pandas sum multiple columns groupby
df.groupby(['col1','col2']).agg({'col3':'sum','col4':'sum'}).reset_index()pandas sum multiple columns groupby
df.groupby(['col1','col2']).agg({'col3':'sum','col4':'sum'}).reset_index()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)Copyright © 2021 Codeinu
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