}, for example "y: %{y}" as well as %{xother}, {%_xother}, {%_xother_}, {%xother_}. When showing info for several points, "xother" will be added to those with different x positions from the first point. An underscore before or after "(x|y)other" will add a space on that side, only when this field is shown. Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. The variables available in `hovertemplate` are the ones emitted as event data described at this link https://plotly.com/javascript/plotlyjs-events/#event- data. Additionally, every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. Anything contained in tag `` is displayed in the secondary box, for example "{fullData.name}". To hide the secondary box completely, use an empty tag ``. hovertemplatesrc Sets the source reference on Chart Studio Cloud for `hovertemplate`. hovertext Same as `text`. hovertextsrc Sets the source reference on Chart Studio Cloud for `hovertext`. ids Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type. idssrc Sets the source reference on Chart Studio Cloud for `ids`. isomax Sets the maximum boundary for iso-surface plot. isomin Sets the minimum boundary for iso-surface plot. legend Sets the reference to a legend to show this trace in. References to these legends are "legend", "legend2", "legend3", etc. Settings for these legends are set in the layout, under `layout.legend`, `layout.legend2`, etc. legendgroup Sets the legend group for this trace. Traces and shapes part of the same legend group hide/show at the same time when toggling legend items. legendgrouptitle :class:`plotly.graph_objects.isosurface.Legendgrouptitl e` instance or dict with compatible properties legendrank Sets the legend rank for this trace. Items and groups with smaller ranks are presented on top/left side while with "reversed" `legend.traceorder` they are on bottom/right side. The default legendrank is 1000, so that you can use ranks less than 1000 to place certain items before all unranked items, and ranks greater than 1000 to go after all unranked items. When having unranked or equal rank items shapes would be displayed after traces i.e. according to their order in data and layout. legendwidth Sets the width (in px or fraction) of the legend for this trace. lighting :class:`plotly.graph_objects.isosurface.Lighting` instance or dict with compatible properties lightposition :class:`plotly.graph_objects.isosurface.Lightposition` instance or dict with compatible properties meta Assigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace `name`, graph, axis and colorbar `title.text`, annotation `text` `rangeselector`, `updatemenues` and `sliders` `label` text all support `meta`. To access the trace `meta` values in an attribute in the same trace, simply use `%{meta[i]}` where `i` is the index or key of the `meta` item in question. To access trace `meta` in layout attributes, use `%{data[n[.meta[i]}` where `i` is the index or key of the `meta` and `n` is the trace index. metasrc Sets the source reference on Chart Studio Cloud for `meta`. name Sets the trace name. The trace name appears as the legend item and on hover. opacity Sets the opacity of the surface. Please note that in the case of using high `opacity` values for example a value greater than or equal to 0.5 on two surfaces (and 0.25 with four surfaces), an overlay of multiple transparent surfaces may not perfectly be sorted in depth by the webgl API. This behavior may be improved in the near future and is subject to change. reversescale Reverses the color mapping if true. If true, `cmin` will correspond to the last color in the array and `cmax` will correspond to the first color. scene Sets a reference between this trace's 3D coordinate system and a 3D scene. If "scene" (the default value), the (x,y,z) coordinates refer to `layout.scene`. If "scene2", the (x,y,z) coordinates refer to `layout.scene2`, and so on. showlegend Determines whether or not an item corresponding to this trace is shown in the legend. showscale Determines whether or not a colorbar is displayed for this trace. slices :class:`plotly.graph_objects.isosurface.Slices` instance or dict with compatible properties spaceframe :class:`plotly.graph_objects.isosurface.Spaceframe` instance or dict with compatible properties stream :class:`plotly.graph_objects.isosurface.Stream` instance or dict with compatible properties surface :class:`plotly.graph_objects.isosurface.Surface` instance or dict with compatible properties text Sets the text elements associated with the vertices. If trace `hoverinfo` contains a "text" flag and "hovertext" is not set, these elements will be seen in the hover labels. textsrc Sets the source reference on Chart Studio Cloud for `text`. uid Assign an id to this trace, Use this to provide object constancy between traces during animations and transitions. uirevision Controls persistence of some user-driven changes to the trace: `constraintrange` in `parcoords` traces, as well as some `editable: true` modifications such as `name` and `colorbar.title`. Defaults to `layout.uirevision`. Note that other user-driven trace attribute changes are controlled by `layout` attributes: `trace.visible` is controlled by `layout.legend.uirevision`, `selectedpoints` is controlled by `layout.selectionrevision`, and `colorbar.(x|y)` (accessible with `config: {editable: true}`) is controlled by `layout.editrevision`. Trace changes are tracked by `uid`, which only falls back on trace index if no `uid` is provided. So if your app can add/remove traces before the end of the `data` array, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace a `uid` that stays with it as it moves. value Sets the 4th dimension (value) of the vertices. valuehoverformat Sets the hover text formatting rulefor `value` using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d 3/d3-format/tree/v1.4.5#d3-format.By default the values are formatted using generic number format. valuesrc Sets the source reference on Chart Studio Cloud for `value`. visible Determines whether or not this trace is visible. If "legendonly", the trace is not drawn, but can appear as a legend item (provided that the legend itself is visible). x Sets the X coordinates of the vertices on X axis. xhoverformat Sets the hover text formatting rulefor `x` using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-format/tree/v1.4.5#d3-format. And for dates see: https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format. We add two items to d3's date formatter: "%h" for half of the year as a decimal number as well as "%{n}f" for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat "%H~%M~%S.%2f" would display *09~15~23.46*By default the values are formatted using `xaxis.hoverformat`. xsrc Sets the source reference on Chart Studio Cloud for `x`. y Sets the Y coordinates of the vertices on Y axis. yhoverformat Sets the hover text formatting rulefor `y` using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-format/tree/v1.4.5#d3-format. And for dates see: https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format. We add two items to d3's date formatter: "%h" for half of the year as a decimal number as well as "%{n}f" for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat "%H~%M~%S.%2f" would display *09~15~23.46*By default the values are formatted using `yaxis.hoverformat`. ysrc Sets the source reference on Chart Studio Cloud for `y`. z Sets the Z coordinates of the vertices on Z axis. zhoverformat Sets the hover text formatting rulefor `z` using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-format/tree/v1.4.5#d3-format. And for dates see: https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format. We add two items to d3's date formatter: "%h" for half of the year as a decimal number as well as "%{n}f" for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat "%H~%M~%S.%2f" would display *09~15~23.46*By default the values are formatted using `zaxis.hoverformat`. zsrc Sets the source reference on Chart Studio Cloud for `z`. row : 'all', int or None (default) Subplot row index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all rows in the specified column(s). col : 'all', int or None (default) Subplot col index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all columns in the specified row(s). Returns ------- FigureWidget """ from plotly.graph_objs import Isosurface new_trace = Isosurface( autocolorscale=autocolorscale, caps=caps, cauto=cauto, cmax=cmax, cmid=cmid, cmin=cmin, coloraxis=coloraxis, colorbar=colorbar, colorscale=colorscale, contour=contour, customdata=customdata, customdatasrc=customdatasrc, flatshading=flatshading, hoverinfo=hoverinfo, hoverinfosrc=hoverinfosrc, hoverlabel=hoverlabel, hovertemplate=hovertemplate, hovertemplatesrc=hovertemplatesrc, hovertext=hovertext, hovertextsrc=hovertextsrc, ids=ids, idssrc=idssrc, isomax=isomax, isomin=isomin, legend=legend, legendgroup=legendgroup, legendgrouptitle=legendgrouptitle, legendrank=legendrank, legendwidth=legendwidth, lighting=lighting, lightposition=lightposition, meta=meta, metasrc=metasrc, name=name, opacity=opacity, reversescale=reversescale, scene=scene, showlegend=showlegend, showscale=showscale, slices=slices, spaceframe=spaceframe, stream=stream, surface=surface, text=text, textsrc=textsrc, uid=uid, uirevision=uirevision, value=value, valuehoverformat=valuehoverformat, valuesrc=valuesrc, visible=visible, x=x, xhoverformat=xhoverformat, xsrc=xsrc, y=y, yhoverformat=yhoverformat, ysrc=ysrc, z=z, zhoverformat=zhoverformat, zsrc=zsrc, **kwargs, ) return self.add_trace(new_trace, row=row, col=col) def add_mesh3d( self, alphahull=None, autocolorscale=None, cauto=None, cmax=None, cmid=None, cmin=None, color=None, coloraxis=None, colorbar=None, colorscale=None, contour=None, customdata=None, customdatasrc=None, delaunayaxis=None, facecolor=None, facecolorsrc=None, flatshading=None, hoverinfo=None, hoverinfosrc=None, hoverlabel=None, hovertemplate=None, hovertemplatesrc=None, hovertext=None, hovertextsrc=None, i=None, ids=None, idssrc=None, intensity=None, intensitymode=None, intensitysrc=None, isrc=None, j=None, jsrc=None, k=None, ksrc=None, legend=None, legendgroup=None, legendgrouptitle=None, legendrank=None, legendwidth=None, lighting=None, lightposition=None, meta=None, metasrc=None, name=None, opacity=None, reversescale=None, scene=None, showlegend=None, showscale=None, stream=None, text=None, textsrc=None, uid=None, uirevision=None, vertexcolor=None, vertexcolorsrc=None, visible=None, x=None, xcalendar=None, xhoverformat=None, xsrc=None, y=None, ycalendar=None, yhoverformat=None, ysrc=None, z=None, zcalendar=None, zhoverformat=None, zsrc=None, row=None, col=None, **kwargs, ) -> "FigureWidget": """ Add a new Mesh3d trace Draws sets of triangles with coordinates given by three 1-dimensional arrays in `x`, `y`, `z` and (1) a sets of `i`, `j`, `k` indices (2) Delaunay triangulation or (3) the Alpha- shape algorithm or (4) the Convex-hull algorithm Parameters ---------- alphahull Determines how the mesh surface triangles are derived from the set of vertices (points) represented by the `x`, `y` and `z` arrays, if the `i`, `j`, `k` arrays are not supplied. For general use of `mesh3d` it is preferred that `i`, `j`, `k` are supplied. If "-1", Delaunay triangulation is used, which is mainly suitable if the mesh is a single, more or less layer surface that is perpendicular to `delaunayaxis`. In case the `delaunayaxis` intersects the mesh surface at more than one point it will result triangles that are very long in the dimension of `delaunayaxis`. If ">0", the alpha-shape algorithm is used. In this case, the positive `alphahull` value signals the use of the alpha-shape algorithm, _and_ its value acts as the parameter for the mesh fitting. If 0, the convex-hull algorithm is used. It is suitable for convex bodies or if the intention is to enclose the `x`, `y` and `z` point set into a convex hull. autocolorscale Determines whether the colorscale is a default palette (`autocolorscale: true`) or the palette determined by `colorscale`. In case `colorscale` is unspecified or `autocolorscale` is true, the default palette will be chosen according to whether numbers in the `color` array are all positive, all negative or mixed. cauto Determines whether or not the color domain is computed with respect to the input data (here `intensity`) or the bounds set in `cmin` and `cmax` Defaults to `false` when `cmin` and `cmax` are set by the user. cmax Sets the upper bound of the color domain. Value should have the same units as `intensity` and if set, `cmin` must be set as well. cmid Sets the mid-point of the color domain by scaling `cmin` and/or `cmax` to be equidistant to this point. Value should have the same units as `intensity`. Has no effect when `cauto` is `false`. cmin Sets the lower bound of the color domain. Value should have the same units as `intensity` and if set, `cmax` must be set as well. color Sets the color of the whole mesh coloraxis Sets a reference to a shared color axis. References to these shared color axes are "coloraxis", "coloraxis2", "coloraxis3", etc. Settings for these shared color axes are set in the layout, under `layout.coloraxis`, `layout.coloraxis2`, etc. Note that multiple color scales can be linked to the same color axis. colorbar :class:`plotly.graph_objects.mesh3d.ColorBar` instance or dict with compatible properties colorscale Sets the colorscale. The colorscale must be an array containing arrays mapping a normalized value to an rgb, rgba, hex, hsl, hsv, or named color string. At minimum, a mapping for the lowest (0) and highest (1) values are required. For example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the bounds of the colorscale in color space, use `cmin` and `cmax`. Alternatively, `colorscale` may be a palette name string of the following list: Blackbody,Bluered,Blues,C ividis,Earth,Electric,Greens,Greys,Hot,Jet,Picnic,Portl and,Rainbow,RdBu,Reds,Viridis,YlGnBu,YlOrRd. contour :class:`plotly.graph_objects.mesh3d.Contour` instance or dict with compatible properties customdata Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, "scatter" traces also appends customdata items in the markers DOM elements customdatasrc Sets the source reference on Chart Studio Cloud for `customdata`. delaunayaxis Sets the Delaunay axis, which is the axis that is perpendicular to the surface of the Delaunay triangulation. It has an effect if `i`, `j`, `k` are not provided and `alphahull` is set to indicate Delaunay triangulation. facecolor Sets the color of each face Overrides "color" and "vertexcolor". facecolorsrc Sets the source reference on Chart Studio Cloud for `facecolor`. flatshading Determines whether or not normal smoothing is applied to the meshes, creating meshes with an angular, low- poly look via flat reflections. hoverinfo Determines which trace information appear on hover. If `none` or `skip` are set, no information is displayed upon hovering. But, if `none` is set, click and hover events are still fired. hoverinfosrc Sets the source reference on Chart Studio Cloud for `hoverinfo`. hoverlabel :class:`plotly.graph_objects.mesh3d.Hoverlabel` instance or dict with compatible properties hovertemplate Template string used for rendering the information that appear on hover box. Note that this will override `hoverinfo`. Variables are inserted using %{variable}, for example "y: %{y}" as well as %{xother}, {%_xother}, {%_xother_}, {%xother_}. When showing info for several points, "xother" will be added to those with different x positions from the first point. An underscore before or after "(x|y)other" will add a space on that side, only when this field is shown. Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. The variables available in `hovertemplate` are the ones emitted as event data described at this link https://plotly.com/javascript/plotlyjs-events/#event- data. Additionally, every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. Anything contained in tag `` is displayed in the secondary box, for example "{fullData.name}". To hide the secondary box completely, use an empty tag ``. hovertemplatesrc Sets the source reference on Chart Studio Cloud for `hovertemplate`. hovertext Same as `text`. hovertextsrc Sets the source reference on Chart Studio Cloud for `hovertext`. i A vector of vertex indices, i.e. integer values between 0 and the length of the vertex vectors, representing the "first" vertex of a triangle. For example, `{i[m], j[m], k[m]}` together represent face m (triangle m) in the mesh, where `i[m] = n` points to the triplet `{x[n], y[n], z[n]}` in the vertex arrays. Therefore, each element in `i` represents a point in space, which is the first vertex of a triangle. ids Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type. idssrc Sets the source reference on Chart Studio Cloud for `ids`. intensity Sets the intensity values for vertices or cells as defined by `intensitymode`. It can be used for plotting fields on meshes. intensitymode Determines the source of `intensity` values. intensitysrc Sets the source reference on Chart Studio Cloud for `intensity`. isrc Sets the source reference on Chart Studio Cloud for `i`. j A vector of vertex indices, i.e. integer values between 0 and the length of the vertex vectors, representing the "second" vertex of a triangle. For example, `{i[m], j[m], k[m]}` together represent face m (triangle m) in the mesh, where `j[m] = n` points to the triplet `{x[n], y[n], z[n]}` in the vertex arrays. Therefore, each element in `j` represents a point in space, which is the second vertex of a triangle. jsrc Sets the source reference on Chart Studio Cloud for `j`. k A vector of vertex indices, i.e. integer values between 0 and the length of the vertex vectors, representing the "third" vertex of a triangle. For example, `{i[m], j[m], k[m]}` together represent face m (triangle m) in the mesh, where `k[m] = n` points to the triplet `{x[n], y[n], z[n]}` in the vertex arrays. Therefore, each element in `k` represents a point in space, which is the third vertex of a triangle. ksrc Sets the source reference on Chart Studio Cloud for `k`. legend Sets the reference to a legend to show this trace in. References to these legends are "legend", "legend2", "legend3", etc. Settings for these legends are set in the layout, under `layout.legend`, `layout.legend2`, etc. legendgroup Sets the legend group for this trace. Traces and shapes part of the same legend group hide/show at the same time when toggling legend items. legendgrouptitle :class:`plotly.graph_objects.mesh3d.Legendgrouptitle` instance or dict with compatible properties legendrank Sets the legend rank for this trace. Items and groups with smaller ranks are presented on top/left side while with "reversed" `legend.traceorder` they are on bottom/right side. The default legendrank is 1000, so that you can use ranks less than 1000 to place certain items before all unranked items, and ranks greater than 1000 to go after all unranked items. When having unranked or equal rank items shapes would be displayed after traces i.e. according to their order in data and layout. legendwidth Sets the width (in px or fraction) of the legend for this trace. lighting :class:`plotly.graph_objects.mesh3d.Lighting` instance or dict with compatible properties lightposition :class:`plotly.graph_objects.mesh3d.Lightposition` instance or dict with compatible properties meta Assigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace `name`, graph, axis and colorbar `title.text`, annotation `text` `rangeselector`, `updatemenues` and `sliders` `label` text all support `meta`. To access the trace `meta` values in an attribute in the same trace, simply use `%{meta[i]}` where `i` is the index or key of the `meta` item in question. To access trace `meta` in layout attributes, use `%{data[n[.meta[i]}` where `i` is the index or key of the `meta` and `n` is the trace index. metasrc Sets the source reference on Chart Studio Cloud for `meta`. name Sets the trace name. The trace name appears as the legend item and on hover. opacity Sets the opacity of the surface. Please note that in the case of using high `opacity` values for example a value greater than or equal to 0.5 on two surfaces (and 0.25 with four surfaces), an overlay of multiple transparent surfaces may not perfectly be sorted in depth by the webgl API. This behavior may be improved in the near future and is subject to change. reversescale Reverses the color mapping if true. If true, `cmin` will correspond to the last color in the array and `cmax` will correspond to the first color. scene Sets a reference between this trace's 3D coordinate system and a 3D scene. If "scene" (the default value), the (x,y,z) coordinates refer to `layout.scene`. If "scene2", the (x,y,z) coordinates refer to `layout.scene2`, and so on. showlegend Determines whether or not an item corresponding to this trace is shown in the legend. showscale Determines whether or not a colorbar is displayed for this trace. stream :class:`plotly.graph_objects.mesh3d.Stream` instance or dict with compatible properties text Sets the text elements associated with the vertices. If trace `hoverinfo` contains a "text" flag and "hovertext" is not set, these elements will be seen in the hover labels. textsrc Sets the source reference on Chart Studio Cloud for `text`. uid Assign an id to this trace, Use this to provide object constancy between traces during animations and transitions. uirevision Controls persistence of some user-driven changes to the trace: `constraintrange` in `parcoords` traces, as well as some `editable: true` modifications such as `name` and `colorbar.title`. Defaults to `layout.uirevision`. Note that other user-driven trace attribute changes are controlled by `layout` attributes: `trace.visible` is controlled by `layout.legend.uirevision`, `selectedpoints` is controlled by `layout.selectionrevision`, and `colorbar.(x|y)` (accessible with `config: {editable: true}`) is controlled by `layout.editrevision`. Trace changes are tracked by `uid`, which only falls back on trace index if no `uid` is provided. So if your app can add/remove traces before the end of the `data` array, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace a `uid` that stays with it as it moves. vertexcolor Sets the color of each vertex Overrides "color". While Red, green and blue colors are in the range of 0 and 255; in the case of having vertex color data in RGBA format, the alpha color should be normalized to be between 0 and 1. vertexcolorsrc Sets the source reference on Chart Studio Cloud for `vertexcolor`. visible Determines whether or not this trace is visible. If "legendonly", the trace is not drawn, but can appear as a legend item (provided that the legend itself is visible). x Sets the X coordinates of the vertices. The nth element of vectors `x`, `y` and `z` jointly represent the X, Y and Z coordinates of the nth vertex. xcalendar Sets the calendar system to use with `x` date data. xhoverformat Sets the hover text formatting rulefor `x` using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-format/tree/v1.4.5#d3-format. And for dates see: https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format. We add two items to d3's date formatter: "%h" for half of the year as a decimal number as well as "%{n}f" for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat "%H~%M~%S.%2f" would display *09~15~23.46*By default the values are formatted using `xaxis.hoverformat`. xsrc Sets the source reference on Chart Studio Cloud for `x`. y Sets the Y coordinates of the vertices. The nth element of vectors `x`, `y` and `z` jointly represent the X, Y and Z coordinates of the nth vertex. ycalendar Sets the calendar system to use with `y` date data. yhoverformat Sets the hover text formatting rulefor `y` using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-format/tree/v1.4.5#d3-format. And for dates see: https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format. We add two items to d3's date formatter: "%h" for half of the year as a decimal number as well as "%{n}f" for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat "%H~%M~%S.%2f" would display *09~15~23.46*By default the values are formatted using `yaxis.hoverformat`. ysrc Sets the source reference on Chart Studio Cloud for `y`. z Sets the Z coordinates of the vertices. The nth element of vectors `x`, `y` and `z` jointly represent the X, Y and Z coordinates of the nth vertex. zcalendar Sets the calendar system to use with `z` date data. zhoverformat Sets the hover text formatting rulefor `z` using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-format/tree/v1.4.5#d3-format. And for dates see: https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format. We add two items to d3's date formatter: "%h" for half of the year as a decimal number as well as "%{n}f" for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat "%H~%M~%S.%2f" would display *09~15~23.46*By default the values are formatted using `zaxis.hoverformat`. zsrc Sets the source reference on Chart Studio Cloud for `z`. row : 'all', int or None (default) Subplot row index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all rows in the specified column(s). col : 'all', int or None (default) Subplot col index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all columns in the specified row(s). Returns ------- FigureWidget """ from plotly.graph_objs import Mesh3d new_trace = Mesh3d( alphahull=alphahull, autocolorscale=autocolorscale, cauto=cauto, cmax=cmax, cmid=cmid, cmin=cmin, color=color, coloraxis=coloraxis, colorbar=colorbar, colorscale=colorscale, contour=contour, customdata=customdata, customdatasrc=customdatasrc, delaunayaxis=delaunayaxis, facecolor=facecolor, facecolorsrc=facecolorsrc, flatshading=flatshading, hoverinfo=hoverinfo, hoverinfosrc=hoverinfosrc, hoverlabel=hoverlabel, hovertemplate=hovertemplate, hovertemplatesrc=hovertemplatesrc, hovertext=hovertext, hovertextsrc=hovertextsrc, i=i, ids=ids, idssrc=idssrc, intensity=intensity, intensitymode=intensitymode, intensitysrc=intensitysrc, isrc=isrc, j=j, jsrc=jsrc, k=k, ksrc=ksrc, legend=legend, legendgroup=legendgroup, legendgrouptitle=legendgrouptitle, legendrank=legendrank, legendwidth=legendwidth, lighting=lighting, lightposition=lightposition, meta=meta, metasrc=metasrc, name=name, opacity=opacity, reversescale=reversescale, scene=scene, showlegend=showlegend, showscale=showscale, stream=stream, text=text, textsrc=textsrc, uid=uid, uirevision=uirevision, vertexcolor=vertexcolor, vertexcolorsrc=vertexcolorsrc, visible=visible, x=x, xcalendar=xcalendar, xhoverformat=xhoverformat, xsrc=xsrc, y=y, ycalendar=ycalendar, yhoverformat=yhoverformat, ysrc=ysrc, z=z, zcalendar=zcalendar, zhoverformat=zhoverformat, zsrc=zsrc, **kwargs, ) return self.add_trace(new_trace, row=row, col=col) def add_ohlc( self, close=None, closesrc=None, customdata=None, customdatasrc=None, decreasing=None, high=None, highsrc=None, hoverinfo=None, hoverinfosrc=None, hoverlabel=None, hovertext=None, hovertextsrc=None, ids=None, idssrc=None, increasing=None, legend=None, legendgroup=None, legendgrouptitle=None, legendrank=None, legendwidth=None, line=None, low=None, lowsrc=None, meta=None, metasrc=None, name=None, opacity=None, open=None, opensrc=None, selectedpoints=None, showlegend=None, stream=None, text=None, textsrc=None, tickwidth=None, uid=None, uirevision=None, visible=None, x=None, xaxis=None, xcalendar=None, xhoverformat=None, xperiod=None, xperiod0=None, xperiodalignment=None, xsrc=None, yaxis=None, yhoverformat=None, zorder=None, row=None, col=None, secondary_y=None, **kwargs, ) -> "FigureWidget": """ Add a new Ohlc trace The ohlc (short for Open-High-Low-Close) is a style of financial chart describing open, high, low and close for a given `x` coordinate (most likely time). The tip of the lines represent the `low` and `high` values and the horizontal segments represent the `open` and `close` values. Sample points where the close value is higher (lower) then the open value are called increasing (decreasing). By default, increasing items are drawn in green whereas decreasing are drawn in red. Parameters ---------- close Sets the close values. closesrc Sets the source reference on Chart Studio Cloud for `close`. customdata Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, "scatter" traces also appends customdata items in the markers DOM elements customdatasrc Sets the source reference on Chart Studio Cloud for `customdata`. decreasing :class:`plotly.graph_objects.ohlc.Decreasing` instance or dict with compatible properties high Sets the high values. highsrc Sets the source reference on Chart Studio Cloud for `high`. hoverinfo Determines which trace information appear on hover. If `none` or `skip` are set, no information is displayed upon hovering. But, if `none` is set, click and hover events are still fired. hoverinfosrc Sets the source reference on Chart Studio Cloud for `hoverinfo`. hoverlabel :class:`plotly.graph_objects.ohlc.Hoverlabel` instance or dict with compatible properties hovertext Same as `text`. hovertextsrc Sets the source reference on Chart Studio Cloud for `hovertext`. ids Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type. idssrc Sets the source reference on Chart Studio Cloud for `ids`. increasing :class:`plotly.graph_objects.ohlc.Increasing` instance or dict with compatible properties legend Sets the reference to a legend to show this trace in. References to these legends are "legend", "legend2", "legend3", etc. Settings for these legends are set in the layout, under `layout.legend`, `layout.legend2`, etc. legendgroup Sets the legend group for this trace. Traces and shapes part of the same legend group hide/show at the same time when toggling legend items. legendgrouptitle :class:`plotly.graph_objects.ohlc.Legendgrouptitle` instance or dict with compatible properties legendrank Sets the legend rank for this trace. Items and groups with smaller ranks are presented on top/left side while with "reversed" `legend.traceorder` they are on bottom/right side. The default legendrank is 1000, so that you can use ranks less than 1000 to place certain items before all unranked items, and ranks greater than 1000 to go after all unranked items. When having unranked or equal rank items shapes would be displayed after traces i.e. according to their order in data and layout. legendwidth Sets the width (in px or fraction) of the legend for this trace. line :class:`plotly.graph_objects.ohlc.Line` instance or dict with compatible properties low Sets the low values. lowsrc Sets the source reference on Chart Studio Cloud for `low`. meta Assigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace `name`, graph, axis and colorbar `title.text`, annotation `text` `rangeselector`, `updatemenues` and `sliders` `label` text all support `meta`. To access the trace `meta` values in an attribute in the same trace, simply use `%{meta[i]}` where `i` is the index or key of the `meta` item in question. To access trace `meta` in layout attributes, use `%{data[n[.meta[i]}` where `i` is the index or key of the `meta` and `n` is the trace index. metasrc Sets the source reference on Chart Studio Cloud for `meta`. name Sets the trace name. The trace name appears as the legend item and on hover. opacity Sets the opacity of the trace. open Sets the open values. opensrc Sets the source reference on Chart Studio Cloud for `open`. selectedpoints Array containing integer indices of selected points. Has an effect only for traces that support selections. Note that an empty array means an empty selection where the `unselected` are turned on for all points, whereas, any other non-array values means no selection all where the `selected` and `unselected` styles have no effect. showlegend Determines whether or not an item corresponding to this trace is shown in the legend. stream :class:`plotly.graph_objects.ohlc.Stream` instance or dict with compatible properties text Sets hover text elements associated with each sample point. If a single string, the same string appears over all the data points. If an array of string, the items are mapped in order to this trace's sample points. textsrc Sets the source reference on Chart Studio Cloud for `text`. tickwidth Sets the width of the open/close tick marks relative to the "x" minimal interval. uid Assign an id to this trace, Use this to provide object constancy between traces during animations and transitions. uirevision Controls persistence of some user-driven changes to the trace: `constraintrange` in `parcoords` traces, as well as some `editable: true` modifications such as `name` and `colorbar.title`. Defaults to `layout.uirevision`. Note that other user-driven trace attribute changes are controlled by `layout` attributes: `trace.visible` is controlled by `layout.legend.uirevision`, `selectedpoints` is controlled by `layout.selectionrevision`, and `colorbar.(x|y)` (accessible with `config: {editable: true}`) is controlled by `layout.editrevision`. Trace changes are tracked by `uid`, which only falls back on trace index if no `uid` is provided. So if your app can add/remove traces before the end of the `data` array, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace a `uid` that stays with it as it moves. visible Determines whether or not this trace is visible. If "legendonly", the trace is not drawn, but can appear as a legend item (provided that the legend itself is visible). x Sets the x coordinates. If absent, linear coordinate will be generated. xaxis Sets a reference between this trace's x coordinates and a 2D cartesian x axis. If "x" (the default value), the x coordinates refer to `layout.xaxis`. If "x2", the x coordinates refer to `layout.xaxis2`, and so on. xcalendar Sets the calendar system to use with `x` date data. xhoverformat Sets the hover text formatting rulefor `x` using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-format/tree/v1.4.5#d3-format. And for dates see: https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format. We add two items to d3's date formatter: "%h" for half of the year as a decimal number as well as "%{n}f" for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat "%H~%M~%S.%2f" would display *09~15~23.46*By default the values are formatted using `xaxis.hoverformat`. xperiod Only relevant when the axis `type` is "date". Sets the period positioning in milliseconds or "M" on the x axis. Special values in the form of "M" could be used to declare the number of months. In this case `n` must be a positive integer. xperiod0 Only relevant when the axis `type` is "date". Sets the base for period positioning in milliseconds or date string on the x0 axis. When `x0period` is round number of weeks, the `x0period0` by default would be on a Sunday i.e. 2000-01-02, otherwise it would be at 2000-01-01. xperiodalignment Only relevant when the axis `type` is "date". Sets the alignment of data points on the x axis. xsrc Sets the source reference on Chart Studio Cloud for `x`. yaxis Sets a reference between this trace's y coordinates and a 2D cartesian y axis. If "y" (the default value), the y coordinates refer to `layout.yaxis`. If "y2", the y coordinates refer to `layout.yaxis2`, and so on. yhoverformat Sets the hover text formatting rulefor `y` using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-format/tree/v1.4.5#d3-format. And for dates see: https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format. We add two items to d3's date formatter: "%h" for half of the year as a decimal number as well as "%{n}f" for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat "%H~%M~%S.%2f" would display *09~15~23.46*By default the values are formatted using `yaxis.hoverformat`. zorder Sets the layer on which this trace is displayed, relative to other SVG traces on the same subplot. SVG traces with higher `zorder` appear in front of those with lower `zorder`. row : 'all', int or None (default) Subplot row index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all rows in the specified column(s). col : 'all', int or None (default) Subplot col index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all columns in the specified row(s). secondary_y: boolean or None (default None) If True, associate this trace with the secondary y-axis of the subplot at the specified row and col. Only valid if all of the following conditions are satisfied: * The figure was created using `plotly.subplots.make_subplots`. * The row and col arguments are not None * The subplot at the specified row and col has type xy (which is the default) and secondary_y True. These properties are specified in the specs argument to make_subplots. See the make_subplots docstring for more info. Returns ------- FigureWidget """ from plotly.graph_objs import Ohlc new_trace = Ohlc( close=close, closesrc=closesrc, customdata=customdata, customdatasrc=customdatasrc, decreasing=decreasing, high=high, highsrc=highsrc, hoverinfo=hoverinfo, hoverinfosrc=hoverinfosrc, hoverlabel=hoverlabel, hovertext=hovertext, hovertextsrc=hovertextsrc, ids=ids, idssrc=idssrc, increasing=increasing, legend=legend, legendgroup=legendgroup, legendgrouptitle=legendgrouptitle, legendrank=legendrank, legendwidth=legendwidth, line=line, low=low, lowsrc=lowsrc, meta=meta, metasrc=metasrc, name=name, opacity=opacity, open=open, opensrc=opensrc, selectedpoints=selectedpoints, showlegend=showlegend, stream=stream, text=text, textsrc=textsrc, tickwidth=tickwidth, uid=uid, uirevision=uirevision, visible=visible, x=x, xaxis=xaxis, xcalendar=xcalendar, xhoverformat=xhoverformat, xperiod=xperiod, xperiod0=xperiod0, xperiodalignment=xperiodalignment, xsrc=xsrc, yaxis=yaxis, yhoverformat=yhoverformat, zorder=zorder, **kwargs, ) return self.add_trace(new_trace, row=row, col=col, secondary_y=secondary_y) def add_parcats( self, arrangement=None, bundlecolors=None, counts=None, countssrc=None, dimensions=None, dimensiondefaults=None, domain=None, hoverinfo=None, hoveron=None, hovertemplate=None, labelfont=None, legendgrouptitle=None, legendwidth=None, line=None, meta=None, metasrc=None, name=None, sortpaths=None, stream=None, tickfont=None, uid=None, uirevision=None, visible=None, row=None, col=None, **kwargs, ) -> "FigureWidget": """ Add a new Parcats trace Parallel categories diagram for multidimensional categorical data. Parameters ---------- arrangement Sets the drag interaction mode for categories and dimensions. If `perpendicular`, the categories can only move along a line perpendicular to the paths. If `freeform`, the categories can freely move on the plane. If `fixed`, the categories and dimensions are stationary. bundlecolors Sort paths so that like colors are bundled together within each category. counts The number of observations represented by each state. Defaults to 1 so that each state represents one observation countssrc Sets the source reference on Chart Studio Cloud for `counts`. dimensions The dimensions (variables) of the parallel categories diagram. dimensiondefaults When used in a template (as layout.template.data.parcats.dimensiondefaults), sets the default property values to use for elements of parcats.dimensions domain :class:`plotly.graph_objects.parcats.Domain` instance or dict with compatible properties hoverinfo Determines which trace information appear on hover. If `none` or `skip` are set, no information is displayed upon hovering. But, if `none` is set, click and hover events are still fired. hoveron Sets the hover interaction mode for the parcats diagram. If `category`, hover interaction take place per category. If `color`, hover interactions take place per color per category. If `dimension`, hover interactions take place across all categories per dimension. hovertemplate Template string used for rendering the information that appear on hover box. Note that this will override `hoverinfo`. Variables are inserted using %{variable}, for example "y: %{y}" as well as %{xother}, {%_xother}, {%_xother_}, {%xother_}. When showing info for several points, "xother" will be added to those with different x positions from the first point. An underscore before or after "(x|y)other" will add a space on that side, only when this field is shown. Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. The variables available in `hovertemplate` are the ones emitted as event data described at this link https://plotly.com/javascript/plotlyjs-events/#event- data. Additionally, every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. This value here applies when hovering over dimensions. Note that `*categorycount`, "colorcount" and "bandcolorcount" are only available when `hoveron` contains the "color" flagFinally, the template string has access to variables `count`, `probability`, `category`, `categorycount`, `colorcount` and `bandcolorcount`. Anything contained in tag `` is displayed in the secondary box, for example "{fullData.name}". To hide the secondary box completely, use an empty tag ``. labelfont Sets the font for the `dimension` labels. legendgrouptitle :class:`plotly.graph_objects.parcats.Legendgrouptitle` instance or dict with compatible properties legendwidth Sets the width (in px or fraction) of the legend for this trace. line :class:`plotly.graph_objects.parcats.Line` instance or dict with compatible properties meta Assigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace `name`, graph, axis and colorbar `title.text`, annotation `text` `rangeselector`, `updatemenues` and `sliders` `label` text all support `meta`. To access the trace `meta` values in an attribute in the same trace, simply use `%{meta[i]}` where `i` is the index or key of the `meta` item in question. To access trace `meta` in layout attributes, use `%{data[n[.meta[i]}` where `i` is the index or key of the `meta` and `n` is the trace index. metasrc Sets the source reference on Chart Studio Cloud for `meta`. name Sets the trace name. The trace name appears as the legend item and on hover. sortpaths Sets the path sorting algorithm. If `forward`, sort paths based on dimension categories from left to right. If `backward`, sort paths based on dimensions categories from right to left. stream :class:`plotly.graph_objects.parcats.Stream` instance or dict with compatible properties tickfont Sets the font for the `category` labels. uid Assign an id to this trace, Use this to provide object constancy between traces during animations and transitions. uirevision Controls persistence of some user-driven changes to the trace: `constraintrange` in `parcoords` traces, as well as some `editable: true` modifications such as `name` and `colorbar.title`. Defaults to `layout.uirevision`. Note that other user-driven trace attribute changes are controlled by `layout` attributes: `trace.visible` is controlled by `layout.legend.uirevision`, `selectedpoints` is controlled by `layout.selectionrevision`, and `colorbar.(x|y)` (accessible with `config: {editable: true}`) is controlled by `layout.editrevision`. Trace changes are tracked by `uid`, which only falls back on trace index if no `uid` is provided. So if your app can add/remove traces before the end of the `data` array, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace a `uid` that stays with it as it moves. visible Determines whether or not this trace is visible. If "legendonly", the trace is not drawn, but can appear as a legend item (provided that the legend itself is visible). row : 'all', int or None (default) Subplot row index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all rows in the specified column(s). col : 'all', int or None (default) Subplot col index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all columns in the specified row(s). Returns ------- FigureWidget """ from plotly.graph_objs import Parcats new_trace = Parcats( arrangement=arrangement, bundlecolors=bundlecolors, counts=counts, countssrc=countssrc, dimensions=dimensions, dimensiondefaults=dimensiondefaults, domain=domain, hoverinfo=hoverinfo, hoveron=hoveron, hovertemplate=hovertemplate, labelfont=labelfont, legendgrouptitle=legendgrouptitle, legendwidth=legendwidth, line=line, meta=meta, metasrc=metasrc, name=name, sortpaths=sortpaths, stream=stream, tickfont=tickfont, uid=uid, uirevision=uirevision, visible=visible, **kwargs, ) return self.add_trace(new_trace, row=row, col=col) def add_parcoords( self, customdata=None, customdatasrc=None, dimensions=None, dimensiondefaults=None, domain=None, ids=None, idssrc=None, labelangle=None, labelfont=None, labelside=None, legend=None, legendgrouptitle=None, legendrank=None, legendwidth=None, line=None, meta=None, metasrc=None, name=None, rangefont=None, stream=None, tickfont=None, uid=None, uirevision=None, unselected=None, visible=None, row=None, col=None, **kwargs, ) -> "FigureWidget": """ Add a new Parcoords trace Parallel coordinates for multidimensional exploratory data analysis. The samples are specified in `dimensions`. The colors are set in `line.color`. Parameters ---------- customdata Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, "scatter" traces also appends customdata items in the markers DOM elements customdatasrc Sets the source reference on Chart Studio Cloud for `customdata`. dimensions The dimensions (variables) of the parallel coordinates chart. 2..60 dimensions are supported. dimensiondefaults When used in a template (as layout.template.data.parcoords.dimensiondefaults), sets the default property values to use for elements of parcoords.dimensions domain :class:`plotly.graph_objects.parcoords.Domain` instance or dict with compatible properties ids Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type. idssrc Sets the source reference on Chart Studio Cloud for `ids`. labelangle Sets the angle of the labels with respect to the horizontal. For example, a `tickangle` of -90 draws the labels vertically. Tilted labels with "labelangle" may be positioned better inside margins when `labelposition` is set to "bottom". labelfont Sets the font for the `dimension` labels. labelside Specifies the location of the `label`. "top" positions labels above, next to the title "bottom" positions labels below the graph Tilted labels with "labelangle" may be positioned better inside margins when `labelposition` is set to "bottom". legend Sets the reference to a legend to show this trace in. References to these legends are "legend", "legend2", "legend3", etc. Settings for these legends are set in the layout, under `layout.legend`, `layout.legend2`, etc. legendgrouptitle :class:`plotly.graph_objects.parcoords.Legendgrouptitle ` instance or dict with compatible properties legendrank Sets the legend rank for this trace. Items and groups with smaller ranks are presented on top/left side while with "reversed" `legend.traceorder` they are on bottom/right side. The default legendrank is 1000, so that you can use ranks less than 1000 to place certain items before all unranked items, and ranks greater than 1000 to go after all unranked items. When having unranked or equal rank items shapes would be displayed after traces i.e. according to their order in data and layout. legendwidth Sets the width (in px or fraction) of the legend for this trace. line :class:`plotly.graph_objects.parcoords.Line` instance or dict with compatible properties meta Assigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace `name`, graph, axis and colorbar `title.text`, annotation `text` `rangeselector`, `updatemenues` and `sliders` `label` text all support `meta`. To access the trace `meta` values in an attribute in the same trace, simply use `%{meta[i]}` where `i` is the index or key of the `meta` item in question. To access trace `meta` in layout attributes, use `%{data[n[.meta[i]}` where `i` is the index or key of the `meta` and `n` is the trace index. metasrc Sets the source reference on Chart Studio Cloud for `meta`. name Sets the trace name. The trace name appears as the legend item and on hover. rangefont Sets the font for the `dimension` range values. stream :class:`plotly.graph_objects.parcoords.Stream` instance or dict with compatible properties tickfont Sets the font for the `dimension` tick values. uid Assign an id to this trace, Use this to provide object constancy between traces during animations and transitions. uirevision Controls persistence of some user-driven changes to the trace: `constraintrange` in `parcoords` traces, as well as some `editable: true` modifications such as `name` and `colorbar.title`. Defaults to `layout.uirevision`. Note that other user-driven trace attribute changes are controlled by `layout` attributes: `trace.visible` is controlled by `layout.legend.uirevision`, `selectedpoints` is controlled by `layout.selectionrevision`, and `colorbar.(x|y)` (accessible with `config: {editable: true}`) is controlled by `layout.editrevision`. Trace changes are tracked by `uid`, which only falls back on trace index if no `uid` is provided. So if your app can add/remove traces before the end of the `data` array, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace a `uid` that stays with it as it moves. unselected :class:`plotly.graph_objects.parcoords.Unselected` instance or dict with compatible properties visible Determines whether or not this trace is visible. If "legendonly", the trace is not drawn, but can appear as a legend item (provided that the legend itself is visible). row : 'all', int or None (default) Subplot row index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all rows in the specified column(s). col : 'all', int or None (default) Subplot col index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all columns in the specified row(s). Returns ------- FigureWidget """ from plotly.graph_objs import Parcoords new_trace = Parcoords( customdata=customdata, customdatasrc=customdatasrc, dimensions=dimensions, dimensiondefaults=dimensiondefaults, domain=domain, ids=ids, idssrc=idssrc, labelangle=labelangle, labelfont=labelfont, labelside=labelside, legend=legend, legendgrouptitle=legendgrouptitle, legendrank=legendrank, legendwidth=legendwidth, line=line, meta=meta, metasrc=metasrc, name=name, rangefont=rangefont, stream=stream, tickfont=tickfont, uid=uid, uirevision=uirevision, unselected=unselected, visible=visible, **kwargs, ) return self.add_trace(new_trace, row=row, col=col) def add_pie( self, automargin=None, customdata=None, customdatasrc=None, direction=None, dlabel=None, domain=None, hole=None, hoverinfo=None, hoverinfosrc=None, hoverlabel=None, hovertemplate=None, hovertemplatesrc=None, hovertext=None, hovertextsrc=None, ids=None, idssrc=None, insidetextfont=None, insidetextorientation=None, label0=None, labels=None, labelssrc=None, legend=None, legendgroup=None, legendgrouptitle=None, legendrank=None, legendwidth=None, marker=None, meta=None, metasrc=None, name=None, opacity=None, outsidetextfont=None, pull=None, pullsrc=None, rotation=None, scalegroup=None, showlegend=None, sort=None, stream=None, text=None, textfont=None, textinfo=None, textposition=None, textpositionsrc=None, textsrc=None, texttemplate=None, texttemplatesrc=None, title=None, uid=None, uirevision=None, values=None, valuessrc=None, visible=None, row=None, col=None, **kwargs, ) -> "FigureWidget": """ Add a new Pie trace A data visualized by the sectors of the pie is set in `values`. The sector labels are set in `labels`. The sector colors are set in `marker.colors` Parameters ---------- automargin Determines whether outside text labels can push the margins. customdata Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, "scatter" traces also appends customdata items in the markers DOM elements customdatasrc Sets the source reference on Chart Studio Cloud for `customdata`. direction Specifies the direction at which succeeding sectors follow one another. dlabel Sets the label step. See `label0` for more info. domain :class:`plotly.graph_objects.pie.Domain` instance or dict with compatible properties hole Sets the fraction of the radius to cut out of the pie. Use this to make a donut chart. hoverinfo Determines which trace information appear on hover. If `none` or `skip` are set, no information is displayed upon hovering. But, if `none` is set, click and hover events are still fired. hoverinfosrc Sets the source reference on Chart Studio Cloud for `hoverinfo`. hoverlabel :class:`plotly.graph_objects.pie.Hoverlabel` instance or dict with compatible properties hovertemplate Template string used for rendering the information that appear on hover box. Note that this will override `hoverinfo`. Variables are inserted using %{variable}, for example "y: %{y}" as well as %{xother}, {%_xother}, {%_xother_}, {%xother_}. When showing info for several points, "xother" will be added to those with different x positions from the first point. An underscore before or after "(x|y)other" will add a space on that side, only when this field is shown. Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. The variables available in `hovertemplate` are the ones emitted as event data described at this link https://plotly.com/javascript/plotlyjs-events/#event- data. Additionally, every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. Finally, the template string has access to variables `label`, `color`, `value`, `percent` and `text`. Anything contained in tag `` is displayed in the secondary box, for example "{fullData.name}". To hide the secondary box completely, use an empty tag ``. hovertemplatesrc Sets the source reference on Chart Studio Cloud for `hovertemplate`. hovertext Sets hover text elements associated with each sector. If a single string, the same string appears for all data points. If an array of string, the items are mapped in order of this trace's sectors. To be seen, trace `hoverinfo` must contain a "text" flag. hovertextsrc Sets the source reference on Chart Studio Cloud for `hovertext`. ids Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type. idssrc Sets the source reference on Chart Studio Cloud for `ids`. insidetextfont Sets the font used for `textinfo` lying inside the sector. insidetextorientation Controls the orientation of the text inside chart sectors. When set to "auto", text may be oriented in any direction in order to be as big as possible in the middle of a sector. The "horizontal" option orients text to be parallel with the bottom of the chart, and may make text smaller in order to achieve that goal. The "radial" option orients text along the radius of the sector. The "tangential" option orients text perpendicular to the radius of the sector. label0 Alternate to `labels`. Builds a numeric set of labels. Use with `dlabel` where `label0` is the starting label and `dlabel` the step. labels Sets the sector labels. If `labels` entries are duplicated, we sum associated `values` or simply count occurrences if `values` is not provided. For other array attributes (including color) we use the first non-empty entry among all occurrences of the label. labelssrc Sets the source reference on Chart Studio Cloud for `labels`. legend Sets the reference to a legend to show this trace in. References to these legends are "legend", "legend2", "legend3", etc. Settings for these legends are set in the layout, under `layout.legend`, `layout.legend2`, etc. legendgroup Sets the legend group for this trace. Traces and shapes part of the same legend group hide/show at the same time when toggling legend items. legendgrouptitle :class:`plotly.graph_objects.pie.Legendgrouptitle` instance or dict with compatible properties legendrank Sets the legend rank for this trace. Items and groups with smaller ranks are presented on top/left side while with "reversed" `legend.traceorder` they are on bottom/right side. The default legendrank is 1000, so that you can use ranks less than 1000 to place certain items before all unranked items, and ranks greater than 1000 to go after all unranked items. When having unranked or equal rank items shapes would be displayed after traces i.e. according to their order in data and layout. legendwidth Sets the width (in px or fraction) of the legend for this trace. marker :class:`plotly.graph_objects.pie.Marker` instance or dict with compatible properties meta Assigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace `name`, graph, axis and colorbar `title.text`, annotation `text` `rangeselector`, `updatemenues` and `sliders` `label` text all support `meta`. To access the trace `meta` values in an attribute in the same trace, simply use `%{meta[i]}` where `i` is the index or key of the `meta` item in question. To access trace `meta` in layout attributes, use `%{data[n[.meta[i]}` where `i` is the index or key of the `meta` and `n` is the trace index. metasrc Sets the source reference on Chart Studio Cloud for `meta`. name Sets the trace name. The trace name appears as the legend item and on hover. opacity Sets the opacity of the trace. outsidetextfont Sets the font used for `textinfo` lying outside the sector. pull Sets the fraction of larger radius to pull the sectors out from the center. This can be a constant to pull all slices apart from each other equally or an array to highlight one or more slices. pullsrc Sets the source reference on Chart Studio Cloud for `pull`. rotation Instead of the first slice starting at 12 o'clock, rotate to some other angle. scalegroup If there are multiple pie charts that should be sized according to their totals, link them by providing a non-empty group id here shared by every trace in the same group. showlegend Determines whether or not an item corresponding to this trace is shown in the legend. sort Determines whether or not the sectors are reordered from largest to smallest. stream :class:`plotly.graph_objects.pie.Stream` instance or dict with compatible properties text Sets text elements associated with each sector. If trace `textinfo` contains a "text" flag, these elements will be seen on the chart. If trace `hoverinfo` contains a "text" flag and "hovertext" is not set, these elements will be seen in the hover labels. textfont Sets the font used for `textinfo`. textinfo Determines which trace information appear on the graph. textposition Specifies the location of the `textinfo`. textpositionsrc Sets the source reference on Chart Studio Cloud for `textposition`. textsrc Sets the source reference on Chart Studio Cloud for `text`. texttemplate Template string used for rendering the information text that appear on points. Note that this will override `textinfo`. Variables are inserted using %{variable}, for example "y: %{y}". Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. Every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. Finally, the template string has access to variables `label`, `color`, `value`, `percent` and `text`. texttemplatesrc Sets the source reference on Chart Studio Cloud for `texttemplate`. title :class:`plotly.graph_objects.pie.Title` instance or dict with compatible properties uid Assign an id to this trace, Use this to provide object constancy between traces during animations and transitions. uirevision Controls persistence of some user-driven changes to the trace: `constraintrange` in `parcoords` traces, as well as some `editable: true` modifications such as `name` and `colorbar.title`. Defaults to `layout.uirevision`. Note that other user-driven trace attribute changes are controlled by `layout` attributes: `trace.visible` is controlled by `layout.legend.uirevision`, `selectedpoints` is controlled by `layout.selectionrevision`, and `colorbar.(x|y)` (accessible with `config: {editable: true}`) is controlled by `layout.editrevision`. Trace changes are tracked by `uid`, which only falls back on trace index if no `uid` is provided. So if your app can add/remove traces before the end of the `data` array, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace a `uid` that stays with it as it moves. values Sets the values of the sectors. If omitted, we count occurrences of each label. valuessrc Sets the source reference on Chart Studio Cloud for `values`. visible Determines whether or not this trace is visible. If "legendonly", the trace is not drawn, but can appear as a legend item (provided that the legend itself is visible). row : 'all', int or None (default) Subplot row index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all rows in the specified column(s). col : 'all', int or None (default) Subplot col index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all columns in the specified row(s). Returns ------- FigureWidget """ from plotly.graph_objs import Pie new_trace = Pie( automargin=automargin, customdata=customdata, customdatasrc=customdatasrc, direction=direction, dlabel=dlabel, domain=domain, hole=hole, hoverinfo=hoverinfo, hoverinfosrc=hoverinfosrc, hoverlabel=hoverlabel, hovertemplate=hovertemplate, hovertemplatesrc=hovertemplatesrc, hovertext=hovertext, hovertextsrc=hovertextsrc, ids=ids, idssrc=idssrc, insidetextfont=insidetextfont, insidetextorientation=insidetextorientation, label0=label0, labels=labels, labelssrc=labelssrc, legend=legend, legendgroup=legendgroup, legendgrouptitle=legendgrouptitle, legendrank=legendrank, legendwidth=legendwidth, marker=marker, meta=meta, metasrc=metasrc, name=name, opacity=opacity, outsidetextfont=outsidetextfont, pull=pull, pullsrc=pullsrc, rotation=rotation, scalegroup=scalegroup, showlegend=showlegend, sort=sort, stream=stream, text=text, textfont=textfont, textinfo=textinfo, textposition=textposition, textpositionsrc=textpositionsrc, textsrc=textsrc, texttemplate=texttemplate, texttemplatesrc=texttemplatesrc, title=title, uid=uid, uirevision=uirevision, values=values, valuessrc=valuessrc, visible=visible, **kwargs, ) return self.add_trace(new_trace, row=row, col=col) def add_sankey( self, arrangement=None, customdata=None, customdatasrc=None, domain=None, hoverinfo=None, hoverlabel=None, ids=None, idssrc=None, legend=None, legendgrouptitle=None, legendrank=None, legendwidth=None, link=None, meta=None, metasrc=None, name=None, node=None, orientation=None, selectedpoints=None, stream=None, textfont=None, uid=None, uirevision=None, valueformat=None, valuesuffix=None, visible=None, row=None, col=None, **kwargs, ) -> "FigureWidget": """ Add a new Sankey trace Sankey plots for network flow data analysis. The nodes are specified in `nodes` and the links between sources and targets in `links`. The colors are set in `nodes[i].color` and `links[i].color`, otherwise defaults are used. Parameters ---------- arrangement If value is `snap` (the default), the node arrangement is assisted by automatic snapping of elements to preserve space between nodes specified via `nodepad`. If value is `perpendicular`, the nodes can only move along a line perpendicular to the flow. If value is `freeform`, the nodes can freely move on the plane. If value is `fixed`, the nodes are stationary. customdata Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, "scatter" traces also appends customdata items in the markers DOM elements customdatasrc Sets the source reference on Chart Studio Cloud for `customdata`. domain :class:`plotly.graph_objects.sankey.Domain` instance or dict with compatible properties hoverinfo Determines which trace information appear on hover. If `none` or `skip` are set, no information is displayed upon hovering. But, if `none` is set, click and hover events are still fired. Note that this attribute is superseded by `node.hoverinfo` and `node.hoverinfo` for nodes and links respectively. hoverlabel :class:`plotly.graph_objects.sankey.Hoverlabel` instance or dict with compatible properties ids Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type. idssrc Sets the source reference on Chart Studio Cloud for `ids`. legend Sets the reference to a legend to show this trace in. References to these legends are "legend", "legend2", "legend3", etc. Settings for these legends are set in the layout, under `layout.legend`, `layout.legend2`, etc. legendgrouptitle :class:`plotly.graph_objects.sankey.Legendgrouptitle` instance or dict with compatible properties legendrank Sets the legend rank for this trace. Items and groups with smaller ranks are presented on top/left side while with "reversed" `legend.traceorder` they are on bottom/right side. The default legendrank is 1000, so that you can use ranks less than 1000 to place certain items before all unranked items, and ranks greater than 1000 to go after all unranked items. When having unranked or equal rank items shapes would be displayed after traces i.e. according to their order in data and layout. legendwidth Sets the width (in px or fraction) of the legend for this trace. link The links of the Sankey plot. meta Assigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace `name`, graph, axis and colorbar `title.text`, annotation `text` `rangeselector`, `updatemenues` and `sliders` `label` text all support `meta`. To access the trace `meta` values in an attribute in the same trace, simply use `%{meta[i]}` where `i` is the index or key of the `meta` item in question. To access trace `meta` in layout attributes, use `%{data[n[.meta[i]}` where `i` is the index or key of the `meta` and `n` is the trace index. metasrc Sets the source reference on Chart Studio Cloud for `meta`. name Sets the trace name. The trace name appears as the legend item and on hover. node The nodes of the Sankey plot. orientation Sets the orientation of the Sankey diagram. selectedpoints Array containing integer indices of selected points. Has an effect only for traces that support selections. Note that an empty array means an empty selection where the `unselected` are turned on for all points, whereas, any other non-array values means no selection all where the `selected` and `unselected` styles have no effect. stream :class:`plotly.graph_objects.sankey.Stream` instance or dict with compatible properties textfont Sets the font for node labels uid Assign an id to this trace, Use this to provide object constancy between traces during animations and transitions. uirevision Controls persistence of some user-driven changes to the trace: `constraintrange` in `parcoords` traces, as well as some `editable: true` modifications such as `name` and `colorbar.title`. Defaults to `layout.uirevision`. Note that other user-driven trace attribute changes are controlled by `layout` attributes: `trace.visible` is controlled by `layout.legend.uirevision`, `selectedpoints` is controlled by `layout.selectionrevision`, and `colorbar.(x|y)` (accessible with `config: {editable: true}`) is controlled by `layout.editrevision`. Trace changes are tracked by `uid`, which only falls back on trace index if no `uid` is provided. So if your app can add/remove traces before the end of the `data` array, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace a `uid` that stays with it as it moves. valueformat Sets the value formatting rule using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-format/tree/v1.4.5#d3-format. valuesuffix Adds a unit to follow the value in the hover tooltip. Add a space if a separation is necessary from the value. visible Determines whether or not this trace is visible. If "legendonly", the trace is not drawn, but can appear as a legend item (provided that the legend itself is visible). row : 'all', int or None (default) Subplot row index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all rows in the specified column(s). col : 'all', int or None (default) Subplot col index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all columns in the specified row(s). Returns ------- FigureWidget """ from plotly.graph_objs import Sankey new_trace = Sankey( arrangement=arrangement, customdata=customdata, customdatasrc=customdatasrc, domain=domain, hoverinfo=hoverinfo, hoverlabel=hoverlabel, ids=ids, idssrc=idssrc, legend=legend, legendgrouptitle=legendgrouptitle, legendrank=legendrank, legendwidth=legendwidth, link=link, meta=meta, metasrc=metasrc, name=name, node=node, orientation=orientation, selectedpoints=selectedpoints, stream=stream, textfont=textfont, uid=uid, uirevision=uirevision, valueformat=valueformat, valuesuffix=valuesuffix, visible=visible, **kwargs, ) return self.add_trace(new_trace, row=row, col=col) def add_scatter( self, alignmentgroup=None, cliponaxis=None, connectgaps=None, customdata=None, customdatasrc=None, dx=None, dy=None, error_x=None, error_y=None, fill=None, fillcolor=None, fillgradient=None, fillpattern=None, groupnorm=None, hoverinfo=None, hoverinfosrc=None, hoverlabel=None, hoveron=None, hovertemplate=None, hovertemplatesrc=None, hovertext=None, hovertextsrc=None, ids=None, idssrc=None, legend=None, legendgroup=None, legendgrouptitle=None, legendrank=None, legendwidth=None, line=None, marker=None, meta=None, metasrc=None, mode=None, name=None, offsetgroup=None, opacity=None, orientation=None, selected=None, selectedpoints=None, showlegend=None, stackgaps=None, stackgroup=None, stream=None, text=None, textfont=None, textposition=None, textpositionsrc=None, textsrc=None, texttemplate=None, texttemplatesrc=None, uid=None, uirevision=None, unselected=None, visible=None, x=None, x0=None, xaxis=None, xcalendar=None, xhoverformat=None, xperiod=None, xperiod0=None, xperiodalignment=None, xsrc=None, y=None, y0=None, yaxis=None, ycalendar=None, yhoverformat=None, yperiod=None, yperiod0=None, yperiodalignment=None, ysrc=None, zorder=None, row=None, col=None, secondary_y=None, **kwargs, ) -> "FigureWidget": """ Add a new Scatter trace The scatter trace type encompasses line charts, scatter charts, text charts, and bubble charts. The data visualized as scatter point or lines is set in `x` and `y`. Text (appearing either on the chart or on hover only) is via `text`. Bubble charts are achieved by setting `marker.size` and/or `marker.color` to numerical arrays. Parameters ---------- alignmentgroup Set several traces linked to the same position axis or matching axes to the same alignmentgroup. This controls whether bars compute their positional range dependently or independently. cliponaxis Determines whether or not markers and text nodes are clipped about the subplot axes. To show markers and text nodes above axis lines and tick labels, make sure to set `xaxis.layer` and `yaxis.layer` to *below traces*. connectgaps Determines whether or not gaps (i.e. {nan} or missing values) in the provided data arrays are connected. customdata Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, "scatter" traces also appends customdata items in the markers DOM elements customdatasrc Sets the source reference on Chart Studio Cloud for `customdata`. dx Sets the x coordinate step. See `x0` for more info. dy Sets the y coordinate step. See `y0` for more info. error_x :class:`plotly.graph_objects.scatter.ErrorX` instance or dict with compatible properties error_y :class:`plotly.graph_objects.scatter.ErrorY` instance or dict with compatible properties fill Sets the area to fill with a solid color. Defaults to "none" unless this trace is stacked, then it gets "tonexty" ("tonextx") if `orientation` is "v" ("h") Use with `fillcolor` if not "none". "tozerox" and "tozeroy" fill to x=0 and y=0 respectively. "tonextx" and "tonexty" fill between the endpoints of this trace and the endpoints of the trace before it, connecting those endpoints with straight lines (to make a stacked area graph); if there is no trace before it, they behave like "tozerox" and "tozeroy". "toself" connects the endpoints of the trace (or each segment of the trace if it has gaps) into a closed shape. "tonext" fills the space between two traces if one completely encloses the other (eg consecutive contour lines), and behaves like "toself" if there is no trace before it. "tonext" should not be used if one trace does not enclose the other. Traces in a `stackgroup` will only fill to (or be filled to) other traces in the same group. With multiple `stackgroup`s or some traces stacked and some not, if fill-linked traces are not already consecutive, the later ones will be pushed down in the drawing order. fillcolor Sets the fill color. Defaults to a half-transparent variant of the line color, marker color, or marker line color, whichever is available. If fillgradient is specified, fillcolor is ignored except for setting the background color of the hover label, if any. fillgradient Sets a fill gradient. If not specified, the fillcolor is used instead. fillpattern Sets the pattern within the marker. groupnorm Only relevant when `stackgroup` is used, and only the first `groupnorm` found in the `stackgroup` will be used - including if `visible` is "legendonly" but not if it is `false`. Sets the normalization for the sum of this `stackgroup`. With "fraction", the value of each trace at each location is divided by the sum of all trace values at that location. "percent" is the same but multiplied by 100 to show percentages. If there are multiple subplots, or multiple `stackgroup`s on one subplot, each will be normalized within its own set. hoverinfo Determines which trace information appear on hover. If `none` or `skip` are set, no information is displayed upon hovering. But, if `none` is set, click and hover events are still fired. hoverinfosrc Sets the source reference on Chart Studio Cloud for `hoverinfo`. hoverlabel :class:`plotly.graph_objects.scatter.Hoverlabel` instance or dict with compatible properties hoveron Do the hover effects highlight individual points (markers or line points) or do they highlight filled regions? If the fill is "toself" or "tonext" and there are no markers or text, then the default is "fills", otherwise it is "points". hovertemplate Template string used for rendering the information that appear on hover box. Note that this will override `hoverinfo`. Variables are inserted using %{variable}, for example "y: %{y}" as well as %{xother}, {%_xother}, {%_xother_}, {%xother_}. When showing info for several points, "xother" will be added to those with different x positions from the first point. An underscore before or after "(x|y)other" will add a space on that side, only when this field is shown. Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. The variables available in `hovertemplate` are the ones emitted as event data described at this link https://plotly.com/javascript/plotlyjs-events/#event- data. Additionally, every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. Anything contained in tag `` is displayed in the secondary box, for example "{fullData.name}". To hide the secondary box completely, use an empty tag ``. hovertemplatesrc Sets the source reference on Chart Studio Cloud for `hovertemplate`. hovertext Sets hover text elements associated with each (x,y) pair. If a single string, the same string appears over all the data points. If an array of string, the items are mapped in order to the this trace's (x,y) coordinates. To be seen, trace `hoverinfo` must contain a "text" flag. hovertextsrc Sets the source reference on Chart Studio Cloud for `hovertext`. ids Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type. idssrc Sets the source reference on Chart Studio Cloud for `ids`. legend Sets the reference to a legend to show this trace in. References to these legends are "legend", "legend2", "legend3", etc. Settings for these legends are set in the layout, under `layout.legend`, `layout.legend2`, etc. legendgroup Sets the legend group for this trace. Traces and shapes part of the same legend group hide/show at the same time when toggling legend items. legendgrouptitle :class:`plotly.graph_objects.scatter.Legendgrouptitle` instance or dict with compatible properties legendrank Sets the legend rank for this trace. Items and groups with smaller ranks are presented on top/left side while with "reversed" `legend.traceorder` they are on bottom/right side. The default legendrank is 1000, so that you can use ranks less than 1000 to place certain items before all unranked items, and ranks greater than 1000 to go after all unranked items. When having unranked or equal rank items shapes would be displayed after traces i.e. according to their order in data and layout. legendwidth Sets the width (in px or fraction) of the legend for this trace. line :class:`plotly.graph_objects.scatter.Line` instance or dict with compatible properties marker :class:`plotly.graph_objects.scatter.Marker` instance or dict with compatible properties meta Assigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace `name`, graph, axis and colorbar `title.text`, annotation `text` `rangeselector`, `updatemenues` and `sliders` `label` text all support `meta`. To access the trace `meta` values in an attribute in the same trace, simply use `%{meta[i]}` where `i` is the index or key of the `meta` item in question. To access trace `meta` in layout attributes, use `%{data[n[.meta[i]}` where `i` is the index or key of the `meta` and `n` is the trace index. metasrc Sets the source reference on Chart Studio Cloud for `meta`. mode Determines the drawing mode for this scatter trace. If the provided `mode` includes "text" then the `text` elements appear at the coordinates. Otherwise, the `text` elements appear on hover. If there are less than 20 points and the trace is not stacked then the default is "lines+markers". Otherwise, "lines". name Sets the trace name. The trace name appears as the legend item and on hover. offsetgroup Set several traces linked to the same position axis or matching axes to the same offsetgroup where bars of the same position coordinate will line up. opacity Sets the opacity of the trace. orientation Only relevant in the following cases: 1. when `scattermode` is set to "group". 2. when `stackgroup` is used, and only the first `orientation` found in the `stackgroup` will be used - including if `visible` is "legendonly" but not if it is `false`. Sets the stacking direction. With "v" ("h"), the y (x) values of subsequent traces are added. Also affects the default value of `fill`. selected :class:`plotly.graph_objects.scatter.Selected` instance or dict with compatible properties selectedpoints Array containing integer indices of selected points. Has an effect only for traces that support selections. Note that an empty array means an empty selection where the `unselected` are turned on for all points, whereas, any other non-array values means no selection all where the `selected` and `unselected` styles have no effect. showlegend Determines whether or not an item corresponding to this trace is shown in the legend. stackgaps Only relevant when `stackgroup` is used, and only the first `stackgaps` found in the `stackgroup` will be used - including if `visible` is "legendonly" but not if it is `false`. Determines how we handle locations at which other traces in this group have data but this one does not. With *infer zero* we insert a zero at these locations. With "interpolate" we linearly interpolate between existing values, and extrapolate a constant beyond the existing values. stackgroup Set several scatter traces (on the same subplot) to the same stackgroup in order to add their y values (or their x values if `orientation` is "h"). If blank or omitted this trace will not be stacked. Stacking also turns `fill` on by default, using "tonexty" ("tonextx") if `orientation` is "h" ("v") and sets the default `mode` to "lines" irrespective of point count. You can only stack on a numeric (linear or log) axis. Traces in a `stackgroup` will only fill to (or be filled to) other traces in the same group. With multiple `stackgroup`s or some traces stacked and some not, if fill-linked traces are not already consecutive, the later ones will be pushed down in the drawing order. stream :class:`plotly.graph_objects.scatter.Stream` instance or dict with compatible properties text Sets text elements associated with each (x,y) pair. If a single string, the same string appears over all the data points. If an array of string, the items are mapped in order to the this trace's (x,y) coordinates. If trace `hoverinfo` contains a "text" flag and "hovertext" is not set, these elements will be seen in the hover labels. textfont Sets the text font. textposition Sets the positions of the `text` elements with respects to the (x,y) coordinates. textpositionsrc Sets the source reference on Chart Studio Cloud for `textposition`. textsrc Sets the source reference on Chart Studio Cloud for `text`. texttemplate Template string used for rendering the information text that appear on points. Note that this will override `textinfo`. Variables are inserted using %{variable}, for example "y: %{y}". Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. Every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. texttemplatesrc Sets the source reference on Chart Studio Cloud for `texttemplate`. uid Assign an id to this trace, Use this to provide object constancy between traces during animations and transitions. uirevision Controls persistence of some user-driven changes to the trace: `constraintrange` in `parcoords` traces, as well as some `editable: true` modifications such as `name` and `colorbar.title`. Defaults to `layout.uirevision`. Note that other user-driven trace attribute changes are controlled by `layout` attributes: `trace.visible` is controlled by `layout.legend.uirevision`, `selectedpoints` is controlled by `layout.selectionrevision`, and `colorbar.(x|y)` (accessible with `config: {editable: true}`) is controlled by `layout.editrevision`. Trace changes are tracked by `uid`, which only falls back on trace index if no `uid` is provided. So if your app can add/remove traces before the end of the `data` array, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace a `uid` that stays with it as it moves. unselected :class:`plotly.graph_objects.scatter.Unselected` instance or dict with compatible properties visible Determines whether or not this trace is visible. If "legendonly", the trace is not drawn, but can appear as a legend item (provided that the legend itself is visible). x Sets the x coordinates. x0 Alternate to `x`. Builds a linear space of x coordinates. Use with `dx` where `x0` is the starting coordinate and `dx` the step. xaxis Sets a reference between this trace's x coordinates and a 2D cartesian x axis. If "x" (the default value), the x coordinates refer to `layout.xaxis`. If "x2", the x coordinates refer to `layout.xaxis2`, and so on. xcalendar Sets the calendar system to use with `x` date data. xhoverformat Sets the hover text formatting rulefor `x` using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-format/tree/v1.4.5#d3-format. And for dates see: https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format. We add two items to d3's date formatter: "%h" for half of the year as a decimal number as well as "%{n}f" for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat "%H~%M~%S.%2f" would display *09~15~23.46*By default the values are formatted using `xaxis.hoverformat`. xperiod Only relevant when the axis `type` is "date". Sets the period positioning in milliseconds or "M" on the x axis. Special values in the form of "M" could be used to declare the number of months. In this case `n` must be a positive integer. xperiod0 Only relevant when the axis `type` is "date". Sets the base for period positioning in milliseconds or date string on the x0 axis. When `x0period` is round number of weeks, the `x0period0` by default would be on a Sunday i.e. 2000-01-02, otherwise it would be at 2000-01-01. xperiodalignment Only relevant when the axis `type` is "date". Sets the alignment of data points on the x axis. xsrc Sets the source reference on Chart Studio Cloud for `x`. y Sets the y coordinates. y0 Alternate to `y`. Builds a linear space of y coordinates. Use with `dy` where `y0` is the starting coordinate and `dy` the step. yaxis Sets a reference between this trace's y coordinates and a 2D cartesian y axis. If "y" (the default value), the y coordinates refer to `layout.yaxis`. If "y2", the y coordinates refer to `layout.yaxis2`, and so on. ycalendar Sets the calendar system to use with `y` date data. yhoverformat Sets the hover text formatting rulefor `y` using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-format/tree/v1.4.5#d3-format. And for dates see: https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format. We add two items to d3's date formatter: "%h" for half of the year as a decimal number as well as "%{n}f" for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat "%H~%M~%S.%2f" would display *09~15~23.46*By default the values are formatted using `yaxis.hoverformat`. yperiod Only relevant when the axis `type` is "date". Sets the period positioning in milliseconds or "M" on the y axis. Special values in the form of "M" could be used to declare the number of months. In this case `n` must be a positive integer. yperiod0 Only relevant when the axis `type` is "date". Sets the base for period positioning in milliseconds or date string on the y0 axis. When `y0period` is round number of weeks, the `y0period0` by default would be on a Sunday i.e. 2000-01-02, otherwise it would be at 2000-01-01. yperiodalignment Only relevant when the axis `type` is "date". Sets the alignment of data points on the y axis. ysrc Sets the source reference on Chart Studio Cloud for `y`. zorder Sets the layer on which this trace is displayed, relative to other SVG traces on the same subplot. SVG traces with higher `zorder` appear in front of those with lower `zorder`. row : 'all', int or None (default) Subplot row index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all rows in the specified column(s). col : 'all', int or None (default) Subplot col index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all columns in the specified row(s). secondary_y: boolean or None (default None) If True, associate this trace with the secondary y-axis of the subplot at the specified row and col. Only valid if all of the following conditions are satisfied: * The figure was created using `plotly.subplots.make_subplots`. * The row and col arguments are not None * The subplot at the specified row and col has type xy (which is the default) and secondary_y True. These properties are specified in the specs argument to make_subplots. See the make_subplots docstring for more info. Returns ------- FigureWidget """ from plotly.graph_objs import Scatter new_trace = Scatter( alignmentgroup=alignmentgroup, cliponaxis=cliponaxis, connectgaps=connectgaps, customdata=customdata, customdatasrc=customdatasrc, dx=dx, dy=dy, error_x=error_x, error_y=error_y, fill=fill, fillcolor=fillcolor, fillgradient=fillgradient, fillpattern=fillpattern, groupnorm=groupnorm, hoverinfo=hoverinfo, hoverinfosrc=hoverinfosrc, hoverlabel=hoverlabel, hoveron=hoveron, hovertemplate=hovertemplate, hovertemplatesrc=hovertemplatesrc, hovertext=hovertext, hovertextsrc=hovertextsrc, ids=ids, idssrc=idssrc, legend=legend, legendgroup=legendgroup, legendgrouptitle=legendgrouptitle, legendrank=legendrank, legendwidth=legendwidth, line=line, marker=marker, meta=meta, metasrc=metasrc, mode=mode, name=name, offsetgroup=offsetgroup, opacity=opacity, orientation=orientation, selected=selected, selectedpoints=selectedpoints, showlegend=showlegend, stackgaps=stackgaps, stackgroup=stackgroup, stream=stream, text=text, textfont=textfont, textposition=textposition, textpositionsrc=textpositionsrc, textsrc=textsrc, texttemplate=texttemplate, texttemplatesrc=texttemplatesrc, uid=uid, uirevision=uirevision, unselected=unselected, visible=visible, x=x, x0=x0, xaxis=xaxis, xcalendar=xcalendar, xhoverformat=xhoverformat, xperiod=xperiod, xperiod0=xperiod0, xperiodalignment=xperiodalignment, xsrc=xsrc, y=y, y0=y0, yaxis=yaxis, ycalendar=ycalendar, yhoverformat=yhoverformat, yperiod=yperiod, yperiod0=yperiod0, yperiodalignment=yperiodalignment, ysrc=ysrc, zorder=zorder, **kwargs, ) return self.add_trace(new_trace, row=row, col=col, secondary_y=secondary_y) def add_scatter3d( self, connectgaps=None, customdata=None, customdatasrc=None, error_x=None, error_y=None, error_z=None, hoverinfo=None, hoverinfosrc=None, hoverlabel=None, hovertemplate=None, hovertemplatesrc=None, hovertext=None, hovertextsrc=None, ids=None, idssrc=None, legend=None, legendgroup=None, legendgrouptitle=None, legendrank=None, legendwidth=None, line=None, marker=None, meta=None, metasrc=None, mode=None, name=None, opacity=None, projection=None, scene=None, showlegend=None, stream=None, surfaceaxis=None, surfacecolor=None, text=None, textfont=None, textposition=None, textpositionsrc=None, textsrc=None, texttemplate=None, texttemplatesrc=None, uid=None, uirevision=None, visible=None, x=None, xcalendar=None, xhoverformat=None, xsrc=None, y=None, ycalendar=None, yhoverformat=None, ysrc=None, z=None, zcalendar=None, zhoverformat=None, zsrc=None, row=None, col=None, **kwargs, ) -> "FigureWidget": """ Add a new Scatter3d trace The data visualized as scatter point or lines in 3D dimension is set in `x`, `y`, `z`. Text (appearing either on the chart or on hover only) is via `text`. Bubble charts are achieved by setting `marker.size` and/or `marker.color` Projections are achieved via `projection`. Surface fills are achieved via `surfaceaxis`. Parameters ---------- connectgaps Determines whether or not gaps (i.e. {nan} or missing values) in the provided data arrays are connected. customdata Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, "scatter" traces also appends customdata items in the markers DOM elements customdatasrc Sets the source reference on Chart Studio Cloud for `customdata`. error_x :class:`plotly.graph_objects.scatter3d.ErrorX` instance or dict with compatible properties error_y :class:`plotly.graph_objects.scatter3d.ErrorY` instance or dict with compatible properties error_z :class:`plotly.graph_objects.scatter3d.ErrorZ` instance or dict with compatible properties hoverinfo Determines which trace information appear on hover. If `none` or `skip` are set, no information is displayed upon hovering. But, if `none` is set, click and hover events are still fired. hoverinfosrc Sets the source reference on Chart Studio Cloud for `hoverinfo`. hoverlabel :class:`plotly.graph_objects.scatter3d.Hoverlabel` instance or dict with compatible properties hovertemplate Template string used for rendering the information that appear on hover box. Note that this will override `hoverinfo`. Variables are inserted using %{variable}, for example "y: %{y}" as well as %{xother}, {%_xother}, {%_xother_}, {%xother_}. When showing info for several points, "xother" will be added to those with different x positions from the first point. An underscore before or after "(x|y)other" will add a space on that side, only when this field is shown. Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. The variables available in `hovertemplate` are the ones emitted as event data described at this link https://plotly.com/javascript/plotlyjs-events/#event- data. Additionally, every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. Anything contained in tag `` is displayed in the secondary box, for example "{fullData.name}". To hide the secondary box completely, use an empty tag ``. hovertemplatesrc Sets the source reference on Chart Studio Cloud for `hovertemplate`. hovertext Sets text elements associated with each (x,y,z) triplet. If a single string, the same string appears over all the data points. If an array of string, the items are mapped in order to the this trace's (x,y,z) coordinates. To be seen, trace `hoverinfo` must contain a "text" flag. hovertextsrc Sets the source reference on Chart Studio Cloud for `hovertext`. ids Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type. idssrc Sets the source reference on Chart Studio Cloud for `ids`. legend Sets the reference to a legend to show this trace in. References to these legends are "legend", "legend2", "legend3", etc. Settings for these legends are set in the layout, under `layout.legend`, `layout.legend2`, etc. legendgroup Sets the legend group for this trace. Traces and shapes part of the same legend group hide/show at the same time when toggling legend items. legendgrouptitle :class:`plotly.graph_objects.scatter3d.Legendgrouptitle ` instance or dict with compatible properties legendrank Sets the legend rank for this trace. Items and groups with smaller ranks are presented on top/left side while with "reversed" `legend.traceorder` they are on bottom/right side. The default legendrank is 1000, so that you can use ranks less than 1000 to place certain items before all unranked items, and ranks greater than 1000 to go after all unranked items. When having unranked or equal rank items shapes would be displayed after traces i.e. according to their order in data and layout. legendwidth Sets the width (in px or fraction) of the legend for this trace. line :class:`plotly.graph_objects.scatter3d.Line` instance or dict with compatible properties marker :class:`plotly.graph_objects.scatter3d.Marker` instance or dict with compatible properties meta Assigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace `name`, graph, axis and colorbar `title.text`, annotation `text` `rangeselector`, `updatemenues` and `sliders` `label` text all support `meta`. To access the trace `meta` values in an attribute in the same trace, simply use `%{meta[i]}` where `i` is the index or key of the `meta` item in question. To access trace `meta` in layout attributes, use `%{data[n[.meta[i]}` where `i` is the index or key of the `meta` and `n` is the trace index. metasrc Sets the source reference on Chart Studio Cloud for `meta`. mode Determines the drawing mode for this scatter trace. If the provided `mode` includes "text" then the `text` elements appear at the coordinates. Otherwise, the `text` elements appear on hover. If there are less than 20 points and the trace is not stacked then the default is "lines+markers". Otherwise, "lines". name Sets the trace name. The trace name appears as the legend item and on hover. opacity Sets the opacity of the trace. projection :class:`plotly.graph_objects.scatter3d.Projection` instance or dict with compatible properties scene Sets a reference between this trace's 3D coordinate system and a 3D scene. If "scene" (the default value), the (x,y,z) coordinates refer to `layout.scene`. If "scene2", the (x,y,z) coordinates refer to `layout.scene2`, and so on. showlegend Determines whether or not an item corresponding to this trace is shown in the legend. stream :class:`plotly.graph_objects.scatter3d.Stream` instance or dict with compatible properties surfaceaxis If "-1", the scatter points are not fill with a surface If 0, 1, 2, the scatter points are filled with a Delaunay surface about the x, y, z respectively. surfacecolor Sets the surface fill color. text Sets text elements associated with each (x,y,z) triplet. If a single string, the same string appears over all the data points. If an array of string, the items are mapped in order to the this trace's (x,y,z) coordinates. If trace `hoverinfo` contains a "text" flag and "hovertext" is not set, these elements will be seen in the hover labels. textfont Sets the text font. textposition Sets the positions of the `text` elements with respects to the (x,y) coordinates. textpositionsrc Sets the source reference on Chart Studio Cloud for `textposition`. textsrc Sets the source reference on Chart Studio Cloud for `text`. texttemplate Template string used for rendering the information text that appear on points. Note that this will override `textinfo`. Variables are inserted using %{variable}, for example "y: %{y}". Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. Every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. texttemplatesrc Sets the source reference on Chart Studio Cloud for `texttemplate`. uid Assign an id to this trace, Use this to provide object constancy between traces during animations and transitions. uirevision Controls persistence of some user-driven changes to the trace: `constraintrange` in `parcoords` traces, as well as some `editable: true` modifications such as `name` and `colorbar.title`. Defaults to `layout.uirevision`. Note that other user-driven trace attribute changes are controlled by `layout` attributes: `trace.visible` is controlled by `layout.legend.uirevision`, `selectedpoints` is controlled by `layout.selectionrevision`, and `colorbar.(x|y)` (accessible with `config: {editable: true}`) is controlled by `layout.editrevision`. Trace changes are tracked by `uid`, which only falls back on trace index if no `uid` is provided. So if your app can add/remove traces before the end of the `data` array, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace a `uid` that stays with it as it moves. visible Determines whether or not this trace is visible. If "legendonly", the trace is not drawn, but can appear as a legend item (provided that the legend itself is visible). x Sets the x coordinates. xcalendar Sets the calendar system to use with `x` date data. xhoverformat Sets the hover text formatting rulefor `x` using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-format/tree/v1.4.5#d3-format. And for dates see: https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format. We add two items to d3's date formatter: "%h" for half of the year as a decimal number as well as "%{n}f" for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat "%H~%M~%S.%2f" would display *09~15~23.46*By default the values are formatted using `xaxis.hoverformat`. xsrc Sets the source reference on Chart Studio Cloud for `x`. y Sets the y coordinates. ycalendar Sets the calendar system to use with `y` date data. yhoverformat Sets the hover text formatting rulefor `y` using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-format/tree/v1.4.5#d3-format. And for dates see: https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format. We add two items to d3's date formatter: "%h" for half of the year as a decimal number as well as "%{n}f" for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat "%H~%M~%S.%2f" would display *09~15~23.46*By default the values are formatted using `yaxis.hoverformat`. ysrc Sets the source reference on Chart Studio Cloud for `y`. z Sets the z coordinates. zcalendar Sets the calendar system to use with `z` date data. zhoverformat Sets the hover text formatting rulefor `z` using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-format/tree/v1.4.5#d3-format. And for dates see: https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format. We add two items to d3's date formatter: "%h" for half of the year as a decimal number as well as "%{n}f" for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat "%H~%M~%S.%2f" would display *09~15~23.46*By default the values are formatted using `zaxis.hoverformat`. zsrc Sets the source reference on Chart Studio Cloud for `z`. row : 'all', int or None (default) Subplot row index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all rows in the specified column(s). col : 'all', int or None (default) Subplot col index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all columns in the specified row(s). Returns ------- FigureWidget """ from plotly.graph_objs import Scatter3d new_trace = Scatter3d( connectgaps=connectgaps, customdata=customdata, customdatasrc=customdatasrc, error_x=error_x, error_y=error_y, error_z=error_z, hoverinfo=hoverinfo, hoverinfosrc=hoverinfosrc, hoverlabel=hoverlabel, hovertemplate=hovertemplate, hovertemplatesrc=hovertemplatesrc, hovertext=hovertext, hovertextsrc=hovertextsrc, ids=ids, idssrc=idssrc, legend=legend, legendgroup=legendgroup, legendgrouptitle=legendgrouptitle, legendrank=legendrank, legendwidth=legendwidth, line=line, marker=marker, meta=meta, metasrc=metasrc, mode=mode, name=name, opacity=opacity, projection=projection, scene=scene, showlegend=showlegend, stream=stream, surfaceaxis=surfaceaxis, surfacecolor=surfacecolor, text=text, textfont=textfont, textposition=textposition, textpositionsrc=textpositionsrc, textsrc=textsrc, texttemplate=texttemplate, texttemplatesrc=texttemplatesrc, uid=uid, uirevision=uirevision, visible=visible, x=x, xcalendar=xcalendar, xhoverformat=xhoverformat, xsrc=xsrc, y=y, ycalendar=ycalendar, yhoverformat=yhoverformat, ysrc=ysrc, z=z, zcalendar=zcalendar, zhoverformat=zhoverformat, zsrc=zsrc, **kwargs, ) return self.add_trace(new_trace, row=row, col=col) def add_scattercarpet( self, a=None, asrc=None, b=None, bsrc=None, carpet=None, connectgaps=None, customdata=None, customdatasrc=None, fill=None, fillcolor=None, hoverinfo=None, hoverinfosrc=None, hoverlabel=None, hoveron=None, hovertemplate=None, hovertemplatesrc=None, hovertext=None, hovertextsrc=None, ids=None, idssrc=None, legend=None, legendgroup=None, legendgrouptitle=None, legendrank=None, legendwidth=None, line=None, marker=None, meta=None, metasrc=None, mode=None, name=None, opacity=None, selected=None, selectedpoints=None, showlegend=None, stream=None, text=None, textfont=None, textposition=None, textpositionsrc=None, textsrc=None, texttemplate=None, texttemplatesrc=None, uid=None, uirevision=None, unselected=None, visible=None, xaxis=None, yaxis=None, zorder=None, row=None, col=None, secondary_y=None, **kwargs, ) -> "FigureWidget": """ Add a new Scattercarpet trace Plots a scatter trace on either the first carpet axis or the carpet axis with a matching `carpet` attribute. Parameters ---------- a Sets the a-axis coordinates. asrc Sets the source reference on Chart Studio Cloud for `a`. b Sets the b-axis coordinates. bsrc Sets the source reference on Chart Studio Cloud for `b`. carpet An identifier for this carpet, so that `scattercarpet` and `contourcarpet` traces can specify a carpet plot on which they lie connectgaps Determines whether or not gaps (i.e. {nan} or missing values) in the provided data arrays are connected. customdata Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, "scatter" traces also appends customdata items in the markers DOM elements customdatasrc Sets the source reference on Chart Studio Cloud for `customdata`. fill Sets the area to fill with a solid color. Use with `fillcolor` if not "none". scatterternary has a subset of the options available to scatter. "toself" connects the endpoints of the trace (or each segment of the trace if it has gaps) into a closed shape. "tonext" fills the space between two traces if one completely encloses the other (eg consecutive contour lines), and behaves like "toself" if there is no trace before it. "tonext" should not be used if one trace does not enclose the other. fillcolor Sets the fill color. Defaults to a half-transparent variant of the line color, marker color, or marker line color, whichever is available. hoverinfo Determines which trace information appear on hover. If `none` or `skip` are set, no information is displayed upon hovering. But, if `none` is set, click and hover events are still fired. hoverinfosrc Sets the source reference on Chart Studio Cloud for `hoverinfo`. hoverlabel :class:`plotly.graph_objects.scattercarpet.Hoverlabel` instance or dict with compatible properties hoveron Do the hover effects highlight individual points (markers or line points) or do they highlight filled regions? If the fill is "toself" or "tonext" and there are no markers or text, then the default is "fills", otherwise it is "points". hovertemplate Template string used for rendering the information that appear on hover box. Note that this will override `hoverinfo`. Variables are inserted using %{variable}, for example "y: %{y}" as well as %{xother}, {%_xother}, {%_xother_}, {%xother_}. When showing info for several points, "xother" will be added to those with different x positions from the first point. An underscore before or after "(x|y)other" will add a space on that side, only when this field is shown. Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. The variables available in `hovertemplate` are the ones emitted as event data described at this link https://plotly.com/javascript/plotlyjs-events/#event- data. Additionally, every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. Anything contained in tag `` is displayed in the secondary box, for example "{fullData.name}". To hide the secondary box completely, use an empty tag ``. hovertemplatesrc Sets the source reference on Chart Studio Cloud for `hovertemplate`. hovertext Sets hover text elements associated with each (a,b) point. If a single string, the same string appears over all the data points. If an array of strings, the items are mapped in order to the the data points in (a,b). To be seen, trace `hoverinfo` must contain a "text" flag. hovertextsrc Sets the source reference on Chart Studio Cloud for `hovertext`. ids Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type. idssrc Sets the source reference on Chart Studio Cloud for `ids`. legend Sets the reference to a legend to show this trace in. References to these legends are "legend", "legend2", "legend3", etc. Settings for these legends are set in the layout, under `layout.legend`, `layout.legend2`, etc. legendgroup Sets the legend group for this trace. Traces and shapes part of the same legend group hide/show at the same time when toggling legend items. legendgrouptitle :class:`plotly.graph_objects.scattercarpet.Legendgroupt itle` instance or dict with compatible properties legendrank Sets the legend rank for this trace. Items and groups with smaller ranks are presented on top/left side while with "reversed" `legend.traceorder` they are on bottom/right side. The default legendrank is 1000, so that you can use ranks less than 1000 to place certain items before all unranked items, and ranks greater than 1000 to go after all unranked items. When having unranked or equal rank items shapes would be displayed after traces i.e. according to their order in data and layout. legendwidth Sets the width (in px or fraction) of the legend for this trace. line :class:`plotly.graph_objects.scattercarpet.Line` instance or dict with compatible properties marker :class:`plotly.graph_objects.scattercarpet.Marker` instance or dict with compatible properties meta Assigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace `name`, graph, axis and colorbar `title.text`, annotation `text` `rangeselector`, `updatemenues` and `sliders` `label` text all support `meta`. To access the trace `meta` values in an attribute in the same trace, simply use `%{meta[i]}` where `i` is the index or key of the `meta` item in question. To access trace `meta` in layout attributes, use `%{data[n[.meta[i]}` where `i` is the index or key of the `meta` and `n` is the trace index. metasrc Sets the source reference on Chart Studio Cloud for `meta`. mode Determines the drawing mode for this scatter trace. If the provided `mode` includes "text" then the `text` elements appear at the coordinates. Otherwise, the `text` elements appear on hover. If there are less than 20 points and the trace is not stacked then the default is "lines+markers". Otherwise, "lines". name Sets the trace name. The trace name appears as the legend item and on hover. opacity Sets the opacity of the trace. selected :class:`plotly.graph_objects.scattercarpet.Selected` instance or dict with compatible properties selectedpoints Array containing integer indices of selected points. Has an effect only for traces that support selections. Note that an empty array means an empty selection where the `unselected` are turned on for all points, whereas, any other non-array values means no selection all where the `selected` and `unselected` styles have no effect. showlegend Determines whether or not an item corresponding to this trace is shown in the legend. stream :class:`plotly.graph_objects.scattercarpet.Stream` instance or dict with compatible properties text Sets text elements associated with each (a,b) point. If a single string, the same string appears over all the data points. If an array of strings, the items are mapped in order to the the data points in (a,b). If trace `hoverinfo` contains a "text" flag and "hovertext" is not set, these elements will be seen in the hover labels. textfont Sets the text font. textposition Sets the positions of the `text` elements with respects to the (x,y) coordinates. textpositionsrc Sets the source reference on Chart Studio Cloud for `textposition`. textsrc Sets the source reference on Chart Studio Cloud for `text`. texttemplate Template string used for rendering the information text that appear on points. Note that this will override `textinfo`. Variables are inserted using %{variable}, for example "y: %{y}". Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. Every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. Finally, the template string has access to variables `a`, `b` and `text`. texttemplatesrc Sets the source reference on Chart Studio Cloud for `texttemplate`. uid Assign an id to this trace, Use this to provide object constancy between traces during animations and transitions. uirevision Controls persistence of some user-driven changes to the trace: `constraintrange` in `parcoords` traces, as well as some `editable: true` modifications such as `name` and `colorbar.title`. Defaults to `layout.uirevision`. Note that other user-driven trace attribute changes are controlled by `layout` attributes: `trace.visible` is controlled by `layout.legend.uirevision`, `selectedpoints` is controlled by `layout.selectionrevision`, and `colorbar.(x|y)` (accessible with `config: {editable: true}`) is controlled by `layout.editrevision`. Trace changes are tracked by `uid`, which only falls back on trace index if no `uid` is provided. So if your app can add/remove traces before the end of the `data` array, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace a `uid` that stays with it as it moves. unselected :class:`plotly.graph_objects.scattercarpet.Unselected` instance or dict with compatible properties visible Determines whether or not this trace is visible. If "legendonly", the trace is not drawn, but can appear as a legend item (provided that the legend itself is visible). xaxis Sets a reference between this trace's x coordinates and a 2D cartesian x axis. If "x" (the default value), the x coordinates refer to `layout.xaxis`. If "x2", the x coordinates refer to `layout.xaxis2`, and so on. yaxis Sets a reference between this trace's y coordinates and a 2D cartesian y axis. If "y" (the default value), the y coordinates refer to `layout.yaxis`. If "y2", the y coordinates refer to `layout.yaxis2`, and so on. zorder Sets the layer on which this trace is displayed, relative to other SVG traces on the same subplot. SVG traces with higher `zorder` appear in front of those with lower `zorder`. row : 'all', int or None (default) Subplot row index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all rows in the specified column(s). col : 'all', int or None (default) Subplot col index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all columns in the specified row(s). secondary_y: boolean or None (default None) If True, associate this trace with the secondary y-axis of the subplot at the specified row and col. Only valid if all of the following conditions are satisfied: * The figure was created using `plotly.subplots.make_subplots`. * The row and col arguments are not None * The subplot at the specified row and col has type xy (which is the default) and secondary_y True. These properties are specified in the specs argument to make_subplots. See the make_subplots docstring for more info. Returns ------- FigureWidget """ from plotly.graph_objs import Scattercarpet new_trace = Scattercarpet( a=a, asrc=asrc, b=b, bsrc=bsrc, carpet=carpet, connectgaps=connectgaps, customdata=customdata, customdatasrc=customdatasrc, fill=fill, fillcolor=fillcolor, hoverinfo=hoverinfo, hoverinfosrc=hoverinfosrc, hoverlabel=hoverlabel, hoveron=hoveron, hovertemplate=hovertemplate, hovertemplatesrc=hovertemplatesrc, hovertext=hovertext, hovertextsrc=hovertextsrc, ids=ids, idssrc=idssrc, legend=legend, legendgroup=legendgroup, legendgrouptitle=legendgrouptitle, legendrank=legendrank, legendwidth=legendwidth, line=line, marker=marker, meta=meta, metasrc=metasrc, mode=mode, name=name, opacity=opacity, selected=selected, selectedpoints=selectedpoints, showlegend=showlegend, stream=stream, text=text, textfont=textfont, textposition=textposition, textpositionsrc=textpositionsrc, textsrc=textsrc, texttemplate=texttemplate, texttemplatesrc=texttemplatesrc, uid=uid, uirevision=uirevision, unselected=unselected, visible=visible, xaxis=xaxis, yaxis=yaxis, zorder=zorder, **kwargs, ) return self.add_trace(new_trace, row=row, col=col, secondary_y=secondary_y) def add_scattergeo( self, connectgaps=None, customdata=None, customdatasrc=None, featureidkey=None, fill=None, fillcolor=None, geo=None, geojson=None, hoverinfo=None, hoverinfosrc=None, hoverlabel=None, hovertemplate=None, hovertemplatesrc=None, hovertext=None, hovertextsrc=None, ids=None, idssrc=None, lat=None, latsrc=None, legend=None, legendgroup=None, legendgrouptitle=None, legendrank=None, legendwidth=None, line=None, locationmode=None, locations=None, locationssrc=None, lon=None, lonsrc=None, marker=None, meta=None, metasrc=None, mode=None, name=None, opacity=None, selected=None, selectedpoints=None, showlegend=None, stream=None, text=None, textfont=None, textposition=None, textpositionsrc=None, textsrc=None, texttemplate=None, texttemplatesrc=None, uid=None, uirevision=None, unselected=None, visible=None, row=None, col=None, **kwargs, ) -> "FigureWidget": """ Add a new Scattergeo trace The data visualized as scatter point or lines on a geographic map is provided either by longitude/latitude pairs in `lon` and `lat` respectively or by geographic location IDs or names in `locations`. Parameters ---------- connectgaps Determines whether or not gaps (i.e. {nan} or missing values) in the provided data arrays are connected. customdata Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, "scatter" traces also appends customdata items in the markers DOM elements customdatasrc Sets the source reference on Chart Studio Cloud for `customdata`. featureidkey Sets the key in GeoJSON features which is used as id to match the items included in the `locations` array. Only has an effect when `geojson` is set. Support nested property, for example "properties.name". fill Sets the area to fill with a solid color. Use with `fillcolor` if not "none". "toself" connects the endpoints of the trace (or each segment of the trace if it has gaps) into a closed shape. fillcolor Sets the fill color. Defaults to a half-transparent variant of the line color, marker color, or marker line color, whichever is available. geo Sets a reference between this trace's geospatial coordinates and a geographic map. If "geo" (the default value), the geospatial coordinates refer to `layout.geo`. If "geo2", the geospatial coordinates refer to `layout.geo2`, and so on. geojson Sets optional GeoJSON data associated with this trace. If not given, the features on the base map are used when `locations` is set. It can be set as a valid GeoJSON object or as a URL string. Note that we only accept GeoJSONs of type "FeatureCollection" or "Feature" with geometries of type "Polygon" or "MultiPolygon". hoverinfo Determines which trace information appear on hover. If `none` or `skip` are set, no information is displayed upon hovering. But, if `none` is set, click and hover events are still fired. hoverinfosrc Sets the source reference on Chart Studio Cloud for `hoverinfo`. hoverlabel :class:`plotly.graph_objects.scattergeo.Hoverlabel` instance or dict with compatible properties hovertemplate Template string used for rendering the information that appear on hover box. Note that this will override `hoverinfo`. Variables are inserted using %{variable}, for example "y: %{y}" as well as %{xother}, {%_xother}, {%_xother_}, {%xother_}. When showing info for several points, "xother" will be added to those with different x positions from the first point. An underscore before or after "(x|y)other" will add a space on that side, only when this field is shown. Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. The variables available in `hovertemplate` are the ones emitted as event data described at this link https://plotly.com/javascript/plotlyjs-events/#event- data. Additionally, every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. Anything contained in tag `` is displayed in the secondary box, for example "{fullData.name}". To hide the secondary box completely, use an empty tag ``. hovertemplatesrc Sets the source reference on Chart Studio Cloud for `hovertemplate`. hovertext Sets hover text elements associated with each (lon,lat) pair or item in `locations`. If a single string, the same string appears over all the data points. If an array of string, the items are mapped in order to the this trace's (lon,lat) or `locations` coordinates. To be seen, trace `hoverinfo` must contain a "text" flag. hovertextsrc Sets the source reference on Chart Studio Cloud for `hovertext`. ids Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type. idssrc Sets the source reference on Chart Studio Cloud for `ids`. lat Sets the latitude coordinates (in degrees North). latsrc Sets the source reference on Chart Studio Cloud for `lat`. legend Sets the reference to a legend to show this trace in. References to these legends are "legend", "legend2", "legend3", etc. Settings for these legends are set in the layout, under `layout.legend`, `layout.legend2`, etc. legendgroup Sets the legend group for this trace. Traces and shapes part of the same legend group hide/show at the same time when toggling legend items. legendgrouptitle :class:`plotly.graph_objects.scattergeo.Legendgrouptitl e` instance or dict with compatible properties legendrank Sets the legend rank for this trace. Items and groups with smaller ranks are presented on top/left side while with "reversed" `legend.traceorder` they are on bottom/right side. The default legendrank is 1000, so that you can use ranks less than 1000 to place certain items before all unranked items, and ranks greater than 1000 to go after all unranked items. When having unranked or equal rank items shapes would be displayed after traces i.e. according to their order in data and layout. legendwidth Sets the width (in px or fraction) of the legend for this trace. line :class:`plotly.graph_objects.scattergeo.Line` instance or dict with compatible properties locationmode Determines the set of locations used to match entries in `locations` to regions on the map. Values "ISO-3", "USA-states", *country names* correspond to features on the base map and value "geojson-id" corresponds to features from a custom GeoJSON linked to the `geojson` attribute. locations Sets the coordinates via location IDs or names. Coordinates correspond to the centroid of each location given. See `locationmode` for more info. locationssrc Sets the source reference on Chart Studio Cloud for `locations`. lon Sets the longitude coordinates (in degrees East). lonsrc Sets the source reference on Chart Studio Cloud for `lon`. marker :class:`plotly.graph_objects.scattergeo.Marker` instance or dict with compatible properties meta Assigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace `name`, graph, axis and colorbar `title.text`, annotation `text` `rangeselector`, `updatemenues` and `sliders` `label` text all support `meta`. To access the trace `meta` values in an attribute in the same trace, simply use `%{meta[i]}` where `i` is the index or key of the `meta` item in question. To access trace `meta` in layout attributes, use `%{data[n[.meta[i]}` where `i` is the index or key of the `meta` and `n` is the trace index. metasrc Sets the source reference on Chart Studio Cloud for `meta`. mode Determines the drawing mode for this scatter trace. If the provided `mode` includes "text" then the `text` elements appear at the coordinates. Otherwise, the `text` elements appear on hover. If there are less than 20 points and the trace is not stacked then the default is "lines+markers". Otherwise, "lines". name Sets the trace name. The trace name appears as the legend item and on hover. opacity Sets the opacity of the trace. selected :class:`plotly.graph_objects.scattergeo.Selected` instance or dict with compatible properties selectedpoints Array containing integer indices of selected points. Has an effect only for traces that support selections. Note that an empty array means an empty selection where the `unselected` are turned on for all points, whereas, any other non-array values means no selection all where the `selected` and `unselected` styles have no effect. showlegend Determines whether or not an item corresponding to this trace is shown in the legend. stream :class:`plotly.graph_objects.scattergeo.Stream` instance or dict with compatible properties text Sets text elements associated with each (lon,lat) pair or item in `locations`. If a single string, the same string appears over all the data points. If an array of string, the items are mapped in order to the this trace's (lon,lat) or `locations` coordinates. If trace `hoverinfo` contains a "text" flag and "hovertext" is not set, these elements will be seen in the hover labels. textfont Sets the text font. textposition Sets the positions of the `text` elements with respects to the (x,y) coordinates. textpositionsrc Sets the source reference on Chart Studio Cloud for `textposition`. textsrc Sets the source reference on Chart Studio Cloud for `text`. texttemplate Template string used for rendering the information text that appear on points. Note that this will override `textinfo`. Variables are inserted using %{variable}, for example "y: %{y}". Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. Every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. Finally, the template string has access to variables `lat`, `lon`, `location` and `text`. texttemplatesrc Sets the source reference on Chart Studio Cloud for `texttemplate`. uid Assign an id to this trace, Use this to provide object constancy between traces during animations and transitions. uirevision Controls persistence of some user-driven changes to the trace: `constraintrange` in `parcoords` traces, as well as some `editable: true` modifications such as `name` and `colorbar.title`. Defaults to `layout.uirevision`. Note that other user-driven trace attribute changes are controlled by `layout` attributes: `trace.visible` is controlled by `layout.legend.uirevision`, `selectedpoints` is controlled by `layout.selectionrevision`, and `colorbar.(x|y)` (accessible with `config: {editable: true}`) is controlled by `layout.editrevision`. Trace changes are tracked by `uid`, which only falls back on trace index if no `uid` is provided. So if your app can add/remove traces before the end of the `data` array, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace a `uid` that stays with it as it moves. unselected :class:`plotly.graph_objects.scattergeo.Unselected` instance or dict with compatible properties visible Determines whether or not this trace is visible. If "legendonly", the trace is not drawn, but can appear as a legend item (provided that the legend itself is visible). row : 'all', int or None (default) Subplot row index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all rows in the specified column(s). col : 'all', int or None (default) Subplot col index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all columns in the specified row(s). Returns ------- FigureWidget """ from plotly.graph_objs import Scattergeo new_trace = Scattergeo( connectgaps=connectgaps, customdata=customdata, customdatasrc=customdatasrc, featureidkey=featureidkey, fill=fill, fillcolor=fillcolor, geo=geo, geojson=geojson, hoverinfo=hoverinfo, hoverinfosrc=hoverinfosrc, hoverlabel=hoverlabel, hovertemplate=hovertemplate, hovertemplatesrc=hovertemplatesrc, hovertext=hovertext, hovertextsrc=hovertextsrc, ids=ids, idssrc=idssrc, lat=lat, latsrc=latsrc, legend=legend, legendgroup=legendgroup, legendgrouptitle=legendgrouptitle, legendrank=legendrank, legendwidth=legendwidth, line=line, locationmode=locationmode, locations=locations, locationssrc=locationssrc, lon=lon, lonsrc=lonsrc, marker=marker, meta=meta, metasrc=metasrc, mode=mode, name=name, opacity=opacity, selected=selected, selectedpoints=selectedpoints, showlegend=showlegend, stream=stream, text=text, textfont=textfont, textposition=textposition, textpositionsrc=textpositionsrc, textsrc=textsrc, texttemplate=texttemplate, texttemplatesrc=texttemplatesrc, uid=uid, uirevision=uirevision, unselected=unselected, visible=visible, **kwargs, ) return self.add_trace(new_trace, row=row, col=col) def add_scattergl( self, connectgaps=None, customdata=None, customdatasrc=None, dx=None, dy=None, error_x=None, error_y=None, fill=None, fillcolor=None, hoverinfo=None, hoverinfosrc=None, hoverlabel=None, hovertemplate=None, hovertemplatesrc=None, hovertext=None, hovertextsrc=None, ids=None, idssrc=None, legend=None, legendgroup=None, legendgrouptitle=None, legendrank=None, legendwidth=None, line=None, marker=None, meta=None, metasrc=None, mode=None, name=None, opacity=None, selected=None, selectedpoints=None, showlegend=None, stream=None, text=None, textfont=None, textposition=None, textpositionsrc=None, textsrc=None, texttemplate=None, texttemplatesrc=None, uid=None, uirevision=None, unselected=None, visible=None, x=None, x0=None, xaxis=None, xcalendar=None, xhoverformat=None, xperiod=None, xperiod0=None, xperiodalignment=None, xsrc=None, y=None, y0=None, yaxis=None, ycalendar=None, yhoverformat=None, yperiod=None, yperiod0=None, yperiodalignment=None, ysrc=None, row=None, col=None, secondary_y=None, **kwargs, ) -> "FigureWidget": """ Add a new Scattergl trace The data visualized as scatter point or lines is set in `x` and `y` using the WebGL plotting engine. Bubble charts are achieved by setting `marker.size` and/or `marker.color` to a numerical arrays. Parameters ---------- connectgaps Determines whether or not gaps (i.e. {nan} or missing values) in the provided data arrays are connected. customdata Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, "scatter" traces also appends customdata items in the markers DOM elements customdatasrc Sets the source reference on Chart Studio Cloud for `customdata`. dx Sets the x coordinate step. See `x0` for more info. dy Sets the y coordinate step. See `y0` for more info. error_x :class:`plotly.graph_objects.scattergl.ErrorX` instance or dict with compatible properties error_y :class:`plotly.graph_objects.scattergl.ErrorY` instance or dict with compatible properties fill Sets the area to fill with a solid color. Defaults to "none" unless this trace is stacked, then it gets "tonexty" ("tonextx") if `orientation` is "v" ("h") Use with `fillcolor` if not "none". "tozerox" and "tozeroy" fill to x=0 and y=0 respectively. "tonextx" and "tonexty" fill between the endpoints of this trace and the endpoints of the trace before it, connecting those endpoints with straight lines (to make a stacked area graph); if there is no trace before it, they behave like "tozerox" and "tozeroy". "toself" connects the endpoints of the trace (or each segment of the trace if it has gaps) into a closed shape. "tonext" fills the space between two traces if one completely encloses the other (eg consecutive contour lines), and behaves like "toself" if there is no trace before it. "tonext" should not be used if one trace does not enclose the other. Traces in a `stackgroup` will only fill to (or be filled to) other traces in the same group. With multiple `stackgroup`s or some traces stacked and some not, if fill-linked traces are not already consecutive, the later ones will be pushed down in the drawing order. fillcolor Sets the fill color. Defaults to a half-transparent variant of the line color, marker color, or marker line color, whichever is available. hoverinfo Determines which trace information appear on hover. If `none` or `skip` are set, no information is displayed upon hovering. But, if `none` is set, click and hover events are still fired. hoverinfosrc Sets the source reference on Chart Studio Cloud for `hoverinfo`. hoverlabel :class:`plotly.graph_objects.scattergl.Hoverlabel` instance or dict with compatible properties hovertemplate Template string used for rendering the information that appear on hover box. Note that this will override `hoverinfo`. Variables are inserted using %{variable}, for example "y: %{y}" as well as %{xother}, {%_xother}, {%_xother_}, {%xother_}. When showing info for several points, "xother" will be added to those with different x positions from the first point. An underscore before or after "(x|y)other" will add a space on that side, only when this field is shown. Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. The variables available in `hovertemplate` are the ones emitted as event data described at this link https://plotly.com/javascript/plotlyjs-events/#event- data. Additionally, every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. Anything contained in tag `` is displayed in the secondary box, for example "{fullData.name}". To hide the secondary box completely, use an empty tag ``. hovertemplatesrc Sets the source reference on Chart Studio Cloud for `hovertemplate`. hovertext Sets hover text elements associated with each (x,y) pair. If a single string, the same string appears over all the data points. If an array of string, the items are mapped in order to the this trace's (x,y) coordinates. To be seen, trace `hoverinfo` must contain a "text" flag. hovertextsrc Sets the source reference on Chart Studio Cloud for `hovertext`. ids Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type. idssrc Sets the source reference on Chart Studio Cloud for `ids`. legend Sets the reference to a legend to show this trace in. References to these legends are "legend", "legend2", "legend3", etc. Settings for these legends are set in the layout, under `layout.legend`, `layout.legend2`, etc. legendgroup Sets the legend group for this trace. Traces and shapes part of the same legend group hide/show at the same time when toggling legend items. legendgrouptitle :class:`plotly.graph_objects.scattergl.Legendgrouptitle ` instance or dict with compatible properties legendrank Sets the legend rank for this trace. Items and groups with smaller ranks are presented on top/left side while with "reversed" `legend.traceorder` they are on bottom/right side. The default legendrank is 1000, so that you can use ranks less than 1000 to place certain items before all unranked items, and ranks greater than 1000 to go after all unranked items. When having unranked or equal rank items shapes would be displayed after traces i.e. according to their order in data and layout. legendwidth Sets the width (in px or fraction) of the legend for this trace. line :class:`plotly.graph_objects.scattergl.Line` instance or dict with compatible properties marker :class:`plotly.graph_objects.scattergl.Marker` instance or dict with compatible properties meta Assigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace `name`, graph, axis and colorbar `title.text`, annotation `text` `rangeselector`, `updatemenues` and `sliders` `label` text all support `meta`. To access the trace `meta` values in an attribute in the same trace, simply use `%{meta[i]}` where `i` is the index or key of the `meta` item in question. To access trace `meta` in layout attributes, use `%{data[n[.meta[i]}` where `i` is the index or key of the `meta` and `n` is the trace index. metasrc Sets the source reference on Chart Studio Cloud for `meta`. mode Determines the drawing mode for this scatter trace. name Sets the trace name. The trace name appears as the legend item and on hover. opacity Sets the opacity of the trace. selected :class:`plotly.graph_objects.scattergl.Selected` instance or dict with compatible properties selectedpoints Array containing integer indices of selected points. Has an effect only for traces that support selections. Note that an empty array means an empty selection where the `unselected` are turned on for all points, whereas, any other non-array values means no selection all where the `selected` and `unselected` styles have no effect. showlegend Determines whether or not an item corresponding to this trace is shown in the legend. stream :class:`plotly.graph_objects.scattergl.Stream` instance or dict with compatible properties text Sets text elements associated with each (x,y) pair. If a single string, the same string appears over all the data points. If an array of string, the items are mapped in order to the this trace's (x,y) coordinates. If trace `hoverinfo` contains a "text" flag and "hovertext" is not set, these elements will be seen in the hover labels. textfont Sets the text font. textposition Sets the positions of the `text` elements with respects to the (x,y) coordinates. textpositionsrc Sets the source reference on Chart Studio Cloud for `textposition`. textsrc Sets the source reference on Chart Studio Cloud for `text`. texttemplate Template string used for rendering the information text that appear on points. Note that this will override `textinfo`. Variables are inserted using %{variable}, for example "y: %{y}". Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. Every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. texttemplatesrc Sets the source reference on Chart Studio Cloud for `texttemplate`. uid Assign an id to this trace, Use this to provide object constancy between traces during animations and transitions. uirevision Controls persistence of some user-driven changes to the trace: `constraintrange` in `parcoords` traces, as well as some `editable: true` modifications such as `name` and `colorbar.title`. Defaults to `layout.uirevision`. Note that other user-driven trace attribute changes are controlled by `layout` attributes: `trace.visible` is controlled by `layout.legend.uirevision`, `selectedpoints` is controlled by `layout.selectionrevision`, and `colorbar.(x|y)` (accessible with `config: {editable: true}`) is controlled by `layout.editrevision`. Trace changes are tracked by `uid`, which only falls back on trace index if no `uid` is provided. So if your app can add/remove traces before the end of the `data` array, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace a `uid` that stays with it as it moves. unselected :class:`plotly.graph_objects.scattergl.Unselected` instance or dict with compatible properties visible Determines whether or not this trace is visible. If "legendonly", the trace is not drawn, but can appear as a legend item (provided that the legend itself is visible). x Sets the x coordinates. x0 Alternate to `x`. Builds a linear space of x coordinates. Use with `dx` where `x0` is the starting coordinate and `dx` the step. xaxis Sets a reference between this trace's x coordinates and a 2D cartesian x axis. If "x" (the default value), the x coordinates refer to `layout.xaxis`. If "x2", the x coordinates refer to `layout.xaxis2`, and so on. xcalendar Sets the calendar system to use with `x` date data. xhoverformat Sets the hover text formatting rulefor `x` using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-format/tree/v1.4.5#d3-format. And for dates see: https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format. We add two items to d3's date formatter: "%h" for half of the year as a decimal number as well as "%{n}f" for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat "%H~%M~%S.%2f" would display *09~15~23.46*By default the values are formatted using `xaxis.hoverformat`. xperiod Only relevant when the axis `type` is "date". Sets the period positioning in milliseconds or "M" on the x axis. Special values in the form of "M" could be used to declare the number of months. In this case `n` must be a positive integer. xperiod0 Only relevant when the axis `type` is "date". Sets the base for period positioning in milliseconds or date string on the x0 axis. When `x0period` is round number of weeks, the `x0period0` by default would be on a Sunday i.e. 2000-01-02, otherwise it would be at 2000-01-01. xperiodalignment Only relevant when the axis `type` is "date". Sets the alignment of data points on the x axis. xsrc Sets the source reference on Chart Studio Cloud for `x`. y Sets the y coordinates. y0 Alternate to `y`. Builds a linear space of y coordinates. Use with `dy` where `y0` is the starting coordinate and `dy` the step. yaxis Sets a reference between this trace's y coordinates and a 2D cartesian y axis. If "y" (the default value), the y coordinates refer to `layout.yaxis`. If "y2", the y coordinates refer to `layout.yaxis2`, and so on. ycalendar Sets the calendar system to use with `y` date data. yhoverformat Sets the hover text formatting rulefor `y` using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-format/tree/v1.4.5#d3-format. And for dates see: https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format. We add two items to d3's date formatter: "%h" for half of the year as a decimal number as well as "%{n}f" for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat "%H~%M~%S.%2f" would display *09~15~23.46*By default the values are formatted using `yaxis.hoverformat`. yperiod Only relevant when the axis `type` is "date". Sets the period positioning in milliseconds or "M" on the y axis. Special values in the form of "M" could be used to declare the number of months. In this case `n` must be a positive integer. yperiod0 Only relevant when the axis `type` is "date". Sets the base for period positioning in milliseconds or date string on the y0 axis. When `y0period` is round number of weeks, the `y0period0` by default would be on a Sunday i.e. 2000-01-02, otherwise it would be at 2000-01-01. yperiodalignment Only relevant when the axis `type` is "date". Sets the alignment of data points on the y axis. ysrc Sets the source reference on Chart Studio Cloud for `y`. row : 'all', int or None (default) Subplot row index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all rows in the specified column(s). col : 'all', int or None (default) Subplot col index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all columns in the specified row(s). secondary_y: boolean or None (default None) If True, associate this trace with the secondary y-axis of the subplot at the specified row and col. Only valid if all of the following conditions are satisfied: * The figure was created using `plotly.subplots.make_subplots`. * The row and col arguments are not None * The subplot at the specified row and col has type xy (which is the default) and secondary_y True. These properties are specified in the specs argument to make_subplots. See the make_subplots docstring for more info. Returns ------- FigureWidget """ from plotly.graph_objs import Scattergl new_trace = Scattergl( connectgaps=connectgaps, customdata=customdata, customdatasrc=customdatasrc, dx=dx, dy=dy, error_x=error_x, error_y=error_y, fill=fill, fillcolor=fillcolor, hoverinfo=hoverinfo, hoverinfosrc=hoverinfosrc, hoverlabel=hoverlabel, hovertemplate=hovertemplate, hovertemplatesrc=hovertemplatesrc, hovertext=hovertext, hovertextsrc=hovertextsrc, ids=ids, idssrc=idssrc, legend=legend, legendgroup=legendgroup, legendgrouptitle=legendgrouptitle, legendrank=legendrank, legendwidth=legendwidth, line=line, marker=marker, meta=meta, metasrc=metasrc, mode=mode, name=name, opacity=opacity, selected=selected, selectedpoints=selectedpoints, showlegend=showlegend, stream=stream, text=text, textfont=textfont, textposition=textposition, textpositionsrc=textpositionsrc, textsrc=textsrc, texttemplate=texttemplate, texttemplatesrc=texttemplatesrc, uid=uid, uirevision=uirevision, unselected=unselected, visible=visible, x=x, x0=x0, xaxis=xaxis, xcalendar=xcalendar, xhoverformat=xhoverformat, xperiod=xperiod, xperiod0=xperiod0, xperiodalignment=xperiodalignment, xsrc=xsrc, y=y, y0=y0, yaxis=yaxis, ycalendar=ycalendar, yhoverformat=yhoverformat, yperiod=yperiod, yperiod0=yperiod0, yperiodalignment=yperiodalignment, ysrc=ysrc, **kwargs, ) return self.add_trace(new_trace, row=row, col=col, secondary_y=secondary_y) def add_scattermap( self, below=None, cluster=None, connectgaps=None, customdata=None, customdatasrc=None, fill=None, fillcolor=None, hoverinfo=None, hoverinfosrc=None, hoverlabel=None, hovertemplate=None, hovertemplatesrc=None, hovertext=None, hovertextsrc=None, ids=None, idssrc=None, lat=None, latsrc=None, legend=None, legendgroup=None, legendgrouptitle=None, legendrank=None, legendwidth=None, line=None, lon=None, lonsrc=None, marker=None, meta=None, metasrc=None, mode=None, name=None, opacity=None, selected=None, selectedpoints=None, showlegend=None, stream=None, subplot=None, text=None, textfont=None, textposition=None, textsrc=None, texttemplate=None, texttemplatesrc=None, uid=None, uirevision=None, unselected=None, visible=None, row=None, col=None, **kwargs, ) -> "FigureWidget": """ Add a new Scattermap trace The data visualized as scatter point, lines or marker symbols on a MapLibre GL geographic map is provided by longitude/latitude pairs in `lon` and `lat`. Parameters ---------- below Determines if this scattermap trace's layers are to be inserted before the layer with the specified ID. By default, scattermap layers are inserted above all the base layers. To place the scattermap layers above every other layer, set `below` to "''". cluster :class:`plotly.graph_objects.scattermap.Cluster` instance or dict with compatible properties connectgaps Determines whether or not gaps (i.e. {nan} or missing values) in the provided data arrays are connected. customdata Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, "scatter" traces also appends customdata items in the markers DOM elements customdatasrc Sets the source reference on Chart Studio Cloud for `customdata`. fill Sets the area to fill with a solid color. Use with `fillcolor` if not "none". "toself" connects the endpoints of the trace (or each segment of the trace if it has gaps) into a closed shape. fillcolor Sets the fill color. Defaults to a half-transparent variant of the line color, marker color, or marker line color, whichever is available. hoverinfo Determines which trace information appear on hover. If `none` or `skip` are set, no information is displayed upon hovering. But, if `none` is set, click and hover events are still fired. hoverinfosrc Sets the source reference on Chart Studio Cloud for `hoverinfo`. hoverlabel :class:`plotly.graph_objects.scattermap.Hoverlabel` instance or dict with compatible properties hovertemplate Template string used for rendering the information that appear on hover box. Note that this will override `hoverinfo`. Variables are inserted using %{variable}, for example "y: %{y}" as well as %{xother}, {%_xother}, {%_xother_}, {%xother_}. When showing info for several points, "xother" will be added to those with different x positions from the first point. An underscore before or after "(x|y)other" will add a space on that side, only when this field is shown. Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. The variables available in `hovertemplate` are the ones emitted as event data described at this link https://plotly.com/javascript/plotlyjs-events/#event- data. Additionally, every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. Anything contained in tag `` is displayed in the secondary box, for example "{fullData.name}". To hide the secondary box completely, use an empty tag ``. hovertemplatesrc Sets the source reference on Chart Studio Cloud for `hovertemplate`. hovertext Sets hover text elements associated with each (lon,lat) pair If a single string, the same string appears over all the data points. If an array of string, the items are mapped in order to the this trace's (lon,lat) coordinates. To be seen, trace `hoverinfo` must contain a "text" flag. hovertextsrc Sets the source reference on Chart Studio Cloud for `hovertext`. ids Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type. idssrc Sets the source reference on Chart Studio Cloud for `ids`. lat Sets the latitude coordinates (in degrees North). latsrc Sets the source reference on Chart Studio Cloud for `lat`. legend Sets the reference to a legend to show this trace in. References to these legends are "legend", "legend2", "legend3", etc. Settings for these legends are set in the layout, under `layout.legend`, `layout.legend2`, etc. legendgroup Sets the legend group for this trace. Traces and shapes part of the same legend group hide/show at the same time when toggling legend items. legendgrouptitle :class:`plotly.graph_objects.scattermap.Legendgrouptitl e` instance or dict with compatible properties legendrank Sets the legend rank for this trace. Items and groups with smaller ranks are presented on top/left side while with "reversed" `legend.traceorder` they are on bottom/right side. The default legendrank is 1000, so that you can use ranks less than 1000 to place certain items before all unranked items, and ranks greater than 1000 to go after all unranked items. When having unranked or equal rank items shapes would be displayed after traces i.e. according to their order in data and layout. legendwidth Sets the width (in px or fraction) of the legend for this trace. line :class:`plotly.graph_objects.scattermap.Line` instance or dict with compatible properties lon Sets the longitude coordinates (in degrees East). lonsrc Sets the source reference on Chart Studio Cloud for `lon`. marker :class:`plotly.graph_objects.scattermap.Marker` instance or dict with compatible properties meta Assigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace `name`, graph, axis and colorbar `title.text`, annotation `text` `rangeselector`, `updatemenues` and `sliders` `label` text all support `meta`. To access the trace `meta` values in an attribute in the same trace, simply use `%{meta[i]}` where `i` is the index or key of the `meta` item in question. To access trace `meta` in layout attributes, use `%{data[n[.meta[i]}` where `i` is the index or key of the `meta` and `n` is the trace index. metasrc Sets the source reference on Chart Studio Cloud for `meta`. mode Determines the drawing mode for this scatter trace. If the provided `mode` includes "text" then the `text` elements appear at the coordinates. Otherwise, the `text` elements appear on hover. name Sets the trace name. The trace name appears as the legend item and on hover. opacity Sets the opacity of the trace. selected :class:`plotly.graph_objects.scattermap.Selected` instance or dict with compatible properties selectedpoints Array containing integer indices of selected points. Has an effect only for traces that support selections. Note that an empty array means an empty selection where the `unselected` are turned on for all points, whereas, any other non-array values means no selection all where the `selected` and `unselected` styles have no effect. showlegend Determines whether or not an item corresponding to this trace is shown in the legend. stream :class:`plotly.graph_objects.scattermap.Stream` instance or dict with compatible properties subplot Sets a reference between this trace's data coordinates and a map subplot. If "map" (the default value), the data refer to `layout.map`. If "map2", the data refer to `layout.map2`, and so on. text Sets text elements associated with each (lon,lat) pair If a single string, the same string appears over all the data points. If an array of string, the items are mapped in order to the this trace's (lon,lat) coordinates. If trace `hoverinfo` contains a "text" flag and "hovertext" is not set, these elements will be seen in the hover labels. textfont Sets the icon text font (color=map.layer.paint.text- color, size=map.layer.layout.text-size). Has an effect only when `type` is set to "symbol". textposition Sets the positions of the `text` elements with respects to the (x,y) coordinates. textsrc Sets the source reference on Chart Studio Cloud for `text`. texttemplate Template string used for rendering the information text that appear on points. Note that this will override `textinfo`. Variables are inserted using %{variable}, for example "y: %{y}". Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. Every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. Finally, the template string has access to variables `lat`, `lon` and `text`. texttemplatesrc Sets the source reference on Chart Studio Cloud for `texttemplate`. uid Assign an id to this trace, Use this to provide object constancy between traces during animations and transitions. uirevision Controls persistence of some user-driven changes to the trace: `constraintrange` in `parcoords` traces, as well as some `editable: true` modifications such as `name` and `colorbar.title`. Defaults to `layout.uirevision`. Note that other user-driven trace attribute changes are controlled by `layout` attributes: `trace.visible` is controlled by `layout.legend.uirevision`, `selectedpoints` is controlled by `layout.selectionrevision`, and `colorbar.(x|y)` (accessible with `config: {editable: true}`) is controlled by `layout.editrevision`. Trace changes are tracked by `uid`, which only falls back on trace index if no `uid` is provided. So if your app can add/remove traces before the end of the `data` array, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace a `uid` that stays with it as it moves. unselected :class:`plotly.graph_objects.scattermap.Unselected` instance or dict with compatible properties visible Determines whether or not this trace is visible. If "legendonly", the trace is not drawn, but can appear as a legend item (provided that the legend itself is visible). row : 'all', int or None (default) Subplot row index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all rows in the specified column(s). col : 'all', int or None (default) Subplot col index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all columns in the specified row(s). Returns ------- FigureWidget """ from plotly.graph_objs import Scattermap new_trace = Scattermap( below=below, cluster=cluster, connectgaps=connectgaps, customdata=customdata, customdatasrc=customdatasrc, fill=fill, fillcolor=fillcolor, hoverinfo=hoverinfo, hoverinfosrc=hoverinfosrc, hoverlabel=hoverlabel, hovertemplate=hovertemplate, hovertemplatesrc=hovertemplatesrc, hovertext=hovertext, hovertextsrc=hovertextsrc, ids=ids, idssrc=idssrc, lat=lat, latsrc=latsrc, legend=legend, legendgroup=legendgroup, legendgrouptitle=legendgrouptitle, legendrank=legendrank, legendwidth=legendwidth, line=line, lon=lon, lonsrc=lonsrc, marker=marker, meta=meta, metasrc=metasrc, mode=mode, name=name, opacity=opacity, selected=selected, selectedpoints=selectedpoints, showlegend=showlegend, stream=stream, subplot=subplot, text=text, textfont=textfont, textposition=textposition, textsrc=textsrc, texttemplate=texttemplate, texttemplatesrc=texttemplatesrc, uid=uid, uirevision=uirevision, unselected=unselected, visible=visible, **kwargs, ) return self.add_trace(new_trace, row=row, col=col) def add_scattermapbox( self, below=None, cluster=None, connectgaps=None, customdata=None, customdatasrc=None, fill=None, fillcolor=None, hoverinfo=None, hoverinfosrc=None, hoverlabel=None, hovertemplate=None, hovertemplatesrc=None, hovertext=None, hovertextsrc=None, ids=None, idssrc=None, lat=None, latsrc=None, legend=None, legendgroup=None, legendgrouptitle=None, legendrank=None, legendwidth=None, line=None, lon=None, lonsrc=None, marker=None, meta=None, metasrc=None, mode=None, name=None, opacity=None, selected=None, selectedpoints=None, showlegend=None, stream=None, subplot=None, text=None, textfont=None, textposition=None, textsrc=None, texttemplate=None, texttemplatesrc=None, uid=None, uirevision=None, unselected=None, visible=None, row=None, col=None, **kwargs, ) -> "FigureWidget": """ Add a new Scattermapbox trace "scattermapbox" trace is deprecated! Please consider switching to the "scattermap" trace type and `map` subplots. Learn more at: https://plotly.com/python/maplibre-migration/ as well as https://plotly.com/javascript/maplibre-migration/ The data visualized as scatter point, lines or marker symbols on a Mapbox GL geographic map is provided by longitude/latitude pairs in `lon` and `lat`. Parameters ---------- below Determines if this scattermapbox trace's layers are to be inserted before the layer with the specified ID. By default, scattermapbox layers are inserted above all the base layers. To place the scattermapbox layers above every other layer, set `below` to "''". cluster :class:`plotly.graph_objects.scattermapbox.Cluster` instance or dict with compatible properties connectgaps Determines whether or not gaps (i.e. {nan} or missing values) in the provided data arrays are connected. customdata Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, "scatter" traces also appends customdata items in the markers DOM elements customdatasrc Sets the source reference on Chart Studio Cloud for `customdata`. fill Sets the area to fill with a solid color. Use with `fillcolor` if not "none". "toself" connects the endpoints of the trace (or each segment of the trace if it has gaps) into a closed shape. fillcolor Sets the fill color. Defaults to a half-transparent variant of the line color, marker color, or marker line color, whichever is available. hoverinfo Determines which trace information appear on hover. If `none` or `skip` are set, no information is displayed upon hovering. But, if `none` is set, click and hover events are still fired. hoverinfosrc Sets the source reference on Chart Studio Cloud for `hoverinfo`. hoverlabel :class:`plotly.graph_objects.scattermapbox.Hoverlabel` instance or dict with compatible properties hovertemplate Template string used for rendering the information that appear on hover box. Note that this will override `hoverinfo`. Variables are inserted using %{variable}, for example "y: %{y}" as well as %{xother}, {%_xother}, {%_xother_}, {%xother_}. When showing info for several points, "xother" will be added to those with different x positions from the first point. An underscore before or after "(x|y)other" will add a space on that side, only when this field is shown. Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. The variables available in `hovertemplate` are the ones emitted as event data described at this link https://plotly.com/javascript/plotlyjs-events/#event- data. Additionally, every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. Anything contained in tag `` is displayed in the secondary box, for example "{fullData.name}". To hide the secondary box completely, use an empty tag ``. hovertemplatesrc Sets the source reference on Chart Studio Cloud for `hovertemplate`. hovertext Sets hover text elements associated with each (lon,lat) pair If a single string, the same string appears over all the data points. If an array of string, the items are mapped in order to the this trace's (lon,lat) coordinates. To be seen, trace `hoverinfo` must contain a "text" flag. hovertextsrc Sets the source reference on Chart Studio Cloud for `hovertext`. ids Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type. idssrc Sets the source reference on Chart Studio Cloud for `ids`. lat Sets the latitude coordinates (in degrees North). latsrc Sets the source reference on Chart Studio Cloud for `lat`. legend Sets the reference to a legend to show this trace in. References to these legends are "legend", "legend2", "legend3", etc. Settings for these legends are set in the layout, under `layout.legend`, `layout.legend2`, etc. legendgroup Sets the legend group for this trace. Traces and shapes part of the same legend group hide/show at the same time when toggling legend items. legendgrouptitle :class:`plotly.graph_objects.scattermapbox.Legendgroupt itle` instance or dict with compatible properties legendrank Sets the legend rank for this trace. Items and groups with smaller ranks are presented on top/left side while with "reversed" `legend.traceorder` they are on bottom/right side. The default legendrank is 1000, so that you can use ranks less than 1000 to place certain items before all unranked items, and ranks greater than 1000 to go after all unranked items. When having unranked or equal rank items shapes would be displayed after traces i.e. according to their order in data and layout. legendwidth Sets the width (in px or fraction) of the legend for this trace. line :class:`plotly.graph_objects.scattermapbox.Line` instance or dict with compatible properties lon Sets the longitude coordinates (in degrees East). lonsrc Sets the source reference on Chart Studio Cloud for `lon`. marker :class:`plotly.graph_objects.scattermapbox.Marker` instance or dict with compatible properties meta Assigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace `name`, graph, axis and colorbar `title.text`, annotation `text` `rangeselector`, `updatemenues` and `sliders` `label` text all support `meta`. To access the trace `meta` values in an attribute in the same trace, simply use `%{meta[i]}` where `i` is the index or key of the `meta` item in question. To access trace `meta` in layout attributes, use `%{data[n[.meta[i]}` where `i` is the index or key of the `meta` and `n` is the trace index. metasrc Sets the source reference on Chart Studio Cloud for `meta`. mode Determines the drawing mode for this scatter trace. If the provided `mode` includes "text" then the `text` elements appear at the coordinates. Otherwise, the `text` elements appear on hover. name Sets the trace name. The trace name appears as the legend item and on hover. opacity Sets the opacity of the trace. selected :class:`plotly.graph_objects.scattermapbox.Selected` instance or dict with compatible properties selectedpoints Array containing integer indices of selected points. Has an effect only for traces that support selections. Note that an empty array means an empty selection where the `unselected` are turned on for all points, whereas, any other non-array values means no selection all where the `selected` and `unselected` styles have no effect. showlegend Determines whether or not an item corresponding to this trace is shown in the legend. stream :class:`plotly.graph_objects.scattermapbox.Stream` instance or dict with compatible properties subplot mapbox subplots and traces are deprecated! Please consider switching to `map` subplots and traces. Learn more at: https://plotly.com/python/maplibre-migration/ as well as https://plotly.com/javascript/maplibre- migration/ Sets a reference between this trace's data coordinates and a mapbox subplot. If "mapbox" (the default value), the data refer to `layout.mapbox`. If "mapbox2", the data refer to `layout.mapbox2`, and so on. text Sets text elements associated with each (lon,lat) pair If a single string, the same string appears over all the data points. If an array of string, the items are mapped in order to the this trace's (lon,lat) coordinates. If trace `hoverinfo` contains a "text" flag and "hovertext" is not set, these elements will be seen in the hover labels. textfont Sets the icon text font (color=mapbox.layer.paint.text- color, size=mapbox.layer.layout.text-size). Has an effect only when `type` is set to "symbol". textposition Sets the positions of the `text` elements with respects to the (x,y) coordinates. textsrc Sets the source reference on Chart Studio Cloud for `text`. texttemplate Template string used for rendering the information text that appear on points. Note that this will override `textinfo`. Variables are inserted using %{variable}, for example "y: %{y}". Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. Every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. Finally, the template string has access to variables `lat`, `lon` and `text`. texttemplatesrc Sets the source reference on Chart Studio Cloud for `texttemplate`. uid Assign an id to this trace, Use this to provide object constancy between traces during animations and transitions. uirevision Controls persistence of some user-driven changes to the trace: `constraintrange` in `parcoords` traces, as well as some `editable: true` modifications such as `name` and `colorbar.title`. Defaults to `layout.uirevision`. Note that other user-driven trace attribute changes are controlled by `layout` attributes: `trace.visible` is controlled by `layout.legend.uirevision`, `selectedpoints` is controlled by `layout.selectionrevision`, and `colorbar.