From DatetimeIndex to list of times
Just use the below line to convert DateTimeIndex to List:
pd.date_range('1/1/2022', periods = 365, freq ='d').strftime("%Y-%m-%d").tolist()
five_minute_data = five_minute_date_range.strftime("%Y-%m-%d %H:%M:%S").tolist() does return data in the way OP required it to be.
I think you can use DatetimeIndex.strftime:
I try remove some code (in sample is not necessary, maybe in real code is important)
for time in pd.date_range('2016-07-08 00:00:00', '2016-07-08 23:59:00', freq='5Min'):
print (pd.date_range(time, freq='S', periods=60).strftime("%Y-%m-%d %H:%M:%S").tolist())
['2016-07-08 00:00:00', '2016-07-08 00:00:01', '2016-07-08 00:00:02', '2016-07-08 00:00:03', '2016-07-08 00:00:04', '2016-07-08 00:00:05', '2016-07-08 00:00:06', '2016-07-08 00:00:07', '2016-07-08 00:00:08', '2016-07-08 00:00:09', '2016-07-08 00:00:10', '2016-07-08 00:00:11', '2016-07-08 00:00:12', '2016-07-08 00:00:13', '2016-07-08 00:00:14', '2016-07-08 00:00:15', '2016-07-08 00:00:16', '2016-07-08 00:00:17', '2016-07-08 00:00:18', '2016-07-08 00:00:19', '2016-07-08 00:00:20', '2016-07-08 00:00:21', '2016-07-08 00:00:22', '2016-07-08 00:00:23', '2016-07-08 00:00:24', '2016-07-08 00:00:25', '2016-07-08 00:00:26', '2016-07-08 00:00:27', '2016-07-08 00:00:28', '2016-07-08 00:00:29', '2016-07-08 00:00:30', '2016-07-08 00:00:31', '2016-07-08 00:00:32', '2016-07-08 00:00:33', '2016-07-08 00:00:34', '2016-07-08 00:00:35', '2016-07-08 00:00:36', '2016-07-08 00:00:37', '2016-07-08 00:00:38', '2016-07-08 00:00:39', '2016-07-08 00:00:40', '2016-07-08 00:00:41', '2016-07-08 00:00:42', '2016-07-08 00:00:43', '2016-07-08 00:00:44', '2016-07-08 00:00:45', '2016-07-08 00:00:46', '2016-07-08 00:00:47', '2016-07-08 00:00:48', '2016-07-08 00:00:49', '2016-07-08 00:00:50', '2016-07-08 00:00:51', '2016-07-08 00:00:52', '2016-07-08 00:00:53', '2016-07-08 00:00:54', '2016-07-08 00:00:55', '2016-07-08 00:00:56', '2016-07-08 00:00:57', '2016-07-08 00:00:58', '2016-07-08 00:00:59']
['2016-07-08 00:05:00', '2016-07-08 00:05:01', '2016-07-08 00:05:02', '2016-07-08 00:05:03', '2016-07-08 00:05:04', '2016-07-08 00:05:05', '2016-07-08 00:05:06', '2016-07-08 00:05:07', '2016-07-08 00:05:08', '2016-07-08 00:05:09', '2016-07-08 00:05:10', '2016-07-08 00:05:11', '2016-07-08 00:05:12', '2016-07-08 00:05:13', '2016-07-08 00:05:14', '2016-07-08 00:05:15', '2016-07-08 00:05:16', '2016-07-08 00:05:17', '2016-07-08 00:05:18', '2016-07-08 00:05:19', '2016-07-08 00:05:20', '2016-07-08 00:05:21', '2016-07-08 00:05:22', '2016-07-08 00:05:23', '2016-07-08 00:05:24', '2016-07-08 00:05:25', '2016-07-08 00:05:26', '2016-07-08 00:05:27', '2016-07-08 00:05:28', '2016-07-08 00:05:29', '2016-07-08 00:05:30', '2016-07-08 00:05:31', '2016-07-08 00:05:32', '2016-07-08 00:05:33', '2016-07-08 00:05:34', '2016-07-08 00:05:35', '2016-07-08 00:05:36', '2016-07-08 00:05:37', '2016-07-08 00:05:38', '2016-07-08 00:05:39', '2016-07-08 00:05:40', '2016-07-08 00:05:41', '2016-07-08 00:05:42', '2016-07-08 00:05:43', '2016-07-08 00:05:44', '2016-07-08 00:05:45', '2016-07-08 00:05:46', '2016-07-08 00:05:47', '2016-07-08 00:05:48', '2016-07-08 00:05:49', '2016-07-08 00:05:50', '2016-07-08 00:05:51', '2016-07-08 00:05:52', '2016-07-08 00:05:53', '2016-07-08 00:05:54', '2016-07-08 00:05:55', '2016-07-08 00:05:56', '2016-07-08 00:05:57', '2016-07-08 00:05:58', '2016-07-08 00:05:59']
...
