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First for loop stops after first iteration
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First for loop stops after first iteration
Divanova94
Programmer named Tim
Posts: 8
Threads: 2
Joined: Apr 2019
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#1
Apr-30-2019, 12:40 PM
I am creating a matrix array by reading two different lists with for loop. But the second for loop stops after the first iteration.
The print output is only with one parameter *1 instead of the all other that are in the lists in the list f1.


import numpy as np
f1 = [['N1M2', 'N1M3', 'N1M4', 'N1M5'], ['M1N2', 'N2M3', 'N2M4', 'N2M5'], ['N1M3', 'N1M4', 'N1M5', 'N2M3', 'N2M4', 'N2M5'], ['M1N3', 'M2N3', 'N3M4', 'N3M5'], ['N1M2', 'N1M4', 'N1M5', 'M2N3', 'N3M4', 'N3M5'], ['M1N2', 'M1N3', 'N2M4', 'N2M5', 'N3M4', 'N3M5'], ['N1M4', 'N1M5', 'N2M4', 'N2M5', 'N3M4', 'N3M5'], ['M1N4', 'M2N4', 'M3N4', 'N4M5'], ['N1M2', 'N1M3', 'N1M5', 'M2N4', 'M3N4', 'N4M5'], ['M1N2', 'M1N4', 'N2M3', 'N2M5', 'M3N4', 'N4M5'], ['N1M3', 'N1M5', 'N2M3', 'N2M5', 'M3N4', 'N4M5'], ['M1N3', 'M1N4', 'M2N3', 'M2N4', 'N3M5', 'N4M5'], ['N1M2', 'N1M5', 'M2N3', 'M2N4', 'N3M5', 'N4M5'], ['M1N2', 'M1N2', 'M1N3', 'N2M5', 'N3M5', 'N4M5'], ['N1M5', 'N2M5', 'N3M5', 'N4M5'], ['M1N5', 'M2N5', 'M3N5', 'M4N5'], ['N1M2', 'N1M3', 'N1M4', 'M2N5', 'M3N5', 'M4N5'], ['M1N2', 'M1N5', 'N2M3', 'N2M4', 'M3N5', 'M4N5'], ['N1M3', 'N1M4', 'N2M3', 'N2M4', 'M3N5', 'M4N5'], ['M1N3', 'M1N5', 'M2N3', 'M2N5', 'N3M4', 'M4N5'], ['N1M2', 'N1M4', 'M2N3', 'M2N5', 'N3M4', 'M4N5'], ['M1N2', 'M1N3', 'M1N5', 'N2M4', 'N3M4', 'M4N5'], ['N1M4', 'N2M4', 'N3M4', 'M4N5'], ['M1N4', 'M1N5', 'M2N4', 'M2N5', 'M3N4', 'M3N5'], ['N1M2', 'N1M3', 'M2N4', 'M2N5', 'M3N4', 'M3N5'], ['M1N2', 'M1N4', 'M1N5', 'N2M3', 'M3N4', 'M3N5'], ['N1M3', 'N2M3', 'M3N4', 'M3N5'], ['M1N3', 'M1N4', 'M1N5', 'M2N3', 'M2N4', 'M2N5'], ['N1M2', 'M2N3', 'M2N4', 'M2N5'], ['M1N2', 'M1N3', 'M1N4', 'M1N5']]

f2 = ['M1N2','M1N3','M1N4','M1N5','M2N3','M2N4','M2N5','M3N4','M3N5','M4N5','N1M2','N1M3','N1M4','N1M5','N2M3','N2M4','N2M5','N3M4','N3M5','N4M5']

