multiple criteria for aggregation on pySpark Dataframe

Question

I have a pySpark dataframe that looks like this:

+-------------+----------+
|          sku|      date|
+-------------+----------+
|MLA-603526656|02/09/2016|
         


        

Answer 1

You cannot use dict. Use:

>>> from pyspark.sql import functions as F
>>>
>>> df_testing.groupBy('sku').agg(F.min('date'), F.max('date'))