pandas.core.groupby.SeriesGroupBy.unique — pandas 2.2.3 documentation (original) (raw)

SeriesGroupBy.unique()[source]#

Return unique values for each group.

It returns unique values for each of the grouped values. Returned in order of appearance. Hash table-based unique, therefore does NOT sort.

Returns:

Series

Unique values for each of the grouped values.

See also

Series.unique

Return unique values of Series object.

Examples

df = pd.DataFrame([('Chihuahua', 'dog', 6.1), ... ('Beagle', 'dog', 15.2), ... ('Chihuahua', 'dog', 6.9), ... ('Persian', 'cat', 9.2), ... ('Chihuahua', 'dog', 7), ... ('Persian', 'cat', 8.8)], ... columns=['breed', 'animal', 'height_in']) df breed animal height_in 0 Chihuahua dog 6.1 1 Beagle dog 15.2 2 Chihuahua dog 6.9 3 Persian cat 9.2 4 Chihuahua dog 7.0 5 Persian cat 8.8 ser = df.groupby('animal')['breed'].unique() ser animal cat [Persian] dog [Chihuahua, Beagle] Name: breed, dtype: object