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Pivot on multiple columns

memo
New Contributor II

I want to pass multiple column as argument to pivot a dataframe  in pyspark pivot like

mydf.groupBy("id").pivot("day","city").agg(F.sum("price").alias("price"),F.sum("units").alias("units")).show().
 
One way I found is to create multiple df with different pivot and join them which will result in multiple scan. But is there any other way to do this?
1 REPLY 1

memo
New Contributor II

Like how will the pass multiple values to the pivot function? It only takes one argument. I tried with sending an array, list. But it is throwing errors

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