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https://issues.apache.org/jira/browse/ARROW-971?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17116043#comment-17116043
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Wes McKinney edited comment on ARROW-971 at 5/25/20, 2:03 PM:
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The correct way to implement is now as {{arrow::compute::ScalarFunction}}
was (Author: wesmckinn):
The correct way to implement is as {{arrow::compute::ScalarFunction}}
> [C++/Python] Implement Array.isvalid/notnull/isnull as scalar functions
> -----------------------------------------------------------------------
>
> Key: ARROW-971
> URL: https://issues.apache.org/jira/browse/ARROW-971
> Project: Apache Arrow
> Issue Type: Improvement
> Components: C++
> Reporter: Wes McKinney
> Priority: Major
> Labels: dataframe
> Fix For: 2.0.0
>
> Time Spent: 0.5h
> Remaining Estimate: 0h
>
> For arrays with nulls, this amounts to returning the validity bitmap. Without
> nulls, an array of all 1 bits must be constructed. For isnull, the bits must
> be flipped (in this case, the un-set part of the new bitmap must stay 0,
> though).
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