[SciPy-User] ANN: pandas 0.9.0 released

Flavio Coelho fccoelho@gmail....
Mon Oct 8 04:38:32 CDT 2012


Crysttian, vale a pena atualizar e verificar se há novas funcionalidades
úteis para nós

sudo pip install -U pandas


---------- Forwarded message ----------
From: Wes McKinney <wesmckinn@gmail.com>
Date: Sun, Oct 7, 2012 at 10:14 PM
Subject: [SciPy-User] ANN: pandas 0.9.0 released
To: pystatsmodels@googlegroups.com, SciPy Users List <scipy-user@scipy.org>

hi all,

I'm pleased to announce the 0.9.0 release of pandas. This is a
major release with several feature improvements, a very large
number of bug- and corner case-fixes, and minor, but necessary
API changes. Many issues that were preventing pandas 0.7.x users
from upgrading to 0.8.x (due to numpy.datetime64 problems) have
been fixed. I recommend that all users upgrade to it as soon as

Thanks to all who contributed to this release, especially Chang
She, Wouter Overmeire, and y-p. As always source archives and
Windows installers can be found on PyPI.

What's new: http://pandas.pydata.org/pandas-docs/stable/whatsnew.html

$ git log v0.8.1..v0.9.0 --pretty=format:%aN | sort | uniq -c | sort -rn
    178 Wes McKinney
     77 Chang She
     22 y-p
     17 Wouter Overmeire
      7 Skipper Seabold
      5 tshauck
      5 Spencer Lyon
      5 Martin Blais
      4 Paul Ivanov
      4 Lars Buitinck
      4 Dan Miller
      2 John-Colvin
      2 Christopher Whelan
      1 Yaroslav Halchenko
      1 Taavi Burns
      1 Øystein S. Haaland
      1 MinRK
      1 Mark O'Leary
      1 lenolib
      1 Joshua Leahy
      1 Johnny
      1 Doug Coleman
      1 Dieter Vandenbussche
      1 Daniel Shapiro

Happy data hacking!

- Wes

What is it
pandas is a Python package providing fast, flexible, and
expressive data structures designed to make working with
relational, time series, or any other kind of labeled data both
easy and intuitive. It aims to be the fundamental high-level
building block for doing practical, real world data analysis in

Release Notes: http://github.com/pydata/pandas/blob/master/RELEASE.rst
Documentation: http://pandas.pydata.org
Installers: http://pypi.python.org/pypi/pandas
Code Repository: http://github.com/pydata/pandas
Mailing List: http://groups.google.com/group/pydata
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Flávio Codeço Coelho
+55(21) 3799-5567
Escola de Matemática Aplicada
Fundação Getúlio Vargas
Praia de Botafogo, 190 sala 312
Rio de Janeiro - RJ
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