f-koehler / mlxtk

Toolkit for ML-MCTDH(X) simulations using QDTK
MIT License
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Update dependency pandas to v2 #239

Closed renovate[bot] closed 9 months ago

renovate[bot] commented 1 year ago

Mend Renovate

This PR contains the following updates:

Package Change Age Adoption Passing Confidence
pandas (source) ^1.1.2 -> ^2.0.0 age adoption passing confidence

Release Notes

pandas-dev/pandas (pandas) ### [`v2.1.1`](https://togithub.com/pandas-dev/pandas/releases/tag/v2.1.1): Pandas 2.1.1 [Compare Source](https://togithub.com/pandas-dev/pandas/compare/v2.1.0...v2.1.1) This is a patch release in the 2.1.x series and includes some regression and bug fixes. We recommend that all users upgrade to this version. See the [full whatsnew](https://pandas.pydata.org/pandas-docs/version/2.1.1/whatsnew/v2.1.1.html) for a list of all the changes. The release will be available on 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). Thanks to all the contributors who made this release possible. ### [`v2.1.0`](https://togithub.com/pandas-dev/pandas/releases/tag/v2.1.0): Pandas 2.1.0 [Compare Source](https://togithub.com/pandas-dev/pandas/compare/v2.0.3...v2.1.0) We are pleased to announce the release of pandas 2.1.0. This release includes some new features, 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/2.1.0/whatsnew/v2.1.0.html) for a list of all the changes. Pandas 2.1.0 supports Python 3.9 and higher. The release will be available on 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). Thanks to all the contributors who made this release possible. ### [`v2.0.3`](https://togithub.com/pandas-dev/pandas/releases/tag/v2.0.3): Pandas 2.0.3 [Compare Source](https://togithub.com/pandas-dev/pandas/compare/v2.0.2...v2.0.3) This is a patch release in the 2.0.x series and includes some regression and bug fixes. We recommend that all users upgrade to this version. See the [full whatsnew](https://pandas.pydata.org/pandas-docs/version/2.0.3/whatsnew/v2.0.3.html) for a list of all the changes. The release will be available on 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). Thanks to all the contributors who made this release possible. ### [`v2.0.2`](https://togithub.com/pandas-dev/pandas/releases/tag/v2.0.2): Pandas 2.0.2 [Compare Source](https://togithub.com/pandas-dev/pandas/compare/v2.0.1...v2.0.2) This is a patch release in the 2.0.x series and includes some regression and bug fixes. We recommend that all users upgrade to this version. See the [full whatsnew](https://pandas.pydata.org/pandas-docs/version/2.0.2/whatsnew/v2.0.2.html) for a list of all the changes. The release will be available on 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). Thanks to all the contributors who made this release possible. ### [`v2.0.1`](https://togithub.com/pandas-dev/pandas/releases/tag/v2.0.1): Pandas 2.0.1 [Compare Source](https://togithub.com/pandas-dev/pandas/compare/v2.0.0...v2.0.1) This is a patch release in the 2.0.x series and includes some regression and bug fixes. We recommend that all users upgrade to this version. See the [full whatsnew](https://pandas.pydata.org/pandas-docs/version/2.0.1/whatsnew/v2.0.1.html) for a list of all the changes. The release will be available on 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). Thanks to all the contributors who made this release possible. ### [`v2.0.0`](https://togithub.com/pandas-dev/pandas/releases/tag/v2.0.0): Pandas 2.0.0 [Compare Source](https://togithub.com/pandas-dev/pandas/compare/v1.5.3...v2.0.0) We are pleased to announce the release of pandas 2.0.0, a major release from the pandas 1 series. This release includes some new features, bug fixes, and performance improvements, as well as possible breaking changes. It is recommended that users with existing code upgrade to pandas 1.5.3 before they upgrade to pandas 2, and make sure their code does not generate FutureWarning or DeprecationWarning messages. See the [whatsnew][0] for a list of all the changes. The release will be available on conda-forge and PyPI. The release can be installed from PyPI python -m pip install --upgrade pandas==2.0.0 Or from conda-forge mamba install -c conda-forge pandas==2.0.0 Please report any issues with the release candidate on the [pandas issue tracker](https://togithub.com/pandas-dev/pandas/issues/new/choose). [0]: https://pandas.pydata.org/pandas-docs/version/2.0/whatsnew/v2.0.0.html

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