How to add a 3d subplot to a matplotlib figure?

MatplotlibPythonData Visualization

To add a 3D subplot to a matplotlib figure, we can take the following steps −

  • Set the figure size and adjust the padding between and around the subplots.
  • Create x, y and z data points using numpy.
  • Create a new figure or activate an existing figure.
  • Add an 'ax' to the figure as part of a subplot arrangement with projection='3d'.
  • Plot x, y and z data points using plot() method.
  • To display the figure, use .show() method.


from matplotlib import pyplot as plt
import numpy as np

# Set the figure size
plt.rcParams["figure.figsize"] = [7.00, 3.50]
plt.rcParams["figure.autolayout"] = True

# Create x, y and z data points using numpy
x = np.linspace(-5, 5, 100)
y = np.linspace(-5, 5, 100)
z = x ** 2 + y ** 2

fig = plt.figure()

# add subplot with projection='3d'
ax = fig.add_subplot(111, projection='3d')

# Plot x, y and z data points
ax.plot(x, y, z, color='red', lw=7)


It will produce the following output −

Updated on 20-Sep-2021 09:09:37