Python – math.dist() method

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