As the title says, I'm trying to save the 2-variable slices of a mesh function (as a .jpg, for example) as a subplot. I want to do this using a .m file because I have many plots to generate. I have figured out how to plot the views on their own figures, but I cannot get them to plot properly as subplots within a figure. To illustrate what I mean:
Here are the outputs on individual plots:
3D mesh: 3D MATLAB mesh plot
XY view: XY MATLAB mesh view
YZ view: YZ MATLAB mesh view
XZ view: XZ MATLAB mesh view
And here is my plotting code (not working):
%Ambiguity Surface
fid = figure(fnum);
axes1 = axes('Parent',fid);
view(axes1,[-62.5 28]);
grid(axes1,'on');
hold(axes1,'all');
msh = mesh(taux,fdy,z,'Parent',axes1);
xlabel ('Delay - seconds');
ylabel ('Doppler - Hz');
zlabel ('Ambiguity function (Normalized Magnitude-Squared)');
fname = strcat(name,' (Ambiguity Function z(\tau;F_d))');
title(fname);
cb = colorbar('peer',axes1);
set(get(cb,'ylabel'),'String','Magnitude-Squared (dB)');
hold off;
printFig(fid,fnum,sname)
fnum = fnum + 1;
%Ambiguity Slices
fid = figure(fnum);
hold all;
subplot(2,1,1);
axes1 = axes();
grid(axes1,'on');
view(axes1,[90 0]);
msh = mesh(taux,fdy,z);
xlabel ('Delay - seconds','Visible','off');
ylabel ('Doppler - Hz');
zlabel ('Ambiguity function (Normalized Magnitude-Squared)','Visible','off');
fname = strcat(name,' (Ambiguity Function Slice z(\tau;F_d) # \tau = 128)');
title(fname)
subplot(2,1,2);
axes2 = axes();
grid(axes2,'on');
view(axes2,[0 0]);
msh = mesh(taux,fdy,z);
xlabel ('Delay - seconds','Visible','off');
ylabel ('Doppler - Hz','Visible','off');
zlabel ('Ambiguity function (Normalized Magnitude-Squared)','Visible','off');
cb = colorbar('peer',axes2);
set(get(cb,'ylabel'),'String','Magnitude-Squared');
fname = strcat(name,' (Ambiguity Function Slice z(\tau;F_d) # F_d = 0)');
title(fname)
hold off;
printFig(fid,fnum,slname)
fnum = fnum+1;
printFig() just sets up directory info and does print command.
My code sets up the two subplots and then overlays a full 3-d view of the mesh plot, which is not what I want. I'd like to see two of the views (XZ and YZ) on a single figure.
Thanks for the help!
-Dylan
EDIT:
Per #Andrew_L's suggestion, I modified this in my code:
sp1 = subplot(2,1,1);
axes(sp1);
axes1 = axes();
grid(axes1,'on');
view(axes1,[90 0]);
msh = mesh(taux,fdy,z,'Parent',axes1);
This is repeated for the other subplot. The result is still the same, however. It appears to set up the two blank subplots properly and then display the full pseudo-3D plot over it.
