按 'sector' 关键字对嵌套对象数组进行分组 - Javascript
Group an array of nested objects by 'sector' keyword - Javascript
我有一个对象，它的值是一个对象数组。我想遍历对象并按扇区对其进行分类。这是我的数据。
{
"Word 1":[
{
"name":"Walmart",
"id":"Walmart",
"no":1,
"sector":"Retailing",
"url":"https://www.walmart.com",
"data":[
{
"year":2017,
"totalCount":0
},
{
"year":2018,
"totalCount":2
},
{
"year":2019,
"totalCount":1
},
{
"year":2020,
"totalCount":1
},
{
"year":2021,
"totalCount":0
}
]
},
{
"name":"Amazon",
"id":"amazon",
"no":2,
"sector":"Retailing",
"url":"https://www.amazon.com/",
"data":[
{
"year":2017,
"totalCount":0
},
{
"year":2018,
"totalCount":0
},
{
"year":2019,
"totalCount":0
},
{
"year":2020,
"totalCount":5
},
{
"year":2021,
"totalCount":0
}
]
},
{
"name":"Apple",
"id":"Apple",
"no":3,
"sector":"Technology",
"url":"https://www.apple.com",
"data":[
{
"year":2017,
"totalCount":0
},
{
"year":2018,
"totalCount":0
},
{
"year":2019,
"totalCount":0
},
{
"year":2020,
"totalCount":0
},
{
"year":2021,
"totalCount":0
}
]
},
{
"name":"CVS Health",
"id":"CVSHealth",
"no":4,
"sector":"Health Care",
"url":"https://www.cvshealth.com",
"data":[
{
"year":2017,
"totalCount":0
},
{
"year":2018,
"totalCount":0
},
{
"year":2019,
"totalCount":1
},
{
"year":2020,
"totalCount":0
},
{
"year":2021,
"totalCount":0
}
]
}
],
"Word 2":[
{
"name":"Walmart",
"id":"Walmart",
"no":1,
"sector":"Retailing",
"url":"https://www.walmart.com",
"data":[
{
"year":2017,
"totalCount":0
},
{
"year":2018,
"totalCount":0
},
{
"year":2019,
"totalCount":0
},
{
"year":2020,
"totalCount":1
},
{
"year":2021,
"totalCount":0
}
]
},
{
"name":"Amazon",
"id":"amazon",
"no":2,
"sector":"Retailing",
"url":"https://www.amazon.com/",
"data":[
{
"year":2017,
"totalCount":117
},
{
"year":2018,
"totalCount":0
},
{
"year":2019,
"totalCount":0
},
{
"year":2020,
"totalCount":0
},
{
"year":2021,
"totalCount":0
}
]
},
{
"name":"Apple",
"id":"Apple",
"no":3,
"sector":"Technology",
"url":"https://www.apple.com",
"data":[
{
"year":2017,
"totalCount":0
},
{
"year":2018,
"totalCount":3
},
{
"year":2019,
"totalCount":5
},
{
"year":2020,
"totalCount":3
},
{
"year":2021,
"totalCount":9
}
]
},
{
"name":"CVS Health",
"id":"CVSHealth",
"no":4,
"sector":"Health Care",
"url":"https://www.cvshealth.com",
"data":[
{
"year":2017,
"totalCount":0
},
{
"year":2018,
"totalCount":0
},
{
"year":2019,
"totalCount":0
},
{
"year":2020,
"totalCount":0
},
{
"year":2021,
"totalCount":0
}
]
}
],
"Word 3":[
{
"name":"Walmart",
"id":"Walmart",
"no":1,
"sector":"Retailing",
"url":"https://www.walmart.com",
"data":[
{
"year":2017,
"totalCount":0
},
{
"year":2018,
"totalCount":0
},
{
"year":2019,
"totalCount":0
},
{
"year":2020,
"totalCount":0
},
{
"year":2021,
"totalCount":0
}
]
},
{
"name":"Amazon",
"id":"amazon",
"no":2,
"sector":"Retailing",
"url":"https://www.amazon.com/",
"data":[
{
"year":2017,
"totalCount":42
},
{
"year":2018,
"totalCount":0
},
{
"year":2019,
"totalCount":0
},
{
"year":2020,
"totalCount":0
},
{
"year":2021,
"totalCount":0
}
]
},
{
"name":"Apple",
