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Plotting a 3D surface from a list of tuples in matplotlib?
To plot a 3D surface from a list of tuples in matplotlib, we can take the following steps.
Steps
Set the figure size and adjust the padding between and around the subplots.
Make a list of tuples.
Get the x, y and z data points from the list of tuples.
Return the coordinate matrices from the coordinate vectors.
Get the h data points for the surface plot.
Create a new figure or activate an existing figure.
Get the current axis, 3d, of the figure.
Create a surface plot.
To display the figure, use Show() method.
Example
import numpy as np from matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True # List of tuples data = [(1, 3, 2), (3, 5, 2), (4, 7, 4), (8, 7, 4), (3, 6, 1), (3, 9, 0), (3, 9, 0)] # Data points from the list of tuples x, y, z = zip(*data) x, y = np.meshgrid(x, y) h = x ** 2 + y ** 2 fig = plt.figure() # Get the current axis ax = fig.gca(projection='3d') # Surface plot ax.plot_surface(x, y, h, cmap='plasma') plt.show()
Output
It will produce the following output −
Updated on: 08-Oct-2021
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