I have the following code to do this, but how can I do it better? Right now I think it's better than nested loops, but it starts to get Perl-one-linerish when you have a generator in a list comprehension.
day_count = (end_date - start_date).days + 1 for single_date in [d for d in (start_date + timedelta(n) for n in range(day_count)) if d <= end_date]: print strftime("%Y-%m-%d", single_date.timetuple())
datetime.dateobjects because I don't need the timestamps. (They're going to be used to generate a report).
For a start date of
2009-05-30 and an end date of
2009-05-30 2009-05-31 2009-06-01 2009-06-02 2009-06-03 2009-06-04 2009-06-05 2009-06-06 2009-06-07 2009-06-08 2009-06-09
Why are there two nested iterations? For me it produces the same list of data with only one iteration:
for single_date in (start_date + timedelta(n) for n in range(day_count)): print ...
And no list gets stored, only one generator is iterated over. Also the "if" in the generator seems to be unnecessary.
After all, a linear sequence should only require one iterator, not two.
Maybe the most elegant solution is using a generator function to completely hide/abstract the iteration over the range of dates:
from datetime import timedelta, date def daterange(start_date, end_date): for n in range(int ((end_date - start_date).days)): yield start_date + timedelta(n) start_date = date(2013, 1, 1) end_date = date(2015, 6, 2) for single_date in daterange(start_date, end_date): print single_date.strftime("%Y-%m-%d")
NB: For consistency with the built-in
range() function this iteration stops before reaching the
end_date. So for inclusive iteration use the next day, as you would with
This might be more clear:
from datetime import date, timedelta start_date = date(2019, 1, 1) end_date = date(2020, 1, 1) delta = timedelta(days=1) while start_date <= end_date: print (start_date.strftime("%Y-%m-%d")) start_date += delta