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https://issues.apache.org/jira/browse/ARROW-12813?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17346324#comment-17346324
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Antoine Pitrou commented on ARROW-12813:
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It could be exposed in Python/R without being a compute function.
That said, {{np.full}} is intrinsically more useful than an Arrow equivalent
because Numpy arrays are mutable.
> [C++] Support for a `full` compute function
> -------------------------------------------
>
> Key: ARROW-12813
> URL: https://issues.apache.org/jira/browse/ARROW-12813
> Project: Apache Arrow
> Issue Type: Improvement
> Components: C++
> Reporter: Weston Pace
> Priority: Major
>
> Given a scalar value and a length return an array where all values are equal
> to the scalar value.
> The name "full" is derived from
> [https://numpy.org/doc/stable/reference/generated/numpy.full.html] but if
> anyone has a more clever name please recommend it.
> There are a number of utility functions in C++ that do this already.
> However, exposing this as a compute function would allow R/Python to easily
> generate arrays.
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