changes post review

Author: saldanhad

doc/source/whatsnew/v3.0.0.rst

@@ -490,7 +490,6 @@ Other Removals
 - Removed the ``method`` keyword in ``ExtensionArray.fillna``, implement ``ExtensionArray._pad_or_backfill`` instead (:issue:`53621`)
 - Removed the attribute ``dtypes`` from :class:`.DataFrameGroupBy` (:issue:`51997`)
 - Enforced deprecation of ``argmin``, ``argmax``, ``idxmin``, and ``idxmax`` returning a result when ``skipna=False`` and an NA value is encountered or all values are NA values; these operations will now raise in such cases (:issue:`33941`, :issue:`51276`)
-- Removed support for ``action="ignore"`` for :class:`SeriesApply` in :meth:`SeriesApply.apply_standard`, categorical NA value now returns ``False`` (:issue:`59938`)
 
 .. ---------------------------------------------------------------------------
 .. _whatsnew_300.performance:
@@ -545,7 +544,7 @@ Bug fixes
 
 Categorical
 ^^^^^^^^^^^
--
+- Removed support for ``action="ignore"`` for :class:`SeriesApply` in :meth:`SeriesApply.apply_standard`, categorical NA value now returns ``False`` (:issue:`59938`)
 -
 
 Datetimelike

pandas/core/apply.py

@@ -1462,10 +1462,6 @@ def curried(x):
 
         else:
             curried = func
-
-        #  remove the `na_action="ignore"` as default has been changed in
-        #  Categorical (GH 51645).
-        # Reference for below fix (GH 59966)
         mapped = obj._map_values(mapper=curried)
 
         if len(mapped) and isinstance(mapped[0], ABCSeries):

pandas/tests/apply/test_frame_apply.py

@@ -742,7 +742,8 @@ def test_apply_category_equalness(val):
     result = df.a.apply(lambda x: x == val)
     expected = Series(
         [False if pd.isnull(x) else x == val for x in df_values], name="a"
-    )  # False since behavior of NaN for categorical dtype has been changed (GH 59966)
+    )
+    # False since behavior of NaN for categorical dtype has been changed (GH 59966)
     tm.assert_series_equal(result, expected)