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How to make joint bivariate distributions in Matplotlib?
To make joint bivariate distributions in matplotlib, we can use the scatter method.
Steps
Set the figure size and adjust the padding between and around the subplots.
Create x and y data points using numpy.
Create a figure and a set of subplots.
Plot x and y using scatter() method.
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 x = 2 * np.random.randn(5000) y = x + np.random.randn(5000) fig, ax = plt.subplots() _ = ax.scatter(x, y, alpha=0.08, cmap="copper", c=x) plt.show()
Output
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