我有一个需要在React中过滤的时间序列对象数组。
具体来说,我需要基于device_id
的值等于例如返回一个包含对象数组过滤子集的数组。 7F34B296
。
原始数组如下:
[
{
"label": "time_stamp",
"data": [
"2019-04-17 21:01:25.673949957+02:00",
"2019-04-17 21:01:30.673949957+02:00",
"2019-04-17 21:01:35.673949957+02:00",
"2019-04-17 21:01:40.673949957+02:00",
"2019-04-17 21:01:45.673949957+02:00"
]
},
{
"label": "device_id",
"data": [
"7F34B296",
"7F34B296",
"7F34B296",
"AB22438D",
"AB22438D"
]
},
{
"label": "parameter_x",
"data": [
"929.1965116",
"927.5152582",
"928.7476077",
"1919.2691327",
"1918.7047619"
]
}
]
预期的输出数组(过滤后)如下所示:
[
{
"label": "time_stamp",
"data": [
"2019-04-17 21:01:25.673949957+02:00",
"2019-04-17 21:01:30.673949957+02:00",
"2019-04-17 21:01:35.673949957+02:00"
]
},
{
"label": "device_id",
"data": [
"7F34B296",
"7F34B296",
"7F34B296"
]
},
{
"label": "parameter_x",
"data": [
"929.1965116",
"927.5152582",
"928.7476077"
]
}
]
我尝试使用各种方法,包括以下方法-但似乎无法获得所需的结果。我认为我缺少有关如何处理整个对象数组的过滤应取决于对象之一的子集的值的部分。
const filters = [
{
predicateFn: data => data.data == "7F34B296"
}
];
function getFilteredPersons(filters) {
return datasets.filter(p => filters.every(filter => filter.predicateFn(p)));
}
console.log(getFilteredPersons(filters));
答案 0 :(得分:1)
也许尝试将您的数据映射到某种结构,例如:
const joinedData = []
data.map((element) =>
element.data.map((e, i) => joinedData[i] = { [element.label]: e, ...joinedData[i]}))
然后,您将数据转换为形状:
[
{
parameter_x: '929.1965116',
device_id: '7F34B296',
time_stamp: '2019-04-17 21:01:25.673949957+02:00'
},
{
parameter_x: '927.5152582',
device_id: '7F34B296',
time_stamp: '2019-04-17 21:01:30.673949957+02:00'
},
{
parameter_x: '928.7476077',
device_id: '7F34B296',
time_stamp: '2019-04-17 21:01:35.673949957+02:00'
},
{
parameter_x: '1919.2691327',
device_id: 'AB22438D',
time_stamp: '2019-04-17 21:01:40.673949957+02:00'
},
{
parameter_x: '1918.7047619',
device_id: 'AB22438D',
time_stamp: '2019-04-17 21:01:45.673949957+02:00'
}
]
这将更易于过滤
答案 1 :(得分:1)
如果您的数据对象始终以相同的方式构造(每个3个元素在同一位置),那么您可以执行以下操作:
const data = [
{
"label": "time_stamp",
"data": [
"2019-04-17 21:01:25.673949957+02:00",
"2019-04-17 21:01:30.673949957+02:00",
"2019-04-17 21:01:35.673949957+02:00",
"2019-04-17 21:01:40.673949957+02:00",
"2019-04-17 21:01:45.673949957+02:00"
]
},
{
"label": "7F34B296",
"data": [
"7F34B296",
"7F34B296",
"7F34B296",
"AB22438D",
"AB22438D"
]
},
{
"label": "parameter_x",
"data": [
"929.1965116",
"927.5152582",
"928.7476077",
"1919.2691327",
"1918.7047619"
]
}
]
const mainData = data[1];
const deviceId = mainData.label;
const indexes = mainData.data.filter((item) => item === deviceId).map((e, idx, array) => idx);
const result = data.map((value) => {
const filteredData = value.data.filter((item, idx) => {
return indexes.some((e => idx === e));
})
return {
...value,
data: filteredData
}
});
console.log(result)
基本上只是在数组的第二个元素中找到device_id
的索引,然后从device_id
,time_stamp
和parameter_x
data
属性的那些索引中提取值
尽管这可能有效,但我建议您重组数据,因为这是非常复杂的结构。
答案 2 :(得分:0)
We can use forEach method with splice to get desired output.
let arr = [
{
"label": "time_stamp",
"data": [
"2019-04-17 21:01:25.673949957+02:00",
"2019-04-17 21:01:30.673949957+02:00",
"2019-04-17 21:01:35.673949957+02:00",
"2019-04-17 21:01:40.673949957+02:00",
"2019-04-17 21:01:45.673949957+02:00"
]
},
{
"label": "device_id",
"data": [
"7F34B296",
"7F34B296",
"7F34B296",
"AB22438D",
"AB22438D"
]
},
{
"label": "parameter_x",
"data": [
"929.1965116",
"927.5152582",
"928.7476077",
"1919.2691327",
"1918.7047619"
]
}
]
arr.forEach( (val, index) => val.data.splice(3) )
console.log(arr)