remove columns from a dataframe python

1# Let df be a dataframe
2# Let new_df be a dataframe after dropping a column
3
4new_df = df.drop(labels='column_name', axis=1)
5
6# Or if you don't want to change the name of the dataframe
7df = df.drop(labels='column_name', axis=1)
8
9# Or to remove several columns
10df = df.drop(['list_of_column_names'], axis=1)
11
12# axis=0 for 'rows' and axis=1 for columns

1note: df is your dataframe
2
3df = df.drop('coloum_name',axis=1)

1df.drop(['colonna da togliere'], axis=1)

1del df['column_name']

1df = df.drop(df.columns[[0, 1, 3]], axis=1)  # df.columns is zero-based pd.Index