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Posted to jira@arrow.apache.org by "Vlad Firoiu (Jira)" <ji...@apache.org> on 2021/12/09 21:14:00 UTC
[jira] [Created] (ARROW-15050) pyarrow.scalar doesn't accept nested pyarrow values
Vlad Firoiu created ARROW-15050:
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Summary: pyarrow.scalar doesn't accept nested pyarrow values
Key: ARROW-15050
URL: https://issues.apache.org/jira/browse/ARROW-15050
Project: Apache Arrow
Issue Type: Bug
Components: Python
Reporter: Vlad Firoiu
Easiest explained in code:
{code:python}
import pyarrow as pa
t1 = pa.struct([('x', pa.int64())])
t2 = pa.struct([('y', t1)])
t1_py = {'x', 0}
t1_pa = pa.scalar(t1_py, type=t1)
t2_py = {'y': {'x': 0}}
t2_pa = pa.scalar(t2_py, type=t2) # works
t2_mixed = {'y': t1_pa}
t2_pa_mix = pa.scalar(t2_mixed, type=t2) # fails
assert t2_pa_mix == t2_pa
{code}
Is there some other way to construct pyarrow struct value corresponding to {{t2_pa}} given {{t1_pa}} directly, without going into python first?
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