On Mon, Sep 28, 2009 at 16:03, Michael Droettboom <md...@stsci.edu> wrote: > If I understand correctly, the top and bottom of the box are in data > coordinates, the x-center of the box is in data coordinates, only the width > of the box is in axes coordinates. Is that correct? If so, a
That's exactly correct. > PolyCollection won't be able to do this (directly), since that would require > both the width and height to be in axes coordinates. In principle, could you use a blended tranform for that? Eitherway, I don't think it would work, because the patch objects would be drawn to specific Axes coords. If the scale is changed (e.g, by switching to log scale), then what would prompt the Axes coords to be recalculated? I was thinking earlier that I could compose the transData and transAxes.inverse transforms to recalculate where the new Axes coord should be, but Mike thought this approach would fail (though I'm still not exactly sure why, no doubt because of my own ignorance). Uri > > Mike > > Eric Firing wrote: >> >> Uri Laserson wrote: >> >>> >>> Is it possible to specify a path object that will use different >>> transforms for different vertices? >>> >>> This is again related to plotting a box whose height is specified by >>> data coords, but whose width is a constant in axes coords regardless >>> of scale (so linear and log x-scales would produce a box of the same >>> width). >>> >>> Ideally, I would draw a path like this: >>> 1. the center of the box would be located at x and bottom and top >>> would be y1, y2, all in data coords >>> 2. I would move to (x,y1) at the bottom-center of the box. >>> 3. The x value would now need to be converted to Axes coords, possibly >>> by applying transData + transAxes.inverted >>> 4. I would want to draw a line to (x-0.1, y1) where x is now in axes >>> coords and y is still in data coords. Then up, then right, then down, >>> and then close the polygon. >>> >>> How do I implement this? >>> >> >> I must be missing something, because I still don't see why you can't do >> all this very simply by using a PolyCollection, with the vertices in axes >> coordinates and the offset in data coordinates. >> >> Eric >> >> >>> >>> As I mentioned before, a blended transform would allow me to make the >>> moves i am interested in. However, a change of scale would change the >>> correspondence between data and axes coords, so the axes transform >>> part of the blended axes would have to be recomputed everytime the >>> scale changes based on where the (x,y1) point lands in the axes. Is >>> this correct? >>> >>> Any suggestions are welcome...thanks! >>> >>> Uri >>> >>> >>> >> >> >> >> ------------------------------------------------------------------------------ >> Come build with us! The BlackBerry® Developer Conference in SF, CA >> is the only developer event you need to attend this year. Jumpstart your >> developing skills, take BlackBerry mobile applications to market and stay >> ahead of the curve. Join us from November 9-12, 2009. Register now! >> http://p.sf.net/sfu/devconf >> _______________________________________________ >> Matplotlib-users mailing list >> Matplotlib-users@lists.sourceforge.net >> https://lists.sourceforge.net/lists/listinfo/matplotlib-users >> > > -- > Michael Droettboom > Science Software Branch > Operations and Engineering Division > Space Telescope Science Institute > Operated by AURA for NASA > > -- Uri Laserson PhD Candidate, Biomedical Engineering Harvard Medical School (Genetics) Massachusetts Institute of Technology (Mathematics) phone +1 917 742 8019 laser...@mit.edu ------------------------------------------------------------------------------ Come build with us! The BlackBerry® Developer Conference in SF, CA is the only developer event you need to attend this year. Jumpstart your developing skills, take BlackBerry mobile applications to market and stay ahead of the curve. Join us from November 9-12, 2009. Register now! http://p.sf.net/sfu/devconf _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users