Created
June 19, 2020 08:50
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import ppscore as pps | |
import matplotlib.pyplot as plt | |
df1_styler = df.corr().abs().style.set_table_attributes("style='display:inline'").set_caption('Correlation Table') | |
df2_styler = pps.matrix(df).style.set_table_attributes("style='display:inline'").set_caption('PPS Table') | |
fig, ax =plt.subplots(nrows=2, ncols=2,figsize=(16,8)) | |
display_html(df1_styler._repr_html_()+df2_styler._repr_html_(), raw=True) | |
sns.heatmap(df.corr().abs(),annot=True, ax = ax[0,0]).set_title("corr") | |
sns.heatmap(pps.matrix(df),annot=True, ax=ax[0,1]).set_title("pps") | |
sns.distplot(df.corr().abs().unstack().sort_values(ascending=False).drop_duplicates(), bins=10, ax=ax[1,0]).set(xlim=(0, 1)) | |
sns.distplot(pps.matrix(df).abs().unstack().sort_values(ascending=False).drop_duplicates(), bins=10, ax=ax[1,1]).set(xlim=(0,1)) | |
fig.show() |
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