Mailman 3 October 2015 - Pandas-dev

ANN: pandas-datareader v0.2.0 released
by David Stephens Nov. 28, 2015

Nov. 28, 2015

Hi, I'm happy to announce v0.2.0 of pandas-datareader. This is a major release from v0.1.1 and includes new features and a number of bug fixes. *What is it:* *pandas-datareader* is a Python package that provides remote data access to financial data. *pandas-datareader* replaces pandas.io.data and pandas.io.wb in pandas versions v0.17.0+. *How to get it:* Install via pip (conda install coming soon) pip install pandas-datareader *How to use it:* from pandas.io import data, wb # becomes from pandas_datareader import data, wb More information available in the documentation here <https://pandas-datareader.readthedocs.org/en/latest/>. *Release highlights include:* *New features* - Added latitude and longitude to output of wb.get_countries #47 <https://github.com/pydata/pandas-datareader/pull/47> - Extended DataReader to fetch dividends and stock splits from Yahoo #45 <https://github.com/pydata/pandas-datareader/pull/45>. - Added get_available_datasets to famafrench #56 <https://github.com/pydata/pandas-datareader/pull/56>. - DataReader now supports OECD data sources #101 <https://github.com/pydata/pandas-datareader/pull/101>. *Backwards incompatible API changes* - Fama French indexes are now pandas.PeriodIndex for annual and monthly data, and pandas.DatetimeIndex otherwise #56 <https://github.com/pydata/pandas-datareader/pull/56>. *Bug Fixes* - Update Fama-French URL #53 <https://github.com/pydata/pandas-datareader/pull/53> - Fixed bug where get_quote_yahoo would fail if a company name had a comma #85 <https://github.com/pydata/pandas-datareader/pull/85> *Issues:* Please report any issues on our issue tracker <https://github.com/pydata/pandas-datareader/issues>. Thanks to all who made this release happen. Dave *Thanks to all of the contributors:* - 0x0L - bashtage - brotchie - briancappello - davidastephens - evanpw - femtotrader - hayd - jorisvandenbossche - jreback - Kevin Sheppard - sinhrks - stared - terrytangyuan

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ANN: pandas v0.17.0 released
by Jeff Reback Oct. 10, 2015

