//树形数据
const listTree = [
{
id: 1,
name: '部门1',
pid: 0,
children: [
{
id: 2,
name: '部门1-1',
pid: 1,
children: [
{
id: 4,
name: '部门1-1-1',
pid: 2,
children: []
}
]
},
{
id: 3,
name: '部门1-2',
pid: 1,
children: [
{
id: 5,
name: '部门1-2-1',
pid: 3,
children: []
}
]
}
]
},
{
id: 6,
name: '部门2',
pid: 0,
children: [
{
id: 7,
name: '部门2-1',
pid: 6,
children: []
}
]
},
{
id: 8,
name: '部门3',
pid: 0,
children: []
}
]
reduce取树行数据的所有子集
function treeTransList(tree, key) {
return tree.reduce(function(con, item) {
var callee = arguments.callee;
con.push(item);
if (item[key] && item[key].length >0)
item[key].reduce(callee, con);
return con;
}, []).map(function(item){
item[key] = [];
return item;
})
}
treeTransList(listTree, 'children')
递归实现
function getItem(tree, result) {
for (let i = 0; i < tree.length; i++) {
if(tree[i].children) {
getItem(tree[i].children, result)
delete tree[i].children;
}
result.push(tree[i])
}
return result;
}
function treeToList(tree) {
const result = [];
getItem(tree, result);
return result;
}
treeToList(listTree)
广度优先遍历法
function treeToList(tree, childName = 'children') {
// 设置临时数组,用来存放队列
let queen = [];
// 设置输出数组,用来存放要输出的一维数组
const result = [];
queen = queen.concat(tree);
// 对树对象进行广度优先的遍历
while(queen.length) {
const first = queen.shift();
if (first[childName]) {
queen = queen.concat(first[childName]);
delete first[childName]
}
result.push(first);
}
return result;
}
treeToList(listTree, 'children')
实现效果
[
{id: 1, name: '部门1', pid: 0},
{id: 2, name: '部门1-1', pid: 1},
{id: 3, name: '部门1-2', pid: 1},
{id: 4, name: '部门1-1-1', pid: 2},
{id: 5, name: '部门1-2-1', pid: 3},
{id: 6, name: '部门2', pid: 0},
{id: 7, name: '部门2-1', pid: 6},
{id: 8, name: '部门3', pid: 0},
]
标签:name,tree,pid,id,children,result,数组,方法,树转
From: https://blog.51cto.com/u_15930000/7351273