(x|y)` (accessible with `config: {editable: true}`) is controlled by `layout.editrevision`. Trace changes are tracked by `uid`, which only falls back on trace index if no `uid` is provided. So if your app can add/remove traces before the end of the `data` array, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace a `uid` that stays with it as it moves. unselected :class:`plotly.graph_objects.scattermapbox.Unselected` instance or dict with compatible properties visible Determines whether or not this trace is visible. If "legendonly", the trace is not drawn, but can appear as a legend item (provided that the legend itself is visible). row : 'all', int or None (default) Subplot row index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all rows in the specified column(s). col : 'all', int or None (default) Subplot col index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all columns in the specified row(s). Returns ------- FigureWidget """ from plotly.graph_objs import Scattermapbox new_trace = Scattermapbox( below=below, cluster=cluster, connectgaps=connectgaps, customdata=customdata, customdatasrc=customdatasrc, fill=fill, fillcolor=fillcolor, hoverinfo=hoverinfo, hoverinfosrc=hoverinfosrc, hoverlabel=hoverlabel, hovertemplate=hovertemplate, hovertemplatesrc=hovertemplatesrc, hovertext=hovertext, hovertextsrc=hovertextsrc, ids=ids, idssrc=idssrc, lat=lat, latsrc=latsrc, legend=legend, legendgroup=legendgroup, legendgrouptitle=legendgrouptitle, legendrank=legendrank, legendwidth=legendwidth, line=line, lon=lon, lonsrc=lonsrc, marker=marker, meta=meta, metasrc=metasrc, mode=mode, name=name, opacity=opacity, selected=selected, selectedpoints=selectedpoints, showlegend=showlegend, stream=stream, subplot=subplot, text=text, textfont=textfont, textposition=textposition, textsrc=textsrc, texttemplate=texttemplate, texttemplatesrc=texttemplatesrc, uid=uid, uirevision=uirevision, unselected=unselected, visible=visible, **kwargs, ) return self.add_trace(new_trace, row=row, col=col) def add_scatterpolar( self, cliponaxis=None, connectgaps=None, customdata=None, customdatasrc=None, dr=None, dtheta=None, fill=None, fillcolor=None, hoverinfo=None, hoverinfosrc=None, hoverlabel=None, hoveron=None, hovertemplate=None, hovertemplatesrc=None, hovertext=None, hovertextsrc=None, ids=None, idssrc=None, legend=None, legendgroup=None, legendgrouptitle=None, legendrank=None, legendwidth=None, line=None, marker=None, meta=None, metasrc=None, mode=None, name=None, opacity=None, r=None, r0=None, rsrc=None, selected=None, selectedpoints=None, showlegend=None, stream=None, subplot=None, text=None, textfont=None, textposition=None, textpositionsrc=None, textsrc=None, texttemplate=None, texttemplatesrc=None, theta=None, theta0=None, thetasrc=None, thetaunit=None, uid=None, uirevision=None, unselected=None, visible=None, row=None, col=None, **kwargs, ) -> "FigureWidget": """ Add a new Scatterpolar trace The scatterpolar trace type encompasses line charts, scatter charts, text charts, and bubble charts in polar coordinates. The data visualized as scatter point or lines is set in `r` (radial) and `theta` (angular) coordinates Text (appearing either on the chart or on hover only) is via `text`. Bubble charts are achieved by setting `marker.size` and/or `marker.color` to numerical arrays. Parameters ---------- cliponaxis Determines whether or not markers and text nodes are clipped about the subplot axes. To show markers and text nodes above axis lines and tick labels, make sure to set `xaxis.layer` and `yaxis.layer` to *below traces*. connectgaps Determines whether or not gaps (i.e. {nan} or missing values) in the provided data arrays are connected. customdata Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, "scatter" traces also appends customdata items in the markers DOM elements customdatasrc Sets the source reference on Chart Studio Cloud for `customdata`. dr Sets the r coordinate step. dtheta Sets the theta coordinate step. By default, the `dtheta` step equals the subplot's period divided by the length of the `r` coordinates. fill Sets the area to fill with a solid color. Use with `fillcolor` if not "none". scatterpolar has a subset of the options available to scatter. "toself" connects the endpoints of the trace (or each segment of the trace if it has gaps) into a closed shape. "tonext" fills the space between two traces if one completely encloses the other (eg consecutive contour lines), and behaves like "toself" if there is no trace before it. "tonext" should not be used if one trace does not enclose the other. fillcolor Sets the fill color. Defaults to a half-transparent variant of the line color, marker color, or marker line color, whichever is available. hoverinfo Determines which trace information appear on hover. If `none` or `skip` are set, no information is displayed upon hovering. But, if `none` is set, click and hover events are still fired. hoverinfosrc Sets the source reference on Chart Studio Cloud for `hoverinfo`. hoverlabel :class:`plotly.graph_objects.scatterpolar.Hoverlabel` instance or dict with compatible properties hoveron Do the hover effects highlight individual points (markers or line points) or do they highlight filled regions? If the fill is "toself" or "tonext" and there are no markers or text, then the default is "fills", otherwise it is "points". hovertemplate Template string used for rendering the information that appear on hover box. Note that this will override `hoverinfo`. Variables are inserted using %{variable}, for example "y: %{y}" as well as %{xother}, {%_xother}, {%_xother_}, {%xother_}. When showing info for several points, "xother" will be added to those with different x positions from the first point. An underscore before or after "(x|y)other" will add a space on that side, only when this field is shown. Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. The variables available in `hovertemplate` are the ones emitted as event data described at this link https://plotly.com/javascript/plotlyjs-events/#event- data. Additionally, every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. Anything contained in tag `` is displayed in the secondary box, for example "{fullData.name}". To hide the secondary box completely, use an empty tag ``. hovertemplatesrc Sets the source reference on Chart Studio Cloud for `hovertemplate`. hovertext Sets hover text elements associated with each (x,y) pair. If a single string, the same string appears over all the data points. If an array of string, the items are mapped in order to the this trace's (x,y) coordinates. To be seen, trace `hoverinfo` must contain a "text" flag. hovertextsrc Sets the source reference on Chart Studio Cloud for `hovertext`. ids Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type. idssrc Sets the source reference on Chart Studio Cloud for `ids`. legend Sets the reference to a legend to show this trace in. References to these legends are "legend", "legend2", "legend3", etc. Settings for these legends are set in the layout, under `layout.legend`, `layout.legend2`, etc. legendgroup Sets the legend group for this trace. Traces and shapes part of the same legend group hide/show at the same time when toggling legend items. legendgrouptitle :class:`plotly.graph_objects.scatterpolar.Legendgroupti tle` instance or dict with compatible properties legendrank Sets the legend rank for this trace. Items and groups with smaller ranks are presented on top/left side while with "reversed" `legend.traceorder` they are on bottom/right side. The default legendrank is 1000, so that you can use ranks less than 1000 to place certain items before all unranked items, and ranks greater than 1000 to go after all unranked items. When having unranked or equal rank items shapes would be displayed after traces i.e. according to their order in data and layout. legendwidth Sets the width (in px or fraction) of the legend for this trace. line :class:`plotly.graph_objects.scatterpolar.Line` instance or dict with compatible properties marker :class:`plotly.graph_objects.scatterpolar.Marker` instance or dict with compatible properties meta Assigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace `name`, graph, axis and colorbar `title.text`, annotation `text` `rangeselector`, `updatemenues` and `sliders` `label` text all support `meta`. To access the trace `meta` values in an attribute in the same trace, simply use `%{meta[i]}` where `i` is the index or key of the `meta` item in question. To access trace `meta` in layout attributes, use `%{data[n[.meta[i]}` where `i` is the index or key of the `meta` and `n` is the trace index. metasrc Sets the source reference on Chart Studio Cloud for `meta`. mode Determines the drawing mode for this scatter trace. If the provided `mode` includes "text" then the `text` elements appear at the coordinates. Otherwise, the `text` elements appear on hover. If there are less than 20 points and the trace is not stacked then the default is "lines+markers". Otherwise, "lines". name Sets the trace name. The trace name appears as the legend item and on hover. opacity Sets the opacity of the trace. r Sets the radial coordinates r0 Alternate to `r`. Builds a linear space of r coordinates. Use with `dr` where `r0` is the starting coordinate and `dr` the step. rsrc Sets the source reference on Chart Studio Cloud for `r`. selected :class:`plotly.graph_objects.scatterpolar.Selected` instance or dict with compatible properties selectedpoints Array containing integer indices of selected points. Has an effect only for traces that support selections. Note that an empty array means an empty selection where the `unselected` are turned on for all points, whereas, any other non-array values means no selection all where the `selected` and `unselected` styles have no effect. showlegend Determines whether or not an item corresponding to this trace is shown in the legend. stream :class:`plotly.graph_objects.scatterpolar.Stream` instance or dict with compatible properties subplot Sets a reference between this trace's data coordinates and a polar subplot. If "polar" (the default value), the data refer to `layout.polar`. If "polar2", the data refer to `layout.polar2`, and so on. text Sets text elements associated with each (x,y) pair. If a single string, the same string appears over all the data points. If an array of string, the items are mapped in order to the this trace's (x,y) coordinates. If trace `hoverinfo` contains a "text" flag and "hovertext" is not set, these elements will be seen in the hover labels. textfont Sets the text font. textposition Sets the positions of the `text` elements with respects to the (x,y) coordinates. textpositionsrc Sets the source reference on Chart Studio Cloud for `textposition`. textsrc Sets the source reference on Chart Studio Cloud for `text`. texttemplate Template string used for rendering the information text that appear on points. Note that this will override `textinfo`. Variables are inserted using %{variable}, for example "y: %{y}". Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. Every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. Finally, the template string has access to variables `r`, `theta` and `text`. texttemplatesrc Sets the source reference on Chart Studio Cloud for `texttemplate`. theta Sets the angular coordinates theta0 Alternate to `theta`. Builds a linear space of theta coordinates. Use with `dtheta` where `theta0` is the starting coordinate and `dtheta` the step. thetasrc Sets the source reference on Chart Studio Cloud for `theta`. thetaunit Sets the unit of input "theta" values. Has an effect only when on "linear" angular axes. uid Assign an id to this trace, Use this to provide object constancy between traces during animations and transitions. uirevision Controls persistence of some user-driven changes to the trace: `constraintrange` in `parcoords` traces, as well as some `editable: true` modifications such as `name` and `colorbar.title`. Defaults to `layout.uirevision`. Note that other user-driven trace attribute changes are controlled by `layout` attributes: `trace.visible` is controlled by `layout.legend.uirevision`, `selectedpoints` is controlled by `layout.selectionrevision`, and `colorbar.(x|y)` (accessible with `config: {editable: true}`) is controlled by `layout.editrevision`. Trace changes are tracked by `uid`, which only falls back on trace index if no `uid` is provided. So if your app can add/remove traces before the end of the `data` array, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace a `uid` that stays with it as it moves. unselected :class:`plotly.graph_objects.scatterpolar.Unselected` instance or dict with compatible properties visible Determines whether or not this trace is visible. If "legendonly", the trace is not drawn, but can appear as a legend item (provided that the legend itself is visible). row : 'all', int or None (default) Subplot row index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all rows in the specified column(s). col : 'all', int or None (default) Subplot col index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all columns in the specified row(s). Returns ------- FigureWidget """ from plotly.graph_objs import Scatterpolar new_trace = Scatterpolar( cliponaxis=cliponaxis, connectgaps=connectgaps, customdata=customdata, customdatasrc=customdatasrc, dr=dr, dtheta=dtheta, fill=fill, fillcolor=fillcolor, hoverinfo=hoverinfo, hoverinfosrc=hoverinfosrc, hoverlabel=hoverlabel, hoveron=hoveron, hovertemplate=hovertemplate, hovertemplatesrc=hovertemplatesrc, hovertext=hovertext, hovertextsrc=hovertextsrc, ids=ids, idssrc=idssrc, legend=legend, legendgroup=legendgroup, legendgrouptitle=legendgrouptitle, legendrank=legendrank, legendwidth=legendwidth, line=line, marker=marker, meta=meta, metasrc=metasrc, mode=mode, name=name, opacity=opacity, r=r, r0=r0, rsrc=rsrc, selected=selected, selectedpoints=selectedpoints, showlegend=showlegend, stream=stream, subplot=subplot, text=text, textfont=textfont, textposition=textposition, textpositionsrc=textpositionsrc, textsrc=textsrc, texttemplate=texttemplate, texttemplatesrc=texttemplatesrc, theta=theta, theta0=theta0, thetasrc=thetasrc, thetaunit=thetaunit, uid=uid, uirevision=uirevision, unselected=unselected, visible=visible, **kwargs, ) return self.add_trace(new_trace, row=row, col=col) def add_scatterpolargl( self, connectgaps=None, customdata=None, customdatasrc=None, dr=None, dtheta=None, fill=None, fillcolor=None, hoverinfo=None, hoverinfosrc=None, hoverlabel=None, hovertemplate=None, hovertemplatesrc=None, hovertext=None, hovertextsrc=None, ids=None, idssrc=None, legend=None, legendgroup=None, legendgrouptitle=None, legendrank=None, legendwidth=None, line=None, marker=None, meta=None, metasrc=None, mode=None, name=None, opacity=None, r=None, r0=None, rsrc=None, selected=None, selectedpoints=None, showlegend=None, stream=None, subplot=None, text=None, textfont=None, textposition=None, textpositionsrc=None, textsrc=None, texttemplate=None, texttemplatesrc=None, theta=None, theta0=None, thetasrc=None, thetaunit=None, uid=None, uirevision=None, unselected=None, visible=None, row=None, col=None, **kwargs, ) -> "FigureWidget": """ Add a new Scatterpolargl trace The scatterpolargl trace type encompasses line charts, scatter charts, and bubble charts in polar coordinates using the WebGL plotting engine. The data visualized as scatter point or lines is set in `r` (radial) and `theta` (angular) coordinates Bubble charts are achieved by setting `marker.size` and/or `marker.color` to numerical arrays. Parameters ---------- connectgaps Determines whether or not gaps (i.e. {nan} or missing values) in the provided data arrays are connected. customdata Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, "scatter" traces also appends customdata items in the markers DOM elements customdatasrc Sets the source reference on Chart Studio Cloud for `customdata`. dr Sets the r coordinate step. dtheta Sets the theta coordinate step. By default, the `dtheta` step equals the subplot's period divided by the length of the `r` coordinates. fill Sets the area to fill with a solid color. Defaults to "none" unless this trace is stacked, then it gets "tonexty" ("tonextx") if `orientation` is "v" ("h") Use with `fillcolor` if not "none". "tozerox" and "tozeroy" fill to x=0 and y=0 respectively. "tonextx" and "tonexty" fill between the endpoints of this trace and the endpoints of the trace before it, connecting those endpoints with straight lines (to make a stacked area graph); if there is no trace before it, they behave like "tozerox" and "tozeroy". "toself" connects the endpoints of the trace (or each segment of the trace if it has gaps) into a closed shape. "tonext" fills the space between two traces if one completely encloses the other (eg consecutive contour lines), and behaves like "toself" if there is no trace before it. "tonext" should not be used if one trace does not enclose the other. Traces in a `stackgroup` will only fill to (or be filled to) other traces in the same group. With multiple `stackgroup`s or some traces stacked and some not, if fill-linked traces are not already consecutive, the later ones will be pushed down in the drawing order. fillcolor Sets the fill color. Defaults to a half-transparent variant of the line color, marker color, or marker line color, whichever is available. hoverinfo Determines which trace information appear on hover. If `none` or `skip` are set, no information is displayed upon hovering. But, if `none` is set, click and hover events are still fired. hoverinfosrc Sets the source reference on Chart Studio Cloud for `hoverinfo`. hoverlabel :class:`plotly.graph_objects.scatterpolargl.Hoverlabel` instance or dict with compatible properties hovertemplate Template string used for rendering the information that appear on hover box. Note that this will override `hoverinfo`. Variables are inserted using %{variable}, for example "y: %{y}" as well as %{xother}, {%_xother}, {%_xother_}, {%xother_}. When showing info for several points, "xother" will be added to those with different x positions from the first point. An underscore before or after "(x|y)other" will add a space on that side, only when this field is shown. Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. The variables available in `hovertemplate` are the ones emitted as event data described at this link https://plotly.com/javascript/plotlyjs-events/#event- data. Additionally, every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. Anything contained in tag `` is displayed in the secondary box, for example "{fullData.name}". To hide the secondary box completely, use an empty tag ``. hovertemplatesrc Sets the source reference on Chart Studio Cloud for `hovertemplate`. hovertext Sets hover text elements associated with each (x,y) pair. If a single string, the same string appears over all the data points. If an array of string, the items are mapped in order to the this trace's (x,y) coordinates. To be seen, trace `hoverinfo` must contain a "text" flag. hovertextsrc Sets the source reference on Chart Studio Cloud for `hovertext`. ids Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type. idssrc Sets the source reference on Chart Studio Cloud for `ids`. legend Sets the reference to a legend to show this trace in. References to these legends are "legend", "legend2", "legend3", etc. Settings for these legends are set in the layout, under `layout.legend`, `layout.legend2`, etc. legendgroup Sets the legend group for this trace. Traces and shapes part of the same legend group hide/show at the same time when toggling legend items. legendgrouptitle :class:`plotly.graph_objects.scatterpolargl.Legendgroup title` instance or dict with compatible properties legendrank Sets the legend rank for this trace. Items and groups with smaller ranks are presented on top/left side while with "reversed" `legend.traceorder` they are on bottom/right side. The default legendrank is 1000, so that you can use ranks less than 1000 to place certain items before all unranked items, and ranks greater than 1000 to go after all unranked items. When having unranked or equal rank items shapes would be displayed after traces i.e. according to their order in data and layout. legendwidth Sets the width (in px or fraction) of the legend for this trace. line :class:`plotly.graph_objects.scatterpolargl.Line` instance or dict with compatible properties marker :class:`plotly.graph_objects.scatterpolargl.Marker` instance or dict with compatible properties meta Assigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace `name`, graph, axis and colorbar `title.text`, annotation `text` `rangeselector`, `updatemenues` and `sliders` `label` text all support `meta`. To access the trace `meta` values in an attribute in the same trace, simply use `%{meta[i]}` where `i` is the index or key of the `meta` item in question. To access trace `meta` in layout attributes, use `%{data[n[.meta[i]}` where `i` is the index or key of the `meta` and `n` is the trace index. metasrc Sets the source reference on Chart Studio Cloud for `meta`. mode Determines the drawing mode for this scatter trace. If the provided `mode` includes "text" then the `text` elements appear at the coordinates. Otherwise, the `text` elements appear on hover. If there are less than 20 points and the trace is not stacked then the default is "lines+markers". Otherwise, "lines". name Sets the trace name. The trace name appears as the legend item and on hover. opacity Sets the opacity of the trace. r Sets the radial coordinates r0 Alternate to `r`. Builds a linear space of r coordinates. Use with `dr` where `r0` is the starting coordinate and `dr` the step. rsrc Sets the source reference on Chart Studio Cloud for `r`. selected :class:`plotly.graph_objects.scatterpolargl.Selected` instance or dict with compatible properties selectedpoints Array containing integer indices of selected points. Has an effect only for traces that support selections. Note that an empty array means an empty selection where the `unselected` are turned on for all points, whereas, any other non-array values means no selection all where the `selected` and `unselected` styles have no effect. showlegend Determines whether or not an item corresponding to this trace is shown in the legend. stream :class:`plotly.graph_objects.scatterpolargl.Stream` instance or dict with compatible properties subplot Sets a reference between this trace's data coordinates and a polar subplot. If "polar" (the default value), the data refer to `layout.polar`. If "polar2", the data refer to `layout.polar2`, and so on. text Sets text elements associated with each (x,y) pair. If a single string, the same string appears over all the data points. If an array of string, the items are mapped in order to the this trace's (x,y) coordinates. If trace `hoverinfo` contains a "text" flag and "hovertext" is not set, these elements will be seen in the hover labels. textfont Sets the text font. textposition Sets the positions of the `text` elements with respects to the (x,y) coordinates. textpositionsrc Sets the source reference on Chart Studio Cloud for `textposition`. textsrc Sets the source reference on Chart Studio Cloud for `text`. texttemplate Template string used for rendering the information text that appear on points. Note that this will override `textinfo`. Variables are inserted using %{variable}, for example "y: %{y}". Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. Every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. Finally, the template string has access to variables `r`, `theta` and `text`. texttemplatesrc Sets the source reference on Chart Studio Cloud for `texttemplate`. theta Sets the angular coordinates theta0 Alternate to `theta`. Builds a linear space of theta coordinates. Use with `dtheta` where `theta0` is the starting coordinate and `dtheta` the step. thetasrc Sets the source reference on Chart Studio Cloud for `theta`. thetaunit Sets the unit of input "theta" values. Has an effect only when on "linear" angular axes. uid Assign an id to this trace, Use this to provide object constancy between traces during animations and transitions. uirevision Controls persistence of some user-driven changes to the trace: `constraintrange` in `parcoords` traces, as well as some `editable: true` modifications such as `name` and `colorbar.title`. Defaults to `layout.uirevision`. Note that other user-driven trace attribute changes are controlled by `layout` attributes: `trace.visible` is controlled by `layout.legend.uirevision`, `selectedpoints` is controlled by `layout.selectionrevision`, and `colorbar.(x|y)` (accessible with `config: {editable: true}`) is controlled by `layout.editrevision`. Trace changes are tracked by `uid`, which only falls back on trace index if no `uid` is provided. So if your app can add/remove traces before the end of the `data` array, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace a `uid` that stays with it as it moves. unselected :class:`plotly.graph_objects.scatterpolargl.Unselected` instance or dict with compatible properties visible Determines whether or not this trace is visible. If "legendonly", the trace is not drawn, but can appear as a legend item (provided that the legend itself is visible). row : 'all', int or None (default) Subplot row index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all rows in the specified column(s). col : 'all', int or None (default) Subplot col index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all columns in the specified row(s). Returns ------- FigureWidget """ from plotly.graph_objs import Scatterpolargl new_trace = Scatterpolargl( connectgaps=connectgaps, customdata=customdata, customdatasrc=customdatasrc, dr=dr, dtheta=dtheta, fill=fill, fillcolor=fillcolor, hoverinfo=hoverinfo, hoverinfosrc=hoverinfosrc, hoverlabel=hoverlabel, hovertemplate=hovertemplate, hovertemplatesrc=hovertemplatesrc, hovertext=hovertext, hovertextsrc=hovertextsrc, ids=ids, idssrc=idssrc, legend=legend, legendgroup=legendgroup, legendgrouptitle=legendgrouptitle, legendrank=legendrank, legendwidth=legendwidth, line=line, marker=marker, meta=meta, metasrc=metasrc, mode=mode, name=name, opacity=opacity, r=r, r0=r0, rsrc=rsrc, selected=selected, selectedpoints=selectedpoints, showlegend=showlegend, stream=stream, subplot=subplot, text=text, textfont=textfont, textposition=textposition, textpositionsrc=textpositionsrc, textsrc=textsrc, texttemplate=texttemplate, texttemplatesrc=texttemplatesrc, theta=theta, theta0=theta0, thetasrc=thetasrc, thetaunit=thetaunit, uid=uid, uirevision=uirevision, unselected=unselected, visible=visible, **kwargs, ) return self.add_trace(new_trace, row=row, col=col) def add_scattersmith( self, cliponaxis=None, connectgaps=None, customdata=None, customdatasrc=None, fill=None, fillcolor=None, hoverinfo=None, hoverinfosrc=None, hoverlabel=None, hoveron=None, hovertemplate=None, hovertemplatesrc=None, hovertext=None, hovertextsrc=None, ids=None, idssrc=None, imag=None, imagsrc=None, legend=None, legendgroup=None, legendgrouptitle=None, legendrank=None, legendwidth=None, line=None, marker=None, meta=None, metasrc=None, mode=None, name=None, opacity=None, real=None, realsrc=None, selected=None, selectedpoints=None, showlegend=None, stream=None, subplot=None, text=None, textfont=None, textposition=None, textpositionsrc=None, textsrc=None, texttemplate=None, texttemplatesrc=None, uid=None, uirevision=None, unselected=None, visible=None, row=None, col=None, **kwargs, ) -> "FigureWidget": """ Add a new Scattersmith trace The scattersmith trace type encompasses line charts, scatter charts, text charts, and bubble charts in smith coordinates. The data visualized as scatter point or lines is set in `real` and `imag` (imaginary) coordinates Text (appearing either on the chart or on hover only) is via `text`. Bubble charts are achieved by setting `marker.size` and/or `marker.color` to numerical arrays. Parameters ---------- cliponaxis Determines whether or not markers and text nodes are clipped about the subplot axes. To show markers and text nodes above axis lines and tick labels, make sure to set `xaxis.layer` and `yaxis.layer` to *below traces*. connectgaps Determines whether or not gaps (i.e. {nan} or missing values) in the provided data arrays are connected. customdata Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, "scatter" traces also appends customdata items in the markers DOM elements customdatasrc Sets the source reference on Chart Studio Cloud for `customdata`. fill Sets the area to fill with a solid color. Use with `fillcolor` if not "none". scattersmith has a subset of the options available to scatter. "toself" connects the endpoints of the trace (or each segment of the trace if it has gaps) into a closed shape. "tonext" fills the space between two traces if one completely encloses the other (eg consecutive contour lines), and behaves like "toself" if there is no trace before it. "tonext" should not be used if one trace does not enclose the other. fillcolor Sets the fill color. Defaults to a half-transparent variant of the line color, marker color, or marker line color, whichever is available. hoverinfo Determines which trace information appear on hover. If `none` or `skip` are set, no information is displayed upon hovering. But, if `none` is set, click and hover events are still fired. hoverinfosrc Sets the source reference on Chart Studio Cloud for `hoverinfo`. hoverlabel :class:`plotly.graph_objects.scattersmith.Hoverlabel` instance or dict with compatible properties hoveron Do the hover effects highlight individual points (markers or line points) or do they highlight filled regions? If the fill is "toself" or "tonext" and there are no markers or text, then the default is "fills", otherwise it is "points". hovertemplate Template string used for rendering the information that appear on hover box. Note that this will override `hoverinfo`. Variables are inserted using %{variable}, for example "y: %{y}" as well as %{xother}, {%_xother}, {%_xother_}, {%xother_}. When showing info for several points, "xother" will be added to those with different x positions from the first point. An underscore before or after "(x|y)other" will add a space on that side, only when this field is shown. Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. The variables available in `hovertemplate` are the ones emitted as event data described at this link https://plotly.com/javascript/plotlyjs-events/#event- data. Additionally, every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. Anything contained in tag `` is displayed in the secondary box, for example "{fullData.name}". To hide the secondary box completely, use an empty tag ``. hovertemplatesrc Sets the source reference on Chart Studio Cloud for `hovertemplate`. hovertext Sets hover text elements associated with each (x,y) pair. If a single string, the same string appears over all the data points. If an array of string, the items are mapped in order to the this trace's (x,y) coordinates. To be seen, trace `hoverinfo` must contain a "text" flag. hovertextsrc Sets the source reference on Chart Studio Cloud for `hovertext`. ids Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type. idssrc Sets the source reference on Chart Studio Cloud for `ids`. imag Sets the imaginary component of the data, in units of normalized impedance such that real=1, imag=0 is the center of the chart. imagsrc Sets the source reference on Chart Studio Cloud for `imag`. legend Sets the reference to a legend to show this trace in. References to these legends are "legend", "legend2", "legend3", etc. Settings for these legends are set in the layout, under `layout.legend`, `layout.legend2`, etc. legendgroup Sets the legend group for this trace. Traces and shapes part of the same legend group hide/show at the same time when toggling legend items. legendgrouptitle :class:`plotly.graph_objects.scattersmith.Legendgroupti tle` instance or dict with compatible properties legendrank Sets the legend rank for this trace. Items and groups with smaller ranks are presented on top/left side while with "reversed" `legend.traceorder` they are on bottom/right side. The default legendrank is 1000, so that you can use ranks less than 1000 to place certain items before all unranked items, and ranks greater than 1000 to go after all unranked items. When having unranked or equal rank items shapes would be displayed after traces i.e. according to their order in data and layout. legendwidth Sets the width (in px or fraction) of the legend for this trace. line :class:`plotly.graph_objects.scattersmith.Line` instance or dict with compatible properties marker :class:`plotly.graph_objects.scattersmith.Marker` instance or dict with compatible properties meta Assigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace `name`, graph, axis and colorbar `title.text`, annotation `text` `rangeselector`, `updatemenues` and `sliders` `label` text all support `meta`. To access the trace `meta` values in an attribute in the same trace, simply use `%{meta[i]}` where `i` is the index or key of the `meta` item in question. To access trace `meta` in layout attributes, use `%{data[n[.meta[i]}` where `i` is the index or key of the `meta` and `n` is the trace index. metasrc Sets the source reference on Chart Studio Cloud for `meta`. mode Determines the drawing mode for this scatter trace. If the provided `mode` includes "text" then the `text` elements appear at the coordinates. Otherwise, the `text` elements appear on hover. If there are less than 20 points and the trace is not stacked then the default is "lines+markers". Otherwise, "lines". name Sets the trace name. The trace name appears as the legend item and on hover. opacity Sets the opacity of the trace. real Sets the real component of the data, in units of normalized impedance such that real=1, imag=0 is the center of the chart. realsrc Sets the source reference on Chart Studio Cloud for `real`. selected :class:`plotly.graph_objects.scattersmith.Selected` instance or dict with compatible properties selectedpoints Array containing integer indices of selected points. Has an effect only for traces that support selections. Note that an empty array means an empty selection where the `unselected` are turned on for all points, whereas, any other non-array values means no selection all where the `selected` and `unselected` styles have no effect. showlegend Determines whether or not an item corresponding to this trace is shown in the legend. stream :class:`plotly.graph_objects.scattersmith.Stream` instance or dict with compatible properties subplot Sets a reference between this trace's data coordinates and a smith subplot. If "smith" (the default value), the data refer to `layout.smith`. If "smith2", the data refer to `layout.smith2`, and so on. text Sets text elements associated with each (x,y) pair. If a single string, the same string appears over all the data points. If an array of string, the items are mapped in order to the this trace's (x,y) coordinates. If trace `hoverinfo` contains a "text" flag and "hovertext" is not set, these elements will be seen in the hover labels. textfont Sets the text font. textposition Sets the positions of the `text` elements with respects to the (x,y) coordinates. textpositionsrc Sets the source reference on Chart Studio Cloud for `textposition`. textsrc Sets the source reference on Chart Studio Cloud for `text`. texttemplate Template string used for rendering the information text that appear on points. Note that this will override `textinfo`. Variables are inserted using %{variable}, for example "y: %{y}". Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. Every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. Finally, the template string has access to variables `real`, `imag` and `text`. texttemplatesrc Sets the source reference on Chart Studio Cloud for `texttemplate`. uid Assign an id to this trace, Use this to provide object constancy between traces during animations and transitions. uirevision Controls persistence of some user-driven changes to the trace: `constraintrange` in `parcoords` traces, as well as some `editable: true` modifications such as `name` and `colorbar.title`. Defaults to `layout.uirevision`. Note that other user-driven trace attribute changes are controlled by `layout` attributes: `trace.visible` is controlled by `layout.legend.uirevision`, `selectedpoints` is controlled by `layout.selectionrevision`, and `colorbar.(x|y)` (accessible with `config: {editable: true}`) is controlled by `layout.editrevision`. Trace changes are tracked by `uid`, which only falls back on trace index if no `uid` is provided. So if your app can add/remove traces before the end of the `data` array, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace a `uid` that stays with it as it moves. unselected :class:`plotly.graph_objects.scattersmith.Unselected` instance or dict with compatible properties visible Determines whether or not this trace is visible. If "legendonly", the trace is not drawn, but can appear as a legend item (provided that the legend itself is visible). row : 'all', int or None (default) Subplot row index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all rows in the specified column(s). col : 'all', int or None (default) Subplot col index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all columns in the specified row(s). Returns ------- FigureWidget """ from plotly.graph_objs import Scattersmith new_trace = Scattersmith( cliponaxis=cliponaxis, connectgaps=connectgaps, customdata=customdata, customdatasrc=customdatasrc, fill=fill, fillcolor=fillcolor, hoverinfo=hoverinfo, hoverinfosrc=hoverinfosrc, hoverlabel=hoverlabel, hoveron=hoveron, hovertemplate=hovertemplate, hovertemplatesrc=hovertemplatesrc, hovertext=hovertext, hovertextsrc=hovertextsrc, ids=ids, idssrc=idssrc, imag=imag, imagsrc=imagsrc, legend=legend, legendgroup=legendgroup, legendgrouptitle=legendgrouptitle, legendrank=legendrank, legendwidth=legendwidth, line=line, marker=marker, meta=meta, metasrc=metasrc, mode=mode, name=name, opacity=opacity, real=real, realsrc=realsrc, selected=selected, selectedpoints=selectedpoints, showlegend=showlegend, stream=stream, subplot=subplot, text=text, textfont=textfont, textposition=textposition, textpositionsrc=textpositionsrc, textsrc=textsrc, texttemplate=texttemplate, texttemplatesrc=texttemplatesrc, uid=uid, uirevision=uirevision, unselected=unselected, visible=visible, **kwargs, ) return self.add_trace(new_trace, row=row, col=col) def add_scatterternary( self, a=None, asrc=None, b=None, bsrc=None, c=None, cliponaxis=None, connectgaps=None, csrc=None, customdata=None, customdatasrc=None, fill=None, fillcolor=None, hoverinfo=None, hoverinfosrc=None, hoverlabel=None, hoveron=None, hovertemplate=None, hovertemplatesrc=None, hovertext=None, hovertextsrc=None, ids=None, idssrc=None, legend=None, legendgroup=None, legendgrouptitle=None, legendrank=None, legendwidth=None, line=None, marker=None, meta=None, metasrc=None, mode=None, name=None, opacity=None, selected=None, selectedpoints=None, showlegend=None, stream=None, subplot=None, sum=None, text=None, textfont=None, textposition=None, textpositionsrc=None, textsrc=None, texttemplate=None, texttemplatesrc=None, uid=None, uirevision=None, unselected=None, visible=None, row=None, col=None, **kwargs, ) -> "FigureWidget": """ Add a new Scatterternary trace Provides similar functionality to the "scatter" type but on a ternary phase diagram. The data is provided by at least two arrays out of `a`, `b`, `c` triplets. Parameters ---------- a Sets the quantity of component `a` in each data point. If `a`, `b`, and `c` are all provided, they need not be normalized, only the relative values matter. If only two arrays are provided they must be normalized to match `ternary.sum`. asrc Sets the source reference on Chart Studio Cloud for `a`. b Sets the quantity of component `a` in each data point. If `a`, `b`, and `c` are all provided, they need not be normalized, only the relative values matter. If only two arrays are provided they must be normalized to match `ternary.sum`. bsrc Sets the source reference on Chart Studio Cloud for `b`. c Sets the quantity of component `a` in each data point. If `a`, `b`, and `c` are all provided, they need not be normalized, only the relative values matter. If only two arrays are provided they must be normalized to match `ternary.sum`. cliponaxis Determines whether or not markers and text nodes are clipped about the subplot axes. To show markers and text nodes above axis lines and tick labels, make sure to set `xaxis.layer` and `yaxis.layer` to *below traces*. connectgaps Determines whether or not gaps (i.e. {nan} or missing values) in the provided data arrays are connected. csrc Sets the source reference on Chart Studio Cloud for `c`. customdata Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, "scatter" traces also appends customdata items in the markers DOM elements customdatasrc Sets the source reference on Chart Studio Cloud for `customdata`. fill Sets the area to fill with a solid color. Use with `fillcolor` if not "none". scatterternary has a subset of the options available to scatter. "toself" connects the endpoints of the trace (or each segment of the trace if it has gaps) into a closed shape. "tonext" fills the space between two traces if one completely encloses the other (eg consecutive contour lines), and behaves like "toself" if there is no trace before it. "tonext" should not be used if one trace does not enclose the other. fillcolor Sets the fill color. Defaults to a half-transparent variant of the line color, marker color, or marker line color, whichever is available. hoverinfo Determines which trace information appear on hover. If `none` or `skip` are set, no information is displayed upon hovering. But, if `none` is set, click and hover events are still fired. hoverinfosrc Sets the source reference on Chart Studio Cloud for `hoverinfo`. hoverlabel :class:`plotly.graph_objects.scatterternary.Hoverlabel` instance or dict with compatible properties hoveron Do the hover effects highlight individual points (markers or line points) or do they highlight filled regions? If the fill is "toself" or "tonext" and there are no markers or text, then the default is "fills", otherwise it is "points". hovertemplate Template string used for rendering the information that appear on hover box. Note that this will override `hoverinfo`. Variables are inserted using %{variable}, for example "y: %{y}" as well as %{xother}, {%_xother}, {%_xother_}, {%xother_}. When showing info for several points, "xother" will be added to those with different x positions from the first point. An underscore before or after "(x|y)other" will add a space on that side, only when this field is shown. Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. The variables available in `hovertemplate` are the ones emitted as event data described at this link https://plotly.com/javascript/plotlyjs-events/#event- data. Additionally, every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. Anything contained in tag `` is displayed in the secondary box, for example "{fullData.name}". To hide the secondary box completely, use an empty tag ``. hovertemplatesrc Sets the source reference on Chart Studio Cloud for `hovertemplate`. hovertext Sets hover text elements associated with each (a,b,c) point. If a single string, the same string appears over all the data points. If an array of strings, the items are mapped in order to the the data points in (a,b,c). To be seen, trace `hoverinfo` must contain a "text" flag. hovertextsrc Sets the source reference on Chart Studio Cloud for `hovertext`. ids Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type. idssrc Sets the source reference on Chart Studio Cloud for `ids`. legend Sets the reference to a legend to show this trace in. References to these legends are "legend", "legend2", "legend3", etc. Settings for these legends are set in the layout, under `layout.legend`, `layout.legend2`, etc. legendgroup Sets the legend group for this trace. Traces and shapes part of the same legend group hide/show at the same time when toggling legend items. legendgrouptitle :class:`plotly.graph_objects.scatterternary.Legendgroup title` instance or dict with compatible properties legendrank Sets the legend rank for this trace. Items and groups with smaller ranks are presented on top/left side while with "reversed" `legend.traceorder` they are on bottom/right side. The default legendrank is 1000, so that you can use ranks less than 1000 to place certain items before all unranked items, and ranks greater than 1000 to go after all unranked items. When having unranked or equal rank items shapes would be displayed after traces i.e. according to their order in data and layout. legendwidth Sets the width (in px or fraction) of the legend for this trace. line :class:`plotly.graph_objects.scatterternary.Line` instance or dict with compatible properties marker :class:`plotly.graph_objects.scatterternary.Marker` instance or dict with compatible properties meta Assigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace `name`, graph, axis and colorbar `title.text`, annotation `text` `rangeselector`, `updatemenues` and `sliders` `label` text all support `meta`. To access the trace `meta` values in an attribute in the same trace, simply use `%{meta[i]}` where `i` is the index or key of the `meta` item in question. To access trace `meta` in layout attributes, use `%{data[n[.meta[i]}` where `i` is the index or key of the `meta` and `n` is the trace index. metasrc Sets the source reference on Chart Studio Cloud for `meta`. mode Determines the drawing mode for this scatter trace. If the provided `mode` includes "text" then the `text` elements appear at the coordinates. Otherwise, the `text` elements appear on hover. If there are less than 20 points and the trace is not stacked then the default is "lines+markers". Otherwise, "lines". name Sets the trace name. The trace name appears as the legend item and on hover. opacity Sets the opacity of the trace. selected :class:`plotly.graph_objects.scatterternary.Selected` instance or dict with compatible properties selectedpoints Array containing integer indices of selected points. Has an effect only for traces that support selections. Note that an empty array means an empty selection where the `unselected` are turned on for all points, whereas, any other non-array values means no selection all where the `selected` and `unselected` styles have no effect. showlegend Determines whether or not an item corresponding to this trace is shown in the legend. stream :class:`plotly.graph_objects.scatterternary.Stream` instance or dict with compatible properties subplot Sets a reference between this trace's data coordinates and a ternary subplot. If "ternary" (the default value), the data refer to `layout.ternary`. If "ternary2", the data refer to `layout.ternary2`, and so on. sum The number each triplet should sum to, if only two of `a`, `b`, and `c` are provided. This overrides `ternary.sum` to normalize this specific trace, but does not affect the values displayed on the axes. 0 (or missing) means to use ternary.sum text Sets text elements associated with each (a,b,c) point. If a single string, the same string appears over all the data points. If an array of strings, the items are mapped in order to the the data points in (a,b,c). If trace `hoverinfo` contains a "text" flag and "hovertext" is not set, these elements will be seen in the hover labels. textfont Sets the text font. textposition Sets the positions of the `text` elements with respects to the (x,y) coordinates. textpositionsrc Sets the source reference on Chart Studio Cloud for `textposition`. textsrc Sets the source reference on Chart Studio Cloud for `text`. texttemplate Template string used for rendering the information text that appear on points. Note that this will override `textinfo`. Variables are inserted using %{variable}, for example "y: %{y}". Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. Every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. Finally, the template string has access to variables `a`, `b`, `c` and `text`. texttemplatesrc Sets the source reference on Chart Studio Cloud for `texttemplate`. uid Assign an id to this trace, Use this to provide object constancy between traces during animations and transitions. uirevision Controls persistence of some user-driven changes to the trace: `constraintrange` in `parcoords` traces, as well as some `editable: true` modifications such as `name` and `colorbar.title`. Defaults to `layout.uirevision`. Note that other user-driven trace attribute changes are controlled by `layout` attributes: `trace.visible` is controlled by `layout.legend.uirevision`, `selectedpoints` is controlled by `layout.selectionrevision`, and `colorbar.(x|y)` (accessible with `config: {editable: true}`) is controlled by `layout.editrevision`. Trace changes are tracked by `uid`, which only falls back on trace index if no `uid` is provided. So if your app can add/remove traces before the end of the `data` array, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace a `uid` that stays with it as it moves. unselected :class:`plotly.graph_objects.scatterternary.Unselected` instance or dict with compatible properties visible Determines whether or not this trace is visible. If "legendonly", the trace is not drawn, but can appear as a legend item (provided that the legend itself is visible). row : 'all', int or None (default) Subplot row index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all rows in the specified column(s). col : 'all', int or None (default) Subplot col index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all columns in the specified row(s). Returns ------- FigureWidget """ from plotly.graph_objs import Scatterternary new_trace = Scatterternary( a=a, asrc=asrc, b=b, bsrc=bsrc, c=c, cliponaxis=cliponaxis, connectgaps=connectgaps, csrc=csrc, customdata=customdata, customdatasrc=customdatasrc, fill=fill, fillcolor=fillcolor, hoverinfo=hoverinfo, hoverinfosrc=hoverinfosrc, hoverlabel=hoverlabel, hoveron=hoveron, hovertemplate=hovertemplate, hovertemplatesrc=hovertemplatesrc, hovertext=hovertext, hovertextsrc=hovertextsrc, ids=ids, idssrc=idssrc, legend=legend, legendgroup=legendgroup, legendgrouptitle=legendgrouptitle, legendrank=legendrank, legendwidth=legendwidth, line=line, marker=marker, meta=meta, metasrc=metasrc, mode=mode, name=name, opacity=opacity, selected=selected, selectedpoints=selectedpoints, showlegend=showlegend, stream=stream, subplot=subplot, sum=sum, text=text, textfont=textfont, textposition=textposition, textpositionsrc=textpositionsrc, textsrc=textsrc, texttemplate=texttemplate, texttemplatesrc=texttemplatesrc, uid=uid, uirevision=uirevision, unselected=unselected, visible=visible, **kwargs, ) return self.add_trace(new_trace, row=row, col=col) def add_splom( self, customdata=None, customdatasrc=None, diagonal=None, dimensions=None, dimensiondefaults=None, hoverinfo=None, hoverinfosrc=None, hoverlabel=None, hovertemplate=None, hovertemplatesrc=None, hovertext=None, hovertextsrc=None, ids=None, idssrc=None, legend=None, legendgroup=None, legendgrouptitle=None, legendrank=None, legendwidth=None, marker=None, meta=None, metasrc=None, name=None, opacity=None, selected=None, selectedpoints=None, showlegend=None, showlowerhalf=None, showupperhalf=None, stream=None, text=None, textsrc=None, uid=None, uirevision=None, unselected=None, visible=None, xaxes=None, xhoverformat=None, yaxes=None, yhoverformat=None, row=None, col=None, **kwargs, ) -> "FigureWidget": """ Add a new Splom trace Splom traces generate scatter plot matrix visualizations. Each splom `dimensions` items correspond to a generated axis. Values for each of those dimensions are set in `dimensions[i].values`. Splom traces support all `scattergl` marker style attributes. Specify `layout.grid` attributes and/or layout x-axis and y-axis attributes for more control over the axis positioning and style. Parameters ---------- customdata Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, "scatter" traces also appends customdata items in the markers DOM elements customdatasrc Sets the source reference on Chart Studio Cloud for `customdata`. diagonal :class:`plotly.graph_objects.splom.Diagonal` instance or dict with compatible properties dimensions A tuple of :class:`plotly.graph_objects.splom.Dimension` instances or dicts with compatible properties dimensiondefaults When used in a template (as layout.template.data.splom.dimensiondefaults), sets the default property values to use for elements of splom.dimensions hoverinfo Determines which trace information appear on hover. If `none` or `skip` are set, no information is displayed upon hovering. But, if `none` is set, click and hover events are still fired. hoverinfosrc Sets the source reference on Chart Studio Cloud for `hoverinfo`. hoverlabel :class:`plotly.graph_objects.splom.Hoverlabel` instance or dict with compatible properties hovertemplate Template string used for rendering the information that appear on hover box. Note that this will override `hoverinfo`. Variables are inserted using %{variable}, for example "y: %{y}" as well as %{xother}, {%_xother}, {%_xother_}, {%xother_}. When showing info for several points, "xother" will be added to those with different x positions from the first point. An underscore before or after "(x|y)other" will add a space on that side, only when this field is shown. Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. The variables available in `hovertemplate` are the ones emitted as event data described at this link https://plotly.com/javascript/plotlyjs-events/#event- data. Additionally, every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. Anything contained in tag `` is displayed in the secondary box, for example "{fullData.name}". To hide the secondary box completely, use an empty tag ``. hovertemplatesrc Sets the source reference on Chart Studio Cloud for `hovertemplate`. hovertext Same as `text`. hovertextsrc Sets the source reference on Chart Studio Cloud for `hovertext`. ids Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type. idssrc Sets the source reference on Chart Studio Cloud for `ids`. legend Sets the reference to a legend to show this trace in. References to these legends are "legend", "legend2", "legend3", etc. Settings for these legends are set in the layout, under `layout.legend`, `layout.legend2`, etc. legendgroup Sets the legend group for this trace. Traces and shapes part of the same legend group hide/show at the same time when toggling legend items. legendgrouptitle :class:`plotly.graph_objects.splom.Legendgrouptitle` instance or dict with compatible properties legendrank Sets the legend rank for this trace. Items and groups with smaller ranks are presented on top/left side while with "reversed" `legend.traceorder` they are on bottom/right side. The default legendrank is 1000, so that you can use ranks less than 1000 to place certain items before all unranked items, and ranks greater than 1000 to go after all unranked items. When having unranked or equal rank items shapes would be displayed after traces i.e. according to their order in data and layout. legendwidth Sets the width (in px or fraction) of the legend for this trace. marker :class:`plotly.graph_objects.splom.Marker` instance or dict with compatible properties meta Assigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace `name`, graph, axis and colorbar `title.text`, annotation `text` `rangeselector`, `updatemenues` and `sliders` `label` text all support `meta`. To access the trace `meta` values in an attribute in the same trace, simply use `%{meta[i]}` where `i` is the index or key of the `meta` item in question. To access trace `meta` in layout attributes, use `%{data[n[.meta[i]}` where `i` is the index or key of the `meta` and `n` is the trace index. metasrc Sets the source reference on Chart Studio Cloud for `meta`. name Sets the trace name. The trace name appears as the legend item and on hover. opacity Sets the opacity of the trace. selected :class:`plotly.graph_objects.splom.Selected` instance or dict with compatible properties selectedpoints Array containing integer indices of selected points. Has an effect only for traces that support selections. Note that an empty array means an empty selection where the `unselected` are turned on for all points, whereas, any other non-array values means no selection all where the `selected` and `unselected` styles have no effect. showlegend Determines whether or not an item corresponding to this trace is shown in the legend. showlowerhalf Determines whether or not subplots on the lower half from the diagonal are displayed. showupperhalf Determines whether or not subplots on the upper half from the diagonal are displayed. stream :class:`plotly.graph_objects.splom.Stream` instance or dict with compatible properties text Sets text elements associated with each (x,y) pair to appear on hover. If a single string, the same string appears over all the data points. If an array of string, the items are mapped in order to the this trace's (x,y) coordinates. textsrc Sets the source reference on Chart Studio Cloud for `text`. uid Assign an id to this trace, Use this to provide object constancy between traces during animations and transitions. uirevision Controls persistence of some user-driven changes to the trace: `constraintrange` in `parcoords` traces, as well as some `editable: true` modifications such as `name` and `colorbar.title`. Defaults to `layout.uirevision`. Note that other user-driven trace attribute changes are controlled by `layout` attributes: `trace.visible` is controlled by `layout.legend.uirevision`, `selectedpoints` is controlled by `layout.selectionrevision`, and `colorbar.