问题描述
我一直在 pandas 中使用 TimeSeries 的 between_time 方法，它返回指定时间之间的所有值，而不管它们的日期.
I have been using the between_time method of TimeSeries in pandas, which returns all values between the specified times, regardless of their date.
但我需要选择两个日期和时间，因为我的时间序列结构包含多个日期.
But I need to select both date and time, because my timeseries structure contains multiple dates.
解决这个问题的一种方法虽然很不灵活，但只是迭代值并删除那些不相关的值.
One way of solving this, though quite inflexible, is just iterate over the values and remove those which are not relevant.
有没有更优雅的方式来做到这一点?
Is there a more elegant way of doing this ?
推荐答案
可以先选择感兴趣的日期，然后使用between_time.例如，假设您有一个 72 小时的时间序列:
You can select the dates that are of interest first, and then use between_time. For example, suppose you have a time series of 72 hours:
import pandas as pd
from numpy.random import randn
rng = pd.date_range('1/1/2013', periods=72, freq='H')
ts = pd.Series(randn(len(rng)), index=rng)
选择 20:00 和1月2日和3日22:00你可以简单地做:
To select the between 20:00 & 22:00 on the 2nd and 3rd of January you can simply do:
ts['2013-01-02':'2013-01-03'].between_time('20:00', '22:00')
给你这样的东西:
2013-01-02 20:00:00 0.144399
2013-01-02 21:00:00 0.886806
2013-01-02 22:00:00 0.126844
2013-01-03 20:00:00 -0.464741
2013-01-03 21:00:00 1.856746
2013-01-03 22:00:00 -0.286726
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