[SciPy-user] Sparse matrix: division by vector

Nathan Bell wnbell@gmail....
Tue Apr 29 18:41:07 CDT 2008

On Tue, Apr 29, 2008 at 6:05 PM, Anne Archibald
<peridot.faceted@gmail.com> wrote:
>  Is there any way to make the OP's approach work? Or even A /=
>  colsum[newaxis,:]?

There is backend support for this operation in sparsetools for CSR,CSC
and BSR matrices.  I occasionally use it directly, but I haven't
exposed it through SciPy yet.

Ideally sparse would expose this in a manner consistent with numpy matrices.

A safer approach is to use a diagonal matrix (e.g. D = spdiags(....))
to rescale rows or columns.  With this approach, you don't need to
worry whether the matrix is dense or sparse (or in which format it is

>  This seems like a basic expectation from sparse
>  matrices... Is there a document describing which basic numpy
>  operations work on sparse matrices and which don't?

Not currently.

Nathan Bell wnbell@gmail.com

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