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I am new to Python, and I try to convert code from MATLAB to Python (numpy) .

I have the following code in MATLAB that create sparse matrix:

obj{i,j} = sparse(IR,IV,ones(length(val),1),length(ids{i}),length(vid{j}));

IR & IV are vectors. What is the efficient way to implement that function in Python (numpy) ?
Thanks, MAK

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  • My answer in stackoverflow.com/questions/45547924/… should work. Get back to me if you have trouble translating the terminology from one to the other. Commented Aug 7, 2017 at 19:19
  • First, Thanks for your help! but, I try to use your example , but I received exception : my translation myNet=bsr_matrix((np.ones(len(u)),u,v),N,N) u,v are vector of size 8000 , and N number of size 200 , I received exception of 'int' object is not iterable (in matlab this code work fine), May I put the input parameter opposite ? Thanks for your help Commented Aug 11, 2017 at 10:33
  • I would have tried csr_matrix((np.ones(len(u)), (u, v)), shape=(N, N)). (I call this the coo style inpu. The number of () is important. coo, csr and csc take this style; bsr does not. Commented Aug 11, 2017 at 15:32
  • @hpaulj 4 Thanks!!. Commented Aug 11, 2017 at 15:36
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