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# pandas.core.groupby.SeriesGroupBy.unique

SeriesGroupBy.unique()

  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