matplotlib not displaying intersection of 3D planes correctly

问题

I want to plot two planes and find their intersection line, but I get this result, where it's impossible to tell where they intersect, because one plane overlays the other.

A 3D projection should hide the non-visible part of the plane, how do I attain this result using matplotlib?

You can clearly see that these to plains should intersect.

Here's the code I've used to get this result

import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D

values = range(-10, 11)

def plotPlane(plot, normal, d, values, colorName):
    # x, y, z
    x, y = np.meshgrid(values, values)
    z = (-normal[0] * x - normal[1] * y - d) * 1. / normal[2]

    # draw plot
    plot.plot_surface(x, y, z, color=colorName)

image = plt.figure().gca(projection='3d')

plotPlane(image, [3, 2, -4], 1, values, "red")
plotPlane(image, [5, -1, 2], 4, values, "gray")

plt.show()

回答1:

See How to draw intersecting planes? for a long explanation + possible work around.

The short answer in that matplotlib's 3D support is clever use of projections to generate a 2D view of the 3D object which is then rendered to the canvas. Due to the way that matplotlib renders (artist at a time) one artist is either fully above or fully below another. If you need real 3D support look into mayavi.

来源：https://stackoverflow.com/questions/20407936/matplotlib-not-displaying-intersection-of-3d-planes-correctly