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https://issues.apache.org/jira/browse/SPARK-38637?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17517745#comment-17517745
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Haejoon Lee commented on SPARK-38637:
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[~pralabhkumar] Sure, pleas go ahead!
> pyspark.pandas.config.OptionError: "No such option: 'mode.chained_assignment'
> -----------------------------------------------------------------------------
>
> Key: SPARK-38637
> URL: https://issues.apache.org/jira/browse/SPARK-38637
> Project: Spark
> Issue Type: Bug
> Components: PySpark
> Affects Versions: 3.2.1
> Reporter: Prakhar Sandhu
> Priority: Major
>
> I replaced import pandas as pd to import pyspark.pandas as pd in my code.
> {code:java}
> pd.set_option("mode.chained_assignment", None) {code}
> The above command was working with pandas but this option is not available in
> pyspark.pandas .
> {code:java}
> pyspark.pandas.config.OptionError: "No such option:
> 'mode.chained_assignment'. Available options are [display.max_rows,
> compute.max_rows, compute.shortcut_limit, compute.ops_on_diff_frames,
> compute.default_index_type, compute.ordered_head,
> plotting.max_rows, plotting.sample_ratio, plotting.backend]" {code}
>
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