Re: Error in scipy sparse: multiplication with coo_matrix copy changes the data and the format of the multiplied

What version are you using? I am on 1.0.0 on Windows 7 and can't reproduce
this.


In [1]: import numpy, scipy
   ...: from scipy.sparse import coo_matrix, csc_matrix
   ...:
   ...: a = numpy.random.randn(4,7)
   ...: print ('a:', a)
   ...: b = coo_matrix(a)
   ...: c = b.copy()
   ...: print ('c before (coo_matrix):', c)
   ...: print ('c data before (coo_matrix):', c.data)
   ...: b.multiply(c)
   ...: print ('c after (coo_matrix):', c)
   ...: print ('c data after (coo_matrix):', c.data)

a: [[ 0.13836937 -0.44769877 -0.67486584 -0.18079949  0.68758066 -0.77756412
 0.77819897]
 [-0.07750618  0.45723152  0.45801638  0.69517378  0.03544761  0.09793786
 0.13236508]
 [-0.65393023  1.1196121   0.45519321  0.27690164 -1.28679679 -0.46791624
 0.59063279]
 [ 1.43179076  0.38644705 -0.27769729  1.09228815 -1.38605657 -1.39493734
-1.06365405]]
c before (coo_matrix):   (0, 0) 0.13836937102833774
  (0, 1)        -0.44769876721981233
  (0, 2)        -0.6748658374897415
  (0, 3)        -0.18079948538318338
  (0, 4)        0.6875806622877358
  (0, 5)        -0.7775641155122853
  (0, 6)        0.7781989700714793
  (1, 0)        -0.07750617928808383
  (1, 1)        0.4572315207281202
  (1, 2)        0.4580163825027164
  (1, 3)        0.6951737836620446
  (1, 4)        0.035447606524930446
  (1, 5)        0.09793785855383845
  (1, 6)        0.13236508271088915
  (2, 0)        -0.6539302277704122
  (2, 1)        1.1196120969391556
  (2, 2)        0.45519320523897316
  (2, 3)        0.27690163859596667
  (2, 4)        -1.2867967876681026
  (2, 5)        -0.4679162379777137
  (2, 6)        0.5906327892567922
  (3, 0)        1.4317907565386616
  (3, 1)        0.38644704937601526
  (3, 2)        -0.2776972862955177
  (3, 3)        1.0922881499931638
  (3, 4)        -1.3860565664680384
  (3, 5)        -1.3949373395890408
  (3, 6)        -1.0636540485066541
c data before (coo_matrix): [ 0.13836937 -0.44769877 -0.67486584
-0.18079949  0.68758066 -0.77756412
  0.77819897 -0.07750618  0.45723152  0.45801638  0.69517378  0.03544761
  0.09793786  0.13236508 -0.65393023  1.1196121   0.45519321  0.27690164
 -1.28679679 -0.46791624  0.59063279  1.43179076  0.38644705 -0.27769729
  1.09228815 -1.38605657 -1.39493734 -1.06365405]
c after (coo_matrix):   (0, 0)  0.13836937102833774
  (0, 1)        -0.44769876721981233
  (0, 2)        -0.6748658374897415
  (0, 3)        -0.18079948538318338
  (0, 4)        0.6875806622877358
  (0, 5)        -0.7775641155122853
  (0, 6)        0.7781989700714793
  (1, 0)        -0.07750617928808383
  (1, 1)        0.4572315207281202
  (1, 2)        0.4580163825027164
  (1, 3)        0.6951737836620446
  (1, 4)        0.035447606524930446
  (1, 5)        0.09793785855383845
  (1, 6)        0.13236508271088915
  (2, 0)        -0.6539302277704122
  (2, 1)        1.1196120969391556
  (2, 2)        0.45519320523897316
  (2, 3)        0.27690163859596667
  (2, 4)        -1.2867967876681026
  (2, 5)        -0.4679162379777137
  (2, 6)        0.5906327892567922
  (3, 0)        1.4317907565386616
  (3, 1)        0.38644704937601526
  (3, 2)        -0.2776972862955177
  (3, 3)        1.0922881499931638
  (3, 4)        -1.3860565664680384
  (3, 5)        -1.3949373395890408
  (3, 6)        -1.0636540485066541
c data after (coo_matrix): [ 0.13836937 -0.44769877 -0.67486584
-0.18079949  0.68758066 -0.77756412
  0.77819897 -0.07750618  0.45723152  0.45801638  0.69517378  0.03544761
  0.09793786  0.13236508 -0.65393023  1.1196121   0.45519321  0.27690164
 -1.28679679 -0.46791624  0.59063279  1.43179076  0.38644705 -0.27769729
  1.09228815 -1.38605657 -1.39493734 -1.06365405]

In [2]: scipy.version.version
Out[2]: '1.0.0'

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