@@ -464,7 +464,9 @@ def test_sort_values_invalid_na_position(
464464 reason = "Sorting fails due to heterogeneous types in index (int vs str)" ,
465465 strict = False ,
466466)
467- def test_sort_values_with_missing (index_with_missing , na_position , request , box_in_series ):
467+ def test_sort_values_with_missing (
468+ index_with_missing , na_position , request , box_in_series
469+ ):
468470 # GH 35584. Test that sort_values works with missing values,
469471 # sort non-missing and place missing according to na_position
470472
@@ -489,7 +491,6 @@ def test_sort_values_with_missing(index_with_missing, na_position, request, box_
489491 else :
490492 not_na_vals = index_with_missing [index_with_missing .notna ()].values
491493
492-
493494 sorted_values = np .sort (not_na_vals )
494495 if na_position == "first" :
495496 sorted_values = np .concatenate ([[None ] * missing_count , sorted_values ])
@@ -500,7 +501,9 @@ def test_sort_values_with_missing(index_with_missing, na_position, request, box_
500501 if isinstance (index_with_missing , pd .Series ):
501502 expected = pd .Series (sorted_values , dtype = index_with_missing .dtype )
502503 else :
503- expected = type (index_with_missing )(sorted_values , dtype = index_with_missing .dtype )
504+ expected = type (index_with_missing )(
505+ sorted_values , dtype = index_with_missing .dtype
506+ )
504507
505508 result = index_with_missing .sort_values (na_position = na_position )
506509 if isinstance (index_with_missing , pd .Series ):
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