MAINT: Bump pandas to 1.5.0

pandas-stubs/core/algorithms.pyi

@@ -26,7 +26,6 @@ def unique(values: ExtensionArray) -> ExtensionArray: ...
 def factorize(
     values: Any,
     sort: bool = ...,
-    na_sentinel: int | None = ...,
     use_na_sentinel: bool = ...,
     size_hint: int | None = ...,
 ) -> tuple[np.ndarray, np.ndarray | Index]: ...

pandas-stubs/core/arrays/categorical.pyi

@@ -64,22 +64,9 @@ class Categorical(ExtensionArray, PandasObject):
     ) -> Categorical: ...
     @property
     def codes(self) -> np_ndarray_int: ...
-    @overload
-    def set_ordered(self, value, inplace: Literal[True]) -> None: ...
-    @overload
-    def set_ordered(self, value, inplace: Literal[False] = ...) -> Categorical: ...
-    @overload
-    def set_ordered(self, value, inplace: bool = ...) -> Categorical | None: ...
-    @overload
-    def as_ordered(self, inplace: Literal[True]) -> None: ...
-    @overload
-    def as_ordered(self, inplace: Literal[False] = ...) -> Categorical: ...
-    @overload
-    def as_ordered(self, inplace: bool = ...) -> Categorical | None: ...
-    @overload
-    def as_unordered(self, inplace: Literal[True]) -> None: ...
-    @overload
-    def as_unordered(self, inplace: Literal[False] = ...) -> Categorical: ...
+    def set_ordered(self, value) -> Categorical: ...
+    def as_ordered(self) -> Categorical: ...
+    def as_unordered(self) -> Categorical: ...
     @overload
     def set_categories(
         self, new_categories, ordered=..., rename: bool = ..., *, inplace: Literal[True]

pandas-stubs/core/base.pyi

@@ -17,10 +17,6 @@ from pandas._typing import (
     npt,
 )
 
-# TODO: These two moved to pandas.errors after switch to 1.5.x
-class DataError(Exception): ...
-class SpecificationError(Exception): ...
-
 class PandasObject(DirNamesMixin):
     def __sizeof__(self) -> int: ...
 
@@ -80,13 +76,11 @@ class IndexOpsMixin:
     @property
     def is_unique(self) -> bool: ...
     @property
-    def is_monotonic(self) -> bool: ...
-    @property
     def is_monotonic_decreasing(self) -> bool: ...
     @property
     def is_monotonic_increasing(self) -> bool: ...
     def factorize(
-        self, sort: bool = ..., na_sentinel: int = ...
+        self, sort: bool = ...
     ) -> tuple[np.ndarray, np.ndarray | Index | Categorical]: ...
     def searchsorted(
         self, value, side: Literal["left", "right"] = ..., sorter=...

pandas-stubs/core/common.pyi

@@ -5,10 +5,6 @@ from typing import (
 
 from pandas._typing import T
 
-# TODO: Remove from here after 1.5.x is target, moved to pandas.errors
-class SettingWithCopyError(ValueError): ...
-class SettingWithCopyWarning(Warning): ...
-
 def flatten(line) -> None: ...
 def consensus_name_attr(objs): ...
 def is_bool_indexer(key) -> bool: ...

pandas-stubs/core/computation/engines.pyi

@@ -1,8 +1,5 @@
 import abc
 
-# TODO: Remove from here after 1.5.x, moved to pandas.errors
-class NumExprClobberingError(NameError): ...
-
 class AbstractEngine(metaclass=abc.ABCMeta):
     has_neg_frac: bool = ...
     expr = ...

