Answers for "group by 2 columns pandas displaying multiple rows"

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

pandas group by multiple columns and count

df.groupby(['col1', 'col2']).size() 
   .sort_values(ascending=False) 
   .reset_index(name='count')
Posted by: Guest on May-01-2021

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