Creating a 3D plot in Matplotlib from a 3D numpy array

MatplotlibPythonData Visualization

To create a 3D plot from a 3D numpy array, we can create a 3D array using numpy and extract the x, y, and z points.

  • Create a new figure or activate an existing figure using figure() method.
  • Add an '~.axes.Axes' to the figure as part of a subplot arrangement using add_subplot() method.
  • Create a random data of size=(3, 3, 3).
  • Extract x, y, and z data from the 3D array.
  • Plot 3D scattered points on the created axis
  • To display the figure, use show() method.

Example

import numpy as np
from matplotlib import pyplot as plt
plt.rcParams["figure.figsize"] = [7.00, 3.50]
plt.rcParams["figure.autolayout"] = True
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
data = np.random.random(size=(3, 3, 3))
z, x, y = data.nonzero()
ax.scatter(x, y, z, c=z, alpha=1)
plt.show()

Output

raja
Published on 15-May-2021 11:59:39
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