More improvements in the indexes

Author: loicdiridollou

pandas-stubs/core/indexes/accessors.pyi

@@ -140,7 +140,6 @@ class _DatetimeOtherOps(Generic[_DTOtherOpsDateReturnType, _DTOtherOpsTimeReturn
     @property
     def timetz(self) -> _DTOtherOpsTimeReturnType: ...
 
-class DatetimeAndPeriodProperties(_DatetimeFieldOps[Series[int]]): ...
 class _DatetimeLikeOps(
     _DatetimeFieldOps[_DTFieldOpsReturnType],
     _DatetimeObjectOps[_DTFreqReturnType],

pandas-stubs/core/indexes/base.pyi

@@ -279,7 +279,9 @@ class Index(IndexOpsMixin[S1]):
     @final
     def is_(self, other) -> bool: ...
     def __len__(self) -> int: ...
-    def __array__(self, dtype=...) -> np.ndarray: ...
+    def __array__(
+        self, dtype: _str | np.dtype = ..., copy: bool | None = ...
+    ) -> np.ndarray: ...
     def __array_wrap__(self, result, context=...): ...
     @property
     def dtype(self) -> DtypeObj: ...
@@ -312,9 +314,9 @@ class Index(IndexOpsMixin[S1]):
     def names(self, names: Sequence[Hashable]) -> None: ...
     def set_names(self, names, *, level=..., inplace: bool = ...): ...
     @overload
-    def rename(self, name, inplace: Literal[False] = False) -> Self: ...
+    def rename(self, name, *, inplace: Literal[False] = False) -> Self: ...
     @overload
-    def rename(self, name, inplace: Literal[True]) -> None: ...
+    def rename(self, name, *, inplace: Literal[True]) -> None: ...
     @property
     def nlevels(self) -> int: ...
     def get_level_values(self, level: int | _str) -> Index: ...

pandas-stubs/core/indexes/category.pyi

@@ -40,7 +40,6 @@ class CategoricalIndex(ExtensionIndex[S1], accessor.PandasDelegate):
         self, dtype: DtypeArg = ..., copy: bool | None = ...
     ) -> np.ndarray: ...
     def astype(self, dtype: DtypeArg, copy: bool = ...) -> Index: ...
-    def fillna(self, value=...): ...
     @property
     def is_unique(self) -> bool: ...
     @property

pandas-stubs/core/indexes/datetimes.pyi

@@ -55,7 +55,6 @@ class DatetimeIndex(DatetimeTimedeltaMixin[Timestamp], DatetimeIndexProperties):
         copy: bool = ...,
         name: Hashable = ...,
     ) -> None: ...
-    def __array__(self, dtype=...) -> np.ndarray: ...
     def __reduce__(self): ...
     # various ignores needed for mypy, as we do want to restrict what can be used in
     # arithmetic for these types

pandas-stubs/core/indexes/interval.pyi

@@ -221,14 +221,7 @@ class IntervalIndex(ExtensionIndex[IntervalT], IntervalMixin):
     def memory_usage(self, deep: bool = ...) -> int: ...
     @property
     def is_overlapping(self) -> bool: ...
-    # Note: tolerance no effect. It is included in all get_loc so
-    # that signatures are consistent with base even though it is usually not used
-    def get_loc(
-        self,
-        key: Label,
-        method: FillnaOptions | Literal["nearest"] | None = ...,
-        tolerance=...,
-    ) -> int | slice | npt.NDArray[np.bool_]: ...
+    def get_loc(self, key: Label) -> int | slice | npt.NDArray[np.bool_]: ...
     @final
     def get_indexer(
         self,

