I don't know what you mean by a 1D vector, but for a 3-vector, you can do this (also works for N-dimensions)
In [1]: a=r_[1.,2.,3.] In [2]: a Out[2]: array([ 1., 2., 3.]) In [3]: b=a/norm(a) In [4]: b Out[4]: array([ 0.26726124, 0.53452248, 0.80178373]) Gary R > bit of a newb question, is there a method for normalising a 1D vector > so it ends up with magnitude 1? > > I can do it manually but I was hoping there was a neat numpy - or > scipy - trick. I've been web surfing but nothing really leaps out _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
