Mailman 3 April 2017 - Pandas-dev

Fwd: ANN: pandas v0.20.0rc1 - RELEASE CANDIDATE
by Tom Augspurger April 23, 2017

April 23, 2017

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…> - 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…> - Panel has been deprecated, see here <http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0200…> - Addition of an IntervalIndex and Interval scalar type, see here <http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0200…> - Improved user API when accessing levels in .groupby(), see here <http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0200…> - Improved support for UInt64 dtypes, see here <http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0200…> - 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…> - Experimental support for exporting DataFrame.style formats to Excel, see here <http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0200…> - 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…> - Support for S3 handling now uses s3fs, see here <http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0200…> - Google BigQuery support now uses the pandas-gbq library, see here <http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0200…> - 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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Deprecation of using a dict in groupby().agg({...}) to rename resulting columns
by Joris Van den Bossche April 12, 2017

April 12, 2017

Hi all, As a heads up, we are deprecating the use of a dictionary in the agg method on groupby/resample/rolling objects. Basic example: In [1]: df = pd.DataFrame({'A': [1, 1, 1, 2, 2], ...: 'B': range(5), ...: 'C':range(5)}) In [3]: df.groupby('A').B.agg({'foo': 'count'}) Out[3]: foo A 1 3 2 2 The above will be deprecated (and removed in a future version). The documentation added in https://github.com/pandas-dev/pandas/pull/15931 gives a more detailed explanation of the reasoning, but basically it is to clean up the API: now you can use dicts both to specify a aggregation function for a specific column (for dataframes) as to rename the result (series, or dataframes with nested dict), which is a confusing double use of dicts. The PR will be merged shortly, but the 0.20 release is still a few weeks off, so certainly still time to give feedback. Which is certainly welcome! Regards, Joris

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Fwd: Doodle: Link for poll "Pandas Dev Meeting"
by Jeff Reback April 6, 2017

April 6, 2017

If you have not already responded and want to participate, please do so. Jeff ---------- Forwarded message ---------- From: Doodle <mailer(a)doodle.com> Date: Mon, Mar 27, 2017 at 3:21 PM Subject: Doodle: Link for poll "Pandas Dev Meeting" To: Jeff Reback <jeffreback(a)gmail.com> Hi Jeff Reback, You have initiated a poll "Pandas Dev Meeting" at Doodle. The link to your poll is: http://doodle.com/poll/acfmznfqzrhw5mhp Share this link with all those who should cast their votes. Do not forget to cast your vote, too. (If you did not initiate this poll, somebody must accidentally have used your e-mail address; simply ignore this e-mail, please.) - Your Doodle Team ---- Doodle AG, Werdstrasse 21, 8021 Zürich

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