问题描述
我有一系列datetime对象，并希望计算它们之间的平均增量。
I have a series of datetime objects and would like to calculate the average delta between them.
例如，如果输入的是（2008-10-01 12点15分零零秒，2008-10-01 12:25:00，2008-10-01 12:35:00） ，那么平均增量会完全00:10:00，或10分钟。
For example, if the input was (2008-10-01 12:15:00, 2008-10-01 12:25:00, 2008-10-01 12:35:00), then the average delta would be exactly 00:10:00, or 10 minutes.
如何计算这个使用Python有什么建议？
Any suggestions on how to calculate this using Python?
推荐答案
您可以减去前一个每个连续的日期（导致其重新$ P $一个timedelta对象psents天，秒之差）。然后，您可以平均的timedelta对象找到答案。
You can subtract each successive date from the one prior (resulting in a timedelta object which represents the difference in days, seconds). You can then average the timedelta objects to find your answer.
这篇关于日期在Python之间的平均差异的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持！