Xiao Li resolved SPARK-14932.
       Resolution: Fixed
         Assignee: Bravo Zhang
    Fix Version/s: 2.3.0

> 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
>            Assignee: Bravo Zhang
>            Priority: Minor
>              Labels: starter
>             Fix For: 2.3.0
> 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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