Python pandas date_range 分别分配给每一天的采样

Question

我想在特定日期之间创建日期范围，每天进行一定的抽样，但每一天都应该从午夜开始：

['2017-01-01 00:00:00', '2017-01-01 05:00:00','2017-01-01 10:00:00', '2017-01-01 15:00:00', '2017-01-01 20:00:00', '2017-01-02 00:00:00', '2017-01-02 05:00:00' ...]

当然，默认情况下 pd.date_range(date1,date2,freq='5H') 给出 output：

['2017-01-01 00:00:00', '2017-01-01 05:00:00', '2017-01-01 10:00:00', '2017-01-01 15:00:00', '2017-01-01 20:00:00', '2017-01-02 01:00:00', '2017-01-02 06:00:00', ..]

知道如何处理这个问题吗？ 谢谢！

Answer 1

创建小时范围，然后在索引中按小时对模 5 进行过滤：

date1= '2017-01-01'
date2= '2017-01-04'

r =  pd.date_range(date1,date2,freq='H')
r = r[r.hour % 5 == 0]
print (r)
DatetimeIndex(['2017-01-01 00:00:00', '2017-01-01 05:00:00',
               '2017-01-01 10:00:00', '2017-01-01 15:00:00',
               '2017-01-01 20:00:00', '2017-01-02 00:00:00',
               '2017-01-02 05:00:00', '2017-01-02 10:00:00',
               '2017-01-02 15:00:00', '2017-01-02 20:00:00',
               '2017-01-03 00:00:00', '2017-01-03 05:00:00',
               '2017-01-03 10:00:00', '2017-01-03 15:00:00',
               '2017-01-03 20:00:00', '2017-01-04 00:00:00'],
              dtype='datetime64[ns]', freq=None)