pandas.core.groupby.SeriesGroupBy.nunique#

SeriesGroupBy.nunique(dropna=True)[source]#

Return number of unique elements in the group.

Parameters:

dropnabool, default True: Don’t include NaN in the counts.

Returns:

Series: Number of unique values within each group.

See also

core.resample.Resampler.nunique: Method nunique for Resampler.

Examples

>>> lst = ["a", "a", "b", "b"]
>>> ser = pd.Series([1, 2, 3, 3], index=lst)
>>> ser
a    1
a    2
b    3
b    3
dtype: int64
>>> ser.groupby(level=0).nunique()
a    2
b    1
dtype: int64