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Posted to jira@arrow.apache.org by "Sergey Mozharov (Jira)" <ji...@apache.org> on 2021/05/08 00:34:00 UTC
[jira] [Commented] (ARROW-12695) bool value of scalars depends on
data type
[ https://issues.apache.org/jira/browse/ARROW-12695?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17341080#comment-17341080 ]
Sergey Mozharov commented on ARROW-12695:
-----------------------------------------
Related issue: ARROW-12609
> bool value of scalars depends on data type
> ------------------------------------------
>
> Key: ARROW-12695
> URL: https://issues.apache.org/jira/browse/ARROW-12695
> Project: Apache Arrow
> Issue Type: Bug
> Components: Python
> Affects Versions: 4.0.0
> Environment: Windows 10
> python 3.9.4
> Reporter: Sergey Mozharov
> Priority: Major
>
> `pyarrow.Scalar` and its subclasses do not implement `__bool__` method. The default implementation does not seem to do the right thing. For example:
> {code:java}
> >>> import pyarrow as pa
> >>> na_value = pa.scalar(None, type=pa.int32())
> >>> bool(na_value)
> True
> >>> na_value = pa.scalar(None, type=pa.struct([('a', pa.int32())]))
> >>> bool(na_value)
> False
> >>> bool(pa.scalar(None, type=pa.list_(pa.int32())))
> Traceback (most recent call last):
> File "<stdin>", line 1, in <module>
> File "pyarrow\scalar.pxi", line 572, in pyarrow.lib.ListScalar.__len__
> TypeError: object of type 'NoneType' has no len()
> >>>
> {code}
> Please consider implementing `__bool__` method. It seems reasonable to delegate to the `__bool__` method of the wrapped object.
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