GHXXX Clean up from stubtest

pandas-stubs/core/frame.pyi

@@ -1990,15 +1990,13 @@ class DataFrame(NDFrame, OpsMixin, _GetItemHack):
         self,
         axis: Axis | None = ...,
         skipna: _bool | None = ...,
-        level: None = ...,
         numeric_only: _bool = ...,
         **kwargs: Any,
     ) -> Series: ...
     def kurtosis(
         self,
         axis: Axis | None = ...,
         skipna: _bool | None = ...,
-        level: None = ...,
         numeric_only: _bool = ...,
         **kwargs: Any,
     ) -> Series: ...
@@ -2042,15 +2040,13 @@ class DataFrame(NDFrame, OpsMixin, _GetItemHack):
         self,
         axis: Axis | None = ...,
         skipna: _bool | None = ...,
-        level: None = ...,
         numeric_only: _bool = ...,
         **kwargs: Any,
     ) -> Series: ...
     def mean(
         self,
         axis: Axis | None = ...,
         skipna: _bool | None = ...,
-        level: None = ...,
         numeric_only: _bool = ...,
         **kwargs: Any,
     ) -> Series: ...

pandas-stubs/core/indexes/base.pyi

@@ -48,7 +48,6 @@ from pandas._typing import (
     DropKeep,
     DtypeArg,
     DtypeObj,
-    FillnaOptions,
     HashableT,
     Label,
     Level,
@@ -313,7 +312,13 @@ class Index(IndexOpsMixin[S1]):
     def rename(self, name, inplace: Literal[True]) -> None: ...
     @property
     def nlevels(self) -> int: ...
-    def sortlevel(self, level=..., ascending: bool = ..., sort_remaining=...): ...
+    def sortlevel(
+        self,
+        level=...,
+        ascending: bool = ...,
+        sort_remaining=...,
+        na_position: Literal["first", "last"] = ...,
+    ): ...
     def get_level_values(self, level: int | _str) -> Index: ...
     def droplevel(self, level: Level | list[Level] = ...): ...
     @property
@@ -353,12 +358,7 @@ class Index(IndexOpsMixin[S1]):
     def symmetric_difference(
         self, other: list[S1] | Self, result_name: Hashable = ..., sort=...
     ) -> Self: ...
-    def get_loc(
-        self,
-        key: Label,
-        method: FillnaOptions | Literal["nearest"] | None = ...,
-        tolerance=...,
-    ) -> int | slice | np_ndarray_bool: ...
+    def get_loc(self, key: Label) -> int | slice | np_ndarray_bool: ...
     def get_indexer(
         self, target, method: ReindexMethod | None = ..., limit=..., tolerance=...
     ): ...
@@ -400,7 +400,14 @@ class Index(IndexOpsMixin[S1]):
     def identical(self, other) -> bool: ...
     def asof(self, label): ...
     def asof_locs(self, where, mask): ...
-    def sort_values(self, return_indexer: bool = ..., ascending: bool = ...): ...
+    def sort_values(
+        self,
+        *,
+        return_indexer: bool = ...,
+        ascending: bool = ...,
+        na_position: Literal["first", "last"] = ...,
+        key: Callable | None = None,
+    ): ...
     def sort(self, *args, **kwargs) -> None: ...
     def argsort(self, *args, **kwargs): ...
     def get_indexer_non_unique(self, target): ...

pandas-stubs/core/indexes/category.pyi

@@ -33,7 +33,9 @@ class CategoricalIndex(ExtensionIndex[S1], accessor.PandasDelegate):
     @property
     def values(self): ...
     def __contains__(self, key) -> bool: ...
-    def __array__(self, dtype=...) -> np.ndarray: ...
+    def __array__(
+        self, dtype: DtypeArg = ..., copy: bool | None = ...
+    ) -> np.ndarray: ...
     def astype(self, dtype: DtypeArg, copy: bool = ...) -> Index: ...
     def fillna(self, value=...): ...
     @property

pandas-stubs/core/indexes/multi.pyi

@@ -5,6 +5,7 @@ from collections.abc import (
     Sequence,
 )
 from typing import (
+    Literal,
     overload,
 )
 
@@ -140,7 +141,11 @@ class MultiIndex(Index):
     def swaplevel(self, i: int = ..., j: int = ...): ...
     def reorder_levels(self, order): ...
     def sortlevel(
-        self, level: int = ..., ascending: bool = ..., sort_remaining: bool = ...
+        self,
+        level: int = ...,
+        ascending: bool = ...,
+        sort_remaining: bool = ...,
+        na_position: Literal["first", "last"] = ...,
     ): ...
     def get_indexer(self, target, method=..., limit=..., tolerance=...): ...
     def get_indexer_non_unique(self, target): ...

pandas-stubs/core/interchange/__init__.pyi

@@ -1,2 +0,0 @@
-from pandas.core.interchange.dataframe_protocol import DataFrame as DataFrame
-from pandas.core.interchange.from_dataframe import from_dataframe as from_dataframe

pandas-stubs/core/resample.pyi

@@ -62,7 +62,7 @@ _SeriesGroupByFuncArgs: TypeAlias = (
 )
 
 class Resampler(BaseGroupBy[NDFrameT]):
-    grouper: BinGrouper  # pyright: ignore[reportIncompatibleVariableOverride]  # pyrefly: ignore  # variance incompatibility
+    _grouper: BinGrouper
     binner: DatetimeIndex | TimedeltaIndex | PeriodIndex
     exclusions: frozenset[Hashable]
     ax: Index
@@ -123,8 +123,12 @@ class Resampler(BaseGroupBy[NDFrameT]):
     def prod(self, numeric_only: bool = ..., min_count: int = ...) -> NDFrameT: ...
     def min(self, numeric_only: bool = ..., min_count: int = ...) -> NDFrameT: ...
     def max(self, numeric_only: bool = ..., min_count: int = ...) -> NDFrameT: ...
-    def first(self, numeric_only: bool = ..., min_count: int = ...) -> NDFrameT: ...
-    def last(self, numeric_only: bool = ..., min_count: int = ...) -> NDFrameT: ...
+    def first(
+        self, numeric_only: bool = ..., min_count: int = ..., skipna: bool = ...
+    ) -> NDFrameT: ...
+    def last(
+        self, numeric_only: bool = ..., min_count: int = ..., skipna: bool = ...
+    ) -> NDFrameT: ...
     def median(self, numeric_only: bool = ...) -> NDFrameT: ...
     def mean(self, numeric_only: bool = ...) -> NDFrameT: ...
     def std(self, ddof: int = ..., numeric_only: bool = ...) -> NDFrameT: ...

tests/test_resampler.py

@@ -53,7 +53,9 @@ def test_agg_funcs() -> None:
     check(assert_type(DF.resample("ME").min(), DataFrame), DataFrame)
     check(assert_type(DF.resample("ME").max(), DataFrame), DataFrame)
     check(assert_type(DF.resample("ME").first(), DataFrame), DataFrame)
+    check(assert_type(DF.resample("ME").first(skipna=False), DataFrame), DataFrame)
     check(assert_type(DF.resample("ME").last(), DataFrame), DataFrame)
+    check(assert_type(DF.resample("ME").last(skipna=False), DataFrame), DataFrame)
     check(assert_type(DF.resample("ME").mean(), DataFrame), DataFrame)
     check(assert_type(DF.resample("ME").sum(), DataFrame), DataFrame)
     check(assert_type(DF.resample("ME").median(), DataFrame), DataFrame)