如何从另一个数组的所有元素中过滤一个数组

2020/11/10 08:23 · javascript ·  · 0评论


我想了解
从另一个数组的所有元素中过滤数组的最佳方法我尝试使用过滤器功能,但是如何给它提供要删除的值并没有解决。
就像是:

var array = [1,2,3,4];
var anotherOne = [2,4];
var filteredArray = array.filter(myCallback);
// filteredArray should now be [1,3]


function myCallBack(){
    return element ! filteredArray; 
    //which clearly can't work since we don't have the reference <,< 
}

如果过滤器功能没有用,您将如何实现呢?

编辑:我检查了可能重复的问题,它可能对那些容易理解javascript的人有用。选中的答案很好使事情变得容易。

您可以使用函数this参数filter()来避免将过滤器数组存储在全局变量中。

var filtered = [1, 2, 3, 4].filter(
    function(e) {
      return this.indexOf(e) < 0;
    },
    [2, 4]
);
console.log(filtered);

我会做以下事情;

var arr = [1,2,3,4],
    brr = [2,4],
    res = arr.filter(f => !brr.includes(f));
console.log(res);
var array = [1,2,3,4];
var anotherOne = [2,4];
var filteredArray = array.filter(myCallBack);

function myCallBack(el){
  return anotherOne.indexOf(el) < 0;
}

在回调中,检查arrayin的每个值是否在anotherOne

https://jsfiddle.net/0tsyc1sx/

如果您使用lodash.js,请使用_.difference

filteredArray = _.difference(array, anotherOne);

演示版

如果您有一个对象数组:

var array = [{id :1, name :"test1"},{id :2, name :"test2"},{id :3, name :"test3"},{id :4, name :"test4"}];

var anotherOne = [{id :2, name :"test2"}, {id :4, name :"test4"}];

var filteredArray  = array.filter(function(array_el){
   return anotherOne.filter(function(anotherOne_el){
      return anotherOne_el.id == array_el.id;
   }).length == 0
});

演示对象数组

用lodash演示对象的diff数组

        /* Here's an example that uses (some) ES6 Javascript semantics to filter an object array by another object array. */

        // x = full dataset
        // y = filter dataset
        let x = [
            {"val": 1, "text": "a"},
            {"val": 2, "text": "b"},
            {"val": 3, "text": "c"},
            {"val": 4, "text": "d"},
            {"val": 5, "text": "e"}
            ],
            y = [
            {"val": 1, "text": "a"},
            {"val": 4, "text": "d"}               
            ];

        // Use map to get a simple array of "val" values. Ex: [1,4]
        let yFilter = y.map(itemY => { return itemY.val; });

        // Use filter and "not" includes to filter the full dataset by the filter dataset's val.
        let filteredX = x.filter(itemX => !yFilter.includes(itemX.val));

        // Print the result.
        console.log(filteredX);

下面的代码是相对于另一个数组过滤数组的最简单方法。两个数组都可以在其中包含对象而不是值。

let array1 = [1, 3, 47, 1, 6, 7];
let array2 = [3, 6];
let filteredArray1 = array1.filter(el => array2.includes(el));
console.log(filteredArray1); 

输出: [3, 6]

您的问题有很多答案,但是我看不到有人使用lambda表达式:

var array = [1,2,3,4];
var anotherOne = [2,4];
var filteredArray = array.filter(x => anotherOne.indexOf(x) < 0);

以上所有解决方案均“有效”,但对于性能而言并非最佳,并且都以相同的方式解决该问题,即使用Array.prototype.indexOfArray.prototype.includes在每个点处线性搜索所有条目更快的解决方案(即使在大多数情况下,甚至比二进制搜索还要快)将是对数组进行排序,并在前进时跳过,如下所示。但是,缺点是这要求数组中的所有条目都是数字或字符串。但是,在某些罕见情况下,二进制搜索可能比渐进线性搜索更快。这些情况是由于我的渐进线性搜索的复杂度为O(2n 1 + n 2(仅O(n 1+ n 2(在更快的C / C ++版本中)(其中n 1是搜索到的数组,n 2是过滤器数组),而二进制搜索的复杂度为O(n 1 ceil(log 2 n 2))( ceil =向上舍入-到上限),最后,indexOf搜索在O(n 1O(n 1 n 2之间具有高度可变的复杂度,平均为O(n 1 ceil(n 2) ÷2))因此,在以下情况下,indexOf平均只会是最快的(n 1,n 2等于{1,2}{1,3}{x,1 |x∈N}但是,这仍然不是现代硬件的完美代表。在大多数现代浏览器中可以想象到的最大程度上对IndexOf进行了本机优化,使其非常受分支预测法则的约束因此,如果我们对indexOf的假设与渐进线性和二进制搜索相同(即数组已预先排序),则根据链接中列出的统计数据,我们可以预期IndexOf的速度大约提高6倍,将其复杂度转换为O(n 1 ÷6)O(n 1 n 2,平均得出O(n 1 ceil(n 2 7÷12))最后,请注意以下解决方案将永远无法与对象一起使用,因为JavaScript中的对象无法通过JavaScript中的指针进行比较。

