[SciPy-User] ANN: pandas 0.8.1 released

Wes McKinney wesmckinn@gmail....
Sun Jul 22 15:26:12 CDT 2012


hi all,

I'm pleased to announce the 0.8.1 release of pandas. This is
primarily a bugfix release, though it includes a number of useful
new features and performance improvements that make it an
immediate recommended upgrade for all pandas users. Some highlights:

- Vectorized, NA-friendly string
  methods (e.g. series.str.replace('foo', 'bar'))
- Improved plotting support for time series data
- Improved styling capability for DataFrame plots (specifying a
  dict of styles) and plotting one column versus another
- Several new plot types developed as part of GSoC 2012 (see
  http://pandasplotting.blogspot.com/ for on going developments
- Significantly improved parsing performance of ISO8601 datetime strings

Thanks to all who contributed to this release, especially Chang
She and Vytautas Jančauskas. 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 v0.8.0..v0.8.1 --pretty=format:%aN | sort | uniq -c | sort -rn
     77 Wes McKinney
     39 Chang She
     11 Vytautas Jancauskas
      2 Todd DeLuca
      2 Skipper Seabold

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
Python.

Links
=====
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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