how to reomve certain row from dataframe pandas
# delete 10th, 11th, and 15th row of df, axis = 0 signify rows, inplace=True means changes directly going to apply to df.
df.drop(labels=[10, 11, 15], axis=0, inplace=True)
# or
df = df.drop(labels=10, axis=0)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 11remove rows from dataframe
df.drop(['Cochice', 'Pima'])Copyright © 2021 Codeinu
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