TYP: collections.abc.Callable

pandas-stubs/_libs/tslibs/timestamps.pyi

@@ -100,7 +100,7 @@ class Timestamp(datetime, SupportsIndex):
     def fold(self) -> int: ...
     if sys.version_info >= (3, 12):
         @classmethod
-        def fromtimestamp(  # pyright: ignore[reportIncompatibleMethodOverride]
+        def fromtimestamp(  # pyright: ignore[reportIncompatibleMethodOverride] # ty: ignore[invalid-method-override]
             cls, t: float, tz: _tzinfo | str | None = ...
         ) -> Self: ...
     else:

pandas-stubs/_typing.pyi

@@ -22,7 +22,6 @@ from typing import (
     SupportsIndex,
     TypeAlias,
     TypedDict,
-    Union,
     overload,
 )
 
@@ -596,18 +595,25 @@ IndexKeyFunc: TypeAlias = Callable[[Index], Index | AnyArrayLike] | None
 
 # types of `func` kwarg for DataFrame.aggregate and Series.aggregate
 # More specific than what is in pandas
-# following Union is here to make it ty compliant https://github.com/astral-sh/ty/issues/591
-AggFuncTypeBase: TypeAlias = Union[Callable, str, np.ufunc]  # noqa: UP007
-AggFuncTypeDictSeries: TypeAlias = Mapping[HashableT, AggFuncTypeBase]
+AggFuncTypeBase: TypeAlias = Callable[P, Any] | str | np.ufunc
+AggFuncTypeDictSeries: TypeAlias = Mapping[HashableT, AggFuncTypeBase[P]]
 AggFuncTypeDictFrame: TypeAlias = Mapping[
-    HashableT, AggFuncTypeBase | list[AggFuncTypeBase]
+    HashableT, AggFuncTypeBase[P] | Sequence[AggFuncTypeBase[P]]
 ]
-AggFuncTypeSeriesToFrame: TypeAlias = list[AggFuncTypeBase] | AggFuncTypeDictSeries
+AggFuncTypeSeriesToFrame: TypeAlias = (
+    Sequence[AggFuncTypeBase[P]] | AggFuncTypeDictSeries[HashableT, P]
+)
 AggFuncTypeFrame: TypeAlias = (
-    AggFuncTypeBase | list[AggFuncTypeBase] | AggFuncTypeDictFrame
+    AggFuncTypeBase[P]
+    | Sequence[AggFuncTypeBase[P]]
+    | AggFuncTypeDictFrame[HashableT, P]
+)
+AggFuncTypeDict: TypeAlias = (
+    AggFuncTypeDictSeries[HashableT, P] | AggFuncTypeDictFrame[HashableT, P]
+)
+AggFuncType: TypeAlias = (
+    AggFuncTypeBase[P] | Sequence[AggFuncTypeBase[P]] | AggFuncTypeDict
 )
-AggFuncTypeDict: TypeAlias = AggFuncTypeDictSeries | AggFuncTypeDictFrame
-AggFuncType: TypeAlias = AggFuncTypeBase | list[AggFuncTypeBase] | AggFuncTypeDict
 
 # Not used in stubs
 # AggObjType = Union[
@@ -694,7 +700,9 @@ CompressionOptions: TypeAlias = (
 
 # types in DataFrameFormatter
 FormattersType: TypeAlias = (
-    list[Callable] | tuple[Callable, ...] | Mapping[str | int, Callable]
+    list[Callable[..., Any]]
+    | tuple[Callable[..., Any], ...]
+    | Mapping[str | int, Callable[..., Any]]
 )
 # ColspaceType = Mapping[Hashable, Union[str, int]] not used in stubs
 FloatFormatType: TypeAlias = str | Callable[[float], str] | EngFormatter

