[
https://issues.apache.org/jira/browse/SPARK-40500?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17724387#comment-17724387
]
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
