Re: [matplotlib-devel] Delaunay code: future directions?

2013-03-06 Thread Amit Aronovitch
aunay code reside in mpl (and, of course, "maintainable" >> is whatever is most convenient for the maintainers). >> >> I apologize for suggesting more tasks without contributing time to work >> on them. Just thought that since I finally sat down to report issue >

[matplotlib-devel] Delaunay code: future directions?

2013-03-05 Thread Amit Aronovitch
de mentioned above), it might be a good time to discuss this topic again. thanks, Amit Aronovitch -- Symantec Endpoint Protection 12 positioned as A LEADER in The Forrester Wave(TM): Endpoint Security, Q1 2013

Re: [matplotlib-devel] Delaunay interpolator patch: support grid whose width or height is 1

2012-07-10 Thread Amit Aronovitch
On Mon, Jul 9, 2012 at 4:34 PM, Benjamin Root wrote: > > > On Sat, Jul 7, 2012 at 7:30 PM, Amit Aronovitch wrote: > >> >> <-- snipped (sent as issue #997) --> >> > I am always a fan of people who test and design their methods against edge > cases li

[matplotlib-devel] Delaunay interpolator patch: support grid whose width or height is 1

2012-07-07 Thread Amit Aronovitch
The current implementation of Delaunay interpolator returns NaN for grids whose x or y has dimension 1 (i.e. when you try to interpolate along a horizontal/vertical line, or in a single point). See example below. By looking at the code, it seems that this can be fixed by simple rearrangement of ca

Re: [matplotlib-devel] Toolbar button for relimiting

2010-09-27 Thread Amit Aronovitch
On Mon, Sep 27, 2010 at 8:57 PM, Benjamin Root wrote: > On Mon, Sep 27, 2010 at 1:47 PM, Eric Firing wrote: > >> On 09/27/2010 08:35 AM, Benjamin Root wrote: >> > On Mon, Sep 27, 2010 at 1:27 PM, Eric Firing > > > wrote: >> > >> > On 09/27/2010 03:46 AM, Dieter Web

Re: [matplotlib-devel] Proposal for Broken Axes

2010-04-16 Thread Amit Aronovitch
First of all, thanks, klukas for the useful piece of code. Jae-Joon Lee wrote: > On Mon, Mar 29, 2010 at 12:30 PM, Jeff Klukas wrote: >> # Create BrokenAxes with bottom from 0 to 5 and top from 30 to 35 >> ax = plt.broken_axes(ybounds=[0.,5.,30.,35.]) >> # Plot a line onto BOTH subaxes >> ax.plot