Eric,

I solved the problem by using vmin/vmax, masking and the heat colorbar
That choice is then "self-masking" for undesired pixels left after masking
and vmin/vmax

Now the thing I still have to do is smoothing scattered data, after that
I'll implement it with GTK or any other windowing system and when it is
finished I'll provide it to the community for example purpose

In fact I'm not demanding for code or so, but for method names which could
help me do what I need, with code examples for instance

The source code is the same as the one posted initially in that mail, except
the masked array which is, I think, straightforward for most of you

Now I have scattered data on my map, antialiased and so, but it still needs
some smoothing as it still looks very pixelated (that is due to the
satellite coverage)

The image generated is here:
http://www.kirikoo.net/images/5shrad-20080917-102544.png

Also, I couldn't find any way to reduce the colorbar font size

Do you know of any ways to achieve these goals?

Antoine De Pauw
Collaborateur de recherches, Informatique - Research collaborator, IT
Laboratoire de chimie quantique et photophysique - Quantum chemistry and
photophysics laboratory
Université Libre de Bruxelles - ULB


-----Original Message-----
From: Eric Firing [mailto:[EMAIL PROTECTED] 
Sent: mardi 16 septembre 2008 21:58
To: De Pauw Antoine
Cc: 'Jeff Whitaker'; 'Matplotlib Users'
Subject: Re: [Matplotlib-users] Information request

De Pauw Antoine wrote:
> Jeff,
> 
> In fact my satellite data is displaying clouds of various gases, and I
don’t
> like the fact that "empty" places are left dark blue (I use jet reversed
> cmap)
> 
> By masking data under a certain value, I isolate the clouds and then they
> are in evidence
> 
> When I use vmin and vmax I'm able to avoid the colormap rescaling and I
keep
> the cloud's original colour, but then it is the colorbar which poses
> problems, as there's a part of the bar that is useless

Can you provide a compact example script, completely self-contained, 
that illustrates the problem with the colorbar?  Perhaps by modifying 
one of the standard mpl examples, such as image_masked.py? From what you 
have said, I would expect that some combination of masking, using vmin 
and vmax, and using the special value colors, would work adequately with 
the present colorbar.

Eric


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