/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 vote190 views1 answer
Import models
Python
0 vote133 views2 answers
Track my location
Python
3 votes169 views2 answers
Command for python shell
Python
2 votes157 views1 answer
Use of == python
Python
0 vote122 views1 answer
A chef has a large container full of olive oil. In one night, after he used 252525 quarts of olive oil, 35.9\%35.9%35, point, 9, percent of the full container of olive oil remained. How many quarts of olive oil remained in the container?
Python
0 vote163 views1 answer
Shorter Max fonction code in python
Python
25 votes163 views6 answers
Uninstall all packages python
Python
0 vote189 views1 answer
90/360
Python
0 vote198 views1 answer
Is python the best robotic langauge
Python
0 vote170 views1 answer
Fill misssing values using sklrean
Python