drop a column pandas
df.drop(['column_1', 'Column_2'], axis = 1, inplace = True)
drop a column pandas
df.drop(['column_1', 'Column_2'], axis = 1, inplace = True)
drop a column from dataframe
#To delete the column without having to reassign df
df.drop('column_name', axis=1, inplace=True)
remove column from dataframe
df.drop('column_name', axis=1, inplace=True)
drop a column from dataframe
df = df.drop('column_name', 1)
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
remove columns from dataframe
df.drop('col_name',1) #1 drop column / 0 drop row
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