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Posted to reviews@spark.apache.org by holdenk <gi...@git.apache.org> on 2016/10/07 21:10:22 UTC
[GitHub] spark issue #12337: [SPARK-15566] Expose null checking function to Python la...
Github user holdenk commented on the issue:
https://github.com/apache/spark/pull/12337
So I'm curious what is the intention of this versus the existing isnull function? It seems like this might not be needed in which case we should consider closing the PR & JR (of course if there is a reason for it that I'm missing let me know - I spend a lot of time on Python but not a lot of time with DataFrames :))
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