[Numpy-discussion] normalizing a vector so it has magnitude 1

[SimonPalmer]

sorry, 1D array

this is perfect, thanks.

On Aug 27, 10:18 pm, Gary Ruben <gru...@bigpond.net.au> wrote:
> 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
>
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