Merge pull request #4727 from jtratner/fix-from-records-unstructured-ndarray

BUG: Fix DataFrame.from_records w/ normal ndarray.

Author: jtratner

doc/source/release.rst

@@ -307,8 +307,8 @@ See :ref:`Internal Refactoring<whatsnew_0130.refactoring>`
   - Fix boolean comparison with a DataFrame on the lhs, and a list/tuple on the rhs (:issue:`4576`)
   - Fix error/dtype conversion with setitem of ``None`` on ``Series/DataFrame`` (:issue:`4667`)
   - Fix decoding based on a passed in non-default encoding in ``pd.read_stata`` (:issue:`4626`)
-  - Fix some inconsistencies with ``Index.rename`` and ``MultiIndex.rename``,
-    etc. (:issue:`4718`, :issue:`4628`)
+  - Fix some inconsistencies with ``Index.rename`` and ``MultiIndex.rename`` (:issue:`4718`, :issue:`4628`)
+  - Fix ``DataFrame.from_records`` with a plain-vanilla ``ndarray``. (:issue:`4727`)
 
 pandas 0.12
 ===========

pandas/core/frame.py

@@ -4876,7 +4876,9 @@ def _to_arrays(data, columns, coerce_float=False, dtype=None):
         return _list_of_series_to_arrays(data, columns,
                                          coerce_float=coerce_float,
                                          dtype=dtype)
-    elif isinstance(data, (np.ndarray, Series)):
+    elif (isinstance(data, (np.ndarray, Series))
+          and data.dtype.names is not None):
+
         columns = list(data.dtype.names)
         arrays = [data[k] for k in columns]
         return arrays, columns

pandas/tests/test_frame.py

@@ -3468,12 +3468,15 @@ def test_from_records_to_records(self):
         indexed_frame = DataFrame.from_records(arr, index=index)
         self.assert_(np.array_equal(indexed_frame.index, index))
 
+        # without names, it should go to last ditch
+        arr2 = np.zeros((2,3))
+        tm.assert_frame_equal(DataFrame.from_records(arr2), DataFrame(arr2))
+
         # wrong length
         self.assertRaises(Exception, DataFrame.from_records, arr,
                           index=index[:-1])
 
         indexed_frame = DataFrame.from_records(arr, index='f1')
-        self.assertRaises(Exception, DataFrame.from_records, np.zeros((2, 3)))
 
         # what to do?
         records = indexed_frame.to_records()