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
Hi, On Saturday, May 17, 2014 4:22:00 AM UTC-7, 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.
I built some OSX wheels and put them up in this directory: https://nipy.bic.berkeley.edu/scipy_installers/ I installed the wheel and tested on a bare 10.6 machine via our buildbot: http://nipy.bic.berkeley.edu/builders/scipy-stack-2.7.6-wheel-pre/builds/1/s... http://nipy.bic.berkeley.edu/builders/scipy-stack-3.3.5-wheel-pre/builds/0/s... http://nipy.bic.berkeley.edu/builders/scipy-stack-3.4.0-wheel-pre/builds/0/s... Tests were clean apart from this Python 3 bug which Christoph Gohlke already found and fixed: https://github.com/pydata/pandas/pull/7148 If anyone has time to test these, I would be grateful: pip install -U pip pip install --pre -f https://nipy.bic.berkeley.edu/scipy_installers pandas Cheers, Matthew
On Sat, May 17, 2014 at 8:58 PM, Matthew Brett <matthew.brett@gmail.com> wrote:
Hi,
On Saturday, May 17, 2014 4:22:00 AM UTC-7, 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 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.
I built some OSX wheels and put them up in this directory:
https://nipy.bic.berkeley.edu/scipy_installers/
I installed the wheel and tested on a bare 10.6 machine via our buildbot:
http://nipy.bic.berkeley.edu/builders/scipy-stack-2.7.6-wheel-pre/builds/1/s... http://nipy.bic.berkeley.edu/builders/scipy-stack-3.3.5-wheel-pre/builds/0/s... http://nipy.bic.berkeley.edu/builders/scipy-stack-3.4.0-wheel-pre/builds/0/s...
Tests were clean apart from this Python 3 bug which Christoph Gohlke already found and fixed:
https://github.com/pydata/pandas/pull/7148
If anyone has time to test these, I would be grateful:
pip install -U pip pip install --pre -f https://nipy.bic.berkeley.edu/scipy_installers pandas
Cheers,
Matthew
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Thanks Jeff and the team for continuing to carry the torch. Very exciting. - Wes
Matthew have posted the v0.14.0 final release, see here: https://github.com/pydata/pandas/releases Not sure how you pickup the release for the mac wheels. I haven't updated PyPi yet as waiting for windows binaries first. I'd like to put your wheels up there as well. Please lmk when I can download them (and lmk if you need anything to build them). Thanks! Jeff On Saturday, May 17, 2014 11:58:09 PM UTC-4, Matthew Brett wrote:
Hi,
On Saturday, May 17, 2014 4:22:00 AM UTC-7, 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.
I built some OSX wheels and put them up in this directory:
https://nipy.bic.berkeley.edu/scipy_installers/
I installed the wheel and tested on a bare 10.6 machine via our buildbot:
http://nipy.bic.berkeley.edu/builders/scipy-stack-2.7.6-wheel-pre/builds/1/s...
http://nipy.bic.berkeley.edu/builders/scipy-stack-3.3.5-wheel-pre/builds/0/s...
http://nipy.bic.berkeley.edu/builders/scipy-stack-3.4.0-wheel-pre/builds/0/s...
Tests were clean apart from this Python 3 bug which Christoph Gohlke already found and fixed:
https://github.com/pydata/pandas/pull/7148
If anyone has time to test these, I would be grateful:
pip install -U pip pip install --pre -f https://nipy.bic.berkeley.edu/scipy_installers pandas
Cheers,
Matthew
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
Hi, On Fri, Jul 11, 2014 at 7:56 AM, Jeff <jeffreback@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... 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
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
Hi, On Fri, Jul 25, 2014 at 9:52 AM, Jeff <jeffreback@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
Matthew, I had to patch the repo (to skip some silly network tests), and it is now all green. I recall the deployment is more or less automatic? to here: https://nipy.bic.berkeley.edu/scipy_installers/?C=M;O=D On Friday, July 25, 2014 2:06:52 PM UTC-4, Matthew Brett wrote:
Hi,
On Fri, Jul 25, 2014 at 9:52 AM, Jeff <jeffr...@gmail.com <javascript:>> 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
Hi, On Sat, Nov 8, 2014 at 1:46 PM, Jeff <jeffreback@gmail.com> wrote:
Matthew,
I had to patch the repo (to skip some silly network tests), and it is now all green.
I recall the deployment is more or less automatic? to here: https://nipy.bic.berkeley.edu/scipy_installers/?C=M;O=D
Yes, thanks for fixing that up. The wheels go to http://wheels.scikit-image.org As in: http://wheels.scikit-image.org/pandas-0.15.1-cp32-cp32m-macosx_10_6_intel.ma... etc. I just curl them down and then twine them up to pypi: curl -O http://wheels.scikit-image.org/pandas-0.15.1-cp32-cp32m-macosx_10_6_intel.ma... (etc) twine upload pandas-0.15.1*whl Actually, I would rename them further to make them compatible with 10.10 - maybe like this: mv pandas-0.15.1-cp32-cp32m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.whl pandas-0.15.1-cp32-cp32m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl It's ugly, but it gets the job done until the new pip release comes out. The new pip will recognize the 10_6_intel wheels as being compatible. I'll update the pandas-wheels repo to do the renaming automatically, in the meantime, unless you have any objection. Cheers, Matthew
participants (4)
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Jeff -
Jeff Reback
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Matthew Brett -
Wes McKinney