Pandas changelog

Changelog History

Page 1

• v0.26.0.dev0

  July 18, 2019

• v0.25.2

  October 18, 2019

  🚀 This is a minor bug-fix release in the 0.25.x series and includes some regression fixes
  ⬆️ and bug fixes. 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 defaults and conda-forge channels:

  conda install pandas
  

  Or via PyPI:

  python3 -m pip install --upgrade pandas
  

  🚀 Please report any issues with the release on the pandas issue tracker.

• v0.25.1

  August 22, 2019

  🚀 This is a minor bug-fix release in the 0.25.x series and includes some regression fixes
  ⬆️ and bug fixes. 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 defaults and conda-forge channels:

  conda install pandas
  

  Or via PyPI:

  python -m pip install --upgrade pandas
  

• v0.25.0

  July 18, 2019

  🚀 This is a major release from 0.24.2 and includes a number of API changes, new
  🔋 features, enhancements, and performance improvements along with a large number
  🛠 of bug fixes.

  Highlights include

  • ⬇️ Dropped Python 2 support
  • 📄 Groupby aggregation with relabeling
  • 📄 Better repr for MultiIndex
  • 📄 Better truncated repr for Series and DataFrame
  • 📄 Series.explode to split list-like values to rows

  🚀 See the release notes for a full list of all the changes from 0.24.2.

  🚀 The release can be installed with conda using the defaults or conda-forge channels

  conda install pandas
  

  Or via PyPI

  python3 -m pip install --upgrade pandas
  

  🚀 Please report any issues with the release on the pandas issue tracker.

• v0.25.0.rc0

  July 04, 2019

  🚀 This is a major release from 0.24.2 and includes a number of API changes, new
  🔋 features, enhancements, and performance improvements along with a large number
  🛠 of bug fixes.

  Highlights include

  • ⬇️ Dropped Python 2 support
  • Groupby aggregation with relabeling
  • 👍 Better repr for MultiIndex
  • 👍 Better truncated repr for Series and DataFrame

  🚀 See the release notes for a full list of all the change from 0.24.2.

  🚀 The release candidate can be installed with conda using the conda-forge channel

  conda install -c conda-forge/label/rc pandas=0.25.0rc0
  

  Or via PyPI

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

  🚀 Please report any issues with the release candidate on the pandas issue tracker.

• v0.25.0.dev0

  January 25, 2019

• v0.24.2

  March 12, 2019

  🚀 This is a minor bug-fix release in the 0.24.x series and includes some regression fixes
  ⬆️ and bug fixes. 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 defaults and conda-forge channels:

  conda install pandas
  

  Or via PyPI:

  python -m pip install --upgrade pandas
  

• v0.24.1

  February 03, 2019

  🚀 This is a minor bug-fix release in the 0.24.x series and includes some regression fixes
  ⬆️ and bug fixes. 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 defaults and conda-forge channels:

  conda install pandas
  

  Or via PyPI:

  python -m pip install --upgrade pandas
  

• v0.24.0

  January 25, 2019

  🚀 This is a major release from 0.23.4 and includes a number of API changes, new
  🔋 features, enhancements, and performance improvements along with a large number
  🛠 of bug fixes.

  Highlights include:

  • 📄 Optional Nullable Integer Support
  • 📄 New APIs for accessing the array backing a Series or Index
  • 📄 A new top-level pandas.array() method for creating arrays
  • 📄 Store Interval and Period data in a Series or DataFrame
  • 📄 Joining with two MultiIndexes

  🚀 See the release notes for a full list of all the change from 0.23.4

  🚀 The release candidate can be installed with conda using the defaults or conda-forge channels

  conda install pandas
  

  Or via PyPI

  python3 -m pip install --upgrade pandas
  

  🚀 Note that 0.24.x is the last series of releases to support Python 2.

  🚀 Please report any issues with the release candidate on the pandas issue tracker.

• v0.24.0.rc1

  January 11, 2019

  🚀 This is the first release candidate for 0.24.0.

  🚀 This is a major release from 0.23.4 and includes a number of API changes, new
  🔋 features, enhancements, and performance improvements along with a large number
  🛠 of bug fixes.

  Highlights include:

  • 📄 Optional Nullable Integer Support
  • 📄 New APIs for accessing the array backing a Series or Index
  • 📄 A new top-level pandas.array() method for creating arrays
  • 📄 Store Interval and Period data in a Series or DataFrame
  • 📄 Joining with two MultiIndexes

  🚀 See the release notes for a full list of all the change from 0.23.4

  🚀 The release candidate can be installed with conda from from conda-forge

  conda install -c conda-forge/label/rc pandas=0.24.0rc1
  

  Or via PyPI

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

  🚀 Note that 0.24.x is the last series of releases to support Python 2.

  🚀 Please report any issues with the release candidate on the pandas issue tracker.

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