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how to check for normality in python

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

answer how to check for normality in python

how to check for normality in python

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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 5/10 Helpfulness 6/10 Language python

Source: Grepper

Tags: model python regression

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Contributed on Aug 05 2023

Wissam

0 Answers Avg Quality 2/10

how to check for normality in python

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