We are proud to announce v0.15.2 of pandas, a minor release from 0.15.1.
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 a short release of 4 weeks with 137 commits by 49 authors encompassing 75 issues.
We recommend that all users upgrade to this version.
For a more full description of Whatsnew for v0.15.2, see 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.
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 are courtesy of Matthew Brett
Please report any issues here: https://github.com/pydata/pandas/issues
The Pandas Development Team
Contributors to the 0.15.2 release
- Aaron Staple - Angelos Evripiotis - Artemy Kolchinsky - Benoit Pointet - Brian Jacobowski - Charalampos Papaloizou - Chris Warth - David Stephens - Fabio Zanini - Francesc Via - Henry Kleynhans - Jake VanderPlas - Jan Schulz - Jeff Reback - Jeff Tratner - Joris Van den Bossche - Kevin Sheppard - Matt Suggit - Matthew Brett - Phillip Cloud - Rupert Thompson - Scott E Lasley - Stephan Hoyer - Stephen Simmons - Sylvain Corlay - Thomas Grainger - Tiago Antao - Trent Hauck - Victor Chaves - Victor Salgado - Vikram Bhandoh - WANG Aiyong - Will Holmgren - behzad nouri - broessli - charalampos papaloizou - immerrr - jnmclarty - jreback - mgilbert - onesandzeroes - peadarcoyle - rockg - seth-p - sinhrks - unutbu - wavedatalab - Åsmund Hjulstad