- Aide Scilab
- Bibliothèque graphique
- 2d_plot
- contour2di
- contourf
- errbar
- fec
- fgrayplot
- histplot
- paramfplot2d
- LineSpec
- Matplot
- Matplot1
- Matplot_properties
- Sfgrayplot
- Sgrayplot
- champ
- champ1
- champ_properties
- contour2d
- fchamp
- fcontour2d
- fec_properties
- fplot2d
- grayplot
- grayplot_properties
- graypolarplot
- oldplot
- plot
- plot2d
- plot2d1
- plot2d2
- plot2d3
- plot2d4
- plot2d_old_version
- polarplot
Please note that the recommended version of Scilab is 2025.0.0. This page might be outdated.
See the recommended documentation of this function
Sfgrayplot
smooth 2D plot of a surface defined by a function using colors
Calling Sequence
Sfgrayplot(x,y,f,<opt_args>) Sfgrayplot(x,y,f [,strf, rect, nax, zminmax, colminmax, mesh, colout])
Arguments
- x,y
real row vectors of size n1 and n2.
- f
scilab function (z=f(x,y))
- <opt_args>
This represents a sequence of statements
key1=value1, key2=value2,... wherekey1,key2,...can be one of the following: strf, rect, nax, zminmax, colminmax, mesh, colout (see plot2d for the 3 first and fec for the 4 last).- strf,rect,nax
see plot2d.
- zminmax, colminmax, mesh, colout
see fec.
Description
Sfgrayplot is the same as fgrayplot but the
plot is smoothed. The function fec is used for smoothing. The
surface is plotted assuming that it is linear on a set of triangles built
from the grid (here with n1=5, n2=3):
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The function colorbar may be used to see the color scale (but you must know (or compute) the min and max values).
Instead of Sfgrayplot, you can use Sgrayplot and this may be a little faster.
Enter the command Sfgrayplot() to see a demo.
Examples
// example #1: plot 4 surfaces function z=surf1(x, y), z=x*y, endfunction function z=surf2(x, y), z=x^2-y^2, endfunction function z=surf3(x, y), z=x^3+y^2, endfunction function z=surf4(x, y), z=x^2+y^2, endfunction clf() xset("colormap",[jetcolormap(64);hotcolormap(64)]) x = linspace(-1,1,60); y = linspace(-1,1,60); drawlater() ; subplot(2,2,1) colorbar(-1,1,[1,64]) Sfgrayplot(x,y,surf1,strf="041",colminmax=[1,64]) xtitle("f(x,y) = x*y") subplot(2,2,2) colorbar(-1,1,[65,128]) Sfgrayplot(x,y,surf2,strf="041",colminmax=[65,128]) xtitle("f(x,y) = x^2-y^2") subplot(2,2,3) colorbar(-1,2,[65,128]) Sfgrayplot(x,y,surf3,strf="041",colminmax=[65,128]) xtitle("f(x,y) = x^3+y^2") subplot(2,2,4) colorbar(0,2,[1,64]) Sfgrayplot(x,y,surf4,strf="041",colminmax=[1,64]) xtitle("f(x,y) = x^2+y^2") drawnow() ; show_window() // example #2: plot surf3 and add some contour lines function z=surf3(x, y), z=x^3+y^2, endfunction clf() x = linspace(-1,1,60); y = linspace(-1,1,60); xset("colormap",hotcolormap(128)) drawlater() ; colorbar(-1,2) Sfgrayplot(x,y,surf3,strf="041") fcontour2d(x,y,surf3,[-0.1, 0.025, 0.4],style=[1 1 1],strf="000") xtitle("f(x,y) = x^3+y^2") drawnow() ; show_window() // example #3: plot surf3 and use zminmax and colout optional arguments // to restrict the plot for -0.5<= z <= 1 function z=surf3(x, y), z=x^3+y^2, endfunction clf() x = linspace(-1,1,60); y = linspace(-1,1,60); xset("colormap",jetcolormap(128)) drawlater() ; zminmax = [-0.5 1]; colors=[32 96]; colorbar(zminmax(1),zminmax(2),colors) Sfgrayplot(x, y, surf3, strf="041", zminmax=zminmax, colout=[0 0], colminmax=colors) fcontour2d(x,y,surf3,[-0.5, 1],style=[1 1 1],strf="000") xtitle("f(x,y) = x^3+y^2, with parts under z = -0.5 and upper z = 1 removed") drawnow() ; show_window()
See Also
Authors
J.Ph.C.
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