输出二叉树的每一层的节点与数目
这脚本是设计怎么输出二叉树的每一层的节点,并统计每一层的节点个数。
解题思路:
(1)采用满完全二叉树的特点来设计代码;
(2)当一个节点的左子树或者右子树为空时,则在子树队列中田间一个空节点;
(3)当子树队列中的节点个数为该层的满层节点数目,则将节点层次、节点数目与节点添加到字典中;
(4)脚本中采用递归方法求取原树的高度,作为树的层次最大值。
class BinaryTree:
def __init__(self, data, left=None, right=None):
self.key = data
self.left = left
self.right = right
def getheightoftree(self, bintree):
if bintree is None:
return 0
if bintree.left is None and bintree.right is None:
return 1
else:
return 1 + max(self.getheightoftree(bintree.left), self.getheightoftree(bintree.right))
def getnodesoflevel(self, bintree):
if bintree.key is None:
return
lvlnoderes = {} # 存储所有层的节点层次、节点数目与节点
lvlnodes = [] # 存储每一层的节点
nodescnt = 0 # 统计每一次层的节点数目
queue = [bintree] # 子树队列-先进先出
lvl = 1
height = self.getheightoftree(bintree)
while height-lvl >= 0:
subtree = queue.pop(0)
if lvl == 1:
lvlnoderes['Level='+str(lvl)] = ['NodesCnt='+str(1), [subtree.key]]
lvl += 1
if subtree.left is not None and subtree.right is not None:
queue.append(subtree.left)
queue.append(subtree.right)
elif subtree.left is None and subtree.right is not None:
nonenode = BinaryTree(None)
queue.append(nonenode)
queue.append(subtree.right)
elif subtree.left is not None and subtree.right is None:
queue.append(subtree.left)
nonenode = BinaryTree(None)
queue.append(nonenode)
else:
nonenode = BinaryTree(None)
queue.append(nonenode)
queue.append(nonenode)
if len(queue) == pow(2, lvl-1):
for nodes in queue:
if nodes.key is not None:
lvlnodes.append(nodes.key)
nodescnt += 1
lvlnoderes['Level=' + str(lvl)] = ['NodesCnt=' + str(nodescnt), lvlnodes]
lvl += 1
lvlnodes = [] # 存储每一层的节点,下一层节点遍历的初始化
nodescnt = 0 # 统计每一层的节点数目,下一层节点遍历的初始化
return lvlnoderes
# 主函数
if __name__ == "__main__":
treeL1 = BinaryTree(1)
treeL1.left = BinaryTree(3)
treeL1.right = BinaryTree(4)
treeR1 = BinaryTree(2)
treeR1.left = BinaryTree(5)
treeR1.right = BinaryTree(6)
tree = BinaryTree(0)
tree.left = treeL1
tree.right = treeR1
# 循环遍历每一层的节点
for key, value in tree.getnodesoflevel(tree).items():
print(key, value[0], value[1])