Convert multiple .txt files to .csv files

Question

I have multiple.txt files and I want to convert them to.csv files with the same name. The filename for these.txt files is something like this:

01-09-2022-something.txt
02-09-2022-something.txt
03-09-2022-something.txt
04-09-2022-something.txt
.
.
.
.
31-09-2022-something.txt

I need to convert files like these to.csv but with the same name. Can anyone help me with this?

Currently, I wrote this code to convert but for this, I have to know the file name and in my case filename is not static it is dynamic.

import pandas as pd
file_path = "/var/opt/something.txt"
dataframe1 = pd.read_csv(file_path, delim_whitespace=True)
dataframe1.to_csv('something.csv', index = None)

Answer 1

import os
my_txt_files = [i for i in os.listdir('/var/opt') if i[-4:] == '.txt']
with open('/var/opt/something.csv', 'w') as out_f:
    for txt in my_txt_files:
        with open('/var/opt/' + txt, 'r') as in_f:
            out_f.write(in_f.read())

Answer 2

Use for -loop with os.listdir() or glob.glob("*.txt")

And use new_path = file_path.replace('.txt', '.csv')

If you don't want to change data inside file then use os.rename()

import glob
import os

for file_path in glob.glob("/var/opt/*.txt")
    new_path = file_path.replace('.txt', '.csv')
    os.rename(file_path, new_path)

And if you want to make changes in data then use pandas

import pandas as pd
import glob
import os

for file_path in glob.glob("/var/opt/*.txt")
    new_path = file_path.replace('.txt', '.csv')
    df = pd.read_csv(file_path, delim_whitespace=True)
    # ... some changes ...
    df.to_csv(new_path, index=None)