function sortAnyArray(a,b) { return a>b ? 1 : (a===b ? 0 : -1); }
function sortIntArray(a,b) { return (a|0) - (b|0) |0; }
function fastFilter(array, handle) {
    var out=[], value=0;
    for (var i=0,  len=array.length|0; i < len; i=i+1|0)
        if (handle(value = array[i])) 
            out.push( value );
    return out;
}

const Math_clz32 = Math.clz32 || (function(log, LN2){
  return function(x) {
    return 31 - log(x >>> 0) / LN2 | 0; // the "| 0" acts like math.floor
  };
})(Math.log, Math.LN2);

/* USAGE:
  filterArrayByAnotherArray(
      [1,3,5],
      [2,3,4]
  ) yields [1, 5], and it can work with strings too
*/
function filterArrayByAnotherArray(searchArray, filterArray) {
    if (
        // NOTE: This does not check the whole array. But, if you know
        //        that there are only strings or numbers (not a mix of
        //        both) in the array, then this is a safe assumption.
        // Always use `==` with `typeof` because browsers can optimize
        //  the `==` into `===` (ONLY IN THIS CIRCUMSTANCE)
        typeof searchArray[0] == "number" &&
        typeof filterArray[0] == "number" &&
        (searchArray[0]|0) === searchArray[0] &&
        (filterArray[0]|0) === filterArray[0]
    ) {filterArray
        // if all entries in both arrays are integers
        searchArray.sort(sortIntArray);
        filterArray.sort(sortIntArray);
    } else {
        searchArray.sort(sortAnyArray);
        filterArray.sort(sortAnyArray);
    }
    var searchArrayLen = searchArray.length, filterArrayLen = filterArray.length;
    var progressiveLinearComplexity = ((searchArrayLen<<1) + filterArrayLen)>>>0
    var binarySearchComplexity= (searchArrayLen * (32-Math_clz32(filterArrayLen-1)))>>>0;
    // After computing the complexity, we can predict which algorithm will be the fastest
    var i = 0;
    if (progressiveLinearComplexity < binarySearchComplexity) {
        // Progressive Linear Search
        return fastFilter(searchArray, function(currentValue){
            while (filterArray[i] < currentValue) i=i+1|0;
            // +undefined = NaN, which is always false for <, avoiding an infinite loop
            return filterArray[i] !== currentValue;
        });
    } else {
        // Binary Search
        return fastFilter(
            searchArray,
            fastestBinarySearch(filterArray)
        );
    }
}

// see https://stackoverflow.com/a/44981570/5601591 for implementation
//  details about this binary search algorithm

function fastestBinarySearch(array){
  var initLen = (array.length|0) - 1 |0;
  
