按数组中的对象分组最有效的方法是什么?

例如,给定此对象数组:

[ 
    { Phase: "Phase 1", Step: "Step 1", Task: "Task 1", Value: "5" },
    { Phase: "Phase 1", Step: "Step 1", Task: "Task 2", Value: "10" },
    { Phase: "Phase 1", Step: "Step 2", Task: "Task 1", Value: "15" },
    { Phase: "Phase 1", Step: "Step 2", Task: "Task 2", Value: "20" },
    { Phase: "Phase 2", Step: "Step 1", Task: "Task 1", Value: "25" },
    { Phase: "Phase 2", Step: "Step 1", Task: "Task 2", Value: "30" },
    { Phase: "Phase 2", Step: "Step 2", Task: "Task 1", Value: "35" },
    { Phase: "Phase 2", Step: "Step 2", Task: "Task 2", Value: "40" }
]

我正在表格中显示这些信息。我想通过不同的方法进行分组,但我想对值求和。

我将Undercore.js用于其groupby函数,这很有用,但并不能完成全部任务,因为我不希望它们“拆分”,而是“合并”,更像SQL groupby方法。

我要找的是能够合计特定值(如果需要)。

因此,如果我按阶段分组,我希望收到:

[
    { Phase: "Phase 1", Value: 50 },
    { Phase: "Phase 2", Value: 130 }
]

如果我组了阶段/步骤,我会收到:

[
    { Phase: "Phase 1", Step: "Step 1", Value: 15 },
    { Phase: "Phase 1", Step: "Step 2", Value: 35 },
    { Phase: "Phase 2", Step: "Step 1", Value: 55 },
    { Phase: "Phase 2", Step: "Step 2", Value: 75 }
]

是否有一个有用的脚本,或者我应该坚持使用Undercore.js,然后遍历生成的对象,自己计算总数?


当前回答

使用ES6:

const groupBy = (items, key) => items.reduce(
  (result, item) => ({
    ...result,
    [item[key]]: [
      ...(result[item[key]] || []),
      item,
    ],
  }), 
  {},
);

其他回答

使用ES6:

const groupBy = (items, key) => items.reduce(
  (result, item) => ({
    ...result,
    [item[key]]: [
      ...(result[item[key]] || []),
      item,
    ],
  }), 
  {},
);

ES6基于reduce的版本,支持iteratee函数。

如果未提供iteratee函数,则工作正常:

const data=〔{id:1,得分:2},{id:1,得分:3},{id:2,得分:2},{id:2,得分:4}〕常量组=(arr,k)=>arr.reduce((r,c)=>(r[c[k]]=[…r[c[k]]||[],c],r),{});常量组By=(arr,k,fn=()=>真)=>arr.reduce((r,c)=>(fn(c[k])?r[c[k]]=[…r[c[k]]| |[],c]:null,r),{});console.log(group(data,'id'))//通过`reduce分组`console.log(groupBy(data,'id'))//如果省略了“fn”,则结果相同console.log(groupBy(data,'score',x=>x>2))//使用iteratee分组

关于OP问题:

const data=〔{阶段:“阶段1”,步骤:“步骤1”,任务:“任务1”,值:“5”},{阶段“阶段1“,步骤:”步骤1“,任务:”任务2“,值:”10“},{阶段:”阶段1“、步骤:”阶段2“,任务1“,值“15”}、{阶段”阶段1”、步骤:“阶段2”、任务:”“任务2”、值:”20“}、{阶段“2”,步骤“步骤:”“步骤1“、任务:“1”、值“25”},{阶段:“阶段2”,步骤:“步骤1”,任务:“任务2”,值:“30”},{阶段:“阶段2”,步骤:“步骤2”,任务:“任务1”,值:”35“},{阶段:”阶段2“,步骤:”步骤2“,任务:”任务2“,值::”40“}]常量组By=(arr,k)=>arr.reduce((r,c)=>(r[c[k]]=[…r[c[k]]||[],c],r),{});常量组With=(arr,k,fn=()=>真)=>arr.reduce((r,c)=>(fn(c[k])?r[c[k]]=[…r[c[k]]| |[],c]:null,r),{});console.log(groupBy(数据,'Phase'))console.log(groupWith(data,'Value',x=>x>30))//按`Value`>30分组

另一个ES6版本,它反转分组,将值用作键,将键用作分组值:

常量数据=[{A:“1”},{B:“10”}、{C:“10”}]常量组键=arr=>arr.reduce((r,c)=>(Object.keys(c).map(x=>r[c[x]]=[…r[c[x]]||[],x]),r),{});console.log(groupKeys(数据))

注意:函数以简短的形式(一行)发布,目的是为了简洁,并仅表达想法。您可以展开它们并添加其他错误检查等。

let groupbyKeys = function(arr, ...keys) {
  let keysFieldName = keys.join();
  return arr.map(ele => {
    let keysField = {};
    keysField[keysFieldName] = keys.reduce((keyValue, key) => {
      return keyValue + ele[key]
    }, "");
    return Object.assign({}, ele, keysField);
  }).reduce((groups, ele) => {
    (groups[ele[keysFieldName]] = groups[ele[keysFieldName]] || [])
      .push([ele].map(e => {
        if (keys.length > 1) {
          delete e[keysFieldName];
        }
        return e;
    })[0]);
    return groups;
  }, {});
};

console.log(groupbyKeys(array, 'Phase'));
console.log(groupbyKeys(array, 'Phase', 'Step'));
console.log(groupbyKeys(array, 'Phase', 'Step', 'Task'));

基于以前的答案

const groupBy = (prop) => (xs) =>
  xs.reduce((rv, x) =>
    Object.assign(rv, {[x[prop]]: [...(rv[x[prop]] || []), x]}), {});

如果您的环境支持,使用对象扩展语法会更好一些。

const groupBy = (prop) => (xs) =>
  xs.reduce((acc, x) => ({
    ...acc,
    [ x[ prop ] ]: [...( acc[ x[ prop ] ] || []), x],
  }), {});

在这里,我们的reducer接受部分形成的返回值(从一个空对象开始),并返回一个由上一个返回值的展开成员组成的对象,以及一个新成员,该成员的键是从prop处的当前iteree值计算的,其值是该prop的所有值以及当前值的列表。

我会检查声明性js groupBy,它似乎正符合您的要求。它也是:

非常有性能(性能基准)用打字机书写,所以所有打字都包括在内。不强制使用第三方类似数组的对象。

import { Reducers } from 'declarative-js';
import groupBy = Reducers.groupBy;
import Map = Reducers.Map;

const data = [
    { Phase: "Phase 1", Step: "Step 1", Task: "Task 1", Value: "5" },
    { Phase: "Phase 1", Step: "Step 1", Task: "Task 2", Value: "10" },
    { Phase: "Phase 1", Step: "Step 2", Task: "Task 1", Value: "15" },
    { Phase: "Phase 1", Step: "Step 2", Task: "Task 2", Value: "20" },
    { Phase: "Phase 2", Step: "Step 1", Task: "Task 1", Value: "25" },
    { Phase: "Phase 2", Step: "Step 1", Task: "Task 2", Value: "30" },
    { Phase: "Phase 2", Step: "Step 2", Task: "Task 1", Value: "35" },
    { Phase: "Phase 2", Step: "Step 2", Task: "Task 2", Value: "40" }
];

data.reduce(groupBy(element=> element.Step), Map());
data.reduce(groupBy('Step'), Map());