Github user shaneknapp commented on a diff in the pull request:
https://github.com/apache/spark/pull/19325#discussion_r140848562
--- Diff: python/pyspark/sql/functions.py ---
@@ -2183,14 +2183,29 @@ def pandas_udf(f=None, returnType=StringType()):
:param f: python function if used as a standalone function
:param returnType: a :class:`pyspark.sql.types.DataType` object
- # TODO: doctest
+ >>> from pyspark.sql.types import IntegerType, StringType
+ >>> slen = pandas_udf(lambda s: s.str.len(), IntegerType())
+ >>> @pandas_udf(returnType=StringType())
--- End diff --
adding @JoshRosen too.
the doc building node (amp-jenkins-worker-01) doesn't have arrow installed
for the default conda python 2.7 environment. for the python 3 environment,
we're running arrow 0.4.0.
i looked at the script and it seems to be agnostic to python 2 vs 3...
once i know which version of python we'll be running i can make sure that the
version of arrow installed is correct.
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