GroupBy.tail(self, n=5) [source]
Return last n rows of each group.
Essentially equivalent to .apply(lambda x: x.tail(n)), except ignores as_index flag.
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See also
Series.groupby DataFrame.groupby >>> 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').head(1)
A B
0 a 1
2 b 1
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https://pandas.pydata.org/pandas-docs/version/0.25.0/reference/api/pandas.core.groupby.GroupBy.tail.html