本文整理汇总了Python中matplotlib.path.get_path_collection_extents方法的典型用法代码示例。如果您正苦于以下问题：Python path.get_path_collection_extents方法的具体用法？Python path.get_path_collection_extents怎么用？Python path.get_path_collection_extents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.path的用法示例。
在下文中一共展示了path.get_path_collection_extents方法的3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: get_datalim
# 需要导入模块: from matplotlib import path [as 别名]
# 或者: from matplotlib.path import get_path_collection_extents [as 别名]
def get_datalim(self, transData):
transform = self.get_transform()
transOffset = self.get_offset_transform()
offsets = self._offsets
paths = self.get_paths()
if not transform.is_affine:
paths = [transform.transform_path_non_affine(p) for p in paths]
transform = transform.get_affine()
if not transOffset.is_affine:
offsets = transOffset.transform_non_affine(offsets)
transOffset = transOffset.get_affine()
offsets = np.asanyarray(offsets, np.float_)
if np.ma.isMaskedArray(offsets):
offsets = offsets.filled(np.nan)
# get_path_collection_extents handles nan but not masked arrays
offsets.shape = (-1, 2) # Make it Nx2
if paths:
result = mpath.get_path_collection_extents(
transform.frozen(), paths, self.get_transforms(),
offsets, transOffset.frozen())
result = result.inverse_transformed(transData)
else:
result = transforms.Bbox([[0, 0], [0, 0]])
return result 示例2: get_datalim
# 需要导入模块: from matplotlib import path [as 别名]
# 或者: from matplotlib.path import get_path_collection_extents [as 别名]
def get_datalim(self, transData):
transform = self.get_transform()
transOffset = self.get_offset_transform()
offsets = self._offsets
paths = self.get_paths()
if not transform.is_affine:
paths = [transform.transform_path_non_affine(p) for p in paths]
transform = transform.get_affine()
if not transOffset.is_affine:
offsets = transOffset.transform_non_affine(offsets)
transOffset = transOffset.get_affine()
offsets = np.asanyarray(offsets, np.float_)
if np.ma.isMaskedArray(offsets):
offsets = offsets.filled(np.nan)
# get_path_collection_extents handles nan but not masked arrays
offsets.shape = (-1, 2) # Make it Nx2
if len(paths) and len(offsets):
result = mpath.get_path_collection_extents(
transform.frozen(), paths, self.get_transforms(),
offsets, transOffset.frozen())
result = result.inverse_transformed(transData)
else:
result = transforms.Bbox.null()
return result 示例3: getbb
# 需要导入模块: from matplotlib import path [as 别名]
# 或者: from matplotlib.path import get_path_collection_extents [as 别名]
def getbb(sc, ax):
"""
Function to return a list of bounding boxes in data coordinates for a scatter plot.
Directly taken from https://stackoverflow.com/questions/55005272/
"""
ax.figure.canvas.draw() # need to draw before the transforms are set.
transform = sc.get_transform()
transOffset = sc.get_offset_transform()
offsets = sc._offsets
paths = sc.get_paths()
transforms = sc.get_transforms()
if not transform.is_affine:
paths = [transform.transform_path_non_affine(p) for p in paths]
transform = transform.get_affine()
if not transOffset.is_affine:
offsets = transOffset.transform_non_affine(offsets)
transOffset = transOffset.get_affine()
if isinstance(offsets, np.ma.MaskedArray):
offsets = offsets.filled(np.nan)
bboxes = []
if len(paths) and len(offsets):
if len(paths) < len(offsets):
# for usual scatters you have one path, but several offsets
paths = [paths[0]] * len(offsets)
if len(transforms) < len(offsets):
# often you may have a single scatter size, but several offsets
transforms = [transforms[0]] * len(offsets)
for p, o, t in zip(paths, offsets, transforms):
result = get_path_collection_extents(
transform.frozen(), [p], [t], [o], transOffset.frozen()
)
bboxes.append(result.inverse_transformed(ax.transData))
return bboxes