/Python/Numpy distance between two points

Numpy distance between two points

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

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)

Numpy distance between two points

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

Source: stackoverflow.com

Distance between numpy arrays

dist = numpy.linalg.norm(a-b, ord=2) #ord=2 is default and means Euclidean distance, but I'm showing here that you can specify it

Source: stackoverflow.com

Similar codes

0 vote184 views1 answer
Import sys locate python = sys.exec_prefix print(locate python)
Python
0 vote180 views1 answer
Pass context data with templateview in django
Python
0 vote190 views1 answer
What is a console in pythonanywhere
Python
0 vote285 views1 answer
Django orm group by month and year
Python Django
0 vote225 views1 answer
Django email change sender name
Python Django
0 vote180 views1 answer
Bs
Python
1 vote184 views1 answer
Pandas find location of values greater than
Python
0 vote181 views1 answer
Kivy button on click
Python
0 vote150 views1 answer
Select Children of an Object With ForeignKey in Django?
Python
8 votes195 views4 answers
Zip a directory in python
Python