我有一个如下所示的json文件:
[
{
"id": 1,
"country": "Greece",
"names": [
"Alex",
"Betty",
"Catherine",
"Dave",
"Edward",
"Frank",
"George",
"Helen",
"Irene"
]
},
{
"id": 2,
"country": "US",
"names": [
"John",
"Alex",
"Edward",
"Kate",
"Robert",
"Irene",
"Tim",
"Sam"
]
},
{
"id": 3,
"country": "France",
"names": [
"Helen",
"Kate",
"Louise",
"Tim",
"Catherine",
"Arthur",
"Frank",
"Natalie",
"Dave"
]
},
{
"id": 4,
"country": "India",
"names": [
"Ritesh",
"Alex",
"Betty",
"Robert"
]
},
{
"id": 5,
"country": "India",
"names": [
"Nafeez",
"Tom",
"Natalie",
"Gunar",
"Louise",
"Arthur"
]
}
]
我希望它是“以名称为中心”,看起来像这样:
{
"groups": [
{
"gr_id":1
"name":"Alex",
"country":"Greece"
},
.........
{
"gr_id":1
"name":"Irene",
"country":"Greece"
},
{
"gr_id":2
"name":"John",
"country":"US"
..........
{
"gr_id":2
"name":"Sam",
"country":"US"
},
{
"gr_id":3
"name":"Helen",
"country":"France"
},
.........
{
"gr_id":3
"name":"Dave",
"country":"France"
},
{
"gr_id":4
"name":"Ritesh",
"country":"India"
},
........
{
"gr_id":4
"name":"Robert",
"country":"India"
},
{
"gr_id":5
"name":"Nafeez",
"country":"India"
},
...........
{
"gr_id":5
"name":"Arthur",
"country":"India"
}
],
"links": [
{
"source":"Alex"
"target":"Irene",
"count":1
"country":"Greece"
},
...
{
"source":"Alex"
"target":"Arthur",
"count":0
"country":"India"
},
...
]
}
对于count
中的Links
,我对每个国家/地区/名称(csv格式)都有一个邻接矩阵,如下所示:screenshot of csv file (ad. matrix for India)
这个json就是一个例子。我有更大的文件(我需要它用于D3图形可视化)
答案 0 :(得分:1)
Reduce()
和map()
完美地为此工作。这基本上取每个项目,然后映射名称,将map()
的结果附加到数组:
let obj = {}
obj.groups = json.reduce(
(acc, curr) => acc.concat(curr.names.map(
item => ({gr_id: curr.id, country: curr.country, name: item})
)), [])
console.log(obj)
// { groups:
// [ { gr_id: 1, country: 'Greece', name: 'Alex' },
// { gr_id: 1, country: 'Greece', name: 'Betty' },
// ...etc
// ]
// }