在python中列出索引超出范围

我写了一个这样的程序：

reader=csv.reader(open("lrgdata.csv")) 
headers = reader.next()              
Amt_Wtotal=0             
Amt_Dtotal=0 
dataW =[] 
dataD=[] 
counts_W=defaultdict(int)
counts_D=defaultdict(int)
for row in reader:
   if(row[28]=='W'):
      counts_W[row[5]] += 1
      Amt_Wtotal += float(row[6])
      dataW.append(Amt_Wtotal)
   else:
   counts_D[row[5]] += 1
   Amt_Dtotal += float(row[6])
   dataD.append(Amt_Dtotal)

当我使用412KB的文件运行此代码时，不会出现错误，但当我使用1.8MB的文件运行时，会出现以下错误：

if(row[28]=='W'): IndexError: list index out of range

我的档案是这样的

标题 价值观 你能告诉我如何找到两个数据集之间的相关性，这是一个列表吗

for row in reader:
    try:
        if(row[28]=='W'):
            counts_W[row[5]] += 1
            Amt_Wtotal += float(row[6])
            dataW.append(Amt_Wtotal)
        else:
            counts_D[row[5]] += 1
            Amt_Dtotal += float(row[6])
            dataD.append(Amt_Dtotal)
     except:
         #handle the exception here. 
         # "continue" will ignore it and move to the next item in the loop.
         # I suspect what you actually want is to duplicate the "else" clause here.

---

看起来1.8MB文件中有一行字段比预期的少。这不是文件的大小，而是其中的一行或多行。对于给定数据集defaultdict（，{'2239': 1, '1700': 1, '2458': 1, '10016': 1, '2056': 1, '2376': 1, '1965': 1, '1974': 1, '2425': 1, '21768': 1, '2069': 1, '2404': 1, '2402': 1, '1763': 1, '1762': 1, '1910': 1, '1746': 1, '10036': 1}) [3480.0, 7080.0, 10440.0, 13200.0, 16800.0, 20400.0, 23880.0, 27480.0, 30840.0, 38040.0, 41520.0, 44880.0, 48480.0, 52080.0, 55680.0, 59280.0, 62520.0, 66120.0, 67580.0, 69620.0, 69621.0]count==21，即我已在单独的列表中获取了金额，我是否可以将tat附加到字典中，以及如何访问它。您的意思是这回答了您的问题，还是仍然存在一些问题？先生，请回答上述问题]

2,M,17748,60,60,21768,1460.0,7,2011-04-02 00:00:00,0,B,5,2011-07-22 03:03:00,52.0,1,1992,2011,2011,22,2,7,0,3,4,21768,1992-07-05 00:00:00,26,21768,W,50f38a469cf9c253d600000c,21768

1,M,18002,3,3,1746,3480.0,2,2011-04-07 00:00:00,0,B,5,2011-07-25 01:03:00,123.0,1,1985,2011,2011,25,7,7,0,1,4,1746,1985-02-05 00:00:00,3,1746,D,50f38a469cf9c253d600000d,1746

for row in reader:
    try:
        if(row[28]=='W'):
            counts_W[row[5]] += 1
            Amt_Wtotal += float(row[6])
            dataW.append(Amt_Wtotal)
        else:
            counts_D[row[5]] += 1
            Amt_Dtotal += float(row[6])
            dataD.append(Amt_Dtotal)
     except:
         #handle the exception here. 
         # "continue" will ignore it and move to the next item in the loop.
         # I suspect what you actually want is to duplicate the "else" clause here.