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https://issues.apache.org/jira/browse/ARROW-1633?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16190697#comment-16190697
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Wes McKinney commented on ARROW-1633:
-------------------------------------
Hm, this is a little bit tricky.
* Is NumPy always UCS4 (or is it sometimes UCS2)?
* Is the appopriate action to convert UCS4 to UTF-8 here or to convert to
binary unmodified?
I'm going to move off 0.8.0 as the semantics here bear some discussion. I'd
like to understand the use cases a bit better
> [Python] numpy "unicode" arrays not understood
> ----------------------------------------------
>
> Key: ARROW-1633
> URL: https://issues.apache.org/jira/browse/ARROW-1633
> Project: Apache Arrow
> Issue Type: Bug
> Affects Versions: 0.7.0
> Reporter: Nick White
> Fix For: 1.0.0
>
>
> {code}
> import numpy as np
> pa.StringArray.from_pandas(np.empty(1, np.unicode))
> {code}
> Throws:
> {noformat}
> ---------------------------------------------------------------------------
> ArrowNotImplementedError Traceback (most recent call last)
> <ipython-input-68-f9bc946f2c0a> in <module>()
> 1 import numpy as np
> ----> 2 pa.StringArray.from_pandas(np.empty(1, np.unicode))
> array.pxi in pyarrow.lib.Array.from_pandas()
> error.pxi in pyarrow.lib.check_status()
> ArrowNotImplementedError: Unsupported numpy type 19
> {noformat}
> np.object arrays work, though...
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