@@ -45,14 +45,8 @@ def test_columntransformer_standalone_fit_and_transform(
4545 )
4646 result = transformer .transform (new_penguins_df ).to_pandas ()
4747
48- # TODO: bug? feature columns seem to be in nondeterministic random order
49- # workaround: sort columns by name. Can't repro it in pantheon, so could
50- # be a bigframes issue...
51- result = result .reindex (sorted (result .columns ), axis = 1 )
52-
5348 expected = pandas .DataFrame (
5449 {
55- "min_max_scaled_culmen_length_mm" : [0.269 , 0.232 , 0.210 ],
5650 "onehotencoded_species" : [
5751 [{"index" : 1 , "value" : 1.0 }],
5852 [{"index" : 1 , "value" : 1.0 }],
@@ -63,6 +57,7 @@ def test_columntransformer_standalone_fit_and_transform(
6357 - 0.9945520581113803 ,
6458 - 1.104611490204711 ,
6559 ],
60+ "min_max_scaled_culmen_length_mm" : [0.269 , 0.232 , 0.210 ],
6661 "standard_scaled_flipper_length_mm" : [- 0.350044 , - 1.418336 , - 0.9198 ],
6762 },
6863 index = pandas .Index ([1633 , 1672 , 1690 ], dtype = "Int64" , name = "tag_number" ),
@@ -91,11 +86,6 @@ def test_columntransformer_standalone_fit_transform(new_penguins_df):
9186 new_penguins_df [["species" , "culmen_length_mm" , "flipper_length_mm" ]]
9287 ).to_pandas ()
9388
94- # TODO: bug? feature columns seem to be in nondeterministic random order
95- # workaround: sort columns by name. Can't repro it in pantheon, so could
96- # be a bigframes issue...
97- result = result .reindex (sorted (result .columns ), axis = 1 )
98-
9989 expected = pandas .DataFrame (
10090 {
10191 "onehotencoded_species" : [
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