QuadMesh 演示
pcolormesh 使用QuadMesh，一种更快的 pcolor 泛化，但有一些限制。
此演示说明了带有掩码数据的quadmesh中的误差。
import copy
from matplotlib import cm, pyplot as plt
import numpy as np
n = 12
x = np.linspace(-1.5, 1.5, n)
y = np.linspace(-1.5, 1.5, n * 2)
X, Y = np.meshgrid(x, y)
Qx = np.cos(Y) - np.cos(X)
Qz = np.sin(Y) + np.sin(X)
Z = np.sqrt(X**2 + Y**2) / 5
Z = (Z - Z.min()) / (Z.max() - Z.min())
# The color array can include masked values.
Zm = np.ma.masked_where(np.abs(Qz) < 0.5 * np.max(Qz), Z)
fig, axs = plt.subplots(nrows=1, ncols=3)
axs[0].pcolormesh(Qx, Qz, Z, shading='gouraud')
axs[0].set_title('Without masked values')
# You can control the color of the masked region. We copy the default colormap
# before modifying it.
cmap = copy.copy(cm.get_cmap(plt.rcParams['image.cmap']))
cmap.set_bad('y', 1.0)
axs[1].pcolormesh(Qx, Qz, Zm, shading='gouraud', cmap=cmap)
axs[1].set_title('With masked values')
# Or use the default, which is transparent.
axs[2].pcolormesh(Qx, Qz, Zm, shading='gouraud')
axs[2].set_title('With masked values')
fig.tight_layout()
plt.show()
参考
下面的示例演示了以下函数和方法的使用：
import matplotlib
matplotlib.axes.Axes.pcolormesh
matplotlib.pyplot.pcolormesh