How can I use Pandas to add a count with a certain interval to the entire csv file?

I have a conditional csv file and I want to add an interval count for example from 1 to 6 to get something like this:

Is it possible to implement this using Pandas ?

>Solution :

Use vectorial code for efficiency, numpy is the perfect tool:

import numpy as np

N = 6
df['Another header'] = np.arange(len(df))%N+1

output:

   A header   Another header   Another header
0         A                 2               1
1         С                 7               2
2         V                 4               3
3         A                 1               4
4         Q                 1               5
5         V                 2               6
6         N                 8               1
7         A                 2               2
8         L                 4               3
9         A                 6               4
10        S                 4               5
11        F                 3               6