add issue number, construct correct frame and compare with assert_frame_equal

Author: cmeeren

pandas/io/tests/test_date_converters.py

@@ -11,7 +11,7 @@
 import numpy as np
 from numpy.testing.decorators import slow
 
-from pandas import DataFrame, Series, Index, isnull
+from pandas import DataFrame, Series, Index, MultiIndex, isnull
 import pandas.io.parsers as parsers
 from pandas.io.parsers import (read_csv, read_table, read_fwf,
                                TextParser)
@@ -120,22 +120,30 @@ def test_generic(self):
         self.assertEqual(df.ym.ix[0], date(2001, 1, 1))
 
     def test_dateparser_resolution_if_not_ns(self):
+        # issue 10245
         data = """\
-week,sow,prn,rxstatus
-        2013-11-03,19:00:00,126,00E80000
-        2013-11-03,19:00:00,23,00E80000
-        2013-11-03,19:00:00,13,00E80000
+date,time,prn,rxstatus
+2013-11-03,19:00:00,126,00E80000
+2013-11-03,19:00:00,23,00E80000
+2013-11-03,19:00:00,13,00E80000
 """
 
         def date_parser(date, time):
             datetime = np.array(date + 'T' + time + 'Z', dtype='datetime64[s]')
             return datetime
 
         df = read_csv(StringIO(data), date_parser=date_parser,
-                      parse_dates={'datetime': ['week', 'sow']},
+                      parse_dates={'datetime': ['date', 'time']},
                       index_col=['datetime', 'prn'])
 
-        self.assertEqual(df.index[0][0], datetime(2013, 11, 3, 19))
+        datetimes = np.array(['2013-11-03T19:00:00Z']*3, dtype='datetime64[s]')
+        df_correct = DataFrame(data={'rxstatus': ['00E80000']*3},
+                               index=MultiIndex.from_tuples(
+                                   [(datetimes[0], 126),
+                                    (datetimes[1], 23),
+                                    (datetimes[2], 13)],
+                               names=['datetime', 'prn']))
+        assert_frame_equal(df, df_correct)
 
 if __name__ == '__main__':
     import nose