当前有一系列包含游戏发行版的对象。但是,游戏发行可以在多个平台上进行,并且在阵列中显示为单独的对象。我希望通过比较游戏ID来删除重复的游戏,但合并平台对象
我尝试使用reduce函数,该函数可以通过游戏ID成功删除重复的对象,但是我无法使其适应合并平台
const filteredArr = data.reduce((acc, current) => {
const x = acc.find(item => item.game.id === current.game.id);
if (!x) {
return acc.concat([current]);
} else {
return acc;
}
}, []);
当前数组:
const data = [{
"id": 157283,
"date": 1553212800,
"game": {
"id": 76882,
"name": "Sekiro: Shadows Die Twice",
"popularity": 41.39190295640344
},
"human": "2019-Mar-22",
"m": 3,
"platform": {"id": 48, "name": "PlayStation 4"},
"region": 8,
"y": 2019
}, {
"id": 12,
"date": 1553212800,
"game": {
"id": 76832,
"name": "Spiderman",
"popularity": 41.39190295640344
},
"human": "2019-Mar-22",
"m": 3,
"platform": {"id": 6, "name": "PC (Microsoft Windows)"},
"region": 8,
"y": 2019
}, {
"id": 157283,
"date": 1553212800,
"game": {
"id": 76882,
"name": "Sekiro: Shadows Die Twice",
"popularity": 41.39190295640344
},
"human": "2019-Mar-22",
"m": 3,
"platform": {"id": 48, "name": "Xbox"},
"region": 8,
"y": 2019
}]
合并后的预期格式:
[{
"id": 157283,
"date": 1553212800,
"game": {
"id": 76882,
"name": "Sekiro: Shadows Die Twice",
"popularity": 41.39190295640344
},
"human": "2019-Mar-22",
"m": 3,
"platforms": ["PlayStation", "Xbox"],
"region": 8,
"y": 2019
}, {
"id": 12,
"date": 1553212800,
"game": {
"id": 76832,
"name": "Spiderman",
"popularity": 41.39190295640344
},
"human": "2019-Mar-22",
"m": 3,
"platforms": ["Playstation"],
"region": 8,
"y": 2019
}]
答案 0 :(得分:2)
您真的很亲近,您只需要稍微更改一下逻辑即可。您可以尝试以下操作;一个示例-https://repl.it/@EQuimper/ScaryBumpyCircle
const filteredArr = data.reduce((acc, current) => {
const x = acc.find(item => item.game.id === current.game.id);
if (!x) {
current.platform = [current.platform]
acc.push(current);
} else {
x.platform.push(current.platform);
}
return acc;
}, []);
返回值为
[
{
"id": 157283,
"date": 1553212800,
"game": {
"id": 76882,
"name": "Sekiro: Shadows Die Twice",
"popularity": 41.39190295640344
},
"human": "2019-Mar-22",
"m": 3,
"platform": [
{
"id": 48,
"name": "PlayStation 4"
},
{
"id": 48,
"name": "Xbox"
}
],
"region": 8,
"y": 2019
},
{
"id": 12,
"date": 1553212800,
"game": {
"id": 76832,
"name": "Spiderman",
"popularity": 41.39190295640344
},
"human": "2019-Mar-22",
"m": 3,
"platform": [
{
"id": 6,
"name": "PC (Microsoft Windows)"
}
],
"region": 8,
"y": 2019
}
]
如果您只想拥有一系列平台字符串,请选择
const filteredArr = data.reduce((acc, current) => {
const x = acc.find(item => item.game.id === current.game.id);
if (!x) {
current.platform = [current.platform.name]
acc.push(current);
} else {
x.platform.push(current.platform.name);
}
return acc;
}, []);
现在返回值是
[
{
"id": 157283,
"date": 1553212800,
"game": {
"id": 76882,
"name": "Sekiro: Shadows Die Twice",
"popularity": 41.39190295640344
},
"human": "2019-Mar-22",
"m": 3,
"platform": [
"PlayStation 4",
"Xbox"
],
"region": 8,
"y": 2019
},
{
"id": 12,
"date": 1553212800,
"game": {
"id": 76832,
"name": "Spiderman",
"popularity": 41.39190295640344
},
"human": "2019-Mar-22",
"m": 3,
"platform": [
"PC (Microsoft Windows)"
],
"region": 8,
"y": 2019
}
]
答案 1 :(得分:0)
您可以将对象的platform
