I would like to change the transparency of the grid in matplotlib 3d plot.
But I find that it is not as easy as in 2d, which is simply plt.grid(alpha=0.2).
Here I give a mini code
import numpy as np
import matplotlib.pyplot as plt
data = np.random.randn(3, 100)
fig = plt.figure()
ax = fig.add_subplot(projection='3d')
ax.scatter(data[0], data[1], data[2])
# How to change the grid transparency?
plt.show()

How to set the transparency of the x,y,z-grids?
I have tried:
Using ax.zaxis._axinfo['grid'].update({"alpha": 0.1}). But it appears that it does not have the key alpha.
I checked the source code of ax.grid() here in github. From the comments, it seems that the alpha functionality is not implemented for 3d case at all.
plt.grid does not seem to do anything for 3d plots. But you can set the color as a RGB+Alpha tuple using rcparams:
import numpy as np
import matplotlib.pyplot as plt
# fourth parameter is alpha=0.1
plt.rcParams['grid.color'] = (0.5, 0.5, 0.5, 0.1)
data = np.random.randn(3, 100)
fig = plt.figure()
ax = plt.axes(projection ="3d")
ax.scatter(data[0], data[1], data[2])
plt.show()
Result:

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