BUG: all not ignoring na when skipna=True (#55367)

* BUG: all not ignoring na when skipna=True

* Update v2.1.2.rst

doc/source/whatsnew/v2.1.2.rst

@@ -29,6 +29,7 @@ Bug fixes
 - Fixed bug in :meth:`DataFrame.resample` not respecting ``closed`` and ``label`` arguments for :class:`~pandas.tseries.offsets.BusinessDay` (:issue:`55282`)
 - Fixed bug in :meth:`DataFrame.resample` where bin edges were not correct for :class:`~pandas.tseries.offsets.BusinessDay` (:issue:`55281`)
 - Fixed bug in :meth:`Index.insert` raising when inserting ``None`` into :class:`Index` with ``dtype="string[pyarrow_numpy]"`` (:issue:`55365`)
+- Fixed bug in :meth:`Series.all`  and :meth:`Series.any` not treating missing values correctly for ``dtype="string[pyarrow_numpy]"`` (:issue:`55367`)
 - Fixed bug in :meth:`Series.rank` for ``string[pyarrow_numpy]`` dtype (:issue:`55362`)
 - Silence ``Period[B]`` warnings introduced by :issue:`53446` during normal plotting activity (:issue:`55138`)
 -

pandas/core/arrays/string_arrow.py

@@ -631,9 +631,11 @@ def _reduce(
         self, name: str, *, skipna: bool = True, keepdims: bool = False, **kwargs
     ):
         if name in ["any", "all"]:
-            arr = pc.and_kleene(
-                pc.invert(pc.is_null(self._pa_array)), pc.not_equal(self._pa_array, "")
-            )
+            if not skipna and name == "all":
+                nas = pc.invert(pc.is_null(self._pa_array))
+                arr = pc.and_kleene(nas, pc.not_equal(self._pa_array, ""))
+            else:
+                arr = pc.not_equal(self._pa_array, "")
             return ArrowExtensionArray(arr)._reduce(
                 name, skipna=skipna, keepdims=keepdims, **kwargs
             )

pandas/tests/reductions/test_reductions.py

@@ -1087,7 +1087,8 @@ def test_any_all_pyarrow_string(self):
 
         ser = Series([None, "a"], dtype="string[pyarrow_numpy]")
         assert ser.any()
-        assert not ser.all()
+        assert ser.all()
+        assert not ser.all(skipna=False)
 
         ser = Series([None, ""], dtype="string[pyarrow_numpy]")
         assert not ser.any()