BUG: don't cast to tuple except in failure, only test with namedtuple when it exists (py >= 2.7), GH #611

Author: wesm

pandas/src/inference.pyx

@@ -447,11 +447,17 @@ def to_object_array_tuples(list rows):
 
     result = np.empty((n, k), dtype=object)
 
-    for i from 0 <= i < n:
-        row = tuple(rows[i]) # upcast any subclasses to tuple
-
-        for j from 0 <= j < len(row):
-            result[i, j] = row[j]
+    try:
+        for i in range(n):
+            row = rows[i]
+            for j from 0 <= j < len(row):
+                result[i, j] = row[j]
+    except Exception:
+        # upcast any subclasses to tuple
+        for i in range(n):
+            row = tuple(rows[i])
+            for j from 0 <= j < len(row):
+                result[i, j] = row[j]
 
     return result
 

pandas/tests/test_tseries.py

@@ -280,12 +280,15 @@ def test_to_object_array_tuples(self):
         values = [r]
         result = lib.to_object_array_tuples(values)
 
-        # make sure record array works
-        import collections as col
-        record = col.namedtuple('record', 'x y')
-        r = record(5,6)
-        values = [r]
-        result = lib.to_object_array_tuples(values)
+        try:
+            # make sure record array works
+            from collections import namedtuple
+            record = namedtuple('record', 'x y')
+            r = record(5, 6)
+            values = [r]
+            result = lib.to_object_array_tuples(values)
+        except ImportError:
+            pass
 
 class TestMoments(unittest.TestCase):
     pass