groupBy . The main method is the agg function, which has multiple variants. ... Pivots a column of the current DataFrame and perform the specified aggregation.
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spark-dataframe-groupby-agg-multiple-columns
grouped_multiple = df.groupby(['Team', 'Pos']).agg({'Age': ['mean', 'min', 'max']}) grouped_multiple.columns = ['age_mean', 'age_min', 'age_max'] ... 939c2ea5af
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