/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

3 votes192 views2 answers
How to create a label in python
Python
12 votes134 views3 answers
Delete all files in a directory python
Python
0 vote144 views1 answer
Cant import flask mail
Python
18 votes149 views6 answers
Python get last element of array
Python
0 vote146 views1 answer
Increment numper in python
Python
18 votes150 views5 answers
Flask minimal app
Python
69 votes153 views3 answers
Puthon for loop
Python
2 votes196 views2 answers
Django request.data
Python Django
0 vote148 views2 answers
Python randint with leading zero
Python
2 votes194 views1 answer
Get stats from array
Python