adjustable keyword argument for setting equal aspect ratios in 3D#

While setting equal aspect ratios for 3D plots, users can choose to modify either the data limits or the bounding box.

import matplotlib.pyplot as plt
import numpy as np
from itertools import combinations, product

aspects = ('auto', 'equal', 'equalxy', 'equalyz', 'equalxz')
fig, axs = plt.subplots(1, len(aspects), subplot_kw={'projection': '3d'},
                        figsize=(12, 6))

# Draw rectangular cuboid with side lengths [4, 3, 5]
r = [0, 1]
scale = np.array([4, 3, 5])
pts = combinations(np.array(list(product(r, r, r))), 2)
for start, end in pts:
    if np.sum(np.abs(start - end)) == r[1] - r[0]:
        for ax in axs:
            ax.plot3D(*zip(start*scale, end*scale), color='C0')

# Set the aspect ratios
for i, ax in enumerate(axs):
    ax.set_aspect(aspects[i], adjustable='datalim')
    # Alternatively: ax.set_aspect(aspects[i], adjustable='box')
    # which will change the box aspect ratio instead of axis data limits.

(Source code, png)