(x|y)` (accessible with `config: {editable: true}`) is controlled by `layout.editrevision`. Trace changes are tracked by `uid`, which only falls back on trace index if no `uid` is provided. So if your app can add/remove traces before the end of the `data` array, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace a `uid` that stays with it as it moves. unselected :class:`plotly.graph_objects.splom.Unselected` instance or dict with compatible properties visible Determines whether or not this trace is visible. If "legendonly", the trace is not drawn, but can appear as a legend item (provided that the legend itself is visible). xaxes Sets the list of x axes corresponding to dimensions of this splom trace. By default, a splom will match the first N xaxes where N is the number of input dimensions. Note that, in case where `diagonal.visible` is false and `showupperhalf` or `showlowerhalf` is false, this splom trace will generate one less x-axis and one less y-axis. xhoverformat Sets the hover text formatting rulefor `x` using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-format/tree/v1.4.5#d3-format. And for dates see: https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format. We add two items to d3's date formatter: "%h" for half of the year as a decimal number as well as "%{n}f" for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat "%H~%M~%S.%2f" would display *09~15~23.46*By default the values are formatted using `xaxis.hoverformat`. yaxes Sets the list of y axes corresponding to dimensions of this splom trace. By default, a splom will match the first N yaxes where N is the number of input dimensions. Note that, in case where `diagonal.visible` is false and `showupperhalf` or `showlowerhalf` is false, this splom trace will generate one less x-axis and one less y-axis. yhoverformat Sets the hover text formatting rulefor `y` using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-format/tree/v1.4.5#d3-format. And for dates see: https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format. We add two items to d3's date formatter: "%h" for half of the year as a decimal number as well as "%{n}f" for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat "%H~%M~%S.%2f" would display *09~15~23.46*By default the values are formatted using `yaxis.hoverformat`. row : 'all', int or None (default) Subplot row index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all rows in the specified column(s). col : 'all', int or None (default) Subplot col index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all columns in the specified row(s). Returns ------- FigureWidget """ from plotly.graph_objs import Splom new_trace = Splom( customdata=customdata, customdatasrc=customdatasrc, diagonal=diagonal, dimensions=dimensions, dimensiondefaults=dimensiondefaults, hoverinfo=hoverinfo, hoverinfosrc=hoverinfosrc, hoverlabel=hoverlabel, hovertemplate=hovertemplate, hovertemplatesrc=hovertemplatesrc, hovertext=hovertext, hovertextsrc=hovertextsrc, ids=ids, idssrc=idssrc, legend=legend, legendgroup=legendgroup, legendgrouptitle=legendgrouptitle, legendrank=legendrank, legendwidth=legendwidth, marker=marker, meta=meta, metasrc=metasrc, name=name, opacity=opacity, selected=selected, selectedpoints=selectedpoints, showlegend=showlegend, showlowerhalf=showlowerhalf, showupperhalf=showupperhalf, stream=stream, text=text, textsrc=textsrc, uid=uid, uirevision=uirevision, unselected=unselected, visible=visible, xaxes=xaxes, xhoverformat=xhoverformat, yaxes=yaxes, yhoverformat=yhoverformat, **kwargs, ) return self.add_trace(new_trace, row=row, col=col) def add_streamtube( self, autocolorscale=None, cauto=None, cmax=None, cmid=None, cmin=None, coloraxis=None, colorbar=None, colorscale=None, customdata=None, customdatasrc=None, hoverinfo=None, hoverinfosrc=None, hoverlabel=None, hovertemplate=None, hovertemplatesrc=None, hovertext=None, ids=None, idssrc=None, legend=None, legendgroup=None, legendgrouptitle=None, legendrank=None, legendwidth=None, lighting=None, lightposition=None, maxdisplayed=None, meta=None, metasrc=None, name=None, opacity=None, reversescale=None, scene=None, showlegend=None, showscale=None, sizeref=None, starts=None, stream=None, text=None, u=None, uhoverformat=None, uid=None, uirevision=None, usrc=None, v=None, vhoverformat=None, visible=None, vsrc=None, w=None, whoverformat=None, wsrc=None, x=None, xhoverformat=None, xsrc=None, y=None, yhoverformat=None, ysrc=None, z=None, zhoverformat=None, zsrc=None, row=None, col=None, **kwargs, ) -> "FigureWidget": """ Add a new Streamtube trace Use a streamtube trace to visualize flow in a vector field. Specify a vector field using 6 1D arrays of equal length, 3 position arrays `x`, `y` and `z` and 3 vector component arrays `u`, `v`, and `w`. By default, the tubes' starting positions will be cut from the vector field's x-z plane at its minimum y value. To specify your own starting position, use attributes `starts.x`, `starts.y` and `starts.z`. The color is encoded by the norm of (u, v, w), and the local radius by the divergence of (u, v, w). Parameters ---------- autocolorscale Determines whether the colorscale is a default palette (`autocolorscale: true`) or the palette determined by `colorscale`. In case `colorscale` is unspecified or `autocolorscale` is true, the default palette will be chosen according to whether numbers in the `color` array are all positive, all negative or mixed. cauto Determines whether or not the color domain is computed with respect to the input data (here u/v/w norm) or the bounds set in `cmin` and `cmax` Defaults to `false` when `cmin` and `cmax` are set by the user. cmax Sets the upper bound of the color domain. Value should have the same units as u/v/w norm and if set, `cmin` must be set as well. cmid Sets the mid-point of the color domain by scaling `cmin` and/or `cmax` to be equidistant to this point. Value should have the same units as u/v/w norm. Has no effect when `cauto` is `false`. cmin Sets the lower bound of the color domain. Value should have the same units as u/v/w norm and if set, `cmax` must be set as well. coloraxis Sets a reference to a shared color axis. References to these shared color axes are "coloraxis", "coloraxis2", "coloraxis3", etc. Settings for these shared color axes are set in the layout, under `layout.coloraxis`, `layout.coloraxis2`, etc. Note that multiple color scales can be linked to the same color axis. colorbar :class:`plotly.graph_objects.streamtube.ColorBar` instance or dict with compatible properties colorscale Sets the colorscale. The colorscale must be an array containing arrays mapping a normalized value to an rgb, rgba, hex, hsl, hsv, or named color string. At minimum, a mapping for the lowest (0) and highest (1) values are required. For example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the bounds of the colorscale in color space, use `cmin` and `cmax`. Alternatively, `colorscale` may be a palette name string of the following list: Blackbody,Bluered,Blues,C ividis,Earth,Electric,Greens,Greys,Hot,Jet,Picnic,Portl and,Rainbow,RdBu,Reds,Viridis,YlGnBu,YlOrRd. customdata Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, "scatter" traces also appends customdata items in the markers DOM elements customdatasrc Sets the source reference on Chart Studio Cloud for `customdata`. hoverinfo Determines which trace information appear on hover. If `none` or `skip` are set, no information is displayed upon hovering. But, if `none` is set, click and hover events are still fired. hoverinfosrc Sets the source reference on Chart Studio Cloud for `hoverinfo`. hoverlabel :class:`plotly.graph_objects.streamtube.Hoverlabel` instance or dict with compatible properties hovertemplate Template string used for rendering the information that appear on hover box. Note that this will override `hoverinfo`. Variables are inserted using %{variable}, for example "y: %{y}" as well as %{xother}, {%_xother}, {%_xother_}, {%xother_}. When showing info for several points, "xother" will be added to those with different x positions from the first point. An underscore before or after "(x|y)other" will add a space on that side, only when this field is shown. Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. The variables available in `hovertemplate` are the ones emitted as event data described at this link https://plotly.com/javascript/plotlyjs-events/#event- data. Additionally, every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. Finally, the template string has access to variables `tubex`, `tubey`, `tubez`, `tubeu`, `tubev`, `tubew`, `norm` and `divergence`. Anything contained in tag `` is displayed in the secondary box, for example "{fullData.name}". To hide the secondary box completely, use an empty tag ``. hovertemplatesrc Sets the source reference on Chart Studio Cloud for `hovertemplate`. hovertext Same as `text`. ids Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type. idssrc Sets the source reference on Chart Studio Cloud for `ids`. legend Sets the reference to a legend to show this trace in. References to these legends are "legend", "legend2", "legend3", etc. Settings for these legends are set in the layout, under `layout.legend`, `layout.legend2`, etc. legendgroup Sets the legend group for this trace. Traces and shapes part of the same legend group hide/show at the same time when toggling legend items. legendgrouptitle :class:`plotly.graph_objects.streamtube.Legendgrouptitl e` instance or dict with compatible properties legendrank Sets the legend rank for this trace. Items and groups with smaller ranks are presented on top/left side while with "reversed" `legend.traceorder` they are on bottom/right side. The default legendrank is 1000, so that you can use ranks less than 1000 to place certain items before all unranked items, and ranks greater than 1000 to go after all unranked items. When having unranked or equal rank items shapes would be displayed after traces i.e. according to their order in data and layout. legendwidth Sets the width (in px or fraction) of the legend for this trace. lighting :class:`plotly.graph_objects.streamtube.Lighting` instance or dict with compatible properties lightposition :class:`plotly.graph_objects.streamtube.Lightposition` instance or dict with compatible properties maxdisplayed The maximum number of displayed segments in a streamtube. meta Assigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace `name`, graph, axis and colorbar `title.text`, annotation `text` `rangeselector`, `updatemenues` and `sliders` `label` text all support `meta`. To access the trace `meta` values in an attribute in the same trace, simply use `%{meta[i]}` where `i` is the index or key of the `meta` item in question. To access trace `meta` in layout attributes, use `%{data[n[.meta[i]}` where `i` is the index or key of the `meta` and `n` is the trace index. metasrc Sets the source reference on Chart Studio Cloud for `meta`. name Sets the trace name. The trace name appears as the legend item and on hover. opacity Sets the opacity of the surface. Please note that in the case of using high `opacity` values for example a value greater than or equal to 0.5 on two surfaces (and 0.25 with four surfaces), an overlay of multiple transparent surfaces may not perfectly be sorted in depth by the webgl API. This behavior may be improved in the near future and is subject to change. reversescale Reverses the color mapping if true. If true, `cmin` will correspond to the last color in the array and `cmax` will correspond to the first color. scene Sets a reference between this trace's 3D coordinate system and a 3D scene. If "scene" (the default value), the (x,y,z) coordinates refer to `layout.scene`. If "scene2", the (x,y,z) coordinates refer to `layout.scene2`, and so on. showlegend Determines whether or not an item corresponding to this trace is shown in the legend. showscale Determines whether or not a colorbar is displayed for this trace. sizeref The scaling factor for the streamtubes. The default is 1, which avoids two max divergence tubes from touching at adjacent starting positions. starts :class:`plotly.graph_objects.streamtube.Starts` instance or dict with compatible properties stream :class:`plotly.graph_objects.streamtube.Stream` instance or dict with compatible properties text Sets a text element associated with this trace. If trace `hoverinfo` contains a "text" flag, this text element will be seen in all hover labels. Note that streamtube traces do not support array `text` values. u Sets the x components of the vector field. uhoverformat Sets the hover text formatting rulefor `u` using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d 3/d3-format/tree/v1.4.5#d3-format.By default the values are formatted using generic number format. uid Assign an id to this trace, Use this to provide object constancy between traces during animations and transitions. uirevision Controls persistence of some user-driven changes to the trace: `constraintrange` in `parcoords` traces, as well as some `editable: true` modifications such as `name` and `colorbar.title`. Defaults to `layout.uirevision`. Note that other user-driven trace attribute changes are controlled by `layout` attributes: `trace.visible` is controlled by `layout.legend.uirevision`, `selectedpoints` is controlled by `layout.selectionrevision`, and `colorbar.(x|y)` (accessible with `config: {editable: true}`) is controlled by `layout.editrevision`. Trace changes are tracked by `uid`, which only falls back on trace index if no `uid` is provided. So if your app can add/remove traces before the end of the `data` array, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace a `uid` that stays with it as it moves. usrc Sets the source reference on Chart Studio Cloud for `u`. v Sets the y components of the vector field. vhoverformat Sets the hover text formatting rulefor `v` using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d 3/d3-format/tree/v1.4.5#d3-format.By default the values are formatted using generic number format. visible Determines whether or not this trace is visible. If "legendonly", the trace is not drawn, but can appear as a legend item (provided that the legend itself is visible). vsrc Sets the source reference on Chart Studio Cloud for `v`. w Sets the z components of the vector field. whoverformat Sets the hover text formatting rulefor `w` using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d 3/d3-format/tree/v1.4.5#d3-format.By default the values are formatted using generic number format. wsrc Sets the source reference on Chart Studio Cloud for `w`. x Sets the x coordinates of the vector field. xhoverformat Sets the hover text formatting rulefor `x` using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-format/tree/v1.4.5#d3-format. And for dates see: https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format. We add two items to d3's date formatter: "%h" for half of the year as a decimal number as well as "%{n}f" for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat "%H~%M~%S.%2f" would display *09~15~23.46*By default the values are formatted using `xaxis.hoverformat`. xsrc Sets the source reference on Chart Studio Cloud for `x`. y Sets the y coordinates of the vector field. yhoverformat Sets the hover text formatting rulefor `y` using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-format/tree/v1.4.5#d3-format. And for dates see: https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format. We add two items to d3's date formatter: "%h" for half of the year as a decimal number as well as "%{n}f" for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat "%H~%M~%S.%2f" would display *09~15~23.46*By default the values are formatted using `yaxis.hoverformat`. ysrc Sets the source reference on Chart Studio Cloud for `y`. z Sets the z coordinates of the vector field. zhoverformat Sets the hover text formatting rulefor `z` using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-format/tree/v1.4.5#d3-format. And for dates see: https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format. We add two items to d3's date formatter: "%h" for half of the year as a decimal number as well as "%{n}f" for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat "%H~%M~%S.%2f" would display *09~15~23.46*By default the values are formatted using `zaxis.hoverformat`. zsrc Sets the source reference on Chart Studio Cloud for `z`. row : 'all', int or None (default) Subplot row index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all rows in the specified column(s). col : 'all', int or None (default) Subplot col index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all columns in the specified row(s). Returns ------- FigureWidget """ from plotly.graph_objs import Streamtube new_trace = Streamtube( autocolorscale=autocolorscale, cauto=cauto, cmax=cmax, cmid=cmid, cmin=cmin, coloraxis=coloraxis, colorbar=colorbar, colorscale=colorscale, customdata=customdata, customdatasrc=customdatasrc, hoverinfo=hoverinfo, hoverinfosrc=hoverinfosrc, hoverlabel=hoverlabel, hovertemplate=hovertemplate, hovertemplatesrc=hovertemplatesrc, hovertext=hovertext, ids=ids, idssrc=idssrc, legend=legend, legendgroup=legendgroup, legendgrouptitle=legendgrouptitle, legendrank=legendrank, legendwidth=legendwidth, lighting=lighting, lightposition=lightposition, maxdisplayed=maxdisplayed, meta=meta, metasrc=metasrc, name=name, opacity=opacity, reversescale=reversescale, scene=scene, showlegend=showlegend, showscale=showscale, sizeref=sizeref, starts=starts, stream=stream, text=text, u=u, uhoverformat=uhoverformat, uid=uid, uirevision=uirevision, usrc=usrc, v=v, vhoverformat=vhoverformat, visible=visible, vsrc=vsrc, w=w, whoverformat=whoverformat, wsrc=wsrc, x=x, xhoverformat=xhoverformat, xsrc=xsrc, y=y, yhoverformat=yhoverformat, ysrc=ysrc, z=z, zhoverformat=zhoverformat, zsrc=zsrc, **kwargs, ) return self.add_trace(new_trace, row=row, col=col) def add_sunburst( self, branchvalues=None, count=None, customdata=None, customdatasrc=None, domain=None, hoverinfo=None, hoverinfosrc=None, hoverlabel=None, hovertemplate=None, hovertemplatesrc=None, hovertext=None, hovertextsrc=None, ids=None, idssrc=None, insidetextfont=None, insidetextorientation=None, labels=None, labelssrc=None, leaf=None, legend=None, legendgrouptitle=None, legendrank=None, legendwidth=None, level=None, marker=None, maxdepth=None, meta=None, metasrc=None, name=None, opacity=None, outsidetextfont=None, parents=None, parentssrc=None, root=None, rotation=None, sort=None, stream=None, text=None, textfont=None, textinfo=None, textsrc=None, texttemplate=None, texttemplatesrc=None, uid=None, uirevision=None, values=None, valuessrc=None, visible=None, row=None, col=None, **kwargs, ) -> "FigureWidget": """ Add a new Sunburst trace Visualize hierarchal data spanning outward radially from root to leaves. The sunburst sectors are determined by the entries in "labels" or "ids" and in "parents". Parameters ---------- branchvalues Determines how the items in `values` are summed. When set to "total", items in `values` are taken to be value of all its descendants. When set to "remainder", items in `values` corresponding to the root and the branches sectors are taken to be the extra part not part of the sum of the values at their leaves. count Determines default for `values` when it is not provided, by inferring a 1 for each of the "leaves" and/or "branches", otherwise 0. customdata Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, "scatter" traces also appends customdata items in the markers DOM elements customdatasrc Sets the source reference on Chart Studio Cloud for `customdata`. domain :class:`plotly.graph_objects.sunburst.Domain` instance or dict with compatible properties hoverinfo Determines which trace information appear on hover. If `none` or `skip` are set, no information is displayed upon hovering. But, if `none` is set, click and hover events are still fired. hoverinfosrc Sets the source reference on Chart Studio Cloud for `hoverinfo`. hoverlabel :class:`plotly.graph_objects.sunburst.Hoverlabel` instance or dict with compatible properties hovertemplate Template string used for rendering the information that appear on hover box. Note that this will override `hoverinfo`. Variables are inserted using %{variable}, for example "y: %{y}" as well as %{xother}, {%_xother}, {%_xother_}, {%xother_}. When showing info for several points, "xother" will be added to those with different x positions from the first point. An underscore before or after "(x|y)other" will add a space on that side, only when this field is shown. Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. The variables available in `hovertemplate` are the ones emitted as event data described at this link https://plotly.com/javascript/plotlyjs-events/#event- data. Additionally, every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. Finally, the template string has access to variables `currentPath`, `root`, `entry`, `percentRoot`, `percentEntry` and `percentParent`. Anything contained in tag `` is displayed in the secondary box, for example "{fullData.name}". To hide the secondary box completely, use an empty tag ``. hovertemplatesrc Sets the source reference on Chart Studio Cloud for `hovertemplate`. hovertext Sets hover text elements associated with each sector. If a single string, the same string appears for all data points. If an array of string, the items are mapped in order of this trace's sectors. To be seen, trace `hoverinfo` must contain a "text" flag. hovertextsrc Sets the source reference on Chart Studio Cloud for `hovertext`. ids Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type. idssrc Sets the source reference on Chart Studio Cloud for `ids`. insidetextfont Sets the font used for `textinfo` lying inside the sector. insidetextorientation Controls the orientation of the text inside chart sectors. When set to "auto", text may be oriented in any direction in order to be as big as possible in the middle of a sector. The "horizontal" option orients text to be parallel with the bottom of the chart, and may make text smaller in order to achieve that goal. The "radial" option orients text along the radius of the sector. The "tangential" option orients text perpendicular to the radius of the sector. labels Sets the labels of each of the sectors. labelssrc Sets the source reference on Chart Studio Cloud for `labels`. leaf :class:`plotly.graph_objects.sunburst.Leaf` instance or dict with compatible properties legend Sets the reference to a legend to show this trace in. References to these legends are "legend", "legend2", "legend3", etc. Settings for these legends are set in the layout, under `layout.legend`, `layout.legend2`, etc. legendgrouptitle :class:`plotly.graph_objects.sunburst.Legendgrouptitle` instance or dict with compatible properties legendrank Sets the legend rank for this trace. Items and groups with smaller ranks are presented on top/left side while with "reversed" `legend.traceorder` they are on bottom/right side. The default legendrank is 1000, so that you can use ranks less than 1000 to place certain items before all unranked items, and ranks greater than 1000 to go after all unranked items. When having unranked or equal rank items shapes would be displayed after traces i.e. according to their order in data and layout. legendwidth Sets the width (in px or fraction) of the legend for this trace. level Sets the level from which this trace hierarchy is rendered. Set `level` to `''` to start from the root node in the hierarchy. Must be an "id" if `ids` is filled in, otherwise plotly attempts to find a matching item in `labels`. marker :class:`plotly.graph_objects.sunburst.Marker` instance or dict with compatible properties maxdepth Sets the number of rendered sectors from any given `level`. Set `maxdepth` to "-1" to render all the levels in the hierarchy. meta Assigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace `name`, graph, axis and colorbar `title.text`, annotation `text` `rangeselector`, `updatemenues` and `sliders` `label` text all support `meta`. To access the trace `meta` values in an attribute in the same trace, simply use `%{meta[i]}` where `i` is the index or key of the `meta` item in question. To access trace `meta` in layout attributes, use `%{data[n[.meta[i]}` where `i` is the index or key of the `meta` and `n` is the trace index. metasrc Sets the source reference on Chart Studio Cloud for `meta`. name Sets the trace name. The trace name appears as the legend item and on hover. opacity Sets the opacity of the trace. outsidetextfont Sets the font used for `textinfo` lying outside the sector. This option refers to the root of the hierarchy presented at the center of a sunburst graph. Please note that if a hierarchy has multiple root nodes, this option won't have any effect and `insidetextfont` would be used. parents Sets the parent sectors for each of the sectors. Empty string items '' are understood to reference the root node in the hierarchy. If `ids` is filled, `parents` items are understood to be "ids" themselves. When `ids` is not set, plotly attempts to find matching items in `labels`, but beware they must be unique. parentssrc Sets the source reference on Chart Studio Cloud for `parents`. root :class:`plotly.graph_objects.sunburst.Root` instance or dict with compatible properties rotation Rotates the whole diagram counterclockwise by some angle. By default the first slice starts at 3 o'clock. sort Determines whether or not the sectors are reordered from largest to smallest. stream :class:`plotly.graph_objects.sunburst.Stream` instance or dict with compatible properties text Sets text elements associated with each sector. If trace `textinfo` contains a "text" flag, these elements will be seen on the chart. If trace `hoverinfo` contains a "text" flag and "hovertext" is not set, these elements will be seen in the hover labels. textfont Sets the font used for `textinfo`. textinfo Determines which trace information appear on the graph. textsrc Sets the source reference on Chart Studio Cloud for `text`. texttemplate Template string used for rendering the information text that appear on points. Note that this will override `textinfo`. Variables are inserted using %{variable}, for example "y: %{y}". Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. Every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. Finally, the template string has access to variables `currentPath`, `root`, `entry`, `percentRoot`, `percentEntry`, `percentParent`, `label` and `value`. texttemplatesrc Sets the source reference on Chart Studio Cloud for `texttemplate`. uid Assign an id to this trace, Use this to provide object constancy between traces during animations and transitions. uirevision Controls persistence of some user-driven changes to the trace: `constraintrange` in `parcoords` traces, as well as some `editable: true` modifications such as `name` and `colorbar.title`. Defaults to `layout.uirevision`. Note that other user-driven trace attribute changes are controlled by `layout` attributes: `trace.visible` is controlled by `layout.legend.uirevision`, `selectedpoints` is controlled by `layout.selectionrevision`, and `colorbar.(x|y)` (accessible with `config: {editable: true}`) is controlled by `layout.editrevision`. Trace changes are tracked by `uid`, which only falls back on trace index if no `uid` is provided. So if your app can add/remove traces before the end of the `data` array, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace a `uid` that stays with it as it moves. values Sets the values associated with each of the sectors. Use with `branchvalues` to determine how the values are summed. valuessrc Sets the source reference on Chart Studio Cloud for `values`. visible Determines whether or not this trace is visible. If "legendonly", the trace is not drawn, but can appear as a legend item (provided that the legend itself is visible). row : 'all', int or None (default) Subplot row index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all rows in the specified column(s). col : 'all', int or None (default) Subplot col index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all columns in the specified row(s). Returns ------- FigureWidget """ from plotly.graph_objs import Sunburst new_trace = Sunburst( branchvalues=branchvalues, count=count, customdata=customdata, customdatasrc=customdatasrc, domain=domain, hoverinfo=hoverinfo, hoverinfosrc=hoverinfosrc, hoverlabel=hoverlabel, hovertemplate=hovertemplate, hovertemplatesrc=hovertemplatesrc, hovertext=hovertext, hovertextsrc=hovertextsrc, ids=ids, idssrc=idssrc, insidetextfont=insidetextfont, insidetextorientation=insidetextorientation, labels=labels, labelssrc=labelssrc, leaf=leaf, legend=legend, legendgrouptitle=legendgrouptitle, legendrank=legendrank, legendwidth=legendwidth, level=level, marker=marker, maxdepth=maxdepth, meta=meta, metasrc=metasrc, name=name, opacity=opacity, outsidetextfont=outsidetextfont, parents=parents, parentssrc=parentssrc, root=root, rotation=rotation, sort=sort, stream=stream, text=text, textfont=textfont, textinfo=textinfo, textsrc=textsrc, texttemplate=texttemplate, texttemplatesrc=texttemplatesrc, uid=uid, uirevision=uirevision, values=values, valuessrc=valuessrc, visible=visible, **kwargs, ) return self.add_trace(new_trace, row=row, col=col) def add_surface( self, autocolorscale=None, cauto=None, cmax=None, cmid=None, cmin=None, coloraxis=None, colorbar=None, colorscale=None, connectgaps=None, contours=None, customdata=None, customdatasrc=None, hidesurface=None, hoverinfo=None, hoverinfosrc=None, hoverlabel=None, hovertemplate=None, hovertemplatesrc=None, hovertext=None, hovertextsrc=None, ids=None, idssrc=None, legend=None, legendgroup=None, legendgrouptitle=None, legendrank=None, legendwidth=None, lighting=None, lightposition=None, meta=None, metasrc=None, name=None, opacity=None, opacityscale=None, reversescale=None, scene=None, showlegend=None, showscale=None, stream=None, surfacecolor=None, surfacecolorsrc=None, text=None, textsrc=None, uid=None, uirevision=None, visible=None, x=None, xcalendar=None, xhoverformat=None, xsrc=None, y=None, ycalendar=None, yhoverformat=None, ysrc=None, z=None, zcalendar=None, zhoverformat=None, zsrc=None, row=None, col=None, **kwargs, ) -> "FigureWidget": """ Add a new Surface trace The data the describes the coordinates of the surface is set in `z`. Data in `z` should be a 2D list. Coordinates in `x` and `y` can either be 1D lists or 2D lists (e.g. to graph parametric surfaces). If not provided in `x` and `y`, the x and y coordinates are assumed to be linear starting at 0 with a unit step. The color scale corresponds to the `z` values by default. For custom color scales, use `surfacecolor` which should be a 2D list, where its bounds can be controlled using `cmin` and `cmax`. Parameters ---------- autocolorscale Determines whether the colorscale is a default palette (`autocolorscale: true`) or the palette determined by `colorscale`. In case `colorscale` is unspecified or `autocolorscale` is true, the default palette will be chosen according to whether numbers in the `color` array are all positive, all negative or mixed. cauto Determines whether or not the color domain is computed with respect to the input data (here z or surfacecolor) or the bounds set in `cmin` and `cmax` Defaults to `false` when `cmin` and `cmax` are set by the user. cmax Sets the upper bound of the color domain. Value should have the same units as z or surfacecolor and if set, `cmin` must be set as well. cmid Sets the mid-point of the color domain by scaling `cmin` and/or `cmax` to be equidistant to this point. Value should have the same units as z or surfacecolor. Has no effect when `cauto` is `false`. cmin Sets the lower bound of the color domain. Value should have the same units as z or surfacecolor and if set, `cmax` must be set as well. coloraxis Sets a reference to a shared color axis. References to these shared color axes are "coloraxis", "coloraxis2", "coloraxis3", etc. Settings for these shared color axes are set in the layout, under `layout.coloraxis`, `layout.coloraxis2`, etc. Note that multiple color scales can be linked to the same color axis. colorbar :class:`plotly.graph_objects.surface.ColorBar` instance or dict with compatible properties colorscale Sets the colorscale. The colorscale must be an array containing arrays mapping a normalized value to an rgb, rgba, hex, hsl, hsv, or named color string. At minimum, a mapping for the lowest (0) and highest (1) values are required. For example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the bounds of the colorscale in color space, use `cmin` and `cmax`. Alternatively, `colorscale` may be a palette name string of the following list: Blackbody,Bluered,Blues,C ividis,Earth,Electric,Greens,Greys,Hot,Jet,Picnic,Portl and,Rainbow,RdBu,Reds,Viridis,YlGnBu,YlOrRd. connectgaps Determines whether or not gaps (i.e. {nan} or missing values) in the `z` data are filled in. contours :class:`plotly.graph_objects.surface.Contours` instance or dict with compatible properties customdata Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, "scatter" traces also appends customdata items in the markers DOM elements customdatasrc Sets the source reference on Chart Studio Cloud for `customdata`. hidesurface Determines whether or not a surface is drawn. For example, set `hidesurface` to False `contours.x.show` to True and `contours.y.show` to True to draw a wire frame plot. hoverinfo Determines which trace information appear on hover. If `none` or `skip` are set, no information is displayed upon hovering. But, if `none` is set, click and hover events are still fired. hoverinfosrc Sets the source reference on Chart Studio Cloud for `hoverinfo`. hoverlabel :class:`plotly.graph_objects.surface.Hoverlabel` instance or dict with compatible properties hovertemplate Template string used for rendering the information that appear on hover box. Note that this will override `hoverinfo`. Variables are inserted using %{variable}, for example "y: %{y}" as well as %{xother}, {%_xother}, {%_xother_}, {%xother_}. When showing info for several points, "xother" will be added to those with different x positions from the first point. An underscore before or after "(x|y)other" will add a space on that side, only when this field is shown. Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. The variables available in `hovertemplate` are the ones emitted as event data described at this link https://plotly.com/javascript/plotlyjs-events/#event- data. Additionally, every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. Anything contained in tag `` is displayed in the secondary box, for example "{fullData.name}". To hide the secondary box completely, use an empty tag ``. hovertemplatesrc Sets the source reference on Chart Studio Cloud for `hovertemplate`. hovertext Same as `text`. hovertextsrc Sets the source reference on Chart Studio Cloud for `hovertext`. ids Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type. idssrc Sets the source reference on Chart Studio Cloud for `ids`. legend Sets the reference to a legend to show this trace in. References to these legends are "legend", "legend2", "legend3", etc. Settings for these legends are set in the layout, under `layout.legend`, `layout.legend2`, etc. legendgroup Sets the legend group for this trace. Traces and shapes part of the same legend group hide/show at the same time when toggling legend items. legendgrouptitle :class:`plotly.graph_objects.surface.Legendgrouptitle` instance or dict with compatible properties legendrank Sets the legend rank for this trace. Items and groups with smaller ranks are presented on top/left side while with "reversed" `legend.traceorder` they are on bottom/right side. The default legendrank is 1000, so that you can use ranks less than 1000 to place certain items before all unranked items, and ranks greater than 1000 to go after all unranked items. When having unranked or equal rank items shapes would be displayed after traces i.e. according to their order in data and layout. legendwidth Sets the width (in px or fraction) of the legend for this trace. lighting :class:`plotly.graph_objects.surface.Lighting` instance or dict with compatible properties lightposition :class:`plotly.graph_objects.surface.Lightposition` instance or dict with compatible properties meta Assigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace `name`, graph, axis and colorbar `title.text`, annotation `text` `rangeselector`, `updatemenues` and `sliders` `label` text all support `meta`. To access the trace `meta` values in an attribute in the same trace, simply use `%{meta[i]}` where `i` is the index or key of the `meta` item in question. To access trace `meta` in layout attributes, use `%{data[n[.meta[i]}` where `i` is the index or key of the `meta` and `n` is the trace index. metasrc Sets the source reference on Chart Studio Cloud for `meta`. name Sets the trace name. The trace name appears as the legend item and on hover. opacity Sets the opacity of the surface. Please note that in the case of using high `opacity` values for example a value greater than or equal to 0.5 on two surfaces (and 0.25 with four surfaces), an overlay of multiple transparent surfaces may not perfectly be sorted in depth by the webgl API. This behavior may be improved in the near future and is subject to change. opacityscale Sets the opacityscale. The opacityscale must be an array containing arrays mapping a normalized value to an opacity value. At minimum, a mapping for the lowest (0) and highest (1) values are required. For example, `[[0, 1], [0.5, 0.2], [1, 1]]` means that higher/lower values would have higher opacity values and those in the middle would be more transparent Alternatively, `opacityscale` may be a palette name string of the following list: 'min', 'max', 'extremes' and 'uniform'. The default is 'uniform'. reversescale Reverses the color mapping if true. If true, `cmin` will correspond to the last color in the array and `cmax` will correspond to the first color. scene Sets a reference between this trace's 3D coordinate system and a 3D scene. If "scene" (the default value), the (x,y,z) coordinates refer to `layout.scene`. If "scene2", the (x,y,z) coordinates refer to `layout.scene2`, and so on. showlegend Determines whether or not an item corresponding to this trace is shown in the legend. showscale Determines whether or not a colorbar is displayed for this trace. stream :class:`plotly.graph_objects.surface.Stream` instance or dict with compatible properties surfacecolor Sets the surface color values, used for setting a color scale independent of `z`. surfacecolorsrc Sets the source reference on Chart Studio Cloud for `surfacecolor`. text Sets the text elements associated with each z value. If trace `hoverinfo` contains a "text" flag and "hovertext" is not set, these elements will be seen in the hover labels. textsrc Sets the source reference on Chart Studio Cloud for `text`. uid Assign an id to this trace, Use this to provide object constancy between traces during animations and transitions. uirevision Controls persistence of some user-driven changes to the trace: `constraintrange` in `parcoords` traces, as well as some `editable: true` modifications such as `name` and `colorbar.title`. Defaults to `layout.uirevision`. Note that other user-driven trace attribute changes are controlled by `layout` attributes: `trace.visible` is controlled by `layout.legend.uirevision`, `selectedpoints` is controlled by `layout.selectionrevision`, and `colorbar.(x|y)` (accessible with `config: {editable: true}`) is controlled by `layout.editrevision`. Trace changes are tracked by `uid`, which only falls back on trace index if no `uid` is provided. So if your app can add/remove traces before the end of the `data` array, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace a `uid` that stays with it as it moves. visible Determines whether or not this trace is visible. If "legendonly", the trace is not drawn, but can appear as a legend item (provided that the legend itself is visible). x Sets the x coordinates. xcalendar Sets the calendar system to use with `x` date data. xhoverformat Sets the hover text formatting rulefor `x` using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-format/tree/v1.4.5#d3-format. And for dates see: https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format. We add two items to d3's date formatter: "%h" for half of the year as a decimal number as well as "%{n}f" for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat "%H~%M~%S.%2f" would display *09~15~23.46*By default the values are formatted using `xaxis.hoverformat`. xsrc Sets the source reference on Chart Studio Cloud for `x`. y Sets the y coordinates. ycalendar Sets the calendar system to use with `y` date data. yhoverformat Sets the hover text formatting rulefor `y` using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-format/tree/v1.4.5#d3-format. And for dates see: https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format. We add two items to d3's date formatter: "%h" for half of the year as a decimal number as well as "%{n}f" for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat "%H~%M~%S.%2f" would display *09~15~23.46*By default the values are formatted using `yaxis.hoverformat`. ysrc Sets the source reference on Chart Studio Cloud for `y`. z Sets the z coordinates. zcalendar Sets the calendar system to use with `z` date data. zhoverformat Sets the hover text formatting rulefor `z` using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-format/tree/v1.4.5#d3-format. And for dates see: https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format. We add two items to d3's date formatter: "%h" for half of the year as a decimal number as well as "%{n}f" for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat "%H~%M~%S.%2f" would display *09~15~23.46*By default the values are formatted using `zaxis.hoverformat`. zsrc Sets the source reference on Chart Studio Cloud for `z`. row : 'all', int or None (default) Subplot row index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all rows in the specified column(s). col : 'all', int or None (default) Subplot col index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all columns in the specified row(s). Returns ------- FigureWidget """ from plotly.graph_objs import Surface new_trace = Surface( autocolorscale=autocolorscale, cauto=cauto, cmax=cmax, cmid=cmid, cmin=cmin, coloraxis=coloraxis, colorbar=colorbar, colorscale=colorscale, connectgaps=connectgaps, contours=contours, customdata=customdata, customdatasrc=customdatasrc, hidesurface=hidesurface, hoverinfo=hoverinfo, hoverinfosrc=hoverinfosrc, hoverlabel=hoverlabel, hovertemplate=hovertemplate, hovertemplatesrc=hovertemplatesrc, hovertext=hovertext, hovertextsrc=hovertextsrc, ids=ids, idssrc=idssrc, legend=legend, legendgroup=legendgroup, legendgrouptitle=legendgrouptitle, legendrank=legendrank, legendwidth=legendwidth, lighting=lighting, lightposition=lightposition, meta=meta, metasrc=metasrc, name=name, opacity=opacity, opacityscale=opacityscale, reversescale=reversescale, scene=scene, showlegend=showlegend, showscale=showscale, stream=stream, surfacecolor=surfacecolor, surfacecolorsrc=surfacecolorsrc, text=text, textsrc=textsrc, uid=uid, uirevision=uirevision, visible=visible, x=x, xcalendar=xcalendar, xhoverformat=xhoverformat, xsrc=xsrc, y=y, ycalendar=ycalendar, yhoverformat=yhoverformat, ysrc=ysrc, z=z, zcalendar=zcalendar, zhoverformat=zhoverformat, zsrc=zsrc, **kwargs, ) return self.add_trace(new_trace, row=row, col=col) def add_table( self, cells=None, columnorder=None, columnordersrc=None, columnwidth=None, columnwidthsrc=None, customdata=None, customdatasrc=None, domain=None, header=None, hoverinfo=None, hoverinfosrc=None, hoverlabel=None, ids=None, idssrc=None, legend=None, legendgrouptitle=None, legendrank=None, legendwidth=None, meta=None, metasrc=None, name=None, stream=None, uid=None, uirevision=None, visible=None, row=None, col=None, **kwargs, ) -> "FigureWidget": """ Add a new Table trace Table view for detailed data viewing. The data are arranged in a grid of rows and columns. Most styling can be specified for columns, rows or individual cells. Table is using a column- major order, ie. the grid is represented as a vector of column vectors. Parameters ---------- cells :class:`plotly.graph_objects.table.Cells` instance or dict with compatible properties columnorder Specifies the rendered order of the data columns; for example, a value `2` at position `0` means that column index `0` in the data will be rendered as the third column, as columns have an index base of zero. columnordersrc Sets the source reference on Chart Studio Cloud for `columnorder`. columnwidth The width of columns expressed as a ratio. Columns fill the available width in proportion of their specified column widths. columnwidthsrc Sets the source reference on Chart Studio Cloud for `columnwidth`. customdata Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, "scatter" traces also appends customdata items in the markers DOM elements customdatasrc Sets the source reference on Chart Studio Cloud for `customdata`. domain :class:`plotly.graph_objects.table.Domain` instance or dict with compatible properties header :class:`plotly.graph_objects.table.Header` instance or dict with compatible properties hoverinfo Determines which trace information appear on hover. If `none` or `skip` are set, no information is displayed upon hovering. But, if `none` is set, click and hover events are still fired. hoverinfosrc Sets the source reference on Chart Studio Cloud for `hoverinfo`. hoverlabel :class:`plotly.graph_objects.table.Hoverlabel` instance or dict with compatible properties ids Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type. idssrc Sets the source reference on Chart Studio Cloud for `ids`. legend Sets the reference to a legend to show this trace in. References to these legends are "legend", "legend2", "legend3", etc. Settings for these legends are set in the layout, under `layout.legend`, `layout.legend2`, etc. legendgrouptitle :class:`plotly.graph_objects.table.Legendgrouptitle` instance or dict with compatible properties legendrank Sets the legend rank for this trace. Items and groups with smaller ranks are presented on top/left side while with "reversed" `legend.traceorder` they are on bottom/right side. The default legendrank is 1000, so that you can use ranks less than 1000 to place certain items before all unranked items, and ranks greater than 1000 to go after all unranked items. When having unranked or equal rank items shapes would be displayed after traces i.e. according to their order in data and layout. legendwidth Sets the width (in px or fraction) of the legend for this trace. meta Assigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace `name`, graph, axis and colorbar `title.text`, annotation `text` `rangeselector`, `updatemenues` and `sliders` `label` text all support `meta`. To access the trace `meta` values in an attribute in the same trace, simply use `%{meta[i]}` where `i` is the index or key of the `meta` item in question. To access trace `meta` in layout attributes, use `%{data[n[.meta[i]}` where `i` is the index or key of the `meta` and `n` is the trace index. metasrc Sets the source reference on Chart Studio Cloud for `meta`. name Sets the trace name. The trace name appears as the legend item and on hover. stream :class:`plotly.graph_objects.table.Stream` instance or dict with compatible properties uid Assign an id to this trace, Use this to provide object constancy between traces during animations and transitions. uirevision Controls persistence of some user-driven changes to the trace: `constraintrange` in `parcoords` traces, as well as some `editable: true` modifications such as `name` and `colorbar.title`. Defaults to `layout.uirevision`. Note that other user-driven trace attribute changes are controlled by `layout` attributes: `trace.visible` is controlled by `layout.legend.uirevision`, `selectedpoints` is controlled by `layout.selectionrevision`, and `colorbar.(x|y)` (accessible with `config: {editable: true}`) is controlled by `layout.editrevision`. Trace changes are tracked by `uid`, which only falls back on trace index if no `uid` is provided. So if your app can add/remove traces before the end of the `data` array, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace a `uid` that stays with it as it moves. visible Determines whether or not this trace is visible. If "legendonly", the trace is not drawn, but can appear as a legend item (provided that the legend itself is visible). row : 'all', int or None (default) Subplot row index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all rows in the specified column(s). col : 'all', int or None (default) Subplot col index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all columns in the specified row(s). Returns ------- FigureWidget """ from plotly.graph_objs import Table new_trace = Table( cells=cells, columnorder=columnorder, columnordersrc=columnordersrc, columnwidth=columnwidth, columnwidthsrc=columnwidthsrc, customdata=customdata, customdatasrc=customdatasrc, domain=domain, header=header, hoverinfo=hoverinfo, hoverinfosrc=hoverinfosrc, hoverlabel=hoverlabel, ids=ids, idssrc=idssrc, legend=legend, legendgrouptitle=legendgrouptitle, legendrank=legendrank, legendwidth=legendwidth, meta=meta, metasrc=metasrc, name=name, stream=stream, uid=uid, uirevision=uirevision, visible=visible, **kwargs, ) return self.add_trace(new_trace, row=row, col=col) def add_treemap( self, branchvalues=None, count=None, customdata=None, customdatasrc=None, domain=None, hoverinfo=None, hoverinfosrc=None, hoverlabel=None, hovertemplate=None, hovertemplatesrc=None, hovertext=None, hovertextsrc=None, ids=None, idssrc=None, insidetextfont=None, labels=None, labelssrc=None, legend=None, legendgrouptitle=None, legendrank=None, legendwidth=None, level=None, marker=None, maxdepth=None, meta=None, metasrc=None, name=None, opacity=None, outsidetextfont=None, parents=None, parentssrc=None, pathbar=None, root=None, sort=None, stream=None, text=None, textfont=None, textinfo=None, textposition=None, textsrc=None, texttemplate=None, texttemplatesrc=None, tiling=None, uid=None, uirevision=None, values=None, valuessrc=None, visible=None, row=None, col=None, **kwargs, ) -> "FigureWidget": """ Add a new Treemap trace Visualize hierarchal data from leaves (and/or outer branches) towards root with rectangles. The treemap sectors are determined by the entries in "labels" or "ids" and in "parents". Parameters ---------- branchvalues Determines how the items in `values` are summed. When set to "total", items in `values` are taken to be value of all its descendants. When set to "remainder", items in `values` corresponding to the root and the branches sectors are taken to be the extra part not part of the sum of the values at their leaves. count Determines default for `values` when it is not provided, by inferring a 1 for each of the "leaves" and/or "branches", otherwise 0. customdata Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, "scatter" traces also appends customdata items in the markers DOM elements customdatasrc Sets the source reference on Chart Studio Cloud for `customdata`. domain :class:`plotly.graph_objects.treemap.Domain` instance or dict with compatible properties hoverinfo Determines which trace information appear on hover. If `none` or `skip` are set, no information is displayed upon hovering. But, if `none` is set, click and hover events are still fired. hoverinfosrc Sets the source reference on Chart Studio Cloud for `hoverinfo`. hoverlabel :class:`plotly.graph_objects.treemap.Hoverlabel` instance or dict with compatible properties hovertemplate Template string used for rendering the information that appear on hover box. Note that this will override `hoverinfo`. Variables are inserted using %{variable}, for example "y: %{y}" as well as %{xother}, {%_xother}, {%_xother_}, {%xother_}. When showing info for several points, "xother" will be added to those with different x positions from the first point. An underscore before or after "(x|y)other" will add a space on that side, only when this field is shown. Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. The variables available in `hovertemplate` are the ones emitted as event data described at this link https://plotly.com/javascript/plotlyjs-events/#event- data. Additionally, every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. Finally, the template string has access to variables `currentPath`, `root`, `entry`, `percentRoot`, `percentEntry` and `percentParent`. Anything contained in tag `` is displayed in the secondary box, for example "{fullData.name}". To hide the secondary box completely, use an empty tag ``. hovertemplatesrc Sets the source reference on Chart Studio Cloud for `hovertemplate`. hovertext Sets hover text elements associated with each sector. If a single string, the same string appears for all data points. If an array of string, the items are mapped in order of this trace's sectors. To be seen, trace `hoverinfo` must contain a "text" flag. hovertextsrc Sets the source reference on Chart Studio Cloud for `hovertext`. ids Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type. idssrc Sets the source reference on Chart Studio Cloud for `ids`. insidetextfont Sets the font used for `textinfo` lying inside the sector. labels Sets the labels of each of the sectors. labelssrc Sets the source reference on Chart Studio Cloud for `labels`. legend Sets the reference to a legend to show this trace in. References to these legends are "legend", "legend2", "legend3", etc. Settings for these legends are set in the layout, under `layout.legend`, `layout.legend2`, etc. legendgrouptitle :class:`plotly.graph_objects.treemap.Legendgrouptitle` instance or dict with compatible properties legendrank Sets the legend rank for this trace. Items and groups with smaller ranks are presented on top/left side while with "reversed" `legend.traceorder` they are on bottom/right side. The default legendrank is 1000, so that you can use ranks less than 1000 to place certain items before all unranked items, and ranks greater than 1000 to go after all unranked items. When having unranked or equal rank items shapes would be displayed after traces i.e. according to their order in data and layout. legendwidth Sets the width (in px or fraction) of the legend for this trace. level Sets the level from which this trace hierarchy is rendered. Set `level` to `''` to start from the root node in the hierarchy. Must be an "id" if `ids` is filled in, otherwise plotly attempts to find a matching item in `labels`. marker :class:`plotly.graph_objects.treemap.Marker` instance or dict with compatible properties maxdepth Sets the number of rendered sectors from any given `level`. Set `maxdepth` to "-1" to render all the levels in the hierarchy. meta Assigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace `name`, graph, axis and colorbar `title.text`, annotation `text` `rangeselector`, `updatemenues` and `sliders` `label` text all support `meta`. To access the trace `meta` values in an attribute in the same trace, simply use `%{meta[i]}` where `i` is the index or key of the `meta` item in question. To access trace `meta` in layout attributes, use `%{data[n[.meta[i]}` where `i` is the index or key of the `meta` and `n` is the trace index. metasrc Sets the source reference on Chart Studio Cloud for `meta`. name Sets the trace name. The trace name appears as the legend item and on hover. opacity Sets the opacity of the trace. outsidetextfont Sets the font used for `textinfo` lying outside the sector. This option refers to the root of the hierarchy presented on top left corner of a treemap graph. Please note that if a hierarchy has multiple root nodes, this option won't have any effect and `insidetextfont` would be used. parents Sets the parent sectors for each of the sectors. Empty string items '' are understood to reference the root node in the hierarchy. If `ids` is filled, `parents` items are understood to be "ids" themselves. When `ids` is not set, plotly attempts to find matching items in `labels`, but beware they must be unique. parentssrc Sets the source reference on Chart Studio Cloud for `parents`. pathbar :class:`plotly.graph_objects.treemap.Pathbar` instance or dict with compatible properties root :class:`plotly.graph_objects.treemap.Root` instance or dict with compatible properties sort Determines whether or not the sectors are reordered from largest to smallest. stream :class:`plotly.graph_objects.treemap.Stream` instance or dict with compatible properties text Sets text elements associated with each sector. If trace `textinfo` contains a "text" flag, these elements will be seen on the chart. If trace `hoverinfo` contains a "text" flag and "hovertext" is not set, these elements will be seen in the hover labels. textfont Sets the font used for `textinfo`. textinfo Determines which trace information appear on the graph. textposition Sets the positions of the `text` elements. textsrc Sets the source reference on Chart Studio Cloud for `text`. texttemplate Template string used for rendering the information text that appear on points. Note that this will override `textinfo`. Variables are inserted using %{variable}, for example "y: %{y}". Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. Every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. Finally, the template string has access to variables `currentPath`, `root`, `entry`, `percentRoot`, `percentEntry`, `percentParent`, `label` and `value`. texttemplatesrc Sets the source reference on Chart Studio Cloud for `texttemplate`. tiling :class:`plotly.graph_objects.treemap.Tiling` instance or dict with compatible properties uid Assign an id to this trace, Use this to provide object constancy between traces during animations and transitions. uirevision Controls persistence of some user-driven changes to the trace: `constraintrange` in `parcoords` traces, as well as some `editable: true` modifications such as `name` and `colorbar.title`. Defaults to `layout.uirevision`. Note that other user-driven trace attribute changes are controlled by `layout` attributes: `trace.visible` is controlled by `layout.legend.uirevision`, `selectedpoints` is controlled by `layout.selectionrevision`, and `colorbar.(x|y)` (accessible with `config: {editable: true}`) is controlled by `layout.editrevision`. Trace changes are tracked by `uid`, which only falls back on trace index if no `uid` is provided. So if your app can add/remove traces before the end of the `data` array, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace a `uid` that stays with it as it moves. values Sets the values associated with each of the sectors. Use with `branchvalues` to determine how the values are summed. valuessrc Sets the source reference on Chart Studio Cloud for `values`. visible Determines whether or not this trace is visible. If "legendonly", the trace is not drawn, but can appear as a legend item (provided that the legend itself is visible). row : 'all', int or None (default) Subplot row index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all rows in the specified column(s). col : 'all', int or None (default) Subplot col index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all columns in the specified row(s). Returns ------- FigureWidget """ from plotly.graph_objs import Treemap new_trace = Treemap( branchvalues=branchvalues, count=count, customdata=customdata, customdatasrc=customdatasrc, domain=domain, hoverinfo=hoverinfo, hoverinfosrc=hoverinfosrc, hoverlabel=hoverlabel, hovertemplate=hovertemplate, hovertemplatesrc=hovertemplatesrc, hovertext=hovertext, hovertextsrc=hovertextsrc, ids=ids, idssrc=idssrc, insidetextfont=insidetextfont, labels=labels, labelssrc=labelssrc, legend=legend, legendgrouptitle=legendgrouptitle, legendrank=legendrank, legendwidth=legendwidth, level=level, marker=marker, maxdepth=maxdepth, meta=meta, metasrc=metasrc, name=name, opacity=opacity, outsidetextfont=outsidetextfont, parents=parents, parentssrc=parentssrc, pathbar=pathbar, root=root, sort=sort, stream=stream, text=text, textfont=textfont, textinfo=textinfo, textposition=textposition, textsrc=textsrc, texttemplate=texttemplate, texttemplatesrc=texttemplatesrc, tiling=tiling, uid=uid, uirevision=uirevision, values=values, valuessrc=valuessrc, visible=visible, **kwargs, ) return self.add_trace(new_trace, row=row, col=col) def add_violin( self, alignmentgroup=None, bandwidth=None, box=None, customdata=None, customdatasrc=None, fillcolor=None, hoverinfo=None, hoverinfosrc=None, hoverlabel=None, hoveron=None, hovertemplate=None, hovertemplatesrc=None, hovertext=None, hovertextsrc=None, ids=None, idssrc=None, jitter=None, legend=None, legendgroup=None, legendgrouptitle=None, legendrank=None, legendwidth=None, line=None, marker=None, meanline=None, meta=None, metasrc=None, name=None, offsetgroup=None, opacity=None, orientation=None, pointpos=None, points=None, quartilemethod=None, scalegroup=None, scalemode=None, selected=None, selectedpoints=None, showlegend=None, side=None, span=None, spanmode=None, stream=None, text=None, textsrc=None, uid=None, uirevision=None, unselected=None, visible=None, width=None, x=None, x0=None, xaxis=None, xhoverformat=None, xsrc=None, y=None, y0=None, yaxis=None, yhoverformat=None, ysrc=None, zorder=None, row=None, col=None, secondary_y=None, **kwargs, ) -> "FigureWidget": """ Add a new Violin trace In vertical (horizontal) violin plots, statistics are computed using `y` (`x`) values. By supplying an `x` (`y`) array, one violin per distinct x (y) value is drawn If no `x` (`y`) list is provided, a single violin is drawn. That violin position is then positioned with with `name` or with `x0` (`y0`) if provided. Parameters ---------- alignmentgroup Set several traces linked to the same position axis or matching axes to the same alignmentgroup. This controls whether bars compute their positional range dependently or independently. bandwidth Sets the bandwidth used to compute the kernel density estimate. By default, the bandwidth is determined by Silverman's rule of thumb. box :class:`plotly.graph_objects.violin.Box` instance or dict with compatible properties customdata Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, "scatter" traces also appends customdata items in the markers DOM elements customdatasrc Sets the source reference on Chart Studio Cloud for `customdata`. fillcolor Sets the fill color. Defaults to a half-transparent variant of the line color, marker color, or marker line color, whichever is available. hoverinfo Determines which trace information appear on hover. If `none` or `skip` are set, no information is displayed upon hovering. But, if `none` is set, click and hover events are still fired. hoverinfosrc Sets the source reference on Chart Studio Cloud for `hoverinfo`. hoverlabel :class:`plotly.graph_objects.violin.Hoverlabel` instance or dict with compatible properties hoveron Do the hover effects highlight individual violins or sample points or the kernel density estimate or any combination of them? hovertemplate Template string used for rendering the information that appear on hover box. Note that this will override `hoverinfo`. Variables are inserted using %{variable}, for example "y: %{y}" as well as %{xother}, {%_xother}, {%_xother_}, {%xother_}. When showing info for several points, "xother" will be added to those with different x positions from the first point. An underscore before or after "(x|y)other" will add a space on that side, only when this field is shown. Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. The variables available in `hovertemplate` are the ones emitted as event data described at this link https://plotly.com/javascript/plotlyjs-events/#event- data. Additionally, every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. Anything contained in tag `` is displayed in the secondary box, for example "{fullData.name}". To hide the secondary box completely, use an empty tag ``. hovertemplatesrc Sets the source reference on Chart Studio Cloud for `hovertemplate`. hovertext Same as `text`. hovertextsrc Sets the source reference on Chart Studio Cloud for `hovertext`. ids Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type. idssrc Sets the source reference on Chart Studio Cloud for `ids`. jitter Sets the amount of jitter in the sample points drawn. If 0, the sample points align along the distribution axis. If 1, the sample points are drawn in a random jitter of width equal to the width of the violins. legend Sets the reference to a legend to show this trace in. References to these legends are "legend", "legend2", "legend3", etc. Settings for these legends are set in the layout, under `layout.legend`, `layout.legend2`, etc. legendgroup Sets the legend group for this trace. Traces and shapes part of the same legend group hide/show at the same time when toggling legend items. legendgrouptitle :class:`plotly.graph_objects.violin.Legendgrouptitle` instance or dict with compatible properties legendrank Sets the legend rank for this trace. Items and groups with smaller ranks are presented on top/left side while with "reversed" `legend.traceorder` they are on bottom/right side. The default legendrank is 1000, so that you can use ranks less than 1000 to place certain items before all unranked items, and ranks greater than 1000 to go after all unranked items. When having unranked or equal rank items shapes would be displayed after traces i.e. according to their order in data and layout. legendwidth Sets the width (in px or fraction) of the legend for this trace. line :class:`plotly.graph_objects.violin.Line` instance or dict with compatible properties marker :class:`plotly.graph_objects.violin.Marker` instance or dict with compatible properties meanline :class:`plotly.graph_objects.violin.Meanline` instance or dict with compatible properties meta Assigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace `name`, graph, axis and colorbar `title.text`, annotation `text` `rangeselector`, `updatemenues` and `sliders` `label` text all support `meta`. To access the trace `meta` values in an attribute in the same trace, simply use `%{meta[i]}` where `i` is the index or key of the `meta` item in question. To access trace `meta` in layout attributes, use `%{data[n[.meta[i]}` where `i` is the index or key of the `meta` and `n` is the trace index. metasrc Sets the source reference on Chart Studio Cloud for `meta`. name Sets the trace name. The trace name appears as the legend item and on hover. For violin traces, the name will also be used for the position coordinate, if `x` and `x0` (`y` and `y0` if horizontal) are missing and the position axis is categorical. Note that the trace name is also used as a default value for attribute `scalegroup` (please see its description for details). offsetgroup Set several traces linked to the same position axis or matching axes to the same offsetgroup where bars of the same position coordinate will line up. opacity Sets the opacity of the trace. orientation Sets the orientation of the violin(s). If "v" ("h"), the distribution is visualized along the vertical (horizontal). pointpos Sets the position of the sample points in relation to the violins. If 0, the sample points are places over the center of the violins. Positive (negative) values correspond to positions to the right (left) for vertical violins and above (below) for horizontal violins. points If "outliers", only the sample points lying outside the whiskers are shown If "suspectedoutliers", the outlier points are shown and points either less than 4*Q1-3*Q3 or greater than 4*Q3-3*Q1 are highlighted (see `outliercolor`) If "all", all sample points are shown If False, only the violins are shown with no sample points. Defaults to "suspectedoutliers" when `marker.outliercolor` or `marker.line.outliercolor` is set, otherwise defaults to "outliers". quartilemethod Sets the method used to compute the sample's Q1 and Q3 quartiles. The "linear" method uses the 25th percentile for Q1 and 75th percentile for Q3 as computed using method #10 (listed on http://jse.amstat.org/v14n3/langford.html). The "exclusive" method uses the median to divide the ordered dataset into two halves if the sample is odd, it does not include the median in either half - Q1 is then the median of the lower half and Q3 the median of the upper half. The "inclusive" method also uses the median to divide the ordered dataset into two halves but if the sample is odd, it includes the median in both halves - Q1 is then the median of the lower half and Q3 the median of the upper half. scalegroup If there are multiple violins that should be sized according to to some metric (see `scalemode`), link them by providing a non-empty group id here shared by every trace in the same group. If a violin's `width` is undefined, `scalegroup` will default to the trace's name. In this case, violins with the same names will be linked together scalemode Sets the metric by which the width of each violin is determined. "width" means each violin has the same (max) width "count" means the violins are scaled by the number of sample points making up each violin. selected :class:`plotly.graph_objects.violin.Selected` instance or dict with compatible properties selectedpoints Array containing integer indices of selected points. Has an effect only for traces that support selections. Note that an empty array means an empty selection where the `unselected` are turned on for all points, whereas, any other non-array values means no selection all where the `selected` and `unselected` styles have no effect. showlegend Determines whether or not an item corresponding to this trace is shown in the legend. side Determines on which side of the position value the density function making up one half of a violin is plotted. Useful when comparing two violin traces under "overlay" mode, where one trace has `side` set to "positive" and the other to "negative". span Sets the span in data space for which the density function will be computed. Has an effect only when `spanmode` is set to "manual". spanmode Sets the method by which the span in data space where the density function will be computed. "soft" means the span goes from the sample's minimum value minus two bandwidths to the sample's maximum value plus two bandwidths. "hard" means the span goes from the sample's minimum to its maximum value. For custom span settings, use mode "manual" and fill in the `span` attribute. stream :class:`plotly.graph_objects.violin.Stream` instance or dict with compatible properties text Sets the text elements associated with each sample value. If a single string, the same string appears over all the data points. If an array of string, the items are mapped in order to the this trace's (x,y) coordinates. To be seen, trace `hoverinfo` must contain a "text" flag. textsrc Sets the source reference on Chart Studio Cloud for `text`. uid Assign an id to this trace, Use this to provide object constancy between traces during animations and transitions. uirevision Controls persistence of some user-driven changes to the trace: `constraintrange` in `parcoords` traces, as well as some `editable: true` modifications such as `name` and `colorbar.title`. Defaults to `layout.uirevision`. Note that other user-driven trace attribute changes are controlled by `layout` attributes: `trace.visible` is controlled by `layout.legend.uirevision`, `selectedpoints` is controlled by `layout.selectionrevision`, and `colorbar.(x|y)` (accessible with `config: {editable: true}`) is controlled by `layout.editrevision`. Trace changes are tracked by `uid`, which only falls back on trace index if no `uid` is provided. So if your app can add/remove traces before the end of the `data` array, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace a `uid` that stays with it as it moves. unselected :class:`plotly.graph_objects.violin.Unselected` instance or dict with compatible properties visible Determines whether or not this trace is visible. If "legendonly", the trace is not drawn, but can appear as a legend item (provided that the legend itself is visible). width Sets the width of the violin in data coordinates. If 0 (default value) the width is automatically selected based on the positions of other violin traces in the same subplot. x Sets the x sample data or coordinates. See overview for more info. x0 Sets the x coordinate for single-box traces or the starting coordinate for multi-box traces set using q1/median/q3. See overview for more info. xaxis Sets a reference between this trace's x coordinates and a 2D cartesian x axis. If "x" (the default value), the x coordinates refer to `layout.xaxis`. If "x2", the x coordinates refer to `layout.xaxis2`, and so on. xhoverformat Sets the hover text formatting rulefor `x` using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-format/tree/v1.4.5#d3-format. And for dates see: https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format. We add two items to d3's date formatter: "%h" for half of the year as a decimal number as well as "%{n}f" for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat "%H~%M~%S.%2f" would display *09~15~23.46*By default the values are formatted using `xaxis.hoverformat`. xsrc Sets the source reference on Chart Studio Cloud for `x`. y Sets the y sample data or coordinates. See overview for more info. y0 Sets the y coordinate for single-box traces or the starting coordinate for multi-box traces set using q1/median/q3. See overview for more info. yaxis Sets a reference between this trace's y coordinates and a 2D cartesian y axis. If "y" (the default value), the y coordinates refer to `layout.yaxis`. If "y2", the y coordinates refer to `layout.yaxis2`, and so on. yhoverformat Sets the hover text formatting rulefor `y` using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-format/tree/v1.4.5#d3-format. And for dates see: https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format. We add two items to d3's date formatter: "%h" for half of the year as a decimal number as well as "%{n}f" for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat "%H~%M~%S.%2f" would display *09~15~23.46*By default the values are formatted using `yaxis.hoverformat`. ysrc Sets the source reference on Chart Studio Cloud for `y`. zorder Sets the layer on which this trace is displayed, relative to other SVG traces on the same subplot. SVG traces with higher `zorder` appear in front of those with lower `zorder`. row : 'all', int or None (default) Subplot row index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all rows in the specified column(s). col : 'all', int or None (default) Subplot col index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all columns in the specified row(s). secondary_y: boolean or None (default None) If True, associate this trace with the secondary y-axis of the subplot at the specified row and col. Only valid if all of the following conditions are satisfied: * The figure was created using `plotly.subplots.make_subplots`. * The row and col arguments are not None * The subplot at the specified row and col has type xy (which is the default) and secondary_y True. These properties are specified in the specs argument to make_subplots. See the make_subplots docstring for more info. Returns ------- FigureWidget """ from plotly.graph_objs import Violin new_trace = Violin( alignmentgroup=alignmentgroup, bandwidth=bandwidth, box=box, customdata=customdata, customdatasrc=customdatasrc, fillcolor=fillcolor, hoverinfo=hoverinfo, hoverinfosrc=hoverinfosrc, hoverlabel=hoverlabel, hoveron=hoveron, hovertemplate=hovertemplate, hovertemplatesrc=hovertemplatesrc, hovertext=hovertext, hovertextsrc=hovertextsrc, ids=ids, idssrc=idssrc, jitter=jitter, legend=legend, legendgroup=legendgroup, legendgrouptitle=legendgrouptitle, legendrank=legendrank, legendwidth=legendwidth, line=line, marker=marker, meanline=meanline, meta=meta, metasrc=metasrc, name=name, offsetgroup=offsetgroup, opacity=opacity, orientation=orientation, pointpos=pointpos, points=points, quartilemethod=quartilemethod, scalegroup=scalegroup, scalemode=scalemode, selected=selected, selectedpoints=selectedpoints, showlegend=showlegend, side=side, span=span, spanmode=spanmode, stream=stream, text=text, textsrc=textsrc, uid=uid, uirevision=uirevision, unselected=unselected, visible=visible, width=width, x=x, x0=x0, xaxis=xaxis, xhoverformat=xhoverformat, xsrc=xsrc, y=y, y0=y0, yaxis=yaxis, yhoverformat=yhoverformat, ysrc=ysrc, zorder=zorder, **kwargs, ) return self.add_trace(new_trace, row=row, col=col, secondary_y=secondary_y) def add_volume( self, autocolorscale=None, caps=None, cauto=None, cmax=None, cmid=None, cmin=None, coloraxis=None, colorbar=None, colorscale=None, contour=None, customdata=None, customdatasrc=None, flatshading=None, hoverinfo=None, hoverinfosrc=None, hoverlabel=None, hovertemplate=None, hovertemplatesrc=None, hovertext=None, hovertextsrc=None, ids=None, idssrc=None, isomax=None, isomin=None, legend=None, legendgroup=None, legendgrouptitle=None, legendrank=None, legendwidth=None, lighting=None, lightposition=None, meta=None, metasrc=None, name=None, opacity=None, opacityscale=None, reversescale=None, scene=None, showlegend=None, showscale=None, slices=None, spaceframe=None, stream=None, surface=None, text=None, textsrc=None, uid=None, uirevision=None, value=None, valuehoverformat=None, valuesrc=None, visible=None, x=None, xhoverformat=None, xsrc=None, y=None, yhoverformat=None, ysrc=None, z=None, zhoverformat=None, zsrc=None, row=None, col=None, **kwargs, ) -> "FigureWidget": """ Add a new Volume trace Draws volume trace between iso-min and iso-max values with coordinates given by four 1-dimensional arrays containing the `value`, `x`, `y` and `z` of every vertex of a uniform or non- uniform 3-D grid. Horizontal or vertical slices, caps as well as spaceframe between iso-min and iso-max values could also be drawn using this trace. Parameters ---------- autocolorscale Determines whether the colorscale is a default palette (`autocolorscale: true`) or the palette determined by `colorscale`. In case `colorscale` is unspecified or `autocolorscale` is true, the default palette will be chosen according to whether numbers in the `color` array are all positive, all negative or mixed. caps :class:`plotly.graph_objects.volume.Caps` instance or dict with compatible properties cauto Determines whether or not the color domain is computed with respect to the input data (here `value`) or the bounds set in `cmin` and `cmax` Defaults to `false` when `cmin` and `cmax` are set by the user. cmax Sets the upper bound of the color domain. Value should have the same units as `value` and if set, `cmin` must be set as well. cmid Sets the mid-point of the color domain by scaling `cmin` and/or `cmax` to be equidistant to this point. Value should have the same units as `value`. Has no effect when `cauto` is `false`. cmin Sets the lower bound of the color domain. Value should have the same units as `value` and if set, `cmax` must be set as well. coloraxis Sets a reference to a shared color axis. References to these shared color axes are "coloraxis", "coloraxis2", "coloraxis3", etc. Settings for these shared color axes are set in the layout, under `layout.coloraxis`, `layout.coloraxis2`, etc. Note that multiple color scales can be linked to the same color axis. colorbar :class:`plotly.graph_objects.volume.ColorBar` instance or dict with compatible properties colorscale Sets the colorscale. The colorscale must be an array containing arrays mapping a normalized value to an rgb, rgba, hex, hsl, hsv, or named color string. At minimum, a mapping for the lowest (0) and highest (1) values are required. For example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the bounds of the colorscale in color space, use `cmin` and `cmax`. Alternatively, `colorscale` may be a palette name string of the following list: Blackbody,Bluered,Blues,C ividis,Earth,Electric,Greens,Greys,Hot,Jet,Picnic,Portl and,Rainbow,RdBu,Reds,Viridis,YlGnBu,YlOrRd. contour :class:`plotly.graph_objects.volume.Contour` instance or dict with compatible properties customdata Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, "scatter" traces also appends customdata items in the markers DOM elements customdatasrc Sets the source reference on Chart Studio Cloud for `customdata`. flatshading Determines whether or not normal smoothing is applied to the meshes, creating meshes with an angular, low- poly look via flat reflections. hoverinfo Determines which trace information appear on hover. If `none` or `skip` are set, no information is displayed upon hovering. But, if `none` is set, click and hover events are still fired. hoverinfosrc Sets the source reference on Chart Studio Cloud for `hoverinfo`. hoverlabel :class:`plotly.graph_objects.volume.Hoverlabel` instance or dict with compatible properties hovertemplate Template string used for rendering the information that appear on hover box. Note that this will override `hoverinfo`. Variables are inserted using %{variable}, for example "y: %{y}" as well as %{xother}, {%_xother}, {%_xother_}, {%xother_}. When showing info for several points, "xother" will be added to those with different x positions from the first point. An underscore before or after "(x|y)other" will add a space on that side, only when this field is shown. Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. The variables available in `hovertemplate` are the ones emitted as event data described at this link https://plotly.com/javascript/plotlyjs-events/#event- data. Additionally, every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. Anything contained in tag `` is displayed in the secondary box, for example "{fullData.name}". To hide the secondary box completely, use an empty tag ``. hovertemplatesrc Sets the source reference on Chart Studio Cloud for `hovertemplate`. hovertext Same as `text`. hovertextsrc Sets the source reference on Chart Studio Cloud for `hovertext`. ids Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type. idssrc Sets the source reference on Chart Studio Cloud for `ids`. isomax Sets the maximum boundary for iso-surface plot. isomin Sets the minimum boundary for iso-surface plot. legend Sets the reference to a legend to show this trace in. References to these legends are "legend", "legend2", "legend3", etc. Settings for these legends are set in the layout, under `layout.legend`, `layout.legend2`, etc. legendgroup Sets the legend group for this trace. Traces and shapes part of the same legend group hide/show at the same time when toggling legend items. legendgrouptitle :class:`plotly.graph_objects.volume.Legendgrouptitle` instance or dict with compatible properties legendrank Sets the legend rank for this trace. Items and groups with smaller ranks are presented on top/left side while with "reversed" `legend.traceorder` they are on bottom/right side. The default legendrank is 1000, so that you can use ranks less than 1000 to place certain items before all unranked items, and ranks greater than 1000 to go after all unranked items. When having unranked or equal rank items shapes would be displayed after traces i.e. according to their order in data and layout. legendwidth Sets the width (in px or fraction) of the legend for this trace. lighting :class:`plotly.graph_objects.volume.Lighting` instance or dict with compatible properties lightposition :class:`plotly.graph_objects.volume.Lightposition` instance or dict with compatible properties meta Assigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace `name`, graph, axis and colorbar `title.text`, annotation `text` `rangeselector`, `updatemenues` and `sliders` `label` text all support `meta`. To access the trace `meta` values in an attribute in the same trace, simply use `%{meta[i]}` where `i` is the index or key of the `meta` item in question. To access trace `meta` in layout attributes, use `%{data[n[.meta[i]}` where `i` is the index or key of the `meta` and `n` is the trace index. metasrc Sets the source reference on Chart Studio Cloud for `meta`. name Sets the trace name. The trace name appears as the legend item and on hover. opacity Sets the opacity of the surface. Please note that in the case of using high `opacity` values for example a value greater than or equal to 0.5 on two surfaces (and 0.25 with four surfaces), an overlay of multiple transparent surfaces may not perfectly be sorted in depth by the webgl API. This behavior may be improved in the near future and is subject to change. opacityscale Sets the opacityscale. The opacityscale must be an array containing arrays mapping a normalized value to an opacity value. At minimum, a mapping for the lowest (0) and highest (1) values are required. For example, `[[0, 1], [0.5, 0.2], [1, 1]]` means that higher/lower values would have higher opacity values and those in the middle would be more transparent Alternatively, `opacityscale` may be a palette name string of the following list: 'min', 'max', 'extremes' and 'uniform'. The default is 'uniform'. reversescale Reverses the color mapping if true. If true, `cmin` will correspond to the last color in the array and `cmax` will correspond to the first color. scene Sets a reference between this trace's 3D coordinate system and a 3D scene. If "scene" (the default value), the (x,y,z) coordinates refer to `layout.scene`. If "scene2", the (x,y,z) coordinates refer to `layout.scene2`, and so on. showlegend Determines whether or not an item corresponding to this trace is shown in the legend. showscale Determines whether or not a colorbar is displayed for this trace. slices :class:`plotly.graph_objects.volume.Slices` instance or dict with compatible properties spaceframe :class:`plotly.graph_objects.volume.Spaceframe` instance or dict with compatible properties stream :class:`plotly.graph_objects.volume.Stream` instance or dict with compatible properties surface :class:`plotly.graph_objects.volume.Surface` instance or dict with compatible properties text Sets the text elements associated with the vertices. If trace `hoverinfo` contains a "text" flag and "hovertext" is not set, these elements will be seen in the hover labels. textsrc Sets the source reference on Chart Studio Cloud for `text`. uid Assign an id to this trace, Use this to provide object constancy between traces during animations and transitions. uirevision Controls persistence of some user-driven changes to the trace: `constraintrange` in `parcoords` traces, as well as some `editable: true` modifications such as `name` and `colorbar.title`. Defaults to `layout.uirevision`. Note that other user-driven trace attribute changes are controlled by `layout` attributes: `trace.visible` is controlled by `layout.legend.uirevision`, `selectedpoints` is controlled by `layout.selectionrevision`, and `colorbar.(x|y)` (accessible with `config: {editable: true}`) is controlled by `layout.editrevision`. Trace changes are tracked by `uid`, which only falls back on trace index if no `uid` is provided. So if your app can add/remove traces before the end of the `data` array, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace a `uid` that stays with it as it moves. value Sets the 4th dimension (value) of the vertices. valuehoverformat Sets the hover text formatting rulefor `value` using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d 3/d3-format/tree/v1.4.5#d3-format.By default the values are formatted using generic number format. valuesrc Sets the source reference on Chart Studio Cloud for `value`. visible Determines whether or not this trace is visible. If "legendonly", the trace is not drawn, but can appear as a legend item (provided that the legend itself is visible). x Sets the X coordinates of the vertices on X axis. xhoverformat Sets the hover text formatting rulefor `x` using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-format/tree/v1.4.5#d3-format. And for dates see: https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format. We add two items to d3's date formatter: "%h" for half of the year as a decimal number as well as "%{n}f" for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat "%H~%M~%S.%2f" would display *09~15~23.46*By default the values are formatted using `xaxis.hoverformat`. xsrc Sets the source reference on Chart Studio Cloud for `x`. y Sets the Y coordinates of the vertices on Y axis. yhoverformat Sets the hover text formatting rulefor `y` using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-format/tree/v1.4.5#d3-format. And for dates see: https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format. We add two items to d3's date formatter: "%h" for half of the year as a decimal number as well as "%{n}f" for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat "%H~%M~%S.%2f" would display *09~15~23.46*By default the values are formatted using `yaxis.hoverformat`. ysrc Sets the source reference on Chart Studio Cloud for `y`. z Sets the Z coordinates of the vertices on Z axis. zhoverformat Sets the hover text formatting rulefor `z` using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-format/tree/v1.4.5#d3-format. And for dates see: https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format. We add two items to d3's date formatter: "%h" for half of the year as a decimal number as well as "%{n}f" for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat "%H~%M~%S.%2f" would display *09~15~23.46*By default the values are formatted using `zaxis.hoverformat`. zsrc Sets the source reference on Chart Studio Cloud for `z`. row : 'all', int or None (default) Subplot row index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all rows in the specified column(s). col : 'all', int or None (default) Subplot col index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all columns in the specified row(s). Returns ------- FigureWidget """ from plotly.graph_objs import Volume new_trace = Volume( autocolorscale=autocolorscale, caps=caps, cauto=cauto, cmax=cmax, cmid=cmid, cmin=cmin, coloraxis=coloraxis, colorbar=colorbar, colorscale=colorscale, contour=contour, customdata=customdata, customdatasrc=customdatasrc, flatshading=flatshading, hoverinfo=hoverinfo, hoverinfosrc=hoverinfosrc, hoverlabel=hoverlabel, hovertemplate=hovertemplate, hovertemplatesrc=hovertemplatesrc, hovertext=hovertext, hovertextsrc=hovertextsrc, ids=ids, idssrc=idssrc, isomax=isomax, isomin=isomin, legend=legend, legendgroup=legendgroup, legendgrouptitle=legendgrouptitle, legendrank=legendrank, legendwidth=legendwidth, lighting=lighting, lightposition=lightposition, meta=meta, metasrc=metasrc, name=name, opacity=opacity, opacityscale=opacityscale, reversescale=reversescale, scene=scene, showlegend=showlegend, showscale=showscale, slices=slices, spaceframe=spaceframe, stream=stream, surface=surface, text=text, textsrc=textsrc, uid=uid, uirevision=uirevision, value=value, valuehoverformat=valuehoverformat, valuesrc=valuesrc, visible=visible, x=x, xhoverformat=xhoverformat, xsrc=xsrc, y=y, yhoverformat=yhoverformat, ysrc=ysrc, z=z, zhoverformat=zhoverformat, zsrc=zsrc, **kwargs, ) return self.add_trace(new_trace, row=row, col=col) def add_waterfall( self, alignmentgroup=None, base=None, cliponaxis=None, connector=None, constraintext=None, customdata=None, customdatasrc=None, decreasing=None, dx=None, dy=None, hoverinfo=None, hoverinfosrc=None, hoverlabel=None, hovertemplate=None, hovertemplatesrc=None, hovertext=None, hovertextsrc=None, ids=None, idssrc=None, increasing=None, insidetextanchor=None, insidetextfont=None, legend=None, legendgroup=None, legendgrouptitle=None, legendrank=None, legendwidth=None, measure=None, measuresrc=None, meta=None, metasrc=None, name=None, offset=None, offsetgroup=None, offsetsrc=None, opacity=None, orientation=None, outsidetextfont=None, selectedpoints=None, showlegend=None, stream=None, text=None, textangle=None, textfont=None, textinfo=None, textposition=None, textpositionsrc=None, textsrc=None, texttemplate=None, texttemplatesrc=None, totals=None, uid=None, uirevision=None, visible=None, width=None, widthsrc=None, x=None, x0=None, xaxis=None, xhoverformat=None, xperiod=None, xperiod0=None, xperiodalignment=None, xsrc=None, y=None, y0=None, yaxis=None, yhoverformat=None, yperiod=None, yperiod0=None, yperiodalignment=None, ysrc=None, zorder=None, row=None, col=None, secondary_y=None, **kwargs, ) -> "FigureWidget": """ Add a new Waterfall trace Draws waterfall trace which is useful graph to displays the contribution of various elements (either positive or negative) in a bar chart. The data visualized by the span of the bars is set in `y` if `orientation` is set to "v" (the default) and the labels are set in `x`. By setting `orientation` to "h", the roles are interchanged. Parameters ---------- alignmentgroup Set several traces linked to the same position axis or matching axes to the same alignmentgroup. This controls whether bars compute their positional range dependently or independently. base Sets where the bar base is drawn (in position axis units). cliponaxis Determines whether the text nodes are clipped about the subplot axes. To show the text nodes above axis lines and tick labels, make sure to set `xaxis.layer` and `yaxis.layer` to *below traces*. connector :class:`plotly.graph_objects.waterfall.Connector` instance or dict with compatible properties constraintext Constrain the size of text inside or outside a bar to be no larger than the bar itself. customdata Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, "scatter" traces also appends customdata items in the markers DOM elements customdatasrc Sets the source reference on Chart Studio Cloud for `customdata`. decreasing :class:`plotly.graph_objects.waterfall.Decreasing` instance or dict with compatible properties dx Sets the x coordinate step. See `x0` for more info. dy Sets the y coordinate step. See `y0` for more info. hoverinfo Determines which trace information appear on hover. If `none` or `skip` are set, no information is displayed upon hovering. But, if `none` is set, click and hover events are still fired. hoverinfosrc Sets the source reference on Chart Studio Cloud for `hoverinfo`. hoverlabel :class:`plotly.graph_objects.waterfall.Hoverlabel` instance or dict with compatible properties hovertemplate Template string used for rendering the information that appear on hover box. Note that this will override `hoverinfo`. Variables are inserted using %{variable}, for example "y: %{y}" as well as %{xother}, {%_xother}, {%_xother_}, {%xother_}. When showing info for several points, "xother" will be added to those with different x positions from the first point. An underscore before or after "(x|y)other" will add a space on that side, only when this field is shown. Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. The variables available in `hovertemplate` are the ones emitted as event data described at this link https://plotly.com/javascript/plotlyjs-events/#event- data. Additionally, every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. Finally, the template string has access to variables `initial`, `delta` and `final`. Anything contained in tag `` is displayed in the secondary box, for example "{fullData.name}". To hide the secondary box completely, use an empty tag ``. hovertemplatesrc Sets the source reference on Chart Studio Cloud for `hovertemplate`. hovertext Sets hover text elements associated with each (x,y) pair. If a single string, the same string appears over all the data points. If an array of string, the items are mapped in order to the this trace's (x,y) coordinates. To be seen, trace `hoverinfo` must contain a "text" flag. hovertextsrc Sets the source reference on Chart Studio Cloud for `hovertext`. ids Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type. idssrc Sets the source reference on Chart Studio Cloud for `ids`. increasing :class:`plotly.graph_objects.waterfall.Increasing` instance or dict with compatible properties insidetextanchor Determines if texts are kept at center or start/end points in `textposition` "inside" mode. insidetextfont Sets the font used for `text` lying inside the bar. legend Sets the reference to a legend to show this trace in. References to these legends are "legend", "legend2", "legend3", etc. Settings for these legends are set in the layout, under `layout.legend`, `layout.legend2`, etc. legendgroup Sets the legend group for this trace. Traces and shapes part of the same legend group hide/show at the same time when toggling legend items. legendgrouptitle :class:`plotly.graph_objects.waterfall.Legendgrouptitle ` instance or dict with compatible properties legendrank Sets the legend rank for this trace. Items and groups with smaller ranks are presented on top/left side while with "reversed" `legend.traceorder` they are on bottom/right side. The default legendrank is 1000, so that you can use ranks less than 1000 to place certain items before all unranked items, and ranks greater than 1000 to go after all unranked items. When having unranked or equal rank items shapes would be displayed after traces i.e. according to their order in data and layout. legendwidth Sets the width (in px or fraction) of the legend for this trace. measure An array containing types of values. By default the values are considered as 'relative'. However; it is possible to use 'total' to compute the sums. Also 'absolute' could be applied to reset the computed total or to declare an initial value where needed. measuresrc Sets the source reference on Chart Studio Cloud for `measure`. meta Assigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace `name`, graph, axis and colorbar `title.text`, annotation `text` `rangeselector`, `updatemenues` and `sliders` `label` text all support `meta`. To access the trace `meta` values in an attribute in the same trace, simply use `%{meta[i]}` where `i` is the index or key of the `meta` item in question. To access trace `meta` in layout attributes, use `%{data[n[.meta[i]}` where `i` is the index or key of the `meta` and `n` is the trace index. metasrc Sets the source reference on Chart Studio Cloud for `meta`. name Sets the trace name. The trace name appears as the legend item and on hover. offset Shifts the position where the bar is drawn (in position axis units). In "group" barmode, traces that set "offset" will be excluded and drawn in "overlay" mode instead. offsetgroup Set several traces linked to the same position axis or matching axes to the same offsetgroup where bars of the same position coordinate will line up. offsetsrc Sets the source reference on Chart Studio Cloud for `offset`. opacity Sets the opacity of the trace. orientation Sets the orientation of the bars. With "v" ("h"), the value of the each bar spans along the vertical (horizontal). outsidetextfont Sets the font used for `text` lying outside the bar. selectedpoints Array containing integer indices of selected points. Has an effect only for traces that support selections. Note that an empty array means an empty selection where the `unselected` are turned on for all points, whereas, any other non-array values means no selection all where the `selected` and `unselected` styles have no effect. showlegend Determines whether or not an item corresponding to this trace is shown in the legend. stream :class:`plotly.graph_objects.waterfall.Stream` instance or dict with compatible properties text Sets text elements associated with each (x,y) pair. If a single string, the same string appears over all the data points. If an array of string, the items are mapped in order to the this trace's (x,y) coordinates. If trace `hoverinfo` contains a "text" flag and "hovertext" is not set, these elements will be seen in the hover labels. textangle Sets the angle of the tick labels with respect to the bar. For example, a `tickangle` of -90 draws the tick labels vertically. With "auto" the texts may automatically be rotated to fit with the maximum size in bars. textfont Sets the font used for `text`. textinfo Determines which trace information appear on the graph. In the case of having multiple waterfalls, totals are computed separately (per trace). textposition Specifies the location of the `text`. "inside" positions `text` inside, next to the bar end (rotated and scaled if needed). "outside" positions `text` outside, next to the bar end (scaled if needed), unless there is another bar stacked on this one, then the text gets pushed inside. "auto" tries to position `text` inside the bar, but if the bar is too small and no bar is stacked on this one the text is moved outside. If "none", no text appears. textpositionsrc Sets the source reference on Chart Studio Cloud for `textposition`. textsrc Sets the source reference on Chart Studio Cloud for `text`. texttemplate Template string used for rendering the information text that appear on points. Note that this will override `textinfo`. Variables are inserted using %{variable}, for example "y: %{y}". Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. Every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. Finally, the template string has access to variables `initial`, `delta`, `final` and `label`. texttemplatesrc Sets the source reference on Chart Studio Cloud for `texttemplate`. totals :class:`plotly.graph_objects.waterfall.Totals` instance or dict with compatible properties uid Assign an id to this trace, Use this to provide object constancy between traces during animations and transitions. uirevision Controls persistence of some user-driven changes to the trace: `constraintrange` in `parcoords` traces, as well as some `editable: true` modifications such as `name` and `colorbar.title`. Defaults to `layout.uirevision`. Note that other user-driven trace attribute changes are controlled by `layout` attributes: `trace.visible` is controlled by `layout.legend.uirevision`, `selectedpoints` is controlled by `layout.selectionrevision`, and `colorbar.(x|y)` (accessible with `config: {editable: true}`) is controlled by `layout.editrevision`. Trace changes are tracked by `uid`, which only falls back on trace index if no `uid` is provided. So if your app can add/remove traces before the end of the `data` array, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace a `uid` that stays with it as it moves. visible Determines whether or not this trace is visible. If "legendonly", the trace is not drawn, but can appear as a legend item (provided that the legend itself is visible). width Sets the bar width (in position axis units). widthsrc Sets the source reference on Chart Studio Cloud for `width`. x Sets the x coordinates. x0 Alternate to `x`. Builds a linear space of x coordinates. Use with `dx` where `x0` is the starting coordinate and `dx` the step. xaxis Sets a reference between this trace's x coordinates and a 2D cartesian x axis. If "x" (the default value), the x coordinates refer to `layout.xaxis`. If "x2", the x coordinates refer to `layout.xaxis2`, and so on. xhoverformat Sets the hover text formatting rulefor `x` using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-format/tree/v1.4.5#d3-format. And for dates see: https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format. We add two items to d3's date formatter: "%h" for half of the year as a decimal number as well as "%{n}f" for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat "%H~%M~%S.%2f" would display *09~15~23.46*By default the values are formatted using `xaxis.hoverformat`. xperiod Only relevant when the axis `type` is "date". Sets the period positioning in milliseconds or "M" on the x axis. Special values in the form of "M" could be used to declare the number of months. In this case `n` must be a positive integer. xperiod0 Only relevant when the axis `type` is "date". Sets the base for period positioning in milliseconds or date string on the x0 axis. When `x0period` is round number of weeks, the `x0period0` by default would be on a Sunday i.e. 2000-01-02, otherwise it would be at 2000-01-01. xperiodalignment Only relevant when the axis `type` is "date". Sets the alignment of data points on the x axis. xsrc Sets the source reference on Chart Studio Cloud for `x`. y Sets the y coordinates. y0 Alternate to `y`. Builds a linear space of y coordinates. Use with `dy` where `y0` is the starting coordinate and `dy` the step. yaxis Sets a reference between this trace's y coordinates and a 2D cartesian y axis. If "y" (the default value), the y coordinates refer to `layout.yaxis`. If "y2", the y coordinates refer to `layout.yaxis2`, and so on. yhoverformat Sets the hover text formatting rulefor `y` using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-format/tree/v1.4.5#d3-format. And for dates see: https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format. We add two items to d3's date formatter: "%h" for half of the year as a decimal number as well as "%{n}f" for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat "%H~%M~%S.