bigframes.pandas.api.typing.DataFrameGroupBy.cumcount

DataFrameGroupBy.cumcount(ascending: bool = True) → Series

Number each item in each group from 0 to the length of that group - 1.

Examples:

For SeriesGroupBy:

>>> lst = ['a', 'a', 'b', 'b', 'c']
>>> ser = bpd.Series([5, 1, 2, 3, 4], index=lst)
>>> ser.groupby(level=0).cumcount()
a    0
a    1
b    0
b    1
c    0
dtype: Int64
>>> ser.groupby(level=0).cumcount(ascending=False)
a    0
a    1
b    0
b    1
c    0
dtype: Int64

Parameters:

ascending (bool, default True) – If False, number in reverse, from length of group - 1 to 0.

Returns:

Sequence number of each element within each group.

Return type:

bigframes.pandas.Series