matplotlib-users Mailing List for matplotlib

Hi I just wanted to let you know that I did some work on tkinter to have a
tabbed backend,
It is in early stages but "it works"
If you want to give it a try it is available on
https://github.com/fariza/MPL-Experimental-Backend
Let me know if you have any comments.
Cheers
Federico
-- 
Y yo que culpa tengo de que ellas se crean todo lo que yo les digo?
-- Antonio Alducin --

On Monday, November 26, 2012 14:10:31 Eric Firing wrote:
> But how many colors can you actually distinguish on the screen, or in a
> plot? My impression is that the problem is not lack of colors, but
> rather mapping to the color you want. There is no reason that having a
> value in your *data* of 1e10 has to affect how numbers in your data over
> a "normal" range are mapped.
> 
> You are trying to illustrate the problem with an example using 3 colors,
> so how can the number of colors in the colormap be the fundamental
> limitation?
Ok, I understand.
I think that my linear interpolation code has to somewhat be written in a norm 
instead.
At some time, I have looked at examples on Matplotlib website, and at the code 
of pyshared/matplotlib/colors.py, but without having the "flash" to write the 
norm. The next time I will try to write a norm instead (I will put the code 
here of course).
TP

On 2012年11月26日 12:18 PM, TP wrote:
> On Monday, November 26, 2012 12:06:40 Eric Firing wrote:
>> I'm glad you found a solution, but my sense is that the problem is that
>> you are trying to make the colormap do the work of the norm. The
>> colormap is just a set of discrete colors, with a linear mapping to the
>> 0-1 scale (apart from the special under, over, and invalid values). The
>> norm is for mapping your data to those colors, however you like, by
>> mapping your data to the 0-1 range (again with possible under, over, and
>> invalid values). Did you consider making a custom norm instead of
>> modifying the colormap?
>
> Yes, I did.
> The problem with the default colormap is that it has not enough colors. I have
> found (I may be wrong) that no norm can change this state of affair. If you are
> able to find a norm to make my example work, i.e. to obtain the middle point in
> blue when large_value is for example 1e10, I am interested.
But how many colors can you actually distinguish on the screen, or in a 
plot? My impression is that the problem is not lack of colors, but 
rather mapping to the color you want. There is no reason that having a 
value in your *data* of 1e10 has to affect how numbers in your data over 
a "normal" range are mapped.
You are trying to illustrate the problem with an example using 3 colors, 
so how can the number of colors in the colormap be the fundamental 
limitation?
Eric
>
> TP
>
> ------------------------------------------------------------------------------
> Monitor your physical, virtual and cloud infrastructure from a single
> web console. Get in-depth insight into apps, servers, databases, vmware,
> SAP, cloud infrastructure, etc. Download 30-day Free Trial.
> Pricing starts from 795ドル for 25 servers or applications!
> http://p.sf.net/sfu/zoho_dev2dev_nov
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>