How to create Correlation Plots in the StatsModels library?

This recipe describes how to create Correlation Plots in the StatsModels library

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Recipe Objective - How to create Correlation Plots in the StatsModels library?

Correlation Plots is used to plot the correlation of many variables in a tight color grid.

It belongs to a class statsmodels.graphics.correlation.plot_corr(dcorr, xnames=None, ynames=None, title=None, normcolor=False, ax=None, cmap='RdYlBu_r')

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Example:

# Importing libraries
import numpy as np
import matplotlib.pyplot as plt
import statsmodels.graphics.api as smg
import statsmodels.api as sm

# Importing anes96 dataset in the form of pandas dataframe
data = sm.datasets.anes96.load_pandas().data

# Correlation matrix
correlation_matrix = np.corrcoef(data.T)

# Correlation plot
smg.plot_corr(correlation_matrix, xnames=data.columns)
plt.show()

In this way, we can create Correlation Plots in the StatsModels library.

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