Matplotlib：在3D图中显示 [英] Matplotlib: imshow in 3d plot

问题描述

在下面的绘图中（取自matplotlib的画廊），contourf用于在3d图形下方创建2d图形。我的问题是，可以使用imshow做同样的事情吗？我希望2d图中的颜色更平滑。

In the plot below, taken from matplotlib's gallery, contourf is used to create a 2d plot beneath the 3d one. My question is, is it possible to use imshow to do the same thing? I would like the colors in the 2d plot to be smoother.

制作2d图似乎是可能的，因为Contourf接受zdir参数，而我看过但imshow却没有。那表明不可能，但是为什么不呢？ pcolor也可以完成工作，这可能吗？

Making the 2d plot seems to be possible because contourf accepts a zdir argument, while I've looked and imshow doesn't. That suggests that it isn't possible, but why not? pcolor would also get the job done, is it possible with that?

推荐答案

只需为contourf指定levels =选项，例如

Just specify the levels= option for the contourf, e.g.

from mpl_toolkits.mplot3d import axes3d
import matplotlib.pyplot as plt,numpy as np
plt.clf()
fig = plt.figure(1)
ax = fig.gca(projection='3d')
X, Y, Z = axes3d.get_test_data(0.05)
ax.plot_surface(X, Y, Z, rstride=8, cstride=8, alpha=0.3)
cset = ax.contourf(X, Y, Z, zdir='z', offset=-100,
        levels=np.linspace(-100,100,1200),cmap=plt.cm.jet)
cset = ax.contourf(X, Y, Z, zdir='x', offset=-40, cmap=plt.cm.jet)
cset = ax.contourf(X, Y, Z, zdir='y', offset=40, cmap=plt.cm.jet)
ax.set_xlabel('X')
ax.set_xlim(-40, 40)
ax.set_ylabel('Y')
ax.set_ylim(-40, 40)
ax.set_zlabel('Z')
ax.set_zlim(-100, 100)    
plt.show()

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