"id":"Apple",
"no":3,
"sector":"Technology",
"url":"https://www.apple.com",
"data":[
{
"year":2017,
"totalCount":0
},
{
"year":2018,
"totalCount":3
},
{
"year":2019,
"totalCount":12
},
{
"year":2020,
"totalCount":3
},
{
"year":2021,
"totalCount":3
}
]
},
{
"name":"CVS Health",
"id":"CVSHealth",
"no":4,
"sector":"Health Care",
"url":"https://www.cvshealth.com",
"data":[
{
"year":2017,
"totalCount":13
},
{
"year":2018,
"totalCount":25
},
{
"year":2019,
"totalCount":26
},
{
"year":2020,
"totalCount":7
},
{
"year":2021,
"totalCount":3
}
]
}
]
}
此处数据按关键字分类。但是，我想按扇区分类，得到每个扇区的totalCount之和。
这就是我想要实现的。
{
"Retailing":{
"Word 1":9,
"Word 2":118,
"Word 3":42
},
"Technology":{
"Word 1":0,
"Word 2":20,
"Word 3":21
},
"Health Care":{
"Word 1":1,
"Word 2":0,
"Word 3":74
}
}
这是我到目前为止所做的。
const objectData = {
"Word 1": [{
"name": "Walmart",
"id": "Walmart",
"no": 1,
"sector": "Retailing",
"url": "https://www.walmart.com",
"data": [{
"year": 2017,
"totalCount": 0
},
{
"year": 2018,
"totalCount": 2
},
{
"year": 2019,
"totalCount": 1
},
{
"year": 2020,
"totalCount": 1
},
{
"year": 2021,
"totalCount": 0
}
]
},
{
"name": "Amazon",
"id": "amazon",
"no": 2,
"sector": "Retailing",
"url": "https://www.amazon.com/",
"data": [{
"year": 2017,
"totalCount": 0
},
{
"year": 2018,
"totalCount": 0
},
{
"year": 2019,
"totalCount": 0
},
{
"year": 2020,
"totalCount": 5
},
{
"year": 2021,
"totalCount": 0
}
]
},
{
"name": "Apple",
"id": "Apple",
"no": 3,
"sector": "Technology",
"url": "https://www.apple.com",
"data": [{
"year": 2017,
"totalCount": 0
},
{
"year": 2018,
"totalCount": 0
},
{
"year": 2019,
"totalCount": 0
},
{
"year": 2020,
"totalCount": 0
},
{
"year": 2021,
"totalCount": 0
}
]
},
{
"name": "CVS Health",
"id": "CVSHealth",
"no": 4,
"sector": "Health Care",
"url": "https://www.cvshealth.com",
"data": [{
"year": 2017,
"totalCount": 0
},
{
"year": 2018,
"totalCount": 0
},
{
"year": 2019,
"totalCount": 1
},
{
"year": 2020,
"totalCount": 0
},
{
"year": 2021,
"totalCount": 0
}
]
}
],
"Word 2": [{
"name": "Walmart",
"id": "Walmart",
"no": 1,
"sector": "Retailing",
"url": "https://www.walmart.com",
"data": [{
"year": 2017,
"totalCount": 0
},
{
"year": 2018,
"totalCount": 0
},
{
"year": 2019,
"totalCount": 0
},
{
"year": 2020,
"totalCount": 1
},
{
"year": 2021,
"totalCount": 0
}
]
},
{
"name": "Amazon",
"id": "amazon",
"no": 2,
"sector": "Retailing",
"url": "https://www.amazon.com/",
"data": [{
"year": 2017,
"totalCount": 117
},
{
"year": 2018,
"totalCount": 0
},
{
"year": 2019,
"totalCount": 0
},
{
"year": 2020,
"totalCount": 0
},
{
"year": 2021,
"totalCount": 0
}
]
},
{
"name": "Apple",
"id": "Apple",
"no": 3,
"sector": "Technology",
"url": "https://www.apple.com",
"data": [{
"year": 2017,
"totalCount": 0
},
{
"year": 2018,
"totalCount": 3
},
{
"year": 2019,
"totalCount": 5
},
{
"year": 2020,
"totalCount": 3
},
{
"year": 2021,
"totalCount": 9
}
]
},
{
"name": "CVS Health",
"id": "CVSHealth",
"no": 4,
"sector": "Health Care",
"url": "https://www.cvshealth.com",
