What is sort() in NumPy?
In Python, the NumPy library has a function called sort(), which computes the sorting of an array. It returns a sorted copy of the array along the given axis of the same shape as the input array, in sorted order.
Syntax
numpy.sort(array, axis, kind, order)Parameters
-
array(array_like): This specifies the array we want to sort. -
axis(int or None), optional: This specifies the axis along which we want to sort. Default value is-1specifying the last used axis. To use a flattened array,Noneis used. -
kind(quicksort, mergesort, heapsort, stable), optional: This specifies the sorting algorithm to be used. The default value is “quicksort”. -
order(str or list of str), optional: This specifies the order in which to compare fields.
Return value
ndarray: This returns a sorted array of the same type and shape, according the the specified parameters.
Example
#importing numpy libararyimport numpy as np#initializing input numpy arrayarray1 = np.array([[ 4, 6, 2], [ 5, 1, 3]])#computing merge sortresult1 = np.sort(array1, kind ='mergesort', axis = 0)print ("merge sort", result1)#computing heapsortresult2 = np.sort(array1, kind ='heapsort', axis = 1)print ("heap sort", result2)#computing quicksortresult3 = np.sort(array1, kind ='quicksort', axis = 1)print ("quick sort", result3)
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