我需要重新组织我的 json 数据，使其基于当前嵌套在数据中两层以下的键。数据带有基于事件的“id”、“name”等的层次结构。我需要将层次结构基于“年”，它位于每个项目的“年”数组中。我尝试了各种方法，但我什至不确定我是否应该使用 d3.nest 或 d3.map(或两者)。
我没有费心发布我的 d3 代码，因为我在这个阶段所做的就是加载数据并将其记录到控制台。
非常感谢任何帮助。
传入的数据:
[{
"id": 2,
"name": "Test activity 51",
"code": "D51",
"description": "Description goes here.",
"years": [{
"id": 8,
"year": "2020-2021",
"target": 65,
"weeks": [{
"week_ending": "2020-12-06",
"hours": 4.0
}, {
"week_ending": "2020-12-06",
"hours": 2.5
}, {
"week_ending": "2020-10-18",
"hours": 2.0
}, {
"week_ending": "2020-07-19",
"hours": 2.0
}]
}, {
"id": 11,
"year": "2019-2020",
"target": 40,
"weeks": [{
"week_ending": "2020-01-05",
"hours": 3.0
}, {
"week_ending": "2019-09-15",
"hours": 5.5
}, {
"week_ending": "2019-07-14",
"hours": 1.5
}]
}, {
"id": 10,
"year": "2018-2019",
"target": 40,
"weeks": [{
"week_ending": "2018-09-30",
"hours": 3.0
}]
}]
}, {
"id": 3,
"name": "Test activity 63",
"code": "D63",
"description": null,
"years": [{
"id": 2,
"year": "2019-2020",
"target": 15,
"weeks": [{
"week_ending": "2020-05-24",
"hours": 2.0
}, {
"week_ending": "2020-03-22",
"hours": 4.0
}, {
"week_ending": "2020-01-26",
"hours": 5.0
}, {
"week_ending": "2020-01-19",
"hours": 4.0
}, {
"week_ending": "2019-12-01",
"hours": 4.5
}, {
"week_ending": "2019-08-25",
"hours": 2.0
}, {
"week_ending": "2019-07-21",
"hours": 3.0
}]
}, {
"id": 9,
"year": "2018-2019",
"target": 30,
"weeks": [{
"week_ending": "2018-08-19",
"hours": 3.5
}, {
"week_ending": "2019-02-10",
"hours": 5.0
}, {
"week_ending": "2018-12-30",
"hours": 3.0
}, {
"week_ending": "2018-10-21",
"hours": 2.0
}, {
"week_ending": "2018-08-26",
"hours": 4.0
}]
}]
}, {
"id": 1,
"name": "Test activity 27",
"code": "D27",
"description": "Description goes here.",
"years": [{
"id": 4,
"year": "2019-2020",
"target": 30,
"weeks": [{
"week_ending": "2020-04-05",
"hours": 2.0
}, {
"week_ending": "2020-03-22",
"hours": 6.0
}, {
"week_ending": "2020-01-12",
"hours": 1.0
}]
}, {
"id": 1,
"year": "2018-2019",
"target": 25,
"weeks": [{
"week_ending": "2018-11-18",
"hours": 6.0
}, {
"week_ending": "2018-10-21",
"hours": 2.0
}, {
"week_ending": "2018-10-07",
"hours": 6.0
}]
}]
}, {
"id": 10,
"name": "Test activity 59",
"code": "D59",
"description": null,
"years": [{
"id": 13,
"year": "2020-2021",
"target": 15,
"weeks": [{
"week_ending": "2021-04-18",
"hours": 4.0
}, {
"week_ending": "2021-02-28",
"hours": 2.0
}, {
"week_ending": "2021-02-14",
"hours": 5.0
}, {
"week_ending": "2020-11-22",
"hours": 3.0
}, {
"week_ending": "2020-08-16",
"hours": 2.0
}]
}, {
"id": 14,
"year": "2019-2020",
"target": 18,
"weeks": [{
"week_ending": "2019-12-01",
"hours": 2.0
}, {
"week_ending": "2019-10-27",
"hours": 9.0
}, {
"week_ending": "2019-09-01",
"hours": 2.5
}]
}, {
"id": 12,
"year": "2018-2019",
"target": 20,
"weeks": [{
"week_ending": "2018-11-11",
"hours": 4.0
}, {
"week_ending": "2018-08-26",
"hours": 1.0
}, {
"week_ending": "2018-08-12",
"hours": 12.0
}]
}]
}]
我要实现的目标:
[{
"year": "2020-2021",
"values": [{
"name": "Test activity 51",
"code": "D51",
"description": "Description goes here.",
"target": 65,
"weeks": [{
"week_ending": "2020-12-06",
"hours": 4.0
}, {
"week_ending": "2020-12-06",
"hours": 2.5
}, {
"week_ending": "2020-10-18",
"hours": 2.0
}, {
"week_ending": "2020-07-19",
"hours": 2.0
}]
}, {
"name": "Test activity 59",
"code": "D59",
"description": null,
"target": 15,
"weeks": [{
"week_ending": "2021-04-18",
