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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
Updated on: 03-Jun-2021
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