Matplotlib 3D plot zorder issue

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Since Matplotlib 3.5.0 there is a setting for axis3d which solves this problem. This setting is called computed_zorder.

Example:

ax = plt.axes(projection='3d',computed_zorder=False)
ax.plot_surface(X, Y, Z,zorder=1)
ax.plot_surface(U, V, W,zorder=2)

The element with the highest zorder will be displayed on top.

Some of the default zorder values are listed here:

Artist zorder
Images (AxesImage, FigureImage, BboxImage) 0
Patch, PatchCollection 1
Line2D, LineCollection (including minor ticks, grid lines) 2
Major ticks 2.01
Text (including axes labels and titles) 3
Legend 5

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