本文整理汇总了Python中matplotlib.collections.RegularPolyCollection方法的典型用法代码示例。如果您正苦于以下问题：Python collections.RegularPolyCollection方法的具体用法？Python collections.RegularPolyCollection怎么用？Python collections.RegularPolyCollection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的用法示例。
在下文中一共展示了collections.RegularPolyCollection方法的7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: __init__
# 需要导入模块: from matplotlib import collections [as 别名]
# 或者: from matplotlib.collections import RegularPolyCollection [as 别名]
def __init__(self, ax, data):
self.axes = ax
self.canvas = ax.figure.canvas
self.data = data
self.Nxy = len(data)
facecolors = [d.color for d in data]
self.xys = [(d.x, d.y) for d in data]
self.collection = RegularPolyCollection(
6, sizes=(100,),
facecolors=facecolors,
offsets=self.xys,
transOffset=ax.transData)
ax.add_collection(self.collection)
self.cid = self.canvas.mpl_connect('button_press_event', self.onpress) 示例2: test_hatching
# 需要导入模块: from matplotlib import collections [as 别名]
# 或者: from matplotlib.collections import RegularPolyCollection [as 别名]
def test_hatching():
fig, ax = plt.subplots(1, 1)
# Default hatch color.
rect1 = mpatches.Rectangle((0, 0), 3, 4, hatch='/')
ax.add_patch(rect1)
rect2 = mcollections.RegularPolyCollection(4, sizes=[16000],
offsets=[(1.5, 6.5)],
transOffset=ax.transData,
hatch='/')
ax.add_collection(rect2)
# Ensure edge color is not applied to hatching.
rect3 = mpatches.Rectangle((4, 0), 3, 4, hatch='/', edgecolor='C1')
ax.add_patch(rect3)
rect4 = mcollections.RegularPolyCollection(4, sizes=[16000],
offsets=[(5.5, 6.5)],
transOffset=ax.transData,
hatch='/', edgecolor='C1')
ax.add_collection(rect4)
ax.set_xlim(0, 7)
ax.set_ylim(0, 9) 示例3: _get_handles
# 需要导入模块: from matplotlib import collections [as 别名]
# 或者: from matplotlib.collections import RegularPolyCollection [as 别名]
def _get_handles(ax):
handles = ax.lines[:]
handles.extend(ax.patches)
handles.extend([c for c in ax.collections
if isinstance(c, mcoll.LineCollection)])
handles.extend([c for c in ax.collections
if isinstance(c, mcoll.RegularPolyCollection)])
handles.extend([c for c in ax.collections
if isinstance(c, mcoll.CircleCollection)])
return handles 示例4: test_regularpolycollection_rotate
# 需要导入模块: from matplotlib import collections [as 别名]
# 或者: from matplotlib.collections import RegularPolyCollection [as 别名]
def test_regularpolycollection_rotate():
xx, yy = np.mgrid[:10, :10]
xy_points = np.transpose([xx.flatten(), yy.flatten()])
rotations = np.linspace(0, 2*np.pi, len(xy_points))
fig, ax = plt.subplots()
for xy, alpha in zip(xy_points, rotations):
col = mcollections.RegularPolyCollection(
4, sizes=(100,), rotation=alpha,
offsets=xy, transOffset=ax.transData)
ax.add_collection(col, autolim=True)
ax.autoscale_view() 示例5: test_regularpolycollection_scale
# 需要导入模块: from matplotlib import collections [as 别名]
# 或者: from matplotlib.collections import RegularPolyCollection [as 别名]
def test_regularpolycollection_scale():
# See issue #3860
class SquareCollection(mcollections.RegularPolyCollection):
def __init__(self, **kwargs):
super(SquareCollection, self).__init__(
4, rotation=np.pi/4., **kwargs)
def get_transform(self):
"""Return transform scaling circle areas to data space."""
ax = self.axes
pts2pixels = 72.0 / ax.figure.dpi
scale_x = pts2pixels * ax.bbox.width / ax.viewLim.width
scale_y = pts2pixels * ax.bbox.height / ax.viewLim.height
return mtransforms.Affine2D().scale(scale_x, scale_y)
fig, ax = plt.subplots()
xy = [(0, 0)]
# Unit square has a half-diagonal of `1 / sqrt(2)`, so `pi * r**2`
# equals...
circle_areas = [np.pi / 2]
squares = SquareCollection(sizes=circle_areas, offsets=xy,
transOffset=ax.transData)
ax.add_collection(squares, autolim=True)
ax.axis([-1, 1, -1, 1]) 示例6: test_regularpolycollection_rotate
# 需要导入模块: from matplotlib import collections [as 别名]
# 或者: from matplotlib.collections import RegularPolyCollection [as 别名]
def test_regularpolycollection_rotate():
xx, yy = np.mgrid[:10, :10]
xy_points = np.transpose([xx.flatten(), yy.flatten()])
rotations = np.linspace(0, 2*np.pi, len(xy_points))
fig, ax = plt.subplots()
for xy, alpha in zip(xy_points, rotations):
col = mcollections.RegularPolyCollection(
4, sizes=(100,), rotation=alpha,
offsets=[xy], transOffset=ax.transData)
ax.add_collection(col, autolim=True)
ax.autoscale_view() 示例7: test_regularpolycollection_scale
# 需要导入模块: from matplotlib import collections [as 别名]
# 或者: from matplotlib.collections import RegularPolyCollection [as 别名]
def test_regularpolycollection_scale():
# See issue #3860
class SquareCollection(mcollections.RegularPolyCollection):
def __init__(self, **kwargs):
super().__init__(4, rotation=np.pi/4., **kwargs)
def get_transform(self):
"""Return transform scaling circle areas to data space."""
ax = self.axes
pts2pixels = 72.0 / ax.figure.dpi
scale_x = pts2pixels * ax.bbox.width / ax.viewLim.width
scale_y = pts2pixels * ax.bbox.height / ax.viewLim.height
return mtransforms.Affine2D().scale(scale_x, scale_y)
fig, ax = plt.subplots()
xy = [(0, 0)]
# Unit square has a half-diagonal of `1 / sqrt(2)`, so `pi * r**2`
# equals...
circle_areas = [np.pi / 2]
squares = SquareCollection(sizes=circle_areas, offsets=xy,
transOffset=ax.transData)
ax.add_collection(squares, autolim=True)
ax.axis([-1, 1, -1, 1])