> From: T J <tjhnson <at> gmail.com> > Is there a better way to achieve the following, perhaps without the > python for loop? > > >>> x.shape > (10000,3) > >>> y.shape > (10000,3) > >>> z = empty(len(x)) > >>> for i in range(10000): > ... z[i] = dot(x[i], y[i]) > ... > _______________________________________________
Nadav Horesh <nadavh <at> visionsense.com> writes: > > (x*y).sum(1) > > Nadav > If you wish to avoid the extra memory allocation implied by `x*y' and get a ~4x speed-up, you can use a generalized ufunc (numpy >= 1.3, stolen from the testcases): z = numpy.core.umath_tests.inner1d(x, y) Best, Hansres _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
