How to Plot the Correlation Matrix Using Matplotlib Library
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Condition for Plotting the Correlation Matrix Using Matplotlib Library
Description:
A correlation matrix is a table that shows the correlation coefficients between many variables. It is a useful tool for identifying relationships between different variables in a dataset. The correlation matrix is often plotted as a heatmap to visualize the strength of correlations.
Step-by-Step Process
Import the Required Libraries:
Use Pandas for handling the dataset, Matplotlib for basic plotting, and Seaborn for enhanced heatmap visualization.
Prepare the Data:
Load or create the dataset and ensure it's in a numerical format for correlation analysis.
Compute the Correlation Matrix:
Use the .corr() method from Pandas to compute the correlation matrix of the dataset.
Plot the Correlation Matrix:
Use Matplotlib to generate a heatmap of the correlation matrix.
Sample Source Code
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns