8000 Strange behavior of binary ufunc with scipy sparse matrices (Trac #2058) · Issue #2650 · numpy/numpy · GitHub
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Strange behavior of binary ufunc with scipy sparse matrices (Trac #2058) #2650

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numpy-gitbot opened this issue Oct 19, 2012 · 2 comments
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Strange behavior of binary ufunc with scipy sparse matrices (Trac #2058) #2650

numpy-gitbot opened this issue Oct 19, 2012 · 2 comments
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00 - Bug component: numpy._core

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@numpy-gitbot
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Original ticket http://projects.scipy.org/numpy/ticket/2058 on 2012-02-17 by @pv, assigned to unknown.

The ufuncs behave strangely when fed Scipy sparse matrices:

import numpy as np
import scipy.sparse as sp
A = sp.csc_matrix(np.identity(5))
B = np.asmatrix(np.ones((5,5)))
print np.multiply(A,A)
# <5x5 sparse matrix of type '<class 'numpy.float64'>'
#   with 5 stored elements in Compressed Sparse Column format>
print np.multiply(B,A)
# NotImplemented
print np.multiply(A,B).dtype
# object

There are a couple things amiss here, the reason for which probably resides in Numpy:

See also: http://projects.scipy.org/scipy/ticket/1598
@ron819
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ron819 commented Nov 13, 2018

Is this still an issue?

@mattip
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mattip commented Nov 13, 2018

Whatever the original issue was, the calls to multiply now succeed. I am closing, please open a new issue if needed.

@mattip mattip closed this as completed Nov 13, 2018
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