Python generate dates series

Question

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.

Answer 1

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.

Answer 2

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)

Answer 3

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)]