Groups | Search | Server Info | Keyboard shortcuts | Login | Register [http] [https] [nntp] [nntps]

Groups > comp.lang.python.announce > #1898

ANN: pandas v0.17.0 released

Show key headers only | View raw

Hi,

We are proud to announce v0.17.0 of pandas.

This is a major release from 0.16.2 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.

This was a release of 4 months with 515 commits by 112 authors encompassing
233 issues and 362 pull-requests.

We recommend that all users upgrade to this version.

*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.

*Highlights*:


   - Release the Global Interpreter Lock (GIL) on some cython operations,
   see here
   <http://pandas.pydata.org/pandas-docs/version/0.17.0/whatsnew.html#whatsnew-0170-gil>
   - Plotting methods are now available as attributes of the .plot
   accessor, see here
   <http://pandas.pydata.org/pandas-docs/version/0.17.0/whatsnew.html#whatsnew-0170-plot>
   - The sorting API has been revamped to remove some long-time
   inconsistencies, see here
   <http://pandas.pydata.org/pandas-docs/version/0.17.0/whatsnew.html#whatsnew-0170-api-breaking-sorting>
   - Support for a datetime64[ns] with timezones as a first-class dtype,
   see here
   <http://pandas.pydata.org/pandas-docs/version/0.17.0/whatsnew.html#whatsnew-0170-tz>
   - The default for to_datetime will now be to raise when presented with
   unparseable formats, previously this would return the original input, see
   here
   <http://pandas.pydata.org/pandas-docs/version/0.17.0/whatsnew.html#whatsnew-0170-api-breaking-to-datetime>
   - The default for dropna in HDFStore has changed to False, to store by
   default all rows even if they are all NaN, see here
   <http://pandas.pydata.org/pandas-docs/version/0.17.0/whatsnew.html#whatsnew-0170-api-breaking-hdf-dropna>
   - Support for Series.dt.strftime to generate formatted strings for
   datetime-likes, see here
   <http://pandas.pydata.org/pandas-docs/version/0.17.0/whatsnew.html#whatsnew-0170-strftime>
   - Development installed versions of pandas will now have PEP440
   compliant version strings GH9518
   <https://github.com/pydata/pandas/issues/9518>
   - Development support for benchmarking with the Air Speed Velocity
   library GH8316 <https://github.com/pydata/pandas/pull/8316>
   - Support for reading SAS xport files, see here
   <http://pandas.pydata.org/pandas-docs/version/0.17.0/whatsnew.html#whatsnew-0170-enhancements-sas-xport>
   - Removal of the automatic TimeSeries broadcasting, deprecated since
   0.8.0, see here
   <http://pandas.pydata.org/pandas-docs/version/0.17.0/whatsnew.html#whatsnew-0170-prior-deprecations>
   - Display format with plain text can optionally align with Unicode East
   Asian Width, see here
   <http://pandas.pydata.org/pandas-docs/version/0.17.0/whatsnew.html#whatsnew-0170-east-asian-width>
   - Compatibility with Python 3.5 GH11097
   <https://github.com/pydata/pandas/issues/11097>
   - Compatibility with matplotlib 1.5.0 GH11111
   <https://github.com/pydata/pandas/issues/11111>

See the Whatsnew
<http://pandas.pydata.org/pandas-docs/version/0.17.0/whatsnew.html> for
much more information and the full Documentation
<http://pandas.pydata.org/pandas-docs/stable/> link.

*How to get it:*

Source tarballs, windows wheels, macosx wheels are available on PyPI
<https://pypi.python.org/pypi/pandas>

   - note that currently PyPi is not accepting 3.5 wheels.

Installation via conda is:

   - conda install pandas

windows wheels are courtesy of  Christoph Gohlke and are built on Numpy 1.9
macosx wheels are courtesy of Matthew Brett

*Issues:*

Please report any issues on our issue tracker
<https://github.com/pydata/pandas/issues>:


Thanks to all who made this release happen. It is a very large release!

Jeff

*Thanks to all of the contributors*


   - Alex Rothberg
   - Andrea Bedini
   - Andrew Rosenfeld
   - Andy Li
   - Anthonios Partheniou
   - Artemy Kolchinsky
   - Bernard Willers
   - Charlie Clark
   - Chris
   - Chris Whelan
   - Christoph Gohlke
   - Christopher Whelan
   - Clark Fitzgerald
   - Clearfield Christopher
   - Dan Ringwalt
   - Daniel Ni
   - Data & Code Expert Experimenting with Code on Data
   - David Cottrell
   - David John Gagne
   - David Kelly
   - ETF
   - Eduardo Schettino
   - Egor
   - Egor Panfilov
   - Evan Wright
   - Frank Pinter
   - Gabriel Araujo
   - Garrett-R
   - Gianluca Rossi
   - Guillaume Gay
   - Guillaume Poulin
   - Harsh Nisar
   - Ian Henriksen
   - Ian Hoegen
   - Jaidev Deshpande
   - Jan Rudolph
   - Jan Schulz
   - Jason Swails
   - Jeff Reback
   - Jonas Buyl
   - Joris Van den Bossche
   - Joris Vankerschaver
   - Josh Levy-Kramer
   - Julien Danjou
   - Ka Wo Chen
   - Karrie Kehoe
   - Kelsey Jordahl
   - Kerby Shedden
   - Kevin Sheppard
   - Lars Buitinck
   - Leif Johnson
   - Luis Ortiz
   - Mac
   - Matt Gambogi
   - Matt Savoie
   - Matthew Gilbert
   - Maximilian Roos
   - Michelangelo D'Agostino
   - Mortada Mehyar
   - Nick Eubank
   - Nipun Batra
   - Ondřej Čertík
   - Phillip Cloud
   - Pratap Vardhan
   - Rafal Skolasinski
   - Richard Lewis
   - Rinoc Johnson
   - Rob Levy
   - Robert Gieseke
   - Safia Abdalla
   - Samuel Denny
   - Saumitra Shahapure
   - Sebastian Pölsterl
   - Sebastian Rubbert
   - Sheppard, Kevin
   - Sinhrks
   - Siu Kwan Lam
   - Skipper Seabold
   - Spencer Carrucciu
   - Stephan Hoyer
   - Stephen Hoover
   - Stephen Pascoe
   - Terry Santegoeds
   - Thomas Grainger
   - Tjerk Santegoeds
   - Tom Augspurger
   - Vincent Davis
   - Winterflower
   - Yaroslav Halchenko
   - Yuan Tang (Terry)
   - agijsberts
   - ajcr
   - behzad nouri
   - cel4
   - cyrusmaher
   - davidovitch
   - ganego
   - jreback
   - juricast
   - larvian
   - maximilianr
   - msund
   - rekcahpassyla
   - robertzk
   - scls19fr
   - seth-p
   - sinhrks
   - springcoil
   - terrytangyuan
   - tzinckgraf

Back to comp.lang.python.announce | Previous | Next | Find similar | Unroll thread

Thread

ANN: pandas v0.17.0 released Jeff Reback <jeffreback@gmail.com> - 2015-10-09 14:31 -0400

csiph-web