Mailman 3 July 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 0.14.1 released
by Jeff Reback July 11, 2014

July 11, 2014

Hello, We are proud to announce v0.14.1 of pandas, a minor release from 0.14.0. 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 1.5 months of work with 244 commits by 45 authors encompassing 306 issues. We recommend that all users upgrade to this version. *Highlights:* - New method select_dtypes() <http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.sele…> to select columns based on the dtype - New method sem() <http://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.sem.htm…> to calculate the standard error of the mean. - Support for dateutil timezones (see *docs* <http://pandas.pydata.org/pandas-docs/stable/timeseries.html#timeseries-time…> ). - Support for ignoring full line comments in the read_csv() <http://pandas.pydata.org/pandas-docs/stable/generated/pandas.read_csv.html#…>text parser. - New documentation section on *Options and Settings* <http://pandas.pydata.org/pandas-docs/stable/options.html#options>. - Lots of bug fixes For a more a full description of Whatsnew for v0.14.1 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 0.14.1 release - Andrew Rosenfeld - Andy Hayden - Benjamin Adams - Benjamin M. Gross - Brian Quistorff - Brian Wignall - bwignall - clham - Daniel Waeber - David Bew - David Stephens - DSM - dsm054 - helger - immerrr - Jacob Schaer - jaimefrio - Jan Schulz - John David Reaver - John W. O’Brien - Joris Van den Bossche - jreback - Julien Danjou - Kevin Sheppard - K.-Michael Aye - Kyle Meyer - lexual - Matthew Brett - Matt Wittmann - Michael Mueller - Mortada Mehyar - onesandzeroes - Phillip Cloud - Rob Levy - rockg - sanguineturtle - Schaer, Jacob C - seth-p - sinhrks - Stephan Hoyer - Thomas Kluyver - Todd Jennings - TomAugspurger - unknown - yelite

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0.14.1 release?
by Joris Van den Bossche July 9, 2014

July 9, 2014

What are the plans for a 0.14.1 release? We initially said end of June? Regards, Joris

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will anyone be at scipy? <nt>
by Wes McKinney July 7, 2014

July 7, 2014

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0.15.0
by Jeff Reback July 6, 2014

July 6, 2014

I put all 0.15 issues on 0.15.1 and created a new 0.15 do then can pull issues into 0.15 rather than going thru all of them which I find tedious so move anything u think is doable for 0.15 let's see how this works I can be reached on my cell 917-971-6387

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