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[MINOR] Fixed up pandas_udf related docs and formatting #19375

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[MINOR] Fixed up pandas_udf related docs and formatting #19375

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6 changes: 3 additions & 3 deletions python/pyspark/serializers.py
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Original file line number Diff line number Diff line change
Expand Up @@ -191,7 +191,7 @@ def loads(self, obj):

class ArrowSerializer(FramedSerializer):
"""
Serializes an Arrow stream.
Serializes bytes as Arrow data with the Arrow file format.
"""

def dumps(self, batch):
Expand Down Expand Up @@ -239,7 +239,7 @@ class ArrowStreamPandasSerializer(Serializer):

def dump_stream(self, iterator, stream):
"""
Make ArrowRecordBatches from Pandas Serieses and serialize. Input is a single series or
Make ArrowRecordBatches from Pandas Series and serialize. Input is a single series or
a list of series accompanied by an optional pyarrow type to coerce the data to.
"""
import pyarrow as pa
Expand All @@ -257,7 +257,7 @@ def dump_stream(self, iterator, stream):

def load_stream(self, stream):
"""
Deserialize ArrowRecordBatchs to an Arrow table and return as a list of pandas.Series.
Deserialize ArrowRecordBatches to an Arrow table and return as a list of pandas.Series.
"""
import pyarrow as pa
reader = pa.open_stream(stream)
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6 changes: 2 additions & 4 deletions python/pyspark/sql/functions.py
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Expand Up @@ -2199,16 +2199,14 @@ def pandas_udf(f=None, returnType=StringType()):
...
>>> 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
... .show() # doctest: +SKIP
+----------+--------------+------------+
|slen(name)|to_upper(name)|add_one(age)|
+----------+--------------+------------+
| 8| JOHN DOE| 22|
+----------+--------------+------------+
"""
wrapped_udf = _create_udf(f, returnType=returnType, vectorized=True)

return wrapped_udf
return _create_udf(f, returnType=returnType, vectorized=True)


blacklist = ['map', 'since', 'ignore_unicode_prefix']
Expand Down