> On 24/11/2017, at 03:36, Jeroen Demeyer <jdeme...@cage.ugent.be> wrote: > > On 2017-11-22 02:49, François Bissey wrote: >> This is a big upgrade, in fact it would have been easier to upgrade >> to 2.0.2 but we missed that window. > > You could still upgrade to 2.0.2 now and upgrade to 2.1.0 later, if that > makes your life easier.
We’ll have to bit the bullet anyway. May as well do it now. And remember I can just push some changes and so long as I get a positive review it’ll be in. But I don’t think it should go that way. So I am opening the floor to suggestions. After all, I could have missed something. For the interpolation. We are talking about a list_plot function. So you have a set of point in 3d and you want to plot the surface between these points. To do a reasonably smooth job you need to do some kind of interpolation - here on a unstructured grid (most general case). And doing it fast is even better. The natural neighbour interpolator was giving quite nice results for a range of inputs and doing it fast. The only issue matplotlib dev have with it, is that you can only apply it to a delaunay triangulation of your points. It doesn’t work with other triangulations and they decided to remove interpolator that are specific to a triangulation. Never mind that the default triangulation used in matplotlib is delaunay. But the point is you could use other. So I have a replacement interpolator from scipy that actually give nice looking results and that is reasonably fast. But are they other interpolators around that should be trialed? Do people want to settle for something a bit less smooth but simpler? François -- You received this message because you are subscribed to the Google Groups "sage-devel" group. To unsubscribe from this group and stop receiving emails from it, send an email to sage-devel+unsubscr...@googlegroups.com. To post to this group, send email to sage-devel@googlegroups.com. Visit this group at https://groups.google.com/group/sage-devel. For more options, visit https://groups.google.com/d/optout.
