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 <stonebi...@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...@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+unsubscr...@googlegroups.com. > For more options, visit https://groups.google.com/d/optout.
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