matplotlib 3.5.1

>>> """
========================================
Create 2D bar graphs in different planes
========================================

Demonstrates making a 3D plot which has 2D bar graphs projected onto
planes y=0, y=1, etc.
"""
... 
... import matplotlib.pyplot as plt
... import numpy as np
... 
... # Fixing random state for reproducibility
... np.random.seed(19680801)
... 
... 
... fig = plt.figure()
... ax = fig.add_subplot(projection='3d')
... 
... colors = ['r', 'g', 'b', 'y']
... yticks = [3, 2, 1, 0]
... for c, k in zip(colors, yticks):
...  # Generate the random data for the y=k 'layer'.
...  xs = np.arange(20)
...  ys = np.random.rand(20)
... 
...  # You can provide either a single color or an array with the same length as
...  # xs and ys. To demonstrate this, we color the first bar of each set cyan.
...  cs = [c] * len(xs)
...  cs[0] = 'c'
... 
...  # Plot the bar graph given by xs and ys on the plane y=k with 80% opacity.
...  ax.bar(xs, ys, zs=k, zdir='y', color=cs, alpha=0.8)
... 
... ax.set_xlabel('X')
... ax.set_ylabel('Y')
... ax.set_zlabel('Z')
... 
... # On the y axis let's only label the discrete values that we have data for.
... ax.set_yticks(yticks)
... 
... plt.show()
...