Answers for "python groupby multiple columns and create new column in aggregate"

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

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Answers for "python groupby multiple columns and create new column in aggregate"

Code answers related to "python groupby multiple columns and create new column in aggregate"

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Answers for "python groupby multiple columns and create new column in aggregate"

Code answers related to "python groupby multiple columns and create new column in aggregate"

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