renovate[bot]
commented
1 year ago Renovate Ignore Notification
Because you closed this PR without merging, Renovate will ignore this update (==0.25.3). You will get a PR once a newer version is released. To ignore this dependency forever, add it to the ignoreDeps array of your Renovate config.
If you accidentally closed this PR, or if you changed your mind: rename this PR to get a fresh replacement PR.
This PR contains the following updates:
==0.22.0->==0.25.3Release Notes
pandas-dev/pandas
### [`v0.25.3`](https://togithub.com/pandas-dev/pandas/releases/v0.25.3) [Compare Source](https://togithub.com/pandas-dev/pandas/compare/v0.25.2...v0.25.3) 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](https://pandas.pydata.org/pandas-docs/version/0.25/whatsnew/v0.25.3.html) 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](https://togithub.com/pandas-dev/pandas/issues). ### [`v0.25.2`](https://togithub.com/pandas-dev/pandas/releases/v0.25.2) [Compare Source](https://togithub.com/pandas-dev/pandas/compare/v0.25.1...v0.25.2) 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](https://pandas.pydata.org/pandas-docs/version/0.25/whatsnew/v0.25.2.html) 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](https://togithub.com/pandas-dev/pandas/issues). ### [`v0.25.1`](https://togithub.com/pandas-dev/pandas/releases/v0.25.1) [Compare Source](https://togithub.com/pandas-dev/pandas/compare/v0.25.0...v0.25.1) 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](http://pandas.pydata.org/pandas-docs/version/0.25/whatsnew/v0.25.1.html) 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`](https://togithub.com/pandas-dev/pandas/releases/v0.25.0) [Compare Source](https://togithub.com/pandas-dev/pandas/compare/v0.24.2...v0.25.0) 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](https://pandas.pydata.org/pandas-docs/version/0.25/whatsnew/v0.25.0.html#groupby-aggregation-with-relabeling) - [Better repr for MultiIndex](https://pandas.pydata.org/pandas-docs/version/0.25/whatsnew/v0.25.0.html#better-repr-for-multiindex) - [Better truncated repr for Series and DataFrame](https://pandas.pydata.org/pandas-docs/version/0.25/whatsnew/v0.25.0.html#shorter-truncated-repr-for-series-and-dataframe) - [Series.explode to split list-like values to rows](https://pandas.pydata.org/pandas-docs/version/0.25/whatsnew/v0.25.0.html#series-explode-to-split-list-like-values-to-rows) See the [release notes](https://pandas.pydata.org/pandas-docs/version/0.25/whatsnew/v0.25.0.html) 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](https://togithub.com/pandas-dev/pandas/issues). ### [`v0.24.2`](https://togithub.com/pandas-dev/pandas/releases/v0.24.2) [Compare Source](https://togithub.com/pandas-dev/pandas/compare/v0.24.1...v0.24.2) 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][1] 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 [1]: http://pandas.pydata.org/pandas-docs/version/0.24/whatsnew/v0.24.2.html ### [`v0.24.1`](https://togithub.com/pandas-dev/pandas/releases/v0.24.1) [Compare Source](https://togithub.com/pandas-dev/pandas/compare/v0.24.0...v0.24.1) 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][1] 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 [1]: http://pandas.pydata.org/pandas-docs/version/0.24.1/whatsnew/v0.24.1.html ### [`v0.24.0`](https://togithub.com/pandas-dev/pandas/releases/v0.24.0) [Compare Source](https://togithub.com/pandas-dev/pandas/compare/v0.23.4...v0.24.0) 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][1] - [New APIs for accessing the array backing a Series or Index][2] - [A new top-level `pandas.array()` method for creating arrays][3] - [Store Interval and Period data in a Series or DataFrame][4] - [Joining with two MultiIndexes][5] See the [release notes][6] 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][7]. [1]: