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https://issues.apache.org/jira/browse/ARROW-86?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15214400#comment-15214400
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Wes McKinney commented on ARROW-86:
-----------------------------------
Note that because numpy.ndarray does not have any notion of null / NA, that if
{{null_count > 0}} then a copy is necessary. For numeric or boolean data
without any nulls, zero-copy would be great.
> Implement zero-copy Arrow-to-Pandas conversion
> ----------------------------------------------
>
> Key: ARROW-86
> URL: https://issues.apache.org/jira/browse/ARROW-86
> Project: Apache Arrow
> Issue Type: Improvement
> Components: Python
> Reporter: Uwe L. Korn
>
> For this to work, we need:
> * a check if the Arrow Array could be represented as Pandas Series using the
> same memory buffer
> * a {{numpy.ndarray}} subclass that keeps a reference to the Arrow Array
> With the NumPy C-API it is already possible to create a {{numpy.ndarray}}
> instance that uses the Arrow Array memory buffer internally but there is no
> way to keep track if the {{numpy.ndarray}} still lives or the underlying
> memory can be free'd.
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