Hi,
I'm pleased to announce the availability of the first release candidate of
Pandas 0.14.0.
Please try this RC and report any issues here: Pandas
Issues<https://github.com/pydata/pandas/issues>
We will be releasing officially in about 2 weeks or so.
This is a major release from 0.13.1 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:
- Officially support Python 3.4
- SQL interfaces updated to use sqlalchemy,
- Display interface changes
- MultiIndexing Using Slicers
- Ability to join a singly-indexed DataFrame with a multi-indexed
DataFrame
- More consistency in groupby results and more flexible groupby
specifications
- Holiday calendars are now supported in CustomBusinessDay
- Several improvements in plotting functions, including: hexbin, area
and pie plots.
- Performance doc section on I/O operations
Since there are some significant changes in the default way DataFrames are
displayed. I have put
up a comment issue looking for some feedback
here<https://github.com/pydata/pandas/issues/7146>
Here are the full whatsnew and documentation links:
v0.14.0 Whatsnew<http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html>
v0.14.0 Documentation Page<http://pandas-docs.github.io/pandas-docs-travis/>
Source tarballs, and windows builds are available here:
Pandas v0.14rc1 Release <https://github.com/pydata/pandas/releases>
A big thank you to everyone who contributed to this release!
Jeff
Hello,
We are proud to announce v0.15.0 of pandas, a major release from 0.14.1.
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 4 months of work with 420 commits by 79 authors encompassing 236
issues.
We recommend that all users upgrade to this version.
*Highlights:*
- Drop support for numpy < 1.7.0
- The Categorical type was integrated as a first-class pandas type
- New scalar type Timedelta, and a new index type TimedeltaIndex
- New DataFrame default display for df.info() to include memory usage
- New datetimelike properties accessor .dt for Series
- Split indexing documentation into Indexing and Selecting Data and
MultiIndex / Advanced Indexing
- Split out string methods documentation into Working with Text Data
- read_csv will now by default ignore blank lines when parsing
- API change in using Indexes in set operations
- Internal refactoring of the Index class to no longer sub-class ndarray
- dropping support for PyTables less than version 3.0.0, and numexpr
less than version 2.1
See a full description of Whatsnew for v0.15.0 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 are courtesy of Matthew Brett and are built on Numpy 1.7.1
Please report any issues here:
https://github.com/pydata/pandas/issues
Thanks
The Pandas Development Team
Contributors to the 0.15.0 release
Hi,
I'm pleased to announce the availability of the first release candidate of
Pandas 0.15.0.
Please try this RC and report any issues here: Pandas Issues
<https://github.com/pydata/pandas/issues>
We will be releasing officially in 1-2 weeks or so.
This is a major release from 0.14.1 and includes a number of API changes,
several new features, enhancements, and performance improvements along with
a large number of bug fixes.
Highlights include:
- Drop support for numpy < 1.7.0
- The Categorical type was integrated as a first-class pandas type
- New scalar type Timedelta, and a new index type TimedeltaIndex
- New DataFrame default display for df.info() to include memory usage
- New datetimelike properties accessor .dt for Series
- Split indexing documentation into Indexing and Selecting Data and
MultiIndex / Advanced Indexing
- Split out string methods documentation into Working with Text Data
- read_csv will now by default ignore blank lines when parsing
- API change in using Indexes in set operations
- Internal refactoring of the Index class to no longer sub-class ndarray
- dropping support for PyTables less than version 3.0.0, and numexpr less
than version 2.1
Here are the full whatsnew and documentation links:
v0.15.0 Whatsnew
<http://pandas.pydata.org/pandas-docs/version/0.15.0/whatsnew.html>
v0.15.0 Documentation Page
<http://pandas.pydata.org/pandas-docs/version/0.15.0/>
Source tarballs, and windows builds are available here:
Pandas v0.15.0rc1 Release <https://github.com/pydata/pandas/releases>
A big thank you to everyone who contributed to this release!
Jeff
