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Create 2D bar graphs in different planes — Matplotlib 3.11.2 documentation
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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()
bars3d [bars3d]

Tags: plot-type: 3D plot-type: bar styling: color level: beginner

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