import numpy as np

a = np.array((1,1,1))

b = np.array((2,2,2))

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

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# I hope to be of help and to have understood the request

from math import sqrt # import square root from the math module

# the x and y coordinates are the points on the Cartesian plane

pointA = (x, y) # first point

pointB = (x, y) # second point

distance = calc_distance(pointA, pointB) # here your beautiful result

def calc_distance(p1, p2): # simple function, I hope you are more comfortable

  return sqrt((p1[0]-p2[0])**2+(p1[1]-p2[1])**2) # Pythagorean theorem

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

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def euclidean_distance(row1, row2):

    distance = 0.0

​

    for i in range(len(row1)-1):

        distance += (row1[i] - row2[i])**2

    return m.sqrt(distance)

​