I use plotyy to put two plots in one graph:
f = figure('Color','white');
[ax,p1,p2] = plotyy(xx, yy1, xx, yy2);
ylabel(ax(1),'Phase','FontSize',18);
ylabel(ax(2),'Spectrum','FontSize',18);
set(ax,{'ycolor'},{'k';'k'});
set(p1,'LineWidth',2,'Color',[0.4940,0.1840,0.5560]);
set(p2,'LineWidth',2,'Color','red');
xlabel(ax(1),['Frequency [THz]'],'FontSize',18);
set(ax,'FontSize',14)
Figure is displayed perfectly, but when I try to save it as fig something like misaligned boxes appears.
I tried to use linkaxes, but with no result.
plotyy has been one of my favorite MATLAB functions to love to hate. It's a really useful function that I always seem to run into bugs with, to the point where I've completely stopped using it in favor of just stacking two (or more) axes objects and plotting to them separately. You can then set the Position property of the 'sub' axes to the same as your primary axes and they will stack nicely.
A functional example:
xx = linspace(-15,15,100);
yy1 = sin(xx);
yy2 = cos(xx);
f = figure('Color','white');
ax(1) = axes('Parent', f);
ax(2) = axes('Parent', f, 'Color', 'none', 'XTick', [], 'YAxisLocation', 'right');
p1 = plot(ax(1), xx, yy1);
hold(ax(2), 'on'); % Hold to preserve our axes properties set above
p2 = plot(ax(2), xx, yy2);
hold(ax(2), 'off');
ylabel(ax(1),'Phase','FontSize',18);
ylabel(ax(2),'Spectrum','FontSize',18);
set(ax,{'ycolor'},{'k';'k'});
set(p1,'LineWidth',2,'Color',[0.4940,0.1840,0.5560]);
set(p2,'LineWidth',2,'Color','red');
xlabel(ax(1),'Frequency [THz]','FontSize',18);
set(ax,'FontSize',14)
set(ax, 'ActivePositionProperty', 'position'); % Resize based on position rather than outerposition
set(ax(2), 'Position', get(ax(1), 'Position')); % Set last to account for any annotation changes
Along with stacking the axes you will also note that I have set the ActivePositionProperty to position (rather than outerposition). MATLAB resizes axes automatically when the Units property is set to Normalized, and it seems like this is the main spot where the issue is arising. On resizing, MATLAB also modifies the OuterPosition value for the second axes, causing it to resize the plot portion. The difference is small, [0 0 1 1] vs. [0 0.0371 1.0000 0.9599] in my case, but the effect is obviously very pronounced. You can use get and set to fix this, but you'll have to do it on every resize which is fairly annoying. The alternative is to resize based on the Position, which seems to alleviate the issue and is a tweak present in the R2015b implementation of plotyy. This also fixes plotyy except for cases where the window is very small, so I have left my answer with the more generic approach.
Related
I am trying to line up a plot of a signal with an image where the image has a colorbar. The colorbar causes the axes to be offset horizontally.
My intuitive approach would be to fix the size of figures to something, like in Gnuplot with papersize. However, not sure which would be the best fit here.
To Adjust Scaling to Square in Full Screen Mode of Matlab?
I want to maintain the relations between the two figures. I cannot use squareform in the first figure for some reason, while I can in the latter figure.
Code
figure
ax2=subplot(2,2,2);
plot(mat2gray(pdist(data, 'correlation')));
title('Corr pdist');
cbar2 = colorbar(ax2);
xlim([0 size(mat2gray(pdist(data, 'correlation')),2)]);
set(cbar2, 'Visible', 'off');
ax4=subplot(2,2,4);
imshow(squareform( mat2gray(pdist(data, 'correlation')), 'tomatrix') );
colormap('parula'); colorbar;
title('Square Corr pdist');
Wrong Scaling in Output when Full Screen Mode of Matlab where you see the colorbar method is not sufficient for holding relations as proposed in the answer here about How to Control Relative Size of Figures with Colorbar in Matlab?
Right Scaling in Output when Default View
How can you maintain the square view of figures in the Full Screen Mode of Matlab?
I would simply create a colorbar for the top axes as well and set the visibility to off.
figure;
ax1 = subplot(2,1,1);
ax2 = subplot(2,1,2);
cbar1 = colorbar(ax1);
cbar2 = colorbar(ax2);
set(cbar1, 'Visible', 'off')
The benefit here is that you will get consistent behavior when resizing the figures, etc. because the size and position of the two axes will be rendered in the same way.
