pyspark.pandas.groupby.GroupBy.min¶
-
GroupBy.min(numeric_only: Optional[bool] = False) → FrameLike¶ Compute min 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, 4, 3, 4], "D": ["a", "b", "b", "a"]}) >>> df.groupby("A").min().sort_index() B C D A 1 False 3 a 2 False 4 a
Include only float, int, boolean columns when set numeric_only True.
>>> df.groupby("A").min(numeric_only=True).sort_index() B C A 1 False 3 2 False 4