  const compGoto = Math_clz32(initLen) & 31;
  return function(sValue) {
    var len = initLen |0;
    switch (compGoto) {
      case 0:
        if (len & 0x80000000) {
          const nCB = len & 0x80000000;
          len ^= (len ^ (nCB-1)) & ((array[nCB] <= sValue |0) - 1 >>>0);
        }
      case 1:
        if (len & 0x40000000) {
          const nCB = len & 0xc0000000;
          len ^= (len ^ (nCB-1)) & ((array[nCB] <= sValue |0) - 1 >>>0);
        }
      case 2:
        if (len & 0x20000000) {
          const nCB = len & 0xe0000000;
          len ^= (len ^ (nCB-1)) & ((array[nCB] <= sValue |0) - 1 >>>0);
        }
      case 3:
        if (len & 0x10000000) {
          const nCB = len & 0xf0000000;
          len ^= (len ^ (nCB-1)) & ((array[nCB] <= sValue |0) - 1 >>>0);
        }
      case 4:
        if (len & 0x8000000) {
          const nCB = len & 0xf8000000;
          len ^= (len ^ (nCB-1)) & ((array[nCB] <= sValue |0) - 1 >>>0);
        }
      case 5:
        if (len & 0x4000000) {
          const nCB = len & 0xfc000000;
          len ^= (len ^ (nCB-1)) & ((array[nCB] <= sValue |0) - 1 >>>0);
        }
      case 6:
        if (len & 0x2000000) {
          const nCB = len & 0xfe000000;
          len ^= (len ^ (nCB-1)) & ((array[nCB] <= sValue |0) - 1 >>>0);
        }
      case 7:
        if (len & 0x1000000) {
          const nCB = len & 0xff000000;
          len ^= (len ^ (nCB-1)) & ((array[nCB] <= sValue |0) - 1 >>>0);
        }
      case 8:
        if (len & 0x800000) {
          const nCB = len & 0xff800000;
          len ^= (len ^ (nCB-1)) & ((array[nCB] <= sValue |0) - 1 >>>0);
        }
      case 9:
        if (len & 0x400000) {
          const nCB = len & 0xffc00000;
          len ^= (len ^ (nCB-1)) & ((array[nCB] <= sValue |0) - 1 >>>0);
        }
      case 10:
        if (len & 0x200000) {
          const nCB = len & 0xffe00000;
          len ^= (len ^ (nCB-1)) & ((array[nCB] <= sValue |0) - 1 >>>0);
        }
      case 11:
        if (len & 0x100000) {
          const nCB = len & 0xfff00000;
          len ^= (len ^ (nCB-1)) & ((array[nCB] <= sValue |0) - 1 >>>0);
        }
      case 12:
        if (len & 0x80000) {
          const nCB = len & 0xfff80000;
          len ^= (len ^ (nCB-1)) & ((array[nCB] <= sValue |0) - 1 >>>0);
        }
      case 13:
        if (len & 0x40000) {
          const nCB = len & 0xfffc0000;
          len ^= (len ^ (nCB-1)) & ((array[nCB] <= sValue |0) - 1 >>>0);
        }
      case 14:
        if (len & 0x20000) {
          const nCB = len & 0xfffe0000;
          len ^= (len ^ (nCB-1)) & ((array[nCB] <= sValue |0) - 1 >>>0);
        }
      case 15:
        if (len & 0x10000) {
          const nCB = len & 0xffff0000;
          len ^= (len ^ (nCB-1)) & ((array[nCB] <= sValue |0) - 1 >>>0);
        }
      case 16:
        if (len & 0x8000) {
          const nCB = len & 0xffff8000;
          len ^= (len ^ (nCB-1)) & ((array[nCB] <= sValue |0) - 1 >>>0);
        }
      case 17:
        if (len & 0x4000) {
          const nCB = len & 0xffffc000;
          len ^= (len ^ (nCB-1)) & ((array[nCB] <= sValue |0) - 1 >>>0);
        }
      case 18:
        if (len & 0x2000) {
          const nCB = len & 0xffffe000;
          len ^= (len ^ (nCB-1)) & ((array[nCB] <= sValue |0) - 1 >>>0);
        }
      case 19:
        if (len & 0x1000) {
          const nCB = len & 0xfffff000;
          len ^= (len ^ (nCB-1)) & ((array[nCB] <= sValue |0) - 1 >>>0);
        }
      case 20:
        if (len & 0x800) {
          const nCB = len & 0xfffff800;
          len ^= (len ^ (nCB-1)) & ((array[nCB] <= sValue |0) - 1 >>>0);
        }
      case 21:
        if (len & 0x400) {
          const nCB = len & 0xfffffc00;
          len ^= (len ^ (nCB-1)) & ((array[nCB] <= sValue |0) - 1 >>>0);
        }
      case 22:
        if (len & 0x200) {
          const nCB = len & 0xfffffe00;
          len ^= (len ^ (nCB-1)) & ((array[nCB] <= sValue |0) - 1 >>>0);
        }
      case 23:
        if (len & 0x100) {
          const nCB = len & 0xffffff00;
          len ^= (len ^ (nCB-1)) & ((array[nCB] <= sValue |0) - 1 >>>0);
        }
      case 24:
        if (len & 0x80) {
          const nCB = len & 0xffffff80;
          len ^= (len ^ (nCB-1)) & ((array[nCB] <= sValue |0) - 1 >>>0);
        }
      case 25:
        if (len & 0x40) {
          const nCB = len & 0xffffffc0;
          len ^= (len ^ (nCB-1)) & ((array[nCB] <= sValue |0) - 1 >>>0);
        }
      case 26:
        if (len & 0x20) {
          const nCB = len & 0xffffffe0;
          len ^= (len ^ (nCB-1)) & ((array[nCB] <= sValue |0) - 1 >>>0);
        }
      case 27:
        if (len & 0x10) {
          const nCB = len & 0xfffffff0;
          len ^= (len ^ (nCB-1)) & ((array[nCB] <= sValue |0) - 1 >>>0);
        }
      case 28:
        if (len & 0x8) {
          const nCB = len & 0xfffffff8;
          len ^= (len ^ (nCB-1)) & ((array[nCB] <= sValue |0) - 1 >>>0);
        }
      case 29:
        if (len & 0x4) {
          const nCB = len & 0xfffffffc;
          len ^= (len ^ (nCB-1)) & ((array[nCB] <= sValue |0) - 1 >>>0);
        }
      case 30:
        if (len & 0x2) {
          const nCB = len & 0xfffffffe;
          len ^= (len ^ (nCB-1)) & ((array[nCB] <= sValue |0) - 1 >>>0);
        }
      case 31:
        if (len & 0x1) {
          const nCB = len & 0xffffffff;
          len ^= (len ^ (nCB-1)) & ((array[nCB] <= sValue |0) - 1 >>>0);
        }
    }
    // MODIFICATION: Instead of returning the index, this binary search
    //                instead returns whether something was found or not.
    if (array[len|0] !== sValue) {
       return true; // preserve the value at this index
    } else {
       return false; // eliminate the value at this index
    }
  };
}