...
If need output as nested lists append data in loop to L:
import pandas as pd
L = []
for time in pd.date_range('2016-07-08 00:00:00', '2016-07-08 23:59:00', freq='5Min'):
print (pd.date_range(time, freq='S', periods=60).strftime("%Y-%m-%d %H:%M:%S").tolist())
L.append(pd.date_range(time, freq='S', periods=60).strftime("%Y-%m-%d %H:%M:%S").tolist())
print (L)
[['2016-07-08 00:00:00', '2016-07-08 00:00:01', '2016-07-08 00:00:02', '2016-07-08 00:00:03', '2016-07-08 00:00:04', '2016-07-08 00:00:05', '2016-07-08 00:00:06', '2016-07-08 00:00:07', '2016-07-08 00:00:08', '2016-07-08 00:00:09', '2016-07-08 00:00:10', '2016-07-08 00:00:11', '2016-07-08 00:00:12', '2016-07-08 00:00:13', '2016-07-08 00:00:14', '2016-07-08 00:00:15', '2016-07-08 00:00:16', '2016-07-08 00:00:17', '2016-07-08 00:00:18', '2016-07-08 00:00:19', '2016-07-08 00:00:20', '2016-07-08 00:00:21', '2016-07-08 00:00:22', '2016-07-08 00:00:23', '2016-07-08 00:00:24', '2016-07-08 00:00:25', '2016-07-08 00:00:26', '2016-07-08 00:00:27', '2016-07-08 00:00:28', '2016-07-08 00:00:29', '2016-07-08 00:00:30', '2016-07-08 00:00:31', '2016-07-08 00:00:32', '2016-07-08 00:00:33', '2016-07-08 00:00:34', '2016-07-08 00:00:35', '2016-07-08 00:00:36', '2016-07-08 00:00:37', '2016-07-08 00:00:38', '2016-07-08 00:00:39', '2016-07-08 00:00:40', '2016-07-08 00:00:41', '2016-07-08 00:00:42', '2016-07-08 00:00:43', '2016-07-08 00:00:44', '2016-07-08 00:00:45', '2016-07-08 00:00:46', '2016-07-08 00:00:47', '2016-07-08 00:00:48', '2016-07-08 00:00:49', '2016-07-08 00:00:50', '2016-07-08 00:00:51', '2016-07-08 00:00:52', '2016-07-08 00:00:53', '2016-07-08 00:00:54', '2016-07-08 00:00:55', '2016-07-08 00:00:56', '2016-07-08 00:00:57', '2016-07-08 00:00:58', '2016-07-08 00:00:59'], ['2016-07-08 00:05:00', '2016-07-08 00:05:01', '2016-07-08 00:05:02', '2016-07-08 00:05:03', '2016-07-08 00:05:04', '2016-07-08 00:05:05', '2016-07-08 00:05:06', '2016-07-08 00:05:07', '2016-07-08 00:05:08', '2016-07-08 00:05:09', '2016-07-08 00:05:10', '2016-07-08 00:05:11', '2016-07-08 00:05:12', '2016-07-08 00:05:13', '2016-07-08 00:05:14', '2016-07-08 00:05:15', '2016-07-08 00:05:16', '2016-07-08 00:05:17', '2016-07-08 00:05:18', '2016-07-08 00:05:19', '2016-07-08 00:05:20', '2016-07-08 00:05:21', '2016-07-08 00:05:22', '2016-07-08 00:05:23', '2016-07-08 00:05:24', '2016-07-08 00:05:25', '2016-07-08 00:05:26', '2016-07-08 00:05:27', '2016-07-08 00:05:28', '2016-07-08 00:05:29', '2016-07-08 00:05:30', '2016-07-08 00:05:31', '2016-07-08 00:05:32', '2016-07-08 00:05:33', '2016-07-08 00:05:34', '2016-07-08 00:05:35', '2016-07-08 00:05:36', '2016-07-08 00:05:37', '2016-07-08 00:05:38', '2016-07-08 00:05:39', '2016-07-08 00:05:40', '2016-07-08 00:05:41', '2016-07-08 00:05:42', '2016-07-08 00:05:43', '2016-07-08 00:05:44', '2016-07-08 00:05:45', '2016-07-08 00:05:46', '2016-07-08 00:05:47', '2016-07-08...