drop columns pandas
df.drop(columns=['B', 'C'])
python pandas 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
Drop columns
>>> df.drop(['B', 'C'], axis=1)
A D
0 0 3
1 4 7
2 8 11
>>> df.drop(columns=['B', 'C'])
A D
0 0 3
1 4 7
2 8 11
df drop column
df = df.drop(['B', 'C'], axis=1)
removing features pandas
df.drop([‘feature_1’,’feature_2’], inplace = True, axis = 1)
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