how to drop a column by name in pandas

1>>> df.drop(columns=['B', 'C'])
2   A   D
30  0   3
41  4   7
52  8  11
6

1#working with "text" syntax for the columns:
2df.drop(['column_nameA', 'column_nameB'], axis=1, inplace=True)

1df.drop([‘feature_1’,’feature_2’], inplace = True, axis = 1) 

1>>> df.drop(['B', 'C'], axis=1)
2   A   D
30  0   3
41  4   7
52  8  11
6

1>>> midx = pd.MultiIndex(levels=[['lama', 'cow', 'falcon'],
2...                              ['speed', 'weight', 'length']],
3...                      codes=[[0, 0, 0, 1, 1, 1, 2, 2, 2],
4...                             [0, 1, 2, 0, 1, 2, 0, 1, 2]])
5>>> df = pd.DataFrame(index=midx, columns=['big', 'small'],
6...                   data=[[45, 30], [200, 100], [1.5, 1], [30, 20],
7...                         [250, 150], [1.5, 0.8], [320, 250],
8...                         [1, 0.8], [0.3, 0.2]])
9>>> df
10                big     small
11lama    speed   45.0    30.0
12        weight  200.0   100.0
13        length  1.5     1.0
14cow     speed   30.0    20.0
15        weight  250.0   150.0
16        length  1.5     0.8
17falcon  speed   320.0   250.0
18        weight  1.0     0.8
19        length  0.3     0.2
20