This is an innovative machine learning project that utilizes patient reviews with many other attributes to analyze and evaluate the effectiveness of drugs.
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 for a list of all the changes.
The release will be available on the defaults and conda-forge channels:
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Bumps pandas from 2.1.2 to 2.1.3.
Release notes
Sourced from pandas's releases.
Commits
2a953cfRLS: 2.1.3d9665caBackport PR #55911 on branch 2.1.x (DOC: convert outdated example of NumPy's ...92ce245Backport PR #55907 on branch 2.1.x (DOC: Add release date for 2.1.3) (#55913)1691a51Backport PR #55894 on 2.1.x: Parquet/Feather IO: disable PyExtensionType auto...4158666Backport PR #55764 on branch 2.1.x (REGR: fix return class in _constructor_fr...de8af3cBackport PR #55427 on branch 2.1.x (DOC: Remove outdated docs about NumPy's b...569f904Backport PR #55227 on branch 2.1.x (BUG: Interchange object data buffer has t...c9854d9TST: Make read_csv tests pyarrow 13 compatable on 2.1.x (#55855)7702f41Backport PR #55853: DEPS: Use ipython run_cell instead of run_code; remove py...0bf70c7Backport PR #55761 on branch 2.1.x (BUG: DatetimeIndex.diff raising TypeError...Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting
@dependabot rebase.Dependabot commands and options
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