python - Unable to get proper timestamp ranges -

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I hope to generate many limitations in between:

18:00 (EST ) With the interval size of 2.2 seconds

and 400 seconds later on October 6, 2014.

Getting start and end dates:

When I do the following: 

  start_time = datetime.datetime (year = 2014, month = 10 , = 6, hours = 18, tzinfo = pytz.timezone ('US / Eastern')) end_time = start_time + datetime.timedelta (seconds = 400)   
 Some seem unsuccessful:  
     
  •   start_time.isoformat ()  returns  '2014-10-06T18: 06: 40-04: 56'   < Li>  and_times.isoformat ()  returns  '2014-10-06 to 18: 06: 40-04: 56'    
     Note that the time zone is offset for the above two time ranges Are:  -04: 56  (4 hours and 56 minutes) Even if EST is behind UTC is  5 hours ? Getting the deadline:  
     On the move, if I try to get many time limits between these two dates then each  2.2 seconds  (I.e.  2200 ms ):  
      ts = pd.date_range (start = start_time, end = end_time, freq = '2200L')   
     I get:  
      & gt; Ts [0] timestamp ('2014-10-06 18: 56: 00-0400', tz = 'US / Eastern', offset = '2200L')   
     Or in other words :  
      & gt; Ts [0] .isoformat () '2014-10-06T18: 56: 00-04: 00'   
     Whatever is not understood (note that time is  18 : 56 , even if I get the range between  18:00  and  18:06:40  (i.e.  400 ) I was tired of tackling Python's odd date time after  18:00  
     
     
     Implementation (especially regarding timezone), and has started using crsmithdev.com/arrow. A solution using this script:  
      import arrow start_time = arrow.get (2014, 10, 6, tzinfo = 'US / Eastern') end_time = start_time.replace (seconds = 400) print start_time.isoformat () print end_time.isoformat () # Optionally start_time = arrow.get ('2014-10-06T18: 00: 00.000- 04:00') end_time = start_time.replace (seconds = 400) print start_time.isoformat () print end_time.isoformat () # from an arrow object Get datetime start_time_dt = start_time.datetime

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