BUG: Fix for #12863

For 'any()' and 'all()' not returning bool when ndarray is an object

Author: MomIsBestFriend

pandas/core/nanops.py

@@ -407,7 +407,7 @@ def nanany(values, axis=None, skipna: bool = True, mask=None):
 
     Returns
     -------
-    result : bool
+    bool
 
     Examples
     --------
@@ -421,7 +421,11 @@ def nanany(values, axis=None, skipna: bool = True, mask=None):
     >>> nanops.nanany(s)
     False
     """
-    values, _, _, _, _ = _get_values(values, skipna, fill_value=False, mask=mask)
+    values, _, dtype, _, _ = _get_values(values, skipna, fill_value=False, mask=mask)
+
+    if is_object_dtype(dtype):
+        return values.any()
+
     return values.any(axis)
 
 
@@ -439,7 +443,7 @@ def nanall(values, axis=None, skipna: bool = True, mask=None):
 
     Returns
     -------
-    result : bool
+    bool
 
     Examples
     --------
@@ -453,7 +457,11 @@ def nanall(values, axis=None, skipna: bool = True, mask=None):
     >>> nanops.nanall(s)
     False
     """
-    values, _, _, _, _ = _get_values(values, skipna, fill_value=True, mask=mask)
+    values, _, dtype, _, _ = _get_values(values, skipna, fill_value=True, mask=mask)
+
+    if is_object_dtype(dtype):
+        return values.all()
+
     return values.all(axis)
 
 

pandas/tests/reductions/test_reductions.py

@@ -811,19 +811,33 @@ def test_all_any(self):
         assert not bool_series.all()
         assert bool_series.any()
 
-        # Alternative types, with implicit 'object' dtype.
-        s = Series(["abc", True])
-        assert "abc" == s.any()  # 'abc' || True => 'abc'
+        # GH 12863
+        s1 = Series(["abc", True])
+        s2 = Series(["abc", False])
+
+        assert s1.all()
+        assert s1.any()
+
+        assert not s2.all()
+        assert s2.any()
 
     def test_all_any_params(self):
         # Check skipna, with implicit 'object' dtype.
         s1 = Series([np.nan, True])
         s2 = Series([np.nan, False])
-        assert s1.all(skipna=False)  # nan && True => True
+
         assert s1.all(skipna=True)
-        assert np.isnan(s2.any(skipna=False))  # nan || False => nan
+        assert s1.any(skipna=True)
+
+        assert s1.all(skipna=False)
+        assert s1.any(skipna=False)
+
+        assert not s2.all(skipna=True)
         assert not s2.any(skipna=True)
 
+        assert not s2.all(skipna=False)
+        assert s2.any(skipna=False)
+
         # Check level.
         s = pd.Series([False, False, True, True, False, True], index=[0, 0, 1, 1, 2, 2])
         tm.assert_series_equal(s.all(level=0), Series([False, True, False]))

pandas/tests/series/test_apply.py

@@ -375,8 +375,8 @@ def test_non_callable_aggregates(self):
                     ("sum", "abc"),
                     ("max", "c"),
                     ("min", "a"),
-                    ("all", "c"),  # see GH12863
-                    ("any", "a"),
+                    ("all", True),
+                    ("any", True),
                 ],
             ),
         ),