Mailman 3 March 2015 - Pandas-dev

ANN: pandas 0.16.0 released
by Jeff Reback March 23, 2015

March 23, 2015

Hello, We are proud to announce v0.16.0 of pandas, a major release from 0.15.2. 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 by 60 authors encompassing 204 issues. We recommend that all users upgrade to this version. *Highlights:* - - *DataFrame.assign* method, see here <http://pandas.pydata.org/pandas-docs/stable/whatsnew.html#whatsnew-0160-enh…> - *Series.to_coo/from_coo* methods to interact with *scipy.sparse*, see here <http://pandas.pydata.org/pandas-docs/stable/whatsnew.html#whatsnew-0160-enh…> - Backwards incompatible change to *Timedelta* to conform the *.seconds* attribute with *datetime.timedelta*, see here <http://pandas.pydata.org/pandas-docs/stable/whatsnew.html#whatsnew-0160-api…> - Changes to the *.loc* slicing API to conform with the behavior of *.ix* see here <http://pandas.pydata.org/pandas-docs/stable/whatsnew.html#whatsnew-0160-api…> - Changes to the default for ordering in the *Categorical* constructor, see here <http://pandas.pydata.org/pandas-docs/stable/whatsnew.html#whatsnew-0160-api…> - Enhancement to the *.str* accessor to make string operations easier, see here <http://pandas.pydata.org/pandas-docs/stable/whatsnew.html#whatsnew-0160-enh…> - The *pandas.tools.rplot*, *pandas.sandbox.qtpandas* and *pandas.rpy* modules are deprecated. - We refer users to external packages like seaborn <http://stanford.edu/~mwaskom/software/seaborn/>, pandas-qt <https://github.com/datalyze-solutions/pandas-qt> and rpy2 <http://rpy.sourceforge.net/> for similar or equivalent functionality, see here for more detail <http://pandas.pydata.org/pandas-docs/stable/whatsnew.html#deprecations> See a full description of the Whatsnew for v0.16.0 <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 wheels, macosx wheels are available on PyPI: https://pypi.python.org/pypi/pandas windows binaries are courtesy of Christoph Gohlke and are built on Numpy 1.9 macosx wheels are courtesy of Matthew Brett and are built on Numpy 1.7.1 Please report any issues here: https://github.com/pydata/pandas/issues Thanks The Pandas Development Team

1 0

0.16.0
by Jeff Reback March 20, 2015

March 20, 2015

going to do the release commit tomorrow - any objections? joris I will ping u after to update the docs and such

2 2

Pandas v0.16.0 release candidate 1
by Jeff Reback March 13, 2015

March 13, 2015

Hi, I'm pleased to announce the availability of the first release candidate of Pandas 0.16.0. Please try this RC and report any issues here: Pandas Issues <https://github.com/pydata/pandas/issues> We will be releasing officially in 1 week or so. This is a major release from 0.15.2 and includes a small number of API changes, several new features, enhancements, and performance improvements along with a large number of bug fixes. We recommend that all users upgrade to this version. - Highlights include: - DataFrame.assign method, see *here* <http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0160…> - Series.to_coo/from_coo methods to interact with scipy.sparse, see *here* <http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0160…> - Backwards incompatible change to Timedelta to conform the .seconds attribute with datetime.timedelta, see *here* <http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0160…> - Changes to the .loc slicing API to conform with the behavior of .ix see *here <http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#indexing-chan…>* - Changes to the default for ordering in the Categorical constructor, see *here <http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0160…>* Here are the full whatsnew and documentation links: v0.16.0 Whatsnew <http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html> Source tarballs, windows builds, and mac wheels are available here: Pandas v0.16.0rc1 Release <https://github.com/pydata/pandas/releases> A big thank you to everyone who contributed to this release! Jeff

2 1