Python：將CSV文件轉換爲不帶csv模塊的字典

Question

我知道還有很多其他問題與答案，但我想知道如何將CSV文件讀入嵌套字典。因此，它會從事情是這樣的：

'''"YEAR","GENDER","NAME","COUNT" 
    "2011","FEMALE","A","100" 
    "2012","FEMALE","A","50" 
    "2012","FEMALE","B","10" 
    "2012","FEMALE","C","10" 
    "2012","FEMALE","D","5" 
    "2013","FEMALE","A","1000" 
    ''' 

爲了這樣的事情：

{('B', 'FEMALE'): {2012: (10, None)}, 
('C', 'FEMALE'): {2012: (10, None)}, 
('A', 'FEMALE'): {2011: (100, None), 
        2012: (50, None), 
        2013: (1000, None)}, 
('D', 'FEMALE'): {2012: (5, None)}} 

但我需要做的是不導入任何東西，所以我不能使用CSV模塊。這是一個普遍的例子;我需要代碼來處理可能比這個更長或更短的多個案例。

（有11個文件總計，這是其中之一，這裏的文字，正是因爲它是在文件中：

"YEAR","GENDER","NAME","COUNT" 
    "2011","FEMALE","A","100" 
    "2012","FEMALE","A","50" 
    "2012","FEMALE","B","10" 
    "2012","FEMALE","C","10" 
    "2012","FEMALE","D","5" 
    "2013","FEMALE","A","1000" 

Answer 1

answer = {} 
with open('path/to/file') as infile: 
    infile.readline() # we don't care about the header row 
    for line in infile: 
     year, gender, name, count = (s.strip('"') for s in line.split(',')) 
     key = (name, gender) 
     if key not in answer: answer[key] = {} 
     answer[key][int(year)] = (int(count), None)