How can i combine these two functions so i only open the file once?

[snippsat]

So i am having to process a few different text files, for each file i process, i need too capture runtime duration, record count and timestamp

You should link to other Thread or continue there,because i guess all these adds should work with code already written.

Since i'm already using the scan_files() function is it possible to incorporate the mapcount() functionality into the main function?

Have to change scan_files() function and also try to add this in with exiting code.
So start could be something like this.

import time, os
import subprocess
from concurrent.futures import ThreadPoolExecutor
import pandas as pd

def ping(ip):
    return (
        ip,
        subprocess.run(
            f"ping {ip} -n 1", stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL
        ).returncode,
    )

def scan_files():
    directory = 'G:/div_code/egg/ping'
    ip_files = []
    for entry in os.scandir(directory):
        if entry.is_file() and entry.name.endswith('.txt'):
            if 'ip_list' in entry.name:
                pt = directory + '/' + entry.name
                ip_files.append(pt)
    return ip_files

if __name__ == '__main__':
    df_lst = []
    for fname in scan_files():
        start = time.time()
        with open(fname) as file:
            park = [ip.strip() for ip in file]
            executor = ThreadPoolExecutor(12)
            df = pd.DataFrame(executor.map(ping, park))
            #df.to_csv(r'ip_output.csv', header=False, index=False, quoting=None)
            print(df)
            end = time.time()
            time_used = end - start
            df_lst.append(df)
            df_lst.append(f'File <{fname}> used {time_used:.2f} sec')
            print(f'File <{fname}> used {time_used:.2f} sec')

Output:
                   0  1
0    python-forum.io  0
1        youtube.com  0
2      youtube.com99  1
3          www.vg.no  0
4  python-forum.io99  1
File <G:/div_code/egg/ping/ip_list1.txt> used 0.13 sec
                   0  1
0    python-forum.io  0
1        youtube.com  0
2      youtube.com99  1
3          www.vg.no  0
4  python-forum.io99  1
File <G:/div_code/egg/ping/ip_list2.txt> used 0.07 sec

Output over is also in list df_lst.
So it will take time on each files,and Pandas index will work as file count for each file.
As what's in df_lst is still Pandas so can eg use count lines in files or if dive be 2 will get file count.

>>> df_lst[0]
                   0  1
0    python-forum.io  0
1        youtube.com  0
2      youtube.com99  1
3          www.vg.no  0
4  python-forum.io99  1
>>> df_lst[0].count()
0    5
1    5
dtype: int64
>>> len(df_lst) // 2
2
>>> df_lst[0].count() + df_lst[2].count()
0    10
1    10
dtype: int64