func levelOrder(_ root: TreeNode?) -> [Int] {
guard let r = root else { return [] }
var result: [Int] = []
var queue: [TreeNode] = [r]
while queue.isEmpty == false {
let first = queue[0]
result.append(first.val)
if let left = first.left {
queue.append(left)
}
if let right = first.right {
queue.append(right)
}
queue.removeFirst()
}
return result
}
二、 逐行打印
2.1 题目
从上到下按层打印二叉树,同一层的节点按从左到右的顺序打印,每一层打印到一行。
例如:
给定二叉树: [3,9,20,null,null,15,7],
3
/ \
9 20
/ \
15 7
返回其层次遍历结果:
[
[3],
[9,20],
[15,7]
]
2.2 分析
在第一种遍历的基础上,这本题加上了换行的逻辑。我们只需要加上换行的判断逻辑就可以了。
2.3 题解
func levelOrder(_ root: TreeNode?) -> [[Int]] {
var queue: [TreeNode] = []
/// 当前行需要继续打印的数量
var toBePrint = 0
/// 下一行的数量
var nextLevelCount = 0
var result: [[Int]] = []
var temp: [Int] = []
if let r = root {
queue.append(r)
toBePrint += 1
}
while queue.isEmpty == false {
if let first = queue.first {
temp.append(first.val)
queue.removeFirst()
toBePrint -= 1
if let left = first.left {
queue.append(left)
nextLevelCount += 1
}
if let right = first.right {
queue.append(right)
nextLevelCount += 1
}
if toBePrint == 0 {
result.append(temp)
temp = []
toBePrint = nextLevelCount
nextLevelCount = 0
}
}
}
return result
}
func levelOrder(_ root: TreeNode?) -> [[Int]] {
var queue: [TreeNode] = []
var toBePrint = 0
var nextLevelCount = 0
var result: [[Int]] = []
var temp: [Int] = []
var flag = false
if let r = root {
queue.append(r)
toBePrint += 1
}
while queue.isEmpty == false {
if let first = queue.first {
temp.append(first.val)
queue.removeFirst()
toBePrint -= 1
if flag {
if let left = first.left {
queue.append(left)
nextLevelCount += 1
}
if let right = first.right {
queue.append(right)
nextLevelCount += 1
}
}
else {
if let right = first.right {
queue.append(right)
nextLevelCount += 1
}
if let left = first.left {
queue.append(left)
nextLevelCount += 1
}
}
if toBePrint == 0 {
result.append(temp)
temp = []
toBePrint = nextLevelCount
nextLevelCount = 0
flag.toggle()
}
}
}
return result
}