I don't know how (or if) this can be improved, but I will gladly consider patches.
On Thursday 31 August 2006 03:09, Michael Fitzgerald wrote: > Hi all, > > I have a question about the PS backend (building on the thread > "imshow with PS backend" from ~ a month ago). Evidently this backend > is fixed at 72 dpi. This isn't a problem with vector information. > However, it would seem that one would want to use a higher resolution > when plotting figures that use imshow() for raster data, since this > command has several choices for interpolation. As I understand, the > AxesImage is sampled at this low-resolution when being written to PS/ > EPS. Subsequent interpolation is done when printing, or viewing with > ghostview. For the (originally?) raster data, gv seems to use a > nearest-neighbor scheme, making the image blocky. It would be nice > to use matplotlib's interpolation instead. Is there a fundamental > reason this needs to be fixed at 72 dpi? As some publishers ask for > EPS files of e.g. 300 dpi, I would think it's theoretically possible > to export at different resolutions. My understanding is that the > _preview_ image in the file is supposed to be 72 dpi. > > One possible workaround is to scale up the size of the figure (in > inches), but then fonts, line thickness, marker sizes, etc. must also > be scaled, making it less-than-satisfactory. > > Thank you in advance for any enlightenment, and please forgive my > ignorance -- I must admit I don't know that much about PS, nor about > the specific scheme used in matplotlib for getting the image data > into the postscript file, so I may be critically mistaken in the > above assessment. ------------------------------------------------------------------------- Using Tomcat but need to do more? Need to support web services, security? Get stuff done quickly with pre-integrated technology to make your job easier Download IBM WebSphere Application Server v.1.0.1 based on Apache Geronimo http://sel.as-us.falkag.net/sel?cmd=lnk&kid=120709&bid=263057&dat=121642 _______________________________________________ Matplotlib-devel mailing list Matplotlib-devel@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-devel
