python numpy euclidean distance calculation between matrices of row vectors

Question

I am new to Numpy and I would like to ask you how to calculate euclidean distance between points stored in a vector.

Let\'s assume that we have a numpy.array each ro

Answer 1

import numpy as np
single_point = [3, 4]
points = np.arange(20).reshape((10,2))   
distance = euclid_dist(single_point,points)

def euclid_dist(t1, t2):
    return np.sqrt(((t1-t2)**2).sum(axis = 1))