Matlab 3d图中的虚线

时间:2015-08-05 08:44:42

标签: matlab 3d line

我正在尝试在由虚线连接的3个不同平面中制作带有点的3d图。 数据分为两组:

第1组我正在尝试连接黑色半透明虚线 - 这里我遇到了麻烦。

第2组我试图用黑色半透明虚线连接 - 效果很好。

在第1组中,似乎matlab在彼此的顶部绘制了两条线,一条半透明的法线,顶部有一条虚线不透明线。两条线的代码相同,只有数据和颜色不同。

这是我的整个代码:

data = xlsread('rdata.xlsx','PCOA','A2:E43');
weight = xlsread('rdata.xlsx','PCOA','A45:C45');

data(:,1)= -data(:,1);

depl0  = data(1:7,[1,2]);   
deol4  = data(8:14,[1,2]);
depl9  = data(15:21,[1,2]);   
undepl0      = data(22:28,[1,2]);
undepl4 = data(29:35,[1,2]);   
undepl9     = data(36:42,[1,2]);

depl0   = [ones(7,1),depl0];
deol4       = [2*ones(7,1),deol4];
depl9   = [3*ones(7,1),depl9];
undepl0       = [ones(7,1),undepl0];
undepl4  = [2*ones(7,1),undepl4];
undepl9      = [3*ones(7,1),undepl9];

hold on
s1 = plot3(depl0(:,1),depl0(:,2),depl0(:,3),'.','MarkerSize',20);
s2 = plot3(undepl0(:,1),undepl0(:,2),undepl0(:,3),'s','MarkerSize',5,'MarkerEdgeColor',[0 1/255 127/255],'MarkerFaceColor',[0 1/255 127/255]);
set(s1,'color',[0 0 0]);
set(s2,'color',[0 1/255 127/255]);
l = legend('FoxP3-DTR^+','FoxP3-DTR^-');
set(l,'box','off','Location','NorthOutside','Orientation','horizontal');
s1 = plot3(deol4(:,1),deol4(:,2),deol4(:,3),'.','MarkerSize',20);
s2 = plot3(undepl4(:,1),undepl4(:,2),undepl4(:,3),'s','MarkerSize',5,'MarkerEdgeColor',[0 1/255 127/255],'MarkerFaceColor',[0 1/255 127/255]);
set(s1,'color',[0 0 0]);
set(s2,'color',[0 1/255 127/255]);

s1 = plot3(depl9(:,1),depl9(:,2),depl9(:,3),'.','MarkerSize',20);
s2 = plot3(undepl9(:,1),undepl9(:,2),undepl9(:,3),'s','MarkerSize',5,'MarkerEdgeColor',[0 1/255 127/255],'MarkerFaceColor',[0 1/255 127/255]);
set(s1,'color',[0 0 0]);
set(s2,'color',[0 1/255 127/255]);

% Line depleted (7 instance)
for i = 1:7
    X = [depl0(i,1), deol4(i,1), depl9(i,1)];
    Y = [depl0(i,2), deol4(i,2), depl9(i,2)];
    Z = [depl0(i,3), deol4(i,3), depl9(i,3)];
    line(X,Y,Z,'color',[0 0 0 0.5],'LineWidth',1.5,'LineStyle','--');
end

% Line undepleted (7 instance)
for i = 1:7
    X = [undepl0(i,1), undepl4(i,1), undepl9(i,1)];
    Y = [undepl0(i,2), undepl4(i,2), undepl9(i,2)];
    Z = [undepl0(i,3), undepl4(i,3), undepl9(i,3)];
    plot3(X,Y,Z,'color',[0 1/255 127/255 0.5],'LineWidth',1.5,'LineStyle','--');
end

% Grid 
for i =1:3
    X = [i,i];
    Y = [0.1,0.1];
    Z = [-0.4,0.4];
    line(X,Y,Z,'color',[87/255 91/255 69/255]);
    Y = [-0.1,-0.1];
    line(X,Y,Z,'color',[87/255 91/255 69/255]);
    Y = [-0.3,-0.3];
    line(X,Y,Z,'color',[87/255 91/255 69/255]);
    Y = [-0.5,-0.5];
    line(X,Y,Z,'color',[87/255 91/255 69/255]);
    Y = [-0.5,0.3];
    Z = [0,0];
    line(X,Y,Z,'color',[87/255 91/255 69/255]);
    Z = [0.4,0.4];
    line(X,Y,Z,'color',[87/255 91/255 69/255]);
    Z = [0.2,0.2];
    line(X,Y,Z,'color',[87/255 91/255 69/255]);
    Z = [-0.2,-0.2];
    line(X,Y,Z,'color',[87/255 91/255 69/255]);
end


