Created
November 26, 2019 13:25
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| import matplotlib.pyplot as plt | |
| import seaborn as sns | |
| plt.figure(figsize=(10,10)) | |
| sns.set(font_scale=1.5) | |
| ax=sns.heatmap(df.corr(), cmap = "RdBu_r") | |
| bottom, top = ax.get_ylim() | |
| ax.set_ylim(bottom + 0.5, top - 0.5) | |
| plt.tight_layout() | |
| plt.savefig('pearson.png') | |
| plt.show() |
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