There are several situations where that comes up (Like comparing two sparse matrices A == B) There is a SparseEfficiancyWarning that can be thrown, but the way this should be implemented still needs to be discussed. I will be writing a specification on how ufuncs and ndarrays are handled by the sparse package, the spec can be found here https://github.com/cowlicks/scipy-sparse-ndarray-and-ufunc-spec/blob/master/Spec.markdown. In general, a unary ufunc operating on a sparse matrix should return a sparse matrix.
If you really want to do cos(sparse) you will be able to. But if you are just interested in the initially non zero elements should probably do something like: sparse.data = np.cos(sparse.data) On Wed, May 1, 2013 at 1:32 PM, Daπid <davidmen...@gmail.com> wrote: > On 1 May 2013 20:12, Blake Griffith <blake.a.griff...@gmail.com> wrote: > > However, it would still be useful to have ufuncs working well with the > > sparse package. > > How are you planning to deal with ufunc(0) != 0? cos(sparse) is actually > dense. > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion >
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