How to find euclidean distance in Python

The euclidean distance is the shortest distance between two points. For example, the euclidean distance between (0,0,0) and (1,1,1) is 1.73205.

Solution for How to find euclidean distance in Python : You can use numpy.linalg.norm() to find euclidean distance Create two numpy.array objects to represent points. Call numpy.linalg.norm(point_a – point_b) to find the euclidean distance between the points point_a and point_b.


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