"data": [{
"year": 2017,
"totalCount": 0
},
{
"year": 2018,
"totalCount": 0
},
{
"year": 2019,
"totalCount": 0
},
{
"year": 2020,
"totalCount": 0
},
{
"year": 2021,
"totalCount": 0
}
]
}
],
"Word 3": [{
"name": "Walmart",
"id": "Walmart",
"no": 1,
"sector": "Retailing",
"url": "https://www.walmart.com",
"data": [{
"year": 2017,
"totalCount": 0
},
{
"year": 2018,
"totalCount": 0
},
{
"year": 2019,
"totalCount": 0
},
{
"year": 2020,
"totalCount": 0
},
{
"year": 2021,
"totalCount": 0
}
]
},
{
"name": "Amazon",
"id": "amazon",
"no": 2,
"sector": "Retailing",
"url": "https://www.amazon.com/",
"data": [{
"year": 2017,
"totalCount": 42
},
{
"year": 2018,
"totalCount": 0
},
{
"year": 2019,
"totalCount": 0
},
{
"year": 2020,
"totalCount": 0
},
{
"year": 2021,
"totalCount": 0
}
]
},
{
"name": "Apple",
"id": "Apple",
"no": 3,
"sector": "Technology",
"url": "https://www.apple.com",
"data": [{
"year": 2017,
"totalCount": 0
},
{
"year": 2018,
"totalCount": 3
},
{
"year": 2019,
"totalCount": 12
},
{
"year": 2020,
"totalCount": 3
},
{
"year": 2021,
"totalCount": 3
}
]
},
{
"name": "CVS Health",
"id": "CVSHealth",
"no": 4,
"sector": "Health Care",
"url": "https://www.cvshealth.com",
"data": [{
"year": 2017,
"totalCount": 13
},
{
"year": 2018,
"totalCount": 25
},
{
"year": 2019,
"totalCount": 26
},
{
"year": 2020,
"totalCount": 7
},
{
"year": 2021,
"totalCount": 3
}
]
}
]
}
const result = _.groupBy(_.map(_.flattenDeep(_.map(_.map(_.map(_.keys(objectData), key => {
return {
data: objectData[key],
word: key
}
}), i => {
return {
data: i.data.map(j => {
return {
...j,
word: i.word
}
})
}
}), 'data')), k => {
return {
sector: k.sector,
word: k.word,
count: _.sumBy(k.data, 'totalCount')
}
}), 'sector')
console.log(result)
<script src="https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.21/lodash.min.js"></script>
这应该让你开始（请注意你可能应该创建一个单独的函数来循环你的数据，让它 return 总和并在个别情况下调用它）。
objectData.forEach(function(word){
var a = 0;
var b = 0;
// Etc.
switch(word.sector){
case "Retailing":
// Do something;
break;
case "Health Care":
// Do something;
break;
default:
// Do something;
}
// Do something with your results
});
对象条目，forEach 遍历数组，并减少以获得总数。
var foo = {
"Word 1": [{
"name": "Walmart",
"id": "Walmart",
"no": 1,
"sector": "Retailing",
"url": "https://www.walmart.com",
"data": [{
"year": 2017,
"totalCount": 0
},
{
"year": 2018,
"totalCount": 2
},
{
"year": 2019,
"totalCount": 1
},
{
"year": 2020,
"totalCount": 1
},
{
"year": 2021,
"totalCount": 0
}
]
},
{
"name": "Amazon",
"id": "amazon",
"no": 2,
"sector": "Retailing",
"url": "https://www.amazon.com/",
"data": [{
"year": 2017,
"totalCount": 0
},
{
"year": 2018,
"totalCount": 0
},
{
"year": 2019,
"totalCount": 0
},
{
"year": 2020,
"totalCount": 5
},
{
"year": 2021,
"totalCount": 0
}
]
},
{
"name": "Apple",
"id": "Apple",
"no": 3,
"sector": "Technology",
"url": "https://www.apple.com",
"data": [{
"year": 2017,
"totalCount": 0
},
{
"year": 2018,
"totalCount": 0
},
{
"year": 2019,
"totalCount": 0
},
{
