distance euc of two arrays python
# Use numpy.linalg.norm: import numpy as np a = np.array([1.0, 3.5, -6.3]) b = np.array([4.5, 1.6, 1.2]) dist = np.linalg.norm(a-b)
distance euc of two arrays python
# Use numpy.linalg.norm: import numpy as np a = np.array([1.0, 3.5, -6.3]) b = np.array([4.5, 1.6, 1.2]) dist = np.linalg.norm(a-b)
euclidean distance python
# 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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