pandas-stubs/core/frame.pyi

@@ -1170,15 +1170,13 @@ class DataFrame(NDFrame, OpsMixin):
         self,
         q: float = ...,
         axis: AxisType = ...,
-        numeric_only: _bool = ...,
         interpolation: QuantileInterpolation = ...,
     ) -> Series: ...
     @overload
     def quantile(
         self,
         q: list[float] | np.ndarray,
         axis: AxisType = ...,
-        numeric_only: _bool = ...,
         interpolation: QuantileInterpolation = ...,
     ) -> DataFrame: ...
     def to_timestamp(
@@ -1523,15 +1521,13 @@ class DataFrame(NDFrame, OpsMixin):
         axis: AxisType | None = ...,
         skipna: _bool | None = ...,
         level: None = ...,
-        numeric_only: _bool | None = ...,
         **kwargs,
     ) -> Series: ...
     def kurtosis(
         self,
         axis: AxisType | None = ...,
         skipna: _bool | None = ...,
         level: None = ...,
-        numeric_only: _bool | None = ...,
         **kwargs,
     ) -> Series: ...
     def last(self, offset) -> DataFrame: ...
@@ -1573,31 +1569,27 @@ class DataFrame(NDFrame, OpsMixin):
         axis: AxisType | None = ...,
         skipna: _bool | None = ...,
         level: None = ...,
-        numeric_only: _bool | None = ...,
         **kwargs,
     ) -> Series: ...
     def mean(
         self,
         axis: AxisType | None = ...,
         skipna: _bool | None = ...,
         level: None = ...,
-        numeric_only: _bool | None = ...,
         **kwargs,
     ) -> Series: ...
     def median(
         self,
         axis: AxisType | None = ...,
         skipna: _bool | None = ...,
         level: None = ...,
-        numeric_only: _bool | None = ...,
         **kwargs,
     ) -> Series: ...
     def min(
         self,
         axis: AxisType | None = ...,
         skipna: _bool | None = ...,
         level: None = ...,
-        numeric_only: _bool | None = ...,
         **kwargs,
     ) -> Series: ...
     def mod(
@@ -1651,7 +1643,6 @@ class DataFrame(NDFrame, OpsMixin):
         axis: AxisType | None = ...,
         skipna: _bool | None = ...,
         level: None = ...,
-        numeric_only: _bool | None = ...,
         min_count: int = ...,
         **kwargs,
     ) -> Series: ...
@@ -1660,7 +1651,6 @@ class DataFrame(NDFrame, OpsMixin):
         axis: AxisType | None = ...,
         skipna: _bool = ...,
         level: None = ...,
-        numeric_only: _bool | None = ...,
         min_count: int = ...,
         **kwargs,
     ) -> Series: ...
@@ -1829,7 +1819,6 @@ class DataFrame(NDFrame, OpsMixin):
         skipna: _bool | None = ...,
         level: None = ...,
         ddof: int = ...,
-        numeric_only: _bool | None = ...,
         **kwargs,
     ) -> Series: ...
     @overload
@@ -1854,7 +1843,6 @@ class DataFrame(NDFrame, OpsMixin):
         axis: AxisType | None = ...,
         skipna: _bool | None = ...,
         level: None = ...,
-        numeric_only: _bool | None = ...,
         **kwargs,
     ) -> Series: ...
     def slice_shift(self, periods: int = ..., axis: AxisType = ...) -> DataFrame: ...
@@ -1865,7 +1853,6 @@ class DataFrame(NDFrame, OpsMixin):
         skipna: _bool = ...,
         level: None = ...,
         ddof: int = ...,
-        numeric_only: _bool = ...,
         **kwargs,
     ) -> Series: ...
     def sub(
@@ -1887,7 +1874,6 @@ class DataFrame(NDFrame, OpsMixin):
         axis: AxisType | None = ...,
         skipna: _bool | None = ...,
         level: None = ...,
-        numeric_only: _bool | None = ...,
         min_count: int = ...,
         **kwargs,
     ) -> Series: ...
@@ -2023,7 +2009,6 @@ class DataFrame(NDFrame, OpsMixin):
         skipna: _bool | None = ...,
         level: None = ...,
         ddof: int = ...,
-        numeric_only: _bool | None = ...,
         **kwargs,
     ) -> Series: ...
     def where(

pandas-stubs/core/indexes/base.pyi

@@ -107,8 +107,6 @@ class Index(IndexOpsMixin, PandasObject):
     def get_level_values(self, level: int | _str) -> Index: ...
     def droplevel(self, level: Level | list[Level] = ...): ...
     @property
-    def is_monotonic(self) -> bool: ...
-    @property
     def is_monotonic_increasing(self) -> bool: ...
     @property
     def is_monotonic_decreasing(self) -> bool: ...

pandas-stubs/core/indexing.pyi

@@ -24,9 +24,6 @@ class _IndexSlice:
 
 IndexSlice: _IndexSlice
 
-# TODO: Remove from here after 1.5.x, moved to pandas.errors
-class IndexingError(Exception): ...
-
 class IndexingMixin:
     @property
     def iloc(self) -> _iLocIndexer: ...

