Answers for "pandas aggregate on multiple columns"

12

dataframe groupby multiple columns

grouped_multiple = df.groupby(['Team', 'Pos']).agg({'Age': ['mean', 'min', 'max']})
grouped_multiple.columns = ['age_mean', 'age_min', 'age_max']
grouped_multiple = grouped_multiple.reset_index()
print(grouped_multiple)
Posted by: Guest on October-15-2020
0

python - gropuby based on 2 variabels

df.groupby(['col5', 'col2']).size()
Posted by: Guest on January-04-2021

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