feat(db-dtypes): support pandas 3.1.0 and update extension compliance tests
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Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 52/100
- Issue type
- Feature
- Clarity
- Mostly clear
- Activity status
- Active
- Domain
- data, testing-qa
Research direction
Start in tests/compliance/ and inspect the JSONArray and TimeArray compliance coverage, then review packages/db-dtypes/setup.py for the pandas version bound. Run the compliance tests against pandas 3.1.0 and check fillna, comparisons, reductions, warnings, and test_map behavior. Done means the compliance tests pass and the pandas upper bound is updated after compatibility is confirmed.
Written by the indexing model from the issue text.
Description
Description
(introduced in pandas 3.1.0rc0) includes changes to pandas' internal ExtensionArray compliance test base classes and reduction semantics.
Areas to address:
- Private import removal: Replace
from pandas.compat.numpy import np_version_gt2intests/compliance/with a dynamic version check against NumPy (packaging.version.parse(np.__version__) >= Version('2')). - JSONArray & TimeArray compliance: Update
JSONArrayandTimeArraymethods to conform to pandas 3.1 ExtensionArray behaviors:ExtensionArray.fillnadict filling semantics.- Comparison and reduction return dtypes and
Pandas4Warningdeprecation warnings. test_mapreturn types.
- Upper bound relaxation: Relax
pandas < 3.1.0back topandas < 4.0.0inpackages/db-dtypes/setup.pyonce fully compliant.
- Dominant language
- Python
- Stars
- 5.4k
- Forks
- 1.8k
- Avg merge
- 2d 7h
- Merged PRs (30d)
- 173
Getting set up
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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