熱成像圖

%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(())

極坐標(biāo)圖

%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([])

以上這篇matplotlib實(shí)現(xiàn)熱成像圖colorbar和極坐標(biāo)圖的方法就是小編分享給大家的全部?jī)?nèi)容了，希望能給大家一個(gè)參考，也希望大家多多支持武林站長(zhǎng)站。