另一种方式

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"} ]; function sortBy(ar) { return ar.sort((a, b) => a.city === b.city ? b.price.toString().localeCompare(a.price) : a.city.toString().localeCompare(b.city)); } console.log(sortBy(homes));

这是一个递归算法，按多个字段排序，同时有机会在比较之前格式化值。

var data = [
{
    "id": 1,
    "ship": null,
    "product": "Orange",
    "quantity": 7,
    "price": 92.08,
    "discount": 0
},
{
    "id": 2,
    "ship": "2017-06-14T23:00:00.000Z".toDate(),
    "product": "Apple",
    "quantity": 22,
    "price": 184.16,
    "discount": 0
},
...
]
var sorts = ["product", "quantity", "ship"]

// comp_val formats values and protects against comparing nulls/undefines
// type() just returns the variable constructor
// String.lower just converts the string to lowercase.
// String.toDate custom fn to convert strings to Date
function comp_val(value){
    if (value==null || value==undefined) return null
    var cls = type(value)
    switch (cls){
        case String:
            return value.lower()
    }
    return value
}

function compare(a, b, i){
    i = i || 0
    var prop = sorts[i]
    var va = comp_val(a[prop])
    var vb = comp_val(b[prop])

    // handle what to do when both or any values are null
    if (va == null || vb == null) return true

    if ((i < sorts.length-1) && (va == vb)) {
        return compare(a, b, i+1)
    } 
    return va > vb
}

var d = data.sort(compare);
console.log(d);

如果a和b相等，它将尝试下一个字段，直到没有可用字段。

改编自@chriskelly的回答。

大多数答案都忽略了，如果价值在1万美元以下或超过100万美元，价格将无法正确排序。原因是JS按字母顺序排序。这里回答得很好，为什么JavaScript不能对“5,10,1”排序，这里如何正确地对整数数组排序。

最后，如果我们要排序的字段或节点是一个数字，我们必须做一些计算。我并不是说在这种情况下使用parseInt()是正确的答案，排序结果更重要。

var homes = [{ "h_id": "2", "city": "Dallas", "state": "TX", "zip": "75201", "price": "62500" }, { "h_id": "1", "city": "Dallas", "state": "TX", "zip": "75201", "price": "62510" }, { "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(fieldSorter(['price'])); // homes.sort(fieldSorter(['zip', '-state', 'price'])); // alternative function fieldSorter(fields) { return function(a, b) { return fields .map(function(o) { var dir = 1; if (o[0] === '-') { dir = -1; o = o.substring(1); } if (!parseInt(a[o]) && !parseInt(b[o])) { if (a[o] > b[o]) return dir; if (a[o] < b[o]) return -(dir); return 0; } else { return dir > 0 ? a[o] - b[o] : b[o] - a[o]; } }) .reduce(function firstNonZeroValue(p, n) { return p ? p : n; }, 0); }; } document.getElementById("output").innerHTML = '<pre>' + JSON.stringify(homes, null, '\t') + '</pre>'; <div id="output"> </div>

用来测试的小提琴

您可以使用lodash或derby函数lodash

它有两个参数字段数组和方向数组('asc'，'desc')

  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"}
    ];

var sorted =. data._.orderBy(data, ['city', 'price'], ['asc','desc'])

对于你的具体问题，一个非通用的，简单的解决方案:

homes.sort(
   function(a, b) {          
      if (a.city === b.city) {
         // Price is only important when cities are the same
         return b.price - a.price;
      }
      return a.city > b.city ? 1 : -1;
   });

为了简化操作，可以使用这些辅助函数。

您可以根据需要对任意多个字段进行排序。对于每个排序字段，指定属性名，然后可选地指定-1作为排序方向，以降序排序而不是升序排序。

const 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"}, {"h_id":"7","city":"New York","state":"NY","zip":"00010","price":"800500"} ] const sortLexically = (p,d=1)=>(a,b)=>d * a[p].localeCompare(b[p]) const sortNumerically = (p,d=1)=>(a,b)=>d * (a[p]-b[p]) const sortBy = sorts=>(a,b)=>sorts.reduce((r,s)=>r||s(a,b),0) // sort first by city, then by price descending data.sort(sortBy([sortLexically('city'), sortNumerically('price', -1)])) console.log(data)