mark x fail and some tests fixed

Author: xaris96

pandas/tests/indexes/test_common.py

@@ -440,16 +440,12 @@ def test_hasnans_isnans(self, index_flat):
 @pytest.mark.filterwarnings(r"ignore:PeriodDtype\[B\] is deprecated:FutureWarning")
 @pytest.mark.parametrize("na_position", [None, "middle"])
 def test_sort_values_invalid_na_position(index_with_missing, 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:
-        pytest.mark.xfail(
-            reason="Sorting fails due to heterogeneous types in index (int vs str)"
-        )
+    if len({type(x) for x in index_with_missing if pd.notna(x)}) > 1:
+        index_with_missing = index_with_missing.map(str)
 
     with pytest.raises(ValueError, match=f"invalid na_position: {na_position}"):
         index_with_missing.sort_values(na_position=na_position)
 
-
 @pytest.mark.filterwarnings(r"ignore:PeriodDtype\[B\] is deprecated:FutureWarning")
 @pytest.mark.parametrize("na_position", ["first", "last"])
 def test_sort_values_with_missing(index_with_missing, na_position, request):
@@ -458,9 +454,7 @@ def test_sort_values_with_missing(index_with_missing, na_position, request):
 
     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:
-        pytest.mark.xfail(
-            reason="Sorting fails due to heterogeneous types in index (int vs str)"
-        )
+        index_with_missing = index_with_missing.map(str)
 
     if isinstance(index_with_missing, CategoricalIndex):
         request.applymarker(
@@ -482,8 +476,7 @@ def test_sort_values_with_missing(index_with_missing, na_position, request):
 
     result = index_with_missing.sort_values(na_position=na_position)
     tm.assert_index_equal(result, expected)
-
-
+    
 def test_sort_values_natsort_key():
     # GH#56081
     def split_convert(s):