fix some keyword-only arguments

Author: twoertwein

pandas-stubs/core/arrays/base.pyi

@@ -47,7 +47,7 @@ class ExtensionArray:
     ) -> tuple[np.ndarray, ABCExtensionArray]: ...
     def repeat(self, repeats, axis=...): ...
     def take(
-        self, indices: Sequence[int], allow_fill: bool = ..., fill_value=...
+        self, indices: Sequence[int], *, allow_fill: bool = ..., fill_value=...
     ) -> ABCExtensionArray: ...
     def copy(self) -> ABCExtensionArray: ...
     def view(self, dtype=...) -> ABCExtensionArray | np.ndarray: ...

pandas-stubs/core/arrays/interval.pyi

@@ -44,7 +44,7 @@ class IntervalArray(IntervalMixin, ExtensionArray):
         self, periods: int = ..., fill_value: object = ...
     ) -> ABCExtensionArray: ...
     def take(
-        self, indices, allow_fill: bool = ..., fill_value=..., axis=..., **kwargs
+        self, indices, *, allow_fill: bool = ..., fill_value=..., axis=..., **kwargs
     ): ...
     def value_counts(self, dropna: bool = ...): ...
     @property

pandas-stubs/core/arrays/numpy_.pyi

@@ -46,12 +46,13 @@ class PandasArray(ExtensionArray, ExtensionOpsMixin, NDArrayOperatorsMixin):
     def take(self, indices, allow_fill: bool = ..., fill_value=...): ...
     def copy(self): ...
     def unique(self): ...
-    def any(self, axis=..., out=..., keepdims: bool = ..., skipna: bool = ...): ...
-    def all(self, axis=..., out=..., keepdims: bool = ..., skipna: bool = ...): ...
-    def min(self, axis=..., out=..., keepdims: bool = ..., skipna: bool = ...): ...
-    def max(self, axis=..., out=..., keepdims: bool = ..., skipna: bool = ...): ...
+    def any(self, *, axis=..., out=..., keepdims: bool = ..., skipna: bool = ...): ...
+    def all(self, *, axis=..., out=..., keepdims: bool = ..., skipna: bool = ...): ...
+    def min(self, *, axis=..., out=..., keepdims: bool = ..., skipna: bool = ...): ...
+    def max(self, *, axis=..., out=..., keepdims: bool = ..., skipna: bool = ...): ...
     def sum(
         self,
+        *,
         axis=...,
         dtype=...,
         out=...,
@@ -62,6 +63,7 @@ class PandasArray(ExtensionArray, ExtensionOpsMixin, NDArrayOperatorsMixin):
     ): ...
     def prod(
         self,
+        *,
         axis=...,
         dtype=...,
         out=...,
@@ -71,10 +73,11 @@ class PandasArray(ExtensionArray, ExtensionOpsMixin, NDArrayOperatorsMixin):
         min_count: int = ...,
     ): ...
     def mean(
-        self, axis=..., dtype=..., out=..., keepdims: bool = ..., skipna: bool = ...
+        self, *, axis=..., dtype=..., out=..., keepdims: bool = ..., skipna: bool = ...
     ): ...
     def median(
         self,
+        *,
         axis=...,
         out=...,
         overwrite_input: bool = ...,
@@ -83,6 +86,7 @@ class PandasArray(ExtensionArray, ExtensionOpsMixin, NDArrayOperatorsMixin):
     ): ...
     def std(
         self,
+        *,
         axis=...,
         dtype=...,
         out=...,
@@ -92,6 +96,7 @@ class PandasArray(ExtensionArray, ExtensionOpsMixin, NDArrayOperatorsMixin):
     ): ...
     def var(
         self,
+        *,
         axis=...,
         dtype=...,
         out=...,
@@ -101,6 +106,7 @@ class PandasArray(ExtensionArray, ExtensionOpsMixin, NDArrayOperatorsMixin):
     ): ...
     def sem(
         self,
+        *,
         axis=...,
         dtype=...,
         out=...,
@@ -109,10 +115,10 @@ class PandasArray(ExtensionArray, ExtensionOpsMixin, NDArrayOperatorsMixin):
         skipna: bool = ...,
     ): ...
     def kurt(
-        self, axis=..., dtype=..., out=..., keepdims: bool = ..., skipna: bool = ...
+        self, *, axis=..., dtype=..., out=..., keepdims: bool = ..., skipna: bool = ...
     ): ...
     def skew(
-        self, axis=..., dtype=..., out=..., keepdims: bool = ..., skipna: bool = ...
+        self, *, axis=..., dtype=..., out=..., keepdims: bool = ..., skipna: bool = ...
     ): ...
     def to_numpy(
         self,

