Answers for "drop raise pandas"

18

df.drop

>>>df = pd.DataFrame(np.arange(12).reshape(3, 4), 
                     columns=['A', 'B', 'C', 'D'])
>>>df
   A  B   C   D
0  0  1   2   3
1  4  5   6   7
2  8  9  10  11

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

OR

>>> df.drop(columns=['B', 'C'])
   A   D
0  0   3
1  4   7
2  8  11
Posted by: Guest on March-26-2020
1

removing features pandas

df.drop([‘feature_1’,’feature_2’], inplace = True, axis = 1)
Posted by: Guest on May-22-2020

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