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Calculate euclidian distance python

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

Calculate euclidian distance python

from scipy.spatial import distance
a = (1, 2, 3)
b = (4, 5, 6)
dst = distance.euclidean(a, b)

Source: stackoverflow.com

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

Source: stackoverflow.com

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ValueError: Input contains NaN, infinity or a value too large for dtype('float32'). site:stackoverflow.com
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