pandas-stubs/core/indexes/multi.pyi

@@ -45,28 +45,28 @@ class MultiIndex(Index):
         cls,
         arrays: Sequence[Axes],
         sortorder: int | None = ...,
-        names: SequenceNotStr[Hashable] = ...,
+        names: SequenceNotStr[Hashable] | None = ...,
     ) -> Self: ...
     @classmethod
     def from_tuples(
         cls,
         tuples: Iterable[tuple[Hashable, ...]],
         sortorder: int | None = ...,
-        names: SequenceNotStr[Hashable] = ...,
+        names: SequenceNotStr[Hashable] | None = ...,
     ) -> Self: ...
     @classmethod
     def from_product(
         cls,
         iterables: Sequence[SequenceNotStr[Hashable] | pd.Series | pd.Index],
         sortorder: int | None = ...,
-        names: SequenceNotStr[Hashable] = ...,
+        names: SequenceNotStr[Hashable] | None = ...,
     ) -> Self: ...
     @classmethod
     def from_frame(
         cls,
         df: pd.DataFrame,
         sortorder: int | None = ...,
-        names: SequenceNotStr[Hashable] = ...,
+        names: SequenceNotStr[Hashable] | None = ...,
     ) -> Self: ...
     @property
     def shape(self): ...
@@ -76,10 +76,9 @@ class MultiIndex(Index):
     @property
     def codes(self): ...
     def set_codes(self, codes, *, level=..., verify_integrity: bool = ...): ...
-    def copy(  # pyright: ignore[reportIncompatibleMethodOverride] # pyrefly: ignore
-        self, names=..., deep: bool = ...
+    def copy(  # type: ignore[override]  # pyright: ignore[reportIncompatibleMethodOverride] # pyrefly: ignore
+        self, names: SequenceNotStr[Hashable] = ..., deep: bool = ..., name: None = ...
     ) -> Self: ...
-    def __array__(self, dtype=...) -> np.ndarray: ...
     def view(self, cls=...): ...
     def __contains__(self, key) -> bool: ...
     @property
@@ -136,7 +135,7 @@ class MultiIndex(Index):
         self, indices, axis: int = ..., allow_fill: bool = ..., fill_value=..., **kwargs
     ): ...
     def append(self, other): ...
-    def argsort(self, *args, **kwargs): ...
+    def argsort(self, *args, na_position: NaPosition = ..., **kwargs): ...
     def repeat(self, repeats, axis=...): ...
     @final
     def where(self, cond, other=...) -> None: ...

pandas-stubs/core/indexes/period.pyi

@@ -5,7 +5,6 @@ from typing import (
     overload,
 )
 
-import numpy as np
 import pandas as pd
 from pandas import Index
 from pandas.core.indexes.accessors import PeriodIndexFieldOps
@@ -53,7 +52,6 @@ class PeriodIndex(DatetimeIndexOpsMixin[pd.Period], PeriodIndexFieldOps):
     def __rsub__(  # pyright: ignore[reportIncompatibleMethodOverride]
         self, other: NaTType
     ) -> NaTType: ...
-    def __array__(self, dtype=...) -> np.ndarray: ...
     @final
     def __array_wrap__(self, result, context=...): ...
     def asof_locs(self, where, mask): ...

pandas-stubs/core/indexes/range.pyi

@@ -53,7 +53,7 @@ class RangeIndex(Index[int]):
     @final
     def get_indexer(self, target, method=..., limit=..., tolerance=...): ...
     def tolist(self): ...
-    def copy(self, name: Hashable = ..., deep: bool = ..., dtype=..., **kwargs): ...
+    def copy(self, name: Hashable = ..., deep: bool = ...): ...
     def min(self, axis=..., skipna: bool = ..., *args, **kwargs): ...
     def max(self, axis=..., skipna: bool = ..., *args, **kwargs): ...
     def argsort(self, *args, **kwargs): ...
@@ -75,8 +75,8 @@ class RangeIndex(Index[int]):
     @property
     def size(self) -> int: ...
     def __floordiv__(self, other): ...
-    def all(self) -> bool: ...
-    def any(self) -> bool: ...
+    def all(self, *args, **kwargs) -> bool: ...
+    def any(self, *args, **kwargs) -> bool: ...
     @final
     def union(  # pyrefly: ignore
         self, other: list[HashableT] | Index, sort=...

pandas-stubs/core/ops/docstrings.pyi

@@ -1 +0,0 @@
-reverse_op = ...

pandas-stubs/core/window/rolling.pyi

@@ -97,6 +97,7 @@ class RollingAndExpandingMixin(BaseWindow[NDFrameT]):
     def max(
         self,
         numeric_only: bool = ...,
+        *args,
         engine: WindowingEngine = ...,
         engine_kwargs: WindowingEngineKwargs = ...,
     ) -> NDFrameT: ...