v0.15.0 final

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

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

V0.15.0 RC1

The release candidate for 0.15.0 is now previewing.

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

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

v0.15.0 Pre-release

This hosts windows binaries for the v0.15.0 pre-release.

These are built with numpy 1.7 or greater.

v0.14.1 final

This is a minor release from 0.14.0 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 methods pandas.DataFrame.select_dtypes to select columns
  based on the dtype and pandas.Series.sem to calculate the
  standard error of the mean.
• Support for dateutil timezones.
• Support for ignoring full line comments in the pandas.read_csv
  text parser.
• New documentation section on `Options and Settings```.
• Lots of bug fixes.

v0.14.0 final

Announcing v0.14.0, a major release from 0.13.1. This release includes a small number of API changes, several new features, enhancements, and performance improvements along with a large number of bug fixes.

We recommend that all users upgrade to this version.

Highlights

• 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

Pandas v0.14rc1

Release Candiate 1

Pandas v0.13.1

Version 0.13.1

Pandas v0.13.0

Includes hotfix for 0.13.0, with setup.py changes from #5844.
Fixing an installation error for users who do not have cython installed.