compare columns from multiple text files, to csv column file python

Question

I have 662 text files in one folder, to open them I used a code I found somwhere around here:

os = '..'
path = './'
for infile in glob.glob(os.path.join(path, '*.*')):
    print('current file is: ' + infile)

To exctract the first column I used:

with open(infile) as infile:
    for line in infile:
        print(line.split()[0])

But here the first problem, it extracts only the first columns of the last file nor all the files.

Second problem , I need to compare these columns to first column in csv file.. same as "in.index" option in pandas (but it's csv vs. text)

Answer 1

it print last file nor all the files because you print the columns after the file loop is end and it print the first column because you write line.split()[0]

you can make it like this

for infile in glob.glob(os.path.join(path, '*.*')):
  print('current file is: ' + infile)
  with open(infile) as infile:
      for line in infile:
         for i in range(len(line))
           print(line.split()[i])

i just put all the code in one loop and new loop to print all the columns