BUG: work around another NumPy 1.6 concatenate bug with datetime64, close #1745

Author: wesm

RELEASE.rst

@@ -38,7 +38,7 @@ pandas 0.8.2
 
 **Bug fixes**
 
-  - Fix critical DatetimeIndex.union bug (#1730, #1719)
+  - Fix critical DatetimeIndex.union bugs (#1730, #1719, #1745)
   - Fix MM-YYYY time series indexing case (#1672)
   - Fix case where Categorical group key was not being passed into index in
     GroupBy result (#1701)

pandas/core/index.py

@@ -538,7 +538,7 @@ def union(self, other):
 
             if len(indexer) > 0:
                 other_diff = ndtake(other.values, indexer)
-                result = np.concatenate((self.values, other_diff))
+                result = com._concat_compat((self.values, other_diff))
                 try:
                     result.sort()
                 except Exception:

pandas/tseries/tests/test_timeseries.py

@@ -1169,6 +1169,16 @@ def test_union_bug_1730(self):
         exp = DatetimeIndex(sorted(set(list(rng_a)) | set(list(rng_b))))
         self.assert_(result.equals(exp))
 
+    def test_union_bug_1745(self):
+        left = DatetimeIndex(['2012-05-11 15:19:49.695000'])
+        right = DatetimeIndex(['2012-05-29 13:04:21.322000',
+                               '2012-05-11 15:27:24.873000',
+                               '2012-05-11 15:31:05.350000'])
+
+        result = left.union(right)
+        exp = DatetimeIndex(sorted(set(list(left)) | set(list(right))))
+        self.assert_(result.equals(exp))
+
     # def test_add_timedelta64(self):
     #     rng = date_range('1/1/2000', periods=5)
     #     delta = rng.values[3] - rng.values[1]