numpy.sort() in Python

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

Python3 1==

# 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]

numpy.sort() in Python

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