How To Compare Two Tables From CSV Files?

I need to take a column from one csv file and compare this column with another column from another csv file to find a match.

I can not use Panda, I extract tables and stuck after..

def first():
    with open('1.csv') as csv_file:
        for line in csv_file.readlines():
            array = line.split(',')
            list_pk = array[1]

def sec():
    with open('2.csv') as csv_file:
        for line in csv_file.readlines():
            array = line.split(',')
            list_fk = array[0]

I hope it will help you

def findMatch():
  with open('old.csv', 'r',  newline='') as t1, open('new.csv', 'r',  newline='') as t2:
    for line1,line2 in zip(t1,t2):
      if line1.split(' ')[colum_index]!=line2.split(' ')[colum_index]:
        print(line1,line2)
findMatch()

• for more help please refer csv doc
• for zip/izip refer zip/izip

using zip_longest

from itertools import zip_longest
def findMatch():
  with open('old.csv', 'r',  newline='') as t1, open('new.csv', 'r',  newline='') as t2:
    for line in zip_longest(t1,t2):
      print(line)
      if line[0]!=line[1]:
        print("nq")
findMatch()

zip_longest reference:-zip_longest