pandas.core.groupby.SeriesGroupBy.unique#

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