What does the function: dataframe.groupby () return without any aggregate function? A Pandas object is created. Tags. 0. # Aggregate on the entire DataFrame without group df.agg ( {"age": "max"}).collect () # [Row (max (age)=5)] from pyspark.sql import functions as F df.agg (F.min (df.age)).collect () # [Row (min (age)=2)] Source: spark.apache.org. how can i aggregate without group by in pandas. That is to groupby and aggregate without losing the column which was grouped. Boud : If you don't want the groupby as an index, there is an argument for it to avoid further reset: df.groupby ('Id', as_index=False).agg (lambda x: set (x)) Collected from the Internet. Please contact [email protected] to delete if infringement. edited at2020-07-6.

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