From jeffreback at gmail.com  Sun Jul  6 20:47:36 2014
From: jeffreback at gmail.com (Jeff Reback)
Date: Sun, 6 Jul 2014 14:47:36 -0400
Subject: [Pandas-dev] 0.15.0
Message-ID: <D877B560-CF25-4D51-8D2A-41C22E60FF8E@gmail.com>

I put all 0.15 issues on 0.15.1 and created a new 0.15

do then can pull issues into 0.15 rather than going thru all of them 
which I find tedious 

so move anything u think is doable for 0.15

let's see how this works 

I can be reached on my cell 917-971-6387

From wesmckinn at gmail.com  Mon Jul  7 22:13:18 2014
From: wesmckinn at gmail.com (Wes McKinney)
Date: Mon, 7 Jul 2014 13:13:18 -0700
Subject: [Pandas-dev] will anyone be at scipy? <nt>
Message-ID: <CAJPUwMCcXAaamkaxOftGKjfMzHeNqXhueZg==waXapiYNQVRAg@mail.gmail.com>



From cpcloud at gmail.com  Mon Jul  7 22:28:42 2014
From: cpcloud at gmail.com (Phillip Cloud)
Date: Mon, 7 Jul 2014 16:28:42 -0400
Subject: [Pandas-dev] will anyone be at scipy? <nt>
In-Reply-To: <CAJPUwMCcXAaamkaxOftGKjfMzHeNqXhueZg==waXapiYNQVRAg@mail.gmail.com>
References: <CAJPUwMCcXAaamkaxOftGKjfMzHeNqXhueZg==waXapiYNQVRAg@mail.gmail.com>
Message-ID: <CAKRVfm5b6LHEXuMR6-POk7kOe36ie31bJQaSafMN4mJErWDe7A@mail.gmail.com>

I'll be there. In the boost python talk right now. I'll be at the dinner
gathering thing later too.


--
Best,
Phillip Cloud


On Mon, Jul 7, 2014 at 4:13 PM, Wes McKinney <wesmckinn at gmail.com> wrote:

>
> _______________________________________________
> Pandas-dev mailing list
> Pandas-dev at python.org
> https://mail.python.org/mailman/listinfo/pandas-dev
>
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From jorisvandenbossche at gmail.com  Wed Jul  9 10:59:58 2014
From: jorisvandenbossche at gmail.com (Joris Van den Bossche)
Date: Wed, 9 Jul 2014 10:59:58 +0200
Subject: [Pandas-dev] 0.14.1 release?
In-Reply-To: <CAKRVfm6dVJqvrWAc_6815FENFermNkWsNzgOCvQjtRfvLvbFog@mail.gmail.com>
References: <CALQtMBbYzaFgvLNwr1QUc4XHRCc_c5-KjkAbuMpVyUKqaja70A@mail.gmail.com>
 <47BA4E83-5EB0-49AE-97AB-E9E85A353F99@gmail.com>
 <CAKRVfm6dVJqvrWAc_6815FENFermNkWsNzgOCvQjtRfvLvbFog@mail.gmail.com>
Message-ID: <CALQtMBYm45MZP=U=w7FZrnT-yxMSBDgTu+K=me6QWHcEgyUqNw@mail.gmail.com>

The issues list for the 0.14 milestone seems cleared!

What is the timeline? Is there a release candidate needed?

I can do the docs like last time (if it is before the 15th).

Joris


2014-06-27 0:17 GMT+02:00 Phillip Cloud <cpcloud at gmail.com>:

