Matlab：更改线路规格

Question

我想自动创建样品的硬度 H 和杨氏模量 E 作为压头负载 L 的函数的图表。

我的目标是用虚线连接不透明的标记。使用 set(handle,'linestyle',spec) 或 line(...,'linestyle',spec) 命令时，我得到了标记或线条，但它们都没有 - MATLAB 抛出错误。
有没有办法在不绘制具有相同数据和不同规格的两条线的情况下获得线条和标记？如另一个问题 (MATLAB: legend for plotyy with multiple data sets) 中所述，我想继续处理图例。

这是我的实际 MWE 代码：

%data1 - m x 3 matrix with data for first sample:
[m,n]=size(data1);

%plots 1st sample data:
[ax,h1,h2]=plotyy([data1(1:m,1)],[data1(1:m,2)],[data1(1:m,1)],[data1(1:m,3)]);

set(h1,'linestyle','o')
set(h2,'linestyle','o')

%store colors:
c1=get(h1,'color');c2=get(h2,'color');

%plots 2nd sample hardness:
line('parent',ax(1),'xdata',[data2(1:m,1)],'ydata',[data2(1:m,2)],...
     'color',c1,'linestyle','s');

%plots 2nd sample young's modulus
line('parent',ax(2),'xdata',[data2(1:m,1)],'ydata',[data2(1:m,3)],...
     'color',c2,'linestyle','s');

Answer 1

我认为你可能过于复杂了？

试试这样的：

% MarkerSize determines the size of the markers
% MarkerEdgeColor determines the color of the markers themselves
% Color determines the line color connecting them
data = rand(1,5);
plot(data, '.--', 'MarkerSize', 50, 'MarkerEdgeColor', [0.1 0.8 0.2], 'Color', [0.9 0.2 .4]);

它会生成以下用虚线连接的不透明标记图像：

要支持plotyy，过程基本相同，只是需要在父轴和子轴上都设置一些属性。下面是一些示例代码：

% Generate some data
datax1 = rand(1,5);
datay1 = rand(1,5);
datax2 = rand(1,5);
datay2 = rand(1,5);

% Plot the data    
[ax, h1, h2] = plotyy(datax1, datay1, datax2, datay2);

% Different line styles for each child plot
set(h1, 'LineStyle', '--');
set(h2, 'LineStyle', '-.');

% Different markers for each child plot
set(h1, 'Marker', '.');
set(h2, 'Marker', '+');

% Different marker sizes for each child plot
set(h1, 'MarkerSize', 50);
set(h2, 'MarkerSize', 5);

% Generate two colors. We keep a copy so we can set the axes to match.
color1 = rand(1,3);
color2 = rand(1,3);

% The face colors are darker versions of the colors.
set(h1, 'MarkerEdgeColor', color1 * 0.5);
set(h2, 'MarkerEdgeColor', color2 * 0.5);

% This is the plot line color.
set(h1, 'Color', color1);
set(h2, 'Color', color2);

% Set the axis colors to match the plot colors.
set(ax(1), 'YColor', color1);
set(ax(2), 'YColor', color2);

生成以下图像：