Moved test case into proper file

Author: captainsafia

pandas/tests/test_tseries.py

@@ -423,15 +423,6 @@ def test_series_bin_grouper():
     exp_counts = np.array([3, 3, 4], dtype=np.int64)
     assert_almost_equal(counts, exp_counts)
 
-def test_resample_with_timedeltaindex():
-    from pandas import DataFrame
-    from pandas import timedelta_range
-
-    df = DataFrame(np.random.normal(size = (100, 4)))
-    df.index = timedelta_range(start='0s', periods=100, freq='s')
-    resample = df.resample('10s', base = 5)
-    assert_almost_equal(resample.index[0].seconds, 5)
-
 class TestBinGroupers(tm.TestCase):
     _multiprocess_can_split_ = True
 

pandas/tseries/tests/test_resample.py

@@ -11,6 +11,7 @@
 
 from pandas.core.groupby import DataError
 from pandas.tseries.index import date_range
+from pandas.tseries.tdi import timedelta_range
 from pandas.tseries.offsets import Minute, BDay
 from pandas.tseries.period import period_range, PeriodIndex, Period
 from pandas.tseries.resample import DatetimeIndex, TimeGrouper
@@ -625,8 +626,22 @@ def test_resample_base(self):
         resampled = ts.resample('5min', base=2)
         exp_rng = date_range('12/31/1999 23:57:00', '1/1/2000 01:57',
                              freq='5min')
+
         self.assertTrue(resampled.index.equals(exp_rng))
 
+    def test_resample_base_with_timedeltaindex(self):
+        rng = timedelta_range(start = '0s', periods = 25, freq = 's')
+        ts = Series(np.random.randn(len(rng)), index = rng)
+        
+        with_base = ts.resample('10s', base = 5)
+        without_base = ts.resample('10s')
+
+        exp_without_base = timedelta_range(start = '5s', end = '25s', freq = '10s')
+        exp_with_base = timedelta_range(start = '5s', end = '25s', freq = '10s')
+
+        self.assertTrue(with_base.index.equals(exp_with_base))
+        self.assertTrue(without_base.index.equal(exp_without_base))
+
     def test_resample_daily_anchored(self):
         rng = date_range('1/1/2000 0:00:00', periods=10000, freq='T')
         ts = Series(np.random.randn(len(rng)), index=rng)