tuple + space

Author: cmp0xff

pandas-stubs/core/frame.pyi

@@ -1505,8 +1505,8 @@ class DataFrame(NDFrame, OpsMixin, _GetItemHack):
     ) -> Self | Series: ...
     def melt(
         self,
-        id_vars: tuple | Sequence | np_ndarray | None = ...,
-        value_vars: tuple | Sequence | np_ndarray | None = ...,
+        id_vars: Sequence[Hashable] | np_ndarray | None = ...,
+        value_vars: Sequence[Hashable] | np_ndarray | None = ...,
         var_name: Scalar | None = None,
         value_name: Scalar = "value",
         col_level: int | _str | None = ...,

pandas-stubs/core/series.pyi

@@ -1179,15 +1179,15 @@ class Series(IndexOpsMixin[S1], ElementOpsMixin[S1], NDFrame):
         self,
         func: Callable[..., BaseOffset],
         convertDType: _bool = ...,
-        args: tuple = ...,
+        args: tuple[Any, ...] = ...,
         **kwargs: Any,
     ) -> Series[BaseOffset]: ...
     @overload
     def apply(
         self,
         func: Callable[..., Series],
         convertDType: _bool = ...,
-        args: tuple = ...,
+        args: tuple[Any, ...] = ...,
         **kwargs: Any,
     ) -> DataFrame: ...
     @final

pandas-stubs/core/tools/datetimes.pyi

@@ -4,6 +4,7 @@ from datetime import (
     datetime,
 )
 from typing import (
+    Any,
     Literal,
     TypeAlias,
     TypedDict,
@@ -31,7 +32,7 @@ from pandas._typing import (
     np_ndarray_str,
 )
 
-ArrayConvertible: TypeAlias = list | tuple | AnyArrayLike
+ArrayConvertible: TypeAlias = list[Any] | tuple[Any, ...] | AnyArrayLike
 Scalar: TypeAlias = float | str
 DatetimeScalar: TypeAlias = Scalar | datetime | np.datetime64 | date