Check ndim instead of hashable

Author: leonarduschen

pandas/core/base.py

@@ -471,12 +471,11 @@ def is_any_frame() -> bool:
             try:
                 result = DataFrame(result)
             except ValueError:
-
                 # we have a dict of scalars
 
-                name = getattr(self, "name", None)
-                name = name if is_hashable(name) else None
-                # GH 36212
+                # GH 36212 use name only if self is a series
+                name = getattr(self, "name", None) if (self.ndim == 1) else None
+
                 result = Series(result, name=name)
 
             return result, True

pandas/tests/frame/apply/test_frame_apply.py

@@ -1147,7 +1147,7 @@ def test_demo(self):
         )
         tm.assert_frame_equal(result.reindex_like(expected), expected)
 
-    def test_agg_with_unhashable_name_column_value(self):
+    def test_agg_with_name_as_column_name(self):
         # GH 36212 - Column name is "name"
         data = {"name": ["foo", "bar"]}
         df = pd.DataFrame(data)
@@ -1157,7 +1157,7 @@ def test_agg_with_unhashable_name_column_value(self):
         expected = pd.Series({"name": 2})
         tm.assert_series_equal(result, expected)
 
-        # Check if name is preserved when aggregating series instead
+        # Check if name is still preserved when aggregating series instead
         result = df["name"].agg({"name": "count"})
         expected = pd.Series({"name": 2}, name="name")
         tm.assert_series_equal(result, expected)