Oct. 10, 2015

Hi, We are proud to announce v0.17.0 of pandas. This is a major release from 0.16.2 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. This was a release of 4 months with 515 commits by 112 authors encompassing 233 issues and 362 pull-requests. We recommend that all users upgrade to this version. *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. *Highlights*: - Release the Global Interpreter Lock (GIL) on some cython operations, see here <http://pandas.pydata.org/pandas-docs/version/0.17.0/whatsnew.html#whatsnew-…> - Plotting methods are now available as attributes of the .plot accessor, see here <http://pandas.pydata.org/pandas-docs/version/0.17.0/whatsnew.html#whatsnew-…> - The sorting API has been revamped to remove some long-time inconsistencies, see here <http://pandas.pydata.org/pandas-docs/version/0.17.0/whatsnew.html#whatsnew-…> - Support for a datetime64[ns] with timezones as a first-class dtype, see here <http://pandas.pydata.org/pandas-docs/version/0.17.0/whatsnew.html#whatsnew-…> - The default for to_datetime will now be to raise when presented with unparseable formats, previously this would return the original input, see here <http://pandas.pydata.org/pandas-docs/version/0.17.0/whatsnew.html#whatsnew-…> - The default for dropna in HDFStore has changed to False, to store by default all rows even if they are all NaN, see here <http://pandas.pydata.org/pandas-docs/version/0.17.0/whatsnew.html#whatsnew-…> - Support for Series.dt.strftime to generate formatted strings for datetime-likes, see here <http://pandas.pydata.org/pandas-docs/version/0.17.0/whatsnew.html#whatsnew-…> - Development installed versions of pandas will now have PEP440 compliant version strings GH9518 <https://github.com/pydata/pandas/issues/9518> - Development support for benchmarking with the Air Speed Velocity library GH8316 <https://github.com/pydata/pandas/pull/8316> - Support for reading SAS xport files, see here <http://pandas.pydata.org/pandas-docs/version/0.17.0/whatsnew.html#whatsnew-…> - Removal of the automatic TimeSeries broadcasting, deprecated since 0.8.0, see here <http://pandas.pydata.org/pandas-docs/version/0.17.0/whatsnew.html#whatsnew-…> - Display format with plain text can optionally align with Unicode East Asian Width, see here <http://pandas.pydata.org/pandas-docs/version/0.17.0/whatsnew.html#whatsnew-…> - Compatibility with Python 3.5 GH11097 <https://github.com/pydata/pandas/issues/11097> - Compatibility with matplotlib 1.5.0 GH11111 <https://github.com/pydata/pandas/issues/11111> See the Whatsnew <http://pandas.pydata.org/pandas-docs/version/0.17.0/whatsnew.html> for much more information and the full Documentation <http://pandas.pydata.org/pandas-docs/stable/> link. *How to get it:* Source tarballs, windows wheels, macosx wheels are available on PyPI <https://pypi.python.org/pypi/pandas> - note that currently PyPi is not accepting 3.5 wheels. Installation via conda is: - conda install pandas windows wheels are courtesy of Christoph Gohlke and are built on Numpy 1.9 macosx wheels are courtesy of Matthew Brett *Issues:* Please report any issues on our issue tracker <https://github.com/pydata/pandas/issues>: Thanks to all who made this release happen. It is a very large release! Jeff *Thanks to all of the contributors* - Alex Rothberg - Andrea Bedini - Andrew Rosenfeld - Andy Li - Anthonios Partheniou - Artemy Kolchinsky - Bernard Willers - Charlie Clark - Chris - Chris Whelan - Christoph Gohlke - Christopher Whelan - Clark Fitzgerald - Clearfield Christopher - Dan Ringwalt - Daniel Ni - Data & Code Expert Experimenting with Code on Data - David Cottrell - David John Gagne - David Kelly - ETF - Eduardo Schettino - Egor - Egor Panfilov - Evan Wright - Frank Pinter - Gabriel Araujo - Garrett-R - Gianluca Rossi - Guillaume Gay - Guillaume Poulin - Harsh Nisar - Ian Henriksen - Ian Hoegen - Jaidev Deshpande - Jan Rudolph - Jan Schulz - Jason Swails - Jeff Reback - Jonas Buyl - Joris Van den Bossche - Joris Vankerschaver - Josh Levy-Kramer - Julien Danjou - Ka Wo Chen - Karrie Kehoe - Kelsey Jordahl - Kerby Shedden - Kevin Sheppard - Lars Buitinck - Leif Johnson - Luis Ortiz - Mac - Matt Gambogi - Matt Savoie - Matthew Gilbert - Maximilian Roos - Michelangelo D'Agostino - Mortada Mehyar - Nick Eubank - Nipun Batra - Ondřej Čertík - Phillip Cloud - Pratap Vardhan - Rafal Skolasinski - Richard Lewis - Rinoc Johnson - Rob Levy - Robert Gieseke - Safia Abdalla - Samuel Denny - Saumitra Shahapure - Sebastian Pölsterl - Sebastian Rubbert - Sheppard, Kevin - Sinhrks - Siu Kwan Lam - Skipper Seabold - Spencer Carrucciu - Stephan Hoyer - Stephen Hoover - Stephen Pascoe - Terry Santegoeds - Thomas Grainger - Tjerk Santegoeds - Tom Augspurger - Vincent Davis - Winterflower - Yaroslav Halchenko - Yuan Tang (Terry) - agijsberts - ajcr - behzad nouri - cel4 - cyrusmaher - davidovitch - ganego - jreback - juricast - larvian - maximilianr - msund - rekcahpassyla - robertzk - scls19fr - seth-p - sinhrks - springcoil - terrytangyuan - tzinckgraf

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Re: [Pandas-dev] [pydata] ANN: pandas v0.17.0rc2 - RELEASE CANDIDATE 2
by Jeff Reback Oct. 6, 2015

