Mailman 3 May 2014 - Pandas-dev

ANN: Pandas 0.14.0 Release Candidate 1
by Jeff Reback Nov. 8, 2014

Nov. 8, 2014

Hi, I'm pleased to announce the availability of the first release candidate of Pandas 0.14.0. Please try this RC and report any issues here: Pandas Issues<https://github.com/pydata/pandas/issues> We will be releasing officially in about 2 weeks or so. This is a major release from 0.13.1 and includes a small number of API changes, several new features, enhancements, and performance improvements along with a large number of bug fixes. Highlights include: - Officially support Python 3.4 - SQL interfaces updated to use sqlalchemy, - Display interface changes - MultiIndexing Using Slicers - Ability to join a singly-indexed DataFrame with a multi-indexed DataFrame - More consistency in groupby results and more flexible groupby specifications - Holiday calendars are now supported in CustomBusinessDay - Several improvements in plotting functions, including: hexbin, area and pie plots. - Performance doc section on I/O operations Since there are some significant changes in the default way DataFrames are displayed. I have put up a comment issue looking for some feedback here<https://github.com/pydata/pandas/issues/7146> Here are the full whatsnew and documentation links: v0.14.0 Whatsnew<http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html> v0.14.0 Documentation Page<http://pandas-docs.github.io/pandas-docs-travis/> Source tarballs, and windows builds are available here: Pandas v0.14rc1 Release <https://github.com/pydata/pandas/releases> A big thank you to everyone who contributed to this release! Jeff

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ANN: Pandas 0.14.0 released
by Jeff Reback June 9, 2014

June 9, 2014

Hello, We are proud to announce v0.14.0 of pandas, a major release from 0.13.1. This release includes a small number of API changes, several new features, enhancements, and performance improvements along with a large number of bug fixes. This was 4 months of work with 1014 commits by 121 authors encompassing 757 issues. We recommend that all users upgrade to this version. *Highlights:* - Officially support Python 3.4 - SQL interfaces updated to use sqlalchemy - Display interface changes - MultiIndexing Using Slicers - Ability to join a singly-indexed DataFrame with a multi-indexed DataFrame - More consistency in groupby results and more flexible groupby specifications - Holiday calendars are now supported in CustomBusinessDay - Several improvements in plotting functions, including: hexbin, area and pie plots - Performance doc section on I/O operations See a full description of Whatsnew for v0.14.0 here: http://pandas.pydata.org/pandas-docs/stable/whatsnew.html *What is it:* *pandas* is a Python package providing fast, flexible, and expressive data structures designed to make working with “relational” or “labeled” data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python. Additionally, it has the broader goal of becoming the most powerful and flexible open source data analysis / manipulation tool available in any language. Documentation: http://pandas.pydata.org/pandas-docs/stable/ Source tarballs, windows binaries are available on PyPI: https://pypi.python.org/pypi/pandas windows binaries are courtesy of Christoph Gohlke and are built on Numpy 1.8 macosx wheels will be available soon, courtesy of Matthew Brett Please report any issues here: https://github.com/pydata/pandas/issues Thanks The Pandas Development Team Contributors to the 0.14.0 release - Acanthostega - Adam Marcus - agijsberts - akittredge - Alex Gaudio - Alex Rothberg - AllenDowney - Andrew Rosenfeld - Andy Hayden - ankostis - anomrake - Antoine Mazières - anton-d - bashtage - Benedikt Sauer - benjamin - Brad Buran - bwignall - cgohlke - chebee7i - Christopher Whelan - Clark Fitzgerald - clham - Dale Jung - Dan Allan - Dan Birken - danielballan - Daniel Waeber - David Jung - David Stephens - Douglas McNeil - DSM - Garrett Drapala - Gouthaman Balaraman - Guillaume Poulin - hshimizu77 - hugo - immerrr - ischwabacher - Jacob Howard - Jacob Schaer - jaimefrio - Jason Sexauer - Jeff Reback - Jeffrey Starr - Jeff Tratner - John David Reaver - John McNamara - John W. O'Brien - Jonathan Chambers - Joris Van den Bossche - jreback - jsexauer - Julia Evans - Júlio - Katie Atkinson - kdiether - Kelsey Jordahl - Kevin Sheppard - K.-Michael Aye - Matthias Kuhn - Matt Wittmann - Max Grender-Jones - Michael E. Gruen - michaelws - mikebailey - Mike Kelly - Nipun Batra - Noah Spies - ojdo - onesandzeroes - Patrick O'Keeffe - phaebz - Phillip Cloud - Pietro Battiston - PKEuS - Randy Carnevale - ribonoous - Robert Gibboni - rockg - sinhrks - Skipper Seabold - SplashDance - Stephan Hoyer - Tim Cera - Tobias Brandt - Todd Jennings - TomAugspurger - Tom Augspurger - unutbu - westurner - Yaroslav Halchenko - y-p - zach powers

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whatsnew vs release notes
by Joris Van den Bossche May 31, 2014

May 31, 2014

Hi list, A question about the possible duplicative nature of the release notes and whatsnew page. I know this has been discussed earlier (eg https://github.com/pydata/pandas/issues/4389), and the conclusion there was "*Release notes has every change, with a small description and issue reference. Whatsnew has 'big' changes, and examples (if necessary), and is the 'announcement' email, while release notes is the reference doc*". This is also stated on the wiki ( https://github.com/pydata/pandas/wiki/Documenting-new-features-and-bug-fixes ). But looking at the actual pages of the upcoming 0.14 release, I think almost everything in release notes is also in whatsnew, apart from the (long) bug fixes section, and that whatsnew has examples while release notes has not, and whatsnew is structured a bit more by topic. In addition, the whatsnew file has also become much to large to be appropriate as the 'announcement' but has become the reference doc in my regard. Seeing this duplication (and also a lot of PRs that just add the same sentence in both files), I was wondering if this is worth it. And if it would not be better (less work for the contributor, and also for a user looking at these pages on the website having both does not seem that usefull) to just have one extensive page with the two merged. And then before a release a summary with the most notable parts of that can be made to use as announcement? Regards, Joris

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Re: [Pandas-dev] ANN: Pandas 0.14.0 Release Candidate 1
by Jeff May 30, 2014

May 30, 2014

building on windows is a bit non-trivial (and really not recommended; you can try these builds here: http://www.lfd.uci.edu/~gohlke/pythonlibs/#pandas for rc1 (0.14.0 is building shortly) On Friday, May 30, 2014 11:59:52 AM UTC-4, klo uo wrote: > > On Windows with 64 bit Python: > > 1. `pip install -U pandas` (with MSVC) fails: > https://gist.githubusercontent.com/anonymous/826f23fbbf0aca077328/raw/082a9… > > after downloading source: > > 2. trying to build, by default with MSVC fails: > https://gist.githubusercontent.com/anonymous/3bf2bda7db706be6b9f7/raw/75f2d… > > 3. trying to build with mingw fails: > https://gist.githubusercontent.com/anonymous/0c6dd00d072846cb4287/raw/490eb… > > > ...waiting for gohlke builds >

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pandas release schedule
by Jeff Reback May 12, 2014

May 12, 2014

Hey, Thinking that would be nice to release 0.14.0 in mid-late May, depending on how much of the SQL stuff needs to go in. Then 0.14.1 if necessary maybe 1 month later. Any thoughts? Jeff

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