Pandas: grouping and aggregation with multiple functions

Question

Situation

I have a pandas dataframe defined as follows:

import pandas as pd

headers = [\'Group\', \'Element\', \'Case\', \'Score\', \'Evaluation\'         


        

Answer 1

My Take

g = df.set_index('Group').groupby(level='Group', group_keys=False)

result = g.apply(
    pd.DataFrame.nlargest, n=1, columns='Score'
)

def f(x):
    x = 'value' if x == 'Score' else x
    return 'Max_score_' + x.lower()

result.drop('Evaluation', 1).rename(columns=f).assign(
    Min_evaluation=g.Evaluation.min().values).reset_index()

  Group  Max_score_element Max_score_case  Max_score_value  Min_evaluation
0     A                  1              y             9.19            0.41
1     B                  2              x             9.12            0.10