如果今天是2018-11-28,我有一个像这样的对象数组:
const dataset = [
{
"timestamp": "2018-11-28T16:38:07.610Z",
"value": 751.998557581834
},
{
"timestamp": "2018-11-27T16:38:07.610Z",
"value": 644.9987628195244
},
{
"timestamp": "2018-11-26T16:38:07.610Z",
"value": 766.9985288101943
},
{
"timestamp": "2018-11-25T16:38:07.610Z",
"value": 953.9981701237627
},
{
"timestamp": "2018-11-24T16:38:07.610Z",
"value": 912.9982487662423
},
{
"timestamp": "2018-11-23T16:38:07.610Z",
"value": 402
},
{
"timestamp": "2018-11-22T16:38:07.610Z",
"value": 914.9982449300243
},
{
"timestamp": "2018-11-21T16:38:07.610Z",
"value": 769.9985230558668
},
{
"timestamp": "2018-11-20T16:38:07.610Z",
"value": 772.9985173015398
},
{
"timestamp": "2018-11-19T16:38:07.610Z",
"value": 176
},
{
"timestamp": "2018-11-18T16:38:07.610Z",
"value": 978.9981221710306
},
{
"timestamp": "2018-11-17T16:38:07.611Z",
"value": 342
},
{
"timestamp": "2018-11-16T16:38:07.611Z",
"value": 498.9990428634777
},
{
"timestamp": "2018-11-15T16:38:07.611Z",
"value": 326
},
{
"timestamp": "2018-11-14T16:38:07.612Z",
"value": 649.9987532289786
},
{
"timestamp": "2018-11-13T16:38:07.612Z",
"value": 70
},
{
"timestamp": "2018-11-12T16:38:07.612Z",
"value": 349
},
{
"timestamp": "2018-11-11T16:38:07.612Z",
"value": 191
},
{
"timestamp": "2018-11-10T16:38:07.612Z",
"value": 154
},
{
"timestamp": "2018-11-09T16:38:07.613Z",
"value": 109
},
{
"timestamp": "2018-11-08T16:38:07.613Z",
"value": 237
},
{
"timestamp": "2018-11-07T16:38:07.613Z",
"value": 398
},
{
"timestamp": "2018-11-06T16:38:07.613Z",
"value": 606.9988357076774
},
{
"timestamp": "2018-11-05T16:38:07.614Z",
"value": 131
},
{
"timestamp": "2018-11-04T16:38:07.614Z",
"value": 397
},
{
"timestamp": "2018-11-03T16:38:07.614Z",
"value": 583.9988798241893
},
{
"timestamp": "2018-11-02T16:38:07.614Z",
"value": 362
},
{
"timestamp": "2018-11-01T16:38:07.614Z",
"value": 686.998682258936
},
{
"timestamp": "2018-10-31T16:38:07.614Z",
"value": 131
},
{
"timestamp": "2018-10-30T16:38:07.614Z",
"value": 212
}
]
使用以下代码创建对象:
import { DateTime } from 'luxon'
const timestamp = startDate.minus({ days: i }).toJSDate()
return { timestamp: timestamp, value: randomValue }
我想要包含本月第一天的对象,因此,在此示例中,我想要:
{
"timestamp": "2018-11-01T16:38:07.614Z",
"value": 686.998682258936
}
这是我尝试过的:
const date = new Date()
const firstDayOfThisMonth = new Date(date.getFullYear(), date.getMonth(), 1)
const firstDayOfThisMonthSub = firstDayOfThisMonth.toString().substring(0, 15)
const bo = dataset.map((d, i) => {
const sub = d.toString().substring(0, 15)
if (sub === firstDayOfThisMonthSub) return d
})
它不起作用(我得到了undefined
的数组),我希望有一种更聪明的方法可以做到这一点。
我可以使用Javascript Date
对象或Luxon库。
谢谢
答案 0 :(得分:1)
使用luxon:
const firstDayOfThisMonth = DateTime.local().startOf('month')
const firstDayRecord = dataset.find(record => {
return DateTime.fromISO(record.timestamp).hasSame(firstDayOfThisMonth, 'day')
})
这应该可以解决问题
答案 1 :(得分:1)
您有UTC时间戳,但是我不清楚您想要本地的第一天还是UTC的第一天。如果要使用UTC,则可以将每月的第一天作为ISO 8601日期简化为:
let date = new Date().toISOString().slice(0,8) + '01';
请注意,在当地时区的UTC月在月初或月末偏移时,它与本地月会有所不同,具体取决于它是格林威治的东边还是西边。然后,您可以使用 filter 获取匹配的元素,例如
var data =
[{"timestamp": "2018-11-02T16:38:07.614Z","value": 362},
{"timestamp": "2018-11-01T16:38:07.614Z","value": 686.998},
