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?

Question

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

do you mean something like this: [matploblib 2D collections in 3D](https://matplotlib.org/stable/gallery/mplot3d/2dcollections3d.html) ? — mozway, Sep 14 '21 at 17:23
nope, I need to plot a 2 x 2 figure of 3d subplots that is evenly spread out across the figure so as to make it more easily readable. My current code makes the plots squished together — pysolver33, Sep 14 '21 at 17:30

score 1 · Accepted Answer · answered Sep 14 '21 at 17:36

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')

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?

1 Answers1