Hi, My team are currently experimenting with extending datetime to allow alternative, non-physical calendars (e.g. 360-day used by climate modellers). Once we've got a handle on the options we'd like to propose the extensions/changes back to NumPy. Obviously we'd like to avoid wasted effort, so are there some aspects of datetime64 which are more experimental than others? Is there a summary of unresolved issues and/or plans for change?
Thanks, Richard Hattersley On 25 March 2012 13:57, Ralf Gommers <[email protected]> wrote: > Hi, > > We decided to label both NA and datetime APIs as experimental for the 1.7.0 > release. I made a PR that does this, please review: > https://github.com/numpy/numpy/pull/240 > > Ralf > > > _______________________________________________ > NumPy-Discussion mailing list > [email protected] > http://mail.scipy.org/mailman/listinfo/numpy-discussion > _______________________________________________ NumPy-Discussion mailing list [email protected] http://mail.scipy.org/mailman/listinfo/numpy-discussion