Here is a stripped example very similar to what you are trying to achieve:
%# create axes, and set the view of each
hAx(1) = subplot(221); h = mesh(peaks); view(3)
hAx(2) = subplot(222); copyobj(h,hAx(2)); view(0,90), title('X-Y')
hAx(3) = subplot(223); copyobj(h,hAx(3)); view(0,0) , title('X-Z')
hAx(4) = subplot(224); copyobj(h,hAx(4)); view(90,0), title('Y-Z')
%# set properties of axes
for i=1:4
grid(hAx(i), 'on')
axis(hAx(i), 'tight')
xlabel(hAx(i), 'Delay (sec)');
ylabel(hAx(i), 'Doppler (Hz)');
zlabel(hAx(i), 'Ambiguity function');
end
title(hAx(1), 'Short Tone Ping z(\tau;F_d)')
hc = colorbar('Peer',hAx(1));
set(get(hc,'YLabel'), 'String','Magnitude-Squared (dB)')
When you call axes1 = axes(); right below subplot(2,1,1);, you are setting axes1 to the default full-window axis when you call axes() without any arguments, which is causing the overlap. Instead, try using the handle returned by subplot to generate the axes handle. Try the following code for the second section:
%Ambiguity Slices
fid = figure(fnum);
H1 = subplot(2,1,1);
pos1 = get(H1, 'Position');
set(H1,'Position',[pos1(1) pos1(2) 0.8*pos1(3) pos1(4)]); %leave space for colorbar;
grid on;
msh = mesh(taux,fdy,z);
view([90 0]);
mapping = caxis;
xlabel ('Delay - seconds','Visible','off');
ylabel ('Doppler - Hz');
zlabel ('Ambiguity function (Normalized Magnitude-Squared)','Visible','off');
fname = strcat(name,' (Ambiguity Function Slice z(\tau;F_d) # \tau = 128)');
title(fname)
H2 = subplot(2,1,2);
pos2 = get(H2, 'Position');
set(H2,'Position',[pos2(1) pos2(2) 0.8*pos2(3) pos2(4)]); %leave space for colorbar;
grid on;
msh = mesh(taux,fdy,z);
caxis(mapping);
view([0 0]);
xlabel ('Delay - seconds','Visible','off');
ylabel ('Doppler - Hz','Visible','off');
zlabel ('Ambiguity function (Normalized Magnitude-Squared)','Visible','off');
axes('Position', [0.05 0.05 0.9 0.9], 'Visible', 'off'); %setup axes for colorbar;
caxis(mapping);
cb = colorbar();
ylabel(cb, 'Magnitude-Squared');
fname = strcat(name,' (Ambiguity Function Slice z(\tau;F_d) # F_d = 0)');
title(fname)
printFig(fid,fnum,slname)
fnum = fnum+1;
This (should) at least get everything displayed how you want - I believe that the colorbar scale will not correspond to anything in particular (most likely the number of discrete colors in the bar), so extra code is needed to make sure both plots use the same colormap, and that you change the colormap for the colorbar.
Related
I have figures from three different codes in matlab, with the same axis.
How do I combine them in to one plot?
Is there a way to write a new script and reference a plot from another code?
Thanks
Consider the following three functions p1(), p2() and p3() which plot three different waveforms. Each function returns three handles for figure, plot and axes, respectively.
function [fig,plt, ax] = p1()
fig = figure;
t = linspace(0, 2*pi, 500);
plt = plot(t, sin(2*pi*2*t));
xlim([0 2*pi])
grid on
ax = gca;
end
function [fig, plt, ax] = p2()
fig = figure;
t = linspace(0, 2*pi, 500);
plt = plot(t, cos(2*pi*0.5*t));
xlim([0 2*pi])
grid on
ax = gca;
end
function [fig, plt, ax] = p3()
fig = figure;
t = linspace(0, 2*pi, 500);
plt = plot(t, 2*exp(-0.5*t));
xlim([0 2*pi])
grid on
ax = gca;
end
These three functions create the following figures:
Then, by copying the Children attribute from each axes to a subplot handle on a new figure, you can merge the three independently generated graphs into one figure, as follows:
clear
close all
[f1, p1, ax1] = p1();
[f2, p2, ax2] = p2();
[f3, p3, ax3] = p3();
merge = figure;
sb1 = subplot(3,1,1);
copyobj(ax1.Children, sb1);
grid on
sb2 = subplot(3,1,2);
copyobj(ax2.Children, sb2);
grid on
sb3 = subplot(3,1,3);
copyobj(ax3.Children, sb3);
grid on
Outputting the following figure:
This is just a crude approach, however, it should give you a starting point.
Just to clarify, the fig and plt handles are only passed as an output in case you need to use their attributes.
Play around with this code and let me know if it works for you
I want to create a plot with pcolor plot with an contour plot on top. Both with different colormaps - pcolor with "hot", the contour with "gray".
I newer Matlab version multiple colormaps are possible.
The code works, however both axis do not overlap, even if the axes positions are in sync.
