pyspark.pandas.groupby.GroupBy.first¶
-
GroupBy.first(numeric_only: Optional[bool] = False) → FrameLike¶ Compute first of group values.
- Parameters
- numeric_onlybool, default False
Include only float, int, boolean columns. If None, will attempt to use everything, then use only numeric data.
Examples
>>> df = ps.DataFrame({"A": [1, 2, 1, 2], "B": [True, False, False, True], ... "C": [3, 3, 4, 4], "D": ["a", "b", "b", "a"]}) >>> df A B C D 0 1 True 3 a 1 2 False 3 b 2 1 False 4 b 3 2 True 4 a
>>> df.groupby("A").first().sort_index() B C D A 1 True 3 a 2 False 3 b
Include only float, int, boolean columns when set numeric_only True.
>>> df.groupby("A").first(numeric_only=True).sort_index() B C A 1 True 3 2 False 3