The other thing you will need to remember is to keep the axes the same in all aspects. So for example if you have an image in the bottom axes (using imshow), MATLAB by default sets the axes to a square. To get your top plot to also be square you will need to use axis square. Then they will continue to line up.
axis(ax1, 'square')
I am struggling to draw my two plots, one is a simple x=y and the other is a boxplot using plotyy. Here are the two :
h1=boxplot(box_panda_8(:, [8 16 24 32 128]) ,'symbol','','notch','on','whisker',0.3)
and
h2=plot([0 5],[0 5], 'k--')
given that i am defining the x axis as
x= 0:5
why the plotyy goes wrong (returns not enough input)
plotyy(x,h1,x,h2)
Updated question
Tackling the issue with two separate plots using axes:
%%% two y axes
y2 = 1:6;
x2 = 1:6;
% Plot the first data set
hl1 = boxplot(box_panda_8(:, [8 16 24 32 48 128]) ,'symbol','','notch','on','whisker',0.3)
% Get the axes and configure it
ax1 = gca;
set(ax1,'XColor','r','YColor','r')
%Create the new axes
ax2 = axes('Position',get(ax1,'Position'),...
'XAxisLocation','top',...
'YAxisLocation','right',...
'Color','none',...
'XColor','k','YColor','k');
% Plot the second data set with the new axes
hl2 =plot(x2,y2,'Color','k','parent',ax2);
but still I dont get my final plot in a right way.
plotyy() is not for merging plots together. Take a look at the documentation for plotyy().
[AX,H1,H2] = plotyy(X1,Y1,X2,Y2,'function1','function2')
Uses function1(X1,Y1) to plot the data for the left axis and function2(X2,Y2) to plot the data for the right axis. So you should be able to do what you're looking for by doing something along these lines:
[AX,H1,H2] = plotyy(boxplot_x,lineplot_x,lineplot_y,#boxplot,#plot);
You can use set() with AX(1) and AX(2) to change axes properties (like titles, labels, tickmarks etc.) for the left and right axis, respectively. You can use set() with H1 and H2 to set line properties for your boxplot and line plot, respectively.
Unfortunately I do not have the stats toolbox so I'm unable to test whether or not this syntax will work for boxplot().
It is also worth noting that plotyy() can be quite annoying to work with, and is limited to two plots. By stacking axes in the same figure with the backgrounds off, you remove this limitation and gain user friendly control over all aspects of each plot. See this question for a basic example.
Context:
I have a (programmatic) GUI which contains several axes objects inside some uipanel parenting structure. Some of these axes have legend objects associated, some don't.
I want to include a button in my GUI which copies the currently visible plot into a new figure including its legend if it has one.
I know how to get the handles to the currently visible uipanel and all axes objects inside it. I also know how to tell the axes apart from the legends.
Question:
How can I match the legends to the axes?
For example, in one case my GUI shows 2 axes with some plots, each of which has its own legend. When I click the 'export' button, I want 2 new figures to be created, each containing one axes with its corresponding legend.
What I'm currently able to do is
put everything in one figure (they overlap in that case because their positions in the original uipanels are the same),
put each axes and each legend into their own respective figures,
put all axes in one and all legends in another figure and
put all axes in their own figure with all legends within the same panel.
split it up by panel, that is, put all subplots into the same figure and each group of plots in their own figure.
Problem:
The problem is, I don't have the handles to either of those objects. I only have the handles to the uipanel objects. The graphics inside the panels are built by another function which contains all sorts of tricky stuff, but doesn't return handles. Also the parenting structure of said panels makes it rather hard to do this with tricks like get(handles.panels{1},'Children') because it will work in some, but not all cases.
I thought about simply exporting the panels (and have actually a working version which does this), but this has several problems, mainly related to figure tools and resizing. I want to get rid of the panels when I use the "Export" button.
Code Snippet / Example:
The following code snippet will create an example GUI with access to all handles I have access to in my complete GUI. Clicking the buttons will show the different versions I got to "work". What I want is one figure for each axes including its legend, if it has one. the 4th version (same parent) comes close, but breaks if it encounters subplots, the 5th version (by panel) simply puts entire subplot groups into one window (in which case, at least, they don't overlap). Copy the code into a new .mfile to try it.
function test
figure(1)
clf
t=(0:0.1:10)'; %'// dummy comment
p2 = uipanel('Visible','off','Position',[0 0 1 1]);
p1 = uipanel('position',[0 0 1 1]);
p11 = uipanel('Parent',p1,'Position',[0 0 0.5 0.9]);
p12 = uipanel('Parent',p1,'Position',[0.5 0 0.5 0.9]);
uicontrol('Style','push','String','all in one','Units','norm',...
