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- import seaborn as sns
- import matplotlib.pyplot as plt
- data = sns.load_dataset('iris')
- data = data.drop(columns='species',axis=1)
- print(data)
- data_corr = data.corr()
- print(data_corr)
- sns.heatmap(data_corr,cmap='coolwarm',annot=True)
- plt.show()
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