Lowest score from multiple trials

Hi have this code that makes 4 groups until numbers 1-4, then rates them on how good they are:

import numpy
import math
import random
for i in range(3):
  # everything is in, see the indentation
  members=4
  n_groups =4
  participants=list(range(1,members+1))*n_groups
  #print participants 
  random.shuffle(participants)

  with open('myfile1.txt','w') as tf:
      for i in range(n_groups):
          group = participants[i*members:(i+1)*members]
          for participant in group:
              tf.write(str(participant)+' ')
          tf.write('\n')

  with open('myfile1.txt','r') as tf:
      g = [list(map(int, line.split())) for line in tf.readlines()]
      print(g)




  my_groups =g

  def get_rating(group):
      return len(set(group))

  for each_grp in my_groups:  
      print((get_rating(each_grp)))

  print(sum(len(set(x)) for x in my_groups))

This is the output:

    [[1, 3, 4, 1], [3, 4, 2, 3], [2, 2, 1, 4], [4, 3, 1, 2]]
3
3
3
4
13
[[3, 4, 2, 1], [1, 1, 2, 4], [2, 3, 3, 2], [3, 4, 4, 1]]
4
3
2
3
12
[[3, 2, 3, 1], [4, 2, 3, 3], [2, 4, 1, 2], [4, 4, 1, 1]]
3
3
3
2
11

The square brackets are the 4 groups, the 4 numbers below rate each group so (1,1,1,1) is very good as has the least changes, whereas (1,2,3,3) is less good as it has 3 different numbers. The final number just sums all the 4 numbers up.

I was wondering if there was a way to display the lowest score with the group combination with all the groups, in this case 11 after i run the trial, this would make it easier if i do more trials like 2000