# --- THIS FILE IS AUTO-GENERATED --- # Modifications will be overwitten the next time code generation run. from plotly.basedatatypes import BaseTraceType as _BaseTraceType import copy as _copy class Barpolar(_BaseTraceType): _parent_path_str = "" _path_str = "barpolar" _valid_props = { "base", "basesrc", "customdata", "customdatasrc", "dr", "dtheta", "hoverinfo", "hoverinfosrc", "hoverlabel", "hovertemplate", "hovertemplatesrc", "hovertext", "hovertextsrc", "ids", "idssrc", "legend", "legendgroup", "legendgrouptitle", "legendrank", "legendwidth", "marker", "meta", "metasrc", "name", "offset", "offsetsrc", "opacity", "r", "r0", "rsrc", "selected", "selectedpoints", "showlegend", "stream", "subplot", "text", "textsrc", "theta", "theta0", "thetasrc", "thetaunit", "type", "uid", "uirevision", "unselected", "visible", "width", "widthsrc", } @property def base(self): """ 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. The 'base' property accepts values of any type Returns ------- Any|numpy.ndarray """ return self["base"] @base.setter def base(self, val): self["base"] = val @property def basesrc(self): """ Sets the source reference on Chart Studio Cloud for `base`. The 'basesrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["basesrc"] @basesrc.setter def basesrc(self, val): self["basesrc"] = val @property def customdata(self): """ 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 The 'customdata' property is an array that may be specified as a tuple, list, numpy array, or pandas Series Returns ------- numpy.ndarray """ return self["customdata"] @customdata.setter def customdata(self, val): self["customdata"] = val @property def customdatasrc(self): """ Sets the source reference on Chart Studio Cloud for `customdata`. The 'customdatasrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["customdatasrc"] @customdatasrc.setter def customdatasrc(self, val): self["customdatasrc"] = val @property def dr(self): """ Sets the r coordinate step. The 'dr' property is a number and may be specified as: - An int or float Returns ------- int|float """ return self["dr"] @dr.setter def dr(self, val): self["dr"] = val @property def dtheta(self): """ Sets the theta coordinate step. By default, the `dtheta` step equals the subplot's period divided by the length of the `r` coordinates. The 'dtheta' property is a number and may be specified as: - An int or float Returns ------- int|float """ return self["dtheta"] @dtheta.setter def dtheta(self, val): self["dtheta"] = val @property def hoverinfo(self): """ 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. The 'hoverinfo' property is a flaglist and may be specified as a string containing: - Any combination of ['r', 'theta', 'text', 'name'] joined with '+' characters (e.g. 'r+theta') OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip') - A list or array of the above Returns ------- Any|numpy.ndarray """ return self["hoverinfo"] @hoverinfo.setter def hoverinfo(self, val): self["hoverinfo"] = val @property def hoverinfosrc(self): """ Sets the source reference on Chart Studio Cloud for `hoverinfo`. The 'hoverinfosrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["hoverinfosrc"] @hoverinfosrc.setter def hoverinfosrc(self, val): self["hoverinfosrc"] = val @property def hoverlabel(self): """ The 'hoverlabel' property is an instance of Hoverlabel that may be specified as: - An instance of :class:`plotly.graph_objs.barpolar.Hoverlabel` - A dict of string/value properties that will be passed to the Hoverlabel constructor Returns ------- plotly.graph_objs.barpolar.Hoverlabel """ return self["hoverlabel"] @hoverlabel.setter def hoverlabel(self, val): self["hoverlabel"] = val @property def hovertemplate(self): """ 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 ``. The 'hovertemplate' property is a string and must be specified as: - A string - A number that will be converted to a string - A tuple, list, or one-dimensional numpy array of the above Returns ------- str|numpy.ndarray """ return self["hovertemplate"] @hovertemplate.setter def hovertemplate(self, val): self["hovertemplate"] = val @property def hovertemplatesrc(self): """ Sets the source reference on Chart Studio Cloud for `hovertemplate`. The 'hovertemplatesrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["hovertemplatesrc"] @hovertemplatesrc.setter def hovertemplatesrc(self, val): self["hovertemplatesrc"] = val @property def hovertext(self): """ Same as `text`. The 'hovertext' property is a string and must be specified as: - A string - A number that will be converted to a string - A tuple, list, or one-dimensional numpy array of the above Returns ------- str|numpy.ndarray """ return self["hovertext"] @hovertext.setter def hovertext(self, val): self["hovertext"] = val @property def hovertextsrc(self): """ Sets the source reference on Chart Studio Cloud for `hovertext`. The 'hovertextsrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["hovertextsrc"] @hovertextsrc.setter def hovertextsrc(self, val): self["hovertextsrc"] = val @property def ids(self): """ 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. The 'ids' property is an array that may be specified as a tuple, list, numpy array, or pandas Series Returns ------- numpy.ndarray """ return self["ids"] @ids.setter def ids(self, val): self["ids"] = val @property def idssrc(self): """ Sets the source reference on Chart Studio Cloud for `ids`. The 'idssrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["idssrc"] @idssrc.setter def idssrc(self, val): self["idssrc"] = val @property def legend(self): """ 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. The 'legend' property is an identifier of a particular subplot, of type 'legend', that may be specified as the string 'legend' optionally followed by an integer >= 1 (e.g. 'legend', 'legend1', 'legend2', 'legend3', etc.) Returns ------- str """ return self["legend"] @legend.setter def legend(self, val): self["legend"] = val @property def legendgroup(self): """ 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. The 'legendgroup' property is a string and must be specified as: - A string - A number that will be converted to a string Returns ------- str """ return self["legendgroup"] @legendgroup.setter def legendgroup(self, val): self["legendgroup"] = val @property def legendgrouptitle(self): """ The 'legendgrouptitle' property is an instance of Legendgrouptitle that may be specified as: - An instance of :class:`plotly.graph_objs.barpolar.Legendgrouptitle` - A dict of string/value properties that will be passed to the Legendgrouptitle constructor Returns ------- plotly.graph_objs.barpolar.Legendgrouptitle """ return self["legendgrouptitle"] @legendgrouptitle.setter def legendgrouptitle(self, val): self["legendgrouptitle"] = val @property def legendrank(self): """ 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. The 'legendrank' property is a number and may be specified as: - An int or float Returns ------- int|float """ return self["legendrank"] @legendrank.setter def legendrank(self, val): self["legendrank"] = val @property def legendwidth(self): """ Sets the width (in px or fraction) of the legend for this trace. The 'legendwidth' property is a number and may be specified as: - An int or float in the interval [0, inf] Returns ------- int|float """ return self["legendwidth"] @legendwidth.setter def legendwidth(self, val): self["legendwidth"] = val @property def marker(self): """ The 'marker' property is an instance of Marker that may be specified as: - An instance of :class:`plotly.graph_objs.barpolar.Marker` - A dict of string/value properties that will be passed to the Marker constructor Returns ------- plotly.graph_objs.barpolar.Marker """ return self["marker"] @marker.setter def marker(self, val): self["marker"] = val @property def meta(self): """ 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. The 'meta' property accepts values of any type Returns ------- Any|numpy.ndarray """ return self["meta"] @meta.setter def meta(self, val): self["meta"] = val @property def metasrc(self): """ Sets the source reference on Chart Studio Cloud for `meta`. The 'metasrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["metasrc"] @metasrc.setter def metasrc(self, val): self["metasrc"] = val @property def name(self): """ Sets the trace name. The trace name appears as the legend item and on hover. The 'name' property is a string and must be specified as: - A string - A number that will be converted to a string Returns ------- str """ return self["name"] @name.setter def name(self, val): self["name"] = val @property def offset(self): """ Shifts the angular position where the bar is drawn (in "thetatunit" units). The 'offset' property is a number and may be specified as: - An int or float - A tuple, list, or one-dimensional numpy array of the above Returns ------- int|float|numpy.ndarray """ return self["offset"] @offset.setter def offset(self, val): self["offset"] = val @property def offsetsrc(self): """ Sets the source reference on Chart Studio Cloud for `offset`. The 'offsetsrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["offsetsrc"] @offsetsrc.setter def offsetsrc(self, val): self["offsetsrc"] = val @property def opacity(self): """ Sets the opacity of the trace. The 'opacity' property is a number and may be specified as: - An int or float in the interval [0, 1] Returns ------- int|float """ return self["opacity"] @opacity.setter def opacity(self, val): self["opacity"] = val @property def r(self): """ Sets the radial coordinates The 'r' property is an array that may be specified as a