How to Zoom with Axes3D in Matplotlib?

MatplotlibPythonData Visualization

To zoom with Axes3D, we can take the following 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.
  • Get 3D axes object using Axes3D(fig) method.
  • Plot x, y and z data points using scatter() method.
  • To display the figure, use show() method.

Example

from mpl_toolkits.mplot3d import Axes3D
from matplotlib import pyplot as plt

plt.rcParams["figure.figsize"] = [7.50, 3.50]
plt.rcParams["figure.autolayout"] = True

fig = plt.figure()
ax = Axes3D(fig)
x = [2, 4, 6, 3, 1]
y = [1, 6, 8, 1, 3]
z = [3, 4, 10, 3, 1]

ax.scatter3D(x, y, z, c=z, alpha=1, marker='d', s=150)
plt.show()

Output

raja
Published on 10-Jun-2021 11:44:20
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