本文整理汇总了Python中matplotlib.collections.PatchCollection.get_label方法的典型用法代码示例。如果您正苦于以下问题：Python PatchCollection.get_label方法的具体用法？Python PatchCollection.get_label怎么用？Python PatchCollection.get_label使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类matplotlib.collections.PatchCollection的用法示例。
在下文中一共展示了PatchCollection.get_label方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: plot_segmentlist
# 需要导入模块: from matplotlib.collections import PatchCollection [as 别名]
# 或者: from matplotlib.collections.PatchCollection import get_label [as 别名]
def plot_segmentlist(self, segmentlist, y=None, collection=True,
label=None, rasterized=None, **kwargs):
"""Plot a `~gwpy.segments.SegmentList` onto these axes
Parameters
----------
segmentlist : `~gwpy.segments.SegmentList`
list of segments to display
y : `float`, optional
y-axis value for new segments
collection : `bool`, default: `True`
add all patches as a
`~matplotlib.collections.PatchCollection`, doesn't seem
to work for hatched rectangles
label : `str`, optional
custom descriptive name to print as y-axis tick label
**kwargs
any other keyword arguments acceptable for
`~matplotlib.patches.Rectangle`
Returns
-------
collection : `~matplotlib.patches.PatchCollection`
list of `~matplotlib.patches.Rectangle` patches
"""
if y is None:
y = self.get_next_y()
patches = []
for seg in segmentlist:
patches.append(self.build_segment(seg, y, **kwargs))
try:
if not self.epoch:
self.set_epoch(segmentlist[0][0])
else:
self.set_epoch(min(self.epoch, segmentlist[0][0]))
except IndexError:
pass
if collection:
coll = PatchCollection(patches, len(patches) != 0)
coll.set_rasterized(rasterized)
if collection == 'ignore':
coll._ignore = True
else:
coll._ignore = False
coll._ypos = y
out = self.add_collection(coll)
# reset label with tex-formatting now
# matplotlib default label is applied by add_collection
# so we can only replace the leading underscore after
# this point
if label is None:
label = coll.get_label()
if rcParams['text.usetex']:
label = rUNDERSCORE.sub(r'\_', str(label))
coll.set_label(label)
else:
out = []
for p in patches:
p.set_label(label)
p.set_rasterized(rasterized)
label = ''
out.append(self.add_patch(p))
self.autoscale(axis='y')
return out示例2: plot_segmentlist
# 需要导入模块: from matplotlib.collections import PatchCollection [as 别名]
# 或者: from matplotlib.collections.PatchCollection import get_label [as 别名]
def plot_segmentlist(self, segmentlist, y=None, height=.8, label=None,
collection=True, rasterized=None, **kwargs):
"""Plot a `~gwpy.segments.SegmentList` onto these axes
Parameters
----------
segmentlist : `~gwpy.segments.SegmentList`
list of segments to display
y : `float`, optional
y-axis value for new segments
collection : `bool`, default: `True`
add all patches as a
`~matplotlib.collections.PatchCollection`, doesn't seem
to work for hatched rectangles
label : `str`, optional
custom descriptive name to print as y-axis tick label
**kwargs
any other keyword arguments acceptable for
`~matplotlib.patches.Rectangle`
Returns
-------
collection : `~matplotlib.patches.PatchCollection`
list of `~matplotlib.patches.Rectangle` patches
"""
# get colour
facecolor = kwargs.pop('facecolor', kwargs.pop('color', '#629fca'))
if is_color_like(facecolor):
kwargs.setdefault('edgecolor', tint(facecolor, factor=.5))
# get y
if y is None:
y = self.get_next_y()
# build patches
patches = [SegmentRectangle(seg, y, height=height, facecolor=facecolor,
**kwargs) for seg in segmentlist]
if collection: # map to PatchCollection
coll = PatchCollection(patches, match_original=patches,
zorder=kwargs.get('zorder', 1))
coll.set_rasterized(rasterized)
coll._ignore = collection == 'ignore'
coll._ypos = y
out = self.add_collection(coll)
# reset label with tex-formatting now
# matplotlib default label is applied by add_collection
# so we can only replace the leading underscore after
# this point
if label is None:
label = coll.get_label()
coll.set_label(to_string(label))
else:
out = []
for patch in patches:
patch.set_label(label)
patch.set_rasterized(rasterized)
label = ''
out.append(self.add_patch(patch))
self.autoscale(enable=None, axis='both', tight=False)
return out