(python) leetcode刷题——Minimum Depth of Binary Tree

本文介绍了一种求解二叉树最小深度的算法,通过递归方式找到从根节点到最近叶节点的路径长度。文章详细解析了算法的实现步骤,并提供了完整的Python代码示例。

摘要生成于 C知道 ,由 DeepSeek-R1 满血版支持, 前往体验 >

题目:
Given a binary tree, find its minimum depth.The minimum depth is the
number of nodes along the shortest path from the root node down to the
nearest leaf node.

解析:
找二叉树的根节点离最近叶节点的深度
1,判断当前结点的左右子树是否为空
2,若左右子树均为空,则返回值1
3,若左子树为空,右子树不为空,则返回当前结点的右子结点的深度值+1
4,若右子树为空,左子树不为空,则返回当前结点的左子结点的深度值+1
5,若左右子树均不为空,则返回当前结点的左、右子结点的深度值的更小的那个值+1

代码:

def mindepth(root):
    tmp = root
    if(tmp.left == None and tmp.right == None):
        return 1
    elif(tmp.left == None):
        return mindepth(tmp.right) + 1
    elif(tmp.right == None):
        return mindepth(tmp.left) + 1
    else:
        return(1+min(mindepth(tmp.left),mindepth(tmp.right)))

全部代码:

class treenode :
    def __init__(self,val = None,left = None,right = None):
        self.val = val
        self.left = left
        self.right = right
    def settag(self,tag = None):
        self.tag = tag
    
def insertnode(root,treenode):
    tmp = root
    if (root == None): 
        root = treenode
    while(tmp != None):
        if(treenode.val == tmp.val):
            break
        elif(treenode.val <= tmp.val):
            if(tmp.left != None):
                tmp = tmp.left
            else:
                tmp.left = treenode
        else:
            if(tmp.right != None):
                tmp = tmp.right
            else:
                tmp.right = treenode
    return root
 
def mindepth(root):
    tmp = root
    if(tmp.left == None and tmp.right == None):
        return 1
    elif(tmp.left == None):
        return mindepth(tmp.right) + 1
    elif(tmp.right == None):
        return mindepth(tmp.left) + 1
    else:
        return(1+min(mindepth(tmp.left),mindepth(tmp.right)))

if __name__=='__main__':
    t=treenode()
    L = [8,3,9,2,12,5,34,23,10]
    t.val = L[0]
    for x in L:
        node = treenode()
        node.val = x
        t = insertnode(t,node)
    print(mindepth(t))
    print(maxdepth(t))
评论
添加红包

请填写红包祝福语或标题

红包个数最小为10个

红包金额最低5元

当前余额3.43前往充值 >
需支付:10.00
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明:

1.余额是钱包充值的虚拟货币,按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载,可以购买VIP、付费专栏及课程。

余额充值