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Displaying rotatable 3D plots in IPython or Jupyter Notebook
By creating a 3D projection on the axis and iterating that axis for different angles using view_init(), we can rotate the output diagram.
Steps
Create a new figure, or activate an existing figure.
Add an `~.axes.Axes` to the figure as part of a subplot arrangement with nrow = 1, ncols = 1, index = 1, and projection = '3d'.
Use the method, get_test_data to return a tuple X, Y, Z with a test dataset.
Plot a 3D wireframe with data test data x, y, and z.
To make it rotatable, we can set the elevation and azimuth of the axes in degrees (not radians), using view_init() method.
To show the figure, use plt.show() method.
Example
from mpl_toolkits.mplot3d import axes3d import matplotlib.pyplot as plt fig = plt.figure() ax = fig.add_subplot(111, projection='3d') X, Y, Z = axes3d.get_test_data(0.1) ax.plot_wireframe(X, Y, Z, rstride=5, cstride=5) # rotate the axes and update for angle in range(0, 360): ax.view_init(30, angle) plt.show()
Output
Updated on: 17-Mar-2021
3K+ Views
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