How can the Euclidean distance be calculated with NumPy?


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))




You can calculate the Euclidean distance using the numpy.linalg.norm. Use the below line of code.

dist = numpy.linalg.norm(a-b)



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