Yikun commented on a change in pull request #34717:
URL: https://github.com/apache/spark/pull/34717#discussion_r758898358
##########
File path: python/docs/source/user_guide/sql/arrow_pandas.rst
##########
@@ -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 issue
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
##########
File path: python/docs/source/user_guide/sql/arrow_pandas.rst
##########
@@ -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
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