BUG: Add ``numeric_only`` to function signature of ``DataFrameGroupBy.cumprod`` and ``DataFrameGroupBy.cumsum`

[phofl]

Pandas version checks

• I have checked that this issue has not already been reported.

• I have confirmed this bug exists on the latest version of pandas.

• I have confirmed this bug exists on the main branch of pandas.

Reproducible Example

Both methods support numeric only but it goes through args or kwargs, which is annoying signature wise.

Issue Description

Add the keyword with the appropriate default

Expected Behavior

See above

Installed Versions

Replace this line with the output of pd.show_versions()

[ShashwatAgrawal20]

take

[ShashwatAgrawal20]

@phofl something like?

    @final
    @Substitution(name="groupby")
    @Appender(_common_see_also)
    def cumprod(
        self, axis: Axis | lib.NoDefault = lib.no_default, numeric_only: bool = False, *args, **kwargs
    ) -> NDFrameT:
        """
        Cumulative product for each group.

        Returns
        -------
        Series or DataFrame
        """
        nv.validate_groupby_func("cumprod", args, kwargs, ["skipna"])
        if axis is not lib.no_default:
            axis = self.obj._get_axis_number(axis)
            self._deprecate_axis(axis, "cumprod")
        else:
            axis = 0

        if axis != 0:
            f = lambda x: x.cumprod(axis=axis, **kwargs)
            return self._python_apply_general(f, self._selected_obj, is_transform=True)

        return self._cython_transform("cumprod", numeric_only=numeric_only, **kwargs)

    @final
    @Substitution(name="groupby")
    @Appender(_common_see_also)
    def cumsum(
        self, axis: Axis | lib.NoDefault = lib.no_default, numeric_only: bool = False, *args, **kwargs
    ) -> NDFrameT:
        """
        Cumulative sum for each group.

        Returns
        -------
        Series or DataFrame
        """
        nv.validate_groupby_func("cumsum", args, kwargs, ["skipna"])
        if axis is not lib.no_default:
            axis = self.obj._get_axis_number(axis)
            self._deprecate_axis(axis, "cumsum")
        else:
            axis = 0

        if axis != 0:
            f = lambda x: x.cumsum(axis=axis, **kwargs)
            return self._python_apply_general(f, self._selected_obj, is_transform=True)

        return self._cython_transform("cumsum", numeric_only=numeric_only, **kwargs)

[phofl]

Yeah, we should probably add skipna as well

[ShashwatAgrawal20]

Sure

[rsm-23]

I can look into this if it's still open @phofl @mroeschke ?

[rsm-23]

@ShashwatAgrawal20 are you working on this or can I take it up?

[ShashwatAgrawal20]

@ShashwatAgrawal20 are you working on this or can I take it up?

Go ahead

[rsm-23]

take