On Mon, Jan 23, 2012 at 11:17 AM, Stan West <stan.w...@nrl.navy.mil> wrote: >> From: Russ Dill [mailto:russ.d...@gmail.com] >> Sent: Saturday, January 21, 2012 16:31 >> >> I'm using matplotlib from pylab to generate eye patterns for signal >> simulations. > > ... > >> Is there any way within matplotlib to do that right now? > > One way combines Numpy's histogram2d and matplotlib's imshow, as in the > example in the histogram2d docs [1]. The example's x array should become all > of the time samples in your traces, strung together in one dimension; the y > array, the corresponding voltage samples. >
I'll try it out and see what I get, but I don't think it will work so well. The problem is that while the data is made up of x/y samples, it actually represents a line. The samples should be evenly distributed not along the x or y axis, but along the length of the line. I feel like I'll need a line drawing algorithm. (For example, if samples are evenly distributed along the x axis, a 89 degree line is highly under-represented, but a 1 degree line is highly over-represented. The number of samples should be sqrt(dx^2 + dy^2), but with evenly spaced x samples, its just dx. ------------------------------------------------------------------------------ Try before you buy = See our experts in action! The most comprehensive online learning library for Microsoft developers is just $99.99! Visual Studio, SharePoint, SQL - plus HTML5, CSS3, MVC3, Metro Style Apps, more. Free future releases when you subscribe now! http://p.sf.net/sfu/learndevnow-dev2 _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
