我正在尝试开发一个具有“运输”专业知识的数组，其中包含每个部门以及分配给他们的文本。
这就是我所拥有的：
-医疗保健
-数据驱动的见解以改善医疗保健
-新型数据挖掘和可视化
-以人为中心的增强和虚拟现实
-能源
-城市分析
-了解消费者行为模式
-优化能源系统
这就是我想要做的：
-专业知识（例如运输）
-部门（例如数据）
-文本（例如Urban Analytics）
-文本（例如理解消费者行为模式）
-文本（例如以人为中心的增强现实和虚拟现实）
-部门（例如工程）
---文本（例如，优化能源系统）
---文本（例如，高铁和系统集成创新）
---文本（例如，以人为中心的机器人和自治系统）
---文本（例如，地面跨长度的工程）
-部门（例如环境）
---文本（例如欧洲领先的城市模拟能力）
-专业知识
-部门
---文本
如果有人可以提供帮助，我将使用以下代码，对此我将深表感谢。
var items = [{
"item": {
"id": 0,
"sector": 'Data',
"expertise": ["Healthcare"],
"text": "Data-driven insights to improve healthcare"
}
},
{
"item": {
"id": 1,
"sector": 'Data',
"expertise": ["Energy", "Transport", "Cities"],
"text": "Urban Analytics"
}
},
{
"item": {
"id": 2,
"sector": 'Data',
"expertise": ["Energy", "Transport", "Consumer"],
"text": "Understanding patterns of consumer behaviour"
}
},
{
"item": {
"id": 3,
"sector": 'Data',
"expertise": ["Healthcare", "Consumer"],
"text": "Novel data mining and visualisation"
}
},
{
"item": {
"id": 4,
"sector": 'Data',
"expertise": ["Healthcare", "Transport", "Consumer"],
"text": "Human-centred augmented and virtual realities"
}
},
{
"item": {
"id": 5,
"sector": 'Healthcare',
"expertise": ["Healthcare"],
"text": "Medical technology innovation, translation and convergence"
}
},
{
"item": {
"id": 6,
"sector": 'Healthcare',
"expertise": ["Healthcare"],
"text": "Understanding cardio metabolic disease"
}
},
{
"item": {
"id": 7,
"sector": 'Healthcare',
"expertise": ["Healthcare"],
"text": "Improving early cancer diagnosis and treatment"
}
},
{
"item": {
"id": 8,
"sector": 'Healthcare',
"expertise": ["Healthcare", "Pharmaceuticals"],
"text": "Understanding life in molecular detail"
}
},
{
"item": {
"id": 9,
"sector": 'Healthcare',
"expertise": ["Healthcare"],
"text": "Evidencing treatment through clinical trials"
}
},
{
"item": {
"id": 10,
"sector": 'Engineering',
"expertise": ["Energy", "Transport"],
"text": "Optimising energy systems"
}
},
{
"item": {
"id": 11,
"sector": 'Engineering',
"expertise": ["Energy"],
"text": "Enhancing petroleum recovery"
}
},
{
"item": {
"id": 12,
"sector": 'Engineering',
"expertise": ["Transport"],
"text": "High speed rail and system integration innovation"
}
},
{
"item": {
"id": 13,
"sector": 'Engineering',
"expertise": ["Healthcare", "Electronics"],
"text": "Terahertz frequency electronic and photonic devices"
}
},
{
"item": {
"id": 14,
"sector": 'Engineering',
"expertise": ["Healthcare", "Transport", "Manufacturing"],
"text": "Human-centred robotic and autonomous systems"
}
},
{
"item": {
"id": 15,
"sector": 'Engineering',
"expertise": ["Healthcare", "Energy", "Transport", "Manufacturing"],
"text": "Surface engineering across the length scales"
}
},
{
"item": {
"id": 16,
"sector": 'Engineering',
"expertise": ["Pharmaceuticals", "Manufacturing"],
"text": "Chemical and process engineering from molecule to product"
}
},
{
"item": {
"id": 17,
"sector": 'Engineering',
"expertise": ["Pharmaceuticals"],
"text": "Bionanotechnology for disease diagnosis, treatment and prevention"
}
},
{
"item": {
"id": 18,
"sector": 'Engineering',
"expertise": ["Healthcare", "Pharmaceuticals", "Electronics", "Manufacturing"],
"text": "Engineering materials at the atomic level"
}
},
{
"item": {
"id": 19,
"sector": 'Environment',
"expertise": ["Healthcare", "Environment & Food"],
"text": "Addressing global challenges in food security"
}
},
{
"item": {
"id": 20,
"sector": 'Environment',
"expertise": ["Healthcare", "Environment & Food"],
"text": "Interdisciplinary approaches to tackling major water issues"
}
},
{
"item": {
"id": 21,
"sector": 'Environment',
"expertise": ["Cities"],
"text": "Designing cities of the future"
}
},
{
"item": {
"id": 22,
"sector": 'Environment',
"expertise": ["Transport", "Cities"],
"text": "Europe’s leading city simulation capability"
}
},
{
"item": {
"id": 23,
"sector": 'Environment',
"expertise": ["Environment & Food"],
"text": "Robust and timely climate solutions"
}
}
];
let expertise;
let res = items.reduce((acc, {
item: {
expertise,
text
}
}) => {
expertise.forEach(x => acc[x] = [...(acc[x] || []), text]);
return acc;
}, {});
Object.entries(res).forEach(([k, v]) => {
