In this chapter, the 2D and 3D pie charts in MATLAB are presented and described. In this regard, several examples and exercises for each section of the chapter are presented. The exercises that include writing the codes, executing them, and achieving the
%生成一个向量0~2*pi,步长0.1x=0:0.1:2*pi;%绘制二维线图plot(x,sin(x)); 绘制结果 : 在绘制的图形对话框中 , 3D 空间旋转图形 , 即可在 3D 坐标系中查看该 2D 图形的情况 ; 选中" 三维旋转 " 按钮 , 即可进行 3D 旋转操作 , 旋转后的效果如下 :...
plot(X,Y,"b*-")holdon% 告诉matlab后面需要对plot进行自定义xlabel("t/s")% 设置x轴标签ylabel("x/m")% 设置y轴标签title("x~t关系曲线图")%设置图的标题box("off")% 设置不画边框holdoff 示例3 - 绘制拟合曲线 %设X, Y为需要拟合的所有数据点的x,y坐标a=polyfit(X,Y,2)% 获取2次拟合曲线...
Matlab中的polar函数或者polarplot函数,能够将数据点分布在极坐标系中,如同一朵朵绽放的鲜花,展示出角度与距离的关系,让周期性现象的规律变得触手可及。 The beauty of data is not limited to the straight line world. The polar graph depicts the periodicity and symmetry of data from its unique perspective....
In this chapter, the 2D and 3D streamline plots in MATLAB are presented and described. In this regard, several examples and exercises for each section of the chapter are presented. The exercises that include writing the codes, executing them, and achieving the results need to be done by ...
在Matlab中,plot函数是用于绘制二维图形的最常用函数之一。它可以绘制直线、曲线、散点图等不同类型的图形,同时还可以对这些图形进行一定的定制化操作。在使用plot函数时,选择合适的符号类型来标识数据点是非常重要的,因为这可以帮助更清晰地展现数据的特征和趋势。 1. 符号类型的选择 在Matlab中,plot函数可以通过设置...
This is an example of how to create a 2D scatter plot in MATLAB®. Read about the "scatter" function in the MATLAB documentation. For more examples, go to MATLAB Plot Gallery - http://www.mathworks.com/discovery/gallery.html Cite As MathWorks Plot Gallery Team (2025). MATLAB Plot ...
t=linspace(0,20*pi,4000);%绘制三维线图,4000个点plot3(sin(t),cos(t),t);%显示坐标轴网格 grid on; 运行结果 : 二、2D 与 3D 关联 2D 的图本质上是 z 轴的元素都为0 00的 3D 图 ; 二维绘图代码示例 : %生成一个向量0~2*pi,步长0.1x=0:0.1:2*pi;%绘制二维线图plot(x,sin(x)); ...
二、2D 与 3D 关联 一、三维点线图 1、plot3 函数 plot3 函数参考文档 : https://ww2.mathworks.cn/help/matlab/ref/plot3.html plot3 函数 : 三维的点或线图 ; plot3 函数语法 : X , Y , Z 分别是三维空间中的坐标向量 , 3 3 3 者向量中的元素个数都相等 ; ...
matlab 2D plot 绘图函数 x = 0:0.1:8; y1 = sin(x); y2 = cos(x); subplot(221); plot(x,y1); subplot(222); plot(x,y1,x,y2,'.'); line = [1 2 3]; w = [2 3 4]; w1 = [3 1 6]; subplot(223); plot(line,w,line,w1); q = [4 6;3 5;1 2]; su......