diff --git a/pandas/tseries/index.py b/pandas/tseries/index.py
index 07dadc66cbc33..adc3fa96b1224 100644
--- a/pandas/tseries/index.py
+++ b/pandas/tseries/index.py
@@ -560,6 +560,9 @@ def __contains__(self, key):
         except (KeyError, TypeError):
             return False
 
+    def unique(self):
+        return self.asobject.unique()
+
     def isin(self, values):
         """
         Compute boolean array of whether each index value is found in the
diff --git a/pandas/tseries/tests/test_timeseries.py b/pandas/tseries/tests/test_timeseries.py
index 855bbd02489bb..4f1e93beef5f6 100644
--- a/pandas/tseries/tests/test_timeseries.py
+++ b/pandas/tseries/tests/test_timeseries.py
@@ -61,7 +61,8 @@ def test_is_unique_monotonic(self):
 
     def test_index_unique(self):
         uniques = self.dups.index.unique()
-        self.assert_(uniques.dtype == 'M8[ns]') # sanity
+        #self.assert_(uniques.dtype == 'M8[ns]') # sanity
+        self.assert_(isinstance(uniques[0], tslib.Timestamp))
 
     def test_index_dupes_contains(self):
         d = datetime(2011, 12, 5, 20, 30)