%% prepare Data
Data2D = peaks(100);
Data2D = Data2D -min(Data2D(:));
Data2D = Data2D/max(Data2D(:)) * 100;
steps = 0:05:100;
xAxis = 1:size(Data2D,2);
yAxis = 1:size(Data2D,1);
figure(1); clf
ax1 = axes;
hold on;
% 3D flat plot
caxis([0 100]);
cmap = fliplr(jet(1000));
colormap(ax1, cmap(1:800,:));
hplot = pcolor(ax1, xAxis, yAxis, Data2D);
shading flat; % do not interpolate pixels
set(ax1,'XLim',[xAxis(1) xAxis(end)]);
set(ax1,'YLim',[yAxis(1) yAxis(end)]);
% colorbar
hcb = colorbar('location','EastOutside');
set(hcb, 'Ylim', [0 100]);
%% contour plot
ax2 = axes; linkaxes([ax1,ax2])
colormap(ax2, flipud(gray(1000)));
[C,hfigc] = contour(ax2, xAxis, yAxis, Data2D,steps);
% Hide the top axes
ax2.Visible = 'off';
ax2.XTick = [];
ax2.YTick = [];
set(hfigc, 'LineWidth',1.0);
hold off;
drawnow
If you didn't use ax2.Visible = 'off' you would probably see that the axes' positions are different, since the first axes are squashed to allow room for the colorbar which the second axes don't have.
TL;DR
You need to set the position properties to be equal
ax2.Position = ax1.Position
Demo
You can simulate this with a blank figure:
1.
% Create figure and first axes, which have a colorbar
figure(1)
ax1 = axes();
colorbar('location', 'eastoutside');
Output:
2.
% Add new axes
hold on;
ax2 = axes();
Output (notice the second axes fills the space of the first + colorbar):
3.
% Make the same, so that the second axes also allow for the colorbar
ax2.Position = ax1.Position;
Output (notice thicker numbers showing they are overlapping fully):
I have a surf plot, in which I would like to have two y-axes. I cannot seem to find any other discussion quite like this.
The closest I got so far is:
surf(peaks);
view(0,0)
ax(1) = gca;
axPos = ax(1).Position;
ax(2) = axes('Position',axPos, 'Color', 'none','XTick',[],'ZTick',[],'YAxisLocation','right');
linkprop(ax, 'CameraPosition');
rotate3d on
% Desired plot
surf(peaks);
% Save axis
ax(1) = gca;
% Use the position of the first axis to define the new axis
pos = ax(1).Position;
pos2 = pos - [0.08 0 0 0];
ax(2) = axes('Position',pos2,'Color', 'none');
% Plot random line in 3D, just make sure your desired axis is correct
plot3(ones(length(peaks),1), 10:10:length(peaks)*10,...
ones(length(peaks),1), 'Color','none')
% Make plot, and non-desired axes, invisible
set(gca,'zcolor','none','xcolor','none','Color','none')
% Link axes
linkprop(ax, 'View');
I want to add an entry manually to a MATLAB legend. This legend can be pre-existent and contain other graphed elements' entries, but not necessarily.
I make a scatter plot, but instead of using e.g. scatter(x,y), I plot it using
for n = 1:numel(x)
text(x(n),y(n),num2str(n), ...
'HorizontalAlignment','center','color',[1 0 0])
end
This results in a scatter plot of numbers one through the number of elements in x (and y, because they are of the same size). I want to add a legend entry for these numbers.
I tried to add or edit the legend with
[h,icons,plots,s] = legend(___)
as described on the legend documentation page. I can't figure out how I can add a legend entry, without having to plot something (such as an actual scatter plot or regular plot). I want the usual line or marker symbol in the legend to be a number or character such as 'n', indicating the numbers in the graph. Is this possible and how would one achieve this?
EDIT by Erik
My answer goes below zelanix's answer, because mine is based on it.
Original answer
A fairly workable solution may be as follows:
x = rand(10, 1);
y = rand(10, 1);
figure;
text(x,y,num2str(transpose(1:numel(x))),'HorizontalAlignment','center')
% Create dummy legend entries, with white symbols.
hold on;
plot(0, 0, 'o', 'color', [1 1 1], 'visible', 'off');
plot(0, 0, 'o', 'color', [1 1 1], 'visible', 'off');
hold off;
% Create legend with placeholder entries.
