我有一个
阵列var c = [{name: 'John'}, {name: 'John'}, {name: 'Tom'}];
我想使用reduce方法和map来获得以下结果:
result = [
{ name: "John", occurence: 2 },
{ name: "Tom", occurence: 1 }
]
这是我尝试但未完全获得它的尝试。 https://jsfiddle.net/joeSaad/up3ddfzz/
c = [{
name: 'John'
}, {
name: 'John'
}, {
name: 'Simon'
}];
var d = c.reduce((countMap, word) => {
countMap[word.name] = ++countMap[word.name] || 1;
return countMap
}, []);
var e = c.reduce((countMap, word) => {
q = [];
countMap[word.name] = ++countMap[word.name] || 1;
var p = {
name: word.name,
occurence: countMap[word.name]
}
q.push(p);
return q
}, []);
console.log(e);

非常感谢。提前致谢
答案 0 :(得分:3)
你肯定在使用reduce的正确轨道上,但我会将计算分成两个不同的步骤
let c = [{name: 'John'}, {name: 'John'}, {name: 'Tom'}];
const pairs = o=> Object.keys(o).map(k=> [k, o[k]])
let count = c.reduce((acc, {name}) => {
if (acc[name] === undefined)
return Object.assign(acc, { [name]: 1 })
else
return Object.assign(acc, { [name]: acc[name] + 1 })
}, {})
var result = pairs(count).map(([name, occurences]) => ({name, occurences}))
console.log(result)
//=> [ { name: 'John', occurences: 2 }, { name: 'Tom', occurences: 1 } ]
您可以将这些行为抽象为不同的函数,例如
// convert an object to [[key,value]] pairs
const pairs = o=> Object.keys(o).map(k=> [k, o[k]])
// count unique instances of a property value in an array of objects
const countBy = (prop, xs)=> {
return xs.reduce((acc, x)=> {
let y = x[prop]
if (acc[y] === undefined)
return Object.assign(acc, { [y]: 1 })
else
return Object.assign(acc, { [y]: acc[y] + 1 })
}, {})
}
// your data
let c = [{name: 'John'}, {name: 'John'}, {name: 'Tom'}]
// then chain it all together
let result = pairs(countBy('name', c)).map(([name, occurences]) => ({name, occurences}))
console.log(result)
//=> [ { name: 'John', occurences: 2 }, { name: 'Tom', occurences: 1 } ]
ES6还提供Map
,这对于进行这种计算非常有用。
这段代码对我来说读起来更好一些,并且在语义上更正确一些。我们之前的代码完全相同,只是使用了普通对象。 Map
是专为此key->value
数据设计的数据结构,因此可以使Map成为更好的选择。
唯一的问题是,如果你的代码库还没有以某种方式使用地图,那么为此引入它可能是错误的举动。
// convert a Map to an array of pairs
const mpairs = m=> [...m.entries()]
// countBy this time uses Map
const countBy = (prop, xs)=> {
return xs.reduce((m, x)=> {
let y = x[prop]
if (m.has(y))
return m.set(y, m.get(y) + 1)
else
return m.set(y, 1)
}, new Map)
}
// your data
let c = [{name: 'John'}, {name: 'John'}, {name: 'Tom'}]
// then chain it all together
let result = mpairs(countBy('name', c)).map(([name, occurences]) => ({name, occurences}))
console.log(result)
//=> [ { name: 'John', occurences: 2 }, { name: 'Tom', occurences: 1 } ]