Add Data to Existing Polar Plot Create a cosine-pattern antenna and plot the pattern from 0° to 36°. az = [0:360]; p1 = abs(cosd(az)); Plot the polar pattern. P = polarpattern(p1); Create a second cosine-pattern antenna rotated by 60°. Add this pattern to the existing patt...
I have the code below, and i want to add a label with each data point. For the first data point, i want to label it '1', and second data point '2' and so on. 테마복사 tenFootHorizontal = [2,3,-4.-1] tenFootVeetical = [1,3,0,.5] scatter(tenFootHorizontal,tenFootVe...
Add S-Parameter Data to Existing Smith Plot Read S-parameter data. amp = read(rfckt.amplifier,'default.s2p'); Sa = sparameters(amp); figure smithplot(Sa,[1,1]) Plot S-parameter object with new impedance of Z0 = 75 Ohms. Sa = sparameters(Sa,75); S11 = rfparam(Sa,1,1); Freq...
在matlab主窗口中输入save example A,回车,会看到左侧当前文件夹出现了相应的example,mat文件。 画了第一张图,在figure窗口上单击,然后运行第二次程序,在图上右击---add data---选定横纵坐标,就可以了。当然你得先把运行结果传到workspace 1.我们需要对matlab有一个初步的了解后,才可能完成后续的步骤,例子如下:...
you have to know the xy coordinates of those points to mark them . suppose i have a graph Y(X) : X=1:10;Y=randn(1,10); plot(X,Y), holdon, Marked=[X(2) Y(2); X(4) Y(4)]; plot(Marked(:,1),Marked(:,2),'o'); ...
data for plotting t1 = 0:0.1:5; t2 = 0:1:5; y11 = sin(t1); y21 = t1.^2-5; y22 = 15-t2.*2; y31 = sqrt(t1).*2+97; y41 = rand(size(t1))-2; y42 = rand(size(t1))+4; p(1) = plot(h.p(1),t1,y11,'Color',C1);hold on; p(2) = plot(h.p(2),t1,y21,...
Create a plot. Add a title with the title function. Then add a subtitle with the subtitle function. Get plot([0 2],[1 5]) title('Straight Line') subtitle('Slope = 2, y-Intercept = 1') Include Variable in Subtitle Copy Code Copy Command Create a plot, and add a title to the...
Learn how to plot data from Excel sheets using MATLAB! This tutorial provides a step-by-step guide to import your Excel data and create stunning visualizationsdeep learning , numerical integration , plotting , subplot , MATLAB , Data Import and Analysis ...
Bubbleplot visualization of multi-dimensional data。该工具箱可以创建2维和三维散点图,最多可以利用颜色、形状、大小以及标注文本可视化七个维度的数据信息。绘制气泡图的工具箱源码如下: function [lh, th] = bubbleplot(x, y, z, siz, col, shape, varargin) ...
Label data series using a legend and customize the legend appearance such as changing the location, setting the font size, or using multiple columns.