我基本上知道答案,气温是一条嘈杂的时间序列,所以如果你在一下相对较短的时间跨度里挑选数据,你可以得到任何你想要的结果。
I basically know the answer: temperature is a noisy time series, so if you pick and choose your dates over a short time span you can usually make whatever case you want.
了解特定的时刻或是某个局部时间片段将非常有用,但是如果能够表达一段时间跨度的话,通常也很有用。
Knowing about a particular instant or partial time snippet can be useful, but it's also often useful to be able to express spans of time.
可以在以下情况使用Interval:需要表示在时间连续区间中以特定的点开始和结束的一段时间跨度。
You use an Interval when it is important to express a span of time that begins and ends with definite points in the time continuum.
There you see continuity for a very, very long time.
在那里你可以发现时间跨度有很长的连续性
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