On Fri, Nov 12, 2010 at 8:40 AM, Benjamin Root <[email protected]> wrote: > On Fri, Nov 12, 2010 at 5:11 AM, Guy Griffiths <[email protected]> > 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 -- Ryan May Graduate Research Assistant School of Meteorology University of Oklahoma ------------------------------------------------------------------------------ Centralized Desktop Delivery: Dell and VMware Reference Architecture Simplifying enterprise desktop deployment and management using Dell EqualLogic storage and VMware View: A highly scalable, end-to-end client virtualization framework. Read more! http://p.sf.net/sfu/dell-eql-dev2dev _______________________________________________ Matplotlib-users mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/matplotlib-users
