比较两个csv文件中的列，并将其写入python中的另一个文件

我有两个csv文件

具有如下文件路径、组和权限的文件1

/path/eds/aws/file1.dat,dp_card,640                                                       
/path/eds/aws/file2.dat,dp_card,600     
/path/edh/vs/file1.dat,dp_card,640    
/pth/edw/de/file1.dat,pdp_card,640      
/pth/edn/de/file1.dat,pdp_card,640

文件2的目录路径、组、批所有者如下

/path/eds/aws/,dp_card,dp_batchown    
/path/edh/vs/,dp_card,dp_batchown   
/path/edw/de/,pdp_card,dp_batchown

我想根据文件2中的路径比较两个文件。如果路径存在于文件1中，我想将文件名、组、权限、路径、组写入另一个文件

示例输出：

文件3

/path/eds/aws/file1.dat,dp_card,640,/path/eds/aws/,dp_card
/path/eds/aws/file2.dat,dp_card,600,/path/eds/aws/,dp_card
/path/edh/vs/file1.dat,dp_card,640,/path/edh/vs/,dp_card
/pth/edw/de/file1.dat,pdp_card,640,/path/edw/de/,dp_card

有人能帮我写上面的代码吗。我昨天就开始试了

到目前为止，我已经编写了代码

#!/usr/bin/python

import csv
import os.path

csv_dialect = dict(delimiter=',', quotechar='|')

path = set()
with open('hdfs','rb') as file_a : 
    reader1 = csv.reader(file_a, **csv_dialect)
    next(reader1)
    for row in reader1:
      dirpath = os.path.dirname(row[0])
      #absp = abspath[:-1]
      path.add(dirpath)
      #print(abspath)

with open('file2', 'ab') as file_c:
    writer = csv.writer(file_c, **csv_dialect)
    with open('lake.csv', 'rb') as file_b:    
        reader2 = csv.reader(file_b, **csv_dialect)
        next(reader2)
        for row in reader2: 
            dirpath1 = os.path.dirname(row[0])
            #print(dirpath1)
            if (dirpath1) in path:
                writer.writerow(row)
                #print(row)

---

熊猫使这一点非常简单，而且可读性也很强

import pandas as pd
import os.path

df1 = pd.read_csv('file1.txt', header=None, names=['fpath', 'group', 'permission'])
df2 = pd.read_csv('file2.txt', header=None, names=['dpath', 'group', 'owner'])
df1['dpath'] = df1['fpath'].apply(os.path.dirname)
df2['dpath'] = df2['dpath'].apply(os.path.dirname)
df3 = pd.merge(df1, df2, on="dpath", how="inner")
df3[['fpath', 'group_x', 'permission', 'dpath', 'group_y']].to_csv(
    'file3.txt', index=False, header=False)

输出文件3.txt：

/path/eds/aws/file1.dat,dp_card,640,/path/eds/aws,dp_card
/path/eds/aws/file2.dat,dp_card,600,/path/eds/aws,dp_card
/path/edh/vs/file1.dat,dp_card,640,/path/edh/vs,dp_card

---

到目前为止你试过什么？没有人想为您创建完整的解决方案。说明你已经努力解决了这个问题。你可以考虑使用这个任务。