I am trying to generate time interval array. for example:
time_array = [\"2016-09-02T17:30:00Z\", \"2016-09-02T17:45:00Z\",
\"2016-09-02T18:00
Here is a Pandas solution:
import pandas as pd
l = (pd.DataFrame(columns=['NULL'],
index=pd.date_range('2016-09-02T17:30:00Z', '2016-09-04T21:00:00Z',
freq='15T'))
.between_time('07:00','21:00')
.index.strftime('%Y-%m-%dT%H:%M:%SZ')
.tolist()
)
Output:
In [165]: l
Out[165]:
['2016-09-02T17:30:00Z',
'2016-09-02T17:45:00Z',
'2016-09-02T18:00:00Z',
'2016-09-02T18:15:00Z',
'2016-09-02T18:30:00Z',
'2016-09-02T18:45:00Z',
'2016-09-02T19:00:00Z',
'2016-09-02T19:15:00Z',
'2016-09-02T19:30:00Z',
'2016-09-02T19:45:00Z',
'2016-09-02T20:00:00Z',
'2016-09-02T20:15:00Z',
'2016-09-02T20:30:00Z',
'2016-09-02T20:45:00Z',
'2016-09-02T21:00:00Z',
'2016-09-03T07:00:00Z',
'2016-09-03T07:15:00Z',
'2016-09-03T07:30:00Z',
'2016-09-03T07:45:00Z',
'2016-09-03T08:00:00Z',
'2016-09-03T08:15:00Z',
'2016-09-03T08:30:00Z',
'2016-09-03T08:45:00Z',
'2016-09-03T09:00:00Z',
'2016-09-03T09:15:00Z',
'2016-09-03T09:30:00Z',
'2016-09-03T09:45:00Z',
'2016-09-03T10:00:00Z',
'2016-09-03T10:15:00Z',
'2016-09-03T10:30:00Z',
'2016-09-03T10:45:00Z',
'2016-09-03T11:00:00Z',
'2016-09-03T11:15:00Z',
'2016-09-03T11:30:00Z',
'2016-09-03T11:45:00Z',
'2016-09-03T12:00:00Z',
'2016-09-03T12:15:00Z',
'2016-09-03T12:30:00Z',
'2016-09-03T12:45:00Z',
'2016-09-03T13:00:00Z',
'2016-09-03T13:15:00Z',
'2016-09-03T13:30:00Z',
'2016-09-03T13:45:00Z',
'2016-09-03T14:00:00Z',
'2016-09-03T14:15:00Z',
'2016-09-03T14:30:00Z',
'2016-09-03T14:45:00Z',
'2016-09-03T15:00:00Z',
'2016-09-03T15:15:00Z',
'2016-09-03T15:30:00Z',
'2016-09-03T15:45:00Z',
'2016-09-03T16:00:00Z',
'2016-09-03T16:15:00Z',
'2016-09-03T16:30:00Z',
'2016-09-03T16:45:00Z',
'2016-09-03T17:00:00Z',
'2016-09-03T17:15:00Z',
'2016-09-03T17:30:00Z',
'2016-09-03T17:45:00Z',
'2016-09-03T18:00:00Z',
'2016-09-03T18:15:00Z',
'2016-09-03T18:30:00Z',
'2016-09-03T18:45:00Z',
'2016-09-03T19:00:00Z',
'2016-09-03T19:15:00Z',
'2016-09-03T19:30:00Z',
'2016-09-03T19:45:00Z',
'2016-09-03T20:00:00Z',
'2016-09-03T20:15:00Z',
'2016-09-03T20:30:00Z',
'2016-09-03T20:45:00Z',
'2016-09-03T21:00:00Z',
'2016-09-04T07:00:00Z',
'2016-09-04T07:15:00Z',
'2016-09-04T07:30:00Z',
'2016-09-04T07:45:00Z',
'2016-09-04T08:00:00Z',
'2016-09-04T08:15:00Z',
'2016-09-04T08:30:00Z',
'2016-09-04T08:45:00Z',
'2016-09-04T09:00:00Z',
'2016-09-04T09:15:00Z',
'2016-09-04T09:30:00Z',
'2016-09-04T09:45:00Z',
'2016-09-04T10:00:00Z',
'2016-09-04T10:15:00Z',
'2016-09-04T10:30:00Z',
'2016-09-04T10:45:00Z',
'2016-09-04T11:00:00Z',
'2016-09-04T11:15:00Z',
'2016-09-04T11:30:00Z',
'2016-09-04T11:45:00Z',
'2016-09-04T12:00:00Z',
'2016-09-04T12:15:00Z',
'2016-09-04T12:30:00Z',
'2016-09-04T12:45:00Z',
'2016-09-04T13:00:00Z',
'2016-09-04T13:15:00Z',
'2016-09-04T13:30:00Z',
'2016-09-04T13:45:00Z',
'2016-09-04T14:00:00Z',
'2016-09-04T14:15:00Z',
'2016-09-04T14:30:00Z',
'2016-09-04T14:45:00Z',
'2016-09-04T15:00:00Z',
'2016-09-04T15:15:00Z',
'2016-09-04T15:30:00Z',
'2016-09-04T15:45:00Z',
'2016-09-04T16:00:00Z',
'2016-09-04T16:15:00Z',
'2016-09-04T16:30:00Z',
'2016-09-04T16:45:00Z',
'2016-09-04T17:00:00Z',
'2016-09-04T17:15:00Z',
'2016-09-04T17:30:00Z',
'2016-09-04T17:45:00Z',
'2016-09-04T18:00:00Z',
'2016-09-04T18:15:00Z',
'2016-09-04T18:30:00Z',
'2016-09-04T18:45:00Z',
'2016-09-04T19:00:00Z',
'2016-09-04T19:15:00Z',
'2016-09-04T19:30:00Z',
'2016-09-04T19:45:00Z',
'2016-09-04T20:00:00Z',
'2016-09-04T20:15:00Z',
'2016-09-04T20:30:00Z',
'2016-09-04T20:45:00Z',
'2016-09-04T21:00:00Z']