"hours": 4.0
}, {
"week_ending": "2021-02-28",
"hours": 2.0
}, {
"week_ending": "2021-02-14",
"hours": 5.0
}, {
"week_ending": "2020-11-22",
"hours": 3.0
}, {
"week_ending": "2020-08-16",
"hours": 2.0
}]
}, ]
}, {
"year": "2019-2020",
"values": [{
"name": "Test activity 51",
"code": "D51",
"description": "Description goes here.",
"target": 40,
"weeks": [{
"week_ending": "2020-01-05",
"hours": 3.0
}, {
"week_ending": "2019-09-15",
"hours": 5.5
}, {
"week_ending": "2019-07-14",
"hours": 1.5
}]
}, {
"name": "Test activity 63",
"code": "D63",
"description": null,
"target": 15,
"weeks": [{
"week_ending": "2020-05-24",
"hours": 2.0
}, {
"week_ending": "2020-03-22",
"hours": 4.0
}, {
"week_ending": "2020-01-26",
"hours": 5.0
}, {
"week_ending": "2020-01-19",
"hours": 4.0
}, {
"week_ending": "2019-12-01",
"hours": 4.5
}, {
"week_ending": "2019-08-25",
"hours": 2.0
}, {
"week_ending": "2019-07-21",
"hours": 3.0
}]
}, {
"name": "Test activity 27",
"code": "D27",
"description": "Description goes here.",
"target": 30,
"weeks": [{
"week_ending": "2020-04-05",
"hours": 2.0
}, {
"week_ending": "2020-03-22",
"hours": 6.0
}, {
"week_ending": "2020-01-12",
"hours": 1.0
}]
}, {
"name": "Test activity 59",
"code": "D59",
"description": null,
"target": 18,
"weeks": [{
"week_ending": "2019-12-01",
"hours": 2.0
}, {
"week_ending": "2019-10-27",
"hours": 9.0
}, {
"week_ending": "2019-09-01",
"hours": 2.5
}]
}, ]
}, {
"year": "2018-2019",
"values": [{
"name": "Test activity 51",
"code": "D51",
"description": "Description goes here.",
"target": 40,
"weeks": [{
"week_ending": "2018-09-30",
"hours": 3.0
}]
}, {
"name": "Test activity 63",
"code": "D63",
"description": null,
"target": 30,
"weeks": [{
"week_ending": "2018-08-19",
"hours": 3.5
}, {
"week_ending": "2019-02-10",
"hours": 5.0
}, {
"week_ending": "2018-12-30",
"hours": 3.0
}, {
"week_ending": "2018-10-21",
"hours": 2.0
}, {
"week_ending": "2018-08-26",
"hours": 4.0
}]
}, {
"name": "Test activity 27",
"code": "D27",
"description": "Description goes here.",
"target": 25,
"weeks": [{
"week_ending": "2018-11-18",
"hours": 6.0
}, {
"week_ending": "2018-10-21",
"hours": 2.0
}, {
"week_ending": "2018-10-07",
"hours": 6.0
}]
}, {
"name": "Test activity 59",
"code": "D59",
"description": null,
"target": 20,
"weeks": [{
"week_ending": "2018-11-11",
"hours": 4.0
}, {
"week_ending": "2018-08-26",
"hours": 1.0
}, {
"week_ending": "2018-08-12",
"hours": 12.0
}]
}]
}]
最佳答案
对于 D3 nest，您的要求太复杂了。除此之外，d3.nest 无论如何都将被弃用...因此，这是一种纯 JavaScript 方法。
我们首先得到一组独特的年份:
const yearsList = [...new Set(data.map(d => d.years.map(e => e.year)).flat())];
然后，有了这个集合，我们循环遍历您的数据并创建一个新数组(这里称为 newData)，在一个ad hoc 的解决方案中和冗长:
yearsList.forEach(d => {
data.forEach(e => {
const foundObject = e.years.find(f => f.year === d);
if (foundObject) {
const foundInNewData = newData.find(f => f.year === d);
const values = {
name: e.name,
code: e.code,
description: e.description,
target: foundObject.target,
weeks: foundObject.weeks
};
if (foundInNewData) {
foundInNewData.values.push(values);
} else {
newData.push({
year: d,
values: [values]
});
};
};
});
});
这是演示:
const data = [{
"id": 2,
"name": "Test activity 51",
"code": "D51",
"description": "Description goes here.",
"years": [{
"id": 8,
"year": "2020-2021",
"target": 65,
"weeks": [{
"week_ending": "2020-12-06",
"hours": 4.0
},
{
"week_ending": "2020-12-06",
"hours": 2.5
},
{
