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From: nertskull <ner...@gm...> - 2014-05-01 12:09:11
|
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. |
From: Björn O. <hrb...@gm...> - 2014-05-01 10:47:50
|
Dear all, > Is there any good reason to move to the "native" mpl api and drop pyplot? I notice I don't even understand this question, but I'd like to. From http://matplotlib.org/faq/usage_faq.html#matplotlib-pylab-and-pyplot-how-are-they-related, I see the difference between *pylab* and the pyplot module. But what would be "the" native mpl api? How would you create a figure as in "fig = plt.figure()", but without pyplot? If this is explained anywhere in the docs, I haven't come across it. Best, Björn |
From: Michiel de H. <mjl...@ya...> - 2014-05-01 06:16:50
|
99.9% of the time I am using pyplot, as it usually does what I want without me having to understand an api. I don't care so much if pyplot agrees with matlab or not, but it should be something easy that new users can pick up quickly. Best, -Michiel -------------------------------------------- On Wed, 4/30/14, Neal Becker <ndb...@gm...> wrote: Subject: [Matplotlib-users] Which api to learn? To: mat...@li... Date: Wednesday, April 30, 2014, 7:49 AM I've never used matlab (and hope never to have to). But I've been using pyplot api for mpl for quite a while. Is there any good reason to move to the "native" mpl api and drop pyplot? I ask because as I understand, pyplot is intended as a matlab workalike, and since I never learned matlab I have no need for that crutch. OTOH, I'm quite used to the pyplot api at this point. ------------------------------------------------------------------------------ "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 |