/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

14 votes223 views3 answers
Python remove first and last character from string
Python
6 votes247 views2 answers
Python 2d array append
Python
11 votes248 views4 answers
Python execute shell command and get output
Python
1 vote257 views1 answer
Set time complexity python
Python
0 vote269 views1 answer
Python column = sum of list of columns
Python
0 vote225 views1 answer
Make exact copy of an environment
Python
0 vote227 views1 answer
No module named googlesearch
Python
0 vote259 views1 answer
Python to C++ converter
Python
0 vote270 views2 answers
How to schedule python script in windows
Python
9 votes254 views1 answer
Bee movie script
Python