My dataset contains columns of usersID and itemsID that they have purchased. Each user might have purchased more than 1 item.
I neeed to make a list so that the key will be the userID and the values the itemsID he purchased for example if user_1 has purchased [item_20,item_25,item_32], my dataset contains 3 rows for this user as follows
row_1= 1,20 row_2= 1,25 row_3= 1,32
I want my list to have the fromat {1: [20,25,32]}
I want to creat a list for all the users in my dataset as the example above.
if I understand correctly you want something like this!
Next time it would help to see what things you have tried
df = pd.DataFrame({'user': ['K0', 'K0', 'K2', 'K3', 'K4', 'K5'],
'product': ['A0', 'A1', 'A2', 'A3', 'A4', 'A5']})
my_final_list={}
grouped_df=df.groupby(by=["user"])
for key, item in grouped_df:
products_list=list(grouped_df.get_group(key)["product"])
my_final_list[key]=products_list
print(my_final_list)
The technical post webpages of this site follow the CC BY-SA 4.0 protocol. If you need to reprint, please indicate the site URL or the original address.Any question please contact:yoyou2525@163.com.