Python桶排序与快速排序算法结合 Python实现桶排序与快速排序算法结合应用示例
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本文实例讲述了Python实现桶排序与快速排序算法结合应用的方法。分享给大家供大家参考,具体如下:
#-*- coding: UTF-8 -*- import numpy as np from QuickSort import QuickSort def BucketSort(a, n): barrel = {} for i in xrange(0,n): barrel.setdefault(i, []) min = np.min(a) max = np.max(a) for x in a: for i in xrange(0,n-1): if x >= min +i* (max - min)/n and x < min +(i +1) * (max - min)/n: barrel[i].append(x) elif i == n-2 and x >= min +(i +1) * (max - min)/n: barrel[i+1].append(x) k = 0 for i in xrange(0,n): if len(barrel[i]) != 0: arr = np.array(barrel[i]) QuickSort(arr, 0, len(barrel[i]) -1) for x in arr: a[k] = x k += 1 if __name__ == '__main__': a = np.random.randint(0, 100, size = 10) print "Before sorting..." print "---------------------------------------------------------------" print a print "---------------------------------------------------------------" BucketSort(a, 10) print "After sorting..." print "---------------------------------------------------------------" print a print "---------------------------------------------------------------"
快速排序QuickSort:
#-*- coding: UTF-8 -*- import numpy as np def Partition(a, i, j): x = a[i] #将数组的第一个元素作为初始基准位置 p = i #同时记录下该元素的位置 while i < j: while i < j and a[j] >= x: j -= 1 while i < j and a[i] <= x: i += 1 if i != j: a[i], a[j] = a[j], a[i] #交换a[i]与a[j] a[p], a[i] = a[i], a[p] #将a[p]与a[i]进行交换 p = i #得到分隔位置 return p def QuickSort(a, i, j): if i < j: p = Partition(a, i, j) QuickSort(a, i, p-1) QuickSort (a, p+1, j) if __name__ == '__main__': a = np.random.randint(0, 100, size = 100) print "Before sorting..." print "---------------------------------------------------------------" print a print "---------------------------------------------------------------" QuickSort(a, 0, a.size - 1) print "After sorting..." print "---------------------------------------------------------------" print a print "---------------------------------------------------------------"
程序运行结果:
希望本文所述对大家Python程序设计有所帮助。
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