Vertical columns Text file Pyhton

[Joker92]

Hi everybody !!


I was coding using Pandas modules...and i obtained this text file :

Time of acquisition ch1

Output:
['00:15:00', '00:30:00', '00:45:00', '01:00:00', '01:15:00', '01:30:00', '01:45:00', '02:00:00', '02:15:00', '02:30:00', '02:45:00', '03:00:00', '03:15:00', '03:30:00', '03:45:00', '04:00:00', '04:15:00', '04:30:00', '04:45:00', '05:00:00', '05:15:00', '05:30:00', '05:45:00', '06:00:00', '06:15:00', '06:30:00', '06:45:00', '07:00:00', '07:15:00', '07:30:00', '07:45:00', '08:00:00', '08:15:00', '08:30:00', '08:45:00', '09:00:00', '09:15:00', '09:30:00', '09:45:00', '10:00:00', '10:15:00', '10:30:00', '10:45:00', '11:00:00', '11:15:00', '11:30:00', '11:45:00', '12:00:00', '12:15:00', '12:30:00', '12:45:00', '13:00:00', '13:15:00', '13:30:00', '13:45:00', '14:00:00', '14:15:00', '14:30:00', '14:45:00', '15:00:00', '15:15:00', '15:30:00', '15:45:00', '16:00:00', '16:15:00', '16:30:00', '16:45:00', '17:00:00', '17:15:00', '17:30:00', '17:45:00', '18:00:00', '18:15:00', '18:30:00', '18:45:00', '19:00:00', '19:15:00', '19:30:00', '19:45:00', '20:00:00', '20:15:00', '20:30:00', '20:45:00', '21:00:00', '21:15:00', '21:30:00', '21:45:00', '22:00:00', '22:15:00', '22:30:00', '22:45:00', '23:00:00', '23:15:00', '23:30:00', '23:45:00', '00:00:00'] 

[23.05666666666667, 23.24, 22.994999999999997, 22.99, 22.86, 22.97, 22.835, 22.82, 22.75, 23.055, 22.97, 22.85, 22.85, 22.740000000000002, 22.88, 22.775, 22.945, 22.92, 22.79, 22.86, 22.89, 23.04, 22.97666666666667, 23.09, 22.965, nan, 23.21, nan, 22.97, 22.906666666666666, 22.97, nan, 22.85, 22.87, 22.8, 22.97, 22.87, nan, 22.816666666666666, 22.645, 22.849999999999998, 22.78333333333333, nan, 22.833333333333332, 22.86, 22.85, 22.875, 22.9, 22.965, nan, 22.82, 22.82, 22.96, 22.88, 23.02, 22.92, 22.895, nan, 23.03, 22.97, 23.005000000000003, 23.19, 22.746666666666666, 22.98, 22.84, 22.895, 22.85, 22.740000000000002, 22.94333333333334, 22.91, nan, 22.82, 22.96, 22.87, 23.175, 22.9, 22.9, 22.94333333333333, 22.87, nan, 22.945, 22.91, 22.765, 23.14, 23.015, 22.945, 22.8, 22.955, 22.895, 22.875, 22.866666666666664, 23.006666666666664, 23.21, 23.26, 22.896666666666665, nan]

i would like to write every list ( there are 2 lists here ) vertically...i used fonction np.transpose and reshape but it doesn t work...Anyone has any idea ? Im really noob, so i d appreciate a lot if someone can give some idea or anything in order to handle that problem

Thanlks !!!

[nilamo]

Simple, print them :)

