You could either check stackoverflow:

https://stackoverflow.com/questions/1871536/minimum-euclidean-distance-between-points-in-two-different-numpy-arrays-not-wit/1871630#1871630

Or the scipy package of python,

https://scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.euclidean_distances.html

On the documentation you have some extensive examples on different cases:

https://docs.scipy.org/doc/scipy/reference/spatial.distance.html

I hope some of them help you!

In addition to the answare above I give you a small example using scipy in python:

import scipy.spatial.distance

import numpy

data = numpy.random.random((72,5128))

dists = scipy.spatial.distance.pdist(data)

print("count dists = %d min dist = %d" % (len(dists), min(dists)))

output:

count dists = 2556 min dist = 28

count dists was written to check: 72*71/2 = 2556

for i in range len(x):

distance =+ sqrt(pow(x[i]-y[i]),2)

from scipy.spatial import distance

a = (1, 2, 3)

b = (4, 5, 6)

dst = distance.euclidean(a, b)

Import numpy as np

dist = np.linalg.norm(A-B)

d.append(dist)

Min = min(d)

id = d.index(Min) # the index of the minimum distance

Dear sister, you can get your target from matlab function.

Best wishes

By googling the expression "minimum euclidean distance in python" and exchanging the keywords, you would reach your target.

1. https://stackoverflow.com/questions/1871536/minimum-euclidean-distance-between-points-in-two-different-numpy-arrays-not-wit

2. https://stackoverflow.com/questions/1401712/how-can-the-euclidean-distance-be-calculated-with-numpy

Mansureh Shahraki Moghaddam Hamed Dinari Oriol Sans Planell Tibor Tajti Thank you so much. so usefull!

Salams,you use matlab function after convert it to python.