Mailman 3 September 2014 - Pandas-dev

ANN: Pandas 0.14.0 Release Candidate 1
by Jeff Reback Nov. 8, 2014

Nov. 8, 2014

Hi, I'm pleased to announce the availability of the first release candidate of Pandas 0.14.0. Please try this RC and report any issues here: Pandas Issues<https://github.com/pydata/pandas/issues> We will be releasing officially in about 2 weeks or so. This is a major release from 0.13.1 and includes a small number of API changes, several new features, enhancements, and performance improvements along with a large number of bug fixes. Highlights include: - Officially support Python 3.4 - SQL interfaces updated to use sqlalchemy, - Display interface changes - MultiIndexing Using Slicers - Ability to join a singly-indexed DataFrame with a multi-indexed DataFrame - More consistency in groupby results and more flexible groupby specifications - Holiday calendars are now supported in CustomBusinessDay - Several improvements in plotting functions, including: hexbin, area and pie plots. - Performance doc section on I/O operations Since there are some significant changes in the default way DataFrames are displayed. I have put up a comment issue looking for some feedback here<https://github.com/pydata/pandas/issues/7146> Here are the full whatsnew and documentation links: v0.14.0 Whatsnew<http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html> v0.14.0 Documentation Page<http://pandas-docs.github.io/pandas-docs-travis/> Source tarballs, and windows builds are available here: Pandas v0.14rc1 Release <https://github.com/pydata/pandas/releases> A big thank you to everyone who contributed to this release! Jeff

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Dataframe memory info printing
by Jeff Reback Sept. 24, 2014

Sept. 24, 2014

For the 0.15.0 release of pandas (coming 2nd week of oct), we are going to include memory info printing: see here: https://github.com/pydata/pandas/pull/7619 This will be controllable by an option display.memory_usage. My question to the community should this be by default True, e.g. show the memory usage (this only applies to using df.info()) There is really no performance impact here. Pls let us know! thanks Jeff >>> df.info(memory_usage=True)<class 'pandas.core.frame.DataFrame'>Int64Index: 10000000 entries, 0 to 9999999Data columns (total 5 columns):date datetime64[ns]float float64int int64smallint int16string objectdtypes: datetime64[ns](1), float64(1), int16(1), int64(1), object(1)memory usage: 324.2 MB

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Re: [Pandas-dev] Release schedule for 0.15 ?
by Joris Van den Bossche Sept. 22, 2014

Sept. 22, 2014

The issue is https://github.com/pydata/pandas/issues/8346 2014-09-22 0:45 GMT+02:00 Jeff Reback <jeffreback(a)gmail.com>: > > > agreed > > plus hopefully can integrate some things from the hackathon > > let's try for rc1 after 1st week in oct > release 1 week later > > will post an issue > > > On Sep 21, 2014, at 6:21 PM, Joris Van den Bossche < > jorisvandenbossche(a)gmail.com> wrote: > > > > Hey all, > > > > Jeff, what do you envisage for the release schedule? The github > milestone states 30 September, which is approaching. > > > > I think we need still some time to finish all up (there are still some > issues/PRs labels with 0.15), and I also think we need a good RC period > given the huge amount of new features. > > > > Regards, > > Joris > > _______________________________________________ > > Pandas-dev mailing list > > Pandas-dev(a)python.org > > https://mail.python.org/mailman/listinfo/pandas-dev >

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Release schedule for 0.15 ?
by Joris Van den Bossche Sept. 21, 2014

Sept. 21, 2014

Hey all, Jeff, what do you envisage for the release schedule? The github milestone states 30 September, which is approaching. I think we need still some time to finish all up (there are still some issues/PRs labels with 0.15), and I also think we need a good RC period given the huge amount of new features. Regards, Joris

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