"year": 2020,
"totalCount": 0
},
{
"year": 2021,
"totalCount": 0
}
]
},
{
"name": "CVS Health",
"id": "CVSHealth",
"no": 4,
"sector": "Health Care",
"url": "https://www.cvshealth.com",
"data": [{
"year": 2017,
"totalCount": 0
},
{
"year": 2018,
"totalCount": 0
},
{
"year": 2019,
"totalCount": 1
},
{
"year": 2020,
"totalCount": 0
},
{
"year": 2021,
"totalCount": 0
}
]
}
],
"Word 2": [{
"name": "Walmart",
"id": "Walmart",
"no": 1,
"sector": "Retailing",
"url": "https://www.walmart.com",
"data": [{
"year": 2017,
"totalCount": 0
},
{
"year": 2018,
"totalCount": 0
},
{
"year": 2019,
"totalCount": 0
},
{
"year": 2020,
"totalCount": 1
},
{
"year": 2021,
"totalCount": 0
}
]
},
{
"name": "Amazon",
"id": "amazon",
"no": 2,
"sector": "Retailing",
"url": "https://www.amazon.com/",
"data": [{
"year": 2017,
"totalCount": 117
},
{
"year": 2018,
"totalCount": 0
},
{
"year": 2019,
"totalCount": 0
},
{
"year": 2020,
"totalCount": 0
},
{
"year": 2021,
"totalCount": 0
}
]
},
{
"name": "Apple",
"id": "Apple",
"no": 3,
"sector": "Technology",
"url": "https://www.apple.com",
"data": [{
"year": 2017,
"totalCount": 0
},
{
"year": 2018,
"totalCount": 3
},
{
"year": 2019,
"totalCount": 5
},
{
"year": 2020,
"totalCount": 3
},
{
"year": 2021,
"totalCount": 9
}
]
},
{
"name": "CVS Health",
"id": "CVSHealth",
"no": 4,
"sector": "Health Care",
"url": "https://www.cvshealth.com",
"data": [{
"year": 2017,
"totalCount": 0
},
{
"year": 2018,
"totalCount": 0
},
{
"year": 2019,
"totalCount": 0
},
{
"year": 2020,
"totalCount": 0
},
{
"year": 2021,
"totalCount": 0
}
]
}
],
"Word 3": [{
"name": "Walmart",
"id": "Walmart",
"no": 1,
"sector": "Retailing",
"url": "https://www.walmart.com",
"data": [{
"year": 2017,
"totalCount": 0
},
{
"year": 2018,
"totalCount": 0
},
{
"year": 2019,
"totalCount": 0
},
{
"year": 2020,
"totalCount": 0
},
{
"year": 2021,
"totalCount": 0
}
]
},
{
"name": "Amazon",
"id": "amazon",
"no": 2,
"sector": "Retailing",
"url": "https://www.amazon.com/",
"data": [{
"year": 2017,
"totalCount": 42
},
{
"year": 2018,
"totalCount": 0
},
{
"year": 2019,
"totalCount": 0
},
{
"year": 2020,
"totalCount": 0
},
{
"year": 2021,
"totalCount": 0
}
]
},
{
"name": "Apple",
"id": "Apple",
"no": 3,
"sector": "Technology",
"url": "https://www.apple.com",
"data": [{
"year": 2017,
"totalCount": 0
},
{
"year": 2018,
"totalCount": 3
},
{
"year": 2019,
"totalCount": 12
},
{
"year": 2020,
"totalCount": 3
},
{
"year": 2021,
"totalCount": 3
}
]
},
{
"name": "CVS Health",
"id": "CVSHealth",
"no": 4,
"sector": "Health Care",
"url": "https://www.cvshealth.com",
"data": [{
"year": 2017,
"totalCount": 13
},
{
"year": 2018,
"totalCount": 25
},
{
"year": 2019,
"totalCount": 26
},
{
"year": 2020,
"totalCount": 7
},
{
"year": 2021,
"totalCount": 3
}
]
}
]
};
// Loop over the entries in the object
const result = Object.entries(foo).reduce((obj, [key, arr]) => {
// Each word in the object has an array so we need to loop over it
arr.forEach(value => {
// have we seen this sector yet?
obj[value.sector] = obj[value.sector] || {};
// get the total for this sector's key
obj[value.sector][key] = (obj[value.sector][key] || 0) + value.data.reduce((total, {
totalCount
}) => total + totalCount, 0);
});
return obj;
}, {});
console.log(result);
我有一个对象，它的值是一个对象数组。我想遍历对象并按扇区对其进行分类。这是我的数据。
{
"Word 1":[
{
"name":"Walmart",
"id":"Walmart",
"no":1,
"sector":"Retailing",
"url":"https://www.walmart.com",
"data":[
{
"year":2017,
"totalCount":0
},
{
"year":2018,
"totalCount":2
},
{
"year":2019,
"totalCount":1
},
{
"year":2020,
"totalCount":1
},
{
"year":2021,
"totalCount":0
}
]
},
{
"name":"Amazon",
"id":"amazon",
"no":2,
"sector":"Retailing",
"url":"https://www.amazon.com/",
"data":[
{
"year":2017,
"totalCount":0
},
{
"year":2018,
"totalCount":0
},
{
"year":2019,
"totalCount":0
},
{
"year":2020,
"totalCount":5
},
{
"year":2021,
"totalCount":0
}
]
},
{
"name":"Apple",
"id":"Apple",
"no":3,
"sector":"Technology",
"url":"https://www.apple.com",
"data":[
{
"year":2017,
"totalCount":0
},
{
"year":2018,
"totalCount":0
},
{
"year":2019,
"totalCount":0
},
{
"year":2020,
"totalCount":0
},
{
"year":2021,
"totalCount":0
}
]
},
{
"name":"CVS Health",
"id":"CVSHealth",
"no":4,
"sector":"Health Care",
"url":"https://www.cvshealth.com",
"data":[
{
"year":2017,
"totalCount":0
},
{
"year":2018,
"totalCount":0
},
{
"year":2019,
"totalCount":1
},
{
"year":2020,
"totalCount":0
},
{
"year":2021,
"totalCount":0
}
]
}
],
"Word 2":[
{
"name":"Walmart",
"id":"Walmart",
"no":1,
"sector":"Retailing",
"url":"https://www.walmart.com",
"data":[
{
"year":2017,
"totalCount":0
},
{
"year":2018,
"totalCount":0
},
{
"year":2019,
"totalCount":0
},
{
"year":2020,
"totalCount":1
},
{
"year":2021,
"totalCount":0
}
]
},
{
"name":"Amazon",
"id":"amazon",
"no":2,
"sector":"Retailing",
"url":"https://www.amazon.com/",
"data":[
{
"year":2017,
"totalCount":117
},
{
"year":2018,
"totalCount":0
},
{
"year":2019,
"totalCount":0
},
{
"year":2020,
"totalCount":0
},
{
"year":2021,
"totalCount":0
}
]
},
{
"name":"Apple",
"id":"Apple",
"no":3,
"sector":"Technology",
"url":"https://www.apple.com",
"data":[
{
"year":2017,
"totalCount":0
},
{
"year":2018,
"totalCount":3
},
{
"year":2019,
"totalCount":5
},
{
"year":2020,
"totalCount":3
},
{
"year":2021,
"totalCount":9
}
]
},
{
"name":"CVS Health",
"id":"CVSHealth",
"no":4,
"sector":"Health Care",
"url":"https://www.cvshealth.com",
"data":[
{
"year":2017,
"totalCount":0
},
{
"year":2018,
"totalCount":0
},
{
"year":2019,
"totalCount":0
},
{
"year":2020,
"totalCount":0
},
{
"year":2021,
"totalCount":0
}
]
}
],
"Word 3":[
{
"name":"Walmart",
"id":"Walmart",
"no":1,
"sector":"Retailing",
"url":"https://www.walmart.com",
"data":[
{
"year":2017,
"totalCount":0
},
{
"year":2018,
"totalCount":0
},
{
"year":2019,
"totalCount":0
},
{
"year":2020,
"totalCount":0
},
{
"year":2021,
"totalCount":0
}
]
},
{
"name":"Amazon",
"id":"amazon",
"no":2,
"sector":"Retailing",
"url":"https://www.amazon.com/",
"data":[
{
"year":2017,
"totalCount":42
},
{
"year":2018,
"totalCount":0
},
{
"year":2019,
"totalCount":0
},
{
"year":2020,
"totalCount":0
},
{
