pandas.core.groupby.GroupBy.tail#

final GroupBy.tail(n=5)[source]#

Return last n rows of each group.

Similar to .apply(lambda x: x.tail(n)), but it returns a subset of rows from the original DataFrame with original index and order preserved (as_index flag is ignored).

Parameters

nint: If positive: number of entries to include from end of each group. If negative: number of entries to exclude from start of each group.

Returns

Series or DataFrame: Subset of original Series or DataFrame as determined by n.

See also

Series.groupby: Apply a function groupby to a Series.
DataFrame.groupby: Apply a function groupby to each row or column of a DataFrame.

Examples

>>> df = pd.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').tail(-1)
   A  B
1  a  2
3  b  2