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How to visualize scalar 2D data with Matplotlib?
To visualize scalar 2D data with matplotlib, we can take the following steps −
- Set the figure size and adjust the padding between and around the subplots.
- Initialize a variable, N, for data samples.
- Create x and y data points using numpy.
- Get coordinate matrices from coordinate vectors.
- Get z data points using numpy.
- Create a pseudocolor plot with a non-regular rectangular grid.
- To display the figure, use show() method.
Example
import numpy as np from matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True n = 256 x = np.linspace(-3., 3., n) y = np.linspace(-3., 3., n) X, Y = np.meshgrid(x, y) Z = X * np.sinc(X ** 2 + Y ** 2) plt.pcolormesh(X, Y, Z, cmap='copper', shading='flat') plt.show()
Output
Updated on: 03-Aug-2021
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