136 lines
4.2 KiB
Python
136 lines
4.2 KiB
Python
from matplotlib.artist import Artist
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import matplotlib.cbook as cbook
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class Container(tuple):
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"""
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Base class for containers.
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Containers are classes that collect semantically related Artists such as
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the bars of a bar plot.
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"""
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def __repr__(self):
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return ("<{} object of {} artists>"
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.format(type(self).__name__, len(self)))
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def __new__(cls, *args, **kwargs):
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return tuple.__new__(cls, args[0])
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def __init__(self, kl, label=None):
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self.eventson = False # fire events only if eventson
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self._oid = 0 # an observer id
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self._propobservers = {} # a dict from oids to funcs
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self._remove_method = None
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self.set_label(label)
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def remove(self):
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for c in cbook.flatten(
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self, scalarp=lambda x: isinstance(x, Artist)):
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if c is not None:
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c.remove()
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if self._remove_method:
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self._remove_method(self)
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def get_children(self):
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return [child for child in cbook.flatten(self) if child is not None]
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get_label = Artist.get_label
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set_label = Artist.set_label
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add_callback = Artist.add_callback
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remove_callback = Artist.remove_callback
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pchanged = Artist.pchanged
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class BarContainer(Container):
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"""
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Container for the artists of bar plots (e.g. created by `.Axes.bar`).
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The container can be treated as a tuple of the *patches* themselves.
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Additionally, you can access these and further parameters by the
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attributes.
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Attributes
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----------
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patches : list of :class:`~matplotlib.patches.Rectangle`
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The artists of the bars.
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errorbar : None or :class:`~matplotlib.container.ErrorbarContainer`
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A container for the error bar artists if error bars are present.
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*None* otherwise.
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"""
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def __init__(self, patches, errorbar=None, **kwargs):
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self.patches = patches
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self.errorbar = errorbar
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Container.__init__(self, patches, **kwargs)
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class ErrorbarContainer(Container):
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"""
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Container for the artists of error bars (e.g. created by `.Axes.errorbar`).
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The container can be treated as the *lines* tuple itself.
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Additionally, you can access these and further parameters by the
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attributes.
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Attributes
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----------
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lines : tuple
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Tuple of ``(data_line, caplines, barlinecols)``.
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- data_line : :class:`~matplotlib.lines.Line2D` instance of
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x, y plot markers and/or line.
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- caplines : tuple of :class:`~matplotlib.lines.Line2D` instances of
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the error bar caps.
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- barlinecols : list of :class:`~matplotlib.collections.LineCollection`
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with the horizontal and vertical error ranges.
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has_xerr, has_yerr : bool
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``True`` if the errorbar has x/y errors.
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"""
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def __init__(self, lines, has_xerr=False, has_yerr=False, **kwargs):
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self.lines = lines
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self.has_xerr = has_xerr
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self.has_yerr = has_yerr
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Container.__init__(self, lines, **kwargs)
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class StemContainer(Container):
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"""
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Container for the artists created in a :meth:`.Axes.stem` plot.
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The container can be treated like a namedtuple ``(markerline, stemlines,
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baseline)``.
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Attributes
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----------
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markerline : :class:`~matplotlib.lines.Line2D`
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The artist of the markers at the stem heads.
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stemlines : list of :class:`~matplotlib.lines.Line2D`
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The artists of the vertical lines for all stems.
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baseline : :class:`~matplotlib.lines.Line2D`
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The artist of the horizontal baseline.
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"""
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def __init__(self, markerline_stemlines_baseline, **kwargs):
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"""
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Parameters
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----------
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markerline_stemlines_baseline : tuple
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Tuple of ``(markerline, stemlines, baseline)``.
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``markerline`` contains the `LineCollection` of the markers,
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``stemlines`` is a `LineCollection` of the main lines,
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``baseline`` is the `Line2D` of the baseline.
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"""
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markerline, stemlines, baseline = markerline_stemlines_baseline
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self.markerline = markerline
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self.stemlines = stemlines
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self.baseline = baseline
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Container.__init__(self, markerline_stemlines_baseline, **kwargs)
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