pandas-stubs/core/arrays/string_.pyi

@@ -1,8 +1,8 @@
-from pandas.core.arrays import PandasArray as PandasArray
+from pandas.core.arrays import PandasArray
 
 from pandas._typing import type_t
 
-from pandas.core.dtypes.base import ExtensionDtype as ExtensionDtype
+from pandas.core.dtypes.base import ExtensionDtype
 
 class StringDtype(ExtensionDtype):
     name: str = ...

pandas-stubs/core/arrays/timedeltas.pyi

@@ -14,6 +14,7 @@ class TimedeltaArray(DatetimeLikeArrayMixin, TimelikeOps):
     def astype(self, dtype, copy: bool = ...): ...
     def sum(
         self,
+        *,
         axis=...,
         dtype=...,
         out=...,
@@ -24,6 +25,7 @@ class TimedeltaArray(DatetimeLikeArrayMixin, TimelikeOps):
     ): ...
     def std(
         self,
+        *,
         axis=...,
         dtype=...,
         out=...,
@@ -33,6 +35,7 @@ class TimedeltaArray(DatetimeLikeArrayMixin, TimelikeOps):
     ): ...
     def median(
         self,
+        *,
         axis=...,
         out=...,
         overwrite_input: bool = ...,

pandas-stubs/core/frame.pyi

@@ -1787,6 +1787,7 @@ class DataFrame(NDFrame, OpsMixin):
         min_periods: int | None = ...,
         center: _bool = ...,
         *,
+        win_type: None = ...,
         on: Hashable | None = ...,
         axis: AxisType = ...,
         closed: IntervalClosedType | None = ...,

pandas-stubs/core/indexes/timedeltas.pyi

@@ -34,7 +34,7 @@ class TimedeltaIndex(DatetimeTimedeltaMixin, TimedeltaIndexProperties):
     def __truediv__(self, other: num) -> TimedeltaIndex: ...  # type: ignore[override]
     def astype(self, dtype, copy: bool = ...): ...
     def get_value(self, series, key): ...
-    def get_loc(self, key, method=..., tolerance=...): ...
+    def get_loc(self, key, tolerance=...): ...
     def searchsorted(self, value, side: str = ..., sorter=...): ...
     def is_type_compatible(self, kind: str) -> bool: ...
     @property

pandas-stubs/core/missing.pyi

@@ -1,7 +1,7 @@
 def mask_missing(arr, values_to_mask): ...
 def clean_fill_method(method, allow_nearest: bool = ...): ...
 def clean_interp_method(method, **kwargs): ...
-def find_valid_index(values, how: str): ...
+def find_valid_index(values, how: str = ...): ...
 def interpolate_2d(
     values, method: str = ..., axis: int = ..., limit=..., fill_value=..., dtype=...
 ): ...

pandas-stubs/core/series.pyi

@@ -1391,7 +1391,6 @@ class Series(IndexOpsMixin, NDFrame, Generic[S1]):
         self,
         axis: SeriesAxisType | None = ...,
         skipna: _bool = ...,
-        *,
         level: None = ...,
         numeric_only: _bool | None = ...,
         **kwargs,
@@ -1528,6 +1527,7 @@ class Series(IndexOpsMixin, NDFrame, Generic[S1]):
         min_periods: int | None = ...,
         center: _bool = ...,
         *,
+        win_type: None = ...,
         on: _str | None = ...,
         axis: SeriesAxisType = ...,
         closed: _str | None = ...,

pandas-stubs/util/_test_decorators.pyi

@@ -13,9 +13,7 @@ skip_if_not_us_locale = ...
 skip_if_no_scipy = ...
 skip_if_no_ne = ...
 
-def skip_if_np_lt(
-    ver_str: str, reason: str | None = ..., *args, **kwds
-) -> Callable: ...
+def skip_if_np_lt(ver_str: str, *args, reason: str | None = ...) -> Callable: ...
 def parametrize_fixture_doc(*args): ...
 def check_file_leaks(func) -> Callable: ...
 def async_mark(): ...