Sparse Matrix ValueError: row index exceeds matrix dimensions

Question

I have a sparse matrix in the form of (inl, outl, 1) that I want to convert into a nxn matrix (value is 1 if there is a link between a and b).

However there are multiple b values for each a, which I believe is why the ValueError message is popping up. I've tried csr, coo, csc, bsr matrixes, to no avail...

M = coo_matrix( (yn, (inl,outl)), shape=(n,n) ).toarray()

ValueError: 'row index exceeds matrix dimensions'

Any help is greatly appreciated. Thanks!

I'd check max(inl) to see if you have a row index that's bigger than n. — Ryan Walker
– Ryan Walker, Commented Sep 25, 2017 at 2:58
max(inl) equals n... for csr error message is len(self.indptr),major_dim + 1)) -- ValueError: index pointer size 400000 should be 80000 for coo ValueError 'arr.size x arr.dtype.itemsize' is larger than maximum possible size — hme
– hme, Commented Sep 25, 2017 at 3:25
if you've set n = max(inl), your error is because range(n) goes from 0 to n-1. That one max data point is out of range. set n = max(inl) + 1 — Daniel F
– Daniel F, Commented Sep 25, 2017 at 12:14
nope... tried that. i'm still having problems importing and i think it has something to do with the "index pointer size" which i believe is derived from my data (where there are multiple out values for each in) rather than from my settings? sigh.. is there some other library i can use to work with sparse data? — hme
– hme, Commented Oct 1, 2017 at 22:12

Daniel · Accepted Answer · 2020-02-03 01:28:57Z

0

I have tried to get the global max from both the intl and outl and it works for me. The code is as follows:

n = max(max(intl), max(outl)) + 1

I hope this would help!

answered Feb 3, 2020 at 1:28

Daniel

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