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Quick Sort Algorithm #4
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# Python program for implementation of Quicksort Sort | ||
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# This function takes last element as pivot, places | ||
# the pivot element at its correct position in sorted | ||
# array, and places all smaller (smaller than pivot) | ||
# to left of pivot and all greater elements to right | ||
# of pivot | ||
def partition(arr,low,high): | ||
i = ( low-1 ) # index of smaller element | ||
pivot = arr[high] # pivot | ||
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for j in range(low , high): | ||
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# If current element is smaller than or | ||
# equal to pivot | ||
if arr[j] <= pivot: | ||
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# increment index of smaller element | ||
i = i+1 | ||
arr[i],arr[j] = arr[j],arr[i] | ||
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arr[i+1],arr[high] = arr[high],arr[i+1] | ||
return ( i+1 ) | ||
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# The main function that implements QuickSort | ||
# arr[] --> Array to be sorted, | ||
# low --> Starting index, | ||
# high --> Ending index | ||
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# Function to do Quick sort | ||
def quickSort(arr,low,high): | ||
if low < high: | ||
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# pi is partitioning index, arr[p] is now | ||
# at right place | ||
pi = partition(arr,low,high) | ||
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# Separately sort elements before | ||
# partition and after partition | ||
quickSort(arr, low, pi-1) | ||
quickSort(arr, pi+1, high) | ||
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# Driver code to test above | ||
arr = [10, 7, 8, 9, 1, 5] | ||
n = len(arr) | ||
quickSort(arr,0,n-1) | ||
print ("Sorted array is:") | ||
for i in range(n): | ||
print ("%d" %arr[i]), | ||
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# This code is contributed by Abdul Aziz |
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