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Calculate Euclidean Distance in Python using distance.euclidean()

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Gorgeous Gazelle answered on June 6, 2020 Popularity 9/10 Helpfulness 5/10

answer Calculate Euclidean Distance in Python using distance.euclidean()

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Calculate Euclidean Distance in Python using distance.euclidean()

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# Python code to find Euclidean distance
# using distance.euclidean() method

# Import SciPi Library
from scipy.spatial import distance

# initializing points in
# numpy arrays
point1 = (4, 4, 2)
point2 = (1, 2, 1)
 
# print Euclidean distance 
print(distance.euclidean(point1,point2))

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Contributed on Jan 26 2022

Gorgeous Gazelle

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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

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Contributed on Jun 06 2020

Envious Eland

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Calculate Euclidean Distance in Python

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# Python code to find Euclidean distance
# using dot() and sqrt() methods

# Import NumPy Library
import numpy as np

# initializing points in
# numpy arrays
point1 = np.array((4, 4, 2))
point2 = np.array((1, 2, 1))

# subtracting both the vectors
temp = point1 - point2
 
# Perform dot product
# and do the square root
dist = np.sqrt(np.dot(temp.T, temp))
 
# printing Euclidean distance
print(dist)

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Contributed on Jan 26 2022

Gorgeous Gazelle

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python euclidean distance

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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)

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Contributed on Oct 16 2022

Muhammad Usman Shakeel

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Calculate Euclidean Distance in Python using distance.euclidean()

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Calculate Euclidean Distance in Python using distance.euclidean()

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