热成像图
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%matplotlib inlinefrom matplotlib import pyplot as pltimport numpy as np def f(x, y): return (1 - x / 2 + x ** 5 + y ** 3) * np.exp(-x ** 2 - y ** 2) n = 10x = np.linspace(-3, 3, 4 * n)y = np.linspace(-3, 3, 3 * n)X, Y = np.meshgrid(x, y)plt.imshow(f(X, Y), cmap='hot', origin='low')plt.colorbar(shrink=.83) plt.xticks(())plt.yticks(()) |
极坐标图
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%matplotlib inlinefrom matplotlib import pyplot as pltimport numpy as np ax = plt.subplot(1, 1, 1, polar=True)#ax = plt.plot( polar=True)N = 20theta = np.arange(0.0, 2 * np.pi, 2 * np.pi / N)radii = 10 * np.random.rand(N)width = np.pi / 4 * np.random.rand(N)bars = plt.bar(theta, radii, width=width, bottom=0.0) for r,bar in zip(radii, bars): bar.set_facecolor(plt.cm.jet(r/10.)) bar.set_alpha(0.5) ax.set_xticklabels([])ax.set_yticklabels([]) |
以上这篇matplotlib实现热成像图colorbar和极坐标图的方法就是小编分享给大家的全部内容了，希望能给大家一个参考，也希望大家多多支持服务器之家。
原文链接：https://blog.csdn.net/szfhy/article/details/82710980
