Compute euclidean distance¶
Compute euclidean distance.
Note:
In mathematics, the Euclidean distance or Euclidean metric is the
“ordinary” (i.e. straight-line) distance between two points in Euclidean
space.
With this distance, Euclidean space becomes a metric space.
The associated norm is called the Euclidean norm.
Expected output:
Euclidean distance from x to y: 4.69041575982343
import math
# Example points in 3-dimensional space...
x = (5, 6, 7)
y = (8, 9, 9)
distance = math.sqrt(sum([(a - b) ** 2 for a, b in zip(x, y)]))
print("Euclidean distance from x to y: ",distance)
Output:
Euclidean distance from x to y: 4.69041575982343