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Showing 2 results of 2

From: Bruno P. <bru...@gm...> - 2014年06月18日 15:23:13
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
>
From: Bruno P. <bru...@gm...> - 2014年06月18日 14:14:35
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?

Showing 2 results of 2

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