数据流中的中位数
数据流中的中位数
https://www.nowcoder.com/practice/9be0172896bd43948f8a32fb954e1be1
题目
如何得到一个数据流中的中位数?如果从数据流中读出奇数个数值,那么中位数就是所有数值排序之后位于中间的数值。如果从数据流中读出偶数个数值,那么中位数就是所有数值排序之后中间两个数的平均值。我们使用Insert()方法读取数据流,使用GetMedian()方法获取当前读取数据的中位数。
思路
我们需要维护一个最大堆和最小堆
代码
# 未封装版本
class Solution:
def __init__(self):
self.littleValueMaxHeap = []
self.bigValueMinHeap = []
self.maxHeapCount = 0
self.minHeapCount = 0
def createMaxHeap(self, num):
self.littleValueMaxHeap.append(num)
tmpIndex = len(self.littleValueMaxHeap) - 1
while tmpIndex != 0:
parentIndex = (tmpIndex - 1) >> 1
if self.littleValueMaxHeap[parentIndex] < self.littleValueMaxHeap[tmpIndex]:
self.littleValueMaxHeap[parentIndex], self.littleValueMaxHeap[tmpIndex] = self.littleValueMaxHeap[tmpIndex], self.littleValueMaxHeap[parentIndex]
tmpIndex = parentIndex
else:
break
def adjustMaxHeap(self, num):
if num < self.littleValueMaxHeap[0]:
self.littleValueMaxHeap[0] = num
maxHeapLen = len(self.littleValueMaxHeap)
tmpIndex = 0
while tmpIndex < maxHeapLen:
leftIndex = tmpIndex * 2 + 1
rightIndex = tmpIndex *2 + 2
if rightIndex < maxHeapLen:
largerIndex = rightIndex if self.littleValueMaxHeap[leftIndex] < self.littleValueMaxHeap[rightIndex] else leftIndex
elif leftIndex < maxHeapLen:
largerIndex = leftIndex
else:
break
if self.littleValueMaxHeap[tmpIndex] < self.littleValueMaxHeap[largerIndex]:
self.littleValueMaxHeap[tmpIndex], self.littleValueMaxHeap[largerIndex] = self.littleValueMaxHeap[largerIndex], self.littleValueMaxHeap[tmpIndex]
tmpIndex = largerIndex
else:
break
def createMinHeap(self, num):
self.bigValueMinHeap.append(num)
tmpIndex = len(self.bigValueMinHeap) - 1
while tmpIndex != 0:
parentIndex = (tmpIndex - 1) >> 1
if self.bigValueMinHeap[tmpIndex] < self.bigValueMinHeap[parentIndex]:
self.bigValueMinHeap[parentIndex], self.bigValueMinHeap[tmpIndex] = self.bigValueMinHeap[tmpIndex], self.bigValueMinHeap[parentIndex]
tmpIndex = parentIndex
else:
break
def adjustMinHeap(self, num):
if num < self.bigValueMinHeap[0]:
self.littleValueMaxHeap[0] = num
minHeapLen = len(self.bigValueMinHeap)
tmpIndex = 0
while tmpIndex < minHeapLen:
leftIndex = tmpIndex * 2 + 1
rightIndex = tmpIndex *2 + 2
if rightIndex < minHeapLen:
smallerIndex = rightIndex if self.bigValueMinHeap[rightIndex] < self.bigValueMinHeap[leftIndex] else leftIndex
elif leftIndex < minHeapLen:
smallerIndex = leftIndex
else:
break
if self.bigValueMinHeap[smallerIndex] < self.bigValueMinHeap[tmpIndex]:
self.bigValueMinHeap[tmpIndex], self.bigValueMinHeap[smallerIndex] = self.bigValueMinHeap[smallerIndex], self.bigValueMinHeap[tmpIndex]
tmpIndex = smallerIndex
else:
break
def Insert(self, num):
if self.minHeapCount < self.maxHeapCount:
self.minHeapCount += 1
if num < self.littleValueMaxHeap[0]:
tmpNum = self.littleValueMaxHeap[0]
self.adjustMaxHeap(num)
self.createMinHeap(tmpNum)
else:
self.createMinHeap(num)
else:
self.maxHeapCount += 1
if self.littleValueMaxHeap == []:
self.createMaxHeap(num)
else:
if self.bigValueMinHeap[0] < num:
tmpNum = self.bigValueMinHeap[0]
self.adjustMinHeap(num)
self.createMaxHeap(tmpNum)
else:
self.createMaxHeap(num)
def GetMedian(self):
if self.minHeapCount < self.maxHeapCount:
return self.littleValueMaxHeap[0]
else:
return (self.bigValueMinHeap[0] + self.littleValueMaxHeap[0]) / 2
# 封装版本
class Solution:
def __init__(self):
self.littleValueMaxHeap = []
self.bigValueMinHeap = []
self.maxHeapCount = 0
self.minHeapCount = 0
def createHeap(self, num, heap, cmpFunc):
heap.append(num)
tmpIndex = len(heap) - 1
while tmpIndex != 0:
parentIndex = (tmpIndex - 1) >> 1
if cmpFunc(heap[tmpIndex], heap[parentIndex]):
heap[parentIndex], heap[tmpIndex] = heap[tmpIndex], heap[parentIndex]
tmpIndex = parentIndex
else:
break
def adjustHeap(self, num, heap, cmpFunc):
if num < heap[0]:
heap[0] = num
heapLen = len(heap)
tmpIndex = 0
while tmpIndex < heapLen:
leftIndex = tmpIndex * 2 + 1
rightIndex = tmpIndex *2 + 2
if rightIndex < heapLen:
largerIndex = rightIndex if cmpFunc(heap[rightIndex], heap[leftIndex]) else leftIndex
elif leftIndex < heapLen:
largerIndex = leftIndex
else:
break
if cmpFunc(heap[largerIndex], heap[tmpIndex]):
heap[tmpIndex], heap[largerIndex] = heap[largerIndex], heap[tmpIndex]
tmpIndex = largerIndex
else:
break
def Insert(self, num):
def cmpMaxHeap(a, b):
return b < a
def cmpMinHeap(a, b):
return a < b
if self.minHeapCount < self.maxHeapCount:
self.minHeapCount += 1
if num < self.littleValueMaxHeap[0]:
tmpNum = self.littleValueMaxHeap[0]
self.adjustHeap(num, self.littleValueMaxHeap, cmpMaxHeap)
self.createHeap(tmpNum, self.bigValueMinHeap, cmpMinHeap)
else:
self.createHeap(num, self.bigValueMinHeap, cmpMinHeap)
else:
self.maxHeapCount += 1
if self.littleValueMaxHeap == []:
self.createHeap(num, self.littleValueMaxHeap, cmpMaxHeap)
else:
if self.bigValueMinHeap[0] < num:
tmpNum = self.bigValueMinHeap[0]
self.adjustHeap(num, self.bigValueMinHeap, cmpMinHeap)
self.createHeap(tmpNum, self.littleValueMaxHeap, cmpMaxHeap)
else:
self.createHeap(num, self.littleValueMaxHeap, cmpMaxHeap)
def GetMedian(self):
if self.minHeapCount < self.maxHeapCount:
return self.littleValueMaxHeap[0]
else:
return (self.bigValueMinHeap[0] + self.littleValueMaxHeap[0]) / 2
if __name__ == '__main__':
s = Solution()
for i in [5,2,3,4,1,6,7,0,8]:
s.Insert(i)
print(s.GetMedian())
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