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)
这是一个通用的多维排序,允许在每个层次上进行反转和/或映射。
用Typescript编写。对于Javascript,请查看这个JSFiddle
的代码
type itemMap = (n: any) => any;
interface SortConfig<T> {
key: keyof T;
reverse?: boolean;
map?: itemMap;
}
export function byObjectValues<T extends object>(keys: ((keyof T) | SortConfig<T>)[]): (a: T, b: T) => 0 | 1 | -1 {
return function(a: T, b: T) {
const firstKey: keyof T | SortConfig<T> = keys[0];
const isSimple = typeof firstKey === 'string';
const key: keyof T = isSimple ? (firstKey as keyof T) : (firstKey as SortConfig<T>).key;
const reverse: boolean = isSimple ? false : !!(firstKey as SortConfig<T>).reverse;
const map: itemMap | null = isSimple ? null : (firstKey as SortConfig<T>).map || null;
const valA = map ? map(a[key]) : a[key];
const valB = map ? map(b[key]) : b[key];
if (valA === valB) {
if (keys.length === 1) {
return 0;
}
return byObjectValues<T>(keys.slice(1))(a, b);
}
if (reverse) {
return valA > valB ? -1 : 1;
}
return valA > valB ? 1 : -1;
};
}
用法示例
先按姓排序,再按名排序:
interface Person {
firstName: string;
lastName: string;
}
people.sort(byObjectValues<Person>(['lastName','firstName']));
按语言代码的名称排序,而不是按语言代码排序(见地图),然后按降序排序(见反向)。
interface Language {
code: string;
version: number;
}
// languageCodeToName(code) is defined elsewhere in code
languageCodes.sort(byObjectValues<Language>([
{
key: 'code',
map(code:string) => languageCodeToName(code),
},
{
key: 'version',
reverse: true,
}
]));
function sort(data, orderBy) {
orderBy = Array.isArray(orderBy) ? orderBy : [orderBy];
return data.sort((a, b) => {
for (let i = 0, size = orderBy.length; i < size; i++) {
const key = Object.keys(orderBy[i])[0],
o = orderBy[i][key],
valueA = a[key],
valueB = b[key];
if (!(valueA || valueB)) {
console.error("the objects from the data passed does not have the key '" + key + "' passed on sort!");
return [];
}
if (+valueA === +valueA) {
return o.toLowerCase() === 'desc' ? valueB - valueA : valueA - valueB;
} else {
if (valueA.localeCompare(valueB) > 0) {
return o.toLowerCase() === 'desc' ? -1 : 1;
} else if (valueA.localeCompare(valueB) < 0) {
return o.toLowerCase() === 'desc' ? 1 : -1;
}
}
}
});
}
使用:
sort(homes, [{city : 'asc'}, {price: '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"}
];
function sort(data, orderBy) {
orderBy = Array.isArray(orderBy) ? orderBy : [orderBy];
return data.sort((a, b) => {
for (let i = 0, size = orderBy.length; i < size; i++) {
const key = Object.keys(orderBy[i])[0],
o = orderBy[i][key],
valueA = a[key],
valueB = b[key];
if (!(valueA || valueB)) {
console.error("the objects from the data passed does not have the key '" + key + "' passed on sort!");
return [];
}
if (+valueA === +valueA) {
return o.toLowerCase() === 'desc' ? valueB - valueA : valueA - valueB;
} else {
if (valueA.localeCompare(valueB) > 0) {
return o.toLowerCase() === 'desc' ? -1 : 1;
} else if (valueA.localeCompare(valueB) < 0) {
return o.toLowerCase() === 'desc' ? 1 : -1;
}
}
}
});
}
console.log(sort(homes, [{city : 'asc'}, {price: 'desc'}]));
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'])