From: Benjamin R. <ben...@ou...> - 2010-11-16 15:35:58
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On Mon, Nov 15, 2010 at 4:14 AM, Guy Griffiths <guy...@re...>wrote: > > On Friday 12 Nov 2010 15:20:43 Ryan May wrote: > > On Fri, Nov 12, 2010 at 8:40 AM, Benjamin Root <ben...@ou...> wrote: > > > On Fri, Nov 12, 2010 at 5:11 AM, Guy Griffiths > > > <guy...@re...> > > > > > > wrote: > > >> Hi, > > >> > > >> I've been using matplotlib for a while for plotting scientific data, > and > > >> recently upgraded from version 0.99.1.1 to 1.0.0. Primarily I use > > >> pcolor to > > >> produce plots of concentration in 2D space. I use reasonably fine > > >> meshes, and > > >> in v0.99.1.1 the output looked great. > > >> > > >> In v1.0.0, all of my plots (using the same code) have faint gridlines > > >> visible. > > >> Since the mesh I am using is quite fine, this makes the plots look > > >> terrible > > >> (i.e. more gridlines than actual data). This seems to be controlled > by > > >> the > > >> "edgecolors" keyword, but even when set to 'none' they are still > there. > > >> Is > > >> there any way to remove them completely without reverting back to > > >> 0.99.1.1 (which I'd prefer not to do, since some of the API changes > are > > >> really useful > > >> for creating very polished graphs suitable for publication)? > > >> > > >> imshow seems to have closer results to what I want (i.e. no > gridlines), > > >> but > > >> with imshow, the axes denote the pixel position, and there is no > option > > >> to display on polar axes (which is essential). > > >> > > >> Any help would be much appreciated. > > >> > > >> Regards, > > >> > > >> Guy Griffiths > > > > > > Guy, I have noticed something similar a few months ago with pcolor, but > I > > > am not certain if it is the same problem as yours. First, which > backend > > > are you using? Second, are you seeing the grid lines in both the > figure > > > window and the saved output? Also, what format are you saving your > > > output to? Lastly, which pcolor function are you using (pcolor(), > > > pcolormesh(), pcolorfast())? > > > > > > If you could include a screenshot or the saved file, I could see if it > is > > > similar to my problem. > > > > Yeah, I had noticed a problem with pcolor too. You can see the problem > > I've been seeing here: > > > > > http://matplotlib.sourceforge.net/examples/pylab_examples/pcolor_demo.html > > > > Calling pcolor with antialiased=False removes the lines, but that's > > just a workaround, not a solution. I'm not really sure where to start > > to track this down, so if anyone has a suggestion, I'm all ears. > > > > Ryan > > Hi, > > Thanks for the help. The problem I'm seeing is as Ryan describes (same > effect > as in the screenshot, but let me know if you still want me to provide an > example), and appears in both the figure window and saved output (at least > png > and pdf). The backend I am using is Qt/Agg. I was using pcolor(), but it > appears that pcolormesh() doesn't (always) have this problem. Setting > antialiased=False removes some of the problems. In summary: > > pcolor(), antialiased=True - lines on screen, png, pdf > pcolor(), antialiased=False - lines on pdf, fine on png/screen > pcolormesh() - lines on pdf, fine on png/screen > > Regards, > > Guy > Guy, I found my old bug report on this visual artifact. Oddly enough, the problem for me was with pcolormesh, not with pcolor. There is a script attached to the report that tests 4 combinations of function calls and rasterized=True. Could you see how it turns out for you? Thanks, Ben Root |