Preserving dtype in Series.any/all function with level keyword pandas-dev#33449

Author: KenilMehta

pandas/core/generic.py

@@ -11222,6 +11222,8 @@ def logical_func(self, axis=0, bool_only=None, skipna=True, level=None, **kwargs
                 raise NotImplementedError(
                     "Option bool_only is not implemented with option level."
                 )
+            if isinstance(self, pd.Series) and self.dtype.name == "boolean":
+                return self._agg_by_level(name, axis=axis, level=level, skipna=skipna).astype("boolean")
             return self._agg_by_level(name, axis=axis, level=level, skipna=skipna)
         return self._reduce(
             func,

pandas/tests/reductions/test_reductions.py

@@ -912,8 +912,8 @@ def test_all_any_boolean(self):
             index=[0, 0, 1, 1, 2, 2],
             dtype="boolean",
         )
-        tm.assert_series_equal(s.all(level=0), Series([False, True, False]))
-        tm.assert_series_equal(s.any(level=0), Series([False, True, True]))
+        tm.assert_series_equal(s.all(level=0), Series([False, True, False], dtype="boolean"))
+        tm.assert_series_equal(s.any(level=0), Series([False, True, True], dtype="boolean"))
 
     def test_timedelta64_analytics(self):