I'm afraid the matrix is not available anywhere and I would not be able to make it available.
However I can demonstrate by simply generating a random number and filling a 10x10 matrix with it. I generated a random number in numpy and used that to do the same exercise in numarray. In numpy: >>> matrix = numpy.zeros((10,10),'f') >>> matrix array([[ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.], [ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.], [ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.], [ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.], [ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.], [ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.], [ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.], [ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.], [ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.], [ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.]], dtype=float32) >>> number = numpy.random.random_sample() >>> number 0.41582016134572475 >>> matrix.setfield(number,'f',0) >>> matrix array([[ 0.415820151567, 0.415820151567, 0.415820151567, 0.415820151567, 0.415820151567, 0.415820151567, 0.415820151567, 0.415820151567, 0.415820151567, 0.415820151567], [ 0.415820151567, 0.415820151567, 0.415820151567, 0.415820151567, 0.415820151567, 0.415820151567, 0.415820151567, 0.415820151567, 0.415820151567, 0.415820151567], [ 0.415820151567, 0.415820151567, 0.415820151567, 0.415820151567, 0.415820151567, 0.415820151567, 0.415820151567, 0.415820151567, 0.415820151567, 0.415820151567], [ 0.415820151567, 0.415820151567, 0.415820151567, 0.415820151567, 0.415820151567, 0.415820151567, 0.415820151567, 0.415820151567, 0.415820151567, 0.415820151567], [ 0.415820151567, 0.415820151567, 0.415820151567, 0.415820151567, 0.415820151567, 0.415820151567, 0.415820151567, 0.415820151567, 0.415820151567, 0.415820151567], [ 0.415820151567, 0.415820151567, 0.415820151567, 0.415820151567, 0.415820151567, 0.415820151567, 0.415820151567, 0.415820151567, 0.415820151567, 0.415820151567], [ 0.415820151567, 0.415820151567, 0.415820151567, 0.415820151567, 0.415820151567, 0.415820151567, 0.415820151567, 0.415820151567, 0.415820151567, 0.415820151567], [ 0.415820151567, 0.415820151567, 0.415820151567, 0.415820151567, 0.415820151567, 0.415820151567, 0.415820151567, 0.415820151567, 0.415820151567, 0.415820151567], [ 0.415820151567, 0.415820151567, 0.415820151567, 0.415820151567, 0.415820151567, 0.415820151567, 0.415820151567, 0.415820151567, 0.415820151567, 0.415820151567], [ 0.415820151567, 0.415820151567, 0.415820151567, 0.415820151567, 0.415820151567, 0.415820151567, 0.415820151567, 0.415820151567, 0.415820151567, 0.415820151567]], dtype=float32) >>> matrix.mean() 0.41582069396972654 In numarray: >>> matrix = numarray.zeros((10,10),'f') >>> matrix array([[ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.], [ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.], [ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.], [ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.], [ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.], [ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.], [ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.], [ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.], [ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.], [ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.]], type=Float32) >>> number = 0.41582015156745911 >>> for i, item in enumerate(matrix): ... matrix[i] = number ... >>> matrix array([[ 0.41582015, 0.41582015, 0.41582015, 0.41582015, 0.41582015, 0.41582015, 0.41582015, 0.41582015, 0.41582015, 0.41582015], [ 0.41582015, 0.41582015, 0.41582015, 0.41582015, 0.41582015, 0.41582015, 0.41582015, 0.41582015, 0.41582015, 0.41582015], [ 0.41582015, 0.41582015, 0.41582015, 0.41582015, 0.41582015, 0.41582015, 0.41582015, 0.41582015, 0.41582015, 0.41582015], [ 0.41582015, 0.41582015, 0.41582015, 0.41582015, 0.41582015, 0.41582015, 0.41582015, 0.41582015, 0.41582015, 0.41582015], [ 0.41582015, 0.41582015, 0.41582015, 0.41582015, 0.41582015, 0.41582015, 0.41582015, 0.41582015, 0.41582015, 0.41582015], [ 0.41582015, 0.41582015, 0.41582015, 0.41582015, 0.41582015, 0.41582015, 0.41582015, 0.41582015, 0.41582015, 0.41582015], [ 0.41582015, 0.41582015, 0.41582015, 0.41582015, 0.41582015, 0.41582015, 0.41582015, 0.41582015, 0.41582015, 0.41582015], [ 0.41582015, 0.41582015, 0.41582015, 0.41582015, 0.41582015, 0.41582015, 0.41582015, 0.41582015, 0.41582015, 0.41582015], [ 0.41582015, 0.41582015, 0.41582015, 0.41582015, 0.41582015, 0.41582015, 0.41582015, 0.41582015, 0.41582015, 0.41582015], [ 0.41582015, 0.41582015, 0.41582015, 0.41582015, 0.41582015, 0.41582015, 0.41582015, 0.41582015, 0.41582015, 0.41582015]], type=Float32) >>> matrix.mean() 0.41582015156745911 2008/9/3 David Cournapeau <[EMAIL PROTECTED]> > Hanni Ali wrote: > > Hi Matthieu, > > > > I thought as much, regarding the computations, but was just presenting > > the information. > > Is your matrix available somewhere so that we can reproduce the problem > ? Off-hand, I can't see any explanation, but I am not familiar with > numarray, so maybe I am missing something obvious, > > cheers, > > David > _______________________________________________ > Numpy-discussion mailing list > Numpy-discussion@scipy.org > http://projects.scipy.org/mailman/listinfo/numpy-discussion >
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