>>> things = ['00:15:00', '00:30:00', '00:45:00', '01:00:00', '01:15:00', '01:30:00', '01:45:00', '02:00:00', '02:15:00', '02:30:00', '02:45:00', '03:00:00', '03:15:00', '03:30:00', '03:45:00', '04:00:00', '04:15:00', '04:30:00', '04:45:00', '05:00:00', '05:15:00', '05:30:00', '05:45:00', '06:00:00', '06:15:00', '06:30:00', '06:45:00', '07:00:00', '07:15:00', '07:30:00', '07:45:00', '08:00:00', '08:15:00', '08:30:00', '08:45:00', '09:00:00', '09:15:00', '09:30:00', '09:45:00', '10:00:00', '10:15:00', '10:30:00', '10:45:00', '11:00:00', '11:15:00', '11:30:00', '11:45:00', '12:00:00', '12:15:00', '12:30:00', '12:45:00', '13:00:00', '13:15:00', '13:30:00', '13:45:00', '14:00:00', '14:15:00', '14:30:00', '14:45:00', '15:00:00', '15:15:00', '15:30:00', '15:45:00', '16:00:00', '16:15:00', '16:30:00', '16:45:00', '17:00:00', '17:15:00', '17:30:00', '17:45:00', '18:00:00', '18:15:00', '18:30:00', '18:45:00', '19:00:00', '19:15:00', '19:30:00', '19:45:00', '20:00:00', '20:15:00', '20:30:00', '20:45:00', '21:00:00', '21:15:00', '21:30:00', '21:45:00', '22:00:00', '22:15:00', '22:30:00', '22:45:00', '23:00:00', '23:15:00', '23:30:00', '23:45:00', '00:00:00']
>>> things
['00:15:00', '00:30:00', '00:45:00', '01:00:00', '01:15:00', '01:30:00', '01:45:00', '02:00:00', '02:15:00', '02:30:00', '02:45:00', '03:00:00', '03:15:00', '03:30:00', '03:45:00', '04:00:00', '04:15:00', '04:30:00', '04:45:00', '05:00:00', '05:15:00', '05:30:00', '05:45:00', '06:00:00', '06:15:00', '06:30:00', '06:45:00', '07:00:00', '07:15:00', '07:30:00', '07:45:00', '08:00:00', '08:15:00', '08:30:00', '08:45:00', '09:00:00', '09:15:00', '09:30:00', '09:45:00', '10:00:00', '10:15:00', '10:30:00', '10:45:00', '11:00:00', '11:15:00', '11:30:00', '11:45:00', '12:00:00', '12:15:00', '12:30:00', '12:45:00', '13:00:00', '13:15:00', '13:30:00', '13:45:00', '14:00:00', '14:15:00', '14:30:00', '14:45:00', '15:00:00', '15:15:00', '15:30:00', '15:45:00', '16:00:00', '16:15:00', '16:30:00', '16:45:00', '17:00:00', '17:15:00', '17:30:00', '17:45:00', '18:00:00', '18:15:00', '18:30:00', '18:45:00', '19:00:00', '19:15:00', '19:30:00', '19:45:00', '20:00:00', '20:15:00', '20:30:00', '20:45:00', '21:00:00', '21:15:00', '21:30:00', '21:45:00', '22:00:00', '22:15:00', '22:30:00', '22:45:00', '23:00:00', '23:15:00', '23:30:00', '23:45:00', '00:00:00']
>>> print(things)
['00:15:00', '00:30:00', '00:45:00', '01:00:00', '01:15:00', '01:30:00', '01:45:00', '02:00:00', '02:15:00', '02:30:00', '02:45:00', '03:00:00', '03:15:00', '03:30:00', '03:45:00', '04:00:00', '04:15:00', '04:30:00', '04:45:00', '05:00:00', '05:15:00', '05:30:00', '05:45:00', '06:00:00', '06:15:00', '06:30:00', '06:45:00', '07:00:00', '07:15:00', '07:30:00', '07:45:00', '08:00:00', '08:15:00', '08:30:00', '08:45:00', '09:00:00', '09:15:00', '09:30:00', '09:45:00', '10:00:00', '10:15:00', '10:30:00', '10:45:00', '11:00:00', '11:15:00', '11:30:00', '11:45:00', '12:00:00', '12:15:00', '12:30:00', '12:45:00', '13:00:00', '13:15:00', '13:30:00', '13:45:00', '14:00:00', '14:15:00', '14:30:00', '14:45:00', '15:00:00', '15:15:00', '15:30:00', '15:45:00', '16:00:00', '16:15:00', '16:30:00', '16:45:00', '17:00:00', '17:15:00', '17:30:00', '17:45:00', '18:00:00', '18:15:00', '18:30:00', '18:45:00', '19:00:00', '19:15:00', '19:30:00', '19:45:00', '20:00:00', '20:15:00', '20:30:00', '20:45:00', '21:00:00', '21:15:00', '21:30:00', '21:45:00', '22:00:00', '22:15:00', '22:30:00', '22:45:00', '23:00:00', '23:15:00', '23:30:00', '23:45:00', '00:00:00']
>>>
>>>
>>> for thing in things:
...   print(thing)
...
00:15:00
00:30:00
00:45:00
01:00:00
01:15:00
01:30:00
01:45:00
02:00:00
02:15:00
02:30:00
02:45:00
03:00:00
03:15:00
03:30:00
03:45:00
04:00:00
04:15:00
04:30:00
04:45:00
05:00:00
05:15:00
05:30:00
05:45:00
06:00:00
06:15:00
06:30:00
06:45:00
07:00:00
07:15:00
07:30:00
07:45:00
08:00:00
08:15:00
08:30:00
08:45:00
09:00:00
09:15:00
09:30:00
09:45:00
10:00:00
10:15:00
10:30:00
10:45:00
11:00:00
11:15:00
11:30:00
11:45:00
12:00:00
12:15:00
12:30:00
12:45:00
13:00:00
13:15:00
13:30:00
13:45:00
14:00:00
14:15:00
14:30:00
14:45:00
15:00:00
15:15:00
15:30:00
15:45:00
16:00:00
16:15:00
16:30:00
16:45:00
17:00:00
17:15:00
17:30:00
17:45:00
18:00:00
18:15:00
18:30:00
18:45:00
19:00:00
19:15:00
19:30:00
19:45:00
20:00:00
20:15:00
20:30:00
20:45:00
21:00:00
21:15:00
21:30:00
21:45:00
22:00:00
22:15:00
22:30:00
22:45:00
23:00:00
23:15:00
23:30:00
23:45:00
00:00:00
>>>