df.drop(columns=['B', 'C'])
Snippet 2
df.drop([‘feature_1’,’feature_2’], inplace = True, axis = 1)
Snippet 3
df = df.drop(['B', 'C'], axis=1)
Snippet 4
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
Drop a row by index
df.drop([0, 1])
A B C D
2 8 9 10 11
Snippet 5
df = df.drop(df.columns[[0, 1, 3]], axis=1) # df.columns is zero-based pd.Index
df.drop(['column_nameA', 'column_nameB'], axis=1, inplace=True)
Snippet 6
df = df.drop(df.columns[[0, 1, 3]], axis=1)
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