ANN: pandas 0.16.0 released

[Jeff Reback]

Hello,

We are proud to announce v0.16.0 of pandas, a major release from 0.15.2. 

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 4 months of work by 60 authors encompassing 204 issues.

We recommend that all users upgrade to this version.

Highlights:

• DataFrame.assign method, see here
  
• Series.to_coo/from_coo methods to interact with scipy.sparse, see here
• Backwards incompatible change to Timedelta to conform the .seconds attribute with datetime.timedelta, see here
• Changes to the .loc slicing API to conform with the behavior of .ix see here
• Changes to the default for ordering in the Categorical constructor, see here
• Enhancement to the .str accessor to make string operations easier, see here
• The pandas.tools.rplot, pandas.sandbox.qtpandas and pandas.rpy modules are deprecated.  
• We refer users to external packages like seaborn, pandas-qt and rpy2 for similar or equivalent functionality, see here for more detail

See a full description of the Whatsnew for v0.16.0

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.

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

Source tarballs, windows wheels, macosx wheels are available on PyPI:

https://pypi.python.org/pypi/pandas

windows binaries are courtesy of  Christoph Gohlke and are built on Numpy 1.9

macosx wheels are courtesy of Matthew Brett and are built on Numpy 1.7.1

Please report any issues here:

https://github.com/pydata/pandas/issues

Thanks

The Pandas Development Team

[Big Stone]

Hi dear Pandas,

Still on track for a 0.16.1 release this week-end ?

[Jeff Reback]

yep trying for May 8/9

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