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container.py
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183 lines (137 loc) · 5.09 KB
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import matplotlib.cbook as cbook
import matplotlib.artist as martist
class Container(tuple):
"""
Base class for containers.
Containers are classes that collect semantically related Artists such as
the bars of a bar plot.
"""
def __repr__(self):
return ("<{} object of {} artists>"
.format(type(self).__name__, len(self)))
def __new__(cls, *kl, **kwargs):
return tuple.__new__(cls, kl[0])
def __init__(self, kl, label=None):
self.eventson = False # fire events only if eventson
self._oid = 0 # an observer id
self._propobservers = {} # a dict from oids to funcs
self._remove_method = None
self.set_label(label)
@cbook.deprecated("3.0")
def set_remove_method(self, f):
self._remove_method = f
def remove(self):
for c in cbook.flatten(
self, scalarp=lambda x: isinstance(x, martist.Artist)):
if c is not None:
c.remove()
if self._remove_method:
self._remove_method(self)
def get_label(self):
"""
Get the label used for this artist in the legend.
"""
return self._label
def set_label(self, s):
"""
Set the label to *s* for auto legend.
ACCEPTS: string or anything printable with '%s' conversion.
"""
if s is not None:
self._label = '%s' % (s, )
else:
self._label = None
self.pchanged()
def add_callback(self, func):
"""
Adds a callback function that will be called whenever one of
the :class:`Artist`'s properties changes.
Returns an *id* that is useful for removing the callback with
:meth:`remove_callback` later.
"""
oid = self._oid
self._propobservers[oid] = func
self._oid += 1
return oid
def remove_callback(self, oid):
"""
Remove a callback based on its *id*.
.. seealso::
:meth:`add_callback`
For adding callbacks
"""
try:
del self._propobservers[oid]
except KeyError:
pass
def pchanged(self):
"""
Fire an event when property changed, calling all of the
registered callbacks.
"""
for oid, func in list(self._propobservers.items()):
func(self)
def get_children(self):
return [child for child in cbook.flatten(self) if child is not None]
class BarContainer(Container):
"""
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.
"""
def __init__(self, patches, errorbar=None, **kwargs):
self.patches = patches
self.errorbar = errorbar
Container.__init__(self, patches, **kwargs)
class ErrorbarContainer(Container):
"""
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 : :class:`~matplotlib.lines.Line2D` instance of
x, y plot markers and/or line.
- caplines : tuple of :class:`~matplotlib.lines.Line2D` instances of
the error bar caps.
- barlinecols : list of :class:`~matplotlib.collections.LineCollection`
with the horizontal and vertical error ranges.
has_xerr, has_yerr : bool
``True`` if the errorbar has x/y errors.
"""
def __init__(self, lines, has_xerr=False, has_yerr=False, **kwargs):
self.lines = lines
self.has_xerr = has_xerr
self.has_yerr = has_yerr
Container.__init__(self, lines, **kwargs)
class StemContainer(Container):
"""
Container for the artists created in a :meth:`.Axes.stem` plot.
The container can be treated like a namedtuple ``(markerline, stemlines,
baseline)``.
Attributes
----------
markerline : :class:`~matplotlib.lines.Line2D`
The artist of the markers at the stem heads.
stemlines : list of :class:`~matplotlib.lines.Line2D`
The artists of the vertical lines for all stems.
baseline : :class:`~matplotlib.lines.Line2D`
The artist of the horizontal baseline.
"""
def __init__(self, markerline_stemlines_baseline, **kwargs):
markerline, stemlines, baseline = markerline_stemlines_baseline
self.markerline = markerline
self.stemlines = stemlines
self.baseline = baseline
Container.__init__(self, markerline_stemlines_baseline, **kwargs)