Hello,

We are proud to announce v0.16.2 of pandas, a minor release from 0.16.1. 

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 release of 4 weeks with 105 commits by 32 authors encompassing 48 issues and 71 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 of this release include:
  • A new pipe method, see here
  • Documentation on how to use numba with pandas, see here

Documentation:
http://pandas.pydata.org/pandas-docs/stable/

Source tarballs, windows binaries are available on PyPI:

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

Please report any issues here:
https://github.com/pydata/pandas/issues


Thanks

The Pandas Development Team


Contributors to the 0.16.2 release

  • Andrew Rosenfeld
  • Artemy Kolchinsky
  • Bernard Willers
  • Christer van der Meeren
  • Christian Hudon
  • Constantine Glen Evans
  • Daniel Julius Lasiman
  • Evan Wright
  • Francesco Brundu
  • Gaëtan de Menten
  • Jake VanderPlas
  • James Hiebert
  • Jeff Reback
  • Joris Van den Bossche
  • Justin Lecher
  • Ka Wo Chen
  • Kevin Sheppard
  • Mortada Mehyar
  • Morton Fox
  • Robin Wilson
  • Thomas Grainger
  • Tom Ajamian
  • Tom Augspurger
  • Yoshiki Vázquez Baeza
  • Younggun Kim
  • austinc
  • behzad nouri
  • jreback
  • lexual
  • rekcahpassyla
  • scls19fr
  • sinhrks