Remove deprecated arguments and functions

pandas-stubs/core/arrays/categorical.pyi

@@ -194,12 +194,6 @@ class Categorical(ExtensionArray, PandasObject):
     def describe(self): ...
     def repeat(self, repeats, axis=...): ...
     def isin(self, values): ...
-    @overload
-    def replace(self, to_replace, value, inplace: Literal[True]) -> None: ...
-    @overload
-    def replace(self, to_replace, value, inplace: Literal[False]) -> Categorical: ...
-    @overload
-    def replace(self, to_replace, value, inplace: bool = ...) -> Categorical | None: ...
 
 class CategoricalAccessor(PandasDelegate, PandasObject, NoNewAttributesMixin):
     def __init__(self, data) -> None: ...

pandas-stubs/core/arrays/sparse/array.pyi

@@ -10,7 +10,6 @@ class SparseArray(PandasObject, ExtensionArray, ExtensionOpsMixin):
         self,
         data,
         sparse_index=...,
-        index=...,
         fill_value=...,
         kind: str = ...,
         dtype=...,

pandas-stubs/core/frame.pyi

@@ -1330,8 +1330,6 @@ class DataFrame(NDFrame, OpsMixin):
         self,
         start_time: _str | datetime.time,
         end_time: _str | datetime.time,
-        include_start: _bool = ...,
-        include_end: _bool = ...,
         axis: AxisType | None = ...,
     ) -> DataFrame: ...
     @overload
@@ -1666,7 +1664,7 @@ class DataFrame(NDFrame, OpsMixin):
         self,
         axis: AxisType = ...,
         method: Literal["average", "min", "max", "first", "dense"] = ...,
-        numeric_only: _bool | None = ...,
+        numeric_only: _bool = ...,
         na_option: Literal["keep", "top", "bottom"] = ...,
         ascending: _bool = ...,
         pct: _bool = ...,

pandas-stubs/core/generic.pyi

@@ -425,8 +425,6 @@ class NDFrame(PandasObject, indexing.IndexingMixin):
         self,
         start_time,
         end_time,
-        include_start: _bool = ...,
-        include_end: _bool = ...,
         axis=...,
     ) -> NDFrame: ...
     def first(self, offset) -> NDFrame: ...
@@ -435,7 +433,7 @@ class NDFrame(PandasObject, indexing.IndexingMixin):
         self,
         axis=...,
         method: Literal["average", "min", "max", "first", "dense"] = ...,
-        numeric_only: _bool | None = ...,
+        numeric_only: _bool = ...,
         na_option: Literal["keep", "top", "bottom"] = ...,
         ascending: _bool = ...,
         pct: _bool = ...,

pandas-stubs/core/groupby/groupby.pyi

@@ -79,9 +79,7 @@ class GroupBy(BaseGroupBy[NDFrameT]):
     def resample(self, rule, *args, **kwargs): ...
     def rolling(self, *args, **kwargs): ...
     def expanding(self, *args, **kwargs): ...
-    def pad(self, limit: int | None = ...): ...
     def ffill(self, limit: int | None = ...) -> DataFrame | Series: ...
-    def backfill(self, limit: int | None = ...) -> DataFrame | Series: ...
     def bfill(self, limit: int | None = ...) -> DataFrame | Series: ...
     def nth(
         self, n: int | list[int], dropna: str | None = ...

