numpy.sort() in Python
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 librariesimport numpy as np # sort along the first axisa = np.array([[12, 15], [10, 1]])arr1 = np.sort(a, axis = 0) print ("Along first axis : \n", arr1) # sort along the last axisa = 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]
