Move whatsnew note and use OrderedDict in test

Author: reidy-p

doc/source/whatsnew/v0.23.0.txt

@@ -295,6 +295,7 @@ Other Enhancements
 - ``IntervalIndex.astype`` now supports conversions between subtypes when passed an ``IntervalDtype`` (:issue:`19197`)
 - :class:`IntervalIndex` and its associated constructor methods (``from_arrays``, ``from_breaks``, ``from_tuples``) have gained a ``dtype`` parameter (:issue:`19262`)
 - Added :func:`SeriesGroupBy.is_monotonic_increasing` and :func:`SeriesGroupBy.is_monotonic_decreasing` (:issue:`17015`)
+- :func:`DataFrame.from_dict` now accepts a ``columns`` argument that can be used to specify the column names when ``orient='index'`` is used (:issue:`18529`)
 
 .. _whatsnew_0230.api_breaking:
 
@@ -589,7 +590,6 @@ Other API Changes
 - :func:`Series.to_csv` now accepts a ``compression`` argument that works in the same way as the ``compression`` argument in :func:`DataFrame.to_csv` (:issue:`18958`)
 - Set operations (union, difference...) on :class:`IntervalIndex` with incompatible index types will now raise a ``TypeError`` rather than a ``ValueError`` (:issue:`19329`)
 - :class:`DateOffset` objects render more simply, e.g. ``<DateOffset: days=1>`` instead of ``<DateOffset: kwds={'days': 1}>`` (:issue:`19403`)
-- :func:`DataFrame.from_dict` now accepts a ``columns`` argument that can be used to specify the column names when ``orient='index'`` is used (:issue:`18529`)
 
 .. _whatsnew_0230.deprecations:
 

pandas/tests/frame/test_constructors.py

@@ -1095,7 +1095,8 @@ def test_from_dict_columns_parameter(self):
         # GH 18529
         # Test new columns parameter for from_dict that was added to make
         # from_items(..., orient='index', columns=[...]) easier to replicate
-        result = DataFrame.from_dict(dict([('A', [1, 2]), ('B', [4, 5])]),
+        result = DataFrame.from_dict(OrderedDict([('A', [1, 2]),
+                                                  ('B', [4, 5])]),
                                      orient='index', columns=['one', 'two'])
         expected = DataFrame([[1, 2], [4, 5]], index=['A', 'B'],
                              columns=['one', 'two'])