"year":2021,
"totalCount":0
}
]
},
{
"name":"Apple",
"id":"Apple",
"no":3,
"sector":"Technology",
"url":"https://www.apple.com",
"data":[
{
"year":2017,
"totalCount":0
},
{
"year":2018,
"totalCount":3
},
{
"year":2019,
"totalCount":12
},
{
"year":2020,
"totalCount":3
},
{
"year":2021,
"totalCount":3
}
]
},
{
"name":"CVS Health",
"id":"CVSHealth",
"no":4,
"sector":"Health Care",
"url":"https://www.cvshealth.com",
"data":[
{
"year":2017,
"totalCount":13
},
{
"year":2018,
"totalCount":25
},
{
"year":2019,
"totalCount":26
},
{
"year":2020,
"totalCount":7
},
{
"year":2021,
"totalCount":3
}
]
}
]
}
此处数据按关键字分类。但是，我想按扇区分类，得到每个扇区的totalCount之和。
这就是我想要实现的。
{
"Retailing":{
"Word 1":9,
"Word 2":118,
"Word 3":42
},
"Technology":{
"Word 1":0,
"Word 2":20,
"Word 3":21
},
"Health Care":{
"Word 1":1,
"Word 2":0,
"Word 3":74
}
}
这是我到目前为止所做的。
const objectData = {
"Word 1": [{
"name": "Walmart",
"id": "Walmart",
"no": 1,
"sector": "Retailing",
"url": "https://www.walmart.com",
"data": [{
"year": 2017,
"totalCount": 0
},
{
"year": 2018,
"totalCount": 2
},
{
"year": 2019,
"totalCount": 1
},
{
"year": 2020,
"totalCount": 1
},
{
"year": 2021,
"totalCount": 0
}
]
},
{
"name": "Amazon",
"id": "amazon",
"no": 2,
"sector": "Retailing",
"url": "https://www.amazon.com/",
"data": [{
"year": 2017,
"totalCount": 0
},
{
"year": 2018,
"totalCount": 0
},
{
"year": 2019,
"totalCount": 0
},
{
"year": 2020,
"totalCount": 5
},
{
"year": 2021,
"totalCount": 0
}
]
},
{
"name": "Apple",
"id": "Apple",
"no": 3,
"sector": "Technology",
"url": "https://www.apple.com",
"data": [{
"year": 2017,
"totalCount": 0
},
{
"year": 2018,
"totalCount": 0
},
{
"year": 2019,
"totalCount": 0
},
{
"year": 2020,
"totalCount": 0
},
{
"year": 2021,
"totalCount": 0
}
]
},
{
"name": "CVS Health",
"id": "CVSHealth",
"no": 4,
"sector": "Health Care",
"url": "https://www.cvshealth.com",
"data": [{
"year": 2017,
"totalCount": 0
},
{
"year": 2018,
"totalCount": 0
},
{
"year": 2019,
"totalCount": 1
},
{
"year": 2020,
"totalCount": 0
},
{
"year": 2021,
"totalCount": 0
}
]
}
],
"Word 2": [{
"name": "Walmart",
"id": "Walmart",
"no": 1,
"sector": "Retailing",
"url": "https://www.walmart.com",
"data": [{
"year": 2017,
"totalCount": 0
},
{
"year": 2018,
"totalCount": 0
},
{
"year": 2019,
"totalCount": 0
},
{
"year": 2020,
"totalCount": 1
},
{
"year": 2021,
"totalCount": 0
}
]
},
{
"name": "Amazon",
"id": "amazon",
"no": 2,
"sector": "Retailing",
"url": "https://www.amazon.com/",
"data": [{
"year": 2017,
"totalCount": 117
},
{
"year": 2018,
"totalCount": 0
},
{
"year": 2019,
"totalCount": 0
},
{
"year": 2020,
"totalCount": 0
},
{
"year": 2021,
"totalCount": 0
}
]
},
{
"name": "Apple",
"id": "Apple",
"no": 3,
"sector": "Technology",
"url": "https://www.apple.com",
"data": [{
"year": 2017,
"totalCount": 0
},
{
"year": 2018,
"totalCount": 3
},
{
"year": 2019,
"totalCount": 5
},
{
"year": 2020,
"totalCount": 3
},
{
"year": 2021,
"totalCount": 9
}
]
},
{
"name": "CVS Health",
"id": "CVSHealth",
"no": 4,
"sector": "Health Care",
"url": "https://www.cvshealth.com",
"data": [{
"year": 2017,
"totalCount": 0
},
{
