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