% Three planes
syms x y z
ezsurf(sym('1'),y,z,[-0.5 0.3 -0.4 0.4]);
ezsurf(sym('2'),y,z,[-0.5 0.3 -0.4 0.4]);
ezsurf(sym('3'),y,z,[-0.5 0.3 -0.4 0.4]);
shading interp
alpha(0.1)
CM=[143/255,151/255,104/255];
CM=repmat(CM,64,1);
colormap(CM);

ytitle = strcat('PC 1 (',num2str(weight(1)),'%)');
ztitle = strcat('PC 2 (',num2str(weight(2)),'%)');
ylabel(ytitle, 'rotation', 42);
zlabel(ztitle);
%title('PCoA of colon samples');
xlabel('Days post DTH arthritis induction');
set(gca,'ZTick',-0.4:0.2:0.4)
set(gca,'ZTickLabel',{'','','','',''})
set(gca,'YTick',-0.5:0.2:0.3)
axis([1 3 -0.5 0.3 -0.4 0.4])
set(gca,'YTickLabel',{'','','','',''})
set(gca,'XTick',1:3)
set(gca,'XTickLabel',{'Day 0','Day 4','Day 9'})
set(gca,'fontsize',12,'fontname','Arial','fontweight', 'bold');
set(l,'fontsize',12,'fontname','Arial')
set(get(gca,'XLabel'),'FontSize',12,'fontname','Arial','fontweight', 'bold');
set(get(gca,'YLabel'),'FontSize',12,'fontname','Arial','fontweight', 'bold');
set(get(gca,'ZLabel'),'FontSize',12,'fontname','Arial','fontweight', 'bold');
h = rotate3d; 
set(h,'ActionPostCallback',@align_axislabels);


set(get(gca,'title'),'visible','off'); 
% 'FontSize',16, 'fontweight', 'bold');
set(gca,'ticklength',[0.0 0.0]);%style 6
set(gca,'tickdir','out');%style 7
grid on
hold off
view([18 30])
% print -r600 % set resolution
% saveas(figure(1),'PCoA1-2.tif') % save image as a .tiff file

以下是数据:

data =

    0.1866    0.0749   -0.1734       NaN         0
    0.2001    0.0151   -0.0393       NaN         0
    0.1057   -0.3854    0.0431       NaN         0
    0.2048    0.1505   -0.1489       NaN         0
    0.0482   -0.0006   -0.0153       NaN         0
    0.1343    0.2477    0.0639       NaN         0
    0.1886   -0.0139    0.1079       NaN         0
    0.1600   -0.0637   -0.1771       NaN    4.0000
    0.1571   -0.0156   -0.0961       NaN    4.0000
    0.1465   -0.1112   -0.0855       NaN    4.0000
    0.1758    0.0253   -0.1127       NaN    4.0000
    0.1655    0.0928   -0.1666       NaN    4.0000
    0.1491    0.0166    0.1677       NaN    4.0000
    0.1526    0.1451   -0.0703       NaN    4.0000
    0.1232   -0.3176   -0.0935       NaN    9.0000
    0.1360    0.1054   -0.1026       NaN    9.0000
    0.1938   -0.1332   -0.0826       NaN    9.0000
    0.2053   -0.1563    0.0799       NaN    9.0000
    0.1603    0.1803   -0.1093       NaN    9.0000
    0.1371    0.2595   -0.0826       NaN    9.0000
    0.1947   -0.1083   -0.0422       NaN    9.0000
    0.0839    0.0808    0.1522       NaN         0
    0.1757    0.0522    0.1423       NaN         0
   -0.3631    0.0319    0.0232       NaN         0
   -0.4284    0.0358   -0.0161       NaN         0
    0.0265    0.2092    0.2739       NaN         0
   -0.3970   -0.0270   -0.0618       NaN         0
   -0.3005   -0.1025   -0.0696       NaN         0
    0.1598    0.1318    0.0927       NaN    4.0000
    0.1753   -0.1845    0.1493       NaN    4.0000
   -0.2959   -0.0671   -0.1156       NaN    4.0000
   -0.4260    0.1470   -0.0722       NaN    4.0000
   -0.0407   -0.0009    0.0680       NaN    4.0000
   -0.2739   -0.1550    0.0370       NaN    4.0000
   -0.3063   -0.0713    0.0483       NaN    4.0000
    0.2129   -0.1394    0.1374       NaN    9.0000
    0.1940   -0.0936    0.0295       NaN    9.0000
   -0.3589    0.0083   -0.0007       NaN    9.0000
   -0.4232    0.0520    0.0296       NaN    9.0000
    0.0577    0.1052    0.2468       NaN    9.0000
   -0.3794   -0.0535    0.0540       NaN    9.0000
   -0.4176    0.0332   -0.0130       NaN    9.0000

weight =

   35.2300   11.4800    7.6900

以下是代码生成的图表: http://imgur.com/4lAtNAx

我希望DTR +组的线看起来与DTR组相似。

提前致谢!

1 个答案:

答案 0 :(得分:0)

我发现了问题。

显然,出现不同的线条是由特定视角产生的伪影。当我在视图窗口中手动旋转图形时,线条显示为所需的虚线......

对于给您带来的不便表示歉心,感谢您的快速回复...

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