Matlab:改变生产线规格

Question

我想自动创建样品的硬度H和杨氏模量E的图形作为压头负荷L的函数.

我的目标是获得用虚线连接的不透明标记.当使用set(handle,'linestyle',spec)或line(...,'linestyle',spec)命令我得到标记或行时,从来没有它们 - MATLAB抛出错误.
有没有办法获得线条和标记而无需绘制具有相同数据和不同规格的两条线？我想继续使用它与另一个问题(MATLAB:有多个数据集的plotyy的图例)中描述的图例一起工作.

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

我想你可能会过度复杂吗？

尝试这样的事情:

% 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]);

它生成以下用虚线连接的不透明标记图像:

为了支持plotyy,该过程基本相同,除了您必须在父轴和子轴上设置一些属性.这是一些示例代码:

% 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);

产生以下图像: