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Posted to reviews@spark.apache.org by rxin <gi...@git.apache.org> on 2018/02/02 19:35:32 UTC

[GitHub] spark issue #16793: [SPARK-19454][PYTHON][SQL] DataFrame.replace improvement...

Github user rxin commented on the issue:

    https://github.com/apache/spark/pull/16793
  
    Sorry I object this change. Why would we put null as the default replace value, in a function called replace? That seems very counterintuitive and error prone.


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