[Scilab-users] Scilab checkerboard plot (grayplot)

[Ekin Akoglu]

Dear Samuel,

Thank you for your help. This way it works as I wanted it to be. Matplot 
is the better way to go for my purposes. Thank you again.

It is a pity that the data need to be re-scaled before plotting, though. 
Otherwise, it gives a black plot with Matplot.

Best regards,

Ekin


On 22/04/17 12:15, Samuel Gougeon wrote:
> There was a mistake in the mapping (+zmax instead of +1).
> And may be about data transposition. The following shows
> 0 in the bottom row, as the plot you posted:
>
> function  myMTIplot(data)
>
> // Rescaling data to a given range of indices
> nc  =  32;  // number of colors
> zmin  =  -1;
> zmax  =  1;
> data2  =  (data  -  zmin)/(zmax-zmin)*(nc-1)  +  1;  
> data2  =  flipdim(data2',1);
> // Plotting
> clf
> f  =  gcf();
> f.color_map  =  jetcolormap(nc);
> Matplot(data2)
> a  =  gca();
> colorbar(zmin,  zmax);
>
> xlabel("Impacting Group",  "fontsize",4)
> ylabel("Impacted Group",  "fontsize",  4)
> title("Relative MTI",  "fontsize",  5);
>
> [nrows,  ncols]  =  size(data);
> a.sub_ticks(1)  =  0;
> a.font_size  =  3;
> a.font_style  =  8;
> ticksText  =  tlist(["ticks",  "locations",  "labels"],  1:ncols,  ..
>              ["Plants",  "Bacteria",  "Det. Feeders",  "Carnivores",  "Detritus"]);
> a.x_ticks  =  ticksText;
> a.y_ticks  =  ticksText;
> endfunction
>
> data  =  csvRead("matrix.csv");
> myMTIplot(M) --> flipdim(data',1)ans =0.4778269 -0.3005833 -0.0842439 
> 0.0636698 -0.38217690.2895315 -0.1630711 0.5548875 -0.3547458 
> 0.37435990.2895315 -0.1630711 -0.4451125 -0.3547458 0.37435990.4665757 
> -0.2942464 -0.1058069 0.0774553 0.60327540. 0. 0. 0. 0.
>
>
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