Method max

pandas/core/groupby/groupby.py:3273–3387

Compute max of group values. Parameters ---------- numeric_only : bool, default False Include only float, int, boolean columns. .. versionchanged:: 2.0.0 numeric_only no longer accepts ``None``. min_count : int, def

(
        self,
        numeric_only: bool = False,
        min_count: int = -1,
        skipna: bool = True,
        engine: Literal["cython", "numba"] | None = None,
        engine_kwargs: dict[str, bool] | None = None,
    )

    @final
    def max(
        self,
        numeric_only: bool = False,
        min_count: int = -1,
        skipna: bool = True,
        engine: Literal["cython", "numba"] | None = None,
        engine_kwargs: dict[str, bool] | None = None,
    ):
        """
        Compute max of group values.

        Parameters
        ----------
        numeric_only : bool, default False
            Include only float, int, boolean columns.

            .. versionchanged:: 2.0.0

                numeric_only no longer accepts ``None``.

        min_count : int, default -1
            The required number of valid values to perform the operation. If fewer
            than ``min_count`` non-NA values are present the result will be NA.

        skipna : bool, default True
            Exclude NA/null values. If the entire group is NA and ``skipna`` is
            ``True``, the result will be NA.

            .. versionchanged:: 3.0.0

        engine : str, default None None
            * ``'cython'`` : Runs rolling apply through C-extensions from cython.
            * ``'numba'`` : Runs rolling apply through JIT compiled code from numba.
                Only available when ``raw`` is set to ``True``.
            * ``None`` : Defaults to ``'cython'`` or globally setting
                ``compute.use_numba``

        engine_kwargs : dict, default None None
            * For ``'cython'`` engine, there are no accepted ``engine_kwargs``
            * For ``'numba'`` engine, the engine can accept ``nopython``, ``nogil``
                and ``parallel`` dictionary keys. The values must either be ``True`` or
                ``False``. The default ``engine_kwargs`` for the ``'numba'`` engine is
                ``{'nopython': True, 'nogil': False, 'parallel': False}`` and will be
                applied to both the ``func`` and the ``apply`` groupby aggregation.

        Returns
        -------
        Series or DataFrame
            Computed max of values within each group.

        See Also
        --------
        SeriesGroupBy.min : Return the min of the group values.
        DataFrameGroupBy.min : Return the min of the group values.
        SeriesGroupBy.max : Return the max of the group values.
        DataFrameGroupBy.max : Return the max of the group values.
        SeriesGroupBy.sum : Return the sum of the group values.
        DataFrameGroupBy.sum : Return the sum of the group values.