def get_matrix(f1, f2):
    new = []
    for j in f1:
        for x in j:
            for i in f2:
                if i == x:
                    new.append('%s*1' % i)
                        #new.append('0')
                else:
                    new.append('%s*0' % i)
                        #new.append('1')
            break
    new1 = np.array(new)
    shape = ( 30, 20 )
    new1.reshape( shape )
    return new1.reshape( shape )

print (get_matrix(f1, f2))
Output:
[['M1N2*0' 'M1N3*0' 'M1N4*0' 'M1N5*0' 'M2N3*0' 'M2N4*0' 'M2N5*0' 'M3N4*0'
  'M3N5*0' 'M4N5*0' 'N1M2*1' 'N1M3*0' 'N1M4*0' 'N1M5*0' 'N2M3*0' 'N2M4*0'
  'N2M5*0' 'N3M4*0' 'N3M5*0' 'N4M5*0']
 ['M1N2*1' 'M1N3*0' 'M1N4*0' 'M1N5*0' 'M2N3*0' 'M2N4*0' 'M2N5*0' 'M3N4*0'
  'M3N5*0' 'M4N5*0' 'N1M2*0' 'N1M3*0' 'N1M4*0' 'N1M5*0' 'N2M3*0' 'N2M4*0'
  'N2M5*0' 'N3M4*0' 'N3M5*0' 'N4M5*0']
 ['M1N2*0' 'M1N3*0' 'M1N4*0' 'M1N5*0' 'M2N3*0' 'M2N4*0' 'M2N5*0' 'M3N4*0'
  'M3N5*0' 'M4N5*0' 'N1M2*0' 'N1M3*1' 'N1M4*0' 'N1M5*0' 'N2M3*0' 'N2M4*0'
  'N2M5*0' 'N3M4*0' 'N3M5*0' 'N4M5*0']
 ['M1N2*0' 'M1N3*1' 'M1N4*0' 'M1N5*0' 'M2N3*0' 'M2N4*0' 'M2N5*0' 'M3N4*0'
  'M3N5*0' 'M4N5*0' 'N1M2*0' 'N1M3*0' 'N1M4*0' 'N1M5*0' 'N2M3*0' 'N2M4*0'
  'N2M5*0' 'N3M4*0' 'N3M5*0' 'N4M5*0']
 ['M1N2*0' 'M1N3*0' 'M1N4*0' 'M1N5*0' 'M2N3*0' 'M2N4*0' 'M2N5*0' 'M3N4*0'
  'M3N5*0' 'M4N5*0' 'N1M2*1' 'N1M3*0' 'N1M4*0' 'N1M5*0' 'N2M3*0' 'N2M4*0'
  'N2M5*0' 'N3M4*0' 'N3M5*0' 'N4M5*0']
 ['M1N2*1' 'M1N3*0' 'M1N4*0' 'M1N5*0' 'M2N3*0' 'M2N4*0' 'M2N5*0' 'M3N4*0'
  'M3N5*0' 'M4N5*0' 'N1M2*0' 'N1M3*0' 'N1M4*0' 'N1M5*0' 'N2M3*0' 'N2M4*0'
  'N2M5*0' 'N3M4*0' 'N3M5*0' 'N4M5*0']
 ['M1N2*0' 'M1N3*0' 'M1N4*0' 'M1N5*0' 'M2N3*0' 'M2N4*0' 'M2N5*0' 'M3N4*0'
  'M3N5*0' 'M4N5*0' 'N1M2*0' 'N1M3*0' 'N1M4*1' 'N1M5*0' 'N2M3*0' 'N2M4*0'
  'N2M5*0' 'N3M4*0' 'N3M5*0' 'N4M5*0']
 ['M1N2*0' 'M1N3*0' 'M1N4*1' 'M1N5*0' 'M2N3*0' 'M2N4*0' 'M2N5*0' 'M3N4*0'
  'M3N5*0' 'M4N5*0' 'N1M2*0' 'N1M3*0' 'N1M4*0' 'N1M5*0' 'N2M3*0' 'N2M4*0'
  'N2M5*0' 'N3M4*0' 'N3M5*0' 'N4M5*0']
 ['M1N2*0' 'M1N3*0' 'M1N4*0' 'M1N5*0' 'M2N3*0' 'M2N4*0' 'M2N5*0' 'M3N4*0'
  'M3N5*0' 'M4N5*0' 'N1M2*1' 'N1M3*0' 'N1M4*0' 'N1M5*0' 'N2M3*0' 'N2M4*0'
