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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