[h_leg, icons] = legend('foo', 'bar');
% Create new (invisible) axes on top of the legend so that we can draw
% text on top.
ax2 = axes('position', get(h_leg, 'position'));
set(ax2, 'Color', 'none', 'Box', 'off')
set(ax2, 'xtick', [], 'ytick', []);
% Draw the numbers on the legend, positioned as per the original markers.
text(get(icons(4), 'XData'), get(icons(4), 'YData'), '1', 'HorizontalAlignment', 'center')
text(get(icons(6), 'XData'), get(icons(6), 'YData'), '2', 'HorizontalAlignment', 'center')
axes(ax1);
Output:
The trick to this is that the new axes are created in exactly the same place as the legend, and the coordinates of the elements of the icons are in normalised coordinates which can now be used inside the new axes directly. Of course you are now free to use whatever font size / colour / whatever you need.
The disadvantage is that this should only be called after your legend has been populated and positioned. Moving the legend, or adding entries will not update the custom markers.
Erik's answer
Based on zelanix's answer above. It is a work-in-progress answer, I am trying to make a quite flexible function of this. Currently, it's just a script that you'd need to adapt to your situation.
% plot some lines and some text numbers
f = figure;
plot([0 1],[0 1],[0 1],[1 0])
x = rand(25,1);
y = rand(25,1);
for n = 1:numel(x)
text(x(n),y(n),num2str(n), ...
'HorizontalAlignment','center','color',[1 0 0])
end
hold on
% scatter(x,y) % used to test the number positions
scatter(x,y,'Visible','off') % moves the legend location to best position
% create the dummy legend using some dummy plots
plot(0,0,'o','Visible','off')
[l,i] = legend('some line','some other line','some numbers','location','best');
l.Visible = 'off';
% create empty axes to mimick legend
oa = gca; % the original current axes handle
a = axes;
axis manual
a.Box = 'on';
a.XTick = [];
a.YTick = [];
% copy the legend's properties and contents to the new axes
a.Units = l.Units; % just in case
a.Position = l.Position;
i = copyobj(i,a);
% replace the marker with a red 'n'
s = findobj(i,'string','some numbers');
% m = findobj(i(i~=s),'-property','YData','marker','o');
m = findobj(i(i~=s),'-property','YData');
sy = s.Position(2);
if numel(m)>1
dy = abs(m(1).YData - sy);
for k = 2:numel(m)
h = m(k);
dy2 = abs(h.YData - sy);
if dy2<dy
kbest = k;
dy = dy2;
end
end
m = m(kbest);
end
m.Visible = 'off';
mx = m.XData;
text(mx,sy,'n','HorizontalAlignment','center','color',[1 0 0])
% reset current axes to main axes
f.CurrentAxes = oa;
The result:
How to plot something outside the axis with MATLAB? I had like to plot something similar to this figure;
Thank you.
Here is one possible trick by using two axes:
%# plot data as usual
x = randn(1000,1);
[count bin] = hist(x,50);
figure, bar(bin,count,'hist')
hAx1 = gca;
%# create a second axis as copy of first (without its content),
%# reduce its size, and set limits accordingly
hAx2 = copyobj(hAx1,gcf);
set(hAx2, 'Position',get(hAx1,'Position').*[1 1 1 0.9], ...
'XLimMode','manual', 'YLimMode','manual', ...
'YLim',get(hAx1,'YLim').*[1 0.9])
delete(get(hAx2,'Children'))
%# hide first axis, and adjust Z-order
axis(hAx1,'off')
uistack(hAx1,'top')
%# add title and labels
title(hAx2,'Title')
xlabel(hAx2, 'Frequency'), ylabel(hAx2, 'Mag')
and here is the plot before and after:
You can display one axis with the scale you want, then plot your data on another axis which is invisible and large enough to hold the data you need:
f = figure;
% some fake data
x = 0:20;
y = 23-x;
a_max = 20;
b_max = 23;
a_height = .7;
%% axes you'll see
a = axes('Position', [.1 .1 .8 a_height]);
xlim([0 20]);
ylim([0 20]);
%% axes you'll use
scale = b_max/a_max;
a2 = axes('Position', [.1 .1 .8 scale*a_height]);
p = plot(x, y);
xlim([0 20]);
ylim([0 b_max]);
set(a2, 'Color', 'none', 'Visible', 'off');
I had similar problem and I've solved it thanks to this answer. In case of bar series the code is as follows:
[a,b] = hist(randn(1000,1)); % generate random data and histogram
h = bar(b,a); % plot bar series
ylim([0 70]) % set limits
set(get(h,'children'),'clipping','off')% turn off clippings