On 2015/01/07 11:48 AM, Paul Ganssle wrote: > Recently I took a crack at fixing some of the bugs in dates.py, and it > seems like there's been some talk of overhauling how dates are handled. > I don't see an MEP for that, so I'm wondering if anyone can give me some > more details about what the impetus was for overhauling date handling > and just in general what needs to be done. I wouldn't mind taking a > crack at the date handling stuff while it's still fresh in my mind.
Paul, I think the main thing is supporting, and taking advantage of, the numpy datetime64 dtype. One thing that has held this up is that datetime64 came into numpy half-baked, and has remained experimental with known problems that need to be fixed. It looks like the core of datetime64, ignoring timezone problems, isn't going to change, so it should be possible to work with that in matplotlib. Eric ------------------------------------------------------------------------------ Dive into the World of Parallel Programming! The Go Parallel Website, sponsored by Intel and developed in partnership with Slashdot Media, is your hub for all things parallel software development, from weekly thought leadership blogs to news, videos, case studies, tutorials and more. Take a look and join the conversation now. http://goparallel.sourceforge.net _______________________________________________ Matplotlib-devel mailing list Matplotlib-devel@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-devel
