Jose Gomez-Dans wrote: > Jeff, > > On Mon, Sep 8, 2008 at 6:48 PM, Jeff Whitaker <[EMAIL PROTECTED] > <mailto:[EMAIL PROTECTED]>> wrote: > > Note that to plot the data with pcolor/pcolormesh of contourf, you > don't need to interpolate to a native projection grid. You can > just do > > lons, lats = np.meshgrid(lons,lats) > x,y = m(lons,lats) > im = m.pcolormesh(x,y,datain) > > > OK, I've gone down the pcolormesh route. Results is very nice. > However, if I try to save my file as an EPS or PDF, it takes a long > time, and the resulting PDF is 12Mb (!). The equivalent EPS is of the > order of 500MB (!!!!), and the PNG is around 100kb (!!!!!). I have a > really hard time rendering either the EPS or the PDF, and I guess that > using pcolormesh somehow sticks all the pixels into the resulting > "page". My image size is around 1000x2500 pixels, and I'm not > particularly bothered if it is smoothed for "presentation purposes" > (in fact, I think I can see some aliasing, but don't have the plot in > front of me right now). > > I don't recall this problem when using imshow (no basemap involved). > Is this a pcolormesh "feature" (or converseley, an imshow feature?). > Is there some I can make my plots be as reasonable as other MPL plots > that are mostly vectors rather than rasters? > > Cheers, > J
Jose: Basemap has nothing to do with it. I suspect you would see the same PDF and EPS sizes with imshow. I don't know of anyway around it, other than using high-resolution PNG files instead of EPS/PDF. -Jeff -- Jeffrey S. Whitaker Phone : (303)497-6313 NOAA/OAR/CDC R/PSD1 FAX : (303)497-6449 325 Broadway Boulder, CO, USA 80305-3328 ------------------------------------------------------------------------- This SF.Net email is sponsored by the Moblin Your Move Developer's challenge Build the coolest Linux based applications with Moblin SDK & win great prizes Grand prize is a trip for two to an Open Source event anywhere in the world http://moblin-contest.org/redirect.php?banner_id=100&url=/ _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
