Bump pandas from 2.1.4 to 2.2.0

[dependabot]

Bumps pandas from 2.1.4 to 2.2.0.

Release notes

Sourced from pandas's releases.

Pandas 2.2.0

We are pleased to announce the release of pandas 2.2.0. This release includes some new features, bug fixes, and performance improvements. We recommend that all users upgrade to this version.

See the full whatsnew for a list of all the changes. Pandas 2.2.0 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.

Thanks to all the contributors who made this release possible.

Pandas 2.2.0rc0

We are pleased to announce a release candidate for pandas 2.2.0. If all goes well, we'll release pandas 2.2.0 in about two weeks.

See the whatsnew 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 --pre pandas==2.2.0rc0 Or from conda-forge

conda install -c conda-forge/label/pandas_rc pandas==2.2.0rc0 Please report any issues with the release candidate on the pandas issue tracker.

Commits

• f538741 RLS: 2.2.0
• 2fa26fd Backport PR #56967 on branch 2.2.x (CI: Adjust pyarrow depr warning to accoun...
• fd3f571 RLS: 2.2.0
• b070774 Backport PR #56952: DEPR: Make FutureWarning into DeprecationWarning … (#56964)
• dfd0aed Backport PR #56896 on branch 2.2.x (DEPS: Add warning if pyarrow is not insta...
• 859c030 Backport PR #56922 on branch 2.2.x (REGR: DatetimeTZDtype from_arrow inte...
• cc37a13 Backport PR #56949 on branch 2.2.x (CI: avoid FutureWarnings in to_xarray tes...
• a95029a Backport PR #56947 on branch 2.2.x (DOC: Set date for 2.2) (#56950)
• 160d7a1 Backport PR #56587 on branch 2.2.x (ENH: support the Arrow PyCapsule Interfac...
• 74fa740 Backport PR #56445: Adjust merge tests for new string option (#56938)
• Additional commits viewable in compare view

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[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Comparison is base (c4ab161) 85.51% compared to head (d16da4e) 85.71%.

Additional details and impacted files

@@            Coverage Diff             @@
##             main     #972      +/-   ##
==========================================
+ Coverage   85.51%   85.71%   +0.20%     
==========================================
  Files          20       20              
  Lines        3466     3466              
  Branches      760      760              
==========================================
+ Hits         2964     2971       +7     
+ Misses        345      337       -8     
- Partials      157      158       +1     

☔ View full report in Codecov by Sentry.
📢 Have feedback on the report? Share it here.

[cbkerr]

The failing builds are due to a new dependency of pandas

E   DeprecationWarning: 
E   Pyarrow will become a required dependency of pandas in the next major release of pandas (pandas 3.0),
E   (to allow more performant data types, such as the Arrow string type, and better interoperability with other libraries)
E   but was not found to be installed on your system.
E   If this would cause problems for you,

https://arrow.apache.org/docs/python/install.html

[bdice]

I would suggest adding this warning to the filterwarnings:

signac/pyproject.toml

Line 104 in f9df893

filterwarnings = [

[cbkerr]

@bdice do you think we should catch the warning in the functions that use pandas? Or will users of those functions want to know about the new 2nd-order dependency?

[joaander]

One would hope that pandas will add the requirement as a dependency so that package managers will automatically install pyarrow on upgrade. Users should not have to install pyarrow manually. I don't know what this warning is intended to achieve - additional dependencies are not a breaking change.

[bdice]

@cbkerr @joaander This issue has more context. pandas-dev/pandas#5446 The primary reservations some have expressed about making pyarrow a required dependency are its effects on the environment size (more than doubling the size of pandas' current dependency tree), Linux distros that don't have pyarrow packages already, etc. If pyarrow is made a required dependency of pandas, then it won't have to be installed manually. In the current release of pandas, pyarrow is optional.

No action is required here by signac, except to ignore the warning in signac tests (done in this PR).

[joaander]

@bdice, understood. The warning is attempting to create volumes of discourse on the topic with the added bonus of breaking all CI checks that depends on pandas.