77from pandas .core .api import Series , Categorical , CategoricalIndex
88import pandas as pd
99
10+ from pandas import compat
1011import pandas .core .algorithms as algos
1112import pandas .util .testing as tm
1213import pandas .hashtable as hashtable
@@ -405,7 +406,6 @@ def test_dropna(self):
405406 tm .assert_series_equal (
406407 pd .Series ([True , True , False , None ]).value_counts (dropna = False ),
407408 pd .Series ([2 , 1 , 1 ], index = [True , False , np .nan ]))
408-
409409 tm .assert_series_equal (
410410 pd .Series ([10.3 , 5. , 5. ]).value_counts (dropna = True ),
411411 pd .Series ([2 , 1 ], index = [5. , 10.3 ]))
@@ -416,9 +416,12 @@ def test_dropna(self):
416416 tm .assert_series_equal (
417417 pd .Series ([10.3 , 5. , 5. , None ]).value_counts (dropna = True ),
418418 pd .Series ([2 , 1 ], index = [5. , 10.3 ]))
419- tm .assert_series_equal (
420- pd .Series ([10.3 , 5. , 5. , None ]).value_counts (dropna = False ),
421- pd .Series ([2 , 1 , 1 ], index = [5. , 10.3 , np .nan ]))
419+
420+ # 32-bit linux has a different ordering
421+ if not compat .is_platform_32bit ():
422+ tm .assert_series_equal (
423+ pd .Series ([10.3 , 5. , 5. , None ]).value_counts (dropna = False ),
424+ pd .Series ([2 , 1 , 1 ], index = [5. , 10.3 , np .nan ]))
422425
423426
424427class GroupVarTestMixin (object ):
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