euclidean distance python

import numpy as np
a = np.array((1,1,1))
b = np.array((2,2,2))
dist = np.linalg.norm(a-b)

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

# 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)

# 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))