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# pandas.core.groupby.DataFrameGroupBy.groups

property DataFrameGroupBy.groups

  Dict {group name -> group labels}.

  Examples

  For SeriesGroupBy:

      >>> lst = ['a', 'a', 'b']
      >>> ser = pd.Series([1, 2, 3], index=lst)
      >>> ser
      a    1
      a    2
      b    3
      dtype: int64
      >>> ser.groupby(level=0).groups
      {'a': ['a', 'a'], 'b': ['b']}

  For DataFrameGroupBy:

      >>> data = [[1, 2, 3], [1, 5, 6], [7, 8, 9]]
      >>> df = pd.DataFrame(data, columns=["a", "b", "c"])
      >>> df
         a  b  c
      0  1  2  3
      1  1  5  6
      2  7  8  9
      >>> df.groupby(by=["a"]).groups
      {1: [0, 1], 7: [2]}

  For Resampler:

      >>> ser = pd.Series([1, 2, 3, 4], index=pd.DatetimeIndex(
      ...                 ['2023-01-01', '2023-01-15', '2023-02-01', '2023-02-15']))
      >>> ser
      2023-01-01    1
      2023-01-15    2
      2023-02-01    3
      2023-02-15    4
      dtype: int64
      >>> ser.resample('MS').groups
      {Timestamp('2023-01-01 00:00:00'): 2, Timestamp('2023-02-01 00:00:00'): 4}