o h@s\ddlmZddlmZGdddeZGdddeZGdddeZGd d d eZd S) )cbook)Artistc@sXeZdZdZddZddZd ddZd d Zd d Ze j Z e j Z e j Z e j Z e jZdS) Containerz Base class for containers. Containers are classes that collect semantically related Artists such as the bars of a bar plot. cCsdt|jdt|dS)N)type__name__lenselfr h/var/www/html/construction_image-detection-poc/venv/lib/python3.10/site-packages/matplotlib/container.py__repr__ szContainer.__repr__cOst||dS)Nr)tuple__new__)clsargskwargsr r r rszContainer.__new__NcCs6tjdgd|_d|_|durt||_dSd|_dS)Npchanged)signals)rCallbackRegistry _callbacks_remove_methodstr_label)r kllabelr r r __init__s zContainer.__init__cCs@tj|dddD] }|dur|q |jr||dSdS)NcSs t|tSN) isinstancer)xr r r s z"Container.remove..)scalarp)rflattenremover)r cr r r r#s zContainer.removecCsddt|DS)NcSsg|]}|dur|qSrr ).0childr r r !sz*Container.get_children..)rr"r r r r get_children szContainer.get_childrenr)r __module__ __qualname____doc__r rrr#r(r get_label set_label add_callbackremove_callbackrr r r r rs  rcs*eZdZdZddddfdd ZZS) BarContainera4 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 s0||_||_||_||_tj|fi|dSr)patcheserrorbarr1r2superr)r r3r4r1r2r __class__r r rDs zBarContainer.__init__rrr)r*r+r __classcell__r r r6r r0*s r0cs"eZdZdZdfdd ZZS)ErrorbarContainera 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. Fc s*||_||_||_tj|fi|dSr)lineshas_xerrhas_yerrr5r)r r;r<r=rr6r r rfszErrorbarContainer.__init__)FFr8r r r6r r:Msr:cs eZdZdZfddZZS) StemContainera 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 s4|\}}}||_||_||_tj|fi|dS)aZ 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 stemlinesbaseliner5r)r markerline_stemlines_baselinerr?r@rAr6r r rs zStemContainer.__init__r8r r r6r r>msr>N) matplotlibrmatplotlib.artistrrrr0r:r>r r r r s %#