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https://issues.apache.org/jira/browse/SPARK-14932?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15734426#comment-15734426
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Bravo Zhang commented on SPARK-14932:
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[~nchammas] Can your use case be done by filter?
df.filter(df.name == "")
> Allow DataFrame.replace() to replace values with None
> -----------------------------------------------------
>
> Key: SPARK-14932
> URL: https://issues.apache.org/jira/browse/SPARK-14932
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Reporter: Nicholas Chammas
> Priority: Minor
> Labels: starter
>
> Current doc:
> http://spark.apache.org/docs/1.6.1/api/python/pyspark.sql.html#pyspark.sql.DataFrame.replace
> I would like to specify {{None}} as the value to substitute in. This is
> currently
> [disallowed|https://github.com/apache/spark/blob/9797cc20c0b8fb34659df11af8eccb9ed293c52c/python/pyspark/sql/dataframe.py#L1144-L1145].
> My use case is for replacing bad values with {{None}} so I can then ignore
> them with {{dropna()}}.
> For example, I have a dataset that incorrectly includes empty strings where
> there should be {{None}} values. I would like to replace the empty strings
> with {{None}} and then drop all null data with {{dropna()}}.
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