How to compute the euclidean distance between two arrays?
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How to compute the euclidean distance between two arrays?

How to compute the euclidean distance between two arrays?

This recipe helps you compute the euclidean distance between two arrays

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ecipe Objective

How to compute the euclidean distance between two arrays?

Euclidean distance is the distance between two points for e.g point A and point B in the euclidean space. This distance can be find in the numpy by using the function "linalg.norm". Lets understand this with practical implementation.

Step 1 - Import library

import numpy as np

Step 2 - Take Sample data

data_pointA = np.array([5,6,7]) data_pointB = np.array([8,9,10])

Step 3 - Find Euclidean distance

Euclidean_distance = np.linalg.norm(data_pointA - data_pointB) print("The Euclidean distance between two points are:", Euclidean_distance)
The Euclidean distance between two points are: 5.196152422706632

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