From jeffreback at gmail.com  Fri Mar 13 16:33:36 2015
From: jeffreback at gmail.com (Jeff Reback)
Date: Fri, 13 Mar 2015 11:33:36 -0400
Subject: [Pandas-dev] Pandas v0.16.0 release candidate 1
Message-ID: <CAHMnJKiYiMAf=x5aKmhAsOaaRSaFeHmWTFgyvye7cC_C8U9Ovg@mail.gmail.com>

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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From jeffreback at gmail.com  Thu Mar 19 21:42:34 2015
From: jeffreback at gmail.com (Jeff Reback)
Date: Thu, 19 Mar 2015 16:42:34 -0400
Subject: [Pandas-dev] 0.16.0
Message-ID: <E0A791F3-0519-4546-B1CD-EDAA34ACDB28@gmail.com>


going to do the release commit tomorrow - any objections?

joris I will ping u after to update the docs and such




From jorisvandenbossche at gmail.com  Fri Mar 20 12:52:46 2015
From: jorisvandenbossche at gmail.com (Joris Van den Bossche)
Date: Fri, 20 Mar 2015 12:52:46 +0100
Subject: [Pandas-dev] 0.16.0
In-Reply-To: <E0A791F3-0519-4546-B1CD-EDAA34ACDB28@gmail.com>
References: <E0A791F3-0519-4546-B1CD-EDAA34ACDB28@gmail.com>
Message-ID: <CALQtMBbtMNtjty7_=rVJfG7PCTLVBoOyhg32-Po4vokxmboeQw@mail.gmail.com>

Tomorrow, I don't have time, but on sunday I can do the doc builds (and
will also try to fix the accessor doc building thing as well)

For the release itself, do you know if eg statsmodels and seaborn (as large
libraries that depend on pandas) are tested against the rc? (because I
don't think they test against master in their travis tests)

Joris


2015-03-19 21:42 GMT+01:00 Jeff Reback <jeffreback at gmail.com>:

>
> going to do the release commit tomorrow - any objections?
>
> joris I will ping u after to update the docs and such
>
>
>
> _______________________________________________
> Pandas-dev mailing list
> Pandas-dev at python.org
> https://mail.python.org/mailman/listinfo/pandas-dev
>
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From jeffreback at gmail.com  Fri Mar 20 13:43:20 2015
From: jeffreback at gmail.com (Jeff Reback)
Date: Fri, 20 Mar 2015 08:43:20 -0400
Subject: [Pandas-dev] 0.16.0
In-Reply-To: <CALQtMBbtMNtjty7_=rVJfG7PCTLVBoOyhg32-Po4vokxmboeQw@mail.gmail.com>
References: <E0A791F3-0519-4546-B1CD-EDAA34ACDB28@gmail.com>
 <CALQtMBbtMNtjty7_=rVJfG7PCTLVBoOyhg32-Po4vokxmboeQw@mail.gmail.com>
Message-ID: <422516D2-5A80-470E-817A-0CC155659CF6@gmail.com>



Ok I mentioned to sm/seaborn

will wait till Sunday then 

> On Mar 20, 2015, at 7:52 AM, Joris Van den Bossche <jorisvandenbossche at gmail.com> wrote:
> 
> Tomorrow, I don't have time, but on sunday I can do the doc builds (and will also try to fix the accessor doc building thing as well)
> 
> For the release itself, do you know if eg statsmodels and seaborn (as large libraries that depend on pandas) are tested against the rc? (because I don't think they test against master in their travis tests)
> 
> Joris
> 
> 
> 2015-03-19 21:42 GMT+01:00 Jeff Reback <jeffreback at gmail.com>:
>> 
>> going to do the release commit tomorrow - any objections?
>> 
>> joris I will ping u after to update the docs and such
>> 
>> 
>> 
>> _______________________________________________
>> Pandas-dev mailing list
>> Pandas-dev at python.org
>> https://mail.python.org/mailman/listinfo/pandas-dev
> 
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From jeffreback at gmail.com  Mon Mar 23 11:11:01 2015
From: jeffreback at gmail.com (Jeff Reback)
Date: Mon, 23 Mar 2015 06:11:01 -0400
Subject: [Pandas-dev] ANN: pandas 0.16.0 released
Message-ID: <CAHMnJKhQ8OXF0NjYhBSu=Vvgbawd2qMEwW7HEPJvVfC0EWGEBg@mail.gmail.com>

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
   <http://pandas.pydata.org/pandas-docs/stable/whatsnew.html#whatsnew-0160-enhancements-assign>
   - *Series.to_coo/from_coo* methods to interact with *scipy.sparse*, see
   here
   <http://pandas.pydata.org/pandas-docs/stable/whatsnew.html#whatsnew-0160-enhancements-sparse>
   - Backwards incompatible change to *Timedelta* to conform the
*.seconds* attribute
   with *datetime.timedelta*, see here
   <http://pandas.pydata.org/pandas-docs/stable/whatsnew.html#whatsnew-0160-api-breaking-timedelta>
   - Changes to the *.loc* slicing API to conform with the behavior of *.ix*
   see here
   <http://pandas.pydata.org/pandas-docs/stable/whatsnew.html#whatsnew-0160-api-breaking-indexing>
   - Changes to the default for ordering in the *Categorical* constructor,
   see here
   <http://pandas.pydata.org/pandas-docs/stable/whatsnew.html#whatsnew-0160-api-breaking-categorical>
   - Enhancement to the *.str* accessor to make string operations easier,
   see here
   <http://pandas.pydata.org/pandas-docs/stable/whatsnew.html#whatsnew-0160-enhancements-string>
   - The *pandas.tools.rplot*, *pandas.sandbox.qtpandas* and
*pandas.rpy* modules
   are deprecated.
   - We refer users to external packages like seaborn
   <http://stanford.edu/~mwaskom/software/seaborn/>, pandas-qt
   <https://github.com/datalyze-solutions/pandas-qt> and rpy2
   <http://rpy.sourceforge.net/> for similar or equivalent functionality,
   see here for more detail
   <http://pandas.pydata.org/pandas-docs/stable/whatsnew.html#deprecations>



See a full description of the Whatsnew for v0.16.0
<http://pandas.pydata.org/pandas-docs/stable/whatsnew.html>


*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
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From pmhobson at gmail.com  Fri Mar 13 13:45:35 2015
From: pmhobson at gmail.com (Paul Hobson)
Date: Fri, 13 Mar 2015 17:45:35 -0000
Subject: [Pandas-dev] [pydata] Pandas v0.16.0 release candidate 1
In-Reply-To: <CAHMnJKiYiMAf=x5aKmhAsOaaRSaFeHmWTFgyvye7cC_C8U9Ovg@mail.gmail.com>
References: <CAHMnJKiYiMAf=x5aKmhAsOaaRSaFeHmWTFgyvye7cC_C8U9Ovg@mail.gmail.com>
Message-ID: <CADT3MEDhh5z13ASidmMd66FpgoLR0fbNCBT4JoZKxQm2N2N_4g@mail.gmail.com>

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 <jeffreback at 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
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