To show different colors for points and line in a Seaborn regplot, we can take the following steps −
Set the figure size and adjust the padding between and around the subplots.
Make a Pandas dataframe with key X-axis and Y-axis.
Plot numeric independent variables with regression model.
To display the figure, use show() method.
Example
import pandas
import matplotlib.pylab as plt
import seaborn as sns
import numpy as np
plt.rcParams["figure.figsize"] = [7.50, 3.50]
plt.rcParams["figure.autolayout"] = True
df = pandas.DataFrame({"X-Axis": [np.random.randint(5) for i in range(10)], "Y-Axis": [np.random.randint(5) for i in range(10)]})
sns.regplot(x='X-Axis', y='Y-Axis', data=df, scatter_kws={"color": "red"}, line_kws={"color": "green"})
plt.show()Output
