[pydata] ANN: pandas v0.21.0rc1 - RELEASE CANDIDATE


(Christie Koehler) #1

From: Tom Augspurger <>
Subject: [pydata] ANN: pandas v0.21.0rc1 - RELEASE CANDIDATE
Date: October 16, 2017 at 09:29:41 PDT
To: Tom Augspurger tom.w.augspurger@gmail.com
Reply-To: pydata@googlegroups.com

Hi,

I’m pleased to announce the availability of the first release candidate of pandas 0.21.0. Please try this RC and report any issues on the pandas issue tracker https://github.com/pandas-dev/pandas/issues/. We will be releasing 0.21.0 final in 1-2 weeks.

This is a major release from 0.20.3 and includes a number of API
changes, deprecations, 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:

Integration with Apache Parquet https://parquet.apache.org/,
including a new top-level read_parquet function and
DataFrame.to_parquet method, see here https://pandas.pydata.org/pandas-docs/version/0.21/io.html#io-parquet
New user-facing pandas.api.types.CategoricalDtype for specifying
categoricals independent of the data, see
here https://pandas.pydata.org/pandas-docs/version/0.21/whatsnew.html#whatsnew-0210-enhancements-categorical-dtype
The behavior of sum and prod on all-NaN Series/DataFrames is now
consistent and no longer depends on whether
bottleneck http://berkeleyanalytics.com/bottleneck is installed,
see here https://pandas.pydata.org/pandas-docs/version/0.21/whatsnew.html#whatsnew-0210-api-breaking-bottleneck
Compatibility fixes for pypy, see here https://pandas.pydata.org/pandas-docs/version/0.21/whatsnew.html#whatsnew-0210-pypy
Check the whatsnew https://pandas.pydata.org/pandas-docs/version/0.21/whatsnew.html for detailed changes, including backwards incompatible changes and deprecations. Please report any issues you find on the pandas issue tracker https://github.com/pandas-dev/pandas.

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

conda install -c pandas pandas=0.21.0rc1
Or via PyPI

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

Tom


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