I got this question that how to add dots on a 2D graph, like the following picture.
https://www.dropbox.com/s/rs501qkwqqk8qgk/abc.jpg
(the white dots and text on the above graph are needed to be added.)
I have plotted the graph, just do not know the command in matlab of adding the dots on that.
Thanks
(Since there are not many details, I'll go with a generic answer)
If you have the dots coordinates in, say, vectors X and Y, you can plot them with:
hold on; % Keep your plot while updating
plot(X, Y, 'ok'); % Black circles with white background
hold off; % Allow your plots to refresh after that
Also, if you know where the text 'Tower' should be drawn in the current axes (i.e. taking in account the axes limits), say, x_text and y_text, then:
hold on;
text(x_text, y_text, 'Tower');
hold off;
should do the job.
Related
How could one break the x axis in the same figure (not the subplot function)?
You can see an example in line graph in panel b in the following picture, one single row data have been split into three parts as well as the x axis.
the question is how this plot can be achieved in matlab.
(like the panel b in this figure)
Ill leave you an exmaple here using surf.
The trick is inserting nans wherever you want the lines to appear "empty"
z=peaks(100);
% If you want to delete a certain amount of rows/cols
z2=z;
z2(:,10:15)=NaN;
z2(:,50:55)=NaN;
z2(:,75:80)=NaN;
% If you want to separate you data without deleting anything
z3=z;
z3=[z3(:,1:15) nan(size(z3,1),5) z3(:,16:75) nan(size(z3,1),5) z3(:,75:100) ];
% This last bit is only for plotting, so you can try it in your computer
subplot(131)
title('Original')
surf(z,'edgecolor','interp')
axis off
view(2)
axis equal
subplot(132)
title('Deleted columns')
surf(z2,'edgecolor','interp')
axis off
view(2)
axis equal
subplot(133)
title('Separatedd data')
surf(z3,'edgecolor','interp')
axis off
view(2)
axis equal
There are a couple of utilities on the File Exchange that allow you to do that:
Break X Axis
BreakXAxis
I've got 10 grayscale images. I'd like to plot a simple YELLOW line over each image separately, then show them all over one plot (montage style).
I tried to draw all images first, but that made plotting lines very tricky (X,Y axes weren't standard for plotting over each separate image).
I thought about burning the line over the image, but I don't have the computer vision toolkit (easy functions to do this), otherwise it seemed complicated to both convert the grayscale to color and get it to burn the image.
I thought I might be able to use the function newplot to create a temporary plot space for each image, draw the line with a simple plot(...) call, then save it and just montage(...) all the individual plots at the end.
Is this possible? I've never played with the function newplot or tried to loop through individual plots, saving them up for a call to montage(...) this way, but it seems like a logical/simple approach.
I finally worked it out with subplot, subimage, and plot, using subplot with the position arguments does what I want easily enough. Using subplot kept the axis relative to the subplot I was on so I could plot the line with a standard fplot/plot call. The trick was normalizing the position to percentages vs. thinking of it in terms of pixels.
here's some code demoing it:
% Loop through this code, each time moving the subplot by position
LOOP {
% calculate left & bottom position as percentages (0..1)
subplot( 'Position', [ left bottom (1/cols) (1/rows) ] );
hold on
% (1) Draw the image
subimage(tmpImg, [0 255]);
axis off;
% (2) Plot the line over the original image
F = #(x) polyval(p, x);
fplot(F, [1 dimX 1 dimY], '-y');
}
I have a simple plot in Matlab but as you can see from the screenshot. There is a lot of white space on the right side of the graph after the end of the data series.
Any idea how to get rid of this white space and make the plot go right to the edge of the figure? Here is my code:
Plotx = plot(x);
hold on
PlotState = plot(Y);
set(Plotx,'Color','black','LineWidth',2.5);
set(PlotState,'Color','red','LineWidth',2.5);
set(gca, 'XTick',(1:3:62))
labels = time;
set(gca,'XTickLabel',labels(1:3:62))
grid on
This usually works for me:
axis tight;
xlim('auto');
You must select your figure, go back to the console and use those commands so they affect the last active figure.
EDIT: The above line should automatically make your graph axis very tight on your data. For more fine control, you may want to define the axis limits manually:
axis([xmin,xmax,ymin,ymax])
I found a solution. I manually adjust the limit of the x-axis, using:
set(gca,'XLim',[0 63])
I have multiple subplots in one figure. The X axis of each plot is the same variable (time). The Y axis on each plot is different (both in what it represents and the magnitude of the data).
I would like a way to zoom in on the time scale on all plots simultaneously. Ideally by using the rectangle zoom tool on one of the plots, and having the other plots change their X limits accordingly. The Y limits should remained unchanged for all of this. Auto fitting the data to fill the plot in the Y direction is acceptable.
(This question is almost identical to Stack Overflow question one Matplotlib/Pyplot: How to zoom subplots together? (except for MATLAB))
Use the built-in linkaxes function as follows:
linkaxes([hAxes1,hAxes2,hAxes3], 'x');
For more advanced linking (not just the x or y axes), use the built-in linkprop function
Use linkaxes as Yair and Amro already suggested. Following is a quick example for your case
ha(1) = subplot(2,1,1); % get the axes handle when you create the subplot
plot([1:10]); % Plot random stuff here as an example
ha(2) = subplot(2,1,2); % get the axes handle when you create the subplot
plot([1:10]+10); % Plot random stuff here as an example
linkaxes(ha, 'x'); % Link all axes in x
You should be able to zoom in all the subplots simultaneously
If there are many subplots, and collecting their axes handle one by one does not seem a clever way to do the job, you can find all the axes handle in the given figure handle by the following commands
figure_handle = figure;
subplot(2,1,1);
plot([1:10]);
subplot(2,1,2);
plot([1:10]+10);
% find all axes handle of type 'axes' and empty tag
all_ha = findobj( figure_handle, 'type', 'axes', 'tag', '' );
linkaxes( all_ha, 'x' );
The first line finds all the objects under figure_handle of type "axes" and empty tag (''). The condition of the empty tag is to exclude the axe handles of legends, whose tag will be legend.
There might be other axes objects in your figure if it's more than just a simple plot. In such case, you need to add more conditions to identify the axes handles of the plots you are interested in.
To link a pair of figures with linkaxes use:
figure;imagesc(data1);
f1h=findobj(gcf,,’type’,’axes’)
figure;imagesc(data2);
f2h=findobj(gcf,,’type’,’axes’)
linkaxes([f1h,f2h],’