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Ok, so using the norm=SymLogNorm I cannot distinguish the values that are exactly 0.0 from the really small ones, right? Would it be possible to make use of the set_bad method without having to use masked arrays, just combining the SymLogNorm and the set_bad? Thanks! 2014年06月17日 21:20 GMT+02:00 Eric Firing <ef...@ha...>: > On 2014年06月17日, 8:59 AM, Bruno Pace wrote: > > Hi all, > > > > I'm trying to use imshow to plot some values which fall on the interval > > [0,1]. I need to > > use a logscale to emphasize the scales of the data. The solution I found > > checking some discussions was like this > > > > plt.imshow(X, interpolation='none', norm=matplotlib.colors.LogNorm()) > > > > However, I notice that the way these colors are assigned are not always > > the same (although my data always contains the minimum value 0.0 and > > the maximum 1.0). I need to have a coherent color scale to indicate > > the real values. Is it easier to do the color code myself? What is the > > proper way of tackling this problem?? > > Use the vmin and vmax kwargs to LogNorm, remembering that vmin must be > greater than zero for a log scale. > > Eric > > > > > It's pretty much the same problem described here, but with a logscale... > > > > > http://stackoverflow.com/questions/7875688/how-can-i-create-a-standard-colorbar-for-a-series-of-plots-in-python > > > > > > Thank you very much! > > > > Bruno > > > > > > > ------------------------------------------------------------------------------ > > HPCC Systems Open Source Big Data Platform from LexisNexis Risk Solutions > > Find What Matters Most in Your Big Data with HPCC Systems > > Open Source. Fast. Scalable. Simple. Ideal for Dirty Data. > > Leverages Graph Analysis for Fast Processing & Easy Data Exploration > > http://p.sf.net/sfu/hpccsystems > > > > > > > > _______________________________________________ > > Matplotlib-users mailing list > > Mat...@li... > > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > > > > > > ------------------------------------------------------------------------------ > HPCC Systems Open Source Big Data Platform from LexisNexis Risk Solutions > Find What Matters Most in Your Big Data with HPCC Systems > Open Source. Fast. Scalable. Simple. Ideal for Dirty Data. > Leverages Graph Analysis for Fast Processing & Easy Data Exploration > http://p.sf.net/sfu/hpccsystems > _______________________________________________ > Matplotlib-users mailing list > Mat...@li... > https://lists.sourceforge.net/lists/listinfo/matplotlib-users >
Hey all, I am trying to produce an animation from several images generated with imshow from a sequence of arrays in time, I have done that in several ways. However, my animations consist of several frames (on the order of 10000 frames) and thus the simulation crashes when it's too large. The solution I found was writing the png files and then animating. It is very time and memory consuming, though, and I have the impression it is not the best solution to tackle this problem. What is the best practice to deal with this problem? Thanks! Bruno P.S.: I'm using Ipython, would it change running from a terminal instead of running it from the shell?