nertskull <nertsk...@gmail.com> writes: > The problem, is the pdf is unbearably slow when plotting as a scatter plot > or as a line with markers. > > If I make a regular line plot, with no markers, just a single line, it is > plotted and the pdf is fine. But then it connects my points which I don't > want.
Others have commented on the volume of data, but that paragraph makes me curious: are you saying that the results are acceptable if you do something like plot(x, y, '-') but not if you do plot(x, y, 'o') or plot(x, y, '-o')? The amount of data in the pdf file should be within a constant factor in all cases, but the '-' case there are only moveto and lineto commands, while the two other cases render markers as something called an XObject, which is repeated a lot of times on the page. I wonder if the overhead from using an XObject is making the rendering application slow. Does it help at all to use a simpler marker, e.g. plot(x, y, ',')? One change you could try if you're feeling adventurous is the following function in lib/matplotlib/backends/backend_pdf.py: def draw_markers(self, gc, marker_path, marker_trans, path, trans, rgbFace=None): # For simple paths or small numbers of markers, don't bother # making an XObject if len(path) * len(marker_path) <= 10: RendererBase.draw_markers(self, gc, marker_path, marker_trans, path, trans, rgbFace) return # ... The comment is not quite right: only if the path is short *and* the number of markers is small does the XObject code get skipped. You could just change the if statemt to "if True:" and rerun your code (possibly with the ',' marker style). If that helps, it's evidence that we need to revisit the condition for using XObjects for markers. -- Jouni K. Seppänen http://www.iki.fi/jks ------------------------------------------------------------------------------ "Accelerate Dev Cycles with Automated Cross-Browser Testing - For FREE Instantly run your Selenium tests across 300+ browser/OS combos. Get unparalleled scalability from the best Selenium testing platform available. Simple to use. Nothing to install. Get started now for free." http://p.sf.net/sfu/SauceLabs _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users