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How to add a 3d subplot to a matplotlib figure?
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.
Example
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) plt.show()
Output
It will produce the following output −
Updated on: 20-Sep-2021
3K+ Views
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