例子:
const array1 = [1, 2, 3, 4]; const reducer = (accumulator, currentValue) => accumulator + currentValue; // 1 + 2 + 3 + 4 console.log(array1.reduce(reducer)); // expected output: 10 // 5 + 1 + 2 + 3 + 4 console.log(array1.reduce(reducer, 5)); // expected output: 15
reducer 函数接收4个参数:
- Accumulator (acc) (累计器)
- Current Value (cur) (当前值)
- Current Index (idx) (当前索引)
- Source Array (src) (源数组)
您的 reducer 函数的返回值分配给累计器,该返回值在数组的每个迭代中被记住,并最后成为最终的单个结果值。
例子
数组里所有值的和
函数表示伐:
var sum = [0, 1, 2, 3].reduce(function (accumulator, currentValue) { return accumulator + currentValue; }, 0);console.log(sum)
你也可以写成箭头函数的形式:
var total = [ 0, 1, 2, 3 ].reduce( ( acc, cur ) => acc + cur, 0 );
console.log(total);
累加对象数组里的值
要累加对象数组中包含的值,必须提供初始值,以便各个item正确通过你的函数。
var initialValue = 0; var sum = [{x: 1}, {x:2}, {x:3}].reduce(function (accumulator, currentValue) { return accumulator + currentValue.x; },initialValue) console.log(sum) // logs 6
你也可以写成箭头函数的形式
var initialValue = 0; var sum = [{x: 1}, {x:2}, {x:3}].reduce( (accumulator, currentValue) => accumulator + currentValue.x ,initialValue ); console.log(sum)
将二维数组转化为一维
var flattened = [[0, 1], [2, 3], [4, 5]].reduce( function(a, b) { return a.concat(b); }, [] ); // flattened is [0, 1, 2, 3, 4, 5]
你也可以写成箭头函数的形式
var flattened = [[0, 1], [2, 3], [4, 5]].reduce( ( acc, cur ) => acc.concat(cur), [] );
计算数组中每个元素出现的次数
var names = ['Alice', 'Bob', 'Tiff', 'Bruce', 'Alice']; var countedNames = names.reduce(function (allNames, name) { if (name in allNames) { allNames[name]++; } else { allNames[name] = 1; } return allNames; }, {}); // countedNames is: // { 'Alice': 2, 'Bob': 1, 'Tiff': 1, 'Bruce': 1 }
按属性对object分类
var people = [ { name: 'Alice', age: 21 }, { name: 'Max', age: 20 }, { name: 'Jane', age: 20 } ]; function groupBy(objectArray, property) { return objectArray.reduce(function (acc, obj) { var key = obj[property]; if (!acc[key]) { acc[key] = []; } acc[key].push(obj); return acc; }, {}); } var groupedPeople = groupBy(people, 'age'); // groupedPeople is: // { // 20: [ // { name: 'Max', age: 20 }, // { name: 'Jane', age: 20 } // ], // 21: [{ name: 'Alice', age: 21 }] // }
使用扩展运算符和initialValue绑定包含在对象数组中的数组
// friends - 对象数组 // where object field "books" - list of favorite books var 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 var allbooks = friends.reduce(function(prev, curr) { return [...prev, ...curr.books]; }, ['Alphabet']); // allbooks = [ // 'Alphabet', 'Bible', 'Harry Potter', 'War and peace', // 'Romeo and Juliet', 'The Lord of the Rings', // 'The Shining' // ]
数组去重
let arr = [1,2,1,2,3,5,4,5,3,4,4,4,4]; let result = arr.sort().reduce((init, current)=>{ if(init.length===0 || init[init.length-1]!==current){ init.push(current); } return init; }, []); console.log(result); //[1,2,3,4,5]
按顺序运行Promise
/** * 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), Promise.resolve(input) ); } // promise function 1 function p1(a) { return new Promise((resolve, reject) => { resolve(a * 5); }); } // promise function 2 function p2(a) { return new Promise((resolve, reject) => { resolve(a * 2); }); } // function 3 - will be wrapped in a resolved promise by .then() function f3(a) { return a * 3; } // promise function 4 function p4(a) { return new Promise((resolve, reject) => { resolve(a * 4); }); } const promiseArr = [p1, p2, f3, p4]; runPromiseInSequence(promiseArr, 10) .then(console.log); // 1200
功能型函数管道
// 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), 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
Polyfill
// Production steps of ECMA-262, Edition 5, 15.4.4.21 // Reference: http://es5.github.io/#x15.4.4.21 // https://tc39.github.io/ecma262/#sec-array.prototype.reduce if (!Array.prototype.reduce) { Object.defineProperty(Array.prototype, 'reduce', { value: function(callback /*, initialValue*/) { if (this === null) { throw new TypeError( 'Array.prototype.reduce ' + 'called on null or undefined' ); } if (typeof callback !== 'function') { throw new TypeError( callback + ' is not a function'); } // 1. Let O be ? ToObject(this value). var o = Object(this); // 2. Let len be ? ToLength(? Get(O, "length")). var len = o.length >>> 0; // Steps 3, 4, 5, 6, 7 var k = 0; var value; if (arguments.length >= 2) { value = arguments[1]; } else { while (k < len && !(k in o)) { k++; } // 3. If len is 0 and initialValue is not present, // throw a TypeError exception. if (k >= len) { throw new TypeError( 'Reduce of empty array ' + 'with no initial value' ); } value = o[k++]; } // 8. Repeat, while k < len while (k < len) { // a. Let Pk be ! ToString(k). // b. Let kPresent be ? HasProperty(O, Pk). // c. If kPresent is true, then // i. Let kValue be ? Get(O, Pk). // ii. Let accumulator be ? Call( // callbackfn, undefined, // « accumulator, kValue, k, O »). if (k in o) { value = callback(value, o[k], k, o); } // d. Increase k by 1. k++; } // 9. Return accumulator. return value; } }); }