# pandas.core.groupby.GroupBy.tail

`GroupBy.``tail`(n=5)

  Returns last n rows of each group

  Essentially equivalent to `.apply(lambda x: x.tail(n))`, except ignores as_index flag.

  Examples

      >>> df = DataFrame([['a', 1], ['a', 2], ['b', 1], ['b', 2]],
                          columns=['A', 'B'])
      >>> df.groupby('A').tail(1)
         A  B
      1  a  2
      3  b  2
      >>> df.groupby('A').head(1)
         A  B
      0  a  1
      2  b  1