pandas-stubs/core/series.pyi

@@ -79,7 +79,6 @@ from pandas._typing import (
     IgnoreRaise,
     IndexingInt,
     JsonSeriesOrient,
-    Label,
     Level,
     ListLike,
     MaskType,
@@ -395,7 +394,6 @@ class Series(IndexOpsMixin, NDFrame, Generic[S1]):
     ) -> _str: ...
     def to_xarray(self) -> xr.DataArray: ...
     def items(self) -> Iterable[tuple[Hashable, S1]]: ...
-    def iteritems(self) -> Iterable[tuple[Label, S1]]: ...
     def keys(self) -> list: ...
     @overload
     def to_dict(self) -> dict[Hashable, S1]: ...
@@ -1345,15 +1343,13 @@ class Series(IndexOpsMixin, NDFrame, Generic[S1]):
         axis: SeriesAxisType | None = ...,
         skipna: _bool = ...,
         level: None = ...,
-        numeric_only: _bool | None = ...,
         **kwargs,
     ) -> Scalar: ...
     def kurtosis(
         self,
         axis: SeriesAxisType | None = ...,
         skipna: _bool = ...,
         level: None = ...,
-        numeric_only: _bool | None = ...,
         **kwargs,
     ) -> Scalar: ...
     def le(
@@ -1393,31 +1389,27 @@ class Series(IndexOpsMixin, NDFrame, Generic[S1]):
         skipna: _bool = ...,
         *,
         level: None = ...,
-        numeric_only: _bool | None = ...,
         **kwargs,
     ) -> S1: ...
     def mean(
         self,
         axis: SeriesAxisType | None = ...,
         skipna: _bool = ...,
         level: None = ...,
-        numeric_only: _bool | None = ...,
         **kwargs,
     ) -> float: ...
     def median(
         self,
         axis: SeriesAxisType | None = ...,
         skipna: _bool = ...,
         level: None = ...,
-        numeric_only: _bool | None = ...,
         **kwargs,
     ) -> float: ...
     def min(
         self,
         axis: SeriesAxisType | None = ...,
         skipna: _bool = ...,
         level: None = ...,
-        numeric_only: _bool | None = ...,
         **kwargs,
     ) -> S1: ...
     def mod(
@@ -1461,7 +1453,6 @@ class Series(IndexOpsMixin, NDFrame, Generic[S1]):
         axis: SeriesAxisType | None = ...,
         skipna: _bool | None = ...,
         level: None = ...,
-        numeric_only: _bool | None = ...,
         min_count: int = ...,
         **kwargs,
     ) -> Scalar: ...
@@ -1470,7 +1461,6 @@ class Series(IndexOpsMixin, NDFrame, Generic[S1]):
         axis: SeriesAxisType | None = ...,
         skipna: _bool | None = ...,
         level: None = ...,
-        numeric_only: _bool | None = ...,
         min_count: int = ...,
         **kwargs,
     ) -> Scalar: ...
@@ -1559,15 +1549,13 @@ class Series(IndexOpsMixin, NDFrame, Generic[S1]):
         skipna: _bool | None = ...,
         level: None = ...,
         ddof: int = ...,
-        numeric_only: _bool | None = ...,
         **kwargs,
     ) -> Scalar: ...
     def skew(
         self,
         axis: SeriesAxisType | None = ...,
         skipna: _bool | None = ...,
         level: None = ...,
-        numeric_only: _bool | None = ...,
         **kwargs,
     ) -> Scalar: ...
     def std(
@@ -1576,7 +1564,6 @@ class Series(IndexOpsMixin, NDFrame, Generic[S1]):
         skipna: _bool | None = ...,
         level: None = ...,
         ddof: int = ...,
-        numeric_only: _bool | None = ...,
         **kwargs,
     ) -> float: ...
     def sub(
@@ -1598,7 +1585,6 @@ class Series(IndexOpsMixin, NDFrame, Generic[S1]):
         axis: SeriesAxisType | None = ...,
         skipna: _bool | None = ...,
         level: None = ...,
-        numeric_only: _bool | None = ...,
         min_count: int = ...,
         **kwargs,
     ) -> S1: ...
@@ -1624,7 +1610,6 @@ class Series(IndexOpsMixin, NDFrame, Generic[S1]):
         skipna: _bool | None = ...,
         level: None = ...,
         ddof: int = ...,
-        numeric_only: _bool | None = ...,
         **kwargs,
     ) -> Scalar: ...
     @overload