diff --git a/pandas/tests/groupby/test_timegrouper.py b/pandas/tests/groupby/test_timegrouper.py
index 84fd7a1bdfb05..4ccbc6a65fd88 100644
--- a/pandas/tests/groupby/test_timegrouper.py
+++ b/pandas/tests/groupby/test_timegrouper.py
@@ -780,6 +780,6 @@ def test_grouper_period_index(self):
         result = period_series.groupby(period_series.index.month).sum()
 
         expected = pd.Series(
-            range(0, periods), index=Index(range(1, periods + 1), name=index.name),
+            range(0, periods), index=Index(range(1, periods + 1), name=index.name)
         )
         tm.assert_series_equal(result, expected)
diff --git a/pandas/tests/groupby/transform/test_numba.py b/pandas/tests/groupby/transform/test_numba.py
index ee482571e644d..87723cd7c8f50 100644
--- a/pandas/tests/groupby/transform/test_numba.py
+++ b/pandas/tests/groupby/transform/test_numba.py
@@ -56,7 +56,7 @@ def func(values, index):
         func = numba.jit(func)
 
     data = DataFrame(
-        {0: ["a", "a", "b", "b", "a"], 1: [1.0, 2.0, 3.0, 4.0, 5.0]}, columns=[0, 1],
+        {0: ["a", "a", "b", "b", "a"], 1: [1.0, 2.0, 3.0, 4.0, 5.0]}, columns=[0, 1]
     )
     engine_kwargs = {"nogil": nogil, "parallel": parallel, "nopython": nopython}
     grouped = data.groupby(0)
@@ -89,7 +89,7 @@ def func_2(values, index):
         func_2 = numba.jit(func_2)
 
     data = DataFrame(
-        {0: ["a", "a", "b", "b", "a"], 1: [1.0, 2.0, 3.0, 4.0, 5.0]}, columns=[0, 1],
+        {0: ["a", "a", "b", "b", "a"], 1: [1.0, 2.0, 3.0, 4.0, 5.0]}, columns=[0, 1]
     )
     engine_kwargs = {"nogil": nogil, "parallel": parallel, "nopython": nopython}
     grouped = data.groupby(0)
@@ -120,7 +120,7 @@ def func_1(values, index):
         return values + 1
 
     data = DataFrame(
-        {0: ["a", "a", "b", "b", "a"], 1: [1.0, 2.0, 3.0, 4.0, 5.0]}, columns=[0, 1],
+        {0: ["a", "a", "b", "b", "a"], 1: [1.0, 2.0, 3.0, 4.0, 5.0]}, columns=[0, 1]
     )
     grouped = data.groupby(0)
     expected = grouped.transform(func_1, engine="numba")