pandas-stubs/core/frame.pyi

@@ -273,8 +273,8 @@ class _LocIndexerFrame(_LocIndexer, Generic[_T]):
                 | list[HashableT]
                 | slice
                 | _IndexSliceTuple
-                | Callable,
-                MaskType | Iterable[HashableT] | IndexType | Callable,
+                | Callable[..., Any],
+                MaskType | Iterable[HashableT] | IndexType | Callable[..., Any],
             ]
         ),
     ) -> _T: ...
@@ -1268,7 +1268,7 @@ class DataFrame(NDFrame, OpsMixin, _GetItemHack):
     def combine(
         self,
         other: DataFrame,
-        func: Callable,
+        func: Callable[..., Any],
         fill_value: Scalar | None = None,
         overwrite: _bool = True,
     ) -> Self: ...
@@ -1278,7 +1278,7 @@ class DataFrame(NDFrame, OpsMixin, _GetItemHack):
         other: DataFrame | Series,
         join: UpdateJoin = "left",
         overwrite: _bool = True,
-        filter_func: Callable | None = ...,
+        filter_func: Callable[..., Any] | None = ...,
         errors: IgnoreRaise = "ignore",
     ) -> None: ...
     @overload
@@ -1516,21 +1516,21 @@ class DataFrame(NDFrame, OpsMixin, _GetItemHack):
     @overload
     def aggregate(  # pyright: ignore[reportOverlappingOverload]
         self,
-        func: AggFuncTypeBase | AggFuncTypeDictSeries,
+        func: AggFuncTypeBase[...] | AggFuncTypeDictSeries[Any, ...],
         axis: Axis = 0,
         **kwargs: Any,
     ) -> Series: ...
     @overload
     def aggregate(
         self,
-        func: list[AggFuncTypeBase] | AggFuncTypeDictFrame | None = ...,
+        func: list[AggFuncTypeBase[...]] | AggFuncTypeDictFrame[Any, ...] | None = ...,
         axis: Axis = 0,
         **kwargs: Any,
     ) -> Self: ...
     agg = aggregate
     def transform(
         self,
-        func: AggFuncTypeFrame,
+        func: AggFuncTypeFrame[..., Any],
         axis: Axis = 0,
         *args: Any,
         **kwargs: Any,
@@ -1684,7 +1684,10 @@ class DataFrame(NDFrame, OpsMixin, _GetItemHack):
 
     # Add spacing between apply() overloads and remaining annotations
     def map(
-        self, func: Callable, na_action: Literal["ignore"] | None = None, **kwargs: Any
+        self,
+        func: Callable[..., Any],
+        na_action: Literal["ignore"] | None = None,
+        **kwargs: Any,
     ) -> Self: ...
     def join(
         self,
@@ -2332,7 +2335,7 @@ class DataFrame(NDFrame, OpsMixin, _GetItemHack):
             | Callable[[DataFrame], DataFrame]
             | Callable[[Any], _bool]
         ),
-        other: Scalar | Series | DataFrame | Callable | NAType | None = ...,
+        other: Scalar | Series | DataFrame | Callable[..., Any] | NAType | None = ...,
         *,
         inplace: Literal[True],
         axis: Axis | None = ...,
@@ -2349,7 +2352,7 @@ class DataFrame(NDFrame, OpsMixin, _GetItemHack):
             | Callable[[DataFrame], DataFrame]
             | Callable[[Any], _bool]
         ),
-        other: Scalar | Series | DataFrame | Callable | NAType | None = ...,
+        other: Scalar | Series | DataFrame | Callable[..., Any] | NAType | None = ...,
         *,
         inplace: Literal[False] = False,
         axis: Axis | None = ...,
@@ -2510,8 +2513,12 @@ class DataFrame(NDFrame, OpsMixin, _GetItemHack):
     def rename_axis(
         self,
         *,
-        index: _str | Sequence[_str] | dict[_str | int, _str] | Callable | None = ...,
-        columns: _str | Sequence[_str] | dict[_str | int, _str] | Callable | None = ...,
+        index: (
+            _str | Sequence[_str] | dict[_str | int, _str] | Callable[..., Any] | None
+        ) = ...,
+        columns: (
+            _str | Sequence[_str] | dict[_str | int, _str] | Callable[..., Any] | None
+        ) = ...,
         copy: _bool = ...,
         inplace: Literal[True],
     ) -> None: ...
@@ -2520,8 +2527,12 @@ class DataFrame(NDFrame, OpsMixin, _GetItemHack):
     def rename_axis(
         self,
         *,
-        index: _str | Sequence[_str] | dict[_str | int, _str] | Callable | None = ...,
-        columns: _str | Sequence[_str] | dict[_str | int, _str] | Callable | None = ...,
+        index: (
+            _str | Sequence[_str] | dict[_str | int, _str] | Callable[..., Any] | None
+        ) = ...,
+        columns: (
+            _str | Sequence[_str] | dict[_str | int, _str] | Callable[..., Any] | None
+        ) = ...,
         copy: _bool = ...,
         inplace: Literal[False] = False,
     ) -> Self: ...

