從字典中提取類似數據並放入新列表或數組

Question

我有一個帶5個鍵的詞典，每個鍵指的是一個列表（一個包含100行和5列的CSV文件）。列表的每一行都指向一個人的數據。我想提取每個列表中的相似行並放入新列表或數組中。所以最後我應該有100個列表/數組，以便每個列表/數組包含用戶的數據。然後我想做一些實驗，如機器學習等等。

這是我的例子：

My_dict={0,1,2,3} 

0={id,var1,var2,var3 
    User1,med,high,low 
    User2,med,low,low 
    …,…,..,.., 
    User100,hih,low,med} 

1={id,var1,var2,var3 
    User1,high,med,low 
    User2,high,med,low 
    …,…,..,.., 
    User100,low,low,med} 

2={id,var1,var2,var3 
    User1,low,med,low 
    User2,med,med,low 
    …,…,..,.., 
    User100,med,low,med} 

所以我想有列表或者說，我可以體驗數組的數組列表。事情是這樣的：

User1={id,var1,var2,var3 
    User1,med,high,low 
    User1,high,med,low 
    User1,low,med,low 
} 

User2={d,var1,var2,var3 
    User2,med,high,low 
    User2,high,med,low 
    User2,low,med,low 
} 

Answer 1

input_data = {"0":[["U1","med","low","high"],["U2","low","low","high"],["U3","high","low","high"]], "1": [["U1","med","low","high"],["U2","low","low","high"],["U3","high","low","high"]]} 


# Assuming that above kind of data you have then below dict will be your output 

users_dict = dict() 
for key, users in input_data.iteritems(): 
    for user in users: 
     users_dict.setdefault(user[0], []).append(user)