简单地比较所有值，并返回数组与不重复的值。

var main = [9, '$', 'x', 'r', 3, 'A', '#', 0, 1];

var arr0 = ['Z', 9, 'e', '$', 'r'];
var arr1 = ['x', 'r', 3, 'A', '#'];
var arr2 = ['m', '#', 'a', 0, 'r'];
var arr3 = ['$', 1, 'n', '!', 'A'];


Array.prototype.diff = function(arrays) {
    var items = [].concat.apply(this, arguments);
    var diff = [].slice.call(items), i, l, x, pos;

    // go through all items
    for (x = 0, i = 0, l = items.length; i < l; x = 0, i++) {
        // find all positions
        while ((pos = diff.indexOf(items[i])) > -1) {
            // remove item + increase found count
            diff.splice(pos, 1) && x++;
        }
        // if item was found just once, put it back
        if (x === 1) diff.push(items[i]);
    }
    // get all not duplicated items
    return diff;
};

main.diff(arr0, arr1, arr2, arr3).join(''); // returns "Zeman!"

[].diff(main, arr0, arr1, arr2, arr3).join(''); // returns "Zeman!"

ES2015的函数方法

计算两个数组之间的差值是Set操作之一。这个术语已经表明应该使用本机Set类型，以便提高查找速度。不管怎样，当你计算两个集合之间的差值时，有三种排列:

[+left difference] [-intersection] [-right difference]
[-left difference] [-intersection] [+right difference]
[+left difference] [-intersection] [+right difference]

下面是反映这些排列的功能性解决方案。

离开的区别:

// small, reusable auxiliary functions const apply = f => x => f(x); const flip = f => y => x => f(x) (y); const createSet = xs => new Set(xs); const filter = f => xs => xs.filter(apply(f)); // left difference const differencel = xs => ys => { const zs = createSet(ys); return filter(x => zs.has(x) ? false : true ) (xs); }; // mock data const xs = [1,2,2,3,4,5]; const ys = [0,1,2,3,3,3,6,7,8,9]; // run the computation console.log( differencel(xs) (ys) );

正确的区别:

差异是微不足道的。这与翻转的参数不同。为了方便，你可以写一个函数:const differencer = flip(difference)。这是所有!

对称的区别:

现在我们有了左边和右边，实现对称的差异也变得微不足道:

// small, reusable auxiliary functions const apply = f => x => f(x); const flip = f => y => x => f(x) (y); const concat = y => xs => xs.concat(y); const createSet = xs => new Set(xs); const filter = f => xs => xs.filter(apply(f)); // left difference const differencel = xs => ys => { const zs = createSet(ys); return filter(x => zs.has(x) ? false : true ) (xs); }; // symmetric difference const difference = ys => xs => concat(differencel(xs) (ys)) (flip(differencel) (xs) (ys)); // mock data const xs = [1,2,2,3,4,5]; const ys = [0,1,2,3,3,3,6,7,8,9]; // run the computation console.log( difference(xs) (ys) );

我想这个例子是一个很好的起点，可以让你了解函数式编程的含义:

使用可以以许多不同方式组合在一起的构建块进行编程。

我就遇到了这个问题，就是求两个简单数组的差值

var a1 = ['a', 'b'];
var a2 = ['a', 'b', 'c', 'd'];

// need ["c", "d"]

我不明白为什么不使用基本的for循环:

for(var i=0; i < a1.length; i++) {
  for(var j=0; j < a2.length; j++) {
    if(a1[i] == a2[j]) {
      a2.splice(j, 1);
    }
  }
}

这将返回所需的["c"， "d"]

[编辑]提议正上方，看到晚了。

不管怎样，有什么好的理由来避免这个简单的解决方案吗?

如果不使用hasOwnProperty，那么我们有不正确的元素。例如:

[1,2,3].diff([1,2]); //Return ["3", "remove", "diff"] This is the wrong version

我的版本:

Array.prototype.diff = function(array2)
  {
    var a = [],
        diff = [],
        array1 = this || [];

    for (var i = 0; i < array1.length; i++) {
      a[array1[i]] = true;
    }
    for (var i = 0; i < array2.length; i++) {
      if (a[array2[i]]) {
        delete a[array2[i]];
      } else {
        a[array2[i]] = true;
      }
    }

    for (var k in a) {
      if (!a.hasOwnProperty(k)){
        continue;
      }
      diff.push(k);
    }

    return diff;
  }

只是修整字符串以确保....空格不会影响差异

function arr_diff(a1, a2) {
    var a=[], diff=[];
    for(var i=0;i<a1.length;i++)
        a[a1[i]]=true;
    for(var i=0;i<a2.length;i++)
        if(a[a2[i].trim()]) delete a[a2[i].trim()];
    else a[a2[i].trim()]=true;
    for(var k in a)
        diff.push(k);
    return diff;
}

我一直在寻找一个不涉及使用不同库的简单答案，我想出了我自己的答案，我想这里没有提到过。 我不知道它的效率如何，但它确实有效;

    function find_diff(arr1, arr2) {
      diff = [];
      joined = arr1.concat(arr2);
      for( i = 0; i <= joined.length; i++ ) {
        current = joined[i];
        if( joined.indexOf(current) == joined.lastIndexOf(current) ) {
          diff.push(current);
        }
      }
      return diff;
    }

对于我的代码，我也需要删除副本，但我想这并不总是可取的。

我想主要的缺点是它可能会比较许多已经被拒绝的选择。