Break out of loop if data in one array exceedes some VALUE in another Python -

i have 2 arrays, id, , x id unique identifier tells values in x belong specific group. want go through values in x see if condition meet , if print corresponding x value. example

id = np.array([1,1,1,2,2,2,3,3,3,4,4,4,5,5,5]) x = np.array([10,9,6,9,7,1,12,5,10,9,8,4,6,2,1])     counter = 1   in range(len(id)):     if id[i] == counter:         j in range(i,len(id)):               if x[j] > 7:              continue             else:               print(id[i],x[j])                 counter += 1                   break 

prints

1 6 2 7 3 5 4 4 5 6 

now if instead have

id = np.array([1,1,1,2,2,2,3,3,3,4,4,4,5,5,5]) x = np.array([10,9,6,9,7,1,12,11,10,9,8,4,6,2,1]) 

the output

1 6 2 7 3 4 4 4 5 6 

which not output want because 4 not in group has id value of 3. question how 1 have condition if x[j] > 7: evaluated if x values correspond id vale represents , not skip on group?

i'm bit confused i'll take stab... dictionary help?

id = np.array([1,1,1,2,2,2,3,3,3,4,4,4,5,5,5]) x = np.array([10,9,6,9,7,1,12,5,10,9,8,4,6,2,1])  dict = {} in range(len(id)):     if id[i] not in dict:         dict[id[i]] = []     dict[id[i]].append(x[i])  #you have dict keyed group-id , has list of values group.  group in dict:     vals_in_group = dict[group]     val in vals_in_group:         #check value? or print         print group, val