From 6168765972cb3c2f8df45cbb791ce2dd8cc4c5e1 Mon Sep 17 00:00:00 2001
From: Joel Nothman <joel.nothman@gmail.com>
Date: Thu, 20 Apr 2017 00:25:45 +1000
Subject: [PATCH] Recommended changes to what's new

---
 doc/source/whatsnew/v0.20.0.txt | 17 +++++++++++++----
 1 file changed, 13 insertions(+), 4 deletions(-)

diff --git a/doc/source/whatsnew/v0.20.0.txt b/doc/source/whatsnew/v0.20.0.txt
index c3fbbcf542daf..8834a4f578006 100644
--- a/doc/source/whatsnew/v0.20.0.txt
+++ b/doc/source/whatsnew/v0.20.0.txt
@@ -17,6 +17,7 @@ Highlights include:
 - Improved user API when accessing levels in ``.groupby()``, see :ref:`here <whatsnew_0200.enhancements.groupby_access>`
 - Improved support for ``UInt64`` dtypes, see :ref:`here <whatsnew_0200.enhancements.uint64_support>`
 - A new orient for JSON serialization, ``orient='table'``, that uses the :ref:`Table Schema spec <whatsnew_0200.enhancements.table_schema>`
+- Experimental support for exporting ``DataFrame.style`` formats to Excel , see :ref:`here <whatsnew_0200.enhancements.style_excel>`
 - Window Binary Corr/Cov operations now return a MultiIndexed ``DataFrame`` rather than a ``Panel``, as ``Panel`` is now deprecated, see :ref:`here <whatsnew_0200.api_breaking.rolling_pairwise>`
 - Support for S3 handling now uses ``s3fs``, see :ref:`here <whatsnew_0200.api_breaking.s3>`
 - Google BigQuery support now uses the ``pandas-gbq`` library, see :ref:`here <whatsnew_0200.api_breaking.gbq>`
@@ -403,7 +404,7 @@ To convert a ``SparseDataFrame`` back to sparse SciPy matrix in COO format, you
 Excel output for styled DataFrames
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 
-Experimental support has been added to export ``DataFrame.style`` to Excel using the ``openpyxl`` engine. (:issue:`15530`)
+Experimental support has been added to export ``DataFrame.style`` formats to Excel using the ``openpyxl`` engine. (:issue:`15530`)
 
 For example, after running the following, ``styled.xlsx`` renders as below:
 
@@ -415,16 +416,24 @@ For example, after running the following, ``styled.xlsx`` renders as below:
                                      columns=list('BCDE'))],
                    axis=1)
     df.iloc[0, 2] = np.nan
-    df.style.\
+    styled = df.style.\
         applymap(lambda val: 'color: %s' % 'red' if val < 0 else 'black').\
         apply(lambda s: ['background-color: yellow' if v else ''
-                         for v in s == s.max()]).\
-        to_excel('styled.xlsx', engine='openpyxl')
+                         for v in s == s.max()])
+    styled
+    styled.to_excel('styled.xlsx', engine='openpyxl')
 
 .. image:: _static/style-excel.png
 
+.. ipython:: python
+    :suppress:
+    import os
+    os.remove('styled.xlsx')
+
 See the :ref:`Style documentation <style>` for more detail.
 
+.. _whatsnew_0200.enhancements.intervalindex:
+
 IntervalIndex
 ^^^^^^^^^^^^^