[Pandas-dev] ANN: pandas 0.14.1 released
Jeff Reback
jeffreback at gmail.com
Fri Jul 11 15:31:15 CEST 2014
Hello,
We are proud to announce v0.14.1 of pandas, a minor release from 0.14.0.
This release includes a small number of API changes, several new features,
enhancements, and performance improvements along with a large number of bug
fixes.
This was 1.5 months of work with 244 commits by 45 authors encompassing 306
issues.
We recommend that all users upgrade to this version.
*Highlights:*
- New method select_dtypes()
<http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.select_dtypes.html#pandas.DataFrame.select_dtypes>
to select columns based on the dtype
- New method sem()
<http://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.sem.html#pandas.Series.sem>
to calculate the standard error of the mean.
- Support for dateutil timezones (see *docs*
<http://pandas.pydata.org/pandas-docs/stable/timeseries.html#timeseries-timezone>
).
- Support for ignoring full line comments in the read_csv()
<http://pandas.pydata.org/pandas-docs/stable/generated/pandas.read_csv.html#pandas.read_csv>text
parser.
- New documentation section on *Options and Settings*
<http://pandas.pydata.org/pandas-docs/stable/options.html#options>.
- Lots of bug fixes
For a more a full description of Whatsnew for v0.14.1 here:
http://pandas.pydata.org/pandas-docs/stable/whatsnew.html
*What is it:*
*pandas* is a Python package providing fast, flexible, and expressive data
structures designed to make working with “relational” or “labeled” data both
easy and intuitive. It aims to be the fundamental high-level building block
for
doing practical, real world data analysis in Python. Additionally, it has
the
broader goal of becoming the most powerful and flexible open source data
analysis / manipulation tool available in any language.
Documentation:
http://pandas.pydata.org/pandas-docs/stable/
Source tarballs, windows binaries are available on PyPI:
https://pypi.python.org/pypi/pandas
windows binaries are courtesy of Christoph Gohlke and are built on Numpy
1.8
macosx wheels will be available soon, courtesy of Matthew Brett
Please report any issues here:
https://github.com/pydata/pandas/issues
Thanks
The Pandas Development Team
Contributors to the 0.14.1 release
- Andrew Rosenfeld
- Andy Hayden
- Benjamin Adams
- Benjamin M. Gross
- Brian Quistorff
- Brian Wignall
- bwignall
- clham
- Daniel Waeber
- David Bew
- David Stephens
- DSM
- dsm054
- helger
- immerrr
- Jacob Schaer
- jaimefrio
- Jan Schulz
- John David Reaver
- John W. O’Brien
- Joris Van den Bossche
- jreback
- Julien Danjou
- Kevin Sheppard
- K.-Michael Aye
- Kyle Meyer
- lexual
- Matthew Brett
- Matt Wittmann
- Michael Mueller
- Mortada Mehyar
- onesandzeroes
- Phillip Cloud
- Rob Levy
- rockg
- sanguineturtle
- Schaer, Jacob C
- seth-p
- sinhrks
- Stephan Hoyer
- Thomas Kluyver
- Todd Jennings
- TomAugspurger
- unknown
- yelite
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