热成像图
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%matplotlib inline
from matplotlib import pyplot as plt
import numpy as np
def f(x, y):
return (1 - x / 2 + x ** 5 + y ** 3) * np.exp(-x ** 2 - y ** 2)
n = 10
x = 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(())
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极坐标图
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%matplotlib inline
from matplotlib import pyplot as plt
import numpy as np
ax = plt.subplot(1, 1, 1, polar=True)
#ax = plt.plot( polar=True)
N = 20
theta = 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([])
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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