[Numpy-discussion] linalg.norm missing an 'axis' kwarg?!

Markus Rosenstihl markus.rosenstihl@physik.tu-darmstadt...
Tue Feb 10 04:11:38 CST 2009

Am 20.11.2008 um 11:11 schrieb Hans Meine:

> Hi,
> I have a 2D matrix comprising a sequence of vectors, and I want to  
> compute the
> norm of each vector.  np.linalg.norm seems to be the best bet, but  
> it does not
> support axis.  Wouldn't this be a nice feature?

i usually do something like this:

a = random.rand(3000)
vec_norms = sqrt(sum(a**2,axis=1))

It is much faster than apply_along_axis:

%timeit apply_along_axis(linalg.norm,1,a)
10 loops, best of 3: 45.3 ms per loop

%timeit sqrt(sum(a**2,axis=1))
10000 loops, best of 3: 108 µs per loop

The results are the same:

sum(apply_along_axis(linalg.norm,1,a)- sqrt(sum(a**2,axis=1)))


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