How to plot scatter points in a 3D figure with a colorbar in Matplotlib?

Matplotlib Python Data Visualization

To plot scatter points in a 3D figure with a colorbar in matplotlib, we can use the scatter() and colorbar() methods.

Steps

Set the figure size and adjust the padding between and around the subplots.
Create a new figure or activate an existing figure using figure() method.
Add an axis as a subplot arrangement.
Create xs, ys and zs data points using numpy.
Use scatter() method to create a scatter plot.
Use colorbar() method with scatter scalar mappable instance for colorbar.
To display the figure, use show() method.

Example

import numpy as np
from matplotlib import pyplot as plt
plt.rcParams["figure.figsize"] = [7.50, 3.50]
plt.rcParams["figure.autolayout"] = True
fig = plt.figure()
ax = fig.add_subplot(projection="3d")
xs = np.random.rand(100)
ys = np.random.rand(100)
zs = np.random.rand(100)
sc = ax.scatter(xs, ys, zs, c=xs, cmap="copper")
plt.colorbar(sc)
plt.show()

Output

Rishikesh Kumar Rishi

Published on 03-Jun-2021 12:54:01

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