In a profile histogram, each bin contains the mean of its entries. To plot profile histograms in Python, we can use the regplot method from Seaborn.
Steps
Set the figure size and adjust the padding between and around the subplots.
Create x and y data points using numpy.
Use seaborn.regplot to plot the data and a linear regress model fit. Use the parameter x_bins to bin the x variable into discrete bins. Use fit_reg=True to plot the regression model relating the x and y variables.
To display the figure, use Show() method.
Example
import numpy as np import seaborn as sns from matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True x = np.random.uniform(-5, 5, 1000) y = np.random.normal(x**2, np.abs(x) + 1) sns.regplot(x=x, y=y, x_bins=20, marker='o', fit_reg=True) plt.show()
Output
It will produce the following output −