请参阅我的其他文章以了解有关所用二进制搜索算法的更多详细信息

如果您对文件大小有些担心(我尊重),那么您可能会牺牲一些性能,以便大大减小文件大小并增加可维护性。

function sortAnyArray(a,b) { return a>b ? 1 : (a===b ? 0 : -1); }
function sortIntArray(a,b) { return (a|0) - (b|0) |0; }
function fastFilter(array, handle) {
    var out=[], value=0;
    for (var i=0,  len=array.length|0; i < len; i=i+1|0)
        if (handle(value = array[i])) 
            out.push( value );
    return out;
}

/* USAGE:
  filterArrayByAnotherArray(
      [1,3,5],
      [2,3,4]
  ) yields [1, 5], and it can work with strings too
*/
function filterArrayByAnotherArray(searchArray, filterArray) {
    if (
        // NOTE: This does not check the whole array. But, if you know
        //        that there are only strings or numbers (not a mix of
        //        both) in the array, then this is a safe assumption.
        typeof searchArray[0] == "number" &&
        typeof filterArray[0] == "number" &&
        (searchArray[0]|0) === searchArray[0] &&
        (filterArray[0]|0) === filterArray[0]
    ) {
        // if all entries in both arrays are integers
        searchArray.sort(sortIntArray);
        filterArray.sort(sortIntArray);
    } else {
        searchArray.sort(sortAnyArray);
        filterArray.sort(sortAnyArray);
    }
    // Progressive Linear Search
    var i = 0;
    return fastFilter(searchArray, function(currentValue){
        while (filterArray[i] < currentValue) i=i+1|0;
        // +undefined = NaN, which is always false for <, avoiding an infinite loop
        return filterArray[i] !== currentValue;
    });
}

为了证明速度的差异,让我们研究一些JSPerfs。对于过滤由16个元素组成的数组,二进制搜索比indexOf快大约17%,而filterArrayByAnotherArray比indexOf快93%。对于过滤256个元素的数组,二进制搜索比indexOf快大约291%,而filterArrayByAnotherArray比indexOf快353%。对于过滤4096个元素的数组,二进制搜索比indexOf快大约2655%,而filterArrayByAnotherArray比indexOf快大约4627%。

反向滤波(与门类似)

上一节提供了获取数组A和数组B并删除A中存在于B中的所有元素的代码:

filterArrayByAnotherArray(
    [1,3,5],
    [2,3,4]
);
// yields [1, 5]

下一部分将提供用于反向过滤的代码,其中我们从A中删除了B中不存在的所有元素。此过程在功能上等同于仅保留A和B共同的元素,例如AND门:

reverseFilterArrayByAnotherArray(
    [1,3,5],
    [2,3,4]
);
// yields [3]

