v0.23.3

@TomAugspurger TomAugspurger released this Jul 7, 2018 · 343 commits to master since this release

This release fixes a build issue with the sdist for Python 3.7.
There are no other changes.

v0.23.2

@TomAugspurger TomAugspurger released this Jul 5, 2018 · 343 commits to master since this release

This is a minor bug-fix release in the 0.23.x series and includes some regression fixes, bug fixes, and performance improvements. We recommend that all users upgrade to this version.
See the full whatsnew for a list of all the changes.

The release can be installed with conda from the default channel and conda-forge::

conda install pandas

Or via PyPI:

python -m pip install --upgrade pandas

v0.23.1

@TomAugspurger TomAugspurger released this Jun 12, 2018 · 44 commits to 0.23.x since this release

This is a minor bug-fix release in the 0.23.x series and includes some regression fixes, bug fixes, and performance improvements.
We recommend that all users upgrade to this version.
See the full whatsnew for a list of all the changes.

The release can be installed with conda from the default channel and conda-forge::

conda install pandas

Or via PyPI:

python -m pip install --upgrade pandas

v0.23.0

@TomAugspurger TomAugspurger released this May 15, 2018 · 343 commits to master since this release

This is a major release from 0.22.0 and includes a number of API changes, new
features, enhancements, and performance improvements along with a large number
of bug fixes.

Highlights include:

See the full whatsnew for a list of all the changes.

The release candidate can be installed with conda from from conda-forge (builds for osx-64, linux-64 and win-64 for Python 2.7, Python 3.5, and Python 3.6 are all available):

conda install -c conda-forge pandas=0.23.0

Or via PyPI

python3 -m pip install --upgrade pandas

Updated conda packages will be available in the default channel shortly.

v0.23.0rc2

@TomAugspurger TomAugspurger released this May 2, 2018 · 400 commits to master since this release

This is the first public release candidate for pandas 0.23.0

This is a major release from 0.23.0 and includes a number of API changes, new
features, enhancements, and performance improvements along with a large number
of bug fixes.

Highlights include:

See the full whatsnew for a list of all the changes.

The release candidate can be installed with conda from our development channel (builds for osx-64, linux-64 and win-64 for Python 2.7, Python 3.5, and Python 3.6 are all available):

conda install -c conda-forge --label=rc pandas=0.23.0rc2

Or via PyPI

python3 -m pip install --pre --upgrade pandas==0.23.0rc2

v0.23.0rc1

@TomAugspurger TomAugspurger released this May 2, 2018 · 402 commits to master since this release

This is the first release candidate for pandas 0.23.0

This is a major release from 0.22.0 and includes a number of API changes, new
features, enhancements, and performance improvements along with a large number
of bug fixes.

Highlights include:

See the full whatsnew for a list of all the changes.

The release candidate can be installed with conda from our development channel (builds for osx-64, linux-64 and win-64 for Python 2.7, Python 3.5, and Python 3.6 are all available):

conda install -c conda-forge --label=rc pandas=0.23.0rc1

Or via PyPI

python3 -m pip install --pre --upgrade pandas

v0.22.0 Final

@TomAugspurger TomAugspurger released this Dec 30, 2017

This is a major release from 0.21.1 and includes a single, API-breaking change.
We recommend that all users upgrade to this version after carefully reading the
release note.

The only changes are:

  • The sum of an empty or all-NA Series is now 0
  • The product of an empty or all-NA Series is now 1
  • We've added a min_count parameter to .sum() and .prod() controlling
    the minimum number of valid values for the result to be valid. If fewer than
    min_count non-NA values are present, the result is NA. The default is
    0. To return NaN, the 0.21 behavior, use min_count=1.

See the whatsnew for further explanation of all the places in the library this affects.

v0.21.1 Final

@TomAugspurger TomAugspurger released this Dec 12, 2017 · 1682 commits to master since this release

This is a minor bug-fix release in the 0.21.x series and includes some small
regression fixes, bug fixes and performance improvements. We recommend that all
users upgrade to this version.

Highlights include:

  • Temporarily restore matplotlib datetime plotting functionality. This should
    resolve issues for users who relied implicitly on pandas to plot datetimes
    with matplotlib. See here
  • Improvements to the Parquet IO functions introduced in 0.21.0. See
    here

See the v0.21.1 Whatsnew overview for an extensive list
of all the changes for 0.21.1.