Q:

Colormap in 2d plots in Scilab

When using the plot(y) function in Scilab, being y a real matrix, multiple data curves are plotted on a 2d plot and the color of each curve is automatically set.
According to Scilab online help, a default color table is used (the command cycles the table and colors each curve accordingly):
http://help.scilab.org/docs/5.5.2/en_US/plot.html
The problem is that the default table lists only 7 colors, so the 8th data curve will have the same color as the 1st, and so on.
Is there a way to extend this table, to automatically color more than 7 data curves with distinct colors?
I tried using the colormap as in 3d plots, but didn't worked.
f = scf();
plot(myData);
f.color_map = jetcolormap(32);

I think this only works for 3d plots.

A:

You can use a for loop to set the foreground color using gce(). 
Example
clf()

number_of_points=100;
number_of_lines=42;

x=[1:number_of_points]

for line_number = 1:number_of_lines
    plot(x, x+line_number);
    last_line = gce();
    last_line.children.foreground = line_number;
end

f = gcf();
f.color_map= jetcolormap(number_of_lines);

Result

