pandas2df: convert Arrow / extension-array columns (pandas 3 ready, pin retained) - #9
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Recover pandas extension-array columns that reticulate leaves as raw python objects -- above all pandas 3.0's default Arrow-backed string dtype (PDEP-14). String columns (is_string_dtype: str/string/large_string family) become R character vectors; other Arrow columns (e.g. int64[pyarrow]) are classified like object columns, so Arrow-backed ids map to the same R types as native ones. Adds tests using explicit Arrow dtypes (reproducing the ArrowStringArray under pandas 2 + pyarrow) and regenerates pandas2df.Rd.
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Additional details and impacted files@@ Coverage Diff @@
## main #9 +/- ##
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+ Coverage 66.18% 66.66% +0.48%
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Files 6 6
Lines 485 495 +10
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+ Hits 321 330 +9
- Misses 164 165 +1 ☔ View full report in Codecov by Harness. 🚀 New features to boost your workflow:
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Makes nat.python ready for pandas 3 without changing the default install:
pandas2df()learns to convert pandas extension-array columns, butsimple_python()keeps thepandas < 3pin as the default (per maintainer decision, until the wider ecosystem settles). Supersedes #8 (auto-closed when its stacked base merged).Changes
R/convert.R—pandas2df()now converts pandas extension-array columns that reticulate leaves as raw python objects, in particular pandas 3.0's default Arrow-backed string dtype (PDEP-14): string columns become R character vectors, and other Arrow columns (e.g.int64[pyarrow]ids) map to the same R types as their native-dtype equivalents. New internalis_string_dtype()helper + tests exercisingstring[pyarrow]andint64[pyarrow].R/env.R— comment updated to record thatpandas2df()handles the Arrow dtype while thepandas < 3pin is deliberately retained (no behaviour change; still installspandas<3).Verification
The conversion code was verified on CI against real pandas 3.0.5 (during development, via a temporary unpin): test-coverage FAIL 0 SKIP 0 PASS 140; R-CMD-check FAIL 0 SKIP 3 (the pyarrow-gated Arrow tests skip only where pyarrow is absent). This PR keeps the pin, so its own CI runs on pandas 2.x + pyarrow. Lifting the pin later is a one-line change in
R/env.R(pandas<3→pandas).🤖 Generated with Claude Code