Make 3D Plot Interactive in Jupyter Notebook using Python and 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