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sparse, sign, trac, issue, matrix, scipy, projects, behavior, closed, print, type, navigation, pull, requests, actions, security, bad, matrices, binary, ufunc, assigned, import, scipysparse, notimplemented, github, footer, skip, content, menu, product, solutions, resources, open, source, enterprise, pricing, search, jump, public, notifications, fork, star, code, issues, wiki, insights, description, scipygitbot, opened, original,

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org/scipy/ticket/1598 activity cowlicks mentioned comment metadata assignees np import scipy assigned labels migrated sparse matrix subtraction print np type projects projects milestone 0 prevents scipy expected scipy sparse type behavior import numpy issue sparse matrices return notimplemented 0 closed binary ufunc 5 stored elements clear bug 100% complete relationships //projects scipy github reaches csc_matrix completed sign trac defect sparse np = np assigned matrix csc_matrix sign skip jump improved sp = sp identity asmatrix multiply follow pdb execution calls __mul__ routines regard

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      headline:Bad behavior of sparse matrices in a binary ufunc (Trac #1598)
      articleBody:_Original ticket http://projects.scipy.org/scipy/ticket/1598 on 2012-02-17 by @pv, assigned to @wnbell._ This behavior should be improved: ``` 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 ``` I don't actually follow what happens in the last one --- according to pdb, the execution never reaches `csc_matrix.multiply`. Instead, one gets calls to `csc_matrix.__mul__`. Also, these routines should never return NotImplemented.
      author:
         url:https://github.com/scipy-gitbot
         type:Person
         name:scipy-gitbot
      datePublished:2013-04-25T17:44:09.000Z
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      url:https://github.com/2123/scipy/issues/2123
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      headline:Bad behavior of sparse matrices in a binary ufunc (Trac #1598)
      articleBody:_Original ticket http://projects.scipy.org/scipy/ticket/1598 on 2012-02-17 by @pv, assigned to @wnbell._ This behavior should be improved: ``` 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 ``` I don't actually follow what happens in the last one --- according to pdb, the execution never reaches `csc_matrix.multiply`. Instead, one gets calls to `csc_matrix.__mul__`. Also, these routines should never return NotImplemented.
      author:
         url:https://github.com/scipy-gitbot
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      datePublished:2013-04-25T17:44:09.000Z
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