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14 changes: 8 additions & 6 deletions pandas/core/aggregation.py
Original file line number Diff line number Diff line change
Expand Up @@ -10,21 +10,22 @@
Callable,
DefaultDict,
Dict,
Iterable,
List,
Optional,
Sequence,
Tuple,
Union,
)

from pandas._typing import AggFuncType, Label
from pandas._typing import AggFuncType, FrameOrSeries, Label

from pandas.core.dtypes.common import is_dict_like, is_list_like

from pandas.core.base import SpecificationError
import pandas.core.common as com
from pandas.core.indexes.api import Index
from pandas.core.series import FrameOrSeriesUnion, Series
from pandas.core.series import Series


def reconstruct_func(
Expand Down Expand Up @@ -276,12 +277,13 @@ def maybe_mangle_lambdas(agg_spec: Any) -> Any:


def relabel_result(
result: FrameOrSeriesUnion,
result: FrameOrSeries,
func: Dict[str, List[Union[Callable, str]]],
columns: Tuple,
order: List[int],
columns: Iterable[Label],
order: Iterable[int],
) -> Dict[Label, Series]:
"""Internal function to reorder result if relabelling is True for
"""
Internal function to reorder result if relabelling is True for
dataframe.agg, and return the reordered result in dict.

Parameters:
Expand Down
6 changes: 6 additions & 0 deletions pandas/core/frame.py
Original file line number Diff line number Diff line change
Expand Up @@ -7415,6 +7415,12 @@ def aggregate(self, func=None, axis=0, *args, **kwargs):
if relabeling:
# This is to keep the order to columns occurrence unchanged, and also
# keep the order of new columns occurrence unchanged

# For the return values of reconstruct_func, if relabeling is
# False, columns and order will be None.
assert columns is not None
assert order is not None

result_in_dict = relabel_result(result, func, columns, order)
result = DataFrame(result_in_dict, index=columns)

Expand Down