Numpy: values in array wont change

Question

The below code is supposed to calculate some values and place them in incremental places in the numpy.zeros() array. The calculations all perform correctly but the array stays as just zeros. I could be missing something obvious so apologies if I am.

n = 256
lam = l

a = numpy.zeros([(len(z[0]) * len(z[:,0]) + n + 1), (n + len(z[0]))])
b = numpy.zeros([numpy.size(a, 0), 1])

#data fitting equations
k = 0
for i in range(len(z[0])):
    for j in range(len(z[:,0])-1):
        wij = smoother(z[j][i] + lam)
        a[k][(z[j][i]+lam)] = float(wij)
        print a[k][(z[j][i]+lam)]
        a[k][n+j] = float(-wij)

        b[k][0] = float(-wij * B[j])
        k = k + 1

Thanks, Tom

Could you post a full working example? It's hard to debug code if what we're given doesn't run. — bheklilr
– bheklilr, Commented Sep 7, 2013 at 2:21
Can't test it right now, bur replace all your indexing like a[i][j] with a[i, j] and I think you'll solve your issue. — Jaime
– Jaime, Commented Sep 7, 2013 at 3:28

Tom · Accepted Answer · 2013-09-07 15:37:38Z

1

Answer supplied by Jaime works fine. Use

a[1, 2]

rather than

a[1][2]

answered Sep 7, 2013 at 15:37

Tom

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