reduce实现递归查找属性https://blog.csdn.net/lihefei...
let peoples = {
zhangsan: {
name: '张三',
height: 170,
child: {
name: '张小小'
},
},
lisi: {
name: '李四',
weight: 200,
wife: {
name: '杨玉环'
},
},
wagnwu: {
name: '王五',
age: 21,
},
};
let str = 'lisi.wife.name';
let propArr = str.split('.');
let result = propArr.reduce((prev,next)=>{
return prev[next] ? prev[next] : null;
}, peoples);
console.log(result); //杨玉环
使用reduce()方法处理树形结构数据https://www.cnblogs.com/dhui/...
array.reduce(function(prev, cur, index, array){
...
}, init);
回调函数中的参数:
prev 必需。表示调用回调时的返回值,或者初始值 init。
cur 必需。表示当前元素。
index 可选。表示当前元素的索引。
array 表示原数组。
init 可选。初始值,作为第一次调用回调函数的第一个参数。
其中常用参数:prev 和 cur
注意:回调函数第一次执行时,prev和cur的取值有两种情况:如果调用reduce()时提供了初始值init,prev取init值,cur取数组中的第一个值,此时索引从0开始;如果没有提供初始值init,则prev取数组中的第一个值,cur取数组中的第二个值,此时索引从1开始。
//利用&&符号来判断+执行,简直漂亮极了
{
const arr = ['ab', 'v', 'd', 'ab', 'h', 'e', 'dc', 'e', 'e', 'f']
const newArr = arr.reduce(function(prev, cur){
!prev.includes(cur) && prev.push(cur)
return prev
}, [])
console.log(newArr) // ["ab", "v", "d", "h", "e", "dc", "f"]
}
{
//初始值设为{},用reduce满足统计次数功能
let names = ['Alice', 'Bob', 'Tiff', 'Bruce', 'Alice']
let countedNames = names.reduce((allNames, name)=> {
if (name in allNames) {
allNames[name]++
}
else {
allNames[name] = 1
}
return allNames
}, {})
console.log(countedNames);
// countedNames is:
// { 'Alice': 2, 'Bob': 1, 'Tiff': 1, 'Bruce': 1 }
}
// 利用reduce实现属性值分组
let people = [
{ name: 'Alice', age: 21 },
{ name: 'Max', age: 20 },
{ name: 'Jane', age: 20 }
];
function groupBy(objectArray, property) {
return objectArray.reduce((acc, obj)=> {
let key = obj[property]
if (!acc[key]) {
acc[key] = []
}
acc[key].push(obj)
return acc
}, {})
}
let groupedPeople = groupBy(people, 'age');
console.log(groupedPeople);
// groupedPeople is:
// {
// 20: [
// { name: 'Max', age: 20 },
// { name: 'Jane', age: 20 }
// ],
// 21: [{ name: 'Alice', age: 21 }]
// }
}
{
// 返回对象中的属性为数组的情况
// friends - an array of objects
// where object field "books" is a list of favorite books
let friends = [{
name: 'Anna',
books: ['Bible', 'Harry Potter'],
age: 21
}, {
name: 'Bob',
books: ['War and peace', 'Romeo and Juliet'],
age: 26
}, {
name: 'Alice',
books: ['The Lord of the Rings', 'The Shining'],
age: 18
}]
// allbooks - list which will contain all friends' books +
// additional list contained in initialValue
let allbooks = friends.reduce(function(accumulator, currentValue) {
return [...accumulator, ...currentValue.books]
}, [])
// allbooks = [
// 'Bible', 'Harry Potter', 'War and peace',
// 'Romeo and Juliet', 'The Lord of the Rings',
// 'The Shining'
// ]
}
{
const numbers = [-5, 6, 2, 0,];
const doubledPositiveNumbers = numbers.reduce((accumulator, currentValue) => {
const doubled = (num)=>{
accumulator.push(num*2);
}
//判断,满足条件即执行函数
currentValue > 0 && doubled(currentValue);
return accumulator;
}, []);
console.log(doubledPositiveNumbers); // [12, 4]
}
{
/**
* Runs promises from array of functions that can return promises
* in chained manner
*
* @param {array} arr - promise arr
* @return {Object} promise object
*/
function runPromiseInSequence(arr, input) {
return arr.reduce(
(promiseChain, currentFunction) => promiseChain.then(currentFunction),
// 这里的Promise.resolve(input)相当于initialValue
Promise.resolve(input)
)
}
// promise function 1
function p1(a) {
return new Promise((resolve, reject) => {
console.log(a);
resolve(a * 5)
})
}
// promise function 2
function p2(a) {
return new Promise((resolve, reject) => {
console.log(a);
resolve(a * 2)
})
}
// function 3 - will be wrapped in a resolved promise by .then()
function f3(a) {
console.log(a);
return a * 3
}
// promise function 4
function p4(a) {
return new Promise((resolve, reject) => {
console.log(a);
resolve(a * 4)
})
}
const promiseArr = [p1, p2, f3, p4]
runPromiseInSequence(promiseArr, 10)
.then(console.log) // 1200
}
{
// Building-blocks to use for composition
const double = x => x + x
const triple = x => 3 * x
const quadruple = x => 4 * x
// Function composition enabling pipe functionality
const pipe = (...functions) => input => functions.reduce(
(acc, fn) => fn(acc),
// 这里的input相当于initialValue
input
)
// Composed functions for multiplication of specific values
const multiply6 = pipe(double, triple)
const multiply9 = pipe(triple, triple)
const multiply16 = pipe(quadruple, quadruple)
const multiply24 = pipe(double, triple, quadruple)
// Usage
multiply6(6) // 36
multiply9(9) // 81
multiply16(16) // 256
multiply24(10) // 240
}
{
if (!Array.prototype.mapUsingReduce) {
Array.prototype.mapUsingReduce = function(callback, thisArg) {
return this.reduce((mappedArray, currentValue, index, array)=> {
mappedArray[index] = callback.call(thisArg, currentValue, index, array)
return mappedArray
}, [])
}
}
[1, 2, , 3].mapUsingReduce(
(currentValue, index, array) => currentValue + index + array.length
) // [5, 7, , 10]
}
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