how to add coloumn based on other column
metadata['class_pnemonia'] = metadata['class'].astype('category').map({0: 'HEALTHY ', 1: 'PNEUMONIA'})how to add coloumn based on other column
metadata['class_pnemonia'] = metadata['class'].astype('category').map({0: 'HEALTHY ', 1: 'PNEUMONIA'})How to Create new dataframe columns from existing column
new_df = df.filter(like='n_')
.replace(0., np.inf)
.apply(lambda x: sorted(x), axis=1, result_type='expand')
.replace(np.inf, 0.0)
new_df.columns = ['new_1', 'new_2', 'new_3']
out = pd.concat([df, new_df], axis=1)Copyright © 2021 Codeinu
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