pandas drop columns by index

1df.drop(a_dataframe.columns[0], axis=1, inplace=True)

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

1df.drop(columns=['B', 'C'])

1cols = [1,2,4,5,12]
2df.drop(df.columns[cols],axis=1,inplace=True)
3

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

1df = df.reset_index(drop=True)