cleanup

Author: rhshadrach

pandas/tests/groupby/methods/test_quantile.py

@@ -192,7 +192,12 @@ def test_quantile_missing_group_values_no_segfaults():
         ([1.0, np.nan, 2.0, 2.0], range(4), [1.0, 2.0], [0.0, 2.5]),
         (["a", "b", "b", np.nan], range(4), ["a", "b"], [0, 1.5]),
         ([0], [42], [0], [42.0]),
-        ([], np.array([], dtype="float64"), [], np.array([], dtype="float64")),
+        (
+            np.array([], dtype="float64"),
+            np.array([], dtype="float64"),
+            np.array([], dtype="float64"),
+            np.array([], dtype="float64"),
+        ),
     ],
 )
 def test_quantile_missing_group_values_correct_results(

pandas/tests/groupby/test_grouping.py

@@ -737,18 +737,9 @@ def test_list_grouper_with_nat(self):
     @pytest.mark.parametrize(
         "func,expected",
         [
-            (
-                "transform",
-                Series(name=2),
-            ),
-            (
-                "agg",
-                Series(name=2, index=Index([], name=1)),
-            ),
-            (
-                "apply",
-                Series(name=2, index=Index([], name=1)),
-            ),
+            ("transform", Series(name=2)),
+            ("agg", Series(name=2, index=Index([], name=1))),
+            ("apply", Series(name=2, index=Index([], name=1))),
         ],
     )
     def test_evaluate_with_empty_groups(self, func, expected):