pandas 2.0 removals in core/indexes

pandas-stubs/core/indexes/base.pyi

@@ -55,7 +55,6 @@ from pandas._typing import (
     np_ndarray_bool,
     np_ndarray_complex,
     np_ndarray_float,
-    np_ndarray_int64,
     type_t,
 )
 
@@ -262,8 +261,6 @@ class Index(IndexOpsMixin[S1]):
     ) -> Self: ...
     @property
     def str(self) -> StringMethods[Self, MultiIndex]: ...
-    @property
-    def asi8(self) -> np_ndarray_int64: ...
     def is_(self, other) -> bool: ...
     def __len__(self) -> int: ...
     def __array__(self, dtype=...) -> np.ndarray: ...
@@ -283,7 +280,6 @@ class Index(IndexOpsMixin[S1]):
     def format(
         self, name: bool = ..., formatter: Callable | None = ..., na_rep: _str = ...
     ) -> list[_str]: ...
-    def to_native_types(self, slicer=..., **kwargs): ...
     def to_flat_index(self): ...
     def to_series(self, index=..., name=...) -> Series: ...
     def to_frame(self, index: bool = ..., name=...) -> DataFrame: ...
@@ -317,7 +313,6 @@ class Index(IndexOpsMixin[S1]):
     def is_object(self) -> bool: ...
     def is_categorical(self) -> bool: ...
     def is_interval(self) -> bool: ...
-    def is_mixed(self) -> bool: ...
     def holds_integer(self): ...
     @property
     def inferred_type(self) -> _str: ...
@@ -373,7 +368,6 @@ class Index(IndexOpsMixin[S1]):
     def array(self) -> ExtensionArray: ...
     def memory_usage(self, deep: bool = ...): ...
     def where(self, cond, other=...): ...
-    def is_type_compatible(self, kind) -> bool: ...
     def __contains__(self, key) -> bool: ...
     def __setitem__(self, key, value) -> None: ...
     @overload
@@ -401,8 +395,6 @@ class Index(IndexOpsMixin[S1]):
     def sort(self, *args, **kwargs) -> None: ...
     def shift(self, periods: int = ..., freq=...) -> None: ...
     def argsort(self, *args, **kwargs): ...
-    def get_value(self, series, key): ...
-    def set_value(self, arr, key, value) -> None: ...
     def get_indexer_non_unique(self, target): ...
     def get_indexer_for(self, target, **kwargs): ...
     @final

pandas-stubs/core/indexes/category.pyi

@@ -45,6 +45,5 @@ class CategoricalIndex(ExtensionIndex[S1], accessor.PandasDelegate):
     def reindex(self, target, method=..., level=..., limit=..., tolerance=...): ...
     def get_indexer(self, target, method=..., limit=..., tolerance=...): ...
     def get_indexer_non_unique(self, target): ...
-    def take_nd(self, *args, **kwargs): ...
     def delete(self, loc): ...
     def insert(self, loc, item): ...

pandas-stubs/core/indexes/datetimes.pyi

@@ -71,7 +71,6 @@ class DatetimeIndex(DatetimeTimedeltaMixin[Timestamp], DatetimeIndexProperties):
     ) -> TimedeltaIndex: ...
     def to_series(self, index=..., name=...) -> TimestampSeries: ...
     def snap(self, freq: str = ...): ...
-    def get_value(self, series, key): ...
     def slice_indexer(self, start=..., end=..., step=...): ...
     def searchsorted(self, value, side: str = ..., sorter=...): ...
     @property
@@ -81,7 +80,6 @@ class DatetimeIndex(DatetimeTimedeltaMixin[Timestamp], DatetimeIndexProperties):
     def indexer_between_time(
         self, start_time, end_time, include_start: bool = ..., include_end: bool = ...
     ): ...
-    def to_perioddelta(self, freq) -> TimedeltaIndex: ...
     def to_julian_date(self) -> Index[float]: ...
     def isocalendar(self) -> DataFrame: ...
     @property

pandas-stubs/core/indexes/interval.pyi

@@ -37,7 +37,6 @@ from pandas._typing import (
 )
 
 from pandas.core.dtypes.dtypes import IntervalDtype as IntervalDtype
-from pandas.core.dtypes.generic import ABCSeries
 
 _EdgesInt: TypeAlias = (
     Sequence[int]
@@ -247,7 +246,6 @@ class IntervalIndex(ExtensionIndex[IntervalT], IntervalMixin):
     def mid(self) -> Index: ...
     @property
     def length(self) -> Index: ...
-    def get_value(self, series: ABCSeries, key): ...
     @overload  # type: ignore[override]
     def __getitem__(
         self,
@@ -264,8 +262,6 @@ class IntervalIndex(ExtensionIndex[IntervalT], IntervalMixin):
     def __getitem__(  # pyright: ignore[reportIncompatibleMethodOverride]
         self, idx: int
     ) -> IntervalT: ...
-    @property
-    def is_all_dates(self) -> bool: ...
     @overload  # type: ignore[override]
     def __gt__(
         self, other: IntervalT | IntervalIndex[IntervalT]

pandas-stubs/core/indexes/multi.pyi

@@ -96,7 +96,6 @@ class MultiIndex(Index[Any]):
     def duplicated(self, keep: Literal["first", "last", False] = ...): ...
     def fillna(self, value=..., downcast=...) -> None: ...
     def dropna(self, how: Literal["any", "all"] = ...) -> Self: ...
-    def get_value(self, series, key): ...
     def get_level_values(self, level: str | int) -> Index: ...
     def unique(self, level=...): ...
     def to_frame(
@@ -106,8 +105,6 @@ class MultiIndex(Index[Any]):
         allow_duplicates: bool = ...,
     ) -> pd.DataFrame: ...
     def to_flat_index(self): ...
-    @property
-    def is_all_dates(self) -> bool: ...
     def remove_unused_levels(self): ...
     @property
     def nlevels(self) -> int: ...

pandas-stubs/core/indexes/period.pyi

@@ -59,7 +59,6 @@ class PeriodIndex(DatetimeIndexOpsMixin[pd.Period], PeriodIndexFieldOps):
     def is_full(self) -> bool: ...
     @property
     def inferred_type(self) -> str: ...
-    def get_value(self, series, key): ...
     def get_indexer(self, target, method=..., limit=..., tolerance=...): ...
     def get_indexer_non_unique(self, target): ...
     def insert(self, loc, item): ...

pandas-stubs/core/indexes/timedeltas.pyi

@@ -72,7 +72,6 @@ class TimedeltaIndex(DatetimeTimedeltaMixin[Timedelta], TimedeltaIndexProperties
     ) -> Index[int]: ...
     def __rfloordiv__(self, other: dt.timedelta | Sequence[dt.timedelta]) -> Index[int]: ...  # type: ignore[override] # pyright: ignore[reportIncompatibleMethodOverride]
     def astype(self, dtype, copy: bool = ...): ...
-    def get_value(self, series, key): ...
     def searchsorted(self, value, side: str = ..., sorter=...): ...
     @property
     def inferred_type(self) -> str: ...