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https://issues.apache.org/jira/browse/SPARK-35806?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon reassigned SPARK-35806:
------------------------------------

    Assignee: Haejoon Lee

> Mapping the `mode` argument to pandas in DataFrame.to_csv
> ---------------------------------------------------------
>
>                 Key: SPARK-35806
>                 URL: https://issues.apache.org/jira/browse/SPARK-35806
>             Project: Spark
>          Issue Type: Sub-task
>          Components: PySpark
>    Affects Versions: 3.2.0
>            Reporter: Haejoon Lee
>            Assignee: Haejoon Lee
>            Priority: Major
>
> pandas and pandas-on-Spark both have an argument named `mode` in the 
> [DataFrame.to_csv, 
> |https://koalas.readthedocs.io/en/latest/reference/api/databricks.koalas.DataFrame.to_csv.html]but
>  the acceptable strings are different.
> pandas can accept the "w", "w+", "a", "a+" where as pandas-on-Spark can 
> accept "append", "overwrite", "ignore", "error" or "errorifexists".
> We should map these acceptable strings to pandas.
> e.g. "w" will work as Spark's "overwrite". In addition, mode can take Spark's 
> "overwrite" too.



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