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:

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:

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:


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