Reformat to comply with PEP8

Author: leonarduschen

pandas/core/base.py

@@ -19,6 +19,7 @@
     is_categorical_dtype,
     is_dict_like,
     is_extension_array_dtype,
+    is_hashable,
     is_list_like,
     is_object_dtype,
     is_scalar,
@@ -472,7 +473,7 @@ def is_any_frame() -> bool:
             except ValueError:
 
                 # we have a dict of scalars
-                
+
                 name = getattr(self, "name", None)
                 name = name if is_hashable(name) else None
                 # GH#36212

pandas/tests/frame/apply/test_frame_apply.py

@@ -1132,21 +1132,20 @@ def test_demo(self):
         tm.assert_frame_equal(result.reindex_like(expected), expected)
 
     def test_agg_with_unhashable_name_column_value(self):
-        #GH 36212 - Column name is "name"
-        data = {'name': ['foo', 'bar']}
+        # GH 36212 - Column name is "name"
+        data = {"name": ["foo", "bar"]}
         df = pd.DataFrame(data)
 
-        #result's name should be None
-        result = df.agg({'name': 'count'})
-        expected = pd.Series({'name':2})
+        # result's name should be None
+        result = df.agg({"name": "count"})
+        expected = pd.Series({"name": 2})
         tm.assert_series_equal(result, expected)
 
-        #Check if name is preserved when aggregating series instead
-        result = df['name'].agg({'name':'count'})
-        expected = pd.Series({'name':2}, name='name')
+        # Check if name is preserved when aggregating series instead
+        result = df["name"].agg({"name": "count"})
+        expected = pd.Series({"name": 2}, name="name")
         tm.assert_series_equal(result, expected)
 
-
     def test_agg_multiple_mixed_no_warning(self):
         # GH 20909
         mdf = pd.DataFrame(