BUG: tweak for DataFrame.to_records datetimeindex fix #1908

pandas/core/common.py

@@ -649,7 +649,6 @@ def _possibly_cast_item(obj, item, dtype):
         elif not issubclass(dtype, (np.integer, np.bool_)):  # pragma: no cover
             raise ValueError("Unexpected dtype encountered: %s" % dtype)
 
-
 def _is_bool_indexer(key):
     if isinstance(key, np.ndarray) and key.dtype == np.object_:
         key = np.asarray(key)

pandas/core/frame.py

@@ -1051,7 +1051,7 @@ def from_records(cls, data, index=None, exclude=None, columns=None,
 
         return DataFrame(mgr)
 
-    def to_records(self, index=True):
+    def to_records(self, index=True, convert_datetime64=True):
         """
         Convert DataFrame to record array. Index will be put in the
         'index' field of the record array if requested
@@ -1060,16 +1060,20 @@ def to_records(self, index=True):
         ----------
         index : boolean, default True
             Include index in resulting record array, stored in 'index' field
+        convert_datetime64 : boolean, default True
+            Whether to convert the index to datetime.datetime if it is a
+            DatetimeIndex
 
         Returns
         -------
         y : recarray
         """
         if index:
-            if (com.is_datetime64_dtype(self.index)):
-                arrays = [self.index.asobject.values] + [self[c].values for c in self.columns]
+            if com.is_datetime64_dtype(self.index) and convert_datetime64:
+                ix_vals = [self.index.to_pydatetime()]
             else:
-                arrays = [self.index.values] + [self[c].values for c in self.columns]
+                ix_vals = [self.index.values]
+            arrays = ix_vals + [self[c].values for c in self.columns]
 
             count = 0
             index_names = self.index.names

pandas/tests/test_frame.py

@@ -2668,10 +2668,14 @@ def test_to_json_except(self):
         df = DataFrame([1, 2, 3])
         self.assertRaises(ValueError, df.to_json, orient="garbage")
 
-    def test_array_index_asobject(self):
-        df = DataFrame([["one", "two", "three"], ["four", "five", "six"]], index=pan.date_range("2012-01-01", "2012-01-02"))
+    def test_to_records_dt64(self):
+        df = DataFrame([["one", "two", "three"],
+                        ["four", "five", "six"]],
+                       index=pan.date_range("2012-01-01", "2012-01-02"))
         self.assert_(df.to_records()['index'][0] == df.index[0])
 
+        rs = df.to_records(convert_datetime64=False)
+        self.assert_(rs['index'][0] == df.index.values[0])
 
     def test_from_records_to_records(self):
         # from numpy documentation