Restore modern Python compatibility and CI - #235
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…row order - test.yml: two-leg matrix per the CI plan (Python 3.10 + minimum deps, Python 3.12 + latest deps) with a job timeout; drop Python 3.13, which has no NumPy 1.x binaries - setup.py: raise dependency floors to the oldest versions installable on Python 3.10 (numpy 1.21, scipy 1.7, statsmodels 0.13), cap numpy < 2 until Pandana supports the NumPy 2 ABI, drop the 3.13 classifier - requirements-min.txt: pip constraints used by the minimum-deps CI job - transition.py: group merge results by join key explicitly so _update_linked_table row order (and the sequential indexes assigned to new rows) match pre-2.2 pandas on all supported versions; restore the original test expectations in test_transition.py
smmaurer
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Aug 17, 2026
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Summary
NOTE: support for Python 3.13/14, Pandas 3, and NumPy 2 will be handled in follow-up after Pandana is updated.
Dependency compatibility policy
We propose setting a floor for dependencies based on the official Python release cycle. Python 3.9 is now EOL, so the next
urbansimrelease will expect Python 3.10+ and associated minimum versions of Pandas, NumPy, etc.Existing contributions
This supersedes PR #231 and fixes #232. The
np.intchanges from #231 are retained with credit to @msoltadeo.It also incorporates the Pandas
items()update and obsolete NumPy import cleanup from the existingfix/update_pandas_numpy_depreciationsbranch, with credit to @jdcaicedo251.Refs #234.
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