Scilab 6.0.2
- Aide de Scilab
- Graphiques
- 2d_plot
- champ
- champ1
- champ properties
- comet
- contour2d
- contour2di
- contour2dm
- contourf
- errbar
- fchamp
- fec
- fec properties
- fgrayplot
- fplot2d
- grayplot
- grayplot properties
- graypolarplot
- histplot
- LineSpec
- Matplot
- Matplot1
- Matplot properties
- paramfplot2d
- plot
- plot2d
- plot2d2
- plot2d3
- plot2d4
- polarplot
- scatter
- Sfgrayplot
- Sgrayplot
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 This page might be outdated.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
Syntax
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 ax = gca();//get current axes handle ax.data_bounds = [0, 0 ; 10, 10];//set the data_bounds ax.box = 'on'; //draw a box o = ones(n, n); a = 3 * tril(o, -n) + 2*o; a = a + a'; Matplot1(a, [0, 2, 7, 9]) mp = gce(); for k = (-n + 1):n, a = 3 * tril(o, k) + 2 * o; a = a + a'; k1 = 3 * (k + 100) / 200; mp.data = a; mp.rect = [k1, 2, k1 + 7, 9]; sleep(8); // Slow down the simulation end
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 — Description of the Matplot entities properties
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