%2f" would display *09~15~23.46*By default the values are formatted using `yaxis.hoverformat`. yperiod Only relevant when the axis `type` is "date". Sets the period positioning in milliseconds or "M" on the y axis. Special values in the form of "M" could be used to declare the number of months. In this case `n` must be a positive integer. yperiod0 Only relevant when the axis `type` is "date". Sets the base for period positioning in milliseconds or date string on the y0 axis. When `y0period` is round number of weeks, the `y0period0` by default would be on a Sunday i.e. 2000-01-02, otherwise it would be at 2000-01-01. yperiodalignment Only relevant when the axis `type` is "date". Sets the alignment of data points on the y axis. ysrc Sets the source reference on Chart Studio Cloud for `y`. zorder Sets the layer on which this trace is displayed, relative to other SVG traces on the same subplot. SVG traces with higher `zorder` appear in front of those with lower `zorder`. row : 'all', int or None (default) Subplot row index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all rows in the specified column(s). col : 'all', int or None (default) Subplot col index (starting from 1) for the trace to be added. Only valid if figure was created using `plotly.tools.make_subplots`.If 'all', addresses all columns in the specified row(s). secondary_y: boolean or None (default None) If True, associate this trace with the secondary y-axis of the subplot at the specified row and col. Only valid if all of the following conditions are satisfied: * The figure was created using `plotly.subplots.make_subplots`. * The row and col arguments are not None * The subplot at the specified row and col has type xy (which is the default) and secondary_y True. These properties are specified in the specs argument to make_subplots. See the make_subplots docstring for more info. Returns ------- FigureWidget """ from plotly.graph_objs import Waterfall new_trace = Waterfall( alignmentgroup=alignmentgroup, base=base, cliponaxis=cliponaxis, connector=connector, constraintext=constraintext, customdata=customdata, customdatasrc=customdatasrc, decreasing=decreasing, dx=dx, dy=dy, hoverinfo=hoverinfo, hoverinfosrc=hoverinfosrc, hoverlabel=hoverlabel, hovertemplate=hovertemplate, hovertemplatesrc=hovertemplatesrc, hovertext=hovertext, hovertextsrc=hovertextsrc, ids=ids, idssrc=idssrc, increasing=increasing, insidetextanchor=insidetextanchor, insidetextfont=insidetextfont, legend=legend, legendgroup=legendgroup, legendgrouptitle=legendgrouptitle, legendrank=legendrank, legendwidth=legendwidth, measure=measure, measuresrc=measuresrc, meta=meta, metasrc=metasrc, name=name, offset=offset, offsetgroup=offsetgroup, offsetsrc=offsetsrc, opacity=opacity, orientation=orientation, outsidetextfont=outsidetextfont, selectedpoints=selectedpoints, showlegend=showlegend, stream=stream, text=text, textangle=textangle, textfont=textfont, textinfo=textinfo, textposition=textposition, textpositionsrc=textpositionsrc, textsrc=textsrc, texttemplate=texttemplate, texttemplatesrc=texttemplatesrc, totals=totals, uid=uid, uirevision=uirevision, visible=visible, width=width, widthsrc=widthsrc, x=x, x0=x0, xaxis=xaxis, xhoverformat=xhoverformat, xperiod=xperiod, xperiod0=xperiod0, xperiodalignment=xperiodalignment, xsrc=xsrc, y=y, y0=y0, yaxis=yaxis, yhoverformat=yhoverformat, yperiod=yperiod, yperiod0=yperiod0, yperiodalignment=yperiodalignment, ysrc=ysrc, zorder=zorder, **kwargs, ) return self.add_trace(new_trace, row=row, col=col, secondary_y=secondary_y) def select_coloraxes(self, selector=None, row=None, col=None): """ Select coloraxis subplot objects from a particular subplot cell and/or coloraxis subplot objects that satisfy custom selection criteria. Parameters ---------- selector: dict, function, or None (default None) Dict to use as selection criteria. coloraxis objects will be selected if they contain properties corresponding to all of the dictionary's keys, with values that exactly match the supplied values. If None (the default), all coloraxis objects are selected. If a function, it must be a function accepting a single argument and returning a boolean. The function will be called on each coloraxis and those for which the function returned True will be in the selection. row, col: int or None (default None) Subplot row and column index of coloraxis objects to select. To select coloraxis objects by row and column, the Figure must have been created using plotly.subplots.make_subplots. If None (the default), all coloraxis objects are selected. Returns ------- generator Generator that iterates through all of the coloraxis objects that satisfy all of the specified selection criteria """ return self._select_layout_subplots_by_prefix("coloraxis", selector, row, col) def for_each_coloraxis( self, fn, selector=None, row=None, col=None ) -> "FigureWidget": """ Apply a function to all coloraxis objects that satisfy the specified selection criteria Parameters ---------- fn: Function that inputs a single coloraxis object. selector: dict, function, or None (default None) Dict to use as selection criteria. coloraxis objects will be selected if they contain properties corresponding to all of the dictionary's keys, with values that exactly match the supplied values. If None (the default), all coloraxis objects are selected. If a function, it must be a function accepting a single argument and returning a boolean. The function will be called on each coloraxis and those for which the function returned True will be in the selection. row, col: int or None (default None) Subplot row and column index of coloraxis objects to select. To select coloraxis objects by row and column, the Figure must have been created using plotly.subplots.make_subplots. If None (the default), all coloraxis objects are selected. Returns ------- self Returns the FigureWidget object that the method was called on """ for obj in self.select_coloraxes(selector=selector, row=row, col=col): fn(obj) return self def update_coloraxes( self, patch=None, selector=None, overwrite=False, row=None, col=None, **kwargs ) -> "FigureWidget": """ Perform a property update operation on all coloraxis objects that satisfy the specified selection criteria Parameters ---------- patch: dict Dictionary of property updates to be applied to all coloraxis objects that satisfy the selection criteria. selector: dict, function, or None (default None) Dict to use as selection criteria. coloraxis objects will be selected if they contain properties corresponding to all of the dictionary's keys, with values that exactly match the supplied values. If None (the default), all coloraxis objects are selected. If a function, it must be a function accepting a single argument and returning a boolean. The function will be called on each coloraxis and those for which the function returned True will be in the selection. overwrite: bool If True, overwrite existing properties. If False, apply updates to existing properties recursively, preserving existing properties that are not specified in the update operation. row, col: int or None (default None) Subplot row and column index of coloraxis objects to select. To select coloraxis objects by row and column, the Figure must have been created using plotly.subplots.make_subplots. If None (the default), all coloraxis objects are selected. **kwargs Additional property updates to apply to each selected coloraxis object. If a property is specified in both patch and in **kwargs then the one in **kwargs takes precedence. Returns ------- self Returns the FigureWidget object that the method was called on """ for obj in self.select_coloraxes(selector=selector, row=row, col=col): obj.update(patch, overwrite=overwrite, **kwargs) return self def select_geos(self, selector=None, row=None, col=None): """ Select geo subplot objects from a particular subplot cell and/or geo subplot objects that satisfy custom selection criteria. Parameters ---------- selector: dict, function, or None (default None) Dict to use as selection criteria. geo objects will be selected if they contain properties corresponding to all of the dictionary's keys, with values that exactly match the supplied values. If None (the default), all geo objects are selected. If a function, it must be a function accepting a single argument and returning a boolean. The function will be called on each geo and those for which the function returned True will be in the selection. row, col: int or None (default None) Subplot row and column index of geo objects to select. To select geo objects by row and column, the Figure must have been created using plotly.subplots.make_subplots. If None (the default), all geo objects are selected. Returns ------- generator Generator that iterates through all of the geo objects that satisfy all of the specified selection criteria """ return self._select_layout_subplots_by_prefix("geo", selector, row, col) def for_each_geo(self, fn, selector=None, row=None, col=None) -> "FigureWidget": """ Apply a function to all geo objects that satisfy the specified selection criteria Parameters ---------- fn: Function that inputs a single geo object. selector: dict, function, or None (default None) Dict to use as selection criteria. geo objects will be selected if they contain properties corresponding to all of the dictionary's keys, with values that exactly match the supplied values. If None (the default), all geo objects are selected. If a function, it must be a function accepting a single argument and returning a boolean. The function will be called on each geo and those for which the function returned True will be in the selection. row, col: int or None (default None) Subplot row and column index of geo objects to select. To select geo objects by row and column, the Figure must have been created using plotly.subplots.make_subplots. If None (the default), all geo objects are selected. Returns ------- self Returns the FigureWidget object that the method was called on """ for obj in self.select_geos(selector=selector, row=row, col=col): fn(obj) return self def update_geos( self, patch=None, selector=None, overwrite=False, row=None, col=None, **kwargs ) -> "FigureWidget": """ Perform a property update operation on all geo objects that satisfy the specified selection criteria Parameters ---------- patch: dict Dictionary of property updates to be applied to all geo objects that satisfy the selection criteria. selector: dict, function, or None (default None) Dict to use as selection criteria. geo objects will be selected if they contain properties corresponding to all of the dictionary's keys, with values that exactly match the supplied values. If None (the default), all geo objects are selected. If a function, it must be a function accepting a single argument and returning a boolean. The function will be called on each geo and those for which the function returned True will be in the selection. overwrite: bool If True, overwrite existing properties. If False, apply updates to existing properties recursively, preserving existing properties that are not specified in the update operation. row, col: int or None (default None) Subplot row and column index of geo objects to select. To select geo objects by row and column, the Figure must have been created using plotly.subplots.make_subplots. If None (the default), all geo objects are selected. **kwargs Additional property updates to apply to each selected geo object. If a property is specified in both patch and in **kwargs then the one in **kwargs takes precedence. Returns ------- self Returns the FigureWidget object that the method was called on """ for obj in self.select_geos(selector=selector, row=row, col=col): obj.update(patch, overwrite=overwrite, **kwargs) return self def select_legends(self, selector=None, row=None, col=None): """ Select legend subplot objects from a particular subplot cell and/or legend subplot objects that satisfy custom selection criteria. Parameters ---------- selector: dict, function, or None (default None) Dict to use as selection criteria. legend objects will be selected if they contain properties corresponding to all of the dictionary's keys, with values that exactly match the supplied values. If None (the default), all legend objects are selected. If a function, it must be a function accepting a single argument and returning a boolean. The function will be called on each legend and those for which the function returned True will be in the selection. row, col: int or None (default None) Subplot row and column index of legend objects to select. To select legend objects by row and column, the Figure must have been created using plotly.subplots.make_subplots. If None (the default), all legend objects are selected. Returns ------- generator Generator that iterates through all of the legend objects that satisfy all of the specified selection criteria """ return self._select_layout_subplots_by_prefix("legend", selector, row, col) def for_each_legend(self, fn, selector=None, row=None, col=None) -> "FigureWidget": """ Apply a function to all legend objects that satisfy the specified selection criteria Parameters ---------- fn: Function that inputs a single legend object. selector: dict, function, or None (default None) Dict to use as selection criteria. legend objects will be selected if they contain properties corresponding to all of the dictionary's keys, with values that exactly match the supplied values. If None (the default), all legend objects are selected. If a function, it must be a function accepting a single argument and returning a boolean. The function will be called on each legend and those for which the function returned True will be in the selection. row, col: int or None (default None) Subplot row and column index of legend objects to select. To select legend objects by row and column, the Figure must have been created using plotly.subplots.make_subplots. If None (the default), all legend objects are selected. Returns ------- self Returns the FigureWidget object that the method was called on """ for obj in self.select_legends(selector=selector, row=row, col=col): fn(obj) return self def update_legends( self, patch=None, selector=None, overwrite=False, row=None, col=None, **kwargs ) -> "FigureWidget": """ Perform a property update operation on all legend objects that satisfy the specified selection criteria Parameters ---------- patch: dict Dictionary of property updates to be applied to all legend objects that satisfy the selection criteria. selector: dict, function, or None (default None) Dict to use as selection criteria. legend objects will be selected if they contain properties corresponding to all of the dictionary's keys, with values that exactly match the supplied values. If None (the default), all legend objects are selected. If a function, it must be a function accepting a single argument and returning a boolean. The function will be called on each legend and those for which the function returned True will be in the selection. overwrite: bool If True, overwrite existing properties. If False, apply updates to existing properties recursively, preserving existing properties that are not specified in the update operation. row, col: int or None (default None) Subplot row and column index of legend objects to select. To select legend objects by row and column, the Figure must have been created using plotly.subplots.make_subplots. If None (the default), all legend objects are selected. **kwargs Additional property updates to apply to each selected legend object. If a property is specified in both patch and in **kwargs then the one in **kwargs takes precedence. Returns ------- self Returns the FigureWidget object that the method was called on """ for obj in self.select_legends(selector=selector, row=row, col=col): obj.update(patch, overwrite=overwrite, **kwargs) return self def select_maps(self, selector=None, row=None, col=None): """ Select map subplot objects from a particular subplot cell and/or map subplot objects that satisfy custom selection criteria. Parameters ---------- selector: dict, function, or None (default None) Dict to use as selection criteria. map objects will be selected if they contain properties corresponding to all of the dictionary's keys, with values that exactly match the supplied values. If None (the default), all map objects are selected. If a function, it must be a function accepting a single argument and returning a boolean. The function will be called on each map and those for which the function returned True will be in the selection. row, col: int or None (default None) Subplot row and column index of map objects to select. To select map objects by row and column, the Figure must have been created using plotly.subplots.make_subplots. If None (the default), all map objects are selected. Returns ------- generator Generator that iterates through all of the map objects that satisfy all of the specified selection criteria """ return self._select_layout_subplots_by_prefix("map", selector, row, col) def for_each_map(self, fn, selector=None, row=None, col=None) -> "FigureWidget": """ Apply a function to all map objects that satisfy the specified selection criteria Parameters ---------- fn: Function that inputs a single map object. selector: dict, function, or None (default None) Dict to use as selection criteria. map objects will be selected if they contain properties corresponding to all of the dictionary's keys, with values that exactly match the supplied values. If None (the default), all map objects are selected. If a function, it must be a function accepting a single argument and returning a boolean. The function will be called on each map and those for which the function returned True will be in the selection. row, col: int or None (default None) Subplot row and column index of map objects to select. To select map objects by row and column, the Figure must have been created using plotly.subplots.make_subplots. If None (the default), all map objects are selected. Returns ------- self Returns the FigureWidget object that the method was called on """ for obj in self.select_maps(selector=selector, row=row, col=col): fn(obj) return self def update_maps( self, patch=None, selector=None, overwrite=False, row=None, col=None, **kwargs ) -> "FigureWidget": """ Perform a property update operation on all map objects that satisfy the specified selection criteria Parameters ---------- patch: dict Dictionary of property updates to be applied to all map objects that satisfy the selection criteria. selector: dict, function, or None (default None) Dict to use as selection criteria. map objects will be selected if they contain properties corresponding to all of the dictionary's keys, with values that exactly match the supplied values. If None (the default), all map objects are selected. If a function, it must be a function accepting a single argument and returning a boolean. The function will be called on each map and those for which the function returned True will be in the selection. overwrite: bool If True, overwrite existing properties. If False, apply updates to existing properties recursively, preserving existing properties that are not specified in the update operation. row, col: int or None (default None) Subplot row and column index of map objects to select. To select map objects by row and column, the Figure must have been created using plotly.subplots.make_subplots. If None (the default), all map objects are selected. **kwargs Additional property updates to apply to each selected map object. If a property is specified in both patch and in **kwargs then the one in **kwargs takes precedence. Returns ------- self Returns the FigureWidget object that the method was called on """ for obj in self.select_maps(selector=selector, row=row, col=col): obj.update(patch, overwrite=overwrite, **kwargs) return self def select_mapboxes(self, selector=None, row=None, col=None): """ Select mapbox subplot objects from a particular subplot cell and/or mapbox subplot objects that satisfy custom selection criteria. Parameters ---------- selector: dict, function, or None (default None) Dict to use as selection criteria. mapbox objects will be selected if they contain properties corresponding to all of the dictionary's keys, with values that exactly match the supplied values. If None (the default), all mapbox objects are selected. If a function, it must be a function accepting a single argument and returning a boolean. The function will be called on each mapbox and those for which the function returned True will be in the selection. row, col: int or None (default None) Subplot row and column index of mapbox objects to select. To select mapbox objects by row and column, the Figure must have been created using plotly.subplots.make_subplots. If None (the default), all mapbox objects are selected. Returns ------- generator Generator that iterates through all of the mapbox objects that satisfy all of the specified selection criteria """ return self._select_layout_subplots_by_prefix("mapbox", selector, row, col) def for_each_mapbox(self, fn, selector=None, row=None, col=None) -> "FigureWidget": """ Apply a function to all mapbox objects that satisfy the specified selection criteria Parameters ---------- fn: Function that inputs a single mapbox object. selector: dict, function, or None (default None) Dict to use as selection criteria. mapbox objects will be selected if they contain properties corresponding to all of the dictionary's keys, with values that exactly match the supplied values. If None (the default), all mapbox objects are selected. If a function, it must be a function accepting a single argument and returning a boolean. The function will be called on each mapbox and those for which the function returned True will be in the selection. row, col: int or None (default None) Subplot row and column index of mapbox objects to select. To select mapbox objects by row and column, the Figure must have been created using plotly.subplots.make_subplots. If None (the default), all mapbox objects are selected. Returns ------- self Returns the FigureWidget object that the method was called on """ for obj in self.select_mapboxes(selector=selector, row=row, col=col): fn(obj) return self def update_mapboxes( self, patch=None, selector=None, overwrite=False, row=None, col=None, **kwargs ) -> "FigureWidget": """ Perform a property update operation on all mapbox objects that satisfy the specified selection criteria Parameters ---------- patch: dict Dictionary of property updates to be applied to all mapbox objects that satisfy the selection criteria. selector: dict, function, or None (default None) Dict to use as selection criteria. mapbox objects will be selected if they contain properties corresponding to all of the dictionary's keys, with values that exactly match the supplied values. If None (the default), all mapbox objects are selected. If a function, it must be a function accepting a single argument and returning a boolean. The function will be called on each mapbox and those for which the function returned True will be in the selection. overwrite: bool If True, overwrite existing properties. If False, apply updates to existing properties recursively, preserving existing properties that are not specified in the update operation. row, col: int or None (default None) Subplot row and column index of mapbox objects to select. To select mapbox objects by row and column, the Figure must have been created using plotly.subplots.make_subplots. If None (the default), all mapbox objects are selected. **kwargs Additional property updates to apply to each selected mapbox object. If a property is specified in both patch and in **kwargs then the one in **kwargs takes precedence. Returns ------- self Returns the FigureWidget object that the method was called on """ for obj in self.select_mapboxes(selector=selector, row=row, col=col): obj.update(patch, overwrite=overwrite, **kwargs) return self def select_polars(self, selector=None, row=None, col=None): """ Select polar subplot objects from a particular subplot cell and/or polar subplot objects that satisfy custom selection criteria. Parameters ---------- selector: dict, function, or None (default None) Dict to use as selection criteria. polar objects will be selected if they contain properties corresponding to all of the dictionary's keys, with values that exactly match the supplied values. If None (the default), all polar objects are selected. If a function, it must be a function accepting a single argument and returning a boolean. The function will be called on each polar and those for which the function returned True will be in the selection. row, col: int or None (default None) Subplot row and column index of polar objects to select. To select polar objects by row and column, the Figure must have been created using plotly.subplots.make_subplots. If None (the default), all polar objects are selected. Returns ------- generator Generator that iterates through all of the polar objects that satisfy all of the specified selection criteria """ return self._select_layout_subplots_by_prefix("polar", selector, row, col) def for_each_polar(self, fn, selector=None, row=None, col=None) -> "FigureWidget": """ Apply a function to all polar objects that satisfy the specified selection criteria Parameters ---------- fn: Function that inputs a single polar object. selector: dict, function, or None (default None) Dict to use as selection criteria. polar objects will be selected if they contain properties corresponding to all of the dictionary's keys, with values that exactly match the supplied values. If None (the default), all polar objects are selected. If a function, it must be a function accepting a single argument and returning a boolean. The function will be called on each polar and those for which the function returned True will be in the selection. row, col: int or None (default None) Subplot row and column index of polar objects to select. To select polar objects by row and column, the Figure must have been created using plotly.subplots.make_subplots. If None (the default), all polar objects are selected. Returns ------- self Returns the FigureWidget object that the method was called on """ for obj in self.select_polars(selector=selector, row=row, col=col): fn(obj) return self def update_polars( self, patch=None, selector=None, overwrite=False, row=None, col=None, **kwargs ) -> "FigureWidget": """ Perform a property update operation on all polar objects that satisfy the specified selection criteria Parameters ---------- patch: dict Dictionary of property updates to be applied to all polar objects that satisfy the selection criteria. selector: dict, function, or None (default None) Dict to use as selection criteria. polar objects will be selected if they contain properties corresponding to all of the dictionary's keys, with values that exactly match the supplied values. If None (the default), all polar objects are selected. If a function, it must be a function accepting a single argument and returning a boolean. The function will be called on each polar and those for which the function returned True will be in the selection. overwrite: bool If True, overwrite existing properties. If False, apply updates to existing properties recursively, preserving existing properties that are not specified in the update operation. row, col: int or None (default None) Subplot row and column index of polar objects to select. To select polar objects by row and column, the Figure must have been created using plotly.subplots.make_subplots. If None (the default), all polar objects are selected. **kwargs Additional property updates to apply to each selected polar object. If a property is specified in both patch and in **kwargs then the one in **kwargs takes precedence. Returns ------- self Returns the FigureWidget object that the method was called on """ for obj in self.select_polars(selector=selector, row=row, col=col): obj.update(patch, overwrite=overwrite, **kwargs) return self def select_scenes(self, selector=None, row=None, col=None): """ Select scene subplot objects from a particular subplot cell and/or scene subplot objects that satisfy custom selection criteria. Parameters ---------- selector: dict, function, or None (default None) Dict to use as selection criteria. scene objects will be selected if they contain properties corresponding to all of the dictionary's keys, with values that exactly match the supplied values. If None (the default), all scene objects are selected. If a function, it must be a function accepting a single argument and returning a boolean. The function will be called on each scene and those for which the function returned True will be in the selection. row, col: int or None (default None) Subplot row and column index of scene objects to select. To select scene objects by row and column, the Figure must have been created using plotly.subplots.make_subplots. If None (the default), all scene objects are selected. Returns ------- generator Generator that iterates through all of the scene objects that satisfy all of the specified selection criteria """ return self._select_layout_subplots_by_prefix("scene", selector, row, col) def for_each_scene(self, fn, selector=None, row=None, col=None) -> "FigureWidget": """ Apply a function to all scene objects that satisfy the specified selection criteria Parameters ---------- fn: Function that inputs a single scene object. selector: dict, function, or None (default None) Dict to use as selection criteria. scene objects will be selected if they contain properties corresponding to all of the dictionary's keys, with values that exactly match the supplied values. If None (the default), all scene objects are selected. If a function, it must be a function accepting a single argument and returning a boolean. The function will be called on each scene and those for which the function returned True will be in the selection. row, col: int or None (default None) Subplot row and column index of scene objects to select. To select scene objects by row and column, the Figure must have been created using plotly.subplots.make_subplots. If None (the default), all scene objects are selected. Returns ------- self Returns the FigureWidget object that the method was called on """ for obj in self.select_scenes(selector=selector, row=row, col=col): fn(obj) return self def update_scenes( self, patch=None, selector=None, overwrite=False, row=None, col=None, **kwargs ) -> "FigureWidget": """ Perform a property update operation on all scene objects that satisfy the specified selection criteria Parameters ---------- patch: dict Dictionary of property updates to be applied to all scene objects that satisfy the selection criteria. selector: dict, function, or None (default None) Dict to use as selection criteria. scene objects will be selected if they contain properties corresponding to all of the dictionary's keys, with values that exactly match the supplied values. If None (the default), all scene objects are selected. If a function, it must be a function accepting a single argument and returning a boolean. The function will be called on each scene and those for which the function returned True will be in the selection. overwrite: bool If True, overwrite existing properties. If False, apply updates to existing properties recursively, preserving existing properties that are not specified in the update operation. row, col: int or None (default None) Subplot row and column index of scene objects to select. To select scene objects by row and column, the Figure must have been created using plotly.subplots.make_subplots. If None (the default), all scene objects are selected. **kwargs Additional property updates to apply to each selected scene object. If a property is specified in both patch and in **kwargs then the one in **kwargs takes precedence. Returns ------- self Returns the FigureWidget object that the method was called on """ for obj in self.select_scenes(selector=selector, row=row, col=col): obj.update(patch, overwrite=overwrite, **kwargs) return self def select_smiths(self, selector=None, row=None, col=None): """ Select smith subplot objects from a particular subplot cell and/or smith subplot objects that satisfy custom selection criteria. Parameters ---------- selector: dict, function, or None (default None) Dict to use as selection criteria. smith objects will be selected if they contain properties corresponding to all of the dictionary's keys, with values that exactly match the supplied values. If None (the default), all smith objects are selected. If a function, it must be a function accepting a single argument and returning a boolean. The function will be called on each smith and those for which the function returned True will be in the selection. row, col: int or None (default None) Subplot row and column index of smith objects to select. To select smith objects by row and column, the Figure must have been created using plotly.subplots.make_subplots. If None (the default), all smith objects are selected. Returns ------- generator Generator that iterates through all of the smith objects that satisfy all of the specified selection criteria """ return self._select_layout_subplots_by_prefix("smith", selector, row, col) def for_each_smith(self, fn, selector=None, row=None, col=None) -> "FigureWidget": """ Apply a function to all smith objects that satisfy the specified selection criteria Parameters ---------- fn: Function that inputs a single smith object. selector: dict, function, or None (default None) Dict to use as selection criteria. smith objects will be selected if they contain properties corresponding to all of the dictionary's keys, with values that exactly match the supplied values. If None (the default), all smith objects are selected. If a function, it must be a function accepting a single argument and returning a boolean. The function will be called on each smith and those for which the function returned True will be in the selection. row, col: int or None (default None) Subplot row and column index of smith objects to select. To select smith objects by row and column, the Figure must have been created using plotly.subplots.make_subplots. If None (the default), all smith objects are selected. Returns ------- self Returns the FigureWidget object that the method was called on """ for obj in self.select_smiths(selector=selector, row=row, col=col): fn(obj) return self def update_smiths( self, patch=None, selector=None, overwrite=False, row=None, col=None, **kwargs ) -> "FigureWidget": """ Perform a property update operation on all smith objects that satisfy the specified selection criteria Parameters ---------- patch: dict Dictionary of property updates to be applied to all smith objects that satisfy the selection criteria. selector: dict, function, or None (default None) Dict to use as selection criteria. smith objects will be selected if they contain properties corresponding to all of the dictionary's keys, with values that exactly match the supplied values. If None (the default), all smith objects are selected. If a function, it must be a function accepting a single argument and returning a boolean. The function will be called on each smith and those for which the function returned True will be in the selection. overwrite: bool If True, overwrite existing properties. If False, apply updates to existing properties recursively, preserving existing properties that are not specified in the update operation. row, col: int or None (default None) Subplot row and column index of smith objects to select. To select smith objects by row and column, the Figure must have been created using plotly.subplots.make_subplots. If None (the default), all smith objects are selected. **kwargs Additional property updates to apply to each selected smith object. If a property is specified in both patch and in **kwargs then the one in **kwargs takes precedence. Returns ------- self Returns the FigureWidget object that the method was called on """ for obj in self.select_smiths(selector=selector, row=row, col=col): obj.update(patch, overwrite=overwrite, **kwargs) return self def select_ternaries(self, selector=None, row=None, col=None): """ Select ternary subplot objects from a particular subplot cell and/or ternary subplot objects that satisfy custom selection criteria. Parameters ---------- selector: dict, function, or None (default None) Dict to use as selection criteria. ternary objects will be selected if they contain properties corresponding to all of the dictionary's keys, with values that exactly match the supplied values. If None (the default), all ternary objects are selected. If a function, it must be a function accepting a single argument and returning a boolean. The function will be called on each ternary and those for which the function returned True will be in the selection. row, col: int or None (default None) Subplot row and column index of ternary objects to select. To select ternary objects by row and column, the Figure must have been created using plotly.subplots.make_subplots. If None (the default), all ternary objects are selected. Returns ------- generator Generator that iterates through all of the ternary objects that satisfy all of the specified selection criteria """ return self._select_layout_subplots_by_prefix("ternary", selector, row, col) def for_each_ternary(self, fn, selector=None, row=None, col=None) -> "FigureWidget": """ Apply a function to all ternary objects that satisfy the specified selection criteria Parameters ---------- fn: Function that inputs a single ternary object. selector: dict, function, or None (default None) Dict to use as selection criteria. ternary objects will be selected if they contain properties corresponding to all of the dictionary's keys, with values that exactly match the supplied values. If None (the default), all ternary objects are selected. If a function, it must be a function accepting a single argument and returning a boolean. The function will be called on each ternary and those for which the function returned True will be in the selection. row, col: int or None (default None) Subplot row and column index of ternary objects to select. To select ternary objects by row and column, the Figure must have been created using plotly.subplots.make_subplots. If None (the default), all ternary objects are selected. Returns ------- self Returns the FigureWidget object that the method was called on """ for obj in self.select_ternaries(selector=selector, row=row, col=col): fn(obj) return self def update_ternaries( self, patch=None, selector=None, overwrite=False, row=None, col=None, **kwargs ) -> "FigureWidget": """ Perform a property update operation on all ternary objects that satisfy the specified selection criteria Parameters ---------- patch: dict Dictionary of property updates to be applied to all ternary objects that satisfy the selection criteria. selector: dict, function, or None (default None) Dict to use as selection criteria. ternary objects will be selected if they contain properties corresponding to all of the dictionary's keys, with values that exactly match the supplied values. If None (the default), all ternary objects are selected. If a function, it must be a function accepting a single argument and returning a boolean. The function will be called on each ternary and those for which the function returned True will be in the selection. overwrite: bool If True, overwrite existing properties. If False, apply updates to existing properties recursively, preserving existing properties that are not specified in the update operation. row, col: int or None (default None) Subplot row and column index of ternary objects to select. To select ternary objects by row and column, the Figure must have been created using plotly.subplots.make_subplots. If None (the default), all ternary objects are selected. **kwargs Additional property updates to apply to each selected ternary object. If a property is specified in both patch and in **kwargs then the one in **kwargs takes precedence. Returns ------- self Returns the FigureWidget object that the method was called on """ for obj in self.select_ternaries(selector=selector, row=row, col=col): obj.update(patch, overwrite=overwrite, **kwargs) return self def select_xaxes(self, selector=None, row=None, col=None): """ Select xaxis subplot objects from a particular subplot cell and/or xaxis subplot objects that satisfy custom selection criteria. Parameters ---------- selector: dict, function, or None (default None) Dict to use as selection criteria. xaxis objects will be selected if they contain properties corresponding to all of the dictionary's keys, with values that exactly match the supplied values. If None (the default), all xaxis objects are selected. If a function, it must be a function accepting a single argument and returning a boolean. The function will be called on each xaxis and those for which the function returned True will be in the selection. row, col: int or None (default None) Subplot row and column index of xaxis objects to select. To select xaxis objects by row and column, the Figure must have been created using plotly.subplots.make_subplots. If None (the default), all xaxis objects are selected. Returns ------- generator Generator that iterates through all of the xaxis objects that satisfy all of the specified selection criteria """ return self._select_layout_subplots_by_prefix("xaxis", selector, row, col) def for_each_xaxis(self, fn, selector=None, row=None, col=None) -> "FigureWidget": """ Apply a function to all xaxis objects that satisfy the specified selection criteria Parameters ---------- fn: Function that inputs a single xaxis object. selector: dict, function, or None (default None) Dict to use as selection criteria. xaxis objects will be selected if they contain properties corresponding to all of the dictionary's keys, with values that exactly match the supplied values. If None (the default), all xaxis objects are selected. If a function, it must be a function accepting a single argument and returning a boolean. The function will be called on each xaxis and those for which the function returned True will be in the selection. row, col: int or None (default None) Subplot row and column index of xaxis objects to select. To select xaxis objects by row and column, the Figure must have been created using plotly.subplots.make_subplots. If None (the default), all xaxis objects are selected. Returns ------- self Returns the FigureWidget object that the method was called on """ for obj in self.select_xaxes(selector=selector, row=row, col=col): fn(obj) return self def update_xaxes( self, patch=None, selector=None, overwrite=False, row=None, col=None, **kwargs ) -> "FigureWidget": """ Perform a property update operation on all xaxis objects that satisfy the specified selection criteria Parameters ---------- patch: dict Dictionary of property updates to be applied to all xaxis objects that satisfy the selection criteria. selector: dict, function, or None (default None) Dict to use as selection criteria. xaxis objects will be selected if they contain properties corresponding to all of the dictionary's keys, with values that exactly match the supplied values. If None (the default), all xaxis objects are selected. If a function, it must be a function accepting a single argument and returning a boolean. The function will be called on each xaxis and those for which the function returned True will be in the selection. overwrite: bool If True, overwrite existing properties. If False, apply updates to existing properties recursively, preserving existing properties that are not specified in the update operation. row, col: int or None (default None) Subplot row and column index of xaxis objects to select. To select xaxis objects by row and column, the Figure must have been created using plotly.subplots.make_subplots. If None (the default), all xaxis objects are selected. **kwargs Additional property updates to apply to each selected xaxis object. If a property is specified in both patch and in **kwargs then the one in **kwargs takes precedence. Returns ------- self Returns the FigureWidget object that the method was called on """ for obj in self.select_xaxes(selector=selector, row=row, col=col): obj.update(patch, overwrite=overwrite, **kwargs) return self def select_yaxes(self, selector=None, row=None, col=None, secondary_y=None): """ Select yaxis subplot objects from a particular subplot cell and/or yaxis subplot objects that satisfy custom selection criteria. Parameters ---------- selector: dict, function, or None (default None) Dict to use as selection criteria. yaxis objects will be selected if they contain properties corresponding to all of the dictionary's keys, with values that exactly match the supplied values. If None (the default), all yaxis objects are selected. If a function, it must be a function accepting a single argument and returning a boolean. The function will be called on each yaxis and those for which the function returned True will be in the selection. row, col: int or None (default None) Subplot row and column index of yaxis objects to select. To select yaxis objects by row and column, the Figure must have been created using plotly.subplots.make_subplots. If None (the default), all yaxis objects are selected. secondary_y: boolean or None (default None) * If True, only select yaxis objects associated with the secondary y-axis of the subplot. * If False, only select yaxis objects associated with the primary y-axis of the subplot. * If None (the default), do not filter yaxis objects based on a secondary y-axis condition. To select yaxis objects by secondary y-axis, the Figure must have been created using plotly.subplots.make_subplots. See the docstring for the specs argument to make_subplots for more info on creating subplots with secondary y-axes. Returns ------- generator Generator that iterates through all of the yaxis objects that satisfy all of the specified selection criteria """ return self._select_layout_subplots_by_prefix( "yaxis", selector, row, col, secondary_y=secondary_y ) def for_each_yaxis( self, fn, selector=None, row=None, col=None, secondary_y=None ) -> "FigureWidget": """ Apply a function to all yaxis objects that satisfy the specified selection criteria Parameters ---------- fn: Function that inputs a single yaxis object. selector: dict, function, or None (default None) Dict to use as selection criteria. yaxis objects will be selected if they contain properties corresponding to all of the dictionary's keys, with values that exactly match the supplied values. If None (the default), all yaxis objects are selected. If a function, it must be a function accepting a single argument and returning a boolean. The function will be called on each yaxis and those for which the function returned True will be in the selection. row, col: int or None (default None) Subplot row and column index of yaxis objects to select. To select yaxis objects by row and column, the Figure must have been created using plotly.subplots.make_subplots. If None (the default), all yaxis objects are selected. secondary_y: boolean or None (default None) * If True, only select yaxis objects associated with the secondary y-axis of the subplot. * If False, only select yaxis objects associated with the primary y-axis of the subplot. * If None (the default), do not filter yaxis objects based on a secondary y-axis condition. To select yaxis objects by secondary y-axis, the Figure must have been created using plotly.subplots.make_subplots. See the docstring for the specs argument to make_subplots for more info on creating subplots with secondary y-axes. Returns ------- self Returns the FigureWidget object that the method was called on """ for obj in self.select_yaxes( selector=selector, row=row, col=col, secondary_y=secondary_y ): fn(obj) return self def update_yaxes( self, patch=None, selector=None, overwrite=False, row=None, col=None, secondary_y=None, **kwargs, ) -> "FigureWidget": """ Perform a property update operation on all yaxis objects that satisfy the specified selection criteria Parameters ---------- patch: dict Dictionary of property updates to be applied to all yaxis objects that satisfy the selection criteria. selector: dict, function, or None (default None) Dict to use as selection criteria. yaxis objects will be selected if they contain properties corresponding to all of the dictionary's keys, with values that exactly match the supplied values. If None (the default), all yaxis objects are selected. If a function, it must be a function accepting a single argument and returning a boolean. The function will be called on each yaxis and those for which the function returned True will be in the selection. overwrite: bool If True, overwrite existing properties. If False, apply updates to existing properties recursively, preserving existing properties that are not specified in the update operation. row, col: int or None (default None) Subplot row and column index of yaxis objects to select. To select yaxis objects by row and column, the Figure must have been created using plotly.subplots.make_subplots. If None (the default), all yaxis objects are selected. secondary_y: boolean or None (default None) * If True, only select yaxis objects associated with the secondary y-axis of the subplot. * If False, only select yaxis objects associated with the primary y-axis of the subplot. * If None (the default), do not filter yaxis objects based on a secondary y-axis condition. To select yaxis objects by secondary y-axis, the Figure must have been created using plotly.subplots.make_subplots. See the docstring for the specs argument to make_subplots for more info on creating subplots with secondary y-axes. **kwargs Additional property updates to apply to each selected yaxis object. If a property is specified in both patch and in **kwargs then the one in **kwargs takes precedence. Returns ------- self Returns the FigureWidget object that the method was called on """ for obj in self.select_yaxes( selector=selector, row=row, col=col, secondary_y=secondary_y ): obj.update(patch, overwrite=overwrite, **kwargs) return self def select_annotations(self, selector=None, row=None, col=None, secondary_y=None): """ Select annotations from a particular subplot cell and/or annotations that satisfy custom selection criteria. Parameters ---------- selector: dict, function, int, str, or None (default None) Dict to use as selection criteria. Annotations will be selected if they contain properties corresponding to all of the dictionary's keys, with values that exactly match the supplied values. If None (the default), all annotations are selected. If a function, it must be a function accepting a single argument and returning a boolean. The function will be called on each annotation and those for which the function returned True will be in the selection. If an int N, the Nth annotation matching row and col will be selected (N can be negative). If a string S, the selector is equivalent to dict(type=S). row, col: int or None (default None) Subplot row and column index of annotations to select. To select annotations by row and column, the Figure must have been created using plotly.subplots.make_subplots. To select only those annotation that are in paper coordinates, set row and col to the string 'paper'. If None (the default), all annotations are selected. secondary_y: boolean or None (default None) * If True, only select annotations associated with the secondary y-axis of the subplot. * If False, only select annotations associated with the primary y-axis of the subplot. * If None (the default), do not filter annotations based on secondary y-axis. To select annotations by secondary y-axis, the Figure must have been created using plotly.subplots.make_subplots. See the docstring for the specs argument to make_subplots for more info on creating subplots with secondary y-axes. Returns ------- generator Generator that iterates through all of the annotations that satisfy all of the specified selection criteria """ return self._select_annotations_like( "annotations", selector=selector, row=row, col=col, secondary_y=secondary_y ) def for_each_annotation( self, fn, selector=None, row=None, col=None, secondary_y=None ): """ Apply a function to all annotations that satisfy the specified selection criteria Parameters ---------- fn: Function that inputs a single annotation object. selector: dict, function, int, str or None (default None) Dict to use as selection criteria. Traces will be selected if they contain properties corresponding to all of the dictionary's keys, with values that exactly match the supplied values. If None (the default), all annotations are selected. If a function, it must be a function accepting a single argument and returning a boolean. The function will be called on each annotation and those for which the function returned True will be in the selection. If an int N, the Nth annotation matching row and col will be selected (N can be negative). If a string S, the selector is equivalent to dict(type=S). row, col: int or None (default None) Subplot row and column index of annotations to select. To select annotations by row and column, the Figure must have been created using plotly.subplots.make_subplots. To select only those annotations that are in paper coordinates, set row and col to the string 'paper'. If None (the default), all annotations are selected. secondary_y: boolean or None (default None) * If True, only select annotations associated with the secondary y-axis of the subplot. * If False, only select annotations associated with the primary y-axis of the subplot. * If None (the default), do not filter annotations based on secondary y-axis. To select annotations by secondary y-axis, the Figure must have been created using plotly.subplots.make_subplots. See the docstring for the specs argument to make_subplots for more info on creating subplots with secondary y-axes. Returns ------- self Returns the FigureWidget object that the method was called on """ for obj in self._select_annotations_like( prop="annotations", selector=selector, row=row, col=col, secondary_y=secondary_y, ): fn(obj) return self def update_annotations( self, patch=None, selector=None, row=None, col=None, secondary_y=None, **kwargs ) -> "FigureWidget": """ Perform a property update operation on all annotations that satisfy the specified selection criteria Parameters ---------- patch: dict or None (default None) Dictionary of property updates to be applied to all annotations that satisfy the selection criteria. selector: dict, function, int, str or None (default None) Dict to use as selection criteria. Traces will be selected if they contain properties corresponding to all of the dictionary's keys, with values that exactly match the supplied values. If None (the default), all annotations are selected. If a function, it must be a function accepting a single argument and returning a boolean. The function will be called on each annotation and those for which the function returned True will be in the selection. If an int N, the Nth annotation matching row and col will be selected (N can be negative). If a string S, the selector is equivalent to dict(type=S). row, col: int or None (default None) Subplot row and column index of annotations to select. To select annotations by row and column, the Figure must have been created using plotly.subplots.make_subplots. To select only those annotation that are in paper coordinates, set row and col to the string 'paper'. If None (the default), all annotations are selected. secondary_y: boolean or None (default None) * If True, only select annotations associated with the secondary y-axis of the subplot. * If False, only select annotations associated with the primary y-axis of the subplot. * If None (the default), do not filter annotations based on secondary y-axis. To select annotations by secondary y-axis, the Figure must have been created using plotly.subplots.make_subplots. See the docstring for the specs argument to make_subplots for more info on creating subplots with secondary y-axes. **kwargs Additional property updates to apply to each selected annotation. If a property is specified in both patch and in **kwargs then the one in **kwargs takes precedence. Returns ------- self Returns the FigureWidget object that the method was called on """ for obj in self._select_annotations_like( prop="annotations", selector=selector, row=row, col=col, secondary_y=secondary_y, ): obj.update(patch, **kwargs) return self def add_annotation( self, arg=None, align=None, arrowcolor=None, arrowhead=None, arrowside=None, arrowsize=None, arrowwidth=None, ax=None, axref=None, ay=None, ayref=None, bgcolor=None, bordercolor=None, borderpad=None, borderwidth=None, captureevents=None, clicktoshow=None, font=None, height=None, hoverlabel=None, hovertext=None, name=None, opacity=None, showarrow=None, standoff=None, startarrowhead=None, startarrowsize=None, startstandoff=None, templateitemname=None, text=None, textangle=None, valign=None, visible=None, width=None, x=None, xanchor=None, xclick=None, xref=None, xshift=None, y=None, yanchor=None, yclick=None, yref=None, yshift=None, row=None, col=None, secondary_y=None, exclude_empty_subplots=None, **kwargs, ) -> "FigureWidget": """ Create and add a new annotation to the figure's layout Parameters ---------- arg instance of Annotation or dict with compatible properties align Sets the horizontal alignment of the `text` within the box. Has an effect only if `text` spans two or more lines (i.e. `text` contains one or more
