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I think this illustration deserves its places amongst the mpl gallery --probably somewhere towards the very beginning. Thanks for the well documented code Nicolas. On Fri, Jul 8, 2011 at 2:09 AM, Nicolas Rougier <Nic...@in...>wrote: > > > Hi, > > > I've been playing with matplotlib to check if it can produce graphics like: > > > http://www.thebuzzmedia.com/wp-content/uploads/2010/03/anandtech-nvidia-geforce-480-ati-benchmark2.png > > > Here is the result: > http://www.loria.fr/~rougier/tmp/benchmark.png > > and the script (as attachment) > > I do not know if it's worth adding it to examples ? > > > > Nicolas > > > > > ------------------------------------------------------------------------------ > All of the data generated in your IT infrastructure is seriously valuable. > Why? It contains a definitive record of application performance, security > threats, fraudulent activity, and more. Splunk takes this data and makes > sense of it. IT sense. And common sense. > http://p.sf.net/sfu/splunk-d2d-c2 > _______________________________________________ > Matplotlib-devel mailing list > Mat...@li... > https://lists.sourceforge.net/lists/listinfo/matplotlib-devel > > -- Gökhan
On Friday, July 8, 2011, Maximilian Trescher <fa...@tr...> wrote: > Hi, > >> I would avoid drange because >> I believe numpy will soon be implementing such a function and I >> wouldn't want the possible confusion that comes from that. > > what do you mean with "avoiding drange"? You wouldn't use it in your > code? Or do you suggest, matplotlib should not have the function "drange"? > I mean that matplotlib probably shouldn't have drange (although, this is just IMHO). > I have yet another question: Does someone know, why matplotlib.dates > calculates dates in floats, where 1 = 1day? > I think with Long integers without floating point much of the > rounding-issues could be avoided. We are most certainly "doing it wrong" as the current code was merely a hack due to the lack of such features in numpy. The next numpy release should have this, but we will still need the current hacks for a little while longer due to support for previous versions of numpy. Maybe we ought to look into some sort of logic that would utilize numpy's drange if it is available and fall back to ours otherwise? Ben Root
Hi, I've been playing with matplotlib to check if it can produce graphics like: http://www.thebuzzmedia.com/wp-content/uploads/2010/03/anandtech-nvidia-geforce-480-ati-benchmark2.png Here is the result: http://www.loria.fr/~rougier/tmp/benchmark.png and the script (as attachment) I do not know if it's worth adding it to examples ? Nicolas