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https://issues.apache.org/jira/browse/ARROW-2298?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16862275#comment-16862275
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Joris Van den Bossche commented on ARROW-2298:
----------------------------------------------
I am not sure I fully understand your question. I am passing a numpy array to
{{pa.array}}, and creating a numpy array with np.nan or None ({{np.array([1, 2,
None], dtype=float)}} or {{np.array([1, 2, np.nan], dtype=float)}}) give the
same float64 numpy array.
Also if you have a pandas object like {{pd.Series([1, 2, None])}} this will
actually be stored as a float array with np.nan.
> [Python] Add option to not consider NaN to be null when converting to an
> integer Arrow type
> -------------------------------------------------------------------------------------------
>
> Key: ARROW-2298
> URL: https://issues.apache.org/jira/browse/ARROW-2298
> Project: Apache Arrow
> Issue Type: Improvement
> Components: Python
> Reporter: Wes McKinney
> Priority: Major
> Labels: pull-request-available
> Fix For: 0.14.0
>
> Time Spent: 2h 10m
> Remaining Estimate: 0h
>
> Follow-on work to ARROW-2135
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