Xiao Li created SPARK-24796:
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Summary: Support GROUPED_AGG_PANDAS_UDF in Pivot
Key: SPARK-24796
URL: https://issues.apache.org/jira/browse/SPARK-24796
Project: Spark
Issue Type: Improvement
Components: PySpark, SQL
Affects Versions: 2.4.0
Reporter: Xiao Li
Currently, Grouped AGG PandasUDF is not supported in Pivot. It is nice to
support it.
{code}
# create input dataframe
from pyspark.sql import Row
data = [
Row(id=123, total=200.0, qty=3, name='item1'),
Row(id=124, total=1500.0, qty=1, name='item2'),
Row(id=125, total=203.5, qty=2, name='item3'),
Row(id=126, total=200.0, qty=500, name='item1'),
]
df = spark.createDataFrame(data)
from pyspark.sql.functions import pandas_udf, PandasUDFType
@pandas_udf('double', PandasUDFType.GROUPED_AGG)
def pandas_avg(v):
return v.mean()
from pyspark.sql.functions import col, sum
applied_df =
df.groupby('id').pivot('name').agg(pandas_avg('total').alias('mean'))
applied_df.show()
{code}
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