On Tue, 8 Mar 2011 02:03:54 +0900 Jae-Joon Lee <lee.j.j...@gmail.com> wrote:
> On Mon, Mar 7, 2011 at 7:36 PM, Yuri D'Elia <wav...@users.sf.net> wrote: > In fact, supporting the "bbox_inches" is a real hack. > As I mentioned in my previous email, matplotlib artists can have > spline paths. And artists can also be clipped by an arbitrary spline > path. And, generally speaking, finding out the exact bounding box of > an artist is difficult (but I must confess that I'm not an expert on > this field and any correction or advise will be appreciated). I > believe the AGG library, that matplotlib is based on, can provide an > approximate bounding box for spline paths, but I'm not sure if it will > work when clipping is involved (at least, the *get_window_extent* > does not properly work when clipping is involved). I see. But can't you simply skip spline paths from the calculation? This would remove the need for bbox_extra_artists for 99% of the cases. > I'll consider to support all artists in a "tight" bbox mode if > *get_window_extent* gives back exact bounding box (accounting the > clipping) for "all" artists. Otherwise, I'm not inclined to do this. I don't know if you read this already, but: all artists should at least work with bbox_extra_artists, right? While placing the legend outside the plot I tried the following: egend = plot.legend() pic.savefig(..., bbox_extra_artists=[legend]) but it fails: Traceback (most recent call last): File "./plot.py", line 108, in <module> fig.savefig(sys.argv[1], bbox_inches='tight', bbox_extra_artists=xa) File "/usr/lib/pymodules/python2.6/matplotlib/figure.py", line 1084, in savefig self.canvas.print_figure(*args, **kwargs) File "/usr/lib/pymodules/python2.6/matplotlib/backend_bases.py", line 1894, in print_figure in kwargs.pop("bbox_extra_artists", [])] TypeError: get_window_extent() takes exactly 1 argument (2 given) ------------------------------------------------------------------------------ What You Don't Know About Data Connectivity CAN Hurt You This paper provides an overview of data connectivity, details its effect on application quality, and explores various alternative solutions. http://p.sf.net/sfu/progress-d2d _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users