我使用代码形式“我正在寻找做到这一点的最佳方法。我有小组:数据
[
{
"date": "16/04/2020",
"count": 0,
"name": "A"
},
{
"date": "16/04/2020",
"count": 1,
"name": "B"
},
{
"date": "17/04/2020",
"count": 0,
"name": "B"
}
//...More.....
]
{
"date": "04/2020",
"symtom": {
"data": [
{
"date": "16/04/2020",
"data": [
{
"name": "A",
"count": [
{
"date": "16/04/2020",
"count": 0,
"name": "A"
}
]
},
{
"name": "B",
"count": [
{
"date": "16/04/2020",
"count": 1,
"name": "B"
}
]
},
//...More.....
]
},
{
"date": "17/04/2020",
"data": [
{
"name": "B",
"count": [
{
"date": "17/04/2020",
"count": 0,
"name": "B"
}
]
},
//...More.....
]
}
]
}
}
我可以修复代码并获得所需的答案吗?代码:
const items = [
{
tab: 'Results',
section: '2017',
title: 'Full year Results',
description: 'Something here',
},
{
tab: 'Results',
section: '2017',
title: 'Half year Results',
description: 'Something here',
},
{
tab: 'Reports',
section: 'Marketing',
title: 'First Report',
description: 'Something here',
}
];
function groupAndMap(items, itemKey, childKey, predic){
return _.map(_.groupBy(items,itemKey), (obj,key) => ({
[itemKey]: key,
[childKey]: (predic && predic(obj)) || obj
}));
}
var result = groupAndMap(items,"tab","sections",
arr => groupAndMap(arr,"section", "items"));
console.log(result);
<script src="https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.4/lodash.min.js"></script>
ref:Group array of object nesting some of the keys with specific names但是我想得到这个答案(答案):
{
"date": "04/2020",
"symtom": {
"data": [
{
"date": "16/04/2020",
"data": [
{
"name": "A",
"count": 0,
},
{
"name": "B",
"count": 1,
},
//...More.....
]
},
{
"date": "17/04/2020",
"data": [
{
"name": "B",
"count":0,
},
//...More.....
]
}
]
}
}
我是一个初学者,但看起来您希望system.data.data =带有键名称:str和count:number的对象数组,但是您将整个对象应用于count,所以键count:{name :A,count:0,date:etc}。
我真的不能遵循您的功能来分离数据...但是您要做的就是在将计数发送给对象以进行引用时,只需要像object.count这样的点表示法来访问数字与对象方式,您将拥有所需的影响。希望这就是您要问的。
我将使用一个辅助函数groupBy
(此版本以Ramda中的API建模[免责声明:我是其作者之一],但足够短,只需在此处包括即可。)此函数需要一个将一个对象映射到一个键值,然后将您的元素分组为一个对象,这些键指向原始元素的数组。
我们需要使用两次,一次按月分组,然后在结果内部按日分组。 transform
函数的其余部分只是按照我认为的方式格式化输出。
const groupBy = (fn) => (xs) =>
xs .reduce((a, x) => ({... a, [fn(x)]: [... (a [fn (x)] || []), x]}), {})
const transform = (data) =>
Object .entries (groupBy (({date}) => date.slice(3)) (data)) // group by month
.map (([date, data]) => ({
date,
symtom: {
data: Object .entries (groupBy (({date}) => date) (data)) // group by day
.map (([date, data]) => ({
date,
data: data .map (({date, ...rest}) => ({...rest})) // remove date property
}))
}
}))
const data = [{date: "16/04/2020", count: 0, name: "A"}, {date: "16/04/2020", count: 1, name: "B"}, {date: "17/04/2020", count: 0, name: "B"}, {date: "03/05/2020", count: 0, name: "C"}];
console .log (
transform (data)
)
.as-console-wrapper {min-height: 100% !important; top: 0}
如果需要在environment without Object.entries
中运行,则很容易进行匀场。
您可以为每个嵌套组使用一个函数,并减少数组和分组级别。
Object.entries
var data = [{ date: "16/04/2020", count: 0, name: "A" }, { date: "16/04/2020", count: 1, name: "B" }, { date: "17/04/2020", count: 0, name: "B" }],
groups = [
(o, p) => {
var date = o.date.slice(3),
temp = p.find(q => q.date === date);
if (!temp) p.push(temp = { date, symptom: { data: [] } });
return temp.symptom.data;
},
({ date }, p) => {
var temp = p.find(q => q.date === date);
if (!temp) p.push(temp = { date, data: [] });
return temp.data;
},
({ date, ...o }, p) => p.push(o)
],
result = data.reduce((r, o) => {
groups.reduce((p, fn) => fn(o, p), r);
return r;
}, []);
console.log(result);