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https://issues.apache.org/jira/browse/ARROW-972?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16244675#comment-16244675
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ASF GitHub Bot commented on ARROW-972:
--------------------------------------
pcmoritz commented on a change in pull request #1216: ARROW-972: UnionArray in
pyarrow
URL: https://github.com/apache/arrow/pull/1216#discussion_r149787265
##########
File path: cpp/src/arrow/array.h
##########
@@ -612,12 +612,43 @@ class ARROW_EXPORT UnionArray : public Array {
const std::shared_ptr<Buffer>& null_bitmap = NULLPTR, int64_t
null_count = 0,
int64_t offset = 0);
+ /// \brief Construct Dense UnionArray from types_ids, value_offsets and
children
+ ///
+ /// This function does the bare minimum of validation of the offsets and
+ /// input types. The value_offsets are assumed to be well-formed.
+ ///
+ /// \param[in] type_ids An array of 8-bit signed integers, enumerated from
+ /// 0 corresponding to each type.
+ /// \param[in] value_offsets An array of signed int32 values indicating the
+ /// relative offset into the respective child array for the type in a given
slot.
+ /// The respective offsets for each child value array must be in order /
increasing.
+ /// \param[in] children Vector of children Arrays containing the data for
each type.
+ /// \param[out] out Will have length equal to value_offsets.length()
+ static Status FromDense(const Array& type_ids, const Array& value_offsets,
Review comment:
done
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> [Python] Add test cases and basic APIs for UnionArray
> -----------------------------------------------------
>
> Key: ARROW-972
> URL: https://issues.apache.org/jira/browse/ARROW-972
> Project: Apache Arrow
> Issue Type: New Feature
> Components: Python
> Affects Versions: 0.3.0
> Reporter: Wes McKinney
> Assignee: Philipp Moritz
> Labels: pull-request-available
> Fix For: 0.8.0
>
>
> While this is implemented in C++, there isn't any API exposure yet in Python
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