calculate euclidean distance with numpy

Posted by Nathan Fellman on Stack Overflow See other posts from Stack Overflow or by Nathan Fellman
Published on 2009-09-09T19:48:49Z Indexed on 2010/04/26 10:13 UTC
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Filed under:

python

|

numpy

|

euclidean-distance

I have two points in 3D:

(xa,ya,za)
(xb,yb,zb)

And I want to calculate the distance:

dist = sqrt((xa-xb)^2 + (ya-yb)^2 + (za-zb)^2)

What's the best way to do this with Numpy, or with Python in general? I have:

a = numpy.array((xa,ya,za))
b = numpy.array((xb,yb,zb))

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