Breaking News: Grepper is joining You.com. Read the official announcement!

how to check for normality in python

Wissam answered on August 5, 2023 Popularity 6/10 Helpfulness 5/10

answer how to check for normality in python

how to check for normality in python

Comment

import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
# Residuals should follow a normal distribution
residuals = model.resid

# Create a 1x2 plot figure.
fig, axes = plt.subplots(1, 2, figsize = (8,4))

# Create a histogram with the residuals.
sns.histplot(residuals, ax=axes[0])

# Set the x label of the residual plot.
axes[0].set_xlabel("Residual Value")

# Set the title of the residual plot.
axes[0].set_title("Histogram of Residuals")

# Create a QQ plot of the residuals.
sm.qqplot(residuals, line='s',ax = axes[1])

# Set the title of the QQ plot.
axes[1].set_title("Normal QQ Plot")

# Use matplotlib's tight_layout() function to add space between plots 
# for a cleaner appearance.
plt.tight_layout()

# Show the plot.
plt.show()

Popularity 6/10 Helpfulness 5/10 Language python

Source: Grepper

Tags: model python regression

Link to this answer
Share Copy Link

Contributed on Aug 05 2023

Wissam

0 Answers Avg Quality 2/10

how to check for normality in python

Contents

More Related Answers

how to check for normality in python

Grepper

Documentation

Social

Legal

Contact

Oops, You will need to install Grepper and log-in to perform this action.