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https://issues.apache.org/jira/browse/ARROW-2298?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16646743#comment-16646743
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Jakub Okoński commented on ARROW-2298:
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This is a major blocker for my usecase. Can you please advise how to implement
this?
Is the conceptual solution as simple as "when we see a nullable integer field
in schema, and numpy type for that field is float64, we treat NaNs as nulls and
cast everything else to the integer type"?
> [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
>
> Follow-on work to ARROW-2135
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