import pandas as pd 
sales = pd.read_csv('sales.csv',delimiter=',')
# 设置pandas显示配置,以显示完整的数据框
pd.set_option("display.width", 300) 
pd.set_option("display.max_rows", None)
pd.set_option("display.max_columns", None)
sales['R_Quartile'] = pd.qcut(sales['recency'],4,labels=[4,3,2,1]).astype(str)
sales['F_Quartile'] = pd.qcut(sales['frequency'],4,labels=[1,2,3,4]).astype(str)
sales['M_Quartile'] = pd.qcut(sales['monetary'],4,labels=[1,2,3,4]).astype(str)
sales['RFMClass'] = sales['R_Quartile']+sales['F_Quartile']+sales['M_Quartile']
sales.drop(columns=['R_Quartile','F_Quartile','M_Quartile'],inplace=True)

print(sales.head(5))
print('\n')
res = sales[sales['RFMClass']=='444'].sort_values('monetary',ascending=False).head(5)
print(res.head(5))