How to obtain 3D colored surface via Python?

MatplotlibPythonData Visualization

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 −

raja
Updated on 02-Feb-2022 10:55:15

Advertisements