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Python – math.dist() method

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  • Last Updated : 23 Jan, 2020
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Math module in Python contains a number of mathematical operations, which can be performed with ease using the module. math.dist() method in Python is used to the Euclidean distance between two points p and q, each given as a sequence (or iterable) of coordinates. The two points must have the same dimension.
This method is new in Python version 3.8.

Syntax: math.dist(p, q)

Parameters:
p: A sequence or iterable of coordinates representing first point
q: A sequence or iterable of coordinates representing second point

Returns: the calculated Euclidean distance between the given points.

Code #1: Use of math.dist() method




# Python Program to explain math.dist() method
  
# Importing math module
import math
  
# One dimensional Point
  
# Coordinate of Point P
P = 3
  
# Coordinates of point Q
Q = -8
  
# Calculate the Euclidean distance 
# between points P and Q
eDistance = math.dist([P], [Q])
print(eDistance)

Output:

11.0

Code #2:




# Python Program to explain math.dist() method
  
# Importing math module
import math
  
# Two dimensional Point
  
# Coordinates of Point P
Px = 3 
Py = 7
  
# Coordinates of point Q
Qx = -5
Qy = -9
  
# Calculate the Euclidean distance 
# between points P and Q
eDistance = math.dist([Px, Py], [Qx, Qy])
print(eDistance)
  
  
# Three-dimensional point
  
# Coordinates of Point P
P = [3, 6, 9]
  
# Coordinates of point Q
Q = [1, 0, -2
  
# Calculate the Euclidean distance 
# between points P and Q
eDistance = math.dist(P, Q)
print(eDistance)

Output:

17.88854381999832
12.688577540449518

Code #3:




# Python Program to explain math.dist() method
  
# Importing math module
import math
  
# n-dimensional Point
  
# Coordinates of Point P
P = [3, 9, 7, 2, 4, 5
  
# Coordinates of point Q
Q = [-5, -3, -9, 0, 6, 2]
  
# Calculate the Euclidean distance 
# between points P and Q
eDistance = math.dist(P, Q)
print(eDistance)
  
# Dimension of both points 
# should be the same 

Output:

21.93171219946131

Reference: Python math library


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