Scilab 5.4.1
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- Графики
- 2d_plot
- ВидЛинии
- свойства Matplot
- Sfgrayplot
- champ
- champ1
- comet
- contour2d
- contour2di
- contourf
- errbar
- Matplot
- Matplot1
- Sgrayplot
- champ properties
- fchamp
- fcontour2d
- fec
- fec properties
- fgrayplot
- fplot2d
- grayplot
- grayplot properties
- graypolarplot
- histplot
- paramfplot2d
- plot
- plot2d
- plot2d1
- plot2d2
- plot2d3
- plot2d4
- 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 This page might be outdated.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
Matplot1
2D plot of a matrix using colors
Calling Sequence
Matplot1(a, rect)
Arguments
- a
a real matrix of size
(n1,n2)
.- rect
[xmin, ymin, xmax, ymax]
.
Description
The entries of matrix int(a)
are used as colormap entries
in the current colormap. rect
specifies a rectangle in the
current scale and the matrix is drawn inside this rectangle. Each matrix
entry will be rendered as a small rectangle filled with its associated
color. If a matrix entry is outside the colormap, the corresponding rectangle
is not displayed.
Enter the command Matplot1()
to see a demo.
Examples
clf(); ax = gca();//get current axes handle ax.data_bounds = [0, 0; 10, 10]; //set the data_bounds ax.box = 'on'; //draw a box a = 5*ones(11,11); a(2:10, 2:10) = 4; a(5:7, 5:7) = 2; // first matrix in rectangle [1,1,3,3] Matplot1(a, [1,1,3,3]) a = ones(10,10); a = 3*tril(a)+ 2*a; // second matrix in rectangle [5,6,7,8] Matplot1(a,[5,6,7,8])
//--- (animation) n=100; clf(); f=gcf();//get current figure handle f.pixmap='on';//double buffer modea ax=gca();//get current axes handle ax.data_bounds=[0,0;10,10];//set the data_bounds ax.box='on'; //draw a box for k=-n:n, a=ones(n,n); a= 3*tril(a,k)+ 2*a; a= a + a'; k1= 3*(k+100)/200; if k>-n then delete(gce()),end Matplot1(a,[k1,2,k1+7,9]) sleep(20); // Slow down the simulation end f.pixmap='off';
See Also
- colormap — using colormaps
- plot2d — 2D plot
- Matplot — 2D plot of a matrix using colors
- grayplot — 2D plot of a surface using colors
- Matplot_properties — описание свойств объектов Matplot
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