"year": 2018,
"totalCount": 0
},
{
"year": 2019,
"totalCount": 0
},
{
"year": 2020,
"totalCount": 0
},
{
"year": 2021,
"totalCount": 0
}
]
}
],
"Word 3": [{
"name": "Walmart",
"id": "Walmart",
"no": 1,
"sector": "Retailing",
"url": "https://www.walmart.com",
"data": [{
"year": 2017,
"totalCount": 0
},
{
"year": 2018,
"totalCount": 0
},
{
"year": 2019,
"totalCount": 0
},
{
"year": 2020,
"totalCount": 0
},
{
"year": 2021,
"totalCount": 0
}
]
},
{
"name": "Amazon",
"id": "amazon",
"no": 2,
"sector": "Retailing",
"url": "https://www.amazon.com/",
"data": [{
"year": 2017,
"totalCount": 42
},
{
"year": 2018,
"totalCount": 0
},
{
"year": 2019,
"totalCount": 0
},
{
"year": 2020,
"totalCount": 0
},
{
"year": 2021,
"totalCount": 0
}
]
},
{
"name": "Apple",
"id": "Apple",
"no": 3,
"sector": "Technology",
"url": "https://www.apple.com",
"data": [{
"year": 2017,
"totalCount": 0
},
{
"year": 2018,
"totalCount": 3
},
{
"year": 2019,
"totalCount": 12
},
{
"year": 2020,
"totalCount": 3
},
{
"year": 2021,
"totalCount": 3
}
]
},
{
"name": "CVS Health",
"id": "CVSHealth",
"no": 4,
"sector": "Health Care",
"url": "https://www.cvshealth.com",
"data": [{
"year": 2017,
"totalCount": 13
},
{
"year": 2018,
"totalCount": 25
},
{
"year": 2019,
"totalCount": 26
},
{
"year": 2020,
"totalCount": 7
},
{
"year": 2021,
"totalCount": 3
}
]
}
]
}
const result = _.groupBy(_.map(_.flattenDeep(_.map(_.map(_.map(_.keys(objectData), key => {
return {
data: objectData[key],
word: key
}
}), i => {
return {
data: i.data.map(j => {
return {
...j,
word: i.word
}
})
}
}), 'data')), k => {
return {
sector: k.sector,
word: k.word,
count: _.sumBy(k.data, 'totalCount')
}
}), 'sector')
console.log(result)
<script src="https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.21/lodash.min.js"></script>
这应该让你开始（请注意你可能应该创建一个单独的函数来循环你的数据，让它 return 总和并在个别情况下调用它）。
objectData.forEach(function(word){
var a = 0;
var b = 0;
// Etc.
switch(word.sector){
case "Retailing":
// Do something;
break;
case "Health Care":
// Do something;
break;
default:
// Do something;
}
// Do something with your results
});
对象条目，forEach 遍历数组，并减少以获得总数。
var foo = {
"Word 1": [{
"name": "Walmart",
"id": "Walmart",
"no": 1,
"sector": "Retailing",
"url": "https://www.walmart.com",
"data": [{
"year": 2017,
"totalCount": 0
},
{
"year": 2018,
"totalCount": 2
},
{
"year": 2019,
"totalCount": 1
},
{
"year": 2020,
"totalCount": 1
},
{
"year": 2021,
"totalCount": 0
}
]
},
{
"name": "Amazon",
"id": "amazon",
"no": 2,
"sector": "Retailing",
"url": "https://www.amazon.com/",
"data": [{
"year": 2017,
"totalCount": 0
},
{
"year": 2018,
"totalCount": 0
},
{
"year": 2019,
"totalCount": 0
},
{
"year": 2020,
"totalCount": 5
},
{
"year": 2021,
"totalCount": 0
}
]
},
{
"name": "Apple",
"id": "Apple",
"no": 3,
"sector": "Technology",
"url": "https://www.apple.com",
"data": [{
"year": 2017,
"totalCount": 0
},
{
"year": 2018,
"totalCount": 0
},
{
"year": 2019,
"totalCount": 0
},
{
"year": 2020,
"totalCount": 0
},
{
"year": 2021,
"totalCount": 0
}
]
},
{
"name": "CVS Health",
"id": "CVSHealth",
"no": 4,
"sector": "Health Care",
