Posted in Python onJanuary 02, 2018
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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Python+matplotlib+numpy实现在不同平面的二维条形图
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