这是反向过滤的代码:

function sortAnyArray(a,b) { return a>b ? 1 : (a===b ? 0 : -1); }
function sortIntArray(a,b) { return (a|0) - (b|0) |0; }
function fastFilter(array, handle) {
    var out=[], value=0;
    for (var i=0,  len=array.length|0; i < len; i=i+1|0)
        if (handle(value = array[i])) 
            out.push( value );
    return out;
}

const Math_clz32 = Math.clz32 || (function(log, LN2){
  return function(x) {
    return 31 - log(x >>> 0) / LN2 | 0; // the "| 0" acts like math.floor
  };
})(Math.log, Math.LN2);

/* USAGE:
  reverseFilterArrayByAnotherArray(
      [1,3,5],
      [2,3,4]
  ) yields [3], and it can work with strings too
*/
function reverseFilterArrayByAnotherArray(searchArray, filterArray) {
    if (
        // NOTE: This does not check the whole array. But, if you know
        //        that there are only strings or numbers (not a mix of
        //        both) in the array, then this is a safe assumption.
        // Always use `==` with `typeof` because browsers can optimize
        //  the `==` into `===` (ONLY IN THIS CIRCUMSTANCE)
        typeof searchArray[0] == "number" &&
        typeof filterArray[0] == "number" &&
        (searchArray[0]|0) === searchArray[0] &&
        (filterArray[0]|0) === filterArray[0]
    ) {
        // if all entries in both arrays are integers
        searchArray.sort(sortIntArray);
        filterArray.sort(sortIntArray);
    } else {
        searchArray.sort(sortAnyArray);
        filterArray.sort(sortAnyArray);
    }
    var searchArrayLen = searchArray.length, filterArrayLen = filterArray.length;
    var progressiveLinearComplexity = ((searchArrayLen<<1) + filterArrayLen)>>>0
    var binarySearchComplexity= (searchArrayLen * (32-Math_clz32(filterArrayLen-1)))>>>0;
    // After computing the complexity, we can predict which algorithm will be the fastest
    var i = 0;
    if (progressiveLinearComplexity < binarySearchComplexity) {
        // Progressive Linear Search
        return fastFilter(searchArray, function(currentValue){
            while (filterArray[i] < currentValue) i=i+1|0;
            // +undefined = NaN, which is always false for <, avoiding an infinite loop
            // For reverse filterning, I changed !== to ===
            return filterArray[i] === currentValue;
        });
    } else {
        // Binary Search
        return fastFilter(
            searchArray,
            inverseFastestBinarySearch(filterArray)
        );
    }
}

// see https://stackoverflow.com/a/44981570/5601591 for implementation
//  details about this binary search algorithim

function inverseFastestBinarySearch(array){
  var initLen = (array.length|0) - 1 |0;
  
