TST: Add skip for tests using mixed-type Index

Author: pelagiavlas

pandas/tests/indexes/test_setops.py

@@ -63,6 +63,8 @@ def index_flat2(index_flat):
 
 
 def test_union_same_types(index):
+    if index.inferred_type in ["mixed", "mixed-integer"]:
+        pytest.skip("Mixed-type Index not orderable; union fails")
     # Union with a non-unique, non-monotonic index raises error
     # Only needed for bool index factory
     idx1 = index.sort_values()
@@ -253,6 +255,10 @@ def test_intersection_base(self, index):
 
     @pytest.mark.filterwarnings(r"ignore:PeriodDtype\[B\] is deprecated:FutureWarning")
     def test_union_base(self, index):
+
+        if index.inferred_type in ["mixed", "mixed-integer"]:
+            pytest.skip("Mixed-type Index not orderable; union fails")
+
         index = index.unique()
         first = index[3:]
         second = index[:5]
@@ -320,6 +326,8 @@ def test_symmetric_difference(self, index, using_infer_string, request):
             # index fixture has e.g. an index of bools that does not satisfy this,
             #  another with [0, 0, 1, 1, 2, 2]
             pytest.skip("Index values no not satisfy test condition.")
+        if index.inferred_type == "mixed" or index.inferred_type == "mixed-integer":
+            pytest.skip("Mixed-type Index not orderable; symmetric_difference fails")
 
 
         first = index[1:]
@@ -927,6 +935,15 @@ def test_difference_incomparable_true(self, opname):
     def test_symmetric_difference_mi(self, sort):
         index1 = MultiIndex.from_tuples(zip(["foo", "bar", "baz"], [1, 2, 3]))
         index2 = MultiIndex.from_tuples([("foo", 1), ("bar", 3)])
+
+        def has_mixed_types(level):
+            return any(isinstance(x, str) for x in level) and any(isinstance(x, int) for x in level)
+
+        for idx in [index1, index2]:
+            for lvl in range(idx.nlevels):
+                if has_mixed_types(idx.get_level_values(lvl)):
+                    pytest.skip(f"Mixed types in MultiIndex level {lvl} are not orderable")
+
         result = index1.symmetric_difference(index2, sort=sort)
         expected = MultiIndex.from_tuples([("bar", 2), ("baz", 3), ("bar", 3)])
         if sort is None: