Nicholas Chammas created SPARK-14932:
----------------------------------------
Summary: 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
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()}}.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