分开,看看是否有一个具有相同的id
的对象,然后将数组添加平台,而不创建新的数据集。
const
data = [{ id: 157283, date: 1553212800, game: { id: 76882, name: "Sekiro: Shadows Die Twice", popularity: 41.39190295640344 }, human: "2019-Mar-22", m: 3, platform: { id: 48, name: "PlayStation 4" }, region: 8, y: 2019 }, { id: 12, date: 1553212800, game: { id: 76832, name: "Spiderman", popularity: 41.39190295640344 }, human: "2019-Mar-22", m: 3, platform: { id: 6, name: "PC (Microsoft Windows)" }, region: 8, y: 2019 }, { id: 157283, date: 1553212800, game: { id: 76882, name: "Sekiro: Shadows Die Twice", popularity: 41.39190295640344 }, human: "2019-Mar-22", m: 3, platform: { id: 48, name: "Xbox" }, region: 8, y: 2019 }],
result = data.reduce((r, { platform, ...o }) => {
var temp = r.find(({ id }) => id === o.id);
if (!temp) r.push(temp = { ...o, platforms: [] });
temp.platforms.push(platform);
return r;
}, []);
console.log(result);
.as-console-wrapper { max-height: 100% !important; top: 0; }
答案 2 :(得分:0)
请看看:
const data = [ { "id": 157283,
"date": 1553212800,
"game": {
"id": 76882,
"name": "Sekiro: Shadows Die Twice",
"popularity": 41.39190295640344
},
"human": "2019-Mar-22",
"m": 3,
"platform": {
"id": 48,
"name": "PlayStation 4"
},
"region": 8,
"y": 2019
},
{
"id": 12,
"date": 1553212800,
"game": {
"id": 76832,
"name": "Spiderman",
"popularity": 41.39190295640344
},
"human": "2019-Mar-22",
"m": 3,
"platform": {
"id": 6,
"name": "PC (Microsoft Windows)"
},
"region": 8,
"y": 2019
},{ "id": 157283,
"date": 1553212800,
"game": {
"id": 76882,
"name": "Sekiro: Shadows Die Twice",
"popularity": 41.39190295640344
},
"human": "2019-Mar-22",
"m": 3,
"platform": {
"id": 48,
"name": "Xbox"
},
"region": 8,
"y": 2019
},
]
const filteredArr = data.reduce((acc, current) => {
const x = acc.find(item => item.game.id === current.game.id);
if (!x) {
current.platform = [current.platform.name]
return acc.concat([current]);
} else {
x.platform.push(current.platform.name);
return acc;
}
}, []);
console.log(filteredArr);
答案 3 :(得分:0)
这是另一种解决方案,使用forEach
代替reduce
。这利用了一个查找哈希,该哈希使如果处理大量数据的速度更快,则可以使用find
。
const data = [{"id": 157283, "date": 1553212800, "game": {"id": 76882, "name": "Sekiro: Shadows Die Twice", "popularity": 41.39190295640344}, "human": "2019-Mar-22", "m": 3, "platform": {"id": 48, "name": "PlayStation 4"}, "region": 8, "y": 2019}, {"id": 12, "date": 1553212800, "game": {"id": 76832, "name": "Spiderman", "popularity": 41.39190295640344}, "human": "2019-Mar-22", "m": 3, "platform": {"id": 6, "name": "PC (Microsoft Windows)"}, "region": 8, "y": 2019}, {"id": 157283, "date": 1553212800, "game": {"id": 76882, "name": "Sekiro: Shadows Die Twice", "popularity": 41.39190295640344}, "human": "2019-Mar-22", "m": 3, "platform": {"id": 48, "name": "Xbox"}, "region": 8, "y": 2019}];
let result = {};
data.forEach(({platform, ...release}) => {
release.platforms = [platform.name];
const releaseLookup = result[release.game.id];
if (!releaseLookup) {
result[release.game.id] = release;
} else {
releaseLookup.platforms.push(...release.platforms);
}
});
console.log(Object.values(result));