df drop

1df.drop(['column_1', 'Column_2'], axis = 1, inplace = True) 

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

1df = pd.DataFrame(np.arange(12).reshape(3, 4),
2...                   columns=['A', 'B', 'C', 'D'])
3>>> df
4   A  B   C   D
50  0  1   2   3
61  4  5   6   7
72  8  9  10  11
8
9Drop columns
10>>> df.drop(['B', 'C'], axis=1)
11   A   D
120  0   3
131  4   7
142  8  11
15>>> df.drop(columns=['B', 'C'])
16   A   D
170  0   3
181  4   7
192  8  11

1df = df.drop('column_name', 1)

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

1>>>df = pd.DataFrame(np.arange(12).reshape(3, 4), 
2                     columns=['A', 'B', 'C', 'D'])
3>>>df
4   A  B   C   D
50  0  1   2   3
61  4  5   6   7
72  8  9  10  11
8
9>>> df.drop(['B', 'C'], axis=1)
10   A   D
110  0   3
121  4   7
132  8  11
14
15OR
16
17>>> df.drop(columns=['B', 'C'])
18   A   D
190  0   3
201  4   7
212  8  11