Re: [Matplotlib-users] colors

[Bruno P. <bru...@gm...>]

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!


2014-06-17 21:20 GMT+02:00 Eric Firing <ef...@ha...>:

> On 2014/06/17, 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
> >
> >
> >
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