  'N2M5*0' 'N3M4*0' 'N3M5*0' 'N4M5*0']
 ['M1N2*1' 'M1N3*0' 'M1N4*0' 'M1N5*0' 'M2N3*0' 'M2N4*0' 'M2N5*0' 'M3N4*0'
  'M3N5*0' 'M4N5*0' 'N1M2*0' 'N1M3*0' 'N1M4*0' 'N1M5*0' 'N2M3*0' 'N2M4*0'
  'N2M5*0' 'N3M4*0' 'N3M5*0' 'N4M5*0']
 ['M1N2*0' 'M1N3*0' 'M1N4*0' 'M1N5*0' 'M2N3*0' 'M2N4*0' 'M2N5*0' 'M3N4*0'
  'M3N5*0' 'M4N5*0' 'N1M2*0' 'N1M3*1' 'N1M4*0' 'N1M5*0' 'N2M3*0' 'N2M4*0'
  'N2M5*0' 'N3M4*0' 'N3M5*0' 'N4M5*0']
 ['M1N2*0' 'M1N3*1' 'M1N4*0' 'M1N5*0' 'M2N3*0' 'M2N4*0' 'M2N5*0' 'M3N4*0'
  'M3N5*0' 'M4N5*0' 'N1M2*0' 'N1M3*0' 'N1M4*0' 'N1M5*0' 'N2M3*0' 'N2M4*0'
  'N2M5*0' 'N3M4*0' 'N3M5*0' 'N4M5*0']
 ['M1N2*0' 'M1N3*0' 'M1N4*0' 'M1N5*0' 'M2N3*0' 'M2N4*0' 'M2N5*0' 'M3N4*0'
  'M3N5*0' 'M4N5*0' 'N1M2*1' 'N1M3*0' 'N1M4*0' 'N1M5*0' 'N2M3*0' 'N2M4*0'
  'N2M5*0' 'N3M4*0' 'N3M5*0' 'N4M5*0']
 ['M1N2*1' 'M1N3*0' 'M1N4*0' 'M1N5*0' 'M2N3*0' 'M2N4*0' 'M2N5*0' 'M3N4*0'
  'M3N5*0' 'M4N5*0' 'N1M2*0' 'N1M3*0' 'N1M4*0' 'N1M5*0' 'N2M3*0' 'N2M4*0'
  'N2M5*0' 'N3M4*0' 'N3M5*0' 'N4M5*0']
 ['M1N2*0' 'M1N3*0' 'M1N4*0' 'M1N5*0' 'M2N3*0' 'M2N4*0' 'M2N5*0' 'M3N4*0'
  'M3N5*0' 'M4N5*0' 'N1M2*0' 'N1M3*0' 'N1M4*0' 'N1M5*1' 'N2M3*0' 'N2M4*0'
  'N2M5*0' 'N3M4*0' 'N3M5*0' 'N4M5*0']
 ['M1N2*0' 'M1N3*0' 'M1N4*0' 'M1N5*1' 'M2N3*0' 'M2N4*0' 'M2N5*0' 'M3N4*0'
  'M3N5*0' 'M4N5*0' 'N1M2*0' 'N1M3*0' 'N1M4*0' 'N1M5*0' 'N2M3*0' 'N2M4*0'
  'N2M5*0' 'N3M4*0' 'N3M5*0' 'N4M5*0']
 ['M1N2*0' 'M1N3*0' 'M1N4*0' 'M1N5*0' 'M2N3*0' 'M2N4*0' 'M2N5*0' 'M3N4*0'
  'M3N5*0' 'M4N5*0' 'N1M2*1' 'N1M3*0' 'N1M4*0' 'N1M5*0' 'N2M3*0' 'N2M4*0'
  'N2M5*0' 'N3M4*0' 'N3M5*0' 'N4M5*0']
 ['M1N2*1' 'M1N3*0' 'M1N4*0' 'M1N5*0' 'M2N3*0' 'M2N4*0' 'M2N5*0' 'M3N4*0'
  'M3N5*0' 'M4N5*0' 'N1M2*0' 'N1M3*0' 'N1M4*0' 'N1M5*0' 'N2M3*0' 'N2M4*0'
  'N2M5*0' 'N3M4*0' 'N3M5*0' 'N4M5*0']
 ['M1N2*0' 'M1N3*0' 'M1N4*0' 'M1N5*0' 'M2N3*0' 'M2N4*0' 'M2N5*0' 'M3N4*0'
  'M3N5*0' 'M4N5*0' 'N1M2*0' 'N1M3*1' 'N1M4*0' 'N1M5*0' 'N2M3*0' 'N2M4*0'
  'N2M5*0' 'N3M4*0' 'N3M5*0' 'N4M5*0']
 ['M1N2*0' 'M1N3*1' 'M1N4*0' 'M1N5*0' 'M2N3*0' 'M2N4*0' 'M2N5*0' 'M3N4*0'
  'M3N5*0' 'M4N5*0' 'N1M2*0' 'N1M3*0' 'N1M4*0' 'N1M5*0' 'N2M3*0' 'N2M4*0'
