Adjust more tests

Author: mroeschke

pandas/tests/extension/base/setitem.py

@@ -358,7 +358,7 @@ def test_setitem_preserves_views(self, data):
 
     def test_setitem_with_expansion_dataframe_column(self, data, full_indexer):
         # https://github.com/pandas-dev/pandas/issues/32395
-        df = expected = pd.DataFrame({0: pd.Series(data)})
+        df = expected = pd.DataFrame(pd.Series(data))
         result = pd.DataFrame(index=df.index)
 
         key = full_indexer(df)

pandas/tests/frame/test_stack_unstack.py

@@ -2506,7 +2506,7 @@ def test_multi_level_stack_categorical(self, future_stack):
                     ]
                 ),
             )
-        tm.assert_frame_equal(result, expected)
+        tm.assert_frame_equal(result, expected, check_index_type=False)
 
     @pytest.mark.filterwarnings(
         "ignore:The previous implementation of stack is deprecated"
@@ -2643,7 +2643,7 @@ def test_stack_tuple_columns(future_stack):
     expected = Series(
         [1, 2, 3, 4, 5, 6, 7, 8, 9],
         index=MultiIndex(
-            levels=[[0, 1, 2], [("a", 1), ("a", 2), ("b", 1)]],
+            levels=[range(3), [("a", 1), ("a", 2), ("b", 1)]],
             codes=[[0, 0, 0, 1, 1, 1, 2, 2, 2], [0, 1, 2, 0, 1, 2, 0, 1, 2]],
         ),
     )

pandas/tests/indexes/datetimes/methods/test_to_series.py

@@ -13,6 +13,6 @@ def test_to_series(self):
         idx = naive.tz_localize("US/Pacific")
 
         expected = Series(np.array(idx.tolist(), dtype="object"), name="B")
-        result = idx.to_series(index=[0, 1])
+        result = idx.to_series(index=range(2))
         assert expected.dtype == idx.dtype
         tm.assert_series_equal(result, expected)

pandas/tests/indexes/timedeltas/test_timedelta.py

@@ -51,9 +51,9 @@ def test_fields(self):
         s = Series(rng)
         s[1] = np.nan
 
-        tm.assert_series_equal(s.dt.days, Series([1, np.nan], index=[0, 1]))
+        tm.assert_series_equal(s.dt.days, Series([1, np.nan], index=range(2)))
         tm.assert_series_equal(
-            s.dt.seconds, Series([10 * 3600 + 11 * 60 + 12, np.nan], index=[0, 1])
+            s.dt.seconds, Series([10 * 3600 + 11 * 60 + 12, np.nan], index=range(2))
         )
 
         # preserve name (GH15589)