Releases: pandas-dev/pandas
v0.15.1 final
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 typeTimedeltaIndex
- 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
andMultiIndex / 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-classndarray
- dropping support for
PyTables
less than version 3.0.0, andnumexpr
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 typeTimedeltaIndex
- 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
andMultiIndex / 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-classndarray
- dropping support for
PyTables
less than version 3.0.0, andnumexpr
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 andpandas.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.