tuple, list, numpy array, or pandas Series Returns ------- numpy.ndarray """ return self["r"] @r.setter def r(self, val): self["r"] = val @property def r0(self): """ Alternate to `r`. Builds a linear space of r coordinates. Use with `dr` where `r0` is the starting coordinate and `dr` the step. The 'r0' property accepts values of any type Returns ------- Any """ return self["r0"] @r0.setter def r0(self, val): self["r0"] = val @property def rsrc(self): """ Sets the source reference on Chart Studio Cloud for `r`. The 'rsrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["rsrc"] @rsrc.setter def rsrc(self, val): self["rsrc"] = val @property def selected(self): """ The 'selected' property is an instance of Selected that may be specified as: - An instance of :class:`plotly.graph_objs.barpolar.Selected` - A dict of string/value properties that will be passed to the Selected constructor Returns ------- plotly.graph_objs.barpolar.Selected """ return self["selected"] @selected.setter def selected(self, val): self["selected"] = val @property def selectedpoints(self): """ 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. The 'selectedpoints' property accepts values of any type Returns ------- Any """ return self["selectedpoints"] @selectedpoints.setter def selectedpoints(self, val): self["selectedpoints"] = val @property def showlegend(self): """ Determines whether or not an item corresponding to this trace is shown in the legend. The 'showlegend' property must be specified as a bool (either True, or False) Returns ------- bool """ return self["showlegend"] @showlegend.setter def showlegend(self, val): self["showlegend"] = val @property def stream(self): """ The 'stream' property is an instance of Stream that may be specified as: - An instance of :class:`plotly.graph_objs.barpolar.Stream` - A dict of string/value properties that will be passed to the Stream constructor Returns ------- plotly.graph_objs.barpolar.Stream """ return self["stream"] @stream.setter def stream(self, val): self["stream"] = val @property def subplot(self): """ 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. The 'subplot' property is an identifier of a particular subplot, of type 'polar', that may be specified as the string 'polar' optionally followed by an integer >= 1 (e.g. 'polar', 'polar1', 'polar2', 'polar3', etc.) Returns ------- str """ return self["subplot"] @subplot.setter def subplot(self, val): self["subplot"] = val @property def text(self): """ 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. The 'text' property is a string and must be specified as: - A string - A number that will be converted to a string - A tuple, list, or one-dimensional numpy array of the above Returns ------- str|numpy.ndarray """ return self["text"] @text.setter def text(self, val): self["text"] = val @property def textsrc(self): """ Sets the source reference on Chart Studio Cloud for `text`. The 'textsrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["textsrc"] @textsrc.setter def textsrc(self, val): self["textsrc"] = val @property def theta(self): """ Sets the angular coordinates The 'theta' property is an array that may be specified as a tuple, list, numpy array, or pandas Series Returns ------- numpy.ndarray """ return self["theta"] @theta.setter def theta(self, val): self["theta"] = val @property def theta0(self): """ Alternate to `theta`. Builds a linear space of theta coordinates. Use with `dtheta` where `theta0` is the starting coordinate and `dtheta` the step. The 'theta0' property accepts values of any type Returns ------- Any """ return self["theta0"] @theta0.setter def theta0(self, val): self["theta0"] = val @property def thetasrc(self): """ Sets the source reference on Chart Studio Cloud for `theta`. The 'thetasrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["thetasrc"] @thetasrc.setter def thetasrc(self, val): self["thetasrc"] = val @property def thetaunit(self): """ Sets the unit of input "theta" values. Has an effect only when on "linear" angular axes. The 'thetaunit' property is an enumeration that may be specified as: - One of the following enumeration values: ['radians', 'degrees', 'gradians'] Returns ------- Any """ return self["thetaunit"] @thetaunit.setter def thetaunit(self, val): self["thetaunit"] = val @property def uid(self): """ Assign an id to this trace, Use this to provide object constancy between traces during animations and transitions. The 'uid' property is a string and must be specified as: - A string - A number that will be converted to a string Returns ------- str """ return self["uid"] @uid.setter def uid(self, val): self["uid"] = val @property def uirevision(self): """ 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. The 'uirevision' property accepts values of any type Returns ------- Any """ return self["uirevision"] @uirevision.setter def uirevision(self, val): self["uirevision"] = val @property def unselected(self): """ The 'unselected' property is an instance of Unselected that may be specified as: - An instance of :class:`plotly.graph_objs.barpolar.Unselected` - A dict of string/value properties that will be passed to the Unselected constructor Returns ------- plotly.graph_objs.barpolar.Unselected """ return self["unselected"] @unselected.setter def unselected(self, val): self["unselected"] = val @property def visible(self): """ 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). The 'visible' property is an enumeration that may be specified as: - One of the following enumeration values: [True, False, 'legendonly'] Returns ------- Any """ return self["visible"] @visible.setter def visible(self, val): self["visible"] = val @property def width(self): """ Sets the bar angular width (in "thetaunit" units). The 'width' property is a number and may be specified as: - An int or float in the interval [0, inf] - A tuple, list, or one-dimensional numpy array of the above Returns ------- int|float|numpy.ndarray """ return self["width"] @width.setter def width(self, val): self["width"] = val @property def widthsrc(self): """ Sets the source reference on Chart Studio Cloud for `width`. The 'widthsrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["widthsrc"] @widthsrc.setter def widthsrc(self, val): self["widthsrc"] = val @property def type(self): return self._props["type"] @property def _prop_descriptions(self): return """\ 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`. """ def __init__( self, arg=None, 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, **kwargs, ): """ Construct a new Barpolar object The data visualized by the radial span of the bars is set in `r` Parameters ---------- arg dict of properties compatible with this constructor or an instance of :class:`plotly.graph_objs.Barpolar` 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`. Returns ------- Barpolar """ super().__init__("barpolar") if "_parent" in kwargs: self._parent = kwargs["_parent"] return if arg is None: arg = {} elif isinstance(arg, self.__class__): arg = arg.to_plotly_json() elif isinstance(arg, dict): arg = _copy.copy(arg) else: raise ValueError( """\ The first argument to the plotly.graph_objs.Barpolar constructor must be a dict or an instance of :class:`plotly.graph_objs.Barpolar`""" ) self._skip_invalid = kwargs.pop("skip_invalid", False) self._validate = kwargs.pop("_validate", True) self._set_property("base", arg, base) self._set_property("basesrc", arg, basesrc) self._set_property("customdata", arg, customdata) self._set_property("customdatasrc", arg, customdatasrc) self._set_property("dr", arg, dr) self._set_property("dtheta", arg, dtheta) self._set_property("hoverinfo", arg, hoverinfo) self._set_property("hoverinfosrc", arg, hoverinfosrc) self._set_property("hoverlabel", arg, hoverlabel) self._set_property("hovertemplate", arg, hovertemplate) self._set_property("hovertemplatesrc", arg, hovertemplatesrc) self._set_property("hovertext", arg, hovertext) self._set_property("hovertextsrc", arg, hovertextsrc) self._set_property("ids", arg, ids) self._set_property("idssrc", arg, idssrc) self._set_property("legend", arg, legend) self._set_property("legendgroup", arg, legendgroup) self._set_property("legendgrouptitle", arg, legendgrouptitle) self._set_property("legendrank", arg, legendrank) self._set_property("legendwidth", arg, legendwidth) self._set_property("marker", arg, marker) self._set_property("meta", arg, meta) self._set_property("metasrc", arg, metasrc) self._set_property("name", arg, name) self._set_property("offset", arg, offset) self._set_property("offsetsrc", arg, offsetsrc) self._set_property("opacity", arg, opacity) self._set_property("r", arg, r) self._set_property("r0", arg, r0) self._set_property("rsrc", arg, rsrc) self._set_property("selected", arg, selected) self._set_property("selectedpoints", arg, selectedpoints) self._set_property("showlegend", arg, showlegend) self._set_property("stream", arg, stream) self._set_property("subplot", arg, subplot) self._set_property("text", arg, text) self._set_property("textsrc", arg, textsrc) self._set_property("theta", arg, theta) self._set_property("theta0", arg, theta0) self._set_property("thetasrc", arg, thetasrc) self._set_property("thetaunit", arg, thetaunit) self._set_property("uid", arg, uid) self._set_property("uirevision", arg, uirevision) self._set_property("unselected", arg, unselected) self._set_property("visible", arg, visible) self._set_property("width", arg, width) self._set_property("widthsrc", arg, widthsrc) self._props["type"] = "barpolar" arg.pop("type", None) self._process_kwargs(**dict(arg, **kwargs)) self._skip_invalid = False