> july 15 sounds good, but i think no later than that if possible
>
>
> --
> Best,
> Phillip Cloud
>
>
> On Thu, Jun 26, 2014 at 3:18 PM, Jeff Reback <jeffreback at gmail.com> wrote:
>
>> I think we need another week or 2 to clear the queue
>> maybe push to July 15?
>>
>> don't want to push too far out
>>
>> > On Jun 26, 2014, at 3:17 PM, Joris Van den Bossche <
>> jorisvandenbossche at gmail.com> wrote:
>> >
>> > What are the plans for a 0.14.1 release?
>> > We initially said end of June?
>> >
>> > Regards,
>> > Joris
>> > _______________________________________________
>> > Pandas-dev mailing list
>> > Pandas-dev at python.org
>> > https://mail.python.org/mailman/listinfo/pandas-dev
>> _______________________________________________
>> 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 Jul 11 13:56:38 2014
From: jeffreback at gmail.com (Jeff)
Date: Fri, 11 Jul 2014 04:56:38 -0700 (PDT)
Subject: [Pandas-dev] ANN: Pandas 0.14.0 Release Candidate 1
In-Reply-To: <CAHMnJKh-L26x=-3c6pPoSnqmb7fAujSH=hGQ6f-V=On9FLXQTw@mail.gmail.com>
References: <CAHMnJKh-L26x=-3c6pPoSnqmb7fAujSH=hGQ6f-V=On9FLXQTw@mail.gmail.com>
Message-ID: <78326bb6-44e0-41c4-8fbe-526b01cec592@googlegroups.com>

Matthew, we posted the release of 0.14.1 last night. Are these picked up 
and build here automatically? 
https://nipy.bic.berkeley.edu/scipy_installers/
thanks

Jeff
On Saturday, May 17, 2014 7:22:00 AM UTC-4, Jeff wrote:
>
> 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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From jeffreback at gmail.com  Fri Jul 11 15:31:15 2014
From: jeffreback at gmail.com (Jeff Reback)
Date: Fri, 11 Jul 2014 09:31:15 -0400
Subject: [Pandas-dev] ANN: pandas 0.14.1 released
Message-ID: <CAHMnJKju5ozn38VePnNRncLLVNDMid3jKY6=ja09=tWaNicqvw@mail.gmail.com>

Hello,

We are proud to announce v0.14.1 of pandas, a minor release from 0.14.0.

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 1.5 months of work with 244 commits by 45 authors encompassing 306
issues.

We recommend that all users upgrade to this version.

*Highlights:*


   - New method select_dtypes()
   <http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.select_dtypes.html#pandas.DataFrame.select_dtypes>
   to select columns based on the dtype
   - New method sem()
   <http://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.sem.html#pandas.Series.sem>
   to calculate the standard error of the mean.
   - Support for dateutil timezones (see *docs*
   <http://pandas.pydata.org/pandas-docs/stable/timeseries.html#timeseries-timezone>
   ).
   - Support for ignoring full line comments in the read_csv()
   <http://pandas.pydata.org/pandas-docs/stable/generated/pandas.read_csv.html#pandas.read_csv>text
   parser.
   - New documentation section on *Options and Settings*
   <http://pandas.pydata.org/pandas-docs/stable/options.html#options>.
   - Lots of bug fixes


For a more a full description of Whatsnew for v0.14.1 here:
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 binaries are available on PyPI:
https://pypi.python.org/pypi/pandas

windows binaries are courtesy of  Christoph Gohlke and are built on Numpy
1.8
macosx wheels will be available soon, courtesy of Matthew Brett

Please report any issues here:
https://github.com/pydata/pandas/issues


Thanks

The Pandas Development Team


Contributors to the 0.14.1 release

   - Andrew Rosenfeld
   - Andy Hayden
   - Benjamin Adams
   - Benjamin M. Gross
   - Brian Quistorff
   - Brian Wignall
   - bwignall
   - clham
   - Daniel Waeber
   - David Bew
   - David Stephens
   - DSM
   - dsm054
   - helger
   - immerrr
   - Jacob Schaer
   - jaimefrio
   - Jan Schulz
   - John David Reaver
   - John W. O?Brien
   - Joris Van den Bossche
   - jreback
   - Julien Danjou
   - Kevin Sheppard
   - K.-Michael Aye
   - Kyle Meyer
   - lexual
   - Matthew Brett
   - Matt Wittmann
   - Michael Mueller
   - Mortada Mehyar
   - onesandzeroes
   - Phillip Cloud
   - Rob Levy
   - rockg
   - sanguineturtle
   - Schaer, Jacob C
   - seth-p
   - sinhrks
   - Stephan Hoyer
   - Thomas Kluyver
   - Todd Jennings
   - TomAugspurger
   - unknown
   - yelite
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From matthew.brett at gmail.com  Fri Jul 25 02:40:43 2014
From: matthew.brett at gmail.com (Matthew Brett)
Date: Thu, 24 Jul 2014 20:40:43 -0400
Subject: [Pandas-dev] [pydata] Re: ANN: Pandas 0.14.0 Release Candidate 1
In-Reply-To: <78326bb6-44e0-41c4-8fbe-526b01cec592@googlegroups.com>
References: <CAHMnJKh-L26x=-3c6pPoSnqmb7fAujSH=hGQ6f-V=On9FLXQTw@mail.gmail.com>
 <78326bb6-44e0-41c4-8fbe-526b01cec592@googlegroups.com>
Message-ID: <CAH6Pt5oiJ77O9oG0CBy0WXnxqaF05Ah3aq+VQebwZDfwUOH2eA@mail.gmail.com>

