Euclidean Distance in Python

Python Coding

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Aug 29, 2024

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import math

def euclidean_distance(point1, point2):
    return math.sqrt((point1[0] - point2[0])**2 + (point1[1] - point2[1])**2)


point1 = (1, 2)
point2 = (4, 6)
distance = euclidean_distance(point1, point2)

print(f"The Euclidean distance between {point1} and {point2} is {distance:.2f}")

The Euclidean distance between (1, 2) and (4, 6) is 5.00

Euclidean Distance Using NumPy

import numpy as np

def euclidean_distance_numpy(point1, point2):
    return np.linalg.norm(np.array(point1) - np.array(point2))

# Example usage
point1 = (1, 2)
point2 = (4, 6)
distance = euclidean_distance_numpy(point1, point2)

print(f"The Euclidean distance (NumPy) between {point1} and {point2} is {distance:.2f}")

The Euclidean distance (NumPy) between (1, 2) and (4, 6) is 5.00