按“扇區”關鍵字對嵌套對象數組進行分組 - Javascript
[英]Group an array of nested objects by 'sector' keyword - Javascript
問題描述
我有一個 object，其中值是一個對象數組。 我想go到object按扇區分類。 這是我的數據。
{
"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
}
]
}
]
}
這里的數據按關鍵字分類。 但是，我想按扇區對其進行分類，並獲取每個扇區的 totalCount 之和。
這就是我想要實現的。
{
"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
}
}
這是我到目前為止所做的。
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>
2 個解決方案
解決方案1
1 已采納 2022-04-19 18:03:57
Object 個條目，forEach 遍歷數組，並減少以獲得總數。
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);
解決方案2
0 2022-04-19 18:01:43
這應該讓你開始（請注意你可能應該創建一個單獨的 function 來循環你的數據，讓它返回總和並在個別情況下調用它）。
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
});
將嵌套的對象數組轉換為 JavaScript 或 TypeScript 中數據的特定對象組
[英]Convert nested array of objects to specific group of objects of the data in JavaScript or TypeScript
基於 javascript 中的 2 列創建對象和組的嵌套數組
[英]Create nested array of objects and Group based on 2 column in javascript
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