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https://issues.apache.org/jira/browse/ARROW-12099?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17310789#comment-17310789
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Malthe Borch commented on ARROW-12099:
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What I can perhaps add is that I imagine an API such as:
{code:java}
table.explode("a") # This would unroll the "a" array, but leave any other
array as it is.
table.explode("a, "b") # This would "zip" the provided columns.
{code}
That is, the interface would work strictly with already existing array columns.
> [Python] Explode array column
> -----------------------------
>
> Key: ARROW-12099
> URL: https://issues.apache.org/jira/browse/ARROW-12099
> Project: Apache Arrow
> Issue Type: New Feature
> Components: Python
> Reporter: Malthe Borch
> Priority: Major
>
> In Apache Spark,
> [explode|https://spark.apache.org/docs/latest/api/sql/index.html#explode]
> separates the elements of an array column (or expression) into multiple row.
> Note that each explode works at the top-level only (not recursively).
> This would also work with the existing
> [flatten|https://arrow.apache.org/docs/python/generated/pyarrow.Table.html#pyarrow.Table.flatten]
> method to allow fully unnesting a
> [pyarrow.StructArray|https://arrow.apache.org/docs/python/generated/pyarrow.StructArray.html#pyarrow-structarray].
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