Question

How to calculate the euclidean distance between two arrays in Python

Answer 1

import numpy as np

arr1 = np.array([2,  4,  6,  8, 10])
arr2 = np.array([8, 12, 10, 16, 18])

euclidean_distance = np.sqrt(np.sum(np.square(arr1 - arr2)))

print(euclidean_distance)





'''
run:

15.620499351813308

'''

 

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Answer 2

import numpy as np

arr1 = np.array([2,  4,  6,  8, 10])
arr2 = np.array([8, 12, 10, 16, 18])

euclidean_distance = np.linalg.norm(arr1 - arr2)

print(euclidean_distance)





'''
run:

15.620499351813308

'''

 

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Answer 3

from scipy.spatial.distance import euclidean
import numpy as np

arr1 = np.array([2,  4,  6,  8, 10])
arr2 = np.array([8, 12, 10, 16, 18])

euclidean_distance = euclidean(arr1, arr2)

print(euclidean_distance)





'''
run:

15.620499351813308

'''

 

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