'Position',[0.05 0.91 0.14 0.06],'Callback',#export1);
uicontrol('Style','push','String','all in own','Units','norm',...
'Position',[0.24 0.91 0.14 0.06],'Callback',#export2);
uicontrol('Style','push','String','by type','Units','norm',...
'Position',[0.43 0.91 0.14 0.06],'Callback',#export3);
uicontrol('Style','push','String','same parent','Units','norm',...
'Position',[0.62 0.91 0.14 0.06],'Callback',#export4);
uicontrol('Style','push','String','same panel','Units','norm',...
'Position',[0.81 0.91 0.14 0.06],'Callback',#export5);
subplot(1,1,1,'Parent',p11)
plot(t,[sin(t) cos(t)])
legend('Sine','Cosine')
subplot(2,1,1,'Parent',p12)
plot(t,[polyval([0.05 -1 2],t) exp(-t) abs(t-3)])
subplot(2,1,2,'Parent',p12)
plot(t,erf(t))
legend('Error function')
function export1(~,~)
current = findobj('Type','uipanel','Parent',1,'Visible','on');
visible_axes = findobj(current,'Type','axes');
copyobj(visible_axes,figure);
end
function export2(~,~)
current = findobj('Type','uipanel','Parent',1,'Visible','on');
visible_axes = findobj(current,'Type','axes');
for i=1:length(visible_axes)
copyobj(visible_axes(i),figure);
end
end
function export3(~,~)
current = findobj('Type','uipanel','Parent',1,'Visible','on');
visible_axes = findobj(current,'Type','axes','Tag','');
visible_legends = findobj(current,'Tag','legend');
copyobj(visible_axes,figure);
copyobj(visible_legends,figure);
end
function export4(~,~)
current = findobj('Type','uipanel','Parent',1,'Visible','on');
visible_axes = findobj(current,'Type','axes','Tag','');
visible_legends = findobj(current,'Tag','legend');
for i=1:length(visible_axes)
par = get(visible_axes(i),'Parent');
same = findobj(visible_legends,'Parent',par);
h=figure;
copyobj(visible_axes(i),h)
copyobj(same,h)
end
end
function export5(~,~)
current = findobj('Type','uipanel','Parent',1,'Visible','on');
visible_axes = findobj(current,'Type','axes');
parents = cell2mat(get(visible_axes,'Parent'));
uparents = unique(parents);
for i=1:length(uparents)
copyobj(visible_axes(parents==uparents(i)),figure)
end
end
end
In a figure, graphical objects are organized hierarchically and can all be handled individually. For instance, axes is a child of a figure, plot is a child of an axes, and legends are build as axes.
The following example plots 2 lines (red and blue, with legends), then mixes plots and legends using copyobj.
figure;
subplot(1,2,1)
hp1 = plot(1:10,'r')
hl1 = legend('red')
subplot(1,2,2)
hp2 = plot(1:10,'b')
hl2 = legend('blue')
hf = figure;
hax = axes;
copyobj(hp1, hax); %copy plot to axes
copyobj(hl2, hf); %copy legend to figure
Not tested with a GUI though.
I think the simpler solution is to save the axes of the figure you're about to save as a fig file.
h = figure(1);
x = linspace(1,100);
y = 2*x;
ax = findall(h,'type','axes');
plot(x,y);
save('youraxes', 'ax');
hgsave(h, 'yourfig.fig');
I'm using Matlab R2012a, alternatively in R2013a or b the function to save the fig is now savefig.
Once you have obtained the axes handle you can find the corresponding legend handle using
legend_handle = legend(axes_handle)
I have 2 sets of data I want to plot on the same graph.
First an histogram:
hist(data1);
ax1 = gca;
I set the next set of axis, y on the other side
ax2 = axes('Position',get(ax1,'Position'),...
'XAxisLocation','bottom',...
'YAxisLocation','right',...
'Color','none',...
'XColor','k');
If I use line() to plot my data it works:
line(data2a, data2b, 'Color', 'r', 'LineStyle', '-', 'Marker', '.', 'Parent', ax2);
But if I use plot(), the histogram is erased and both axis appear on the left.
plot(ax2, data2a, data2b);
Can somebody figure out why the second axis is not valid for plot()?
