COMPAT: windows test dtype adjustments

Author: jreback

pandas/tests/test_frame.py

@@ -11860,7 +11860,7 @@ def test_mode(self):
         df = pd.DataFrame({"A": [12, 12, 11, 12, 19, 11],
                            "B": [10, 10, 10, np.nan, 3, 4],
                            "C": [8, 8, 8, 9, 9, 9],
-                           "D": range(6),
+                           "D": np.arange(6,dtype='int64'),
                            "E": [8, 8, 1, 1, 3, 3]})
         assert_frame_equal(df[["A"]].mode(),
                            pd.DataFrame({"A": [12]}))
@@ -11889,7 +11889,7 @@ def test_mode(self):
         com.pprint_thing(b)
         assert_frame_equal(a, b)
         # should work with heterogeneous types
-        df = pd.DataFrame({"A": range(6),
+        df = pd.DataFrame({"A": np.arange(6,dtype='int64'),
                            "B": pd.date_range('2011', periods=6),
                            "C": list('abcdef')})
         exp = pd.DataFrame({"A": pd.Series([], dtype=df["A"].dtype),

pandas/tests/test_indexing.py

@@ -4448,7 +4448,7 @@ def test_indexing_dtypes_on_empty(self):
         df = DataFrame({'a':[1,2,3],'b':['b','b2','b3']})
         df2 = df.ix[[],:]
 
-        self.assertEqual(df2.loc[:,'a'].dtype, int)
+        self.assertEqual(df2.loc[:,'a'].dtype, np.int64)
         assert_series_equal(df2.loc[:,'a'], df2.iloc[:,0])
         assert_series_equal(df2.loc[:,'a'], df2.ix[:,0])