Gfrktyl

def forward_date_range(start_dt, end_dt, span_days):

    #

    # Generate tuples with intervals from given range of dates (forward)

    #

    # forward_date_range('2012-01-01', '2012-01-5', 2)

    #

    # 1st yield = ('2012-01-01', '2012-01-03')

    # 2nd yield = ('2012-01-04', '2012-01-05')

    start_dt = datetime.datetime.strptime(start_dt, '%Y-%m-%d')

    end_dt   = datetime.datetime.strptime(end_dt, '%Y-%m-%d')

    span     = datetime.timedelta(days=span_days)

    step     = datetime.timedelta(days=1)



    while start_dt + span < end_dt:

        current = start_dt + span

        yield start_dt.strftime('%Y-%m-%d'), current.strftime('%Y-%m-%d')

        start_dt = current + step

    else:

        yield start_dt.strftime('%Y-%m-%d'), end_dt.strftime('%Y-%m-%d')



def backward_date_range(start_dt, end_dt, span_days):

    #

    # Generate tuples with intervals from given range of dates (backward)

    #

    # backward_date_range('2012-01-01', '2012-01-5', 2)

    #

    # 1st yield = ('2012-01-03', '2012-01-05')

    # 2nd yield = ('2012-01-01', '2012-01-02')

    start_dt = datetime.datetime.strptime(start_dt, '%Y-%m-%d')

    end_dt   = datetime.datetime.strptime(end_dt, '%Y-%m-%d')

    span     = datetime.timedelta(days=span_days)

    step     = datetime.timedelta(days=1)



    while end_dt - span > start_dt:

        current = end_dt - span

        yield current.strftime('%Y-%m-%d'), end_dt.strftime('%Y-%m-%d')

        end_dt = current - step

    else:

        yield start_dt.strftime('%Y-%m-%d'), end_dt.strftime('%Y-%m-%d')

This is currently what I have, needless to say it looks ugly. Is there a more elegant solution, especially if it is possible to get rid of the while loop altogether? or maybe compress it into one single line?

I am currently using python3.5

I'm going to assume that the corner cases are what you want, i.e. a date
"range" of a single day is acceptable - otherwise you'd have to overhaul
the calculation a bit.

I'm not going to attempt to remove the while loops - I don't know a
better alternative; six lines self-contained logic each isn't too bad
IMO.

First things first, I'd recommend a couple of things for better
readability and interactivity:

• Use proper docstrings instead of comments, so that both tools and
  human readers know what the functions are about. At the moment
  help(forward_date_range) isn't too helpful, but with that change it
  would be much more so.


• Similarly, the _dt suffix isn't that readable either. I'd either
  drop it or expand it to _date so that it's more obvious.

Next, I'd try to remove some more duplication:

• The string '%Y-%m-%d' comes up a total of twelve times. Either put
  that into a constant (if you don't ever want users to supply a
  different format), or make it an optional function parameter.


• The structure of both functions is also quite similar, so while the
  loop might not be worth to factor out, the pre- and postprocessing
  definitely is. Also, timedelta(days=1) is another constant in the
  code.


• Importing the right names (e.g. datetime and timedelta) could also
  cut down the number of tokens to read.


• There's also an opportunity to cache the result of end - span into a
  separate variable so as to not repeat it in every loop.


• (From @mathias-ettinger) The loop doesn't have a break to exit it
  early, so the else branch will always be executed. In that case it
  makes sense to just put it on its own line without the else which
  doesn't change the meaning in any respect.

Lastly, I'd probably say that the conversion from and to datetime
objects doesn't belong into these functions and should be done
separately instead. If you want to keep it like it is there are still
some opportunities for helper functions to cut down the noise.

The result I'm posting below can still be compressed further, but at
that point it would be generally getting more functional and less like
regular Python code.

So there we have it:

from datetime import datetime, timedelta





DATE_FORMAT = '%Y-%m-%d'

DATE_STEP = timedelta(days=1)





def _strptime(string):

    return datetime.strptime(string, DATE_FORMAT)





def _strftime(date):

    return date.strftime(DATE_FORMAT)





def _date_range_parameters(start, end, span_days):

    start = _strptime(start)

    end   = _strptime(end)

    span  = timedelta(days=span_days)

    return start, end, span





def forward_date_range(start, end, span_days):

    """

    Generate tuples with intervals from given range of dates (forward).



    forward_date_range('2012-01-01', '2012-01-5', 2)



    1st yield = ('2012-01-01', '2012-01-03')

    2nd yield = ('2012-01-04', '2012-01-05')

    """

    start, end, span = _date_range_parameters(start, end, span_days)

    stop = end - span



    while start < stop:

        current = start + span

        yield _strftime(start), _strftime(current)

        start = current + DATE_STEP



    yield _strftime(start), _strftime(end)





def backward_date_range(start, end, span_days):

    """

    Generate tuples with intervals from given range of dates (backward)



    backward_date_range('2012-01-01', '2012-01-5', 2)



    1st yield = ('2012-01-03', '2012-01-05')

    2nd yield = ('2012-01-01', '2012-01-02')

    """

    start, end, span = _date_range_parameters(start, end, span_days)

    stop = start + span



    while end > stop:

        current = end - span

        yield _strftime(current), _strftime(end)

        end = current - DATE_STEP



    yield _strftime(start), _strftime(end)

You can use Arrow for this: https://arrow.readthedocs.io/en/latest/

import copy

import arrow



end = arrow.utcnow()

start = copy.deepcopy(end).shift(months=-2)



hours_between = [r for r in arrow.Arrow.span_range('hour', start, end)]

days_between = [r for r in arrow.Arrow.span_range('day', start, end)]

print(days_between)



[(<Arrow [2018-12-09T00:00:00+00:00]>,

  <Arrow [2018-12-09T23:59:59.999999+00:00]>),

 (<Arrow [2018-12-10T00:00:00+00:00]>,

  <Arrow [2018-12-10T23:59:59.999999+00:00]>),

 (<Arrow [2018-12-11T00:00:00+00:00]>,

  <Arrow [2018-12-11T23:59:59.999999+00:00]>),

 (<Arrow [2018-12-12T00:00:00+00:00]>,

  <Arrow [2018-12-12T23:59:59.999999+00:00]>),

 (<Arrow [2018-12-13T00:00:00+00:00]>,

  <Arrow [2018-12-13T23:59:59.999999+00:00]>),

 (<Arrow [2018-12-14T00:00:00+00:00]>,

 ...

]