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https://issues.apache.org/jira/browse/ARROW-1632?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16378895#comment-16378895
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ASF GitHub Bot commented on ARROW-1632:
---------------------------------------
xhochy commented on a change in pull request #1620: ARROW-1632: [Python] Permit
categorical conversions in Table.to_pandas on a per-column basis
URL: https://github.com/apache/arrow/pull/1620#discussion_r170985309
##########
File path: cpp/src/arrow/python/arrow_to_pandas.h
##########
@@ -64,6 +66,16 @@ ARROW_EXPORT
Status ConvertTableToPandas(PandasOptions options, const
std::shared_ptr<Table>& table,
int nthreads, MemoryPool* pool, PyObject** out);
+/// Convert a whole table as efficiently as possible to a pandas.DataFrame.
+///
+/// Explicitly name columns that should be a categorical
+/// This option is only used on conversions that are applied to a table.
+ARROW_EXPORT
+Status ConvertTableToPandas(PandasOptions options,
+ const std::unordered_set<std::string>&
categorical_columns,
Review comment:
I was looking at doing that but the options structure also makes sense on a
per-column basis (and we use it for that) bur the column list is only useful in
the Table case.
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> [Python] Permit categorical conversions in Table.to_pandas on a per-column
> basis
> --------------------------------------------------------------------------------
>
> Key: ARROW-1632
> URL: https://issues.apache.org/jira/browse/ARROW-1632
> Project: Apache Arrow
> Issue Type: Improvement
> Components: Python
> Reporter: Wes McKinney
> Assignee: Uwe L. Korn
> Priority: Major
> Labels: pull-request-available
> Fix For: 0.9.0
>
>
> Currently this is all or nothing
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