本文是从matplotlib官网上摘录下来的一个实例，实现的功能是Python+matplotlib绘制自定义饼图作为散点图的标记，具体如下。

首先看下演示效果

实例代码：

import numpy as npimport matplotlib.pyplot as plt# first define the ratiosr1 = 0.2 # 20%r2 = r1 + 0.4 # 40%# define some sizes of the scatter markersizes = np.array([60, 80, 120])# calculate the points of the first pie marker## these are just the origin (0,0) +# some points on a circle cos,sinx = [0] + np.cos(np.linspace(0, 2 * np.pi * r1, 10)).tolist()y = [0] + np.sin(np.linspace(0, 2 * np.pi * r1, 10)).tolist()xy1 = list(zip(x, y))s1 = np.max(xy1)x = [0] + np.cos(np.linspace(2 * np.pi * r1, 2 * np.pi * r2, 10)).tolist()y = [0] + np.sin(np.linspace(2 * np.pi * r1, 2 * np.pi * r2, 10)).tolist()xy2 = list(zip(x, y))s2 = np.max(xy2)x = [0] + np.cos(np.linspace(2 * np.pi * r2, 2 * np.pi, 10)).tolist()y = [0] + np.sin(np.linspace(2 * np.pi * r2, 2 * np.pi, 10)).tolist()xy3 = list(zip(x, y))s3 = np.max(xy3)fig, ax = plt.subplots()ax.scatter(range(3), range(3), marker=(xy1, 0), s=s1 ** 2 * sizes, facecolor='blue')ax.scatter(range(3), range(3), marker=(xy2, 0), s=s2 ** 2 * sizes, facecolor='green')ax.scatter(range(3), range(3), marker=(xy3, 0), s=s3 ** 2 * sizes, facecolor='red')plt.show()

总结

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