pandas 3 support: convert Arrow extension columns; lift pandas<3 pin - #8
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jefferis wants to merge 2 commits into
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pandas 3 support: convert Arrow extension columns; lift pandas<3 pin#8jefferis wants to merge 2 commits into
jefferis wants to merge 2 commits into
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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 @@
## ci-provision-pandas-pin #8 +/- ##
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+ Coverage 66.18% 67.47% +1.28%
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Files 6 6
Lines 485 495 +10
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+ Hits 321 334 +13
+ Misses 164 161 -3 ☔ View full report in Codecov by Harness. 🚀 New features to boost your workflow:
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Stacked on #7 — base is
ci-provision-pandas-pin, notmain. Merge #7 first; GitHub will then retarget this tomainand the diff collapses to just the two commits below. Hold until the wider ecosystem is ready for pandas 3.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. Newis_string_dtype()helper + tests exercisingstring[pyarrow]andint64[pyarrow].R/env.R— lift thepandas < 3pin back topandas, now thatpandas2df()handles the Arrow dtype; NEWS/comment updated.Verification
Verified on CI against real pandas 3.0.5 (via a temporary unpin during development): 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).