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. 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
• Integration with the feather-format, including a new top-level pd.read_feather() and DataFrame.to_feather() method, see here
• The .ix indexer has been deprecated, see here
• Panel has been deprecated, see here
• Addition of an IntervalIndex and Interval scalar type, see here
• Improved user API when accessing levels in .groupby(), see here
• Improved support for UInt64 dtypes, see here
• A new orient for JSON serialization, orient='table', that uses the Table Schema spec, see here
• Experimental support for exporting DataFrame.style formats to Excel, see here
• Window Binary Corr/Cov operations now return a MultiIndexed DataFrame rather than a Panel, as Panel is now deprecated, see here
• Support for S3 handling now uses s3fs, see here
• Google BigQuery support now uses the pandas-gbq library, see here
• Switched the test framework to use pytest

See the Whatsnew file for more information. Please report any issues here.

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