DEPR: Enforce deprecation of Categorical.min/max(numeric_only)

doc/source/whatsnew/v2.0.0.rst

@@ -145,6 +145,7 @@ Deprecations
 Removal of prior version deprecations/changes
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 - Disallow passing non-round floats to :class:`Timestamp` with ``unit="M"`` or ``unit="Y"`` (:issue:`47266`)
+- Removed the ``numeric_only`` keyword from :meth:`Categorical.min` and :meth:`Categorical.max` in favor of ``skipna`` (:issue:`48821`)
 - Removed :func:`is_extension_type` in favor of :func:`is_extension_array_dtype` (:issue:`29457`)
 - Remove :meth:`DataFrameGroupBy.pad` and :meth:`DataFrameGroupBy.backfill` (:issue:`45076`)
 

pandas/core/arrays/categorical.py

@@ -48,10 +48,7 @@
     type_t,
 )
 from pandas.compat.numpy import function as nv
-from pandas.util._decorators import (
-    deprecate_kwarg,
-    deprecate_nonkeyword_arguments,
-)
+from pandas.util._decorators import deprecate_nonkeyword_arguments
 from pandas.util._exceptions import find_stack_level
 from pandas.util._validators import validate_bool_kwarg
 
@@ -2313,7 +2310,6 @@ def _reverse_indexer(self) -> dict[Hashable, npt.NDArray[np.intp]]:
     # ------------------------------------------------------------------
     # Reductions
 
-    @deprecate_kwarg(old_arg_name="numeric_only", new_arg_name="skipna")
     def min(self, *, skipna: bool = True, **kwargs):
         """
         The minimum value of the object.
@@ -2350,7 +2346,6 @@ def min(self, *, skipna: bool = True, **kwargs):
             pointer = self._codes.min()
         return self._wrap_reduction_result(None, pointer)
 
-    @deprecate_kwarg(old_arg_name="numeric_only", new_arg_name="skipna")
     def max(self, *, skipna: bool = True, **kwargs):
         """
         The maximum value of the object.

pandas/tests/arrays/categorical/test_analytics.py

@@ -105,12 +105,12 @@ def test_min_max_only_nan(self, function, skipna):
         assert result is np.nan
 
     @pytest.mark.parametrize("method", ["min", "max"])
-    def test_deprecate_numeric_only_min_max(self, method):
+    def test_numeric_only_min_max_raises(self, method):
         # GH 25303
         cat = Categorical(
             [np.nan, 1, 2, np.nan], categories=[5, 4, 3, 2, 1], ordered=True
         )
-        with tm.assert_produces_warning(expected_warning=FutureWarning):
+        with pytest.raises(TypeError, match=".* got an unexpected keyword"):
             getattr(cat, method)(numeric_only=True)
 
     @pytest.mark.parametrize("method", ["min", "max"])