  const compGoto = Math_clz32(initLen) & 31;
  return function(sValue) {
    var len = initLen |0;
    switch (compGoto) {
      case 0:
        if (len & 0x80000000) {
          const nCB = len & 0x80000000;
          len ^= (len ^ (nCB-1)) & ((array[nCB] <= sValue |0) - 1 >>>0);
        }
      case 1:
        if (len & 0x40000000) {
          const nCB = len & 0xc0000000;
          len ^= (len ^ (nCB-1)) & ((array[nCB] <= sValue |0) - 1 >>>0);
        }
      case 2:
        if (len & 0x20000000) {
          const nCB = len & 0xe0000000;
          len ^= (len ^ (nCB-1)) & ((array[nCB] <= sValue |0) - 1 >>>0);
        }
      case 3:
        if (len & 0x10000000) {
          const nCB = len & 0xf0000000;
          len ^= (len ^ (nCB-1)) & ((array[nCB] <= sValue |0) - 1 >>>0);
        }
      case 4:
        if (len & 0x8000000) {
          const nCB = len & 0xf8000000;
          len ^= (len ^ (nCB-1)) & ((array[nCB] <= sValue |0) - 1 >>>0);
        }
      case 5:
        if (len & 0x4000000) {
          const nCB = len & 0xfc000000;
          len ^= (len ^ (nCB-1)) & ((array[nCB] <= sValue |0) - 1 >>>0);
        }
      case 6:
        if (len & 0x2000000) {
          const nCB = len & 0xfe000000;
          len ^= (len ^ (nCB-1)) & ((array[nCB] <= sValue |0) - 1 >>>0);
        }
      case 7:
        if (len & 0x1000000) {
          const nCB = len & 0xff000000;
          len ^= (len ^ (nCB-1)) & ((array[nCB] <= sValue |0) - 1 >>>0);
        }
      case 8:
        if (len & 0x800000) {
          const nCB = len & 0xff800000;
          len ^= (len ^ (nCB-1)) & ((array[nCB] <= sValue |0) - 1 >>>0);
        }
      case 9:
        if (len & 0x400000) {
          const nCB = len & 0xffc00000;
          len ^= (len ^ (nCB-1)) & ((array[nCB] <= sValue |0) - 1 >>>0);
        }
      case 10:
        if (len & 0x200000) {
          const nCB = len & 0xffe00000;
          len ^= (len ^ (nCB-1)) & ((array[nCB] <= sValue |0) - 1 >>>0);
        }
      case 11:
        if (len & 0x100000) {
          const nCB = len & 0xfff00000;
          len ^= (len ^ (nCB-1)) & ((array[nCB] <= sValue |0) - 1 >>>0);
        }
      case 12:
        if (len & 0x80000) {
          const nCB = len & 0xfff80000;
          len ^= (len ^ (nCB-1)) & ((array[nCB] <= sValue |0) - 1 >>>0);
        }
      case 13:
        if (len & 0x40000) {
          const nCB = len & 0xfffc0000;
          len ^= (len ^ (nCB-1)) & ((array[nCB] <= sValue |0) - 1 >>>0);
        }
      case 14:
        if (len & 0x20000) {
          const nCB = len & 0xfffe0000;
          len ^= (len ^ (nCB-1)) & ((array[nCB] <= sValue |0) - 1 >>>0);
        }
      case 15:
        if (len & 0x10000) {
          const nCB = len & 0xffff0000;
          len ^= (len ^ (nCB-1)) & ((array[nCB] <= sValue |0) - 1 >>>0);
        }
      case 16:
        if (len & 0x8000) {
          const nCB = len & 0xffff8000;
          len ^= (len ^ (nCB-1)) & ((array[nCB] <= sValue |0) - 1 >>>0);
        }
      case 17:
        if (len & 0x4000) {
          const nCB = len & 0xffffc000;
          len ^= (len ^ (nCB-1)) & ((array[nCB] <= sValue |0) - 1 >>>0);
        }
      case 18:
        if (len & 0x2000) {
          const nCB = len & 0xffffe000;
          len ^= (len ^ (nCB-1)) & ((array[nCB] <= sValue |0) - 1 >>>0);
        }
      case 19:
        if (len & 0x1000) {
          const nCB = len & 0xfffff000;
          len ^= (len ^ (nCB-1)) & ((array[nCB] <= sValue |0) - 1 >>>0);
        }
      case 20:
        if (len & 0x800) {
          const nCB = len & 0xfffff800;
          len ^= (len ^ (nCB-1)) & ((array[nCB] <= sValue |0) - 1 >>>0);
        }
      case 21:
        if (len & 0x400) {
          const nCB = len & 0xfffffc00;
          len ^= (len ^ (nCB-1)) & ((array[nCB] <= sValue |0) - 1 >>>0);
        }
      case 22:
        if (len & 0x200) {
          const nCB = len & 0xfffffe00;
          len ^= (len ^ (nCB-1)) & ((array[nCB] <= sValue |0) - 1 >>>0);
        }
      case 23:
        if (len & 0x100) {
          const nCB = len & 0xffffff00;
          len ^= (len ^ (nCB-1)) & ((array[nCB] <= sValue |0) - 1 >>>0);
        }
      case 24:
        if (len & 0x80) {
          const nCB = len & 0xffffff80;
          len ^= (len ^ (nCB-1)) & ((array[nCB] <= sValue |0) - 1 >>>0);
        }
      case 25:
        if (len & 0x40) {
          const nCB = len & 0xffffffc0;
          len ^= (len ^ (nCB-1)) & ((array[nCB] <= sValue |0) - 1 >>>0);
        }
      case 26:
        if (len & 0x20) {
          const nCB = len & 0xffffffe0;
          len ^= (len ^ (nCB-1)) & ((array[nCB] <= sValue |0) - 1 >>>0);
        }
      case 27:
        if (len & 0x10) {
          const nCB = len & 0xfffffff0;
          len ^= (len ^ (nCB-1)) & ((array[nCB] <= sValue |0) - 1 >>>0);
        }
      case 28:
        if (len & 0x8) {
          const nCB = len & 0xfffffff8;
          len ^= (len ^ (nCB-1)) & ((array[nCB] <= sValue |0) - 1 >>>0);
        }
      case 29:
        if (len & 0x4) {
          const nCB = len & 0xfffffffc;
          len ^= (len ^ (nCB-1)) & ((array[nCB] <= sValue |0) - 1 >>>0);
        }
      case 30:
        if (len & 0x2) {
          const nCB = len & 0xfffffffe;
          len ^= (len ^ (nCB-1)) & ((array[nCB] <= sValue |0) - 1 >>>0);
        }
      case 31:
        if (len & 0x1) {
          const nCB = len & 0xffffffff;
          len ^= (len ^ (nCB-1)) & ((array[nCB] <= sValue |0) - 1 >>>0);
        }
    }
    // MODIFICATION: Instead of returning the index, this binary search
    //                instead returns whether something was found or not.
    // For reverse filterning, I swapped true with false and vice-versa
    if (array[len|0] !== sValue) {
       return false; // preserve the value at this index
    } else {
       return true; // eliminate the value at this index
    }
  };
}