Hi,

On Fri, Jul 11, 2014 at 7:56 AM, Jeff <jeffreback at gmail.com> wrote:
> Matthew, we posted the release of 0.14.1 last night. Are these picked up and
> build here automatically? https://nipy.bic.berkeley.edu/scipy_installers/
> thanks

Oops - you caught me when I had just gone to Cuba, and was out of
internet range.

I've built wheels here:
http://a365fff413fe338398b6-1c8a9b3114517dc5fe17b7c3f8c63a43.r19.cf2.rackcdn.com/

So you can cut me out of the loop, I've built a repo to do an
automated build of OSX wheels of pandas:

https://github.com/matthew-brett/pandas-wheels

I can just click on the travis page and rebuild the wheels so they
arrive at the directory above:

https://travis-ci.org/matthew-brett/pandas-wheels

Any interest in taking this over to the pydata organization?

Cheers,

Matthew

From jeffreback at gmail.com  Fri Jul 25 15:52:37 2014
From: jeffreback at gmail.com (Jeff)
Date: Fri, 25 Jul 2014 06:52:37 -0700 (PDT)
Subject: [Pandas-dev] ANN: Pandas 0.14.0 Release Candidate 1
In-Reply-To: <CAHMnJKh-L26x=-3c6pPoSnqmb7fAujSH=hGQ6f-V=On9FLXQTw@mail.gmail.com>
References: <CAHMnJKh-L26x=-3c6pPoSnqmb7fAujSH=hGQ6f-V=On9FLXQTw@mail.gmail.com>
Message-ID: <733e0eed-fbef-46d4-b797-c5368b280fee@googlegroups.com>

How does the build trigger? If its just a matter of clicking on something 
when released. I think we can handle that :)

On Saturday, May 17, 2014 7:22:00 AM UTC-4, Jeff wrote:
>
> 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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From matthew.brett at gmail.com  Fri Jul 25 20:06:30 2014
From: matthew.brett at gmail.com (Matthew Brett)
Date: Fri, 25 Jul 2014 14:06:30 -0400
Subject: [Pandas-dev] [pydata] Re: ANN: Pandas 0.14.0 Release Candidate 1
In-Reply-To: <733e0eed-fbef-46d4-b797-c5368b280fee@googlegroups.com>
References: <CAHMnJKh-L26x=-3c6pPoSnqmb7fAujSH=hGQ6f-V=On9FLXQTw@mail.gmail.com>
 <733e0eed-fbef-46d4-b797-c5368b280fee@googlegroups.com>
Message-ID: <CAH6Pt5rEucbz4sH+rWcePQKkftnR3n42TKbEPmQn-nC7fAVV+Q@mail.gmail.com>

Hi,

On Fri, Jul 25, 2014 at 9:52 AM, Jeff <jeffreback at gmail.com> wrote:
> How does the build trigger? If its just a matter of clicking on something
> when released. I think we can handle that :)
>

The two options are:

* I add you and whoever else does releases to my repo, and you can
trigger builds by pressing a button on the travis page for my repo, or
pushing commits to the repo
* You take over the repo, I submit a pull request to make sure you
have auth to upload to rackspace, and proceed as above.

But yes - single click -> build....

Cheers,

Matthew