On Fri, Mar 4, 2011 at 4:13 AM, Hector <hector1...@gmail.com> wrote: > > > On Fri, Mar 4, 2011 at 12:59 PM, eat <e.antero.ta...@gmail.com> wrote: >> >> Hi, >> >> On Fri, Mar 4, 2011 at 8:19 AM, Daniel Hyams <dhy...@gmail.com> wrote: >>> >>> This is probably so easy, I'm embarrassed to ask it...but I've been >>> casting around trying things to no avail for the last hour and a half, so >>> here goes... >>> I have a lot of dot products to take. The length-3 vectors that I want >>> to dot are stacked in a 2D array like this: >>> U = [u1 u2 u3....] >>> and >>> >>> V = [v1 v2 v3....] >>> So both of these arrays, are, say, 3x100 each. I just want to take the >>> dot product of each of the corresponding vectors, so that the result is >>> [u1.v1 u2.v2 u3.v3 ....] >>> which would be a 1x100 array in this case. >>> Which function do I need to use? I thought tensordot() was the one, but >>> I couldn't make it work....pure user error I'm sure. > > Hello Daniel Hyams and group, > > I guess the following code serves the purpose but I think something needs to > be highlighted. I think Eat forgot to paste it here. > > >> No function needed for this case, just: > > In [ ] : import numpy.random as rand >> >> In []: x= rand(3, 7) >> In []: y= rand(3, 7) >> In []: d= (x* y).sum(0) >> In [490]: d >> Out[490]: >> array([ 1.25404683, 0.19113117, 1.37267133, 0.74219888, 1.55296562, >> 0.15264303, 0.72039922]) >> In [493]: dot(x[:, 0].T, y[:, 0]) >> Out[493]: 1.2540468282421895 >> Regards, >> eat >>> >>> > > I guess you can use 'rand' only this after import.
to clarify: random is the module, rand is a function in random >>> import numpy.random as rand >>> rand(3,7) Traceback (most recent call last): File "<pyshell#50>", line 1, in <module> rand(3,7) TypeError: 'module' object is not callable >>> from numpy.random import rand >>> rand(3,7) array([[ 3.424 ........... Josef > >>> >>> _______________________________________________ >>> NumPy-Discussion mailing list >>> NumPy-Discussion@scipy.org >>> http://mail.scipy.org/mailman/listinfo/numpy-discussion >>> >> >> >> _______________________________________________ >> NumPy-Discussion mailing list >> NumPy-Discussion@scipy.org >> http://mail.scipy.org/mailman/listinfo/numpy-discussion >> > > > > -- > -Regards > Hector > Whenever you think you can or you can't, in either way you are right. > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion > > _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion