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 np import matplotlib.pyplot as plt # first define the ratios r1 = 0.2 # 20% r2 = r1 + 0.4 # 40% # define some sizes of the scatter marker sizes = 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,sin x = [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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