hipdf.core.groupby.SeriesGroupBy.tail

hipdf.core.groupby.SeriesGroupBy.tail#

19 min read time

Applies to Linux

SeriesGroupBy.tail(n: int = 5, *, preserve_order: bool = True)#

Return last n rows of each group

Parameters#

n

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

preserve_order

If True (default), return the n rows from each group in original dataframe order (this mimics pandas behavior though is more expensive). If you don’t need rows in original dataframe order you will see a performance improvement by setting preserve_order=False. In both cases, the original index is preserved, so .loc-based indexing will work identically.

Returns#

Series or DataFrame

Subset of the original grouped object as determined by n

See Also#

.head

Examples#

>>> import cudf
>>> df = cudf.DataFrame(
...     {
...         "a": [1, 0, 1, 2, 2, 1, 3, 2, 3, 3, 3],
...         "b": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10],
...     }
... )
>>> df.groupby("a").tail(1)
    a   b
1   0   1
5   1   5
7   2   7
10  3  10
>>> df.groupby("a").tail(-2)
    a   b
5   1   5
7   2   7
9   3   9
10  3  10