On 06/11/2010 07:39 AM, Michael Droettboom wrote: > On 06/11/2010 01:31 PM, jason-s...@creativetrax.com wrote: >> On 6/11/10 9:44 AM, Michael Droettboom wrote: >> >>> On 06/11/2010 09:46 AM, Michael Droettboom wrote: >>> >>> >>>> However, there's actually a bug in the quantizer that your example >>>> illustrates. Since the spine lines in your example have a stroke width >>>> of 4 pixels, they should actually be rounded to the nearest pixel edge, >>>> not nearest center pixel. So the quantizing is causing this slight >>>> alignment problem *and* making the straight lines look fuzzier than they >>>> should. I'm planning on writing a patch that will take stroke width >>>> into account to address this. By coincidence only, this will also make >>>> your example plot look more accurate (but that's dependent on the >>>> specific scale being used). >>>> >>>> >>>> >>> This specific bug is fixed in r8414. >>> >>> Mike >>> >>> >>> >> I tested your fix, and now this example gives the same sort of problem >> (note that in this case, the spine is 1 pixel wide; I've just changed >> the dpi): >> > That's exactly what I meant when I said "By coincidence only, this will > also make your example plot look more accurate (but that's dependent on > the specific scale being used)." This isn't a proper fix, other than to > make even-width lines looking less fuzzy. The correct fix (to either > make quanitizing an rcParam or to adjust the data based on it) is much > more work.
I don't see how any reasonable algorithm could do such a data adjustment in general, so if the half-pixel inaccuracy is a problem, then I think using an rcParam to turn off quantizing is the way to go. It appears that the difficulty is that quantization is exposed at the python level only for collections, via iter_segments. Eric > > Mike > ------------------------------------------------------------------------------ ThinkGeek and WIRED's GeekDad team up for the Ultimate GeekDad Father's Day Giveaway. ONE MASSIVE PRIZE to the lucky parental unit. See the prize list and enter to win: http://p.sf.net/sfu/thinkgeek-promo _______________________________________________ Matplotlib-devel mailing list Matplotlib-devel@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-devel
