BUG: GH25871 -- fix PEP 8 issues on test source

2nd shot...

Author: kpflugshaupt

pandas/tests/groupby/test_categorical.py

@@ -458,18 +458,18 @@ def test_dataframe_categorical_with_nan(observed):
 @pytest.mark.parametrize("sort", [True, False])
 def test_dataframe_categorical_ordered_observed_sort(ordered, observed, sort):
     # GH 25871: Fix groupby sorting on ordered Categoricals
-    # Build a dataframe with a Categorical having one unobserved category ('AWOL'), 
+    # Build a dataframe with cat having one unobserved category ('AWOL'),
     # and a Series with identical values
-    cat = pd.Categorical(['d', 'a', 'b', 'a', 'd', 'b'], 
-                         categories=['a', 'b', 'AWOL', 'd'], 
+    cat = pd.Categorical(['d', 'a', 'b', 'a', 'd', 'b'],
+                         categories=['a', 'b', 'AWOL', 'd'],
                          ordered=ordered)
     val = pd.Series(['d', 'a', 'b', 'a', 'd', 'b'])
     df = pd.DataFrame({'cat': cat, 'val': val})
 
     # aggregate on the Categorical
     result = (df.groupby('cat', observed=observed, sort=sort)['val']
                 .aggregate('first'))
-    
+
     # If ordering works, we expect index labels equal to aggregation results,
     # except for 'observed=False': index contains 'AWOL' and aggregation None
     label = pd.Series(result.index.array, dtype='object')