jorisvandenbossche commented on code in PR #43818:
URL: https://github.com/apache/arrow/pull/43818#discussion_r1732717576
##########
python/pyarrow/parquet/core.py:
##########
@@ -1163,13 +1163,13 @@ def _get_pandas_index_columns(keyvalues):
buffer_size : int, default 0
If positive, perform read buffering when deserializing individual
column chunks. Otherwise IO calls are unbuffered.
-partitioning : pyarrow.dataset.Partitioning or str or list of str, \
+partitioning : :py:class:`pyarrow.dataset.Partitioning` or str or list of str,
\
Review Comment:
OK, looking at
https://arrow.apache.org/docs/python/generated/pyarrow.parquet.write_to_dataset.html,
I see this works for several other pyarrow objects automatically, but indeed
not for `Partitioning`.
The page does exist
(https://arrow.apache.org/docs/python/generated/pyarrow.dataset.Partitioning.html,
although not that informative ... it's the subclasses that have more
information), so not entirely sure why it doesn't work. Maybe something with
case insensitivity (and classing with `partitioning()`)?
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