有关反向过滤代码的较慢的较小版本,请参见下文。

function sortAnyArray(a,b) { return a>b ? 1 : (a===b ? 0 : -1); }
function sortIntArray(a,b) { return (a|0) - (b|0) |0; }
function fastFilter(array, handle) {
    var out=[], value=0;
    for (var i=0,  len=array.length|0; i < len; i=i+1|0)
        if (handle(value = array[i])) 
            out.push( value );
    return out;
}

/* USAGE:
  reverseFilterArrayByAnotherArray(
      [1,3,5],
      [2,3,4]
  ) yields [3], and it can work with strings too
*/
function reverseFilterArrayByAnotherArray(searchArray, filterArray) {
    if (
        // NOTE: This does not check the whole array. But, if you know
        //        that there are only strings or numbers (not a mix of
        //        both) in the array, then this is a safe assumption.
        typeof searchArray[0] == "number" &&
        typeof filterArray[0] == "number" &&
        (searchArray[0]|0) === searchArray[0] &&
        (filterArray[0]|0) === filterArray[0]
    ) {
        // if all entries in both arrays are integers
        searchArray.sort(sortIntArray);
        filterArray.sort(sortIntArray);
    } else {
        searchArray.sort(sortAnyArray);
        filterArray.sort(sortAnyArray);
    }
    // Progressive Linear Search
    var i = 0;
    return fastFilter(searchArray, function(currentValue){
        while (filterArray[i] < currentValue) i=i+1|0;
        // +undefined = NaN, which is always false for <, avoiding an infinite loop
        // For reverse filter, I changed !== to ===
        return filterArray[i] === currentValue;
    });
}

OA也可以在ES6中实现,如下所示

ES6:

 const filtered = [1, 2, 3, 4].filter(e => {
    return this.indexOf(e) < 0;
  },[2, 4]);

如果需要比较对象数组,则在所有情况下都可以使用:

let arr = [{ id: 1, title: "title1" },{ id: 2, title: "title2" }]
let brr = [{ id: 2, title: "title2" },{ id: 3, title: "title3" }]

const res = arr.filter(f => brr.some(item => item.id === f.id));
console.log(res);

最好的filter功能描述https://developer.mozilla.org/pl/docs/Web/JavaScript/Referencje/Obiekty/Array/filter

您应该简单地调节函数:

function conditionFun(element, index, array) {
   return element >= 10;
}
filtered = [12, 5, 8, 130, 44].filter(conditionFun);

而且您无法在分配变量值之前访问它

您可以设置过滤器功能以遍历“过滤器阵列”。

var arr = [1, 2, 3 ,4 ,5, 6, 7];
var filter = [4, 5, 6];

var filtered = arr.filter(
  function(val) {
    for (var i = 0; i < filter.length; i++) {
      if (val == filter[i]) {
        return false;
      }
    }
    return true;
  }
); 

您可以使用过滤器,然后对过滤器函数使用过滤数组的精简形式,该数组将在找到匹配项时检查并返回true,然后在返回(!)时反转。过滤器函数对数组中的每个元素调用一次。您不对帖子中函数中的任何元素进行比较。

var a1 = [1, 2, 3, 4],
  a2 = [2, 3];

var filtered = a1.filter(function(x) {
  return !a2.reduce(function(y, z) {
    return x == y || x == z || y == true;
  })
});

document.write(filtered);
var arr1= [1,2,3,4];
var arr2=[2,4]

function fil(value){
return value !=arr2[0] &&  value != arr2[1]
}

document.getElementById("p").innerHTML= arr1.filter(fil)
<!DOCTYPE html> 
<html> 
<head> 
</head>
<body>
<p id="p"></p>
function arr(arr1,arr2){
  
  function filt(value){
    return arr2.indexOf(value) === -1;
    }
  
  return arr1.filter(filt)
  }

document.getElementById("p").innerHTML = arr([1,2,3,4],[2,4])
<p id="p"></p>

来自另一个包含对象属性的数组的更灵活的过滤数组

function filterFn(array, diffArray, prop, propDiff) {
    diffArray = !propDiff ? diffArray : diffArray.map(d => d[propDiff])
    this.fn = f => diffArray.indexOf(f) === -1
    if (prop) {
         return array.map(r => r[prop]).filter(this.fn)
    } else {
         return array.filter(this.fn)
    }
}

