[Numpy-discussion] ANN: pandas v0.18.0rc1 - RELEASE CANDIDATE

[Jeff Reback]

Hi,

I'm pleased to announce the availability of the first release candidate of
Pandas 0.18.0.
Please try this RC and report any issues here: Pandas Issues
<https://github.com/pydata/pandas/issues>
We will be releasing officially in 1-2 weeks or so.

**RELEASE CANDIDATE 1**

This is a major release from 0.17.1 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:

- pandas >= 0.18.0 will no longer support compatibility with Python
version 2.6 GH7718 <https://github.com/pydata/pandas/issues/7718> or
version 3.3 GH11273 <https://github.com/pydata/pandas/issues/11273>
- Moving and expanding window functions are now methods on Series and
DataFrame similar to .groupby like objects, see here
<http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0180-enhancements-moments>
.
- Adding support for a RangeIndex as a specialized form of the
Int64Index for
memory savings, see here
<http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0180-enhancements-rangeindex>
.
- API breaking .resample changes to make it more .groupby like, see here
<http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0180-breaking-resample>
- Removal of support for positional indexing with floats, which was
deprecated since 0.14.0. This will now raise a TypeError, see here
<http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0180-float-indexers>
- The .to_xarray() function has been added for compatibility with the xarray
package <http://xarray.pydata.org/en/stable/> see here
<http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0180-enhancements-xarray>
.
- Addition of the .str.extractall() method
<http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0180-enhancements-extractall>,
and API changes to the the .str.extract() method
<http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0180-enhancements-extract>,
and the .str.cat() method
<http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0180-enhancements-strcat>
- pd.test() top-level nose test runner is available GH4327
<https://github.com/pydata/pandas/issues/4327>

See the Whatsnew
<http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html> for much
more information.

Best way to get this is to install via conda
<http://pandas-docs.github.io/pandas-docs-travis/install.html#installing-pandas-with-anaconda>
from
our development channel. Builds for osx-64,linux-64,win-64 for Python 2.7
and Python 3.5 are all available.

conda install pandas=v0.18.0rc1 -c pandas

Thanks to all who made this release happen. It is a very large release!

Jeff

[Derek Homeier]

I'm pleased to announce the availability of the first release candidate of Pandas 0.18.0.
Please try this RC and report any issues here: Pandas Issues
We will be releasing officially in 1-2 weeks or so.

Thanks, looking forward to give this a try!
Do you have a download link to the source for non-Conda users and packagers?
Finding anything in the github source tarball repositories without having the exact
path seems hopeless.

Derek

[Jeff Reback]

https://github.com/pydata/pandas/releases/tag/v0.18.0rc1

On Mon, Feb 15, 2016 at 12:51 PM, Derek Homeier <

Post by Jeff Reback
I'm pleased to announce the availability of the first release candidate

of Pandas 0.18.0.

Post by Jeff Reback
Please try this RC and report any issues here: Pandas Issues
We will be releasing officially in 1-2 weeks or so.

Thanks, looking forward to give this a try!
Do you have a download link to the source for non-Conda users and packagers?
Finding anything in the github source tarball repositories without having the exact
path seems hopeless.
Derek

[Derek Homeier]

Post by Jeff Reback
https://github.com/pydata/pandas/releases/tag/v0.18.0rc1

Ah, think I forgot about the ‘releases’ pages.
Built on OS X 10.10 + 10.11 with python 2.7.11, 3.4.4 and 3.5.1.
17 errors in the test suite + 1 failure with python2.7 only; I can send
you details on the errors if desired, the majority seems to be generic
to a urllib problem with openssl on OS X anyway.

Thanks for the good work

Derek

[Jeff]

These are pre-releases. In other words, we would want the community to test
out before an official release, and see if there are any show stoppers. The
docs are setup for the official releases. These are not put into official
channels at all (that is the point), e.g. not on PyPi, nor in the conda
main channels. Only official releases will go there.

Generally we will try to do release candidates before major changes, but
not before minor changes.

So the official release of 0.18.0 has not happened yet! (in fact going to
do a v0.18.0rc2 next week).

We would love for you to test out!

Jeff

I hope this doesn't come across as a trivial, semantical question, but...
The initial releases of the last 2 or so versions have been labelled as
"release candidates" but still say "We recommend that all
users upgrade to this version."
So this is a little confusing to me for using pandas in a production
environment. "Release candidate" seems to suggest that you should wait for
0.18.1, but the note unambiguously says not to wait. So which
interpretation is recommended for a production environment?