pandas-stubs/core/groupby/generic.pyi

@@ -78,7 +78,7 @@ class SeriesGroupBy(GroupBy[Series[S2]], Generic[S2, ByT]):
     @overload
     def aggregate(
         self,
-        func: list[AggFuncTypeBase],
+        func: list[AggFuncTypeBase[...]],
         /,
         *args: Any,
         engine: WindowingEngine = ...,
@@ -88,7 +88,7 @@ class SeriesGroupBy(GroupBy[Series[S2]], Generic[S2, ByT]):
     @overload
     def aggregate(
         self,
-        func: AggFuncTypeBase | None = ...,
+        func: AggFuncTypeBase[...] | None = ...,
         /,
         *args: Any,
         engine: WindowingEngine = ...,
@@ -109,16 +109,20 @@ class SeriesGroupBy(GroupBy[Series[S2]], Generic[S2, ByT]):
     @overload
     def transform(
         self,
-        func: Callable,
-        *args: Any,
-        **kwargs: Any,
+        func: Callable[Concatenate[Series, P], Any],
+        *args: P.args,
+        **kwargs: P.kwargs,
     ) -> Series: ...
     @overload
     def transform(
         self, func: TransformReductionListType, *args: Any, **kwargs: Any
     ) -> Series: ...
     def filter(
-        self, func: Callable | str, dropna: bool = ..., *args: Any, **kwargs: Any
+        self,
+        func: Callable[Concatenate[Series, P], Any] | str,
+        dropna: bool = ...,
+        *args: P.args,
+        **kwargs: P.kwargs,
     ) -> Series: ...
     def nunique(self, dropna: bool = ...) -> Series[int]: ...
     # describe delegates to super() method but here it has keyword-only parameters
@@ -257,7 +261,7 @@ class DataFrameGroupBy(GroupBy[DataFrame], Generic[ByT, _TT]):
     @overload
     def aggregate(
         self,
-        func: AggFuncTypeFrame | None = ...,
+        func: AggFuncTypeFrame[..., Any] | None = ...,
         *args: Any,
         engine: WindowingEngine = ...,
         engine_kwargs: WindowingEngineKwargs = ...,
@@ -266,7 +270,7 @@ class DataFrameGroupBy(GroupBy[DataFrame], Generic[ByT, _TT]):
     @overload
     def aggregate(
         self,
-        func: AggFuncTypeFrame | None = None,
+        func: AggFuncTypeFrame[..., Any] | None = None,
         /,
         **kwargs: Any,
     ) -> DataFrame: ...
@@ -283,16 +287,20 @@ class DataFrameGroupBy(GroupBy[DataFrame], Generic[ByT, _TT]):
     @overload
     def transform(
         self,
-        func: Callable,
-        *args: Any,
-        **kwargs: Any,
+        func: Callable[Concatenate[DataFrame, P], Any],
+        *args: P.args,
+        **kwargs: P.kwargs,
     ) -> DataFrame: ...
     @overload
     def transform(
         self, func: TransformReductionListType, *args: Any, **kwargs: Any
     ) -> DataFrame: ...
     def filter(
-        self, func: Callable, dropna: bool = ..., *args: Any, **kwargs: Any
+        self,
+        func: Callable[Concatenate[DataFrame, P], Any],
+        dropna: bool = ...,
+        *args: P.args,
+        **kwargs: P.kwargs,
     ) -> DataFrame: ...
     @overload
     def __getitem__(self, key: Scalar) -> SeriesGroupBy[Any, ByT]: ...  # type: ignore[overload-overlap] # pyright: ignore[reportOverlappingOverload]

pandas-stubs/core/groupby/groupby.pyi

@@ -78,7 +78,12 @@ _ResamplerGroupBy: TypeAlias = (
 
 class GroupBy(BaseGroupBy[NDFrameT]):
     def __getattr__(self, attr: str) -> Any: ...
-    def apply(self, func: Callable | str, *args: Any, **kwargs: Any) -> NDFrameT: ...
+    def apply(
+        self,
+        func: Callable[Concatenate[NDFrameT, P], Any] | str,
+        *args: P.args,
+        **kwargs: P.kwargs,
+    ) -> NDFrameT: ...
     @final
     @overload
     def any(self: GroupBy[Series], skipna: bool = ...) -> Series[bool]: ...

pandas-stubs/core/indexes/base.pyi

@@ -408,7 +408,10 @@ class Index(IndexOpsMixin[S1], ElementOpsMixin[S1]):
     ) -> Self: ...
     def copy(self, name: Hashable = ..., deep: bool = False) -> Self: ...
     def format(
-        self, name: bool = ..., formatter: Callable | None = ..., na_rep: _str = ...
+        self,
+        name: bool = ...,
+        formatter: Callable[..., Any] | None = ...,
+        na_rep: _str = ...,
     ) -> list[_str]: ...
     def to_series(
         self, index: Index | None = None, name: Hashable | None = None

pandas-stubs/core/indexes/multi.pyi

@@ -94,7 +94,7 @@ class MultiIndex(Index):
     def format(
         self,
         name: bool | None = ...,
-        formatter: Callable | None = ...,
+        formatter: Callable[..., Any] | None = ...,
         na_rep: str | None = ...,
         names: bool = ...,
         space: int = ...,