This function is able to return one of eight different matrix norms or one of an infinite number of vector norms described below depending on the value of the ord parameter. Eliminate self matching dist is the matrix of distances from one coordinate to any other return dist from numpymatlib import repmat repeat def. The simplest thing you can do is call the distance_matrix function in the SciPy spatial package.
Computing distances over a large collection of vectors is inefficient for these functions.
Y cdist XA XB yule. Three ways to calculate a distance matrix out of a list of n-dimensional points using scipy. In this article to find the Euclidean distance we will use the NumPy library. Import functions import numpy as np from numpylinalg import norm define two vectors a nparray 2 6 7 7 5 13 14 17 11 8 b nparray 3 5 5 3 7 12 13 19 22 7 calculate Euclidean distance between the two vectors norm a-b 12409673645990857.