Post by Jeff Reback
Hi,
I'm pleased to announce the availability of the first release candidate
of Pandas 0.18.0.
Please try this RC and report any issues here: Pandas Issues
<https://github.com/pydata/pandas/issues>
We will be releasing officially in 1-2 weeks or so.
**RELEASE CANDIDATE 1**
This is a major release from 0.17.1 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.
- pandas >= 0.18.0 will no longer support compatibility with Python
version 2.6 GH7718 <https://github.com/pydata/pandas/issues/7718> or
version 3.3 GH11273 <https://github.com/pydata/pandas/issues/11273>
- Moving and expanding window functions are now methods on Series and
DataFrame similar to .groupby like objects, see here
<http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0180-enhancements-moments>
.
- Adding support for a RangeIndex as a specialized form of the
Int64Index for memory savings, see here
<http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0180-enhancements-rangeindex>
.
- API breaking .resample changes to make it more .groupby like, see here
<http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0180-breaking-resample>
- Removal of support for positional indexing with floats, which was
deprecated since 0.14.0. This will now raise a TypeError, see here
<http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0180-float-indexers>
- The .to_xarray() function has been added for compatibility with the xarray
package <http://xarray.pydata.org/en/stable/> see here
<http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0180-enhancements-xarray>
.
- Addition of the .str.extractall() method
<http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0180-enhancements-extractall>,
and API changes to the the .str.extract() method
<http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0180-enhancements-extract>,
and the .str.cat() method
<http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0180-enhancements-strcat>
- pd.test() top-level nose test runner is available GH4327
<https://github.com/pydata/pandas/issues/4327>
See the Whatsnew
<http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html> for much
more information.
Best way to get this is to install via conda
<http://pandas-docs.github.io/pandas-docs-travis/install.html#installing-pandas-with-anaconda> from
our development channel. Builds for osx-64,linux-64,win-64 for Python 2.7
and Python 3.5 are all available.
conda install pandas=v0.18.0rc1 -c pandas
Thanks to all who made this release happen. It is a very large release!
Jeff

[Jeff]

So you are probably reading sas7bdat, which was put in AFTER 0.18.0rc1 was
cut (if you are reading xport format then you are good to go), otherwise
you may want to wait a bit for 0.18.0rc2.

OK, thanks, I got it. Although... I would consider pandas.pydata.org to
be a common end user gateway and if one starts there they will read "We
recommend that *all *users upgrade to this version." And then if they
scroll down a short distance they will see a single line instruction for
installing via conda: "conda install pandas=v0.18.0rc1 -c pandas".
And also somewhat confusing to me about pandas.pydata.org is that looking
to the right, you have a choice of RC, dev, and previous releases, but
nothing that says something like "current, stable release".
Anyways.... quite possibly this is confusing only to me, and not others,
but I thought I'd mention it just in case. FWIW.
I've now installed 0.18.0rc1 and will try to test out some of the newer
features. I'm really interested to see how well the SAS reader works (i.e.
how fast). I hate SAS myself, but this would be a really, really nice
feature for my organization and likely increase adoption of python & pandas.

Post by Jeff
These are pre-releases. In other words, we would want the community to
test out before an official release, and see if there are any show
stoppers. The docs are setup for the official releases. These are not put
into official channels at all (that is the point), e.g. not on PyPi, nor in
the conda main channels. Only official releases will go there.
Generally we will try to do release candidates before major changes, but
not before minor changes.
So the official release of 0.18.0 has not happened yet! (in fact going to
do a v0.18.0rc2 next week).
We would love for you to test out!
Jeff

I hope this doesn't come across as a trivial, semantical question, but...
The initial releases of the last 2 or so versions have been labelled as
"release candidates" but still say "We recommend that all
users upgrade to this version."
So this is a little confusing to me for using pandas in a production
environment. "Release candidate" seems to suggest that you should wait for
0.18.1, but the note unambiguously says not to wait. So which
interpretation is recommended for a production environment?

Post by Jeff Reback
Hi,
I'm pleased to announce the availability of the first release candidate
of Pandas 0.18.0.
Please try this RC and report any issues here: Pandas Issues
<https://github.com/pydata/pandas/issues>
We will be releasing officially in 1-2 weeks or so.
**RELEASE CANDIDATE 1**
This is a major release from 0.17.1 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.
- pandas >= 0.18.0 will no longer support compatibility with Python
version 2.6 GH7718 <https://github.com/pydata/pandas/issues/7718> or
version 3.3 GH11273 <https://github.com/pydata/pandas/issues/11273>
- Moving and expanding window functions are now methods on Series
and DataFrame similar to .groupby like objects, see here
<http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0180-enhancements-moments>
.
- Adding support for a RangeIndex as a specialized form of the
Int64Index for memory savings, see here
<http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0180-enhancements-rangeindex>
.
- API breaking .resample changes to make it more .groupby like, see here
<http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0180-breaking-resample>
- Removal of support for positional indexing with floats, which was
deprecated since 0.14.0. This will now raise a TypeError, see here
<http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0180-float-indexers>
- The .to_xarray() function has been added for compatibility with
the xarray package <http://xarray.pydata.org/en/stable/> see here
<http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0180-enhancements-xarray>
.
- Addition of the .str.extractall() method
<http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0180-enhancements-extractall>,
and API changes to the the .str.extract() method
<http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0180-enhancements-extract>,
and the .str.cat() method
<http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0180-enhancements-strcat>
- pd.test() top-level nose test runner is available GH4327
<https://github.com/pydata/pandas/issues/4327>
See the Whatsnew
<http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html> for
much more information.
Best way to get this is to install via conda
<http://pandas-docs.github.io/pandas-docs-travis/install.html#installing-pandas-with-anaconda> from
our development channel. Builds for osx-64,linux-64,win-64 for Python 2.7
and Python 3.5 are all available.
conda install pandas=v0.18.0rc1 -c pandas
Thanks to all who made this release happen. It is a very large release!
Jeff