You should check out doc hold.
Axes in MATLAB have the 'NextPlot' property, specifying what to do when a new plot-function is issued on this axis.
The default for 'nextplot' is replace, meaning that before anything new is drawn, existing plots are erased.
Using hold(ax, 'on') or set(ax, 'nextplot', 'add') you can specify that new plots are added to the existing ones, instead of replacing them.
The reason that line and plot behave differently is, that high level functions (like plot) respect this axis property, while low-level functions like line, patch and others do not. They are added to axis in any case and do not remove existing children.
EDIT:
Now I'm noticing that ax2 should be empty in your case - maybe just try the above nevertheless ;)
How can I make plots in MATLAB like in below?
I won't need labels, so you can ignore them. I tried using normal 2D plot, by giving 0 to y parameter for each data points. It does help, but most of the plot remains empty/white and I don't want that.
How can I solve this problem?
Edit:
This is how I plot(playing with values of ylim does not help):
hold on
for i=1:120
if genders(v_labels(i)) == CLASS_WOMAN
plot(v_images_lda(i,:) * w_lda,0,'r*');
else
plot(v_images_lda(i,:) * w_lda,0,'b.');
end
end
title('LDA 1D Plot');
ylim([-0.2 0.2]);
hold off
One way to do this would be to adjust the 'XLim', 'YLim', and 'DataAspectRatio' properties of the axes so that it renders as essentially a single line. Here's an example:
data1 = rand(1,20)./2; %# Sample data set 1
data2 = 0.3+rand(1,20)./2; %# Sample data set 2
hAxes = axes('NextPlot','add',... %# Add subsequent plots to the axes,
'DataAspectRatio',[1 1 1],... %# match the scaling of each axis,
'XLim',[0 1],... %# set the x axis limit,
'YLim',[0 eps],... %# set the y axis limit (tiny!),
'Color','none'); %# and don't use a background color
plot(data1,0,'r*','MarkerSize',10); %# Plot data set 1
plot(data2,0,'b.','MarkerSize',10); %# Plot data set 2
And you will get the following plot:
Here's one way to reproduce your figure using dsxy2figxy and annotate. dsxy2figxy can be hard to find the first time, as it is not really in your path. It is part of the MATLAB package and is provided in the example functions. You can reach it by searching for it in the help docs and once you find it, open it and save it to a folder in your path.
h1=figure(1);clf
subplot(4,1,1);
hold on
xlim([0.2,1]);ylim([-1,1])
%arrow
[arrowX,arrowY]=dsxy2figxy([0.2,1],[0,0]);
annotation('arrow',arrowX,arrowY)
%crosses
x=[0.3,0.4,0.6,0.7,0.75];
plot(x,0,'kx','markersize',10)
%pipes
p=[0.5,0.65];
text(p,[0,0],'$$\vert$$','interpreter','latex')
%text
text([0.25,0.5,0.65],[1,-1,-1]/2,{'$$d_i$$','E[d]','$$\theta$$'},'interpreter','latex')
axis off
print('-depsc','arrowFigure')
This will produce the following figure:
This is sort of a hackish way to do it, as I've tricked MATLAB into printing just one subplot. All rasterized formats (jpeg, png, etc) will not give you the same result, as they'll all print the entire figure including where the non-declared subplots should've been. So to get this effect, it has to be an eps, and it works with it because eps uses much tighter bounding boxes... so all the meaningless whitespace is trimmed. You can then convert this to any other format you want.
Ok so the closest I have come to solving this is the following
hax = gca();
hold on
for i=1:120
if genders(v_labels(i)) == CLASS_WOMAN
plot(v_images_lda(i,:) * w_lda,0,'r*');
else
plot(v_images_lda(i,:) * w_lda,0,'b.');
end
end
set(hax, 'visible', 'off');
hax2 = axes();
set(hax2, 'color', 'none', 'ytick', [], 'ycolor', get(gcf, 'color');
pos = get(hax, 'position');
set(hax2, 'position', [pos(1), pos(2)+0.5*pos(4), pos(3), 0.5*pos(4)]);
title('LDA 1D Plot');
hold off
So in short, I hid the original axis and created a new one located at 0 of the original axis, and as I couldn't remove the y axis completely I set it's color to the background color of the figure.
You can then decide if you also want to play with the tick marks of the x-axis.
Hope this helps!
Very naive trick but a useful one.
Plot in 2d using matlab plot function. Then using edit figure properties compress it to whichever axis you need a 1D plot on !! Hope that helps :)