We can get the indices of the sorted elements of a given array with the help of argsort() method. This function is used to perform an indirect sort along the given axis using the algorithm specified by the kind keyword. It returns an array of indices of the same shape as arr that would sort the array.
Syntax:
numpy.argsort(arr, axis=-1, kind=’quicksort’, order=None)
Example 1:
Python3
import numpy as npÂ
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# Original arrayarray = np.array([10, 52, 62, 16, 16, 54, 453])print(array)Â
# Indices of the sorted elements of a # given arrayindices = np.argsort(array)print(indices) |
Output:
[ 10 52 62 16 16 54 453] [0 3 4 1 5 2 6]
Example 2:
Python3
import numpy as npÂ
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# Original arrayarray = np.array([1, 2, 3, 4, 5])print(array)Â
# Indices of the sorted elements of # a given arrayindices = np.argsort(array)print(indices) |
Output:
[1 2 3 4 5] [0 1 2 3 4]
Example 3:
Python3
import numpy as np Â
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# input 2d array in_arr = np.array([[ 2, 0, 1], [ 5, 4, 3]]) print ("Input array :\n", in_arr)Â Â Â Â # output sorted array indices out_arr1 = np.argsort(in_arr, kind ='mergesort', axis = 0) print ("\nOutput sorted array indices along axis 0:\n", out_arr1) Â
out_arr2 = np.argsort(in_arr, kind ='heapsort', axis = 1) print ("\nOutput sorted array indices along axis 1:\n", out_arr2) |
Output:
Input array : [[2 0 1] [5 4 3]] Output sorted array indices along axis 0: [[0 0 0] [1 1 1]] Output sorted array indices along axis 1: [[1 2 0] [2 1 0]]
