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Jim Huang commented on SPARK-40500: ----------------------------------- Just to provide a better context of the situation between Pandas v2.+ with Spark Python APIs. Basically starting with Pandas 2.0.0 release, there is [a long list of removal of (Pandas) deprecations/changes published|https://pandas.pydata.org/docs/dev/whatsnew/v2.0.0.html#removal-of-prior-version-deprecations-changes]. This current SPARK-40500, [Pandas DataFrame.iteritems()](https://github.com/pandas-dev/pandas/issues/45321) addresses only one of many in that list. Is there a more holistic or comprehensive effort that has already being done that identifies all the incompatibilities between Pandas v2+ & Spark Python Pandas APIs? If the answer is "yes", how can I find this information? Is it in the form of "tag:value" that I can search for or there is an umbrella JIRA that is handling this? I am simply guessing that the backporting (idea) effort might benefit from getting synced / caught up with the current Pandas v2+ API first. Thank you. > Use `pd.items` instead of `pd.iteritems` > ---------------------------------------- > > Key: SPARK-40500 > URL: https://issues.apache.org/jira/browse/SPARK-40500 > Project: Spark > Issue Type: Improvement > Components: Pandas API on Spark > Affects Versions: 3.4.0 > Reporter: Ruifeng Zheng > Assignee: Ruifeng Zheng > Priority: Minor > Fix For: 3.4.0 > > -- This message was sent by Atlassian Jira (v8.20.10#820010) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org