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https://issues.apache.org/jira/browse/ARROW-5208?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16870879#comment-16870879
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Artem KOZHEVNIKOV commented on ARROW-5208:
------------------------------------------
Just curiosity question : what was the reasons to have `python_to_arrow.cc`
module in pure c++ and not in cython let say ? (To be honest, I did not feel
myself confortable enough to contribute in c++...)
Passing mask argument into `InferArrowType` will also solve the case
`_is_array_like(obj) is True` (or in this case the inference is based on pandas
) ?
> [Python] Inconsistent resulting type during casting in pa.array() when mask
> is present
> --------------------------------------------------------------------------------------
>
> Key: ARROW-5208
> URL: https://issues.apache.org/jira/browse/ARROW-5208
> Project: Apache Arrow
> Issue Type: Bug
> Components: Python
> Affects Versions: 0.13.0
> Reporter: Artem KOZHEVNIKOV
> Assignee: Wes McKinney
> Priority: Major
> Fix For: 0.14.0
>
>
> I would expect Int64Array type in all cases below :
> {code:java}
> >>> pa.array([4, None, 4, None], mask=np.array([False, True, False, True]))
> >>>
> >>>
> <pyarrow.lib.Int64Array object at 0x91fad3a98> [4, null, 4, null ]
> >>> pa.array([4, None, 4, 'rer'], mask=np.array([False, True, False, True]))
> >>>
> >>>
> <pyarrow.lib.Int64Array object at 0x9201f23b8> [4, null, 4, null ]
> >>> pa.array([4, None, 4, 3.], mask=np.array([False, True, False, True]))
> >>>
> >>> <pyarrow.lib.DoubleArray object at 0x91fab7638> [ 4, null,
> >>> 4, null ]{code}
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