htSSKJr SSKJr "SS\5r"SS\5r"SS\5r"S S \5rg ) )cbook)Artistc\rSrSrSrSrSrS SjrSrSr \ Rr \ Rr \ Rr \ Rr\ RrS rg) Containerz~ Base class for containers. Containers are classes that collect semantically related Artists such as the bars of a bar plot. cLS[U5RS[U5S3$)N)type__name__len)selfs F/var/www/html/env/lib/python3.13/site-packages/matplotlib/container.py__repr__Container.__repr__ s&4:&&'{3t9+YGGc2[RXS5$)Nr)tuple__new__)clsargskwargss rrContainer.__new__s}}Sq'**rNc|[R"S/S9UlSUlUb[ U5UlgSUlg)Npchanged)signals)rCallbackRegistry _callbacks_remove_methodstr_label)r kllabels r__init__Container.__init__s400*F"$)$5c%j 4 rc[R"USS9HnUcMUR5 M UR(aURU5 gg)Nc"[U[5$N) isinstancer)xs r"Container.remove..s 1f(=r)scalarp)rflattenremover)r cs rr.Container.removesG=?A} ?       % rcb[R"U5Vs/sH ocMUPM sn$s snfr')rr-)r childs r get_childrenContainer.get_children s%#(==#6L#6%#6LLLs,,)rr rr')r __module__ __qualname____firstlineno____doc__rrr#r.r3r get_label set_label add_callbackremove_callbackr__static_attributes__rrrrsZH+@ &M  I  I&&L,,OHrrc:^\rSrSrSrSSSS.U4SjjjrSrU=r$) BarContainer*a Container for the artists of bar plots (e.g. created by `.Axes.bar`). The container can be treated as a tuple of the *patches* themselves. Additionally, you can access these and further parameters by the attributes. Attributes ---------- patches : list of :class:`~matplotlib.patches.Rectangle` The artists of the bars. errorbar : None or :class:`~matplotlib.container.ErrorbarContainer` A container for the error bar artists if error bars are present. *None* otherwise. datavalues : None or array-like The underlying data values corresponding to the bars. orientation : {'vertical', 'horizontal'}, default: None If 'vertical', the bars are assumed to be vertical. If 'horizontal', the bars are assumed to be horizontal. N) datavalues orientationc X>XlX lX0lX@l[TU]"U40UD6 gr')patcheserrorbarrBrCsuperr#)r rErFrBrCr __class__s rr#BarContainer.__init__Ds*  $& +F+r)rBrFrCrEr'r r5r6r7r8r#r= __classcell__rHs@rr@r@*s2,T!,,rr@c0^\rSrSrSrSU4SjjrSrU=r$)ErrorbarContainerMa Container for the artists of error bars (e.g. created by `.Axes.errorbar`). The container can be treated as the *lines* tuple itself. Additionally, you can access these and further parameters by the attributes. Attributes ---------- lines : tuple Tuple of ``(data_line, caplines, barlinecols)``. - data_line : A `~matplotlib.lines.Line2D` instance of x, y plot markers and/or line. - caplines : A tuple of `~matplotlib.lines.Line2D` instances of the error bar caps. - barlinecols : A tuple of `~matplotlib.collections.LineCollection` with the horizontal and vertical error ranges. has_xerr, has_yerr : bool ``True`` if the errorbar has x/y errors. c L>XlX lX0l[TU]"U40UD6 gr')lineshas_xerrhas_yerrrGr#)r rQrRrSrrHs rr#ErrorbarContainer.__init__fs$    )&)r)rRrSrQ)FFrJrLs@rrNrNMs0**rrNc,^\rSrSrSrU4SjrSrU=r$) StemContainerma Container for the artists created in a :meth:`.Axes.stem` plot. The container can be treated like a namedtuple ``(markerline, stemlines, baseline)``. Attributes ---------- markerline : `~matplotlib.lines.Line2D` The artist of the markers at the stem heads. stemlines : `~matplotlib.collections.LineCollection` The artists of the vertical lines for all stems. baseline : `~matplotlib.lines.Line2D` The artist of the horizontal baseline. c V>Uup4nX0lX@lXPl[TU]"U40UD6 g)a Parameters ---------- markerline_stemlines_baseline : tuple Tuple of ``(markerline, stemlines, baseline)``. ``markerline`` contains the `.Line2D` of the markers, ``stemlines`` is a `.LineCollection` of the main lines, ``baseline`` is the `.Line2D` of the baseline. N) markerline stemlinesbaselinerGr#)r markerline_stemlines_baselinerrYrZr[rHs rr#StemContainer.__init__s2+H' x$"  6A&Ar)r[rYrZrJrLs@rrVrVms"BBrrVN) matplotlibrmatplotlib.artistrrrr@rNrVr>rrr`s@$""J ,9 ,F* *@ BI Br