numpy.sort() in Python

Last Updated : 29 Nov, 2018

numpy.sort() : This function returns a sorted copy of an array.

Parameters :

arr : Array to be sorted.
axis : Axis along which we need array to be started.
order : This argument specifies which fields to compare first.
kind : [‘quicksort’{default}, ‘mergesort’, ‘heapsort’]Sorting algorithm.

Return :

Sorted Array

   # importing libraries 
import numpy as np 
  
# sort along the first axis 
a = np.array([[12, 15], [10, 1]]) 
arr1 = np.sort(a, axis = 0)         
print ("Along first axis : \n", arr1)         
  
  
# sort along the last axis 
a = np.array([[10, 15], [12, 1]]) 
arr2 = np.sort(a, axis = -1)         
print ("\nAlong first axis : \n", arr2) 
  
  
a = np.array([[12, 15], [10, 1]]) 
arr1 = np.sort(a, axis = None)         
print ("\nAlong none axis : \n", arr1) 
 
  

Output :

Along first axis :    [[10  1]   [12 15]]    Along first axis :    [[10 15]   [ 1 12]]    Along none axis :    [ 1 10 12 15]

Python | Numpy matrix.sort()

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