TST: windows dtype fix related GH3950

Author: jreback

pandas/tests/test_groupby.py

@@ -2905,7 +2905,9 @@ def test_groupby_groups_datetimeindex_tz(self):
  dates = ['2011-07-19 07:00:00', '2011-07-19 08:00:00', '2011-07-19 09:00:00',
  '2011-07-19 07:00:00', '2011-07-19 08:00:00', '2011-07-19 09:00:00']
  df = DataFrame({'label': ['a', 'a', 'a', 'b', 'b', 'b'],
- 'datetime': dates, 'value1': range(6), 'value2': [1, 2] * 3})
+ 'datetime': dates, 
+ 'value1': np.arange(6,dtype='int64'), 
+ 'value2': [1, 2] * 3})
  df['datetime'] = df['datetime'].apply(lambda d: Timestamp(d, tz='US/Pacific'))
 
  exp_idx1 = pd.DatetimeIndex(['2011-07-19 07:00:00', '2011-07-19 07:00:00',
@@ -2922,7 +2924,9 @@ def test_groupby_groups_datetimeindex_tz(self):
 
  # by level
  didx = pd.DatetimeIndex(dates, tz='Asia/Tokyo')
- df = DataFrame({'value1': range(6), 'value2': [1, 2, 3, 1, 2, 3]}, index=didx)
+ df = DataFrame({'value1': np.arange(6,dtype='int64'), 
+ 'value2': [1, 2, 3, 1, 2, 3]}, 
+ index=didx)
 
  exp_idx = pd.DatetimeIndex(['2011-07-19 07:00:00', '2011-07-19 08:00:00',
  '2011-07-19 09:00:00'], tz='Asia/Tokyo')