drop columns pandas
df.drop(columns=['B', 'C'])delete row from dataframe python
df.drop(df.index[-2])
df.drop(df.index[[3, 4]])
df.drop(['row_1', 'row_2'])
df.drop('column_1', axis=1)
df[df.name != 'cell']pandas how to delete a row
>>> df
A B C D
0 0 1 2 3
1 4 5 6 7
2 8 9 10 11
Drop a row by index
df.drop([0, 1])
A B C D
2 8 9 10 11
Drop columns
df.drop(columns=['B', 'C'])
A D
0 0 3
1 4 7
2 8 11dataframe delete row
df.drop(df.index[2])remove rows from dataframe
df.drop(['Cochice', 'Pima'])Copyright © 2021 Codeinu
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