MATLAB课程：代码示例之Graphics and Visualization（二）

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收藏 2016-03-08

MATLAB课程：代码示例之Graphics and Visualization（二）

Creating 3-D Plots

This example shows how to create a variety of 3-D plots in MATLAB®.

Mesh Plot

The mesh function creates a wireframe mesh. By default, the color of the mesh is proportional to the surface height.

z = peaks(25);figuremesh(z)

Surface Plot

The surf function is used to create a 3-D surface plot.

surf(z)colormap(jet) % change color map

Surface Plot (with Shading)

The surfl function creates a surface plot with colormap-based lighting. For smoother color transitions, use a colormap with linear intensity variation such as pink.

surfl(z)colormap(pink) % change color mapshading interp % interpolate colors across lines and faces

Contour Plot

The contour function is used to create a plot with contour lines of constant value.

contour(z,16)colormap default % change color map

Quiver Plot

The quiver function plots 2-D vectors as arrows.

x = -2:.2:2;y = -1:.2:1;[xx,yy] = meshgrid(x,y);zz = xx.*exp(-xx.^2-yy.^2);[px,py] = gradient(zz,.2,.2);quiver(x,y,px,py)xlim([-2.5 2.5]) % set limits of x axis

Slices through 3-D Volumes

The slice function displays data at planes that slice through volumetric data.

x = -2:.2:2;y = -2:.25:2;z = -2:.16:2;[x,y,z] = meshgrid(x,y,z);v = x.*exp(-x.^2-y.^2-z.^2);xslice = [-1.2,.8,2]; % location of y-z planesyslice = 2; % location of x-z planezslice = [-2,0]; % location of x-y planesslice(x,y,z,v,xslice,yslice,zslice)xlabel('x')ylabel('y')zlabel('z')