下面是一个综合递归函数(最初基于@chickens的函数)，它将:

递归删除你告诉它的默认值=[undefined, null， "， NaN] 正确处理常规对象、数组和Date对象

const cleanEmpty = function(obj, defaults = [undefined, null, NaN, '']) {
  if (!defaults.length) return obj
  if (defaults.includes(obj)) return

  if (Array.isArray(obj))
    return obj
      .map(v => v && typeof v === 'object' ? cleanEmpty(v, defaults) : v)
      .filter(v => !defaults.includes(v))

  return Object.entries(obj).length 
    ? Object.entries(obj)
        .map(([k, v]) => ([k, v && typeof v === 'object' ? cleanEmpty(v, defaults) : v]))
        .reduce((a, [k, v]) => (defaults.includes(v) ? a : { ...a, [k]: v}), {}) 
    : obj
}

用法:

// based off the recursive cleanEmpty function by @chickens. // This one can also handle Date objects correctly // and has a defaults list for values you want stripped. const cleanEmpty = function(obj, defaults = [undefined, null, NaN, '']) { if (!defaults.length) return obj if (defaults.includes(obj)) return if (Array.isArray(obj)) return obj .map(v => v && typeof v === 'object' ? cleanEmpty(v, defaults) : v) .filter(v => !defaults.includes(v)) return Object.entries(obj).length ? Object.entries(obj) .map(([k, v]) => ([k, v && typeof v === 'object' ? cleanEmpty(v, defaults) : v])) .reduce((a, [k, v]) => (defaults.includes(v) ? a : { ...a, [k]: v}), {}) : obj } // testing console.log('testing: undefined \n', cleanEmpty(undefined)) console.log('testing: null \n',cleanEmpty(null)) console.log('testing: NaN \n',cleanEmpty(NaN)) console.log('testing: empty string \n',cleanEmpty('')) console.log('testing: empty array \n',cleanEmpty([])) console.log('testing: date object \n',cleanEmpty(new Date(1589339052 * 1000))) console.log('testing: nested empty arr \n',cleanEmpty({ 1: { 2 :null, 3: [] }})) console.log('testing: comprehensive obj \n', cleanEmpty({ a: 5, b: 0, c: undefined, d: { e: null, f: [{ a: undefined, b: new Date(), c: '' }] }, g: NaN, h: null })) console.log('testing: different defaults \n', cleanEmpty({ a: 5, b: 0, c: undefined, d: { e: null, f: [{ a: undefined, b: '', c: new Date() }] }, g: [0, 1, 2, 3, 4], h: '', }, [undefined, null]))

如果有人需要欧文(和埃里克)答案的递归版本，这里是:

/**
 * Delete all null (or undefined) properties from an object.
 * Set 'recurse' to true if you also want to delete properties in nested objects.
 */
function delete_null_properties(test, recurse) {
    for (var i in test) {
        if (test[i] === null) {
            delete test[i];
        } else if (recurse && typeof test[i] === 'object') {
            delete_null_properties(test[i], recurse);
        }
    }
}

如果你不想原地改变，而是返回一个删除了null/undefined的克隆，你可以使用ES6的reduce函数。

// Helper to remove undefined or null properties from an object
function removeEmpty(obj) {
  // Protect against null/undefined object passed in
  return Object.keys(obj || {}).reduce((x, k) => {
    // Check for null or undefined
    if (obj[k] != null) {
      x[k] = obj[k];
    }
    return x;
  }, {});
}

来piggypack本的回答如何解决这个问题使用lodash的_。pickBy，你也可以在姐妹库中解决这个问题:Underscore.js的_.pick。

var obj = {name: 'John', age: null};

var compacted = _.pick(obj, function(value) {
  return value !== null && value !== undefined;
});

参见:JSFiddle示例

删除所有带有null和undefined的属性

让obj = { “id”:1、 “firstName”:空, “姓”:空, “地址”:未定义的, “角色”:“客户”, “照片”:“fb79fd5d - 06 - c9 - 4097 - 8 fdc - 6 - cebf73fab26 / fc8efe82-2af4-4c81-bde7-8d2f9dd7994a.jpg”, “位置”:空, “idNumber”:空, }; let result = Object.entries(obj).reduce((a，[k,v]) => (v == null ?A: (A [k]=v, A))， {}); console.log(结果)

您可以使用json在一行中进行递归删除。Stringify的replacer参数

const removeEmptyValues = obj => (
  JSON.parse(JSON.stringify(obj, (k,v) => v ?? undefined))
)

用法:

removeEmptyValues({a:{x:1,y:null,z:undefined}}) // Returns {a:{x:1}}

正如Emmanuel的评论中提到的，只有当数据结构只包含可以放入JSON格式的数据类型(字符串、数字、列表等)时，这种技术才有效。

(此答案已更新为使用新的Nullish Coalescing运算符。根据浏览器的支持需要，你可能想要使用这个函数代替:(k,v) => v!=零?V:未定义)