Generating all dates within a given range in python

I have two string variables which contain dates in yyyy-mm-dd format as follows :

date1 = '2011-05-03'
date2 = '2011-05-10'

I want to write code that generates all dates in the range date1 to date2. How can this be done in Python?

---

Dates can be compared to each other just like numbers, and you can do date-related math with the datetime.timedelta object. There's no reason to use dateutil here, and there's no reason to hard-code the number of iterations a la 'range(9)'. This really becomes similar to how you'd deal with plain old numbers.

>>> import datetime
>>> date1 = '2011-05-03'
>>> date2 = '2011-05-10'
>>> start = datetime.datetime.strptime(date1, '%Y-%m-%d')
>>> end = datetime.datetime.strptime(date2, '%Y-%m-%d')
>>> step = datetime.timedelta(days=1)
>>> while start <= end:
...     print start.date()
...     start += step
... 
2011-05-03
2011-05-04
2011-05-05
2011-05-06
2011-05-07
2011-05-08
2011-05-09
2011-05-10
>>> 

---

from dateutil import rrule, parser

date1 = '2011-05-03'
date2 = '2011-05-10'

dates = list(rrule.rrule(rrule.DAILY,
                         dtstart=parser.parse(date1),
                         until=parser.parse(date2)))

print dates

Since dateutil is not a standard library, you will have to install it as a separate package. See the documentation for further details regarding the format (especially dayfirst and yearfirst switches).

---

Pandas is great for time series in general, and has direct support both for date ranges and date parsing (it's automagic).

import pandas as pd
date1 = '2011-05-03'
date2 = '2011-05-10'
mydates = pd.date_range(date1, date2).tolist()

It also has lots of options to make life easier. For example if you only wanted weekdays, you would just swap in bdate_range .

See http://pandas.pydata.org/pandas-docs/stable/timeseries.html#generating-ranges-of-timestamps

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