kaiko-ai / typedspark

Column-wise type annotations for pyspark DataFrames
Apache License 2.0
65 stars 4 forks source link

Update dependency pandas to v2.1.3 #227

Closed renovate[bot] closed 11 months ago

renovate[bot] commented 11 months ago

Mend Renovate

This PR contains the following updates:

Package Change Age Adoption Passing Confidence
pandas (source) ==2.1.2 -> ==2.1.3 age adoption passing confidence

Release Notes

pandas-dev/pandas (pandas) ### [`v2.1.3`](https://togithub.com/pandas-dev/pandas/releases/tag/v2.1.3): Pandas 2.1.3 [Compare Source](https://togithub.com/pandas-dev/pandas/compare/v2.1.2...v2.1.3) This is a patch release in the 2.1.x series and includes some regression and bug fixes, and a security fix. We recommend that all users upgrade to this version. See the [full whatsnew](https://pandas.pydata.org/pandas-docs/version/2.1.3/whatsnew/v2.1.3.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.

Configuration

📅 Schedule: Branch creation - At any time (no schedule defined), Automerge - At any time (no schedule defined).

🚦 Automerge: Enabled.

Rebasing: Whenever PR becomes conflicted, or you tick the rebase/retry checkbox.

🔕 Ignore: Close this PR and you won't be reminded about this update again.



This PR has been generated by Mend Renovate. View repository job log here.