TST: tighten assert_index_equal calls

pandas/tests/frame/methods/test_reset_index.py

@@ -130,7 +130,7 @@ def test_reset_index(self, float_frame):
         float_frame.index.name = "index"
         deleveled = float_frame.reset_index()
         tm.assert_series_equal(deleveled["index"], Series(float_frame.index))
-        tm.assert_index_equal(deleveled.index, Index(np.arange(len(deleveled))))
+        tm.assert_index_equal(deleveled.index, Index(range(len(deleveled))), exact=True)
 
         # preserve column names
         float_frame.columns.name = "columns"

pandas/tests/frame/test_constructors.py

@@ -352,7 +352,7 @@ def test_constructor_dict(self):
 
         # with dict of empty list and Series
         frame = DataFrame({"A": [], "B": []}, columns=["A", "B"])
-        tm.assert_index_equal(frame.index, Index([], dtype=np.int64))
+        tm.assert_index_equal(frame.index, RangeIndex(0), exact=True)
 
         # GH 14381
         # Dict with None value
@@ -802,14 +802,14 @@ def _check_basic_constructor(self, empty):
 
         # automatic labeling
         frame = DataFrame(mat)
-        tm.assert_index_equal(frame.index, pd.Int64Index(range(2)))
-        tm.assert_index_equal(frame.columns, pd.Int64Index(range(3)))
+        tm.assert_index_equal(frame.index, Index(range(2)), exact=True)
+        tm.assert_index_equal(frame.columns, Index(range(3)), exact=True)
 
         frame = DataFrame(mat, index=[1, 2])
-        tm.assert_index_equal(frame.columns, pd.Int64Index(range(3)))
+        tm.assert_index_equal(frame.columns, Index(range(3)), exact=True)
 
         frame = DataFrame(mat, columns=["A", "B", "C"])
-        tm.assert_index_equal(frame.index, pd.Int64Index(range(2)))
+        tm.assert_index_equal(frame.index, Index(range(2)), exact=True)
 
         # 0-length axis
         frame = DataFrame(empty((0, 3)))

pandas/tests/indexes/common.py

@@ -529,6 +529,7 @@ def test_equals_op(self):
             # assuming the 2nd to last item is unique in the data
             item = index_a[-2]
             tm.assert_numpy_array_equal(index_a == item, expected3)
+            # For RangeIndex we can convert to Int64Index
             tm.assert_series_equal(series_a == item, Series(expected3))
 
     def test_format(self):
@@ -656,6 +657,7 @@ def test_map(self):
             expected = index
 
         result = index.map(lambda x: x)
+        # For RangeIndex we convert to Int64Index
         tm.assert_index_equal(result, expected)
 
     @pytest.mark.parametrize(
@@ -680,6 +682,7 @@ def test_map_dictlike(self, mapper):
             expected = index
 
         result = index.map(identity)
+        # For RangeIndex we convert to Int64Index
         tm.assert_index_equal(result, expected)
 
         # empty mappable

pandas/tests/indexes/test_setops.py

@@ -385,8 +385,8 @@ def test_difference_preserves_type_empty(self, index, sort):
         if not index.is_unique:
             return
         result = index.difference(index, sort=sort)
-        expected = index.drop(index)
-        tm.assert_index_equal(result, expected)
+        expected = index[:0]
+        tm.assert_index_equal(result, expected, exact=True)
 
     def test_intersection_difference_match_empty(self, index, sort):
         # GH#20040
@@ -395,6 +395,6 @@ def test_intersection_difference_match_empty(self, index, sort):
         # of an index with itself.  Test for all types
         if not index.is_unique:
             return
-        inter = index.intersection(index.drop(index))
+        inter = index.intersection(index[:0])
         diff = index.difference(index, sort=sort)
-        tm.assert_index_equal(inter, diff)
+        tm.assert_index_equal(inter, diff, exact=True)

pandas/tests/reshape/concat/test_series.py

@@ -106,9 +106,9 @@ def test_concat_series_axis1_same_names_ignore_index(self):
         s2 = Series(np.random.randn(len(dates)), index=dates, name="value")
 
         result = concat([s1, s2], axis=1, ignore_index=True)
-        expected = Index([0, 1])
+        expected = Index(range(2))
 
-        tm.assert_index_equal(result.columns, expected)
+        tm.assert_index_equal(result.columns, expected, exact=True)
 
     @pytest.mark.parametrize(
         "s1name,s2name", [(np.int64(190), (43, 0)), (190, (43, 0))]

pandas/tests/reshape/merge/test_join.py

@@ -504,7 +504,7 @@ def test_join_sort(self):
 
         # smoke test
         joined = left.join(right, on="key", sort=False)
-        tm.assert_index_equal(joined.index, Index(list(range(4))))
+        tm.assert_index_equal(joined.index, Index(range(4)), exact=True)
 
     def test_join_mixed_non_unique_index(self):
         # GH 12814, unorderable types in py3 with a non-unique index

pandas/tests/series/test_constructors.py

@@ -556,7 +556,7 @@ def test_series_ctor_plus_datetimeindex(self):
 
     def test_constructor_default_index(self):
         s = Series([0, 1, 2])
-        tm.assert_index_equal(s.index, Index(np.arange(3)))
+        tm.assert_index_equal(s.index, Index(range(3)), exact=True)
 
     @pytest.mark.parametrize(
         "input",