Oct. 6, 2015

it should be exactly the same (they are going to release soon as well I think) - with an updated version > On Oct 5, 2015, at 2:25 PM, Big Stone <stonebig34(a)gmail.com> wrote: > > hi, > > on pypi, pandas_datareader (0.1.1) is dated from April 10th. > > Is it up-to-date with pandas 0.17rc2 ? > >> On Sunday, October 4, 2015 at 7:36:26 AM UTC+2, Matthew Brett wrote: >> Hi, >> >> On Sat, Oct 3, 2015 at 2:33 PM, Jeff Reback <jeffr...(a)gmail.com> wrote: >> > Hi, >> > >> > I'm pleased to announce the availability of the second release candidate of >> > Pandas 0.17.0. >> > Please try this RC and report any issues here: Pandas Issues >> > We will be releasing officially on October 9. >> > >> > **RELEASE CANDIDATE 2** >> > >> > From RC 1 we have: >> > >> > compat for Python 3.5 >> > compat for matplotlib 1.5.0 >> > .convert_objects is now restored to the original, and is deprecated >> > >> > This is a major release from 0.16.2 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: >> > >> > Release the Global Interpreter Lock (GIL) on some cython operations, see >> > here >> > Plotting methods are now available as attributes of the .plot accessor, see >> > here >> > The sorting API has been revamped to remove some long-time inconsistencies, >> > see here >> > Support for a datetime64[ns] with timezones as a first-class dtype, see here >> > The default for to_datetime will now be to raise when presented with >> > unparseable formats, previously this would return the original input, see >> > here >> > The default for dropna in HDFStore has changed to False, to store by default >> > all rows even if they are all NaN, see here >> > Support for Series.dt.strftime to generate formatted strings for >> > datetime-likes, see here >> > Development installed versions of pandas will now have PEP440 compliant >> > version strings GH9518 >> > Development support for benchmarking with the Air Speed Velocity library >> > GH8316 >> > Support for reading SAS xport files, see here >> > Removal of the automatic TimeSeries broadcasting, deprecated since 0.8.0, >> > see here >> > Display format with plain text can optionally align with Unicode East Asian >> > Width, see here >> > Compatibility with Python 3.5 GH11097 >> > Compatibility with matplotlib 1.5.0 GH11111 >> > >> > >> > See the Whatsnew for much more information. >> > >> > Best way to get this is to install via conda from our development channel. >> > Builds for osx-64,linux-64,win-64 for Python 2.7, Python 3.4, and Python 3.5 >> > (for osx/linux) are all available. >> > >> > conda install pandas -c pandas >> >> I built OSX wheels for Pythons 2.7, 3.4, 3.5. To test: >> >> pip install --pre -f http://wheels.scipy.org pandas >> >> There were some test failures for Python 3.3 - issue here: >> >> https://github.com/pydata/pandas/issues/11232 >> >> Cheers, >> >> Matthew > > -- > 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 email to pydata+unsubscribe(a)googlegroups.com. > For more options, visit https://groups.google.com/d/optout.

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ANN: pandas v0.17.0rc2 - RELEASE CANDIDATE 2
by Jeff Reback Oct. 4, 2015

Oct. 4, 2015

Hi, I'm pleased to announce the availability of the second release candidate of Pandas 0.17.0. Please try this RC and report any issues here: Pandas Issues <https://github.com/pydata/pandas/issues/10848> We will be releasing officially on October 9. **RELEASE CANDIDATE 2** >From RC 1 we have: - compat for Python 3.5 - compat for matplotlib 1.5.0 - .convert_objects is now restored to the original, and is deprecated This is a major release from 0.16.2 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: - Release the Global Interpreter Lock (GIL) on some cython operations, see here <http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0170…> - Plotting methods are now available as attributes of the .plot accessor, see here <http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0170…> - The sorting API has been revamped to remove some long-time inconsistencies, see here <http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0170…> - Support for a datetime64[ns] with timezones as a first-class dtype, see here <http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0170…> - The default for to_datetime will now be to raise when presented with unparseable formats, previously this would return the original input, see here <http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0170…> - The default for dropna in HDFStore has changed to False, to store by default all rows even if they are all NaN, see here <http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0170…> - Support for Series.dt.strftime to generate formatted strings for datetime-likes, see here <http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0170…> - Development installed versions of pandas will now have PEP440 compliant version strings GH9518 <https://github.com/pydata/pandas/issues/9518> - Development support for benchmarking with the Air Speed Velocity library GH8316 <https://github.com/pydata/pandas/pull/8316> - Support for reading SAS xport files, see here <http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0170…> - Removal of the automatic TimeSeries broadcasting, deprecated since 0.8.0, see here <http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0170…> - Display format with plain text can optionally align with Unicode East Asian Width, see here <http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0170…> - Compatibility with Python 3.5 GH11097 <https://github.com/pydata/pandas/issues/11097> - Compatibility with matplotlib 1.5.0 GH11111 <https://github.com/pydata/pandas/issues/11111> 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-pan…> from our development channel. Builds for osx-64,linux-64,win-64 for Python 2.7, Python 3.4, and Python 3.5 (for osx/linux) are all available. conda install pandas -c pandas Thanks to all who made this release happen. It is a very large release! Jeff

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