题解 | #筛选某店铺最有价值用户中消费最多前5名#
筛选某店铺最有价值用户中消费最多前5名
https://www.nowcoder.com/practice/58655010a7c34e9fb2b7b491c3f79ca4
# 测试数据
sales = pd.DataFrame({'user_id':['NC0008','NC0018','NC0021','NC0035','NC0036'],'recency':[186,19,151,8,262],'frequency':[5,13,3,4,2],'monetary':[2990,3648,629,4542,896]})
# 代码输出
sales['R_Quartile'] = pd.qcut(sales['recency'], [0, 0.25, 0.5, 0.75, 1],["4", "3", "2", "1"])
sales['F_Quartile'] = pd.qcut(sales['frequency'], [0, 0.25, 0.5, 0.75, 1],["1", "2", "3", "4"])
sales['M_Quartile'] = pd.qcut(sales['monetary'], [0, 0.25, 0.5, 0.75, 1],["1", "2", "3", "4"])
sales['RFMClass'] = sales[['R_Quartile', 'F_Quartile', 'M_Quartile']].apply(lambda x: ''.join(x), axis=1)
sales = sales[['user_id', 'recency', 'frequency', 'monetary', 'RFMClass']]
print(sales.head())
print()
sort_sales = sales[sales['RFMClass'] == '444'].sort_values('monetary',ascending=False)
print(sort_sales.head())
