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for col in enron_df.columns: | |
if str(enron_df[col].dtype) != 'bool': | |
print col,(enron_df[enron_df[col] !='NaN'][col].count()) \ | |
,round((enron_df[enron_df[col] !='NaN'][col].count())/ \ | |
(float(enron_df.shape[0])),2) |
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