Delete the different rows in array with a loop

I have a numpy array with multiple rows, I want to delete the rows with index 0, 1, 2 and 6 +0, 6+1, 6+2, and 2 * 6+0, 2 * 6+1, and 2 * 6+2, and … c * 6+0, c * 6+1, c * 6+2. I know that is possible to use the np.delete, however I don’t know how to loop over the different indices. Here is an example:

a = np.array([[4, 5],
   [4, 2],
   [1, 2],
   [2, 3],
   [3, 1],
   [0, 1],
   [1, 1],
   [1, 0],
   [1, 5],
   [5, 4],
   [2, 3],
   [5, 5]])

The output which I want is :

out = np.array([
   [2, 3],
   [3, 1],
   [0, 1],
   [5, 4],
   [2, 3],
   [5, 5]])

>Solution :

Instead of deleting, you could filter them out:

out = a[~np.isin(np.arange(len(a))%6, [0,1,2])]

Output:

array([[2, 3],
       [3, 1],
       [0, 1],
       [5, 4],
       [2, 3],
       [5, 5]])