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
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