pandas.core.groupby.GroupBy.tail
-
GroupBy.
tail
(n=5)[source] 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