drop row by index pandas code example

Example 1: drop columns pandas

df.drop(columns=['B', 'C'])

Example 2: 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

Example 3: delete a row in pandas dataframe

df.drop(df.index[2])

Example 4: drop a column from dataframe

#working with "text" syntax for the columns:
df.drop(['column_nameA', 'column_nameB'], axis=1, inplace=True)

Example 5: 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  11