How to change the line color in a Seaborn linear regression jointplot?

To change the line color in seaborn linear regression jointplot, we can use joint_kws in jointplot() method.

Steps

• Set the figure size and adjust the padding between and around the subplots.
• Create x and y data points using numpy to make a Pandas dataframe.
• Use jointplot() method with joint_kws in the arguments.
• To display the figure, use show() method.

Example

import seaborn as sns import numpy as np from matplotlib import pyplot as plt import pandas as pd plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True X = np.random.randn(1000,) Y = 0.2 * np.random.randn(1000) + 0.5 df = pd.DataFrame(dict(x=X, y=Y)) g = sns.jointplot(x="x", y="y", data=df, kind='reg', height=3.5, joint_kws={'color':'green'}) plt.show()

Output