ANN: Pandas 0.14.0 Release Candidate 1
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
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
At 04:56 AM 7/11/2014, you 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/
I see it's at http://www.lfd.uci.edu/~gohlke/pythonlibs/#pandas - Ray
Ray Matthew builds Mac osx wheels for scipy stack (those are windows binaries) thanks anyhow
On Jul 11, 2014, at 12:10 PM, RayS <rays@blue-cove.com> wrote:
At 04:56 AM 7/11/2014, you 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/
I see it's at http://www.lfd.uci.edu/~gohlke/pythonlibs/#pandas
- Ray
_______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
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
participants (4)
-
Jeff -
Jeff Reback
-
Matthew Brett -
RayS