pandas-stubs/core/indexes/base.pyi

@@ -156,7 +156,7 @@ class Index(IndexOpsMixin, PandasObject):
     def symmetric_difference(
         self, other: list[T1] | Index, result_name=..., sort=...
     ) -> Index: ...
-    def get_loc(self, key, method=..., tolerance=...): ...
+    def get_loc(self, key, tolerance=...): ...
     def get_indexer(self, target, method=..., limit=..., tolerance=...): ...
     def reindex(self, target, method=..., level=..., limit=..., tolerance=...): ...
     def join(
@@ -198,9 +198,9 @@ class Index(IndexOpsMixin, PandasObject):
     def groupby(self, values) -> dict[Hashable, np.ndarray]: ...
     def map(self, mapper, na_action=...) -> Index: ...
     def isin(self, values, level=...) -> np_ndarray_bool: ...
-    def slice_indexer(self, start=..., end=..., step=..., kind=...): ...
-    def get_slice_bound(self, label, side, kind=...): ...
-    def slice_locs(self, start=..., end=..., step=..., kind=...): ...
+    def slice_indexer(self, start=..., end=..., step=...): ...
+    def get_slice_bound(self, label, side): ...
+    def slice_locs(self, start=..., end=..., step=...): ...
     def delete(self, loc): ...
     def insert(self, loc, item): ...
     def drop(self, labels, *, errors: _str = ...) -> Index: ...

pandas-stubs/core/indexes/category.pyi

@@ -33,7 +33,7 @@ class CategoricalIndex(ExtensionIndex, accessor.PandasDelegate):
     def is_monotonic_decreasing(self) -> bool: ...
     def unique(self, level=...): ...
     def duplicated(self, keep: str = ...): ...
-    def get_loc(self, key, method=...): ...
+    def get_loc(self, key): ...
     def get_value(self, seriesArrayLike, key): ...
     def where(self, cond, other=...): ...
     def reindex(self, target, method=..., level=..., limit=..., tolerance=...): ...

pandas-stubs/core/indexes/datetimes.pyi

@@ -58,14 +58,13 @@ class DatetimeIndex(DatetimeTimedeltaMixin, DatetimeIndexProperties):
     def __sub__(self, other: Timedelta | TimedeltaIndex) -> DatetimeIndex: ...
     @overload
     def __sub__(self, other: Timestamp | DatetimeIndex) -> TimedeltaIndex: ...
-    def union_many(self, others): ...
     # overload needed because Index.to_series() and DatetimeIndex.to_series() have
     # different arguments
     def to_series(self, keep_tz=..., index=..., name=...) -> TimestampSeries: ...  # type: ignore[override]
     def snap(self, freq: str = ...): ...
     def get_value(self, series, key): ...
-    def get_loc(self, key, method=..., tolerance=...): ...
-    def slice_indexer(self, start=..., end=..., step=..., kind=...): ...
+    def get_loc(self, key, tolerance=...): ...
+    def slice_indexer(self, start=..., end=..., step=...): ...
     def searchsorted(self, value, side: str = ..., sorter=...): ...
     def is_type_compatible(self, typ) -> bool: ...
     @property

pandas-stubs/core/indexes/interval.pyi

@@ -59,9 +59,7 @@ class IntervalIndex(IntervalMixin, ExtensionIndex):
     def memory_usage(self, deep: bool = ...) -> int: ...
     @property
     def is_overlapping(self) -> bool: ...
-    def get_loc(
-        self, key, method: str | None = ..., tolerance=...
-    ) -> int | slice | np.ndarray: ...
+    def get_loc(self, key, tolerance=...) -> int | slice | np.ndarray: ...
     def get_indexer(
         self,
         targetArrayLike,

pandas-stubs/core/indexes/multi.pyi

@@ -118,10 +118,10 @@ class MultiIndex(Index):
     def get_indexer_non_unique(self, target): ...
     def reindex(self, target, method=..., level=..., limit=..., tolerance=...): ...
     def get_slice_bound(
-        self, label: Hashable | Sequence[Hashable], side: str, kind: str = ...
+        self, label: Hashable | Sequence[Hashable], side: str
     ) -> int: ...
-    def slice_locs(self, start=..., end=..., step=..., kind=...): ...
-    def get_loc(self, key, method=...): ...
+    def slice_locs(self, start=..., end=..., step=...): ...
+    def get_loc(self, key): ...
     def get_loc_level(self, key, level=..., drop_level: bool = ...): ...
     def get_locs(self, seq): ...
     def truncate(self, before=..., after=...): ...

