On Thu, Jun 9, 2011 at 15:01, Mark Wiebe <[email protected]> wrote: > I've replaced the previous two pull requests with a single pull request > rolling up all the changes so far. The newest changes include finishing the > generic unit and np.arange function support. > https://github.com/numpy/numpy/pull/87 > Because of the nature of datetime and timedelta, arange has to be slightly > different than with all the other types. In particular, for datetime the > primary signature is np.arange(datetime, datetime, timedelta). > I've implemented a simple extension which allows for another way to specify > a date range, as np.arange(datetime, timedelta, timedelta). Here (start, > delta) represents the datetime range [start, start+delta). Some examples: >>>> np.arange('2011', '2020', dtype='M8[Y]') > array(['2011', '2012', '2013', '2014', '2015', '2016', '2017', '2018', > '2019'], dtype='datetime64[Y]') >>>> np.arange('today', 10, 3, dtype='M8') > array(['2011-06-09', '2011-06-12', '2011-06-15', '2011-06-18'], > dtype='datetime64[D]')
I would prefer that we not further overload the signature of np.arange() for this case. A new function dtrange() that can take a delta would be preferable. -- Robert Kern "I have come to believe that the whole world is an enigma, a harmless enigma that is made terrible by our own mad attempt to interpret it as though it had an underlying truth." -- Umberto Eco _______________________________________________ NumPy-Discussion mailing list [email protected] http://mail.scipy.org/mailman/listinfo/numpy-discussion
