我有一个股票价格时间序列。数据并不总是连续的，有些日子会丢失。我想用以前的值填充这些天数。我怎样才能有效地做到这一点？
可能有超过 1000 个市场拥有 1000 多天的数据。每一天都有时间戳和定价的对象。
我想做一些事情，比如获取特定日期每个市场的价格并对其进行排序。
我不确定通过在需要的地方插入时间戳和价格来填补所有缺失的日子是否更好？ (它扩展了内存使用，但可能更快地访问数据——老实说，我不知道这需要多少内存。1000 个市场，1000 天，有 6 个对象键。如果一个数字是 8 个字节，那么大约是 43Mb + 随便什么有对象开销吗？)。
或 尝试返回上一个匹配项，这需要在每个数组中搜索匹配的时间戳。如果我想对每一天的数据都这样做，这似乎很昂贵。
let data = {
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}]
};
data.values.forEach(value => {
let date = new Date(value.time)
console.log(date.toString())
})最佳答案
对此有一个替代解决方案，即数据重新采样。 看看https://content.pivotal.io/blog/time-series-analysis-part-3-resampling-and-interpolation
关于javascript - 用以前的值填充时间序列数据数组 - Javascript，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/49354463/