doc updates

doc/source/io.rst

@@ -477,6 +477,7 @@ using the ``converters`` argument of :func:`~pandas.read_csv` would certainly be
 worth trying.
 
   .. versionadded:: 0.20.0 support for the Python parser.
+
      The ``dtype`` option is supported by the 'python' engine
 
 .. note::

doc/source/whatsnew/v0.20.0.txt

@@ -22,8 +22,17 @@ New features
 ~~~~~~~~~~~~
 
 
+``read_csv`` supports ``dtype`` keyword for python engine
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 
+The ``dtype`` keyword argument in the :func:`read_csv` function for specifying the types of parsed columns
+ is now supported with the ``'python'`` engine.  See the :ref:`io docs <io.dtypes>` for more information.
 
+.. ipython:: python
+
+   data = "a,b\n1,2\n3,4"
+   pd.read_csv(StringIO(data), engine='python').dtypes
+   pd.read_csv(StringIO(data), engine='python', dtype={'a':'float64', 'b':'object'}).dtypes
 
 .. _whatsnew_0200.enhancements.other:
 
@@ -32,14 +41,6 @@ Other enhancements
 
 - ``pd.read_excel`` now preserves sheet order when using ``sheetname=None`` (:issue:`9930`)
 
-- The ``dtype`` keyword argument in the :func:`read_csv` function for specifying the types of parsed columns
- is now supported with the ``'python'`` engine.  See the :ref:`io docs <io.dtypes>` for more information.
-
-.. ipython:: python
-
-   data = "a,b\n1,2\n3,4"
-   pd.read_csv(StringIO(data), engine='python').dtypes
-   pd.read_csv(StringIO(data), engine='python', dtype={'a':'float64', 'b':'object'}).dtypes
 
 .. _whatsnew_0200.api_breaking: