关于python和欧几里得距离计算的问题

Question

I'm learning python and i'm wondering if someone could help steer me in the right direction. I have to write some python code that will randomly generate N (N is how many the user specifies when prompted) points on a 2D plane which I believe I have done:

from random import randrange
# Example points in 2-dimensional space...
i = int(input('How many coordinates would you like to generate? \n'))

coords_list = [(randrange(100), randrange(100)) for _ in range(i)]

print(coords_list)

This creates a list of coordinate tuples: [(1,2), (3,4)] etc.

The question then asks calculate the distance matrix between these points but I can't use numpy or anything else like that, I have to use a distance function and I've come across a euclidean equation but i'm unsure on how that will help me build the matrix.

If someone could give me some hints or tips I would be very grateful

Many thanks, Jack

Answer 1

As per what I understand through your question is you need to create n Coordinates and then make a distance matrix over all the points in the plane.

You can use scipy is a Python-based ecosystem of open-source software for mathematics, science, and engineering. - Scipy

This function - scipy.spatial.distance.euclidean will hel you to calculate distance between two points in a plane.

And, you can create a loop over it to store it in a matrix to create your distance matrix.

In case I am missing some point from your question please let me know.

Thanks