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POC: consistent NaN treatment for pyarrow dtypes #61732
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31e65e0
BUG: Decimal(NaN) incorrectly allowed in ArrowEA constructor with tim…
jbrockmendel 9dcd8fb
GH ref
jbrockmendel 3fb47c7
BUG: ArrowEA constructor with timestamp type
jbrockmendel c18ab05
POC: consistent NaN treatment for pyarrow dtypes
jbrockmendel 74a2248
comment
jbrockmendel 9d8fef4
Down to 40 failing tests
jbrockmendel f47c746
Fix rank, json tests
jbrockmendel 083f705
CLN: remove outdated
jbrockmendel a340203
Fix where kludge
jbrockmendel 587e53f
update tests
jbrockmendel 734465c
Fix remaining tests
jbrockmendel d2aeeff
mypy fixup
jbrockmendel 73a95d2
old-numpy compat
jbrockmendel ce28027
simplify
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This change means to use object dtype instead of converting NA to NaNs?
We initially did that for the masked arrays conversion to numpy, but then changed it use NaNs, because constantly getting object dtype was too annoying (there is some issue discussing this IIRC)
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Yes.