Python generate dates series

How can i generate array with dates like this:

Timestamps in javascript miliseconds format from 2010.12.01 00:00:00 to 2010.12.12.30 23.59.59 with step 5 minutes.

['2010.12.01 00:00:00', '2010.12.01 00:05:00','2010.12.01 00:10:00','2010.12.01 00:15:00', ...] 

3 Answers

I just felt that it might be worthwhile to note that pandas also has this functionality. Depending on what case you are dealing with exactly, pandas might be a worthy tool to invest time in.

import pandas as pd times = pd.date_range('2012-10-01', periods=289, freq='5min') 

This returns a pandas timeseries-index. Which can be converted to numpy arrays.

np.array(times) 

Well, obviously you start at the start time, loop until you reach the end time and increment inbetween.

import datetime dt = datetime.datetime(2010, 12, 1) end = datetime.datetime(2010, 12, 30, 23, 59, 59) step = datetime.timedelta(seconds=5) result = [] while dt < end: result.append(dt.strftime('%Y-%m-%d %H:%M:%S')) dt += step 

Fairly trivial.

this is my variant for python3, but it's easy could be converted into python2.6 code:

import datetime as dt dt1 = dt.datetime(2010, 12, 1) dt2 = dt.datetime(2010, 12, 12, 23, 59, 59) time_step = 5 # secoonds delta = dt2 - dt1 delta_sec = delta.days * 24 * 60 * 60 + delta.seconds res = [dt1 + dt.timedelta(0, t) for t in range(0, delta_sec, time_step)]