import os
def sum():
    path = input ("Enter path")
    list_of_files = []
    x = 0
    for name in os.listdir(path):
        list_of_files.append(path + '/' + name)
    for item in list_of_files:
        file = open (item, 'r')
        for line in file:
            x += int(line.strip('\n').split(" ")[0])
        file.close()
    return x

SumFile[row n] = 1.txt[row n]+2.txt[row n]+...xyz.txt[row n]

 lst_file = ['2.txt', '3.txt']
lst_res = []
for f in lst_file:
    with open(f, 'r') as file_txt:
        for index, line in enumerate(file_txt):
            try:
                lst_res[index] = int(line) + int(lst_res[index])
            except IndexError:
                lst_res.append(line)
            except ValueError:
                lst_res[index] = float(line) + float(lst_res[index])
with open('res.txt', 'w') as res:
    for value in lst_res:
        s = str(value) + '\n'
        res.write(s)

 import os
path = input()
list_file = os.listdir(path)
list_data = []
for i in list_file:
    file = '{}\{}'.format(path,i)
    with open(file) as inp:
        list_data.append (list(map(float,inp.read().split())))
max_len = len(max(list_data, key = len))
for i,x in enumerate(list_data):
    if len (x) != max_len:
        list_data[i] += [0 for _ in range(max_len-len (x))]
        
for i in range(max_len):
    sum_el = sum([list_data[j][i] for j in range(len(list_data))])
    print(sum_el)

 import pandas as pd
import glob
files=glob.glob("*.txt")
d=pd.read_csv(files[0],header=None)
for i in files[1:]:
    d=d.add(pd.read_csv(i,header=None),fill_value=0)
print(d)