how to arrange a list of coordinate points in ascending order with respect to origin in python code-CodePudding

array([[-0.06366486, -2.43028317],
   [ 2.01224776, -0.66531383],
   [ 0.77307079, -0.29340495],
   [ 0.39044409,  0.85686349],
   [-0.92426404,  0.34792792],
   [-0.94323693,  0.69295404],
   [-1.34289803, -1.18248516],
   [-1.19844352, -1.27501523],
   [-0.82092882, -0.76365567],
   [ 0.44943198, -1.0941035 ]])

I have array given above , I want to arrange this array points in ascending according to Euclidean distance from origin.

CodePudding user response：

distances to origin can be calculated using np.linalg.norm, then by achieving the ordering (sort_), the main coordinates arr can be sorted based on the distances:

to_dist = np.array([0.0, 0.0])

dist = np.linalg.norm(arr - to_dist, axis=1)
# [2.4311169245398436 2.1193828205433505 0.8268765996421271
#  0.9416271172342628 0.9875818209913788 1.1704192444026826
#  1.7893144700130568 1.7498373374008063 1.121202082512221 
#  1.1828151053140006]

sort_ = np.argsort(dist)
# [2 3 4 8 5 9 7 6 1 0]

res = arr[sort_]
# [[ 0.77307079 -0.29340495]
#  [ 0.39044409  0.85686349]
#  [-0.92426404  0.34792792]
#  [-0.82092882 -0.76365567]
#  [-0.94323693  0.69295404]
#  [ 0.44943198 -1.0941035 ]
#  [-1.19844352 -1.27501523]
#  [-1.34289803 -1.18248516]
#  [ 2.01224776 -0.66531383]
#  [-0.06366486 -2.43028317]]

CodePudding user response：

import numpy as np

arr= np.array(define your 2 dimension al array here)

print(np.sort(arr))

hope this code surely works
Plz reply after using this