%例1 p1 = plot(i,AD,'r-square','LineWidth',2,'MarkerFaceColor','w') p2 = plot(i,AD,'r-square','LineWidth',2,'MarkerFaceColor','w') legend([p1,p2],{'LFF','LFV'},'Fontsize',12,'fontname','Times','Location','southe
axis square 使x 轴和 y 轴上的各个刻度线增量的长度相同 采用该指令,x轴和y轴单位长度所代表的大小一致 axis equal 开启双Y轴 plot() yyaxis right plot() 开网格 grid on 加边框 box on 修改线形、marker、颜色等 详细参考 三维对象的二维视图 view(3) % 斜视图 view(0,90) % XY视图 view(90,0...
The size and shape of x depend on the size and shape of your data and the type of plot you want to make. This table describes the most common types of plots you can create. Type of PlotCoordinates and Error Bar Lengths One line with error bars Specify all coordinates and error bar ...
Plot Title —'Time Series Plot: <name>' where<name>is the string assigned tots.Name, or by default,'unnamed' X-Axis Label —'Time (<units>)' where<units>is the value of thets.TimeInfo.Unitsfield, which defaults to'seconds'
Plot x, y, and z, and specify the format for the z-axis as minutes and seconds. Then add axis labels, and turn on the grid to make it easier to visualize the points within the plot box. Get plot3(x,y,z,'o','DurationTickFormat','mm:ss') xlabel('X') ylabel('Y') zlabel(...
% Spider plot pie_nested(C); % Title title('Nested Pie Chart'); % Legend properties legend_str = cell(length(inner_pie), 1); for ii = 1:length(legend_str) inner_value = inner_pie(ii); legend_str{ii} = sprintf('Inner Pie #%i: %.1f%%', ii, inner_value*100); ...
% N - is the size of the square mesh (N x N) used to % filter and calculate contours % default is 100 % n - is the number of coeficients used in the 2-D % running mean filter % default is 5 % (Note: if n is length(2), n(2) is tjhe number of ...
(Note: only used in methods 'circles' and 'squares'% default radius is sqrt((range(x)/30)^2 + (range(y)/30)^2)% N - is the size of the square mesh (N x N) used to% filter and calculate contours% default is 100% n - is the number of coeficients used in the 2-D% ...
RMS=root,mean,square. 用来描述信号质量。计算方法: 一组数据,先平方,再求均值,最后开根。 让我们手工用matlab撸一个rms函数:建一个rms.m 写入以下内容: function h=rms(data)% h=rms(data) % calculates root-mean-square % of input matrix data ...
varnames = makevarnames(varname1,model); %默认的变量标签 else if ischar(varnames) varname1 = cellstr(varnames); elseif iscell(varnames) varname1 = varnames(:); else error('varnames必须是字符矩阵或字符串元胞数组'); end if size(varname1,1) ~= p ...