"week_ending": "2020-10-18",
"hours": 2.0
},
{
"week_ending": "2020-07-19",
"hours": 2.0
}
]
},
{
"id": 11,
"year": "2019-2020",
"target": 40,
"weeks": [{
"week_ending": "2020-01-05",
"hours": 3.0
},
{
"week_ending": "2019-09-15",
"hours": 5.5
},
{
"week_ending": "2019-07-14",
"hours": 1.5
}
]
},
{
"id": 10,
"year": "2018-2019",
"target": 40,
"weeks": [{
"week_ending": "2018-09-30",
"hours": 3.0
}]
}
]
},
{
"id": 3,
"name": "Test activity 63",
"code": "D63",
"description": null,
"years": [{
"id": 2,
"year": "2019-2020",
"target": 15,
"weeks": [{
"week_ending": "2020-05-24",
"hours": 2.0
},
{
"week_ending": "2020-03-22",
"hours": 4.0
},
{
"week_ending": "2020-01-26",
"hours": 5.0
},
{
"week_ending": "2020-01-19",
"hours": 4.0
},
{
"week_ending": "2019-12-01",
"hours": 4.5
},
{
"week_ending": "2019-08-25",
"hours": 2.0
},
{
"week_ending": "2019-07-21",
"hours": 3.0
}
]
},
{
"id": 9,
"year": "2018-2019",
"target": 30,
"weeks": [{
"week_ending": "2018-08-19",
"hours": 3.5
},
{
"week_ending": "2019-02-10",
"hours": 5.0
},
{
"week_ending": "2018-12-30",
"hours": 3.0
},
{
"week_ending": "2018-10-21",
"hours": 2.0
},
{
"week_ending": "2018-08-26",
"hours": 4.0
}
]
}
]
},
{
"id": 1,
"name": "Test activity 27",
"code": "D27",
"description": "Description goes here.",
"years": [{
"id": 4,
"year": "2019-2020",
"target": 30,
"weeks": [{
"week_ending": "2020-04-05",
"hours": 2.0
},
{
"week_ending": "2020-03-22",
"hours": 6.0
},
{
"week_ending": "2020-01-12",
"hours": 1.0
}
]
},
{
"id": 1,
"year": "2018-2019",
"target": 25,
"weeks": [{
"week_ending": "2018-11-18",
"hours": 6.0
},
{
"week_ending": "2018-10-21",
"hours": 2.0
},
{
"week_ending": "2018-10-07",
"hours": 6.0
}
]
}
]
},
{
"id": 10,
"name": "Test activity 59",
"code": "D59",
"description": null,
"years": [{
"id": 13,
"year": "2020-2021",
"target": 15,
"weeks": [{
"week_ending": "2021-04-18",
"hours": 4.0
},
{
"week_ending": "2021-02-28",
"hours": 2.0
},
{
"week_ending": "2021-02-14",
"hours": 5.0
},
{
"week_ending": "2020-11-22",
"hours": 3.0
},
{
"week_ending": "2020-08-16",
"hours": 2.0
}
]
},
{
"id": 14,
"year": "2019-2020",
"target": 18,
"weeks": [{
"week_ending": "2019-12-01",
"hours": 2.0
},
{
"week_ending": "2019-10-27",
"hours": 9.0
},
{
"week_ending": "2019-09-01",
"hours": 2.5
}
]
},
{
"id": 12,
"year": "2018-2019",
"target": 20,
"weeks": [{
"week_ending": "2018-11-11",
"hours": 4.0
},
{
"week_ending": "2018-08-26",
"hours": 1.0
},
{
"week_ending": "2018-08-12",
"hours": 12.0
}
]
}
]
}
];
const yearsList = [...new Set(data.map(d => d.years.map(e => e.year)).flat())];
const newData = [];
yearsList.forEach(d => {
data.forEach(e => {
const foundObject = e.years.find(f => f.year === d);
if (foundObject) {
const foundInNewData = newData.find(f => f.year === d);
const values = {
name: e.name,
code: e.code,
description: e.description,
target: foundObject.target,
weeks: foundObject.weeks
};
if (foundInNewData) {
foundInNewData.values.push(values)
} else {
newData.push({
year: d,
values: [values]
})
}
}
})
});
console.log(newData)<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/5.7.0/d3.min.js"></script>您会注意到，上面的代码不仅有一两个循环，还有三个 循环。如果您的数据数组太大，您还可以尝试仅使用两个嵌套循环的解决方案:
const newData = [];
data.forEach(d => {
d.years.forEach(e => {
const foundInNewData = newData.find(f => f.year === e.year);
const values = {
name: d.name,
code: d.code,
description: d.description,
target: e.target,
