从这个最初的问题,我将如何在多个字段应用排序?
使用这种稍作调整的结构,我将如何排序城市(上升)和价格(下降)?
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"}
];
我喜欢的事实是,给出的答案提供了一个一般的方法。在我计划使用这段代码的地方,我将不得不对日期以及其他东西进行排序。“启动”对象的能力似乎很方便,如果不是有点麻烦的话。
我试图把这个答案构建成一个很好的通用示例,但我运气不太好。
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)
我一直在寻找类似的东西,最后得到了这个:
首先,我们有一个或多个排序函数,总是返回0、1或-1:
const sortByTitle = (a, b): number =>
a.title === b.title ? 0 : a.title > b.title ? 1 : -1;
您可以为想要排序的其他属性创建更多函数。
然后我有一个函数将这些排序函数合并为一个:
const createSorter = (...sorters) => (a, b) =>
sorters.reduce(
(d, fn) => (d === 0 ? fn(a, b) : d),
0
);
这可以用来以一种可读的方式组合上述排序函数:
const sorter = createSorter(sortByTitle, sortByYear)
items.sort(sorter)
当一个排序函数返回0时,将调用下一个排序函数进行进一步排序。
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。