How do I plot a 2 x 2 three dimensional figure of scatter based subplots in python to make them even-CodePudding

These are my configurations using matplotlib for my plotting figures

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

fig = plt.figure()
ax_tl = fig.add_subplot(211, projection='3d')
ax_br = fig.add_subplot(221, projection='3d')
ax_Y0 = fig.add_subplot(212, projection='3d')
ax_Y1 = fig.add_subplot(222, projection='3d')

I tried many different combinations of fig.add_plot() first argument and drew inspiration from this document.

Im currently considering just to plot them separately if its not worth the hassle.

So the question is, how do I plot a 2 x 2 three dimensional figure of scatter based subplots in python to make them evenly spread out across the figure? My current code makes the plots squished together

CodePudding user response：

This should do what you want:

import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
from mpl_toolkits.mplot3d import Axes3D

fig = plt.figure()
spec = gridspec.GridSpec(ncols=2, nrows=2, figure=fig)
ax_tl = fig.add_subplot(spec[0, 0], projection='3d')
ax_br = fig.add_subplot(spec[0, 1], projection='3d')
ax_Y0 = fig.add_subplot(spec[1, 0], projection='3d')
ax_Y1 = fig.add_subplot(spec[1, 1], projection='3d')