weeks: e.weeks
};
if (foundInNewData) {
foundInNewData.values.push(values)
} else {
newData.push({
year: e.year,
values: [values]
})
}
});
});
这是相应的演示:
const data = [{
"id": 2,
"name": "Test activity 51",
"code": "D51",
"description": "Description goes here.",
"years": [{
"id": 8,
"year": "2020-2021",
"target": 65,
"weeks": [{
"week_ending": "2020-12-06",
"hours": 4.0
},
{
"week_ending": "2020-12-06",
"hours": 2.5
},
{
"week_ending": "2020-10-18",
"hours": 2.0
},
{
"week_ending": "2020-07-19",
"hours": 2.0
}
]
},
{
"id": 11,
"year": "2019-2020",
"target": 40,
"weeks": [{
"week_ending": "2020-01-05",
"hours": 3.0
},
{
"week_ending": "2019-09-15",
"hours": 5.5
},
{
"week_ending": "2019-07-14",
"hours": 1.5
}
]
},
{
"id": 10,
"year": "2018-2019",
"target": 40,
"weeks": [{
"week_ending": "2018-09-30",
"hours": 3.0
}]
}
]
},
{
"id": 3,
"name": "Test activity 63",
"code": "D63",
"description": null,
"years": [{
"id": 2,
"year": "2019-2020",
"target": 15,
"weeks": [{
"week_ending": "2020-05-24",
"hours": 2.0
},
{
"week_ending": "2020-03-22",
"hours": 4.0
},
{
"week_ending": "2020-01-26",
"hours": 5.0
},
{
"week_ending": "2020-01-19",
"hours": 4.0
},
{
"week_ending": "2019-12-01",
"hours": 4.5
},
{
"week_ending": "2019-08-25",
"hours": 2.0
},
{
"week_ending": "2019-07-21",
"hours": 3.0
}
]
},
{
"id": 9,
"year": "2018-2019",
"target": 30,
"weeks": [{
"week_ending": "2018-08-19",
"hours": 3.5
},
{
"week_ending": "2019-02-10",
"hours": 5.0
},
{
"week_ending": "2018-12-30",
"hours": 3.0
},
{
"week_ending": "2018-10-21",
"hours": 2.0
},
{
"week_ending": "2018-08-26",
"hours": 4.0
}
]
}
]
},
{
"id": 1,
"name": "Test activity 27",
"code": "D27",
"description": "Description goes here.",
"years": [{
"id": 4,
"year": "2019-2020",
"target": 30,
"weeks": [{
"week_ending": "2020-04-05",
"hours": 2.0
},
{
"week_ending": "2020-03-22",
"hours": 6.0
},
{
"week_ending": "2020-01-12",
"hours": 1.0
}
]
},
{
"id": 1,
"year": "2018-2019",
"target": 25,
"weeks": [{
"week_ending": "2018-11-18",
"hours": 6.0
},
{
"week_ending": "2018-10-21",
"hours": 2.0
},
{
"week_ending": "2018-10-07",
"hours": 6.0
}
]
}
]
},
{
"id": 10,
"name": "Test activity 59",
"code": "D59",
"description": null,
"years": [{
"id": 13,
"year": "2020-2021",
"target": 15,
"weeks": [{
"week_ending": "2021-04-18",
"hours": 4.0
},
{
"week_ending": "2021-02-28",
"hours": 2.0
},
{
"week_ending": "2021-02-14",
"hours": 5.0
},
{
"week_ending": "2020-11-22",
"hours": 3.0
},
{
"week_ending": "2020-08-16",
"hours": 2.0
}
]
},
{
"id": 14,
"year": "2019-2020",
"target": 18,
"weeks": [{
"week_ending": "2019-12-01",
"hours": 2.0
},
{
"week_ending": "2019-10-27",
"hours": 9.0
},
{
"week_ending": "2019-09-01",
"hours": 2.5
}
]
},
{
"id": 12,
"year": "2018-2019",
"target": 20,
"weeks": [{
"week_ending": "2018-11-11",
"hours": 4.0
},
{
"week_ending": "2018-08-26",
"hours": 1.0
},
{
"week_ending": "2018-08-12",
"hours": 12.0
}
]
}
]
}
];
const newData = [];
data.forEach(d => {
d.years.forEach(e => {
const foundInNewData = newData.find(f => f.year === e.year);
const values = {
name: d.name,
code: d.code,
description: d.description,
target: e.target,
weeks: e.weeks
};
if (foundInNewData) {
foundInNewData.values.push(values)
} else {
newData.push({
year: e.year,
values: [values]
})
}
});
});
console.log(newData)关于javascript - 从 json 层次结构中较低的键嵌套或映射数据，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/57949333/