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How to obtain 3D colored surface via Python?
To obtain 3D colored surface via Python, we can take the following steps −
Steps
Set the figure size and adjust the padding between and around the subplots.
Create x and y data points using numpy.
Get 3D data, i.e., z.
Create a new figure or activate an existing figure.
Get the 3D axes.
Create a surface plot.
To display the figure, use show() method.
Example
import numpy as np
import matplotlib.pyplot as plt
plt.rcParams["figure.figsize"] = [7.50, 3.50]
plt.rcParams["figure.autolayout"] = True
x = np.linspace(-3, 3, 100)
y = np.cos(x)
x, y = np.meshgrid(x, y)
z = x ** 2 + y ** 2 - 2
fig = plt.figure()
ax = plt.axes(projection='3d')
surf = ax.plot_surface(x, y, z,
cmap=plt.get_cmap('hot'),
edgecolor='none')
plt.show()Output
It will produce the following output −
Updated on: 02-Feb-2022
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