[Pandas-dev] Fwd: ANN: pandas v0.20.0rc1 - RELEASE CANDIDATE

[Tom Augspurger]

Hi,

I'm pleased to announce the availability of the first release candidate of
pandas 0.20.0. *Please try this RC and report any issues on the pandas
issue tracker <https://github.com/pandas-dev/pandas/issues/>. We will be
releasing officially in 1-2 weeks.*

RELEASE CANDIDATE 1

This is a major release from 0.19.2 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:

   - new .agg() API for Series/DataFrame similar to the
   groupby-rolling-resample API's, see here
   <http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0200-enhancements-agg>
   - Integration with the feather-format, including a new top-level
   pd.read_feather() and DataFrame.to_feather() method, see here
   <http://pandas-docs.github.io/pandas-docs-travis/io.html#io-feather>
   - The .ix indexer has been deprecated, see here
   <http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0200-api-breaking-deprecate-ix>
   - Panel has been deprecated, see here
   <http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0200-api-breaking-deprecate-panel>
   - Addition of an IntervalIndex and Interval scalar type, see here
   <http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0200-enhancements-intervalindex>
   - Improved user API when accessing levels in .groupby(), see here
   <http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0200-enhancements-groupby-access>
   - Improved support for UInt64 dtypes, see here
   <http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0200-enhancements-uint64-support>
   - A new orient for JSON serialization, orient='table', that uses the
   Table Schema spec, see here
   <http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0200-enhancements-table-schema>
   - Experimental support for exporting DataFrame.style formats to Excel,
   see here
   <http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0200-enhancements-style-excel>
   - Window Binary Corr/Cov operations now return a MultiIndexed
DataFrame rather
   than a Panel, as Panel is now deprecated, see here
   <http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0200-api-breaking-rolling-pairwise>
   - Support for S3 handling now uses s3fs, see here
   <http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0200-api-breaking-s3>
   - Google BigQuery support now uses the pandas-gbq library, see here
   <http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0200-api-breaking-gbq>
   - Switched the test framework to use pytest

See the Whatsnew
<http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html> file for
more information. Please report any issues here
<https://github.com/pydata/pandas/issues/>.

The release candidate can be installed with conda from our development
channel (builds for osx-64, linux-64 and win-64 for Python 2.7, Python 3.5,
and Python 3.6 are all available):

conda install -c pandas pandas=0.20.0rc1

Or via PyPI

pip install --upgrade pip setuptools
pip install --pre --upgrade --upgrade-strategy=only-if-needed pandas


Tom
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