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Plot a 3D surface from {x,y,z}-scatter data in Python Matplotlib
To plot a 3D surface from x, y and z scatter data in Python, we can take the following steps −
- Set the figure size and adjust the padding between and around the subplots.
- Create a new figure or activate an existing figure using figure() method.
- Add an axes to the figure as part of a subplot arrangement.
- Create x, y, X, Y and Z data points using numpy.
- Plot x, y and z data points using plot_surface() method.
- To display the figure, use show() method.
Example
import matplotlib.pyplot as plt import numpy as np plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True fig = plt.figure() ax = fig.add_subplot(111, projection='3d') x = np.array(np.linspace(-2, 2, 100)) y = np.array(np.linspace(-2, 2, 10)) X, Y = np.meshgrid(x, y) Z = X * np.exp(-X ** 2 - Y ** 2) ax.plot_surface(X, Y, Z, rstride=1, cstride=1, cmap="plasma", linewidth=0, antialiased=False) plt.show()
Output
Updated on: 05-Jun-2021
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