Function _get_result

pandas/core/reshape/concat.py:553–664

(
    objs: list[Series | DataFrame],
    is_series: bool,
    bm_axis: AxisInt,
    ignore_index: bool,
    intersect: bool,
    sort: bool | lib.NoDefault,
    keys: Iterable[Hashable] | None,
    levels,
    verify_integrity: bool,
    names: list[HashableT] | None,
    axis: AxisInt,
)

def _get_result(
    objs: list[Series | DataFrame],
    is_series: bool,
    bm_axis: AxisInt,
    ignore_index: bool,
    intersect: bool,
    sort: bool | lib.NoDefault,
    keys: Iterable[Hashable] | None,
    levels,
    verify_integrity: bool,
    names: list[HashableT] | None,
    axis: AxisInt,
):
    cons: Callable[..., DataFrame | Series]
    sample: DataFrame | Series

    # series only
    if is_series:
        sample = cast("Series", objs[0])

        # stack blocks
        if bm_axis == 0:
            name = com.consensus_name_attr(objs)
            cons = sample._constructor

            arrs = [ser._values for ser in objs]

            res = concat_compat(arrs, axis=0)

            if ignore_index:
                new_index: Index = default_index(len(res))
            else:
                new_index = _get_concat_axis_series(
                    objs,
                    ignore_index,
                    bm_axis,
                    keys,
                    levels,
                    verify_integrity,
                    names,
                )

            mgr = type(sample._mgr).from_array(res, index=new_index)

            result = sample._constructor_from_mgr(mgr, axes=mgr.axes)
            result._name = name
            return result.__finalize__(
                types.SimpleNamespace(input_objs=objs, objs=objs), method="concat"
            )

        # combine as columns in a frame
        else:
            data = dict(enumerate(objs))

            # GH28330 Preserves subclassed objects through concat
            cons = sample._constructor_expanddim

            index = get_objs_combined_axis(