  'N2M5*0' 'N3M4*0' 'N3M5*0' 'N4M5*0']
 ['M1N2*0' 'M1N3*0' 'M1N4*0' 'M1N5*0' 'M2N3*0' 'M2N4*0' 'M2N5*0' 'M3N4*0'
  'M3N5*0' 'M4N5*0' 'N1M2*1' 'N1M3*0' 'N1M4*0' 'N1M5*0' 'N2M3*0' 'N2M4*0'
  'N2M5*0' 'N3M4*0' 'N3M5*0' 'N4M5*0']
 ['M1N2*1' 'M1N3*0' 'M1N4*0' 'M1N5*0' 'M2N3*0' 'M2N4*0' 'M2N5*0' 'M3N4*0'
  'M3N5*0' 'M4N5*0' 'N1M2*0' 'N1M3*0' 'N1M4*0' 'N1M5*0' 'N2M3*0' 'N2M4*0'
  'N2M5*0' 'N3M4*0' 'N3M5*0' 'N4M5*0']
 ['M1N2*0' 'M1N3*0' 'M1N4*0' 'M1N5*0' 'M2N3*0' 'M2N4*0' 'M2N5*0' 'M3N4*0'
  'M3N5*0' 'M4N5*0' 'N1M2*0' 'N1M3*0' 'N1M4*1' 'N1M5*0' 'N2M3*0' 'N2M4*0'
  'N2M5*0' 'N3M4*0' 'N3M5*0' 'N4M5*0']
 ['M1N2*0' 'M1N3*0' 'M1N4*1' 'M1N5*0' 'M2N3*0' 'M2N4*0' 'M2N5*0' 'M3N4*0'
  'M3N5*0' 'M4N5*0' 'N1M2*0' 'N1M3*0' 'N1M4*0' 'N1M5*0' 'N2M3*0' 'N2M4*0'
  'N2M5*0' 'N3M4*0' 'N3M5*0' 'N4M5*0']
 ['M1N2*0' 'M1N3*0' 'M1N4*0' 'M1N5*0' 'M2N3*0' 'M2N4*0' 'M2N5*0' 'M3N4*0'
  'M3N5*0' 'M4N5*0' 'N1M2*1' 'N1M3*0' 'N1M4*0' 'N1M5*0' 'N2M3*0' 'N2M4*0'
  'N2M5*0' 'N3M4*0' 'N3M5*0' 'N4M5*0']
 ['M1N2*1' 'M1N3*0' 'M1N4*0' 'M1N5*0' 'M2N3*0' 'M2N4*0' 'M2N5*0' 'M3N4*0'
  'M3N5*0' 'M4N5*0' 'N1M2*0' 'N1M3*0' 'N1M4*0' 'N1M5*0' 'N2M3*0' 'N2M4*0'
  'N2M5*0' 'N3M4*0' 'N3M5*0' 'N4M5*0']
 ['M1N2*0' 'M1N3*0' 'M1N4*0' 'M1N5*0' 'M2N3*0' 'M2N4*0' 'M2N5*0' 'M3N4*0'
  'M3N5*0' 'M4N5*0' 'N1M2*0' 'N1M3*1' 'N1M4*0' 'N1M5*0' 'N2M3*0' 'N2M4*0'
  'N2M5*0' 'N3M4*0' 'N3M5*0' 'N4M5*0']
 ['M1N2*0' 'M1N3*1' 'M1N4*0' 'M1N5*0' 'M2N3*0' 'M2N4*0' 'M2N5*0' 'M3N4*0'
  'M3N5*0' 'M4N5*0' 'N1M2*0' 'N1M3*0' 'N1M4*0' 'N1M5*0' 'N2M3*0' 'N2M4*0'
  'N2M5*0' 'N3M4*0' 'N3M5*0' 'N4M5*0']
 ['M1N2*0' 'M1N3*0' 'M1N4*0' 'M1N5*0' 'M2N3*0' 'M2N4*0' 'M2N5*0' 'M3N4*0'
  'M3N5*0' 'M4N5*0' 'N1M2*1' 'N1M3*0' 'N1M4*0' 'N1M5*0' 'N2M3*0' 'N2M4*0'
  'N2M5*0' 'N3M4*0' 'N3M5*0' 'N4M5*0']
 ['M1N2*1' 'M1N3*0' 'M1N4*0' 'M1N5*0' 'M2N3*0' 'M2N4*0' 'M2N5*0' 'M3N4*0'
  'M3N5*0' 'M4N5*0' 'N1M2*0' 'N1M3*0' 'N1M4*0' 'N1M5*0' 'N2M3*0' 'N2M4*0'
  'N2M5*0' 'N3M4*0' 'N3M5*0' 'N4M5*0']]
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First for loop stops after first iteration - by Divanova94 - Apr-30-2019, 12:40 PM

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