Thanks for the all the hard work! Really looking forward to using the `assign` method in long chained statements.
-Paul On Fri, Mar 13, 2015 at 8:33 AM, Jeff Reback <jeffreb...@gmail.com> wrote: > 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 > > -- > You received this message because you are subscribed to the Google Groups > "PyData" group. > To unsubscribe from this group and stop receiving emails from it, send an > email to pydata+unsubscr...@googlegroups.com. > For more options, visit https://groups.google.com/d/optout. >
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