v0.16.1 Final

This is a minor bug-fix release from 0.16.0 and includes a a large number of
bug fixes along several new features, enhancements, and performance improvements.
We recommend that all users upgrade to this version.

Highlights include:

• Support for a CategoricalIndex, a category based index, see here
• New section on how-to-contribute to pandas, see here
• Revised "Merge, join, and concatenate" documentation, including graphical examples to make it easier to understand each operations, see here
• New method sample for drawing random samples from Series, DataFrames and Panels. See here
• The default Index printing has changed to a more uniform format, see here
• BusinessHour datetime-offset is now supported, see here
• Further enhancement to the .str accessor to make string operations easier, see here

See the full whatsnew here

v0.16.0 Final

This is a major release from 0.15.2 and 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 include:

• DataFrame.assign method, see here
• Series.to_coo/from_coo methods to interact with scipy.sparse, see here
• Backwards incompatible change to Timedelta to conform the .seconds attribute with datetime.timedelta, see here
• Changes to the .loc slicing API to conform with the behavior of .ix see here
• Changes to the default for ordering in the Categorical constructor, see here
• Enhancement to the .str accessor to make string operations easier, see here
• The pandas.tools.rplot, pandas.sandbox.qtpandas and pandas.rpy
  modules are deprecated. We refer users to external packages like
  seaborn,
  pandas-qt and
  rpy2 for similar or equivalent
  functionality, see here for more detail.

See the Whatsnew for an extensive list of all API changes, enhancements and bugs that have been fixed in 0.16.0.

v0.16.0rc1

The release candidate for 0.16.0 is now previewing.

This is a major release from 0.15.2 and 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 include:

• DataFrame.assign method
• Series.to_coo/from_coo methods to interact with scipy.sparse
• Backwards incompatible change to Timedelta to conform the .seconds attribute with datetime.timedelta
• Changes to the .loc slicing API to conform with the behavior of .ix
• Changes to the default for ordering in the Categorical constructor

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

v0.15.2 final

This is a minor release from 0.15.1 and includes a small number of API changes, several new features, enhancements, and performance improvements along with a large number of bug fixes.

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

v0.15.2pre

windows builds for 0.15.2 pre-release

v0.15.1 final

This is a minor release from 0.15.0 and includes a small number of API changes, several new features, enhancements, and performance improvements along with a large number of bug fixes.

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

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.