这是一个完全的欺骗，但我认为它为这个问题增加了价值，因为它基本上是一个罐装的库函数，你可以开箱即用。

如果你的代码可以访问lodash或者一个与lodash兼容的库，比如下划线，那么你可以使用_。sortBy方法。下面的代码片段直接复制自lodash文档。

示例中的注释结果看起来像是返回数组的数组，但这只是显示了顺序，而不是实际的结果，它是一个对象数组。

var users = [
  { 'user': 'fred',   'age': 48 },
  { 'user': 'barney', 'age': 36 },
  { 'user': 'fred',   'age': 40 },
  { 'user': 'barney', 'age': 34 }
];

_.sortBy(users, [function(o) { return o.user; }]);
 // => objects for [['barney', 36], ['barney', 34], ['fred', 48], ['fred', 40]]

_.sortBy(users, ['user', 'age']);
// => objects for [['barney', 34], ['barney', 36], ['fred', 40], ['fred', 48]]

您可以使用链式排序方法，取值的增量，直到它达到不等于零的值。

var data = [{ h_id: "3", city: "Dallas", state: "TX", zip: "75201", price: "162500" }, { h_id: "4", city: "Bevery Hills", state: "CA", zip: "90210", price: "319250" }, { h_id: "6", city: "Dallas", state: "TX", zip: "75000", price: "556699" }, { h_id: "5", city: "New York", state: "NY", zip: "00010", price: "962500" }]; data.sort(function (a, b) { return a.city.localeCompare(b.city) || b.price - a.price; }); console.log(data); .as-console-wrapper { max-height: 100% !important; top: 0; }

或者，使用es6，简单地:

data.sort((a, b) => a.city.localeCompare(b.city) || b.price - a.price);

在这里，您可以尝试按多个字段进行排序的更小且方便的方法!

var homes = [ { "h_id": "3", "city": "Dallas", "state": "TX", "zip": "75201", "price": "162500" }, { "h_id": "4", "city": "Bevery Hills", "state": "CA", "zip": "90210", "price": "319250" }, { "h_id": "6", "city": "Dallas", "state": "TX", "zip": "75000", "price": "556699" }, { "h_id": "5", "city": "New York", "state": "NY", "zip": "00010", "price": "962500" } ]; homes.sort((a, b)=> { if (a.city === b.city){ return a.price < b.price ? -1 : 1 } else { return a.city < b.city ? -1 : 1 } }) console.log(homes);

下面这个简单的解决方案怎么样:

const sortCompareByCityPrice = (a, b) => {
    let comparison = 0
    // sort by first criteria
    if (a.city > b.city) {
        comparison = 1
    }
    else if (a.city < b.city) {
        comparison = -1
    }
    // If still 0 then sort by second criteria descending
    if (comparison === 0) {
        if (parseInt(a.price) > parseInt(b.price)) {
            comparison = -1
        }
        else if (parseInt(a.price) < parseInt(b.price)) {
            comparison = 1
        }
    }
    return comparison 
}

基于这个问题javascript排序数组的多个(数字)字段

下面是我基于施瓦兹变换的解决方案，希望你觉得有用。

function sortByAttribute(array, ...attrs) {
  // generate an array of predicate-objects contains
  // property getter, and descending indicator
  let predicates = attrs.map(pred => {
    let descending = pred.charAt(0) === '-' ? -1 : 1;
    pred = pred.replace(/^-/, '');
    return {
      getter: o => o[pred],
      descend: descending
    };
  });
  // schwartzian transform idiom implementation. aka: "decorate-sort-undecorate"
  return array.map(item => {
    return {
      src: item,
      compareValues: predicates.map(predicate => predicate.getter(item))
    };
  })
  .sort((o1, o2) => {
    let i = -1, result = 0;
    while (++i < predicates.length) {
      if (o1.compareValues[i] < o2.compareValues[i]) result = -1;
      if (o1.compareValues[i] > o2.compareValues[i]) result = 1;
      if (result *= predicates[i].descend) break;
    }
    return result;
  })
  .map(item => item.src);
}

下面是一个如何使用它的例子:

let games = [
  { name: 'Pako',              rating: 4.21 },
  { name: 'Hill Climb Racing', rating: 3.88 },
  { name: 'Angry Birds Space', rating: 3.88 },
  { name: 'Badland',           rating: 4.33 }
];

// sort by one attribute
console.log(sortByAttribute(games, 'name'));
// sort by mupltiple attributes
console.log(sortByAttribute(games, '-rating', 'name'));

按多个字段排序对象数组的最简单方法:

 let homes = [ {"h_id":"3",
   "city":"Dallas",
   "state":"TX",
   "zip":"75201",
   "price":"162500"},
  {"h_id":"4",
   "city":"Bevery Hills",
   "state":"CA",
   "zip":"90210",
   "price":"319250"},
  {"h_id":"6",
   "city":"Dallas",
   "state":"TX",
   "zip":"75000",
   "price":"556699"},
  {"h_id":"5",
   "city":"New York",
   "state":"NY",
   "zip":"00010",
   "price":"962500"}
  ];

homes.sort((a, b) => (a.city > b.city) ? 1 : -1);

输出: “Bevery山” “达拉斯” “达拉斯” “达拉斯” “纽约”