{"timestamp": "2018-10-31T16:38:07.614Z","value": 131},
{"timestamp": "2018-10-30T16:38:07.614Z","value": 212}];
var s = new Date().toISOString().slice(0,8) + '01';
var d = data.filter(o => o.timestamp.slice(0,10) == s);
console.log(d);
但是,如果要查找本月本地第一天的时间戳,则应将时间戳转换为日期,并与本月本地第一天的开始和结束进行比较。
var data =
[{"timestamp": "2018-11-02T16:38:07.614Z","value": 362},
{"timestamp": "2018-11-01T16:38:07.614Z","value": 686.998},
{"timestamp": "2018-10-31T16:38:07.614Z","value": 131},
{"timestamp": "2018-10-30T16:38:07.614Z","value": 212}];
var d = new Date();
d.setDate(1);
let firstOfMonthStart = d.setHours(0,0,0,0);
let firstOfMonthEnd = d.setHours(23,59,59,999);
let t = data.filter(o => {
let d = new Date(o.timestamp);
return d >= firstOfMonthStart && d <= firstOfMonthEnd;
});
console.log(t);
请注意, firstOfMonthStart 和 firstOfMonthEnd 将是时间值,而不是日期,但是比较有效,因为<
和>
将值强制为数字,因此比较的工作方式就好像它们是日期一样。
对于本地时区为+10:00的用户,2018年11月返回的数组为:
[{timestamp: "2018-10-31T16:38:07.614Z", value: 131}]
因为他们的本地月开始时间是2018-10-31T14:00:00Z。
答案 2 :(得分:0)
map()
不是正确的工具。即使原始数组为undefined
,它也会为您提供每个数组的值。要获取数组的子集,请使用filter()
。
因为这些都是不错的ISO 8601日期字符串。您可以构建日期字符串(例如“ 2018-11-01”),并根据数据是否以日期开头进行过滤:
let a = [ {"timestamp": "2018-11-28T16:38:07.610Z","value": 751.998557581834},{"timestamp": "2018-11-27T16:38:07.610Z","value": 644.9987628195244},{"timestamp": "2018-11-26T16:38:07.610Z","value": 766.9985288101943},{"timestamp": "2018-11-25T16:38:07.610Z","value": 953.9981701237627},{"timestamp": "2018-11-24T16:38:07.610Z","value": 912.9982487662423},{"timestamp": "2018-11-23T16:38:07.610Z","value": 402},{"timestamp": "2018-11-22T16:38:07.610Z","value": 914.9982449300243},{"timestamp": "2018-11-21T16:38:07.610Z","value": 769.9985230558668},{"timestamp": "2018-11-20T16:38:07.610Z","value": 772.9985173015398},{"timestamp": "2018-11-19T16:38:07.610Z","value": 176},{"timestamp": "2018-11-18T16:38:07.610Z","value": 978.9981221710306},{"timestamp": "2018-11-17T16:38:07.611Z","value": 342},{"timestamp": "2018-11-16T16:38:07.611Z","value": 498.9990428634777},{"timestamp": "2018-11-15T16:38:07.611Z","value": 326},{"timestamp": "2018-11-14T16:38:07.612Z","value": 649.9987532289786},{"timestamp": "2018-11-13T16:38:07.612Z","value": 70},{"timestamp": "2018-11-12T16:38:07.612Z","value": 349},{"timestamp": "2018-11-11T16:38:07.612Z","value": 191},{"timestamp": "2018-11-10T16:38:07.612Z","value": 154},{"timestamp": "2018-11-09T16:38:07.613Z","value": 109},{"timestamp": "2018-11-08T16:38:07.613Z","value": 237},{"timestamp": "2018-11-07T16:38:07.613Z","value": 398},{"timestamp": "2018-11-06T16:38:07.613Z","value": 606.9988357076774},{"timestamp": "2018-11-05T16:38:07.614Z","value": 131},{"timestamp": "2018-11-04T16:38:07.614Z","value": 397},{"timestamp": "2018-11-03T16:38:07.614Z","value": 583.9988798241893},{"timestamp": "2018-11-02T16:38:07.614Z","value": 362},{"timestamp": "2018-11-01T16:38:07.614Z","value": 686.998682258936},{"timestamp": "2018-10-31T16:38:07.614Z","value": 131},{"timestamp": "2018-10-30T16:38:07.614Z","value": 212}]
let now = new Date()
// start of month is always 01
// month is zero indexed
let pattern = `${now.getUTCFullYear()}-${now.getUTCMonth()+1}-01`
let filtered = a.filter(item => item.timestamp.startsWith(pattern))
console.log(filtered)