Yikun commented on a change in pull request #34717:
URL: https://github.com/apache/spark/pull/34717#discussion_r758898358
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File path: python/docs/source/user_guide/sql/arrow_pandas.rst
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@@ -387,7 +387,7 @@ working with timestamps in ``pandas_udf``\s to get the best
performance, see
Recommended Pandas and PyArrow Versions
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
-For usage with pyspark.sql, the minimum supported versions of Pandas is 0.23.2
and PyArrow is 1.0.0.
+For usage with pyspark.sql, the minimum supported versions of Pandas is 1.0.5
and PyArrow is 1.0.0.
Review comment:
How about:
For usage with pyspark.sql, the minimum supported versions of Pandas is
**1.0.5** and PyArrow is 1.0.0. **Lower versions (such as there are some known
issues under with v1.0.0, v1.0.1, see more in
[link](https://github.com/apache/spark/pull/34717)) or** higher versions may be
used, however, compatibility and data correctness can not be guaranteed and
should be verified by the user.
Maybe need more suggestion from native speaker. T_T, and if it's necessary
we could do it in next commits in this PR or followup.
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