python pandas drop column by index
df.drop(a_dataframe.columns[0], axis=1, inplace=True)python pandas drop column by index
df.drop(a_dataframe.columns[0], axis=1, inplace=True)how to drop the index column in pandas
df.reset_index(drop=True)pandas drop columns by index
cols = [1,2,4,5,12]
df.drop(df.columns[cols],axis=1,inplace=True)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 11df.drop index
df.reset_index(drop=True, inplace=True)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 11Copyright © 2021 Codeinu
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