Question

我已经对购买历史记录数据进行了RFM分析。

根据RFM类别，我对客户进行了细分，因为我的某些客户属于多个类别，因此我必须将客户细分为所属的类别，并添加到我的rfm表中（添加单独的“ segment”列）< / p>

CardNo最近频率货币R_Quartile F_Quartile M_Quartile RFMClass段

我的rfmtable列类似于上面的内容，但我想将其添加到rfm表中的“段”列除外

我到目前为止所做的是

for card_no in rfmSegmentation['CardNo']:
>     for num in rfmSegmentation['RFMClass']:
>         num = str(num)
>         if int(num[0])==1 and int(num[1])==1 and int(num[2])==1:
>             print("RFM_class",num,"cardno",card_no,"Best Customer")
>         elif int(num[1])==1:
>             print("RFM_class",num,"cardno",card_no,"Loyal Customer")
>         elif int(num[2])==1:
>             print("RFM_class",num,"cardno",card_no,"Big Spender")
>         elif int(num[0])==3 and int(num[1])==1 and int(num[2])==1:  
>             print("RFM_class",num,"cardno",card_no,"Almost Lost")        
>         elif int(num[0])==4 and int(num[1])==1 and int(num[2])==1:   
>             print("RFM_class",num,"cardno",card_no,"Lost Customer")
>         elif int(num[0])==4 and int(num[1])==4 and int(num[2])==4:  
>             print("RFM_class",num,"cardno",card_no,"Lost Cheap Customer")

它打印每个客户的细分，但我想将此添加为rfmtable中的单独列并将其转换为CSV文件

任何帮助将不胜感激

Answer 1

 > I think I found a solution
    > 
    > segment = []
    > 
    >  for row in rfmSegmentation['RFMClass']:
    >     row = str(row)
    >     if int(row[0])==1 and int(row[1])==1 and int(row[2])==1:
    >         segment.append('Best Customer')
    >     elif int(row[1])==1:
    >         segment.append('Loyal Customer')
    >     elif int(row[2])==1:
    >         segment.append('Big Spender')
    >     elif int(row[0])==3 and int(row[1])==1 and int(row[2])==1:
    >         segment.append('Almost Lost')
    >     elif int(row[0])==4 and int(row[1])==1 and int(row[2])==1: 
    >         segment.append('Lost Customer')
    >     elif int(row[0])==4 and int(row[1])==4 and int(row[2])==4:
    >         segment.append('Lost Cheap Customer')
    >     else:
    >         segment.append('Failed')
    >         
    >  rfmSegmentation['segment'] = segment

根据RFM分数细分客户并创建pandas DataFrame

1 个答案: