I am novice in python.

I have 8 csv files with 26 columns and 600 rows in each. now I want to take the last 4 column of each csv files (Column 22 to column 25), read the files and sum them up to replace all the 4 columns in each file. for example (I am showing some random data here):

new-1.csv:

```
a   b   c   d   e   f   g   h   i   j   k
1   1   1   1   1   1   1   1   1   1   1
2   2   2   2   2   2   2   2   2   2   2
3   3   3   3   3   3   3   3   3   3   3
4   4   4   4   4   4   4   4   4   4   4
5   5   5   5   5   5   5   5   5   5   5
6   6   6   6   6   6   6   6   6   6   6
7   7   7   7   7   7   7   7   7   7   7
8   8   8   8   8   8   8   8   8   8   8
9   9   9   9   9   9   9   9   9   9   9 

```

new2.csv: 

```
a   b   c   d   e   f   g   h   i   j   k
11  11  11  11  11  11  11  11  11  11  11
12  12  12  12  12  12  12  12  12  12  12
13  13  13  13  13  13  13  13  13  13  13
14  14  14  14  14  14  14  14  14  14  14
15  15  15  15  15  15  15  15  15  15  15
16  16  16  16  16  16  16  16  16  16  16
17  17  17  17  17  17  17  17  17  17  17
18  18  18  18  18  18  18  18  18  18  18
19  19  19  19  19  19  19  19  19  19  19

```

Now, I want to sum each element of "h, i, j, k" of from these 2 files, then replace the files last 4 columns with this new sum.

Modified new-1.csv:

```
a   b   c   d   e   f   g   h   i   j   k
1   1   1   1   1   1   1   12  12  12  12
2   2   2   2   2   2   2   14  14  14  14
3   3   3   3   3   3   3   16  16  16  16
4   4   4   4   4   4   4   18  18  18  18
5   5   5   5   5   5   5   20  20  20  20
6   6   6   6   6   6   6   22  22  22  22
7   7   7   7   7   7   7   24  24  24  24
8   8   8   8   8   8   8   26  26  26  26
9   9   9   9   9   9   9   28  28  28  28

```

Modified new-2.csv:

```
a   b   c   d   e   f   g   h   i   j   k
11  11  11  11  11  11  11  12  12  12  12
12  12  12  12  12  12  12  14  14  14  14
13  13  13  13  13  13  13  16  16  16  16
14  14  14  14  14  14  14  18  18  18  18
15  15  15  15  15  15  15  20  20  20  20
16  16  16  16  16  16  16  22  22  22  22
17  17  17  17  17  17  17  24  24  24  24
18  18  18  18  18  18  18  26  26  26  26
19  19  19  19  19  19  19  28  28  28  28

```

I am assuming I should use Panda or numpy for this, but not sure how to do it. any suggestions/hints would be appreciated.