[jira] [Created] (SPARK-38637) pyspark.pandas.config.OptionError: "No such option: 'mode.chained_assignment'

["Prakhar Sandhu (Jira)" <ji...@apache.org>]

Prakhar Sandhu created SPARK-38637:
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             Summary: 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


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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