@@ -2664,18 +2664,21 @@ def test_pivot_columns_not_given(self):
26642664 with pytest .raises (TypeError , match = "missing 1 required keyword-only argument" ):
26652665 df .pivot ()
26662666
2667- @pytest .mark .xfail (
2668- using_string_dtype (), reason = "TODO(infer_string) None is cast to NaN"
2669- )
26702667 def test_pivot_columns_is_none (self ):
26712668 # GH#48293
2672- df = DataFrame ({ None : [ 1 ], "b" : 2 , "c" : 3 } )
2669+ df = DataFrame ([[ 1 , 2 , 3 ]], columns = Index ([ None , "b" , "c" ], dtype = "object" ) )
26732670 result = df .pivot (columns = None )
26742671 expected = DataFrame ({("b" , 1 ): [2 ], ("c" , 1 ): 3 })
2672+ expected .columns = expected .columns .set_levels (
2673+ expected .columns .levels [0 ].astype (object ), level = 0
2674+ )
26752675 tm .assert_frame_equal (result , expected )
26762676
26772677 result = df .pivot (columns = None , index = "b" )
26782678 expected = DataFrame ({("c" , 1 ): 3 }, index = Index ([2 ], name = "b" ))
2679+ expected .columns = expected .columns .set_levels (
2680+ expected .columns .levels [0 ].astype (object ), level = 0
2681+ )
26792682 tm .assert_frame_equal (result , expected )
26802683
26812684 result = df .pivot (columns = None , index = "b" , values = "c" )
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