deps: widen pandas pin to <4 (pandas 3.0 compatible)#21
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The pandas>=1.5,<3 ceiling was the last blocking version pin (mirrors the old sklearn <1.9). The code is already pandas-3 compatible -- no changes needed: no applymap/df.append (removed in 3.0), a single inplace=True on a fresh frame (not a Copy-on-Write footgun), no object-dtype assumptions, and no new string- dtype breakage. Verified under pandas 3.0.3: fast suite 2177, integration incl. golden snapshot 34, filter path clean with Future/DeprecationWarning as errors, full clean-state 2219 passed. Widen to pandas>=1.5,<4 (keep a conservative major-version ceiling, as with scikit-learn<2). CI now installs the latest 3.x via the range, so pandas 3 is exercised on every run -- the durable regression guard. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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The
pandas>=1.5,<3ceiling was the last blocking version pin (the same class as the sklearn<1.9pin removed earlier). pandas 3.0.3 is available.Finding: no code changes needed
The codebase is already pandas-3 compatible. Static scan + runtime verification:
applymap/df.append/Series.append(removed in 3.0).inplace=True, on a freshly-built local frame (results.sort_values) — not a Copy-on-Write footgun.object-dtype assumptions; no breakage from the new default string dtype.FutureWarning/DeprecationWarningtreated as errors.Verification under pandas 3.0.3
Change
pandas>=1.5,<3→pandas>=1.5,<4(conservative<major+1ceiling, matchingscikit-learn<2). CI installs the latest 3.x via the range, so pandas 3 is now exercised on every run — the durable regression guard, no extra test needed.🤖 Generated with Claude Code