group = pd.cut(data['Age'], bins = [0,40,50,100], labels = ['young', 'junior','senior'])
iloc는 인덱스 추출
temp.groupby(['Date', 'Category'], as_index = False)['Qty'].sum()
temp2 = pd.merge(temp, stores) temp2.groupby('State', as_index = False)['Amt'].sum().sort_values('Amt', ascending = False).head(3)