Hi,
I'm pleased to announce the availability of the first release candidate of
Pandas 0.16.0.
Please try this RC and report any issues here: Pandas Issues
<https://github.com/pydata/pandas/issues>
We will be releasing officially in 1 week or so.
This is a major release from 0.15.2 and includes a small number of API
changes, several new features, enhancements, and performance improvements
along with a large number of bug fixes. We recommend that all users upgrade
to this version.
- Highlights include:
- DataFrame.assign method, see *here*
<http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0160-enhancements-assign>
- Series.to_coo/from_coo methods to interact with scipy.sparse, see
*here*
<http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0160-enhancements-sparse>
- Backwards incompatible change to Timedelta to conform the
.seconds attribute
with datetime.timedelta, see *here*
<http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0160-api-breaking-timedelta>
- Changes to the .loc slicing API to conform with the behavior of .ix
see *here
<http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#indexing-changes>*
- Changes to the default for ordering in the Categorical constructor,
see *here
<http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0160-api-breaking-categorical>*
Here are the full whatsnew and documentation links:
v0.16.0 Whatsnew
<http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html>
Source tarballs, windows builds, and mac wheels are available here:
Pandas v0.16.0rc1 Release <https://github.com/pydata/pandas/releases>
A big thank you to everyone who contributed to this release!
Jeff
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