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Posted to issues@spark.apache.org by "Hyukjin Kwon (Jira)" <ji...@apache.org> on 2022/03/24 02:27:00 UTC
[jira] [Commented] (SPARK-38637) pyspark.pandas.config.OptionError: "No such option: 'mode.chained_assignment'
[ https://issues.apache.org/jira/browse/SPARK-38637?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17511555#comment-17511555 ]
Hyukjin Kwon commented on SPARK-38637:
--------------------------------------
cc [~itholic] [~XinrongM] FYI
> 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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