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From: Shahar S. K. <ka...@po...> - 2014-05-01 12:48:54
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How about different line styles or colors instead of markers?— Sent from Mailbox On Thu, May 1, 2014 at 2:10 PM, nertskull <ner...@gm...> wrote: > I am trying to create a multipage pdf of about 750 different graphs. > Each graph has around 5,000 - 15,000 data points, giving me roughly 7 > million points across the pdf. I make it in a large pdf with a page length > of about 20 inches, and then plot about 10 graphs to a page. So I end up > with basically 75 pages in my pdf. I'm basically trying to graph a line of > XY data points. > 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. > I assume this is all because its making the pdf in vector format. And when > I convert it to single lines, I only have ~750 line vectors. But when I try > to scatter plot, or line plot with markers, I end up with millions of > vectors. > I've tried the 'rasterized=True' and that definitely works. But the quality > is really bad. I need to be able to zoom in close on the pdf and still see > rough resolution of the points. > For clarity, I don't actually need to see each individual points. The > graphs have two lines on them, and I just need to be able to distinguish > between the two lines. The two lines are just made up of thousands of > points each. > Is there anyway to keep scalable vectors and do this? Or will I just be > forced to go to a rasterized image file in order to load the pdf in a > reasonable time. > Thanks. > -- > View this message in context: http://matplotlib.1069221.n5.nabble.com/Millions-of-data-points-saved-to-pdf-tp43338.html > Sent from the matplotlib - users mailing list archive at Nabble.com. > ------------------------------------------------------------------------------ > "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 > Mat...@li... > https://lists.sourceforge.net/lists/listinfo/matplotlib-users |