How to spread Time value with Date pair using Pandas - python-3.x

Question

I am trying to figure out how to spread the time value in the date value. My Date value looks like this:
date_list = ['2017-01-07',
'2017-01-08',
'2017-01-04',
'2017-01-05',
'2017-01-03',
'2017-01-04'
.... ]
Here, as you can see the date are in somewhat pair format in order. For Example:
'2017-01-07' and '2017-01-08' or '2017-01-04' and '2017-01-05' etcs...
Basically, every two date pair value are one day apart.
I also have a time value:
time_list = [
datetime.time(23, 0),
datetime.time(0, 0),
datetime.time(1, 0),
.... ]
What I am looking to do is to spread the time from 23 to 1 or basically form 11 PM to 1 AM with the two pair date '2017-01-07' and '2017-01-08' or '2017-01-04' and '2017-01-05' etcs... by preserving the original order of date_list with corresponding time_list
So the new df will look like this:
DateTimeList
2017-01-07 23:00:00
2017-01-08 00:00:00
2017-01-08 01:00:00
2017-01-04 23:00:00
2017-01-05 00:00:00
2017-01-05 01:00:00
2017-01-03 23:00:00
2017-01-04 00:00:00
2017-01-04 01:00:00
What did I do?
I put the time in between using:
time = df.between_time('23:00:00','01:00:00')
and then time[time.index.normalize().isin(date_list)]
however, this does not work because it does not spread the time_list after midnight on two date pair. It spreads the entire time from 22 to 01 on a single day. It also sorts the data.
But what I want is to spread the time value into two date pair by preserving the original order of date_list with corresponding time_list. Can you please help solve it?

Answer 1

How about using datetime.datetime.combine() with some modulo logic?
import datetime
def combine_pairs(date_list, time_list):
for i, x in enumerate(date_list):
dt = datetime.date.fromisoformat(x)
if not i % 2:
yield datetime.datetime.combine(dt, time_list[0])
else:
yield datetime.datetime.combine(dt, time_list[1])
yield datetime.datetime.combine(dt, time_list[2])
Demo:
>>> from pprint import pprint
>>> date_list = ['2017-01-07',
... '2017-01-08',
... '2017-01-04',
... '2017-01-05',
... '2017-01-03',
... '2017-01-04',]
>>> time_list = [
... datetime.time(23, 0),
... datetime.time(0, 0),
... datetime.time(1, 0),]
>>> pprint(list(combine_pairs(date_list, time_list)))
[datetime.datetime(2017, 1, 7, 23, 0),
datetime.datetime(2017, 1, 8, 0, 0),
datetime.datetime(2017, 1, 8, 1, 0),
datetime.datetime(2017, 1, 4, 23, 0),
datetime.datetime(2017, 1, 5, 0, 0),
datetime.datetime(2017, 1, 5, 1, 0),
datetime.datetime(2017, 1, 3, 23, 0),
datetime.datetime(2017, 1, 4, 0, 0),
datetime.datetime(2017, 1, 4, 1, 0)]