Compare values in two strings and then yield a result that can be placed in an array

I have two strings in python that I have converted to lists:

Seq1 = [x1,x2,x3,x4]

Seq2 = [y1,y2,y3,y4]

The strings are the same length and are composed of only the letters 'a', 'c', 'g', and 'u'.

Then I created an empty matrix len(Seq1) by len(Seq2):

a = numpy.zeros(shape=len(Seq1),len(Seq2))

Next, I want to compare the list values and place a 1 if the values match and 0 if they don't. The value should be placed in the relevant array element i.e.

if seq1[0] == seq[0]:
    a[0,0] = [1]
    a[0,0] = [0]

# repeat for all the values.
print a

I had a loop that was working but it only filled in the first row and column. I can see that it's a problem with a range function like Seq1[i] == Seq2[j] but I can't figure it out.


A compact way to write the loop is:

import itertools

for i1,i2 in itertools.product(xrange(len(Seq1)), xrange(len(Seq2))):
    a[i1,i2] = Seq1[i1] == Seq2[i2]

Iterate over both lists and compare:

for x in range(len(Seq1)):
  for y in range(len(Seq2)):
    a[x, y] = (Seq1[x] == Seq2[y])

I assume that this is a bioinformatics question. The purpose, however, is unclear to me. I've listed a generic matching system that you can use.

>>> for s1 in xrange(len(seq1)):
...     for s2 in xrange(len(seq2)):
...             if seq1[s1]==seq2[s2]:
...                     a[s1,s2]=1
...             else:
...                     a[s1,s2]=0

I wouldn't use the nested loops at all; outer methods in numpy can do it for you:

Python 2.7.1 (r271:86882M, Nov 30 2010, 10:35:34) 
[GCC 4.2.1 (Apple Inc. build 5664)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> import numpy
>>> seq1 = "acgu"
>>> seq2 = "aagg"
>>> numpy.equal.outer(map(ord, seq1), map(ord, seq2))
array([[ True,  True, False, False],
       [False, False, False, False],
       [False, False,  True,  True],
       [False, False, False, False]], dtype=bool)

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