HTML tags) or if an explicit width is set to override the text width. arrowcolor Sets the color of the annotation arrow. arrowhead Sets the end annotation arrow head style. arrowside Sets the annotation arrow head position. arrowsize Sets the size of the end annotation arrow head, relative to `arrowwidth`. A value of 1 (default) gives a head about 3x as wide as the line. arrowwidth Sets the width (in px) of annotation arrow line. ax Sets the x component of the arrow tail about the arrow head. If `axref` is `pixel`, a positive (negative) component corresponds to an arrow pointing from right to left (left to right). If `axref` is not `pixel` and is exactly the same as `xref`, this is an absolute value on that axis, like `x`, specified in the same coordinates as `xref`. axref Indicates in what coordinates the tail of the annotation (ax,ay) is specified. If set to a x axis id (e.g. "x" or "x2"), the `x` position refers to a x coordinate. If set to "paper", the `x` position refers to the distance from the left of the plotting area in normalized coordinates where 0 (1) corresponds to the left (right). If set to a x axis ID followed by "domain" (separated by a space), the position behaves like for "paper", but refers to the distance in fractions of the domain length from the left of the domain of that axis: e.g., *x2 domain* refers to the domain of the second x axis and a x position of 0.5 refers to the point between the left and the right of the domain of the second x axis. In order for absolute positioning of the arrow to work, "axref" must be exactly the same as "xref", otherwise "axref" will revert to "pixel" (explained next). For relative positioning, "axref" can be set to "pixel", in which case the "ax" value is specified in pixels relative to "x". Absolute positioning is useful for trendline annotations which should continue to indicate the correct trend when zoomed. Relative positioning is useful for specifying the text offset for an annotated point. ay Sets the y component of the arrow tail about the arrow head. If `ayref` is `pixel`, a positive (negative) component corresponds to an arrow pointing from bottom to top (top to bottom). If `ayref` is not `pixel` and is exactly the same as `yref`, this is an absolute value on that axis, like `y`, specified in the same coordinates as `yref`. ayref Indicates in what coordinates the tail of the annotation (ax,ay) is specified. If set to a y axis id (e.g. "y" or "y2"), the `y` position refers to a y coordinate. If set to "paper", the `y` position refers to the distance from the bottom of the plotting area in normalized coordinates where 0 (1) corresponds to the bottom (top). If set to a y axis ID followed by "domain" (separated by a space), the position behaves like for "paper", but refers to the distance in fractions of the domain length from the bottom of the domain of that axis: e.g., *y2 domain* refers to the domain of the second y axis and a y position of 0.5 refers to the point between the bottom and the top of the domain of the second y axis. In order for absolute positioning of the arrow to work, "ayref" must be exactly the same as "yref", otherwise "ayref" will revert to "pixel" (explained next). For relative positioning, "ayref" can be set to "pixel", in which case the "ay" value is specified in pixels relative to "y". Absolute positioning is useful for trendline annotations which should continue to indicate the correct trend when zoomed. Relative positioning is useful for specifying the text offset for an annotated point. bgcolor Sets the background color of the annotation. bordercolor Sets the color of the border enclosing the annotation `text`. borderpad Sets the padding (in px) between the `text` and the enclosing border. borderwidth Sets the width (in px) of the border enclosing the annotation `text`. captureevents Determines whether the annotation text box captures mouse move and click events, or allows those events to pass through to data points in the plot that may be behind the annotation. By default `captureevents` is False unless `hovertext` is provided. If you use the event `plotly_clickannotation` without `hovertext` you must explicitly enable `captureevents`. clicktoshow Makes this annotation respond to clicks on the plot. If you click a data point that exactly matches the `x` and `y` values of this annotation, and it is hidden (visible: false), it will appear. In "onoff" mode, you must click the same point again to make it disappear, so if you click multiple points, you can show multiple annotations. In "onout" mode, a click anywhere else in the plot (on another data point or not) will hide this annotation. If you need to show/hide this annotation in response to different `x` or `y` values, you can set `xclick` and/or `yclick`. This is useful for example to label the side of a bar. To label markers though, `standoff` is preferred over `xclick` and `yclick`. font Sets the annotation text font. height Sets an explicit height for the text box. null (default) lets the text set the box height. Taller text will be clipped. hoverlabel :class:`plotly.graph_objects.layout.annotation.Hoverlab el` instance or dict with compatible properties hovertext Sets text to appear when hovering over this annotation. If omitted or blank, no hover label will appear. name When used in a template, named items are created in the output figure in addition to any items the figure already has in this array. You can modify these items in the output figure by making your own item with `templateitemname` matching this `name` alongside your modifications (including `visible: false` or `enabled: false` to hide it). Has no effect outside of a template. opacity Sets the opacity of the annotation (text + arrow). showarrow Determines whether or not the annotation is drawn with an arrow. If True, `text` is placed near the arrow's tail. If False, `text` lines up with the `x` and `y` provided. standoff Sets a distance, in pixels, to move the end arrowhead away from the position it is pointing at, for example to point at the edge of a marker independent of zoom. Note that this shortens the arrow from the `ax` / `ay` vector, in contrast to `xshift` / `yshift` which moves everything by this amount. startarrowhead Sets the start annotation arrow head style. startarrowsize Sets the size of the start annotation arrow head, relative to `arrowwidth`. A value of 1 (default) gives a head about 3x as wide as the line. startstandoff Sets a distance, in pixels, to move the start arrowhead away from the position it is pointing at, for example to point at the edge of a marker independent of zoom. Note that this shortens the arrow from the `ax` / `ay` vector, in contrast to `xshift` / `yshift` which moves everything by this amount. templateitemname Used to refer to a named item in this array in the template. Named items from the template will be created even without a matching item in the input figure, but you can modify one by making an item with `templateitemname` matching its `name`, alongside your modifications (including `visible: false` or `enabled: false` to hide it). If there is no template or no matching item, this item will be hidden unless you explicitly show it with `visible: true`. text Sets the text associated with this annotation. Plotly uses a subset of HTML tags to do things like newline (
), bold (), italics (), hyperlinks (). Tags , , , , are also supported. textangle Sets the angle at which the `text` is drawn with respect to the horizontal. valign Sets the vertical alignment of the `text` within the box. Has an effect only if an explicit height is set to override the text height. visible Determines whether or not this annotation is visible. width Sets an explicit width for the text box. null (default) lets the text set the box width. Wider text will be clipped. There is no automatic wrapping; use
to start a new line. x Sets the annotation's x position. If the axis `type` is "log", then you must take the log of your desired range. If the axis `type` is "date", it should be date strings, like date data, though Date objects and unix milliseconds will be accepted and converted to strings. If the axis `type` is "category", it should be numbers, using the scale where each category is assigned a serial number from zero in the order it appears. xanchor Sets the text box's horizontal position anchor This anchor binds the `x` position to the "left", "center" or "right" of the annotation. For example, if `x` is set to 1, `xref` to "paper" and `xanchor` to "right" then the right-most portion of the annotation lines up with the right-most edge of the plotting area. If "auto", the anchor is equivalent to "center" for data- referenced annotations or if there is an arrow, whereas for paper-referenced with no arrow, the anchor picked corresponds to the closest side. xclick Toggle this annotation when clicking a data point whose `x` value is `xclick` rather than the annotation's `x` value. xref Sets the annotation's x coordinate axis. If set to a x axis id (e.g. "x" or "x2"), the `x` position refers to a x coordinate. If set to "paper", the `x` position refers to the distance from the left of the plotting area in normalized coordinates where 0 (1) corresponds to the left (right). If set to a x axis ID followed by "domain" (separated by a space), the position behaves like for "paper", but refers to the distance in fractions of the domain length from the left of the domain of that axis: e.g., *x2 domain* refers to the domain of the second x axis and a x position of 0.5 refers to the point between the left and the right of the domain of the second x axis. xshift Shifts the position of the whole annotation and arrow to the right (positive) or left (negative) by this many pixels. y Sets the annotation's y position. If the axis `type` is "log", then you must take the log of your desired range. If the axis `type` is "date", it should be date strings, like date data, though Date objects and unix milliseconds will be accepted and converted to strings. If the axis `type` is "category", it should be numbers, using the scale where each category is assigned a serial number from zero in the order it appears. yanchor Sets the text box's vertical position anchor This anchor binds the `y` position to the "top", "middle" or "bottom" of the annotation. For example, if `y` is set to 1, `yref` to "paper" and `yanchor` to "top" then the top-most portion of the annotation lines up with the top-most edge of the plotting area. If "auto", the anchor is equivalent to "middle" for data-referenced annotations or if there is an arrow, whereas for paper- referenced with no arrow, the anchor picked corresponds to the closest side. yclick Toggle this annotation when clicking a data point whose `y` value is `yclick` rather than the annotation's `y` value. yref Sets the annotation's y coordinate axis. If set to a y axis id (e.g. "y" or "y2"), the `y` position refers to a y coordinate. If set to "paper", the `y` position refers to the distance from the bottom of the plotting area in normalized coordinates where 0 (1) corresponds to the bottom (top). If set to a y axis ID followed by "domain" (separated by a space), the position behaves like for "paper", but refers to the distance in fractions of the domain length from the bottom of the domain of that axis: e.g., *y2 domain* refers to the domain of the second y axis and a y position of 0.5 refers to the point between the bottom and the top of the domain of the second y axis. yshift Shifts the position of the whole annotation and arrow up (positive) or down (negative) by this many pixels. row Subplot row for annotation. If 'all', addresses all rows in the specified column(s). col Subplot column for annotation. If 'all', addresses all columns in the specified row(s). secondary_y Whether to add annotation to secondary y-axis exclude_empty_subplots If True, annotation will not be added to subplots without traces. Returns ------- FigureWidget """ from plotly.graph_objs import layout as _layout new_obj = _layout.Annotation( arg, align=align, arrowcolor=arrowcolor, arrowhead=arrowhead, arrowside=arrowside, arrowsize=arrowsize, arrowwidth=arrowwidth, ax=ax, axref=axref, ay=ay, ayref=ayref, bgcolor=bgcolor, bordercolor=bordercolor, borderpad=borderpad, borderwidth=borderwidth, captureevents=captureevents, clicktoshow=clicktoshow, font=font, height=height, hoverlabel=hoverlabel, hovertext=hovertext, name=name, opacity=opacity, showarrow=showarrow, standoff=standoff, startarrowhead=startarrowhead, startarrowsize=startarrowsize, startstandoff=startstandoff, templateitemname=templateitemname, text=text, textangle=textangle, valign=valign, visible=visible, width=width, x=x, xanchor=xanchor, xclick=xclick, xref=xref, xshift=xshift, y=y, yanchor=yanchor, yclick=yclick, yref=yref, yshift=yshift, **kwargs, ) return self._add_annotation_like( "annotation", "annotations", new_obj, row=row, col=col, secondary_y=secondary_y, exclude_empty_subplots=exclude_empty_subplots, ) def select_layout_images(self, selector=None, row=None, col=None, secondary_y=None): """ Select images from a particular subplot cell and/or images that satisfy custom selection criteria. Parameters ---------- selector: dict, function, int, str, or None (default None) Dict to use as selection criteria. Annotations will be selected if they contain properties corresponding to all of the dictionary's keys, with values that exactly match the supplied values. If None (the default), all images are selected. If a function, it must be a function accepting a single argument and returning a boolean. The function will be called on each image and those for which the function returned True will be in the selection. If an int N, the Nth image matching row and col will be selected (N can be negative). If a string S, the selector is equivalent to dict(type=S). row, col: int or None (default None) Subplot row and column index of images to select. To select images by row and column, the Figure must have been created using plotly.subplots.make_subplots. To select only those image that are in paper coordinates, set row and col to the string 'paper'. If None (the default), all images are selected. secondary_y: boolean or None (default None) * If True, only select images associated with the secondary y-axis of the subplot. * If False, only select images associated with the primary y-axis of the subplot. * If None (the default), do not filter images based on secondary y-axis. To select images by secondary y-axis, the Figure must have been created using plotly.subplots.make_subplots. See the docstring for the specs argument to make_subplots for more info on creating subplots with secondary y-axes. Returns ------- generator Generator that iterates through all of the images that satisfy all of the specified selection criteria """ return self._select_annotations_like( "images", selector=selector, row=row, col=col, secondary_y=secondary_y ) def for_each_layout_image( self, fn, selector=None, row=None, col=None, secondary_y=None ): """ Apply a function to all images that satisfy the specified selection criteria Parameters ---------- fn: Function that inputs a single image object. selector: dict, function, int, str or None (default None) Dict to use as selection criteria. Traces will be selected if they contain properties corresponding to all of the dictionary's keys, with values that exactly match the supplied values. If None (the default), all images are selected. If a function, it must be a function accepting a single argument and returning a boolean. The function will be called on each image and those for which the function returned True will be in the selection. If an int N, the Nth image matching row and col will be selected (N can be negative). If a string S, the selector is equivalent to dict(type=S). row, col: int or None (default None) Subplot row and column index of images to select. To select images by row and column, the Figure must have been created using plotly.subplots.make_subplots. To select only those images that are in paper coordinates, set row and col to the string 'paper'. If None (the default), all images are selected. secondary_y: boolean or None (default None) * If True, only select images associated with the secondary y-axis of the subplot. * If False, only select images associated with the primary y-axis of the subplot. * If None (the default), do not filter images based on secondary y-axis. To select images by secondary y-axis, the Figure must have been created using plotly.subplots.make_subplots. See the docstring for the specs argument to make_subplots for more info on creating subplots with secondary y-axes. Returns ------- self Returns the FigureWidget object that the method was called on """ for obj in self._select_annotations_like( prop="images", selector=selector, row=row, col=col, secondary_y=secondary_y, ): fn(obj) return self def update_layout_images( self, patch=None, selector=None, row=None, col=None, secondary_y=None, **kwargs ) -> "FigureWidget": """ Perform a property update operation on all images that satisfy the specified selection criteria Parameters ---------- patch: dict or None (default None) Dictionary of property updates to be applied to all images that satisfy the selection criteria. selector: dict, function, int, str or None (default None) Dict to use as selection criteria. Traces will be selected if they contain properties corresponding to all of the dictionary's keys, with values that exactly match the supplied values. If None (the default), all images are selected. If a function, it must be a function accepting a single argument and returning a boolean. The function will be called on each image and those for which the function returned True will be in the selection. If an int N, the Nth image matching row and col will be selected (N can be negative). If a string S, the selector is equivalent to dict(type=S). row, col: int or None (default None) Subplot row and column index of images to select. To select images by row and column, the Figure must have been created using plotly.subplots.make_subplots. To select only those image that are in paper coordinates, set row and col to the string 'paper'. If None (the default), all images are selected. secondary_y: boolean or None (default None) * If True, only select images associated with the secondary y-axis of the subplot. * If False, only select images associated with the primary y-axis of the subplot. * If None (the default), do not filter images based on secondary y-axis. To select images by secondary y-axis, the Figure must have been created using plotly.subplots.make_subplots. See the docstring for the specs argument to make_subplots for more info on creating subplots with secondary y-axes. **kwargs Additional property updates to apply to each selected image. If a property is specified in both patch and in **kwargs then the one in **kwargs takes precedence. Returns ------- self Returns the FigureWidget object that the method was called on """ for obj in self._select_annotations_like( prop="images", selector=selector, row=row, col=col, secondary_y=secondary_y, ): obj.update(patch, **kwargs) return self def add_layout_image( self, arg=None, layer=None, name=None, opacity=None, sizex=None, sizey=None, sizing=None, source=None, templateitemname=None, visible=None, x=None, xanchor=None, xref=None, y=None, yanchor=None, yref=None, row=None, col=None, secondary_y=None, exclude_empty_subplots=None, **kwargs, ) -> "FigureWidget": """ Create and add a new image to the figure's layout Parameters ---------- arg instance of Image or dict with compatible properties layer Specifies whether images are drawn below or above traces. When `xref` and `yref` are both set to `paper`, image is drawn below the entire plot area. name When used in a template, named items are created in the output figure in addition to any items the figure already has in this array. You can modify these items in the output figure by making your own item with `templateitemname` matching this `name` alongside your modifications (including `visible: false` or `enabled: false` to hide it). Has no effect outside of a template. opacity Sets the opacity of the image. sizex Sets the image container size horizontally. The image will be sized based on the `position` value. When `xref` is set to `paper`, units are sized relative to the plot width. When `xref` ends with ` domain`, units are sized relative to the axis width. sizey Sets the image container size vertically. The image will be sized based on the `position` value. When `yref` is set to `paper`, units are sized relative to the plot height. When `yref` ends with ` domain`, units are sized relative to the axis height. sizing Specifies which dimension of the image to constrain. source Specifies the URL of the image to be used. The URL must be accessible from the domain where the plot code is run, and can be either relative or absolute. templateitemname Used to refer to a named item in this array in the template. Named items from the template will be created even without a matching item in the input figure, but you can modify one by making an item with `templateitemname` matching its `name`, alongside your modifications (including `visible: false` or `enabled: false` to hide it). If there is no template or no matching item, this item will be hidden unless you explicitly show it with `visible: true`. visible Determines whether or not this image is visible. x Sets the image's x position. When `xref` is set to `paper`, units are sized relative to the plot height. See `xref` for more info xanchor Sets the anchor for the x position xref Sets the images's x coordinate axis. If set to a x axis id (e.g. "x" or "x2"), the `x` position refers to a x coordinate. If set to "paper", the `x` position refers to the distance from the left of the plotting area in normalized coordinates where 0 (1) corresponds to the left (right). If set to a x axis ID followed by "domain" (separated by a space), the position behaves like for "paper", but refers to the distance in fractions of the domain length from the left of the domain of that axis: e.g., *x2 domain* refers to the domain of the second x axis and a x position of 0.5 refers to the point between the left and the right of the domain of the second x axis. y Sets the image's y position. When `yref` is set to `paper`, units are sized relative to the plot height. See `yref` for more info yanchor Sets the anchor for the y position. yref Sets the images's y coordinate axis. If set to a y axis id (e.g. "y" or "y2"), the `y` position refers to a y coordinate. If set to "paper", the `y` position refers to the distance from the bottom of the plotting area in normalized coordinates where 0 (1) corresponds to the bottom (top). If set to a y axis ID followed by "domain" (separated by a space), the position behaves like for "paper", but refers to the distance in fractions of the domain length from the bottom of the domain of that axis: e.g., *y2 domain* refers to the domain of the second y axis and a y position of 0.5 refers to the point between the bottom and the top of the domain of the second y axis. row Subplot row for image. If 'all', addresses all rows in the specified column(s). col Subplot column for image. If 'all', addresses all columns in the specified row(s). secondary_y Whether to add image to secondary y-axis exclude_empty_subplots If True, image will not be added to subplots without traces. Returns ------- FigureWidget """ from plotly.graph_objs import layout as _layout new_obj = _layout.Image( arg, layer=layer, name=name, opacity=opacity, sizex=sizex, sizey=sizey, sizing=sizing, source=source, templateitemname=templateitemname, visible=visible, x=x, xanchor=xanchor, xref=xref, y=y, yanchor=yanchor, yref=yref, **kwargs, ) return self._add_annotation_like( "image", "images", new_obj, row=row, col=col, secondary_y=secondary_y, exclude_empty_subplots=exclude_empty_subplots, ) def select_selections(self, selector=None, row=None, col=None, secondary_y=None): """ Select selections from a particular subplot cell and/or selections that satisfy custom selection criteria. Parameters ---------- selector: dict, function, int, str, or None (default None) Dict to use as selection criteria. Annotations will be selected if they contain properties corresponding to all of the dictionary's keys, with values that exactly match the supplied values. If None (the default), all selections are selected. If a function, it must be a function accepting a single argument and returning a boolean. The function will be called on each selection and those for which the function returned True will be in the selection. If an int N, the Nth selection matching row and col will be selected (N can be negative). If a string S, the selector is equivalent to dict(type=S). row, col: int or None (default None) Subplot row and column index of selections to select. To select selections by row and column, the Figure must have been created using plotly.subplots.make_subplots. To select only those selection that are in paper coordinates, set row and col to the string 'paper'. If None (the default), all selections are selected. secondary_y: boolean or None (default None) * If True, only select selections associated with the secondary y-axis of the subplot. * If False, only select selections associated with the primary y-axis of the subplot. * If None (the default), do not filter selections based on secondary y-axis. To select selections by secondary y-axis, the Figure must have been created using plotly.subplots.make_subplots. See the docstring for the specs argument to make_subplots for more info on creating subplots with secondary y-axes. Returns ------- generator Generator that iterates through all of the selections that satisfy all of the specified selection criteria """ return self._select_annotations_like( "selections", selector=selector, row=row, col=col, secondary_y=secondary_y ) def for_each_selection( self, fn, selector=None, row=None, col=None, secondary_y=None ): """ Apply a function to all selections that satisfy the specified selection criteria Parameters ---------- fn: Function that inputs a single selection object. selector: dict, function, int, str or None (default None) Dict to use as selection criteria. Traces will be selected if they contain properties corresponding to all of the dictionary's keys, with values that exactly match the supplied values. If None (the default), all selections are selected. If a function, it must be a function accepting a single argument and returning a boolean. The function will be called on each selection and those for which the function returned True will be in the selection. If an int N, the Nth selection matching row and col will be selected (N can be negative). If a string S, the selector is equivalent to dict(type=S). row, col: int or None (default None) Subplot row and column index of selections to select. To select selections by row and column, the Figure must have been created using plotly.subplots.make_subplots. To select only those selections that are in paper coordinates, set row and col to the string 'paper'. If None (the default), all selections are selected. secondary_y: boolean or None (default None) * If True, only select selections associated with the secondary y-axis of the subplot. * If False, only select selections associated with the primary y-axis of the subplot. * If None (the default), do not filter selections based on secondary y-axis. To select selections by secondary y-axis, the Figure must have been created using plotly.subplots.make_subplots. See the docstring for the specs argument to make_subplots for more info on creating subplots with secondary y-axes. Returns ------- self Returns the FigureWidget object that the method was called on """ for obj in self._select_annotations_like( prop="selections", selector=selector, row=row, col=col, secondary_y=secondary_y, ): fn(obj) return self def update_selections( self, patch=None, selector=None, row=None, col=None, secondary_y=None, **kwargs ) -> "FigureWidget": """ Perform a property update operation on all selections that satisfy the specified selection criteria Parameters ---------- patch: dict or None (default None) Dictionary of property updates to be applied to all selections that satisfy the selection criteria. selector: dict, function, int, str or None (default None) Dict to use as selection criteria. Traces will be selected if they contain properties corresponding to all of the dictionary's keys, with values that exactly match the supplied values. If None (the default), all selections are selected. If a function, it must be a function accepting a single argument and returning a boolean. The function will be called on each selection and those for which the function returned True will be in the selection. If an int N, the Nth selection matching row and col will be selected (N can be negative). If a string S, the selector is equivalent to dict(type=S). row, col: int or None (default None) Subplot row and column index of selections to select. To select selections by row and column, the Figure must have been created using plotly.subplots.make_subplots. To select only those selection that are in paper coordinates, set row and col to the string 'paper'. If None (the default), all selections are selected. secondary_y: boolean or None (default None) * If True, only select selections associated with the secondary y-axis of the subplot. * If False, only select selections associated with the primary y-axis of the subplot. * If None (the default), do not filter selections based on secondary y-axis. To select selections by secondary y-axis, the Figure must have been created using plotly.subplots.make_subplots. See the docstring for the specs argument to make_subplots for more info on creating subplots with secondary y-axes. **kwargs Additional property updates to apply to each selected selection. If a property is specified in both patch and in **kwargs then the one in **kwargs takes precedence. Returns ------- self Returns the FigureWidget object that the method was called on """ for obj in self._select_annotations_like( prop="selections", selector=selector, row=row, col=col, secondary_y=secondary_y, ): obj.update(patch, **kwargs) return self def add_selection( self, arg=None, line=None, name=None, opacity=None, path=None, templateitemname=None, type=None, x0=None, x1=None, xref=None, y0=None, y1=None, yref=None, row=None, col=None, secondary_y=None, exclude_empty_subplots=None, **kwargs, ) -> "FigureWidget": """ Create and add a new selection to the figure's layout Parameters ---------- arg instance of Selection or dict with compatible properties line :class:`plotly.graph_objects.layout.selection.Line` instance or dict with compatible properties name When used in a template, named items are created in the output figure in addition to any items the figure already has in this array. You can modify these items in the output figure by making your own item with `templateitemname` matching this `name` alongside your modifications (including `visible: false` or `enabled: false` to hide it). Has no effect outside of a template. opacity Sets the opacity of the selection. path For `type` "path" - a valid SVG path similar to `shapes.path` in data coordinates. Allowed segments are: M, L and Z. templateitemname Used to refer to a named item in this array in the template. Named items from the template will be created even without a matching item in the input figure, but you can modify one by making an item with `templateitemname` matching its `name`, alongside your modifications (including `visible: false` or `enabled: false` to hide it). If there is no template or no matching item, this item will be hidden unless you explicitly show it with `visible: true`. type Specifies the selection type to be drawn. If "rect", a rectangle is drawn linking (`x0`,`y0`), (`x1`,`y0`), (`x1`,`y1`) and (`x0`,`y1`). If "path", draw a custom SVG path using `path`. x0 Sets the selection's starting x position. x1 Sets the selection's end x position. xref Sets the selection's x coordinate axis. If set to a x axis id (e.g. "x" or "x2"), the `x` position refers to a x coordinate. If set to "paper", the `x` position refers to the distance from the left of the plotting area in normalized coordinates where 0 (1) corresponds to the left (right). If set to a x axis ID followed by "domain" (separated by a space), the position behaves like for "paper", but refers to the distance in fractions of the domain length from the left of the domain of that axis: e.g., *x2 domain* refers to the domain of the second x axis and a x position of 0.5 refers to the point between the left and the right of the domain of the second x axis. y0 Sets the selection's starting y position. y1 Sets the selection's end y position. yref Sets the selection's x coordinate axis. If set to a y axis id (e.g. "y" or "y2"), the `y` position refers to a y coordinate. If set to "paper", the `y` position refers to the distance from the bottom of the plotting area in normalized coordinates where 0 (1) corresponds to the bottom (top). If set to a y axis ID followed by "domain" (separated by a space), the position behaves like for "paper", but refers to the distance in fractions of the domain length from the bottom of the domain of that axis: e.g., *y2 domain* refers to the domain of the second y axis and a y position of 0.5 refers to the point between the bottom and the top of the domain of the second y axis. row Subplot row for selection. If 'all', addresses all rows in the specified column(s). col Subplot column for selection. If 'all', addresses all columns in the specified row(s). secondary_y Whether to add selection to secondary y-axis exclude_empty_subplots If True, selection will not be added to subplots without traces. Returns ------- FigureWidget """ from plotly.graph_objs import layout as _layout new_obj = _layout.Selection( arg, line=line, name=name, opacity=opacity, path=path, templateitemname=templateitemname, type=type, x0=x0, x1=x1, xref=xref, y0=y0, y1=y1, yref=yref, **kwargs, ) return self._add_annotation_like( "selection", "selections", new_obj, row=row, col=col, secondary_y=secondary_y, exclude_empty_subplots=exclude_empty_subplots, ) def select_shapes(self, selector=None, row=None, col=None, secondary_y=None): """ Select shapes from a particular subplot cell and/or shapes that satisfy custom selection criteria. Parameters ---------- selector: dict, function, int, str, or None (default None) Dict to use as selection criteria. Annotations will be selected if they contain properties corresponding to all of the dictionary's keys, with values that exactly match the supplied values. If None (the default), all shapes are selected. If a function, it must be a function accepting a single argument and returning a boolean. The function will be called on each shape and those for which the function returned True will be in the selection. If an int N, the Nth shape matching row and col will be selected (N can be negative). If a string S, the selector is equivalent to dict(type=S). row, col: int or None (default None) Subplot row and column index of shapes to select. To select shapes by row and column, the Figure must have been created using plotly.subplots.make_subplots. To select only those shape that are in paper coordinates, set row and col to the string 'paper'. If None (the default), all shapes are selected. secondary_y: boolean or None (default None) * If True, only select shapes associated with the secondary y-axis of the subplot. * If False, only select shapes associated with the primary y-axis of the subplot. * If None (the default), do not filter shapes based on secondary y-axis. To select shapes by secondary y-axis, the Figure must have been created using plotly.subplots.make_subplots. See the docstring for the specs argument to make_subplots for more info on creating subplots with secondary y-axes. Returns ------- generator Generator that iterates through all of the shapes that satisfy all of the specified selection criteria """ return self._select_annotations_like( "shapes", selector=selector, row=row, col=col, secondary_y=secondary_y ) def for_each_shape(self, fn, selector=None, row=None, col=None, secondary_y=None): """ Apply a function to all shapes that satisfy the specified selection criteria Parameters ---------- fn: Function that inputs a single shape object. selector: dict, function, int, str or None (default None) Dict to use as selection criteria. Traces will be selected if they contain properties corresponding to all of the dictionary's keys, with values that exactly match the supplied values. If None (the default), all shapes are selected. If a function, it must be a function accepting a single argument and returning a boolean. The function will be called on each shape and those for which the function returned True will be in the selection. If an int N, the Nth shape matching row and col will be selected (N can be negative). If a string S, the selector is equivalent to dict(type=S). row, col: int or None (default None) Subplot row and column index of shapes to select. To select shapes by row and column, the Figure must have been created using plotly.subplots.make_subplots. To select only those shapes that are in paper coordinates, set row and col to the string 'paper'. If None (the default), all shapes are selected. secondary_y: boolean or None (default None) * If True, only select shapes associated with the secondary y-axis of the subplot. * If False, only select shapes associated with the primary y-axis of the subplot. * If None (the default), do not filter shapes based on secondary y-axis. To select shapes by secondary y-axis, the Figure must have been created using plotly.subplots.make_subplots. See the docstring for the specs argument to make_subplots for more info on creating subplots with secondary y-axes. Returns ------- self Returns the FigureWidget object that the method was called on """ for obj in self._select_annotations_like( prop="shapes", selector=selector, row=row, col=col, secondary_y=secondary_y, ): fn(obj) return self def update_shapes( self, patch=None, selector=None, row=None, col=None, secondary_y=None, **kwargs ) -> "FigureWidget": """ Perform a property update operation on all shapes that satisfy the specified selection criteria Parameters ---------- patch: dict or None (default None) Dictionary of property updates to be applied to all shapes that satisfy the selection criteria. selector: dict, function, int, str or None (default None) Dict to use as selection criteria. Traces will be selected if they contain properties corresponding to all of the dictionary's keys, with values that exactly match the supplied values. If None (the default), all shapes are selected. If a function, it must be a function accepting a single argument and returning a boolean. The function will be called on each shape and those for which the function returned True will be in the selection. If an int N, the Nth shape matching row and col will be selected (N can be negative). If a string S, the selector is equivalent to dict(type=S). row, col: int or None (default None) Subplot row and column index of shapes to select. To select shapes by row and column, the Figure must have been created using plotly.subplots.make_subplots. To select only those shape that are in paper coordinates, set row and col to the string 'paper'. If None (the default), all shapes are selected. secondary_y: boolean or None (default None) * If True, only select shapes associated with the secondary y-axis of the subplot. * If False, only select shapes associated with the primary y-axis of the subplot. * If None (the default), do not filter shapes based on secondary y-axis. To select shapes by secondary y-axis, the Figure must have been created using plotly.subplots.make_subplots. See the docstring for the specs argument to make_subplots for more info on creating subplots with secondary y-axes. **kwargs Additional property updates to apply to each selected shape. If a property is specified in both patch and in **kwargs then the one in **kwargs takes precedence. Returns ------- self Returns the FigureWidget object that the method was called on """ for obj in self._select_annotations_like( prop="shapes", selector=selector, row=row, col=col, secondary_y=secondary_y, ): obj.update(patch, **kwargs) return self def add_shape( self, arg=None, editable=None, fillcolor=None, fillrule=None, label=None, layer=None, legend=None, legendgroup=None, legendgrouptitle=None, legendrank=None, legendwidth=None, line=None, name=None, opacity=None, path=None, showlegend=None, templateitemname=None, type=None, visible=None, x0=None, x0shift=None, x1=None, x1shift=None, xanchor=None, xref=None, xsizemode=None, y0=None, y0shift=None, y1=None, y1shift=None, yanchor=None, yref=None, ysizemode=None, row=None, col=None, secondary_y=None, exclude_empty_subplots=None, **kwargs, ) -> "FigureWidget": """ Create and add a new shape to the figure's layout Parameters ---------- arg instance of Shape or dict with compatible properties editable Determines whether the shape could be activated for edit or not. Has no effect when the older editable shapes mode is enabled via `config.editable` or `config.edits.shapePosition`. fillcolor Sets the color filling the shape's interior. Only applies to closed shapes. fillrule Determines which regions of complex paths constitute the interior. For more info please visit https://developer.mozilla.org/en- US/docs/Web/SVG/Attribute/fill-rule label :class:`plotly.graph_objects.layout.shape.Label` instance or dict with compatible properties layer Specifies whether shapes are drawn below gridlines ("below"), between gridlines and traces ("between") or above traces ("above"). legend Sets the reference to a legend to show this shape in. References to these legends are "legend", "legend2", "legend3", etc. Settings for these legends are set in the layout, under `layout.legend`, `layout.legend2`, etc. legendgroup Sets the legend group for this shape. Traces and shapes part of the same legend group hide/show at the same time when toggling legend items. legendgrouptitle :class:`plotly.graph_objects.layout.shape.Legendgroupti tle` instance or dict with compatible properties legendrank Sets the legend rank for this shape. Items and groups with smaller ranks are presented on top/left side while with "reversed" `legend.traceorder` they are on bottom/right side. The default legendrank is 1000, so that you can use ranks less than 1000 to place certain items before all unranked items, and ranks greater than 1000 to go after all unranked items. When having unranked or equal rank items shapes would be displayed after traces i.e. according to their order in data and layout. legendwidth Sets the width (in px or fraction) of the legend for this shape. line :class:`plotly.graph_objects.layout.shape.Line` instance or dict with compatible properties name When used in a template, named items are created in the output figure in addition to any items the figure already has in this array. You can modify these items in the output figure by making your own item with `templateitemname` matching this `name` alongside your modifications (including `visible: false` or `enabled: false` to hide it). Has no effect outside of a template. opacity Sets the opacity of the shape. path For `type` "path" - a valid SVG path with the pixel values replaced by data values in `xsizemode`/`ysizemode` being "scaled" and taken unmodified as pixels relative to `xanchor` and `yanchor` in case of "pixel" size mode. There are a few restrictions / quirks only absolute instructions, not relative. So the allowed segments are: M, L, H, V, Q, C, T, S, and Z arcs (A) are not allowed because radius rx and ry are relative. In the future we could consider supporting relative commands, but we would have to decide on how to handle date and log axes. Note that even as is, Q and C Bezier paths that are smooth on linear axes may not be smooth on log, and vice versa. no chained "polybezier" commands - specify the segment type for each one. On category axes, values are numbers scaled to the serial numbers of categories because using the categories themselves there would be no way to describe fractional positions On data axes: because space and T are both normal components of path strings, we can't use either to separate date from time parts. Therefore we'll use underscore for this purpose: 2015-02-21_13:45:56.789 showlegend Determines whether or not this shape is shown in the legend. templateitemname Used to refer to a named item in this array in the template. Named items from the template will be created even without a matching item in the input figure, but you can modify one by making an item with `templateitemname` matching its `name`, alongside your modifications (including `visible: false` or `enabled: false` to hide it). If there is no template or no matching item, this item will be hidden unless you explicitly show it with `visible: true`. type Specifies the shape type to be drawn. If "line", a line is drawn from (`x0`,`y0`) to (`x1`,`y1`) with respect to the axes' sizing mode. If "circle", a circle is drawn from ((`x0`+`x1`)/2, (`y0`+`y1`)/2)) with radius (|(`x0`+`x1`)/2 - `x0`|, |(`y0`+`y1`)/2 -`y0`)|) with respect to the axes' sizing mode. If "rect", a rectangle is drawn linking (`x0`,`y0`), (`x1`,`y0`), (`x1`,`y1`), (`x0`,`y1`), (`x0`,`y0`) with respect to the axes' sizing mode. If "path", draw a custom SVG path using `path`. with respect to the axes' sizing mode. visible Determines whether or not this shape is visible. If "legendonly", the shape is not drawn, but can appear as a legend item (provided that the legend itself is visible). x0 Sets the shape's starting x position. See `type` and `xsizemode` for more info. x0shift Shifts `x0` away from the center of the category when `xref` is a "category" or "multicategory" axis. -0.5 corresponds to the start of the category and 0.5 corresponds to the end of the category. x1 Sets the shape's end x position. See `type` and `xsizemode` for more info. x1shift Shifts `x1` away from the center of the category when `xref` is a "category" or "multicategory" axis. -0.5 corresponds to the start of the category and 0.5 corresponds to the end of the category. xanchor Only relevant in conjunction with `xsizemode` set to "pixel". Specifies the anchor point on the x axis to which `x0`, `x1` and x coordinates within `path` are relative to. E.g. useful to attach a pixel sized shape to a certain data value. No effect when `xsizemode` not set to "pixel". xref Sets the shape's x coordinate axis. If set to a x axis id (e.g. "x" or "x2"), the `x` position refers to a x coordinate. If set to "paper", the `x` position refers to the distance from the left of the plotting area in normalized coordinates where 0 (1) corresponds to the left (right). If set to a x axis ID followed by "domain" (separated by a space), the position behaves like for "paper", but refers to the distance in fractions of the domain length from the left of the domain of that axis: e.g., *x2 domain* refers to the domain of the second x axis and a x position of 0.5 refers to the point between the left and the right of the domain of the second x axis. xsizemode Sets the shapes's sizing mode along the x axis. If set to "scaled", `x0`, `x1` and x coordinates within `path` refer to data values on the x axis or a fraction of the plot area's width (`xref` set to "paper"). If set to "pixel", `xanchor` specifies the x position in terms of data or plot fraction but `x0`, `x1` and x coordinates within `path` are pixels relative to `xanchor`. This way, the shape can have a fixed width while maintaining a position relative to data or plot fraction. y0 Sets the shape's starting y position. See `type` and `ysizemode` for more info. y0shift Shifts `y0` away from the center of the category when `yref` is a "category" or "multicategory" axis. -0.5 corresponds to the start of the category and 0.5 corresponds to the end of the category. y1 Sets the shape's end y position. See `type` and `ysizemode` for more info. y1shift Shifts `y1` away from the center of the category when `yref` is a "category" or "multicategory" axis. -0.5 corresponds to the start of the category and 0.5 corresponds to the end of the category. yanchor Only relevant in conjunction with `ysizemode` set to "pixel". Specifies the anchor point on the y axis to which `y0`, `y1` and y coordinates within `path` are relative to. E.g. useful to attach a pixel sized shape to a certain data value. No effect when `ysizemode` not set to "pixel". yref Sets the shape's y coordinate axis. If set to a y axis id (e.g. "y" or "y2"), the `y` position refers to a y coordinate. If set to "paper", the `y` position refers to the distance from the bottom of the plotting area in normalized coordinates where 0 (1) corresponds to the bottom (top). If set to a y axis ID followed by "domain" (separated by a space), the position behaves like for "paper", but refers to the distance in fractions of the domain length from the bottom of the domain of that axis: e.g., *y2 domain* refers to the domain of the second y axis and a y position of 0.5 refers to the point between the bottom and the top of the domain of the second y axis. ysizemode Sets the shapes's sizing mode along the y axis. If set to "scaled", `y0`, `y1` and y coordinates within `path` refer to data values on the y axis or a fraction of the plot area's height (`yref` set to "paper"). If set to "pixel", `yanchor` specifies the y position in terms of data or plot fraction but `y0`, `y1` and y coordinates within `path` are pixels relative to `yanchor`. This way, the shape can have a fixed height while maintaining a position relative to data or plot fraction. row Subplot row for shape. If 'all', addresses all rows in the specified column(s). col Subplot column for shape. If 'all', addresses all columns in the specified row(s). secondary_y Whether to add shape to secondary y-axis exclude_empty_subplots If True, shape will not be added to subplots without traces. Returns ------- FigureWidget """ from plotly.graph_objs import layout as _layout new_obj = _layout.Shape( arg, editable=editable, fillcolor=fillcolor, fillrule=fillrule, label=label, layer=layer, legend=legend, legendgroup=legendgroup, legendgrouptitle=legendgrouptitle, legendrank=legendrank, legendwidth=legendwidth, line=line, name=name, opacity=opacity, path=path, showlegend=showlegend, templateitemname=templateitemname, type=type, visible=visible, x0=x0, x0shift=x0shift, x1=x1, x1shift=x1shift, xanchor=xanchor, xref=xref, xsizemode=xsizemode, y0=y0, y0shift=y0shift, y1=y1, y1shift=y1shift, yanchor=yanchor, yref=yref, ysizemode=ysizemode, **kwargs, ) return self._add_annotation_like( "shape", "shapes", new_obj, row=row, col=col, secondary_y=secondary_y, exclude_empty_subplots=exclude_empty_subplots, )