How to make joint bivariate distributions in Matplotlib?

MatplotlibPythonData Visualization

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

raja
Published on 03-Jun-2021 13:37:19
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