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https://issues.apache.org/jira/browse/SPARK-39568?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17558070#comment-17558070
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Gokul Yalavarti commented on SPARK-39568:
-----------------------------------------
Used sample data to explain issue, Please provide if there is any better
solution.
I need to insert values in database with None as Null and all columns should be
string for my use case.
> when using df.astype("str") on pyspark dataframe. None are converted "None"
> ---------------------------------------------------------------------------
>
> Key: SPARK-39568
> URL: https://issues.apache.org/jira/browse/SPARK-39568
> Project: Spark
> Issue Type: Improvement
> Components: Pandas API on Spark
> Affects Versions: 3.3.0
> Environment: Tried on azure databricks.
> Reporter: Gokul Yalavarti
> Priority: Major
> Attachments: chrome_M3JLsVzzb2.png,
> image-2022-06-23-18-33-42-324.png, loan200 - Copy.csv
>
>
> when using df.astype("str") on pyspark dataframe. None are converted "None".
>
> - Not able to keep Null values as None. instead it is converted to string
> "None" for whole column.
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