Github user viirya commented on the issue:
https://github.com/apache/spark/pull/18732
Based on the doc of `pandas_udf`, we've already define pandas udf is an
user defined function (UDF) that accepts `Pandas.Series` as input arguments and
outputs a `Pandas.Series` of the same length. Is it a good idea to break this
definition and let pandas udf can accept `pandas.DataFrame`?
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