Make 3D plot interactive in Jupyter Notebook (Python & Matplotlib)

In this article, we can take a program code to show how we can make a 3D plot interactive using Jupyter Notebook.

Steps

• Create a new figure, or activate an existing figure.

• Create fig and ax variables using subplots method, where default nrows and ncols are 1, projection=’3d”.

• Get x, y and z using np.cos and np.sin function.

• Plot the 3D wireframe, using x, y, z and color="red".

• Set a title to the current axis.

• To show the figure, use plt.show() method.

Example

import matplotlib.pyplot as plt import numpy as np fig = plt.figure() ax = fig.add_subplot(111, projection='3d') u, v = np.mgrid[0:2 * np.pi:30j, 0:np.pi:20j] x = np.cos(u) * np.sin(v) y = np.sin(u) * np.sin(v) z = np.cos(v) ax.plot_wireframe(x, y, z, color="red") ax.set_title("Sphere") plt.show()

Output