Comma cleanup for pandas-dev#35925 (pandas-dev#36023)

Author: JonathanShrek

pandas/tests/frame/test_analytics.py

@@ -86,11 +86,7 @@ def wrapper(x):
         result0 = f(axis=0, skipna=False)
         result1 = f(axis=1, skipna=False)
         tm.assert_series_equal(
-            result0,
-            frame.apply(wrapper),
-            check_dtype=check_dtype,
-            rtol=rtol,
-            atol=atol,
+            result0, frame.apply(wrapper), check_dtype=check_dtype, rtol=rtol, atol=atol
         )
         # HACK: win32
         tm.assert_series_equal(
@@ -116,7 +112,7 @@ def wrapper(x):
     if opname in ["sum", "prod"]:
         expected = frame.apply(skipna_wrapper, axis=1)
         tm.assert_series_equal(
-            result1, expected, check_dtype=False, rtol=rtol, atol=atol,
+            result1, expected, check_dtype=False, rtol=rtol, atol=atol
         )
 
     # check dtypes

pandas/tests/frame/test_constructors.py

@@ -932,7 +932,7 @@ def test_constructor_mrecarray(self):
         # from GH3479
 
         assert_fr_equal = functools.partial(
-            tm.assert_frame_equal, check_index_type=True, check_column_type=True,
+            tm.assert_frame_equal, check_index_type=True, check_column_type=True
         )
         arrays = [
             ("float", np.array([1.5, 2.0])),

pandas/tests/frame/test_reshape.py

@@ -417,7 +417,7 @@ def test_unstack_mixed_type_name_in_multiindex(
         result = df.unstack(unstack_idx)
 
         expected = pd.DataFrame(
-            expected_values, columns=expected_columns, index=expected_index,
+            expected_values, columns=expected_columns, index=expected_index
         )
         tm.assert_frame_equal(result, expected)
 
@@ -807,7 +807,7 @@ def test_unstack_multi_level_cols(self):
                 [["B", "C"], ["B", "D"]], names=["c1", "c2"]
             ),
             index=pd.MultiIndex.from_tuples(
-                [[10, 20, 30], [10, 20, 40]], names=["i1", "i2", "i3"],
+                [[10, 20, 30], [10, 20, 40]], names=["i1", "i2", "i3"]
             ),
         )
         assert df.unstack(["i2", "i1"]).columns.names[-2:] == ["i2", "i1"]