Method _python_apply_general

pandas/core/groupby/groupby.py:1653–1696

Apply function f in python space Parameters ---------- f : callable Function to apply data : Series or DataFrame Data to apply f to not_indexed_same: bool, optional When specified, overrides the value of not_indexe

(
        self,
        f: Callable,
        data: DataFrame | Series,
        not_indexed_same: bool | None = None,
        is_transform: bool = False,
        is_agg: bool = False,
    )

    @final
    def _python_apply_general(
        self,
        f: Callable,
        data: DataFrame | Series,
        not_indexed_same: bool | None = None,
        is_transform: bool = False,
        is_agg: bool = False,
    ) -> NDFrameT:
        """
        Apply function f in python space

        Parameters
        ----------
        f : callable
            Function to apply
        data : Series or DataFrame
            Data to apply f to
        not_indexed_same: bool, optional
            When specified, overrides the value of not_indexed_same. Apply behaves
            differently when the result index is equal to the input index, but
            this can be coincidental leading to value-dependent behavior.
        is_transform : bool, default False
            Indicator for whether the function is actually a transform
            and should not have group keys prepended.
        is_agg : bool, default False
            Indicator for whether the function is an aggregation. When the
            result is empty, we don't want to warn for this case.
            See _GroupBy._python_agg_general.

        Returns
        -------
        Series or DataFrame
            data after applying f
        """
        values, mutated = self._grouper.apply_groupwise(f, data)
        if not_indexed_same is None:
            not_indexed_same = mutated

        return self._wrap_applied_output(
            data,
            values,
            not_indexed_same,
            is_transform,
        )

    @final
    def _agg_general(