http://pandas.pydata.org/pandas-docs/version/0.24/whatsnew/v0.24.0.html#optional-integer-na-support [2]: http://pandas.pydata.org/pandas-docs/version/0.24/whatsnew/v0.24.0.html#accessing-the-values-in-a-series-or-index [3]: http://pandas.pydata.org/pandas-docs/version/0.24/whatsnew/v0.24.0.html#array [4]: http://pandas.pydata.org/pandas-docs/version/0.24/whatsnew/v0.24.0.html#storing-interval-and-period-data-in-series-and-dataframe [5]: http://pandas.pydata.org/pandas-docs/version/0.24/whatsnew/v0.24.0.html#joining-with-two-multi-indexes [6]: http://pandas.pydata.org/pandas-docs/version/0.24/whatsnew/v0.24.0.html [7]: https://togithub.com/pandas-dev/pandas/issues ### [`v0.23.4`](https://togithub.com/pandas-dev/pandas/releases/v0.23.4) [Compare Source](https://togithub.com/pandas-dev/pandas/compare/v0.23.3...v0.23.4) This is a minor bug-fix release in the 0.23.x series and includes some small regression fixes and bug fixes. We recommend that all users upgrade to this version. See the [full whatsnew](https://pandas.pydata.org/pandas-docs/version/0.23.4/whatsnew.html) 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 ### [`v0.23.3`](https://togithub.com/pandas-dev/pandas/releases/v0.23.3) [Compare Source](https://togithub.com/pandas-dev/pandas/compare/v0.23.2...v0.23.3) This release fixes a build issue with the sdist for Python 3.7. There are no other changes. ### [`v0.23.2`](https://togithub.com/pandas-dev/pandas/releases/v0.23.2) [Compare Source](https://togithub.com/pandas-dev/pandas/compare/v0.23.1...v0.23.2) 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](https://pandas.pydata.org/pandas-docs/version/0.23.2/whatsnew.html) 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`](https://togithub.com/pandas-dev/pandas/releases/v0.23.1) [Compare Source](https://togithub.com/pandas-dev/pandas/compare/v0.23.0...v0.23.1) 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](https://pandas.pydata.org/pandas-docs/version/0.23.1/whatsnew.html#v0-23-1) 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`](https://togithub.com/pandas-dev/pandas/releases/v0.23.0) [Compare Source](https://togithub.com/pandas-dev/pandas/compare/v0.22.0...v0.23.0) 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: - [Round-trippable JSON format with 'table' orient](https://pandas.pydata.org/pandas-docs/version/0.23.0/whatsnew.html#json-read-write-round-trippable-with-orient-table) - [Instantiation from dicts respects order for Python 3.6+](https://pandas.pydata.org/pandas-docs/version/0.23.0/whatsnew.html#instantation-from-dicts-preserves-dict-insertion-order-for-python-3-6) - [Dependent column arguments for assign](https://pandas.pydata.org/pandas-docs/version/0.23.0/whatsnew.html#assign-accepts-dependent-arguments) - [Merging / sorting on a combination of columns and index levels](https://pandas.pydata.org/pandas-docs/version/0.23.0/whatsnew.html#merging-on-a-combination-of-columns-and-index-levels) - [Extending Pandas with custom types](https://pandas.pydata.org/pandas-docs/version/0.23.0/whatsnew.html#extending-pandas-with-custom-types-experimental) - [Excluding unobserved categories from groupby](https://pandas.pydata.org/pandas-docs/version/0.23.0/whatsnew.html#categorical-groupers-has-gained-an-observed-keyword) See the [full whatsnew][2] 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. [1]: https://togithub.com/pandas-dev/pandas/issues [2]: https://pandas.pydata.org/pandas-docs/version/0.23.0/whatsnew.html#v0-23-0Renovate configuration
:date: Schedule: At any time (no schedule defined).
:vertical_traffic_light: Automerge: Disabled by config. Please merge this manually once you are satisfied.
:recycle: Rebasing: Whenever PR becomes conflicted, or you tick the rebase/retry checkbox.
:no_bell: Ignore: Close this PR and you won't be reminded about this update again.
This PR has been generated by WhiteSource Renovate. View repository job log here.