Question

我试图通过比较2个csv文件之间的列来打印出差异。

CSV1：

SERVER,   FQDN,   IP_ADDRESS,  
serverA, device1.com, 10.10.10.1  
serverA,device2.com,10.11.11.1  
serverC,device3.com,10.12.12.1   
and so on..

CSV2：

FQDN, IP_ADDRESS, SERVER,  LOCATION  
device3.com,10.12.12.1,serverC,xx  
device679.com,20.3.67.1,serverA,we  
device1.com,10.10.10.1,serverA,ac  
device345.com,192.168.2.0,serverA,ad  
device2.com,192.168.6.0,serverB,af  
and so on...

我要做的是比较FQDN列并将差异写入新的csv输出文件。所以我的输出看起来像这样：

Output.csv：

FQDN, IP_ADDRESS, SERVER, LOCATION  
device679.com,20.3.67.1,serverA,we  
device345.com,192.168.2.0,serverA,ad  
and so on..

我试过了，但无法获得输出。

这是我的代码，请告诉我哪里出错了;

import csv

data = {}  # creating list to store the data

with open('CSV1.csv', 'r') as lookuplist:
 reader1 = csv.reader(lookuplist)
 for col in reader1:
    DATA[col[0]] = col[1]

with open('CSV2.csv', 'r') as csvinput, open('Output.csv', 'w', newline='') as f_output:
 reader2 = csv.reader(csvinput)
 csv_output = csv.writer(f_output)
 fieldnames = (['FQDN', 'IP_ADDRESS', 'SERVER'])
 csv_output.writerow(fieldnames)  # prints header to the output file

    for col in reader1:
     if col[1] not in reader2:
        csv_output.writerow(col)

（编辑）这是我使用的另一种方法：

import csv

f1 = (open("CSV1.csv"))
f2 = (open("CSV2.csv"))

csv_f1 = csv.reader(f1)
csv_f2 = csv.reader(f2)

for col1, col2 in zip(csv_f1, csv_f2):
    if col2[0] not in col1[1]:
    print(col2[0])

基本上，我在这里只是想先找出是否打印了不匹配的FQDN。但它打印出整个CSV1列。请帮助大家，很多研究已经进入了这个，但发现没有运气！：（

Answer 1

此代码使用内置difflib吐出file1.csv中file2.csv未出现的行，反之亦然。

我使用Differ对象来识别换行。我假设您不会将换行视为差异，这就是我添加sorted()函数调用的原因。

from difflib import Differ
csv_file1 = sorted(open("file1.csv", 'r').readlines())
csv_file2 = sorted(open("file2.csv", 'r').readlines())
with open("diff.csv", 'w') as f:
    for line in Differ().compare(csv_file1,csv_file2)):
        dmode, line = line[:2], line[2:]
        if dmode.strip() == "":
            continue
        f.write(line + "\n")

请注意，如果该行有所不同（不仅在FQDN列中），它将显示在diff.csv

中

Answer 2

import csv

data = {}  # creating list to store the data

with open('CSV1.csv', 'r') as lookuplist, open('CSV2.csv', 'r') as csvinput, open('Output.csv', 'w') as f_output:
 reader1 = csv.reader(lookuplist)
 reader2 = csv.reader(csvinput)
 csv_output = csv.writer(f_output)
 fieldnames = (['FQDN', 'IP_ADDRESS', 'SERVER', 'LOCATION'])
 csv_output.writerow(fieldnames)  # prints header to the output file
 _tempFqdn = []
 for i,dt in enumerate(reader1):
     if i==0:
         continue
     _tempFqdn.append(dt[1].strip())
 for i,col in enumerate(reader2):
     if i==0:
         continue
     if col[0].strip() not in _tempFqdn:
         csv_output.writerow(col)

Answer 3

import csv

data = {}  # creating dictionary to store the data

with open('CSV1.csv', 'r') as lookuplist:
reader1 = csv.reader(lookuplist)
for col in reader1:
    data[col[1]] = col[1]  # stores the data from column 0 to column 1 in the data list

with open('CSV2.csv', 'r') as csvinput, open('Output.csv', 'w', newline='') as f_output:
reader2 = csv.reader(csvinput)
csv_output = csv.writer(f_output)
fieldnames = (['SERVER', 'FQDN', 'AUTOMATION_ADMINISTRATOR', 'IP_ADDRESS', 'PRIMARY_1', 'MHT_1', 'MHT_2',
               'MHT_3'])
csv_output.writerow(fieldnames)  # prints header to the output file

for col in reader2:
    if col[0] not in data:  # if the column 1 in CSV1 does not match with column 0 in CSV2 Extract
    col = [col[0]]


        csv_output.writerow(col)  # writes all the data that is matched in CMDB WLC Extract

所以基本上，我只需要改变＆＃39;不要在＆＃39;在＆＃39; for循环＆＃39;并更改将从我正在创建的CSV1文件中读取的数据列表中的列。

比较2个csv文件之间的列，并使用Python编写差异

3 个答案: