threshold_value = 8
cautelous_people_id = []
uncautelous_people_id = []

minimum_row_count = 1e6

for person_id in range(1,40):
  with open(f"experiments/1/{person_id}.csv") as csvfile:
    reader = csv.reader(csvfile, quoting=csv.QUOTE_NONNUMERIC) # change contents to floats
    results_distance = []
    for row in reader: # each row is a list
      if len(row) == 2:
        continue
      results_distance.append(row[1])
    #use print below to decide threshold value
    #print(sum(results_distance)/len(results_distance) - 5)
    if(sum(results_distance)/len(results_distance) - 5 < threshold_value):
      uncautelous_people_id.append(person_id)
    else:
      cautelous_people_id.append(person_id)
print(cautelous_people_id)
print(uncautelous_people_id)