Hello,
First of all, I'm sorry if this question had already been asked. I've searched on the gmane archive and elsewhere on internet, but I didn't found the answer to my question. As expected, the dot product of 2 'classical' vectors works fine : In [50]: a0 = numpy.array([1,2,3]) In [51]: numpy.dot(a0,a0) Out[51]: 14 What I don't understand, is why the dot product of a (3,N) vector gives an error : In [52]: a1 = numpy.array([[1,2,3],[1,2,3],[1,2,3],[1,2,3]]) In [54]: numpy.dot(a1,a1) <type 'exceptions.ValueError'> Traceback (most recent call last) <type 'exceptions.ValueError'>: objects are not aligned instead of what I've expected ; an array([14 14 14 14]). Of course, I've found an alternative in doing : In [61]: numpy.sum(a1*a1,axis=1) Out[61]: array([14, 14, 14, 14]) But I like to understand my mistakes or misunderstands :) So, could someone explained me what I've missed ? Thanks in advance. Best regards, JH
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