"url": "https://www.cvshealth.com",
"data": [{
"year": 2017,
"totalCount": 0
},
{
"year": 2018,
"totalCount": 0
},
{
"year": 2019,
"totalCount": 1
},
{
"year": 2020,
"totalCount": 0
},
{
"year": 2021,
"totalCount": 0
}
]
}
],
"Word 2": [{
"name": "Walmart",
"id": "Walmart",
"no": 1,
"sector": "Retailing",
"url": "https://www.walmart.com",
"data": [{
"year": 2017,
"totalCount": 0
},
{
"year": 2018,
"totalCount": 0
},
{
"year": 2019,
"totalCount": 0
},
{
"year": 2020,
"totalCount": 1
},
{
"year": 2021,
"totalCount": 0
}
]
},
{
"name": "Amazon",
"id": "amazon",
"no": 2,
"sector": "Retailing",
"url": "https://www.amazon.com/",
"data": [{
"year": 2017,
"totalCount": 117
},
{
"year": 2018,
"totalCount": 0
},
{
"year": 2019,
"totalCount": 0
},
{
"year": 2020,
"totalCount": 0
},
{
"year": 2021,
"totalCount": 0
}
]
},
{
"name": "Apple",
"id": "Apple",
"no": 3,
"sector": "Technology",
"url": "https://www.apple.com",
"data": [{
"year": 2017,
"totalCount": 0
},
{
"year": 2018,
"totalCount": 3
},
{
"year": 2019,
"totalCount": 5
},
{
"year": 2020,
"totalCount": 3
},
{
"year": 2021,
"totalCount": 9
}
]
},
{
"name": "CVS Health",
"id": "CVSHealth",
"no": 4,
"sector": "Health Care",
"url": "https://www.cvshealth.com",
"data": [{
"year": 2017,
"totalCount": 0
},
{
"year": 2018,
"totalCount": 0
},
{
"year": 2019,
"totalCount": 0
},
{
"year": 2020,
"totalCount": 0
},
{
"year": 2021,
"totalCount": 0
}
]
}
],
"Word 3": [{
"name": "Walmart",
"id": "Walmart",
"no": 1,
"sector": "Retailing",
"url": "https://www.walmart.com",
"data": [{
"year": 2017,
"totalCount": 0
},
{
"year": 2018,
"totalCount": 0
},
{
"year": 2019,
"totalCount": 0
},
{
"year": 2020,
"totalCount": 0
},
{
"year": 2021,
"totalCount": 0
}
]
},
{
"name": "Amazon",
"id": "amazon",
"no": 2,
"sector": "Retailing",
"url": "https://www.amazon.com/",
"data": [{
"year": 2017,
"totalCount": 42
},
{
"year": 2018,
"totalCount": 0
},
{
"year": 2019,
"totalCount": 0
},
{
"year": 2020,
"totalCount": 0
},
{
"year": 2021,
"totalCount": 0
}
]
},
{
"name": "Apple",
"id": "Apple",
"no": 3,
"sector": "Technology",
"url": "https://www.apple.com",
"data": [{
"year": 2017,
"totalCount": 0
},
{
"year": 2018,
"totalCount": 3
},
{
"year": 2019,
"totalCount": 12
},
{
"year": 2020,
"totalCount": 3
},
{
"year": 2021,
"totalCount": 3
}
]
},
{
"name": "CVS Health",
"id": "CVSHealth",
"no": 4,
"sector": "Health Care",
"url": "https://www.cvshealth.com",
"data": [{
"year": 2017,
"totalCount": 13
},
{
"year": 2018,
"totalCount": 25
},
{
"year": 2019,
"totalCount": 26
},
{
"year": 2020,
"totalCount": 7
},
{
"year": 2021,
"totalCount": 3
}
]
}
]
};
// Loop over the entries in the object
const result = Object.entries(foo).reduce((obj, [key, arr]) => {
// Each word in the object has an array so we need to loop over it
arr.forEach(value => {
// have we seen this sector yet?
obj[value.sector] = obj[value.sector] || {};
// get the total for this sector's key
obj[value.sector][key] = (obj[value.sector][key] || 0) + value.data.reduce((total, {
totalCount
}) => total + totalCount, 0);
});
return obj;
}, {});
console.log(result);