pandas 2.0 removals in core/arrays

pandas-stubs/core/arrays/categorical.pyi

@@ -2,11 +2,7 @@ from collections.abc import (
     Callable,
     Sequence,
 )
-from typing import (
-    Any,
-    Literal,
-    overload,
-)
+from typing import Any
 
 import numpy as np
 from pandas import Series
@@ -48,7 +44,6 @@ class Categorical(ExtensionArray):
     def dtype(self) -> CategoricalDtype: ...
     def astype(self, dtype: Dtype, copy: bool = ...) -> ArrayLike: ...
     def size(self) -> int: ...
-    def itemsize(self) -> int: ...
     def tolist(self) -> list[Scalar]: ...
     to_list = ...
     @classmethod
@@ -65,72 +60,16 @@ class Categorical(ExtensionArray):
     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]
-    ) -> None: ...
-    @overload
-    def set_categories(
-        self,
-        new_categories,
-        ordered=...,
-        rename: bool = ...,
-        inplace: Literal[False] = ...,
-    ) -> Categorical: ...
-    @overload
     def set_categories(
-        self, new_categories, ordered=..., rename: bool = ..., inplace: bool = ...
-    ) -> Categorical | None: ...
-    @overload
-    def rename_categories(self, new_categories, inplace: Literal[True]) -> None: ...
-    @overload
-    def rename_categories(
-        self, new_categories, inplace: Literal[False] = ...
+        self, new_categories, ordered: bool | None = ..., rename: bool = ...
     ) -> Categorical: ...
-    @overload
-    def rename_categories(
-        self, new_categories, inplace: bool = ...
-    ) -> Categorical | None: ...
-    @overload
-    def reorder_categories(
-        self, new_categories, ordered=..., *, inplace: Literal[True]
-    ) -> None: ...
-    @overload
+    def rename_categories(self, new_categories) -> Categorical: ...
     def reorder_categories(
-        self, new_categories, ordered=..., inplace: Literal[False] = ...
-    ) -> Categorical: ...
-    @overload
-    def reorder_categories(
-        self, new_categories, ordered=..., inplace: bool = ...
-    ) -> Categorical | None: ...
-    @overload
-    def add_categories(self, new_categories, inplace: Literal[True]) -> None: ...
-    @overload
-    def add_categories(
-        self, new_categories, inplace: Literal[False] = ...
-    ) -> Categorical: ...
-    @overload
-    def add_categories(
-        self, new_categories, inplace: bool = ...
-    ) -> Categorical | None: ...
-    @overload
-    def remove_categories(self, removals, inplace: Literal[True]) -> None: ...
-    @overload
-    def remove_categories(
-        self, removals, inplace: Literal[False] = ...
-    ) -> Categorical: ...
-    @overload
-    def remove_categories(
-        self, removals, inplace: bool = ...
-    ) -> Categorical | None: ...
-    @overload
-    def remove_unused_categories(self, inplace: Literal[True]) -> None: ...
-    @overload
-    def remove_unused_categories(
-        self, inplace: Literal[False] = ...
+        self, new_categories, ordered: bool | None = ...
     ) -> Categorical: ...
-    @overload
-    def remove_unused_categories(self, inplace: bool = ...) -> Categorical | None: ...
+    def add_categories(self, new_categories) -> Categorical: ...
+    def remove_categories(self, removals) -> Categorical: ...
+    def remove_unused_categories(self) -> Categorical: ...
     def map(self, mapper): ...
     def __eq__(self, other) -> bool: ...
     def __ne__(self, other) -> bool: ...
@@ -161,23 +100,19 @@ class Categorical(ExtensionArray):
         self, *, inplace: bool = ..., ascending: bool = ..., na_position: str = ...
     ): ...
     def view(self, dtype=...): ...
-    def to_dense(self): ...
     def fillna(self, value=..., method=..., limit=...): ...
     def take(
         self, indexer: TakeIndexer, *, allow_fill: bool = ..., fill_value=...
     ) -> Categorical: ...
-    def take_nd(self, indexer, allow_fill: bool = ..., fill_value=...): ...
     def __len__(self) -> int: ...
     def __iter__(self): ...
     def __contains__(self, key) -> bool: ...
     def __getitem__(self, key): ...
     def __setitem__(self, key, value) -> None: ...
     def min(self, *, skipna: bool = ...): ...
     def max(self, *, skipna: bool = ...): ...
-    def mode(self, dropna: bool = ...): ...
     def unique(self): ...
     def equals(self, other): ...
-    def is_dtype_equal(self, other): ...
     def describe(self): ...
     def repeat(self, repeats, axis=...): ...
     def isin(self, values): ...

pandas-stubs/core/arrays/datetimes.pyi

@@ -50,8 +50,6 @@ class DatetimeArray(DatetimeLikeArrayMixin, TimelikeOps, DatelikeOps):
     second = ...
     microsecond = ...
     nanosecond = ...
-    weekofyear = ...
-    week = ...
     dayofweek = ...
     weekday = ...
     dayofyear = ...

pandas-stubs/core/groupby/generic.pyi

@@ -207,7 +207,7 @@ class DataFrameGroupBy(GroupBy[DataFrame], Generic[ByT]):
     ) -> DataFrame: ...
     # error: overload 1 overlaps overload 2 because of different return types
     @overload
-    def aggregate(self, func: Literal["size"]) -> Series: ...  # type: ignore[overload-overlap]  # pyright: ignore[reportOverlappingOverload]
+    def aggregate(self, func: Literal["size"]) -> Series: ...  # type: ignore[overload-overlap]
     @overload
     def aggregate(
         self,

tests/test_plotting.py

@@ -486,22 +486,23 @@ def test_plot_scatter(close_figures) -> None:
         ),
         Axes,
     )
-    check(
-        assert_type(
-            IRIS_DF.plot.scatter(x="SepalLength", y="SepalWidth", subplots=True),
-            npt.NDArray[np.object_],
-        ),
-        np.ndarray,
-    )
-    check(
-        assert_type(
-            IRIS_DF.plot(
-                x="SepalLength", y="SepalWidth", subplots=True, kind="scatter"
+    with pytest.warns(UserWarning):
+        check(
+            assert_type(
+                IRIS_DF.plot.scatter(x="SepalLength", y="SepalWidth", subplots=True),
+                npt.NDArray[np.object_],
             ),
-            npt.NDArray[np.object_],
-        ),
-        np.ndarray,
-    )
+            np.ndarray,
+        )
+        check(
+            assert_type(
+                IRIS_DF.plot(
+                    x="SepalLength", y="SepalWidth", subplots=True, kind="scatter"
+                ),
+                npt.NDArray[np.object_],
+            ),
+            np.ndarray,
+        )
 
 
 def test_plot_keywords(close_figures):