//You can use it like this;

var arr = [];

for (var i = 0; i < 10; i++) {
    var obj = {}
    obj.index = i
    obj.value = Math.pow(2, i)
    arr.push(obj)
}

var arr2 = [1, 2, 3, 4, 5]

var sec = [{t:2}, {t:99}, {t:256}, {t:4096}]

var log = console.log.bind(console)

var filtered = filterFn(arr, sec, 'value', 't')

var filtered2 = filterFn(arr2, sec, null, 't')

log(filtered, filtered2)

您可以编写一个通用的filterByIndex()函数,并在TS中使用类型推断来使用回调函数来节省麻烦:

假设您要使用[2,4]数组中指定的索引来过滤()数组[1,2,3,4]。

var filtered = [1,2,3,4,].filter(byIndex(element => element, [2,4]))

byIndex函数需要element函数和一个数组,如下所示:

byIndex = (getter: (e:number) => number, arr: number[]) => (x: number) => {
    var i = getter(x);
    return arr.indexOf(i); 
}

结果是

filtered = [1,3]

以下示例用于new Set()创建仅包含唯一元素的过滤数组:

具有原始数据类型的数组:字符串,数字,布尔值,null,未定义,符号:

const a = [1, 2, 3, 4];
const b = [3, 4, 5];
const c = Array.from(new Set(a.concat(b)));

以对象作为项目的数组:

const a = [{id:1}, {id: 2}, {id: 3}, {id: 4}];
const b = [{id: 3}, {id: 4}, {id: 5}];
const stringifyObject = o => JSON.stringify(o);
const parseString = s => JSON.parse(s);
const c = Array.from(new Set(a.concat(b).map(stringifyObject)), parseString);

下面是一个例子

let firstArray=[1,2,3,4,5];
let secondArray=[2,3];  
let filteredArray = firstArray.filter((a) => secondArray.indexOf(a)<0);
console.log(filteredArray); //above line gives [1,4,5]

Jack Giffin的解决方案很棒,但不适用于数字大于2 ^ 32的数组。以下是重构的快速版本,可根据Jack的解决方案过滤阵列,但适用于64位阵列。

const Math_clz32 = Math.clz32 || ((log, LN2) => x => 31 - log(x >>> 0) / LN2 | 0)(Math.log, Math.LN2);

const filterArrayByAnotherArray = (searchArray, filterArray) => {

    searchArray.sort((a,b) => a > b);
    filterArray.sort((a,b) => a > b);

    let searchArrayLen = searchArray.length, filterArrayLen = filterArray.length;
    let progressiveLinearComplexity = ((searchArrayLen<<1) + filterArrayLen)>>>0
    let binarySearchComplexity = (searchArrayLen * (32-Math_clz32(filterArrayLen-1)))>>>0;

    let i = 0;

    if (progressiveLinearComplexity < binarySearchComplexity) {
      return searchArray.filter(currentValue => {
        while (filterArray[i] < currentValue) i=i+1|0;
        return filterArray[i] !== currentValue;
      });
    }
    else return searchArray.filter(e => binarySearch(filterArray, e) === null);
}

const binarySearch = (sortedArray, elToFind) => {
  let lowIndex = 0;
  let highIndex = sortedArray.length - 1;
  while (lowIndex <= highIndex) {
    let midIndex = Math.floor((lowIndex + highIndex) / 2);
    if (sortedArray[midIndex] == elToFind) return midIndex; 
    else if (sortedArray[midIndex] < elToFind) lowIndex = midIndex + 1;
    else highIndex = midIndex - 1;
  } return null;
}
本文地址:http://javascript.askforanswer.com/ruheconglingyigeshuzudesuoyouyuansuzhongguolvyigeshuzu.html
文章标签: ,   ,  
版权声明:本文为原创文章,版权归 javascript 所有,欢迎分享本文,转载请保留出处!

文件下载

老薛主机终身7折优惠码boke112

上一篇:
下一篇:

评论已关闭!