pandas-stubs/core/indexes/numeric.pyi

@@ -37,6 +37,6 @@ class Float64Index(NumericIndex):
     def get_value(self, series, key): ...
     def equals(self, other) -> bool: ...
     def __contains__(self, other) -> bool: ...
-    def get_loc(self, key, method=..., tolerance=...): ...
+    def get_loc(self, key, tolerance=...): ...
     def is_unique(self) -> bool: ...
     def isin(self, values, level=...): ...

pandas-stubs/core/indexes/period.pyi

@@ -31,7 +31,7 @@ class PeriodIndex(DatetimeIndexOpsMixin, Int64Index):
     def get_value(self, series, key): ...
     def get_indexer(self, target, method=..., limit=..., tolerance=...): ...
     def get_indexer_non_unique(self, target): ...
-    def get_loc(self, key, method=..., tolerance=...): ...
+    def get_loc(self, key, tolerance=...): ...
     def insert(self, loc, item): ...
     def join(
         self,

pandas-stubs/core/indexes/range.pyi

@@ -37,7 +37,7 @@ class RangeIndex(Int64Index):
     @property
     def has_duplicates(self) -> bool: ...
     def __contains__(self, key: int | np.integer) -> bool: ...
-    def get_loc(self, key, method=..., tolerance=...): ...
+    def get_loc(self, key, tolerance=...): ...
     def get_indexer(self, target, method=..., limit=..., tolerance=...): ...
     def tolist(self): ...
     def copy(self, name=..., deep: bool = ..., dtype=..., **kwargs): ...

pandas-stubs/core/indexes/timedeltas.pyi

@@ -34,7 +34,7 @@ class TimedeltaIndex(DatetimeTimedeltaMixin, TimelikeOps):
     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, typ) -> bool: ...
     @property

pandas-stubs/core/series.pyi

@@ -1056,8 +1056,6 @@ class Series(IndexOpsMixin, NDFrame, Generic[S1]):
         self,
         start_time: _str | time,
         end_time: _str | time,
-        include_start: _bool = ...,
-        include_end: _bool = ...,
         axis: SeriesAxisType | None = ...,
     ) -> Series[S1]: ...
     def resample(
@@ -1082,7 +1080,7 @@ class Series(IndexOpsMixin, NDFrame, Generic[S1]):
         self,
         axis: SeriesAxisType = ...,
         method: Literal["average", "min", "max", "first", "dense"] = ...,
-        numeric_only: _bool | None = ...,
+        numeric_only: _bool = ...,
         na_option: Literal["keep", "top", "bottom"] = ...,
         ascending: _bool = ...,
         pct: _bool = ...,

pandas-stubs/core/window/rolling.pyi

@@ -42,7 +42,6 @@ class _Window(PandasObject, SelectionMixin):
     def is_datetimelike(self) -> bool | None: ...
     @property
     def is_freq_type(self) -> bool: ...
-    def validate(self) -> None: ...
     def __getattr__(self, attr: str): ...
     def __iter__(self): ...
     def aggregate(
@@ -53,7 +52,6 @@ class _Window(PandasObject, SelectionMixin):
     ) -> Scalar | DataFrame | Series: ...
 
 class Window(_Window):
-    def validate(self) -> None: ...
     def sum(self, *args, **kwargs): ...
     def mean(self, *args, **kwargs): ...
     def var(self, ddof: int = ..., *args, **kwargs): ...
@@ -104,7 +102,6 @@ class Rolling(_Rolling_and_Expanding):
     window = ...
     win_type: str = ...
     min_periods: int = ...
-    def validate(self) -> None: ...
     def count(self) -> DataFrame | Series: ...
     def apply(
         self,

pandas-stubs/io/xml.pyi

@@ -15,6 +15,7 @@ from pandas._typing import (
 
 def read_xml(
     path_or_buffer: FilePath | ReadBuffer[bytes] | ReadBuffer[str],
+    *,
     xpath: str = ...,
     namespaces: dict[str, str] | None = ...,
     elems_only: bool = ...,