DEPR: Remove DeprecationWarnings

doc/source/whatsnew/v2.0.0.rst

@@ -788,7 +788,8 @@ Removal of prior version deprecations/changes
 - Removed the deprecated argument ``line_terminator`` from :meth:`DataFrame.to_csv` (:issue:`45302`)
 - Removed the deprecated argument ``label`` from :func:`lreshape` (:issue:`30219`)
 - Arguments after ``expr`` in :meth:`DataFrame.eval` and :meth:`DataFrame.query` are keyword-only (:issue:`47587`)
--
+- Removed :meth:`Index._get_attributes_dict` (:issue:`50648`)
+- Removed :meth:`Series.__array_wrap__` (:issue:`50648`)
 
 .. ---------------------------------------------------------------------------
 .. _whatsnew_200.performance:

pandas/core/generic.py

@@ -2009,43 +2009,6 @@ def empty(self) -> bool_t:
     def __array__(self, dtype: npt.DTypeLike | None = None) -> np.ndarray:
         return np.asarray(self._values, dtype=dtype)
 
-    def __array_wrap__(
-        self,
-        result: np.ndarray,
-        context: tuple[Callable, tuple[Any, ...], int] | None = None,
-    ):
-        """
-        Gets called after a ufunc and other functions.
-
-        Parameters
-        ----------
-        result: np.ndarray
-            The result of the ufunc or other function called on the NumPy array
-            returned by __array__
-        context: tuple of (func, tuple, int)
-            This parameter is returned by ufuncs as a 3-element tuple: (name of the
-            ufunc, arguments of the ufunc, domain of the ufunc), but is not set by
-            other numpy functions.q
-
-        Notes
-        -----
-        Series implements __array_ufunc_ so this not called for ufunc on Series.
-        """
-        # Note: at time of dask 2022.01.0, this is still used by dask
-        warnings.warn(
-            "The __array_wrap__ method of DataFrame and Series will be removed in "
-            "a future version",
-            DeprecationWarning,
-            stacklevel=find_stack_level(),
-        )
-        res = lib.item_from_zerodim(result)
-        if is_scalar(res):
-            # e.g. we get here with np.ptp(series)
-            # ptp also requires the item_from_zerodim
-            return res
-        d = self._construct_axes_dict(self._AXIS_ORDERS, copy=False)
-        return self._constructor(res, **d).__finalize__(self, method="__array_wrap__")
-
     @final
     def __array_ufunc__(
         self, ufunc: np.ufunc, method: str, *inputs: Any, **kwargs: Any

pandas/core/indexes/base.py

@@ -698,22 +698,6 @@ def _format_duplicate_message(self) -> DataFrame:
     # --------------------------------------------------------------------
     # Index Internals Methods
 
-    @final
-    def _get_attributes_dict(self) -> dict[str_t, Any]:
-        """
-        Return an attributes dict for my class.
-
-        Temporarily added back for compatibility issue in dask, see
-        https://github.com/pandas-dev/pandas/pull/43895
-        """
-        warnings.warn(
-            "The Index._get_attributes_dict method is deprecated, and will be "
-            "removed in a future version",
-            DeprecationWarning,
-            stacklevel=find_stack_level(),
-        )
-        return {k: getattr(self, k, None) for k in self._attributes}
-
     def _shallow_copy(self: _IndexT, values, name: Hashable = no_default) -> _IndexT:
         """
         Create a new Index with the same class as the caller, don't copy the

pandas/tests/base/test_misc.py

@@ -84,17 +84,6 @@ def test_ndarray_compat_properties(index_or_series_obj):
     assert Series([1]).item() == 1
 
 
-def test_array_wrap_compat():
-    # Note: at time of dask 2022.01.0, this is still used by eg dask
-    # (https://github.com/dask/dask/issues/8580).
-    # This test is a small dummy ensuring coverage
-    orig = Series([1, 2, 3], dtype="int64", index=["a", "b", "c"])
-    with tm.assert_produces_warning(DeprecationWarning):
-        result = orig.__array_wrap__(np.array([2, 4, 6], dtype="int64"))
-    expected = orig * 2
-    tm.assert_series_equal(result, expected)
-
-
 @pytest.mark.skipif(PYPY, reason="not relevant for PyPy")
 def test_memory_usage(index_or_series_obj):
     obj = index_or_series_obj

pandas/tests/indexes/test_base.py

@@ -1605,14 +1605,6 @@ def test_construct_from_memoryview(klass, extra_kwargs):
     tm.assert_index_equal(result, expected, exact=True)
 
 
-def test_get_attributes_dict_deprecated():
-    # https://github.com/pandas-dev/pandas/pull/44028
-    idx = Index([1, 2, 3, 1])
-    with tm.assert_produces_warning(DeprecationWarning):
-        attrs = idx._get_attributes_dict()
-    assert attrs == {"name": None}
-
-
 @pytest.mark.parametrize("op", [operator.lt, operator.gt])
 def test_nan_comparison_same_object(op):
     # GH#47105

pandas/tests/test_downstream.py

@@ -58,11 +58,7 @@ def test_dask(df):
         pd.set_option("compute.use_numexpr", olduse)
 
 
-@pytest.mark.filterwarnings("ignore:The __array_wrap__:DeprecationWarning")
 def test_dask_ufunc():
-    # At the time of dask 2022.01.0, dask is still directly using __array_wrap__
-    # for some ufuncs (https://github.com/dask/dask/issues/8580).
-
     # dask sets "compute.use_numexpr" to False, so catch the current value
     # and ensure to reset it afterwards to avoid impacting other tests
     olduse = pd.get_option("compute.use_numexpr")