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Groups > comp.graphics.apps.gnuplot > #3885
| Newsgroups | comp.graphics.apps.gnuplot |
|---|---|
| Date | 2018-02-22 14:21 -0800 |
| References | <qepcb.7569$ai7.901@newsread1.news.atl.earthlink.net> <bkuc3k$jp2$1@nets3.rz.RWTH-Aachen.DE> <vn7ijqng8eanb7@corp.supernews.com> <bl10gm$2lc$1@nets3.rz.RWTH-Aachen.DE> |
| Message-ID | <d08010b1-b7f1-4395-8383-89769ac6cd41@googlegroups.com> (permalink) |
| Subject | Re: Plotting EXTREMELY large data set |
| From | michaelstangeland@gmail.com |
Disappointing to see people attack the OP. The point of a plot is to visualize data, the guy has 30GB. Maybe he wants candle-sticks, maybe he wants a scatter plot with translucent dots. It's not inconceivable for a plot program to handle consolidation. Lame comment about the eye resolution... although the high resolution area of the eye is small... the eye moves. Like a scanner. On Friday, September 26, 2003 at 3:22:30 AM UTC-6, Hans-Bernhard Broeker wrote: > MidniteArrow <private@knology.net> wrote: > > > While It is true that a lot of these data points are redundant > > because of display technology limitations, > > This goes deeper than display technology. Human vision has a finite > resolution, too. > > > process the data and only show what is not redundant, but the > > customer does not want that. > > Then, with all due respect, your customer doesn't know what they're > talking about. You *will* always have some kind of preprocessing and > effective removal of redundant data, simply because there's no > 30-Gigapixel display technology on the market, and even if there was, > it'd be useless, because humans don't have 30-Gigapixel eyes. > > The only choice you get to make is *when* and *how* this reduction > happens. > > > rather get a clear answer on if GNUPlot can support this. > > Well, you can try. But there's more bad news waiting for you: gnuplot > doesn't handle binary datafiles for 2D plots, yet. And it will try to > *store* all the data it reads from the file, for at least a short > while. Which means there's good odds it'll just run out of memory, if > you don't cull redundant data before passing it to gnuplot. > > Putting this all together: you could do it, but you would have to do > at least some kind of pre-filtering before you pass the data to > gnuplot. > > > -- > Hans-Bernhard Broeker (broeker@physik.rwth-aachen.de) > Even if all the snow were burnt, ashes would remain.
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Re: Plotting EXTREMELY large data set michaelstangeland@gmail.com - 2018-02-22 14:21 -0800
Re: Plotting EXTREMELY large data set Hans-Bernhard Bröker <HBBroeker@t-online.de> - 2018-02-23 01:59 +0100
Re: Plotting EXTREMELY large data set Gavin Buxton <gavinbuxton@gmail.com> - 2018-02-23 05:55 -0800
Re: Plotting EXTREMELY large data set Ethan A Merritt <EAMerritt@gmail.com> - 2018-02-23 11:24 -0800
Re: Plotting EXTREMELY large data set Gavin Buxton <gavinbuxton@gmail.com> - 2018-02-24 11:00 -0800
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