Github user HyukjinKwon commented on a diff in the pull request:
https://github.com/apache/spark/pull/19325#discussion_r140938172
--- Diff: python/pyspark/sql/functions.py ---
@@ -2183,14 +2187,28 @@ 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())
+ ... def to_upper(s):
+ ... return s.str.upper()
+ ...
+ >>> @pandas_udf(returnType="integer")
+ ... def add_one(x):
+ ... return x + 1
+ ...
+ >>> df = spark.createDataFrame([(1, "John Doe", 21)], ("id", "name",
"age"))
+ >>> df.select(slen("name").alias("slen(name)"), to_upper("name"),
add_one("age")) \\
+ ... .show() # doctest: +SKIP
--- End diff --
Looks actually we do :). Let me test this one for sure in my local before
merging it, (I have `pypy` installed in my local that does not have `pyarrow`
or `pandas`).
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