按行和列讀取並比較2個CSV文件

Question

我有兩個CSV文件。 data.csv和data2.csv。

我想首先將兩個數據文件剝離成我感興趣的數據。我已經用data.csv計算了這部分內容。然後，我想按行進行比較，以確保是否缺少一行來添加它。

接下來，我想看看第2列。如果有一個價值有那麼我想寫信給第3列，如果在第3列數據，然後寫入4等

我現在的程序看起來像母豬。需要一些指導

哦，我使用Python V3.4

__author__ = 'krisarmstrong' 

#!/usr/bin/python 

import csv 

searched = ['aircheck', 'linkrunner at', 'onetouch at'] 


def find_group(row): 
    """Return the group index of a row 
     0 if the row contains searched[0] 
     1 if the row contains searched[1] 
     etc 
     -1 if not found 
    """ 
    for col in row: 
     col = col.lower() 
     for j, s in enumerate(searched): 
      if s in col: 
       return j 
     return -1 


inFile = open('data.csv') 
reader = csv.reader(inFile) 
inFile2 = open('data2.csv') 
reader2 = csv.reader(inFile2) 
outFile = open('data3.csv', "w") 
writer = csv.writer(outFile, delimiter=',', quotechar='"', quoting=csv.QUOTE_ALL) 

header = next(reader) 
header2 = next(reader2) 


"""Built a list of items to sort. If row 12 contains 'LinkRunner AT' (group 1), 
    one stores a triple (1, 12, row) 
    When the triples are sorted later, all rows in group 0 will come first, then 
    all rows in group 1, etc. 
""" 

stored = [] 
writer.writerow([header[0], header[3]]) 

for i, row in enumerate(reader): 
    g = find_group(row) 
    if g >= 0: 
     stored.append((g, i, row)) 
stored.sort() 

for g, i, row in stored: 
    writer.writerow([row[0], row[3]]) 

inFile.close() 
outFile.close() 

Answer 1

也許嘗試：

import csv 
with open('some.csv', 'rb') as f: 
    reader = csv.reader(f) 
    for row in reader: 
     col1.append(row[0]) 
     col2.append(row[1]) 

for i in xrange(len(col1)) 
    if col1[i] == '': 
     #thing to do if there is nothing for col1 
    if col2[i] == '': 
     #thing to do if there is nothing for col2 

這是在「確保，如果行缺少添加它開始」。