python create new pandas dataframe with specific columns
# Basic syntax:
new_dataframe = old_dataframe.filter(['Columns','you','want'], axis=1)python create new pandas dataframe with specific columns
# Basic syntax:
new_dataframe = old_dataframe.filter(['Columns','you','want'], axis=1)create new dataframe from existing dataframe pandas
new = old[['A', 'C', 'D']].copy()select columns to include in new dataframe in python
new = old.filter(['A','B','D'], axis=1)copy only some columns to new dataframe in r
new = pd.DataFrame([old.A, old.B, old.C]).transpose()create new dataframe from existing data frame python
new = old.filter(['A','B','D'], axis=1)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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