[Scilab-users] ?==?utf-8?q? Scilab checkerboard plot (grayplot)

[Ekin Akoglu]

Dear Antoine,

Thank you very much for the resolution. It solves my problem by 
producing a graphically consistent plot. However, data-wise, the 
colorbar does not match the plot unless I rescale it to (1,32). I want 
to be able to infer the approximate value of the data from the colors. 
However, thank you.

Kind regards,

Ekin


On 21/04/17 14:25, Antoine Monmayrant wrote:
> Le Vendredi, Avril 21, 2017 11:19 CEST, Ekin Akoglu <ekinakoglu at gmail.com> a écrit:
>   
>> Dear all,
>>
>> I am producing a checkerboard plot with Scilab and the plot seems
>> erroneously colored. The matrix I plot is attached as well as the
>> scripts to plot and the plot produced by Scilab.
>>
>> The problem is that the data at matrix(1,3) and matrix(1,4) are equal,
>> however, on the plot produced by Scilab it is represented by different
>> colors (plants vs det. feeders and plants vs carnivores on the plot).
>> Let me remind you that the plot is transposed form of the matrix.
>>
>> I would appreciate any help on the matter.
>>
>> Kind regards,
>>
>> Ekin
>>
>   
> Hello,
>
> The default behavior for grayplot is to paint a given pixel (a given square) with the color corresponding to its four corners.
> See: "help data_mapping"
>   You can either change the data_mapping after calling grayplot or use Matplot.
> However, you'll have to rescale your data so that it ranges from 1 to nc where nc is the number of colors in your color_map.
> See my modified function below.
> Does it solve your problem?
>
> Cheers,
>
> Antoine
>
> function myMTIplot(data)
>
> [nrows ncols] = size(data);
>
> data = [zeros(1,ncols); data; zeros(1,ncols)];
> data = [zeros(1,nrows+2)' data zeros(1,nrows+2)'];
>
> [nrows ncols] = size(data);
>
> figure1 = scf();
> a = newaxes();
>
> colorbar(-1, 1);
> grayplot(1:nrows, 1:ncols, data);
>
> figure1.color_map = jetcolormap(32);
>
> a.y_label.text = "Impacted Group";
> a.y_label.font_size = 4;
> a.x_label.text = "Impacting Group";
> a.x_label.font_size = 4;
> a.title.text = "Relative MTI";
> a.title.font_size = 5;
> a.font_size = 4;
> a.data_bounds = [1, 6, 1, 6];
>
> a.x_ticks = tlist(["ticks", "locations", "labels"], (1.5:1:5.5), ["Plants", "Bacteria", "Det. Feeders", "Carnivores", "Detritus"]);
> a.y_ticks = tlist(["ticks", "locations", "labels"], (1.5:1:5.5), ["Plants", "Bacteria", "Det. Feeders", "Carnivores", "Detritus"]);
>
>
> //new version without interpolation
> // we rescale the data so that is goes from 1 to 32
> dat=(data-min(data))/(max(data)-min(data))*31+1;
> figure2 = scf();
> a = newaxes();
>
> colorbar(-1, 1);
> grayplot(1:nrows, 1:ncols, dat);
> e=gce();e.data_mapping="direct";//no interpolation
>
> figure2.color_map = jetcolormap(32);
>
> a.y_label.text = "Impacted Group";
> a.y_label.font_size = 4;
> a.x_label.text = "Impacting Group";
> a.x_label.font_size = 4;
> a.title.text = "Relative MTI";
> a.title.font_size = 5;
> a.font_size = 4;
> a.data_bounds = [1, 6, 1, 6];
>
> a.x_ticks = tlist(["ticks", "locations", "labels"], (1.5:1:5.5), ["Plants", "Bacteria", "Det. Feeders", "Carnivores", "Detritus"]);
> a.y_ticks = tlist(["ticks", "locations", "labels"], (1.5:1:5.5), ["Plants", "Bacteria", "Det. Feeders", "Carnivores", "Detritus"]);
>
>
> endfunction
>
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