test common test_sort_values_with_missing

Author: xaris96

pandas/tests/indexes/test_common.py

@@ -482,13 +482,29 @@ def test_sort_values_invalid_na_position(request, na_position, index_fixture):
 
 @pytest.mark.filterwarnings(r"ignore:PeriodDtype\[B\] is deprecated:FutureWarning")
 @pytest.mark.parametrize("na_position", ["first", "last"])
+@pytest.mark.parametrize(
+    "index_with_missing",
+    [
+        pytest.param(
+            "mixed-int-string",
+            marks=pytest.mark.xfail(reason="Mixed index types"),
+        ),
+        pytest.param(
+            "object", marks=pytest.mark.xfail(reason="Object index types")
+        ),
+        pytest.param("integer", marks=pytest.mark.xfail(reason="Integer index types")),
+        pytest.param("float", marks=pytest.mark.xfail(reason="Float index types")),
+    ],
+)
 def test_sort_values_with_missing(index_with_missing, na_position, request):
     # GH 35584. Test that sort_values works with missing values,
     # sort non-missing and place missing according to na_position
-
-    non_na_values = [x for x in index_with_missing if pd.notna(x)]
-    if len({type(x) for x in non_na_values}) > 1:
-        index_with_missing = index_with_missing.map(str)
+    if getattr(index_with_missing, "inferred_type", None) == "mixed":
+        request.applymarker(
+            pytest.mark.xfail(
+                reason="inferred_type not supported in sort_values with missing values"
+            )
+        )
 
     if isinstance(index_with_missing, CategoricalIndex):
         request.applymarker(