Python+matplotlib+numpy实现在不同平面的二维条形图

  • Z时代
  • 2024-01-10
  • 分类：综合

在不同平面上绘制二维条形图。

本实例制作了一个3d图，其中有二维条形图投射到平面y=0，y=1，等。

演示结果：

完整代码：

from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
import numpy as np
# Fixing random state for reproducibility
np.random.seed(19680801)
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
colors = ['r', 'g', 'b', 'y']
yticks = [3, 2, 1, 0]
for c, k in zip(colors, yticks):
  # Generate the random data for the y=k 'layer'.
  xs = np.arange(20)
  ys = np.random.rand(20)
  # You can provide either a single color or an array with the same length as
  # xs and ys. To demonstrate this, we color the first bar of each set cyan.
  cs = [c] * len(xs)
  cs[0] = 'c'
  # Plot the bar graph given by xs and ys on the plane y=k with 80% opacity.
  ax.bar(xs, ys, zs=k, zdir='y', color=cs, alpha=0.8)
ax.set_xlabel('X')
ax.set_ylabel('Y')
ax.set_zlabel('Z')
# On the y axis let's only label the discrete values that we have data for.
ax.set_yticks(yticks)
plt.show()

脚本运行时间：（0分0.063秒）

总结

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