console.log(k + "\n->" + v.join("\n->"));
});您需要为这些行业再设置一个级别：
var items = [{"item": {"id": 0,"sector": 'Data',"expertise": ["Healthcare"],"text": "Data-driven insights to improve healthcare"}},{"item": {"id": 1,"sector": 'Data',"expertise": ["Energy", "Transport", "Cities"],"text": "Urban Analytics"}},{"item": {"id": 2,"sector": 'Data',"expertise": ["Energy", "Transport", "Consumer"],"text": "Understanding patterns of consumer behaviour"}},{"item": {"id": 3,"sector": 'Data',"expertise": ["Healthcare", "Consumer"],"text": "Novel data mining and visualisation"}},{"item": {"id": 4,"sector": 'Data',"expertise": ["Healthcare", "Transport", "Consumer"],"text": "Human-centred augmented and virtual realities"}},{"item": {"id": 5,"sector": 'Healthcare',"expertise": ["Healthcare"],"text": "Medical technology innovation, translation and convergence"}},{"item": {"id": 6,"sector": 'Healthcare',"expertise": ["Healthcare"],"text": "Understanding cardio metabolic disease"}},{"item": {"id": 7,"sector": 'Healthcare',"expertise": ["Healthcare"],"text": "Improving early cancer diagnosis and treatment"}},{"item": {"id": 8,"sector": 'Healthcare',"expertise": ["Healthcare", "Pharmaceuticals"],"text": "Understanding life in molecular detail"}},{"item": {"id": 9,"sector": 'Healthcare',"expertise": ["Healthcare"],"text": "Evidencing treatment through clinical trials"}},{"item": {"id": 10,"sector": 'Engineering',"expertise": ["Energy", "Transport"],"text": "Optimising energy systems"}},{"item": {"id": 11,"sector": 'Engineering',"expertise": ["Energy"],"text": "Enhancing petroleum recovery"}},{"item": {"id": 12,"sector": 'Engineering',"expertise": ["Transport"],"text": "High speed rail and system integration innovation"}},{"item": {"id": 13,"sector": 'Engineering',"expertise": ["Healthcare", "Electronics"],"text": "Terahertz frequency electronic and photonic devices"}},{"item": {"id": 14,"sector": 'Engineering',"expertise": ["Healthcare", "Transport", "Manufacturing"],"text": "Human-centred robotic and autonomous systems"}},{"item": {"id": 15,"sector": 'Engineering',"expertise": ["Healthcare", "Energy", "Transport", "Manufacturing"],"text": "Surface engineering across the length scales"}},{"item": {"id": 16,"sector": 'Engineering',"expertise": ["Pharmaceuticals", "Manufacturing"],"text": "Chemical and process engineering from molecule to product"}},{"item": {"id": 17,"sector": 'Engineering',"expertise": ["Pharmaceuticals"],"text": "Bionanotechnology for disease diagnosis, treatment and prevention"}},{"item": {"id": 18,"sector": 'Engineering',"expertise": ["Healthcare", "Pharmaceuticals", "Electronics", "Manufacturing"],"text": "Engineering materials at the atomic level"}},{"item": {"id": 19,"sector": 'Environment',"expertise": ["Healthcare", "Environment & Food"],"text": "Addressing global challenges in food security"}},{"item": {"id": 20,"sector": 'Environment',"expertise": ["Healthcare", "Environment & Food"],"text": "Interdisciplinary approaches to tackling major water issues"}},{"item": {"id": 21,"sector": 'Environment',"expertise": ["Cities"],"text": "Designing cities of the future"}},{"item": {"id": 22,"sector": 'Environment',"expertise": ["Transport", "Cities"],"text": "Europe’s leading city simulation capability"}},{"item": {"id": 23,"sector": 'Environment',"expertise": ["Environment & Food"],"text": "Robust and timely climate solutions"}}];
const res = items.reduce((acc, {item: {sector, expertise, text}}) => {
expertise.forEach(exp => {
acc[exp] = acc[exp] || {};
acc[exp][sector] = [...(acc[exp][sector] || []), text];
});
return acc;
}, {});
Object.entries(res).forEach(([exp, sectors]) => {
console.log("- " + exp);
Object.entries(sectors).forEach(([sector, texts]) => {
console.log("-- " + sector + "\n--- " + texts.join("\n--- "));
});
});在reduce操作中，sector还会从对象中抓取。就像在原始版本中一样，专业知识被迭代，但是现在该acc对象变成了两个级别的对象，而不仅仅是一个级别。一级属性是专业知识（exp）。如果此类属性尚不存在，它将获取一个空对象作为值：
acc[exp] = acc[exp] || {};
接下来的行很像您已经拥有的行：下一个属性级别由扇区组成，并且对于每个扇区，将维护文本数组。
代码的第二部分采用与您已经拥有的原理相同的原理，但是又增加了一层。首先，对专业知识属性进行迭代。它们具有对象作为值，每个对象都有扇区属性。然后，内部循环又非常像您所拥有的：对于每个扇区，将显示扇区和关联的文本值。
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