Matplotlib.patches.RegularPolygon

Python matplotlib.patches.RegularPolygon类的作用是添加一个正多边形补丁。

语法:

matplotlib.patches.RegularPolygon(xy, numVertices, radius=5, orientation=0, **kwargs)

参数:

• xy:中心长度为2的元组(x, y)。
• numVertices:它表示顶点的数量。

• radius:从中心到每个顶点的距离。

• orientation:用于旋转多边形(以弧度为单位)。

示例1

import matplotlib.pyplot as plt
from matplotlib.patches import RegularPolygon
import numpy as np
 
 
coord = [[0, 0, 0],
         [0, 1, -1],
         [-1, 1, 0],
         [-1, 0, 1],
         [0, -1, 1],
         [1, -1, 0],
         [1, 0, -1]]
 
colors = [["Green"],
          ["Green"],
          ["Green"],
          ["Green"],
          ["Green"],
          ["Green"],
          ["Green"]]
 
labels = [['1'], ['2'],
          ['3'], ['4'],
          ['5'], ['6'],
          ['7']]
 
# Horizontal cartesian coords
hcoord = for c in coord]
 
# Vertical cartersian coords
vcoord = [2. * np.sin(np.radians(60)) * (c[1] - c[2]) /3.
          for c in coord]
 
fig, ax = plt.subplots(1)
ax.set_aspect('equal')
 
# Add some coloured hexagons
for x, y, c, l in zip(hcoord, vcoord, colors, labels):
     
    # matplotlib understands lower
    # case words for colours
    color = c[0].lower()
    hex = RegularPolygon((x, y),
                         numVertices = 6,
                         radius = 2. / 3.,
                         orientation = np.radians(30),
                         facecolor = color,
                         alpha = 0.2,
                         edgecolor ='k')
     
    ax.add_patch(hex)
     
    # Also add a text label
    ax.text(x, y + 0.2, l[0], ha ='center',
            va ='center', size = 20)
 
# add scatter points in hexagon centers
ax.scatter(hcoord, vcoord, c =.lower()
                               for c in colors],
           alpha = 0.5)
 
plt.show()

输出:

示例2

import matplotlib.pyplot as plt
from matplotlib.patches import RegularPolygon
from matplotlib.collections import PatchCollection
import numpy as np
 
 
xy = np.random.random((10, 2))
z = np.random.random(10)
 
patches = [RegularPolygon((x, y),
                          5, 0.1)
           for x, y in xy]
 
collection = PatchCollection(patches,
                             array = z,
                             edgecolors ='brown',
                             lw = 2)
 
fig, ax = plt.subplots()
 
ax.patch.set(facecolor ='green')
ax.add_collection(collection)
ax.autoscale()
 
plt.show()

输出: