DOC: update whatsnew/release notes for 0.19.1 (#14573)

Author: jorisvandenbossche

doc/source/release.rst

@@ -37,6 +37,50 @@ analysis / manipulation tool available in any language.
 * Binary installers on PyPI: http://pypi.python.org/pypi/pandas
 * Documentation: http://pandas.pydata.org
 
+
+pandas 0.19.1
+-------------
+
+**Release date:** November 3, 2016
+
+This is a minor bug-fix release from 0.19.0 and includes some small regression fixes,
+bug fixes and performance improvements.
+
+See the :ref:`v0.19.1 Whatsnew <whatsnew_0191>` page for an overview of all
+bugs that have been fixed in 0.19.1.
+
+Thanks
+~~~~~~
+
+- Adam Chainz
+- Anthonios Partheniou
+- Arash Rouhani
+- Ben Kandel
+- Brandon M. Burroughs
+- Chris
+- chris-b1
+- Chris Warth
+- David Krych
+- dubourg
+- gfyoung
+- Iván Vallés Pérez
+- Jeff Reback
+- Joe Jevnik
+- Jon M. Mease
+- Joris Van den Bossche
+- Josh Owen
+- Keshav Ramaswamy
+- Larry Ren
+- mattrijk
+- Michael Felt
+- paul-mannino
+- Piotr Chromiec
+- Robert Bradshaw
+- Sinhrks
+- Thiago Serafim
+- Tom Bird
+
+
 pandas 0.19.0
 -------------
 

doc/source/whatsnew/v0.19.1.txt

@@ -1,15 +1,12 @@
 .. _whatsnew_0191:
 
-v0.19.1 (????, 2016)
----------------------
+v0.19.1 (November 3, 2016)
+--------------------------
 
-This is a minor bug-fix release from 0.19.0 and includes a large number of
-bug fixes along with several new features, enhancements, and performance improvements.
+This is a minor bug-fix release from 0.19.0 and includes some small regression fixes,
+bug fixes and performance improvements.
 We recommend that all users upgrade to this version.
 
-Highlights include:
-
-
 .. contents:: What's new in v0.19.1
     :local:
     :backlinks: none
@@ -21,66 +18,44 @@ Performance Improvements
 ~~~~~~~~~~~~~~~~~~~~~~~~
 
 - Fixed performance regression in factorization of ``Period`` data (:issue:`14338`)
-- Improved performance in ``.to_json()`` when ``lines=True`` (:issue:`14408`)
-- Improved performance in ``Series.asof(where)`` when ``where`` is a scalar (:issue:`14461`)
+- Fixed performance regression in ``Series.asof(where)`` when ``where`` is a scalar (:issue:`14461`)
 - Improved performance in ``DataFrame.asof(where)`` when ``where`` is a scalar (:issue:`14461`)
+- Improved performance in ``.to_json()`` when ``lines=True`` (:issue:`14408`)
 - Improved performance in certain types of `loc` indexing with a MultiIndex (:issue:`14551`).
 
 
-
 .. _whatsnew_0191.bug_fixes:
 
 Bug Fixes
 ~~~~~~~~~
 
+- Source installs from PyPI will now again work without ``cython`` installed, as in previous versions (:issue:`14204`)
 - Compat with Cython 0.25 for building (:issue:`14496`)
+- Fixed regression where user-provided file handles were closed in ``read_csv`` (c engine) (:issue:`14418`).
+- Fixed regression in ``DataFrame.quantile`` when missing values where present in some columns (:issue:`14357`).
+- Fixed regression in ``Index.difference`` where the ``freq`` of a ``DatetimeIndex`` was incorrectly set (:issue:`14323`)
 - Added back ``pandas.core.common.array_equivalent`` with a deprecation warning (:issue:`14555`).
-
 - Bug in ``pd.read_csv`` for the C engine in which quotation marks were improperly parsed in skipped rows (:issue:`14459`)
 - Bug in ``pd.read_csv`` for Python 2.x in which Unicode quote characters were no longer being respected (:issue:`14477`)
-- Fixed regression where user-provided file handles were closed in ``read_csv`` (c engine) (:issue:`14418`).
+- Fixed regression in ``Index.append`` when categorical indices were appended (:issue:`14545`).
+- Fixed regression in ``pd.DataFrame`` where constructor fails when given dict with ``None`` value (:issue:`14381`)
+- Fixed regression in ``DatetimeIndex._maybe_cast_slice_bound`` when index is empty (:issue:`14354`).
 - Bug in localizing an ambiguous timezone when a boolean is passed (:issue:`14402`)
 - Bug in ``TimedeltaIndex`` addition with a Datetime-like object where addition overflow in the negative direction was not being caught (:issue:`14068`, :issue:`14453`)
-
-- Bug in ``pd.DataFrame`` where constructor fails when given dict with ``None`` value (:issue:`14381`)
-
-
 - Bug in string indexing against data with ``object`` ``Index`` may raise ``AttributeError`` (:issue:`14424`)
 - Corrrecly raise ``ValueError`` on empty input to ``pd.eval()`` and ``df.query()`` (:issue:`13139`)
-
-
 - Bug in ``RangeIndex.intersection`` when result is a empty set (:issue:`14364`).
-- Bug in union of differences from a ``DatetimeIndex``; this is a regression in 0.19.0 from 0.18.1 (:issue:`14323`)
-- Regression in ``DatetimeIndex._maybe_cast_slice_bound`` when index is empty (:issue:`14354`).
-
 - Bug in groupby-transform broadcasting that could cause incorrect dtype coercion (:issue:`14457`)
-
-
 - Bug in ``Series.__setitem__`` which allowed mutating read-only arrays (:issue:`14359`).
-
-
-- Source installs from PyPI will now work without ``cython`` installed, as in previous versions (:issue:`14204`)
 - Bug in ``DataFrame.insert`` where multiple calls with duplicate columns can fail (:issue:`14291`)
-
 - ``pd.merge()`` will raise ``ValueError`` with non-boolean parameters in passed boolean type arguments (:issue:`14434`)
-
-
 - Bug in ``Timestamp`` where dates very near the minimum (1677-09) could underflow on creation (:issue:`14415`)
-- Regression in ``DataFrame.quantile`` when missing values where present in some columns (:issue:`14357`).
 - Bug in ``pd.concat`` where names of the ``keys`` were not propagated to the resulting ``MultiIndex`` (:issue:`14252`)
 - Bug in ``pd.concat`` where ``axis`` cannot take string parameters ``'rows'`` or ``'columns'`` (:issue:`14369`)
 - Bug in ``pd.concat`` with dataframes heterogeneous in length and tuple ``keys`` (:issue:`14438`)
 - Bug in ``MultiIndex.set_levels`` where illegal level values were still set after raising an error (:issue:`13754`)
 - Bug in ``DataFrame.to_json`` where ``lines=True`` and a value contained a ``}`` character (:issue:`14391`)
 - Bug in ``df.groupby`` causing an ``AttributeError`` when grouping a single index frame by a column and the index level (:issue`14327`)
 - Bug in ``df.groupby`` where ``TypeError`` raised when ``pd.Grouper(key=...)`` is passed in a list (:issue:`14334`)
-
-
-
-
-
-
-
-
 - Bug in ``pd.pivot_table`` may raise ``TypeError`` or ``ValueError`` when ``index`` or ``columns``
   is not scalar and ``values`` is not specified (:issue:`14380`)