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)
select columns to include in new dataframe in python
new = old[['A', 'C', 'D']].copy()
create new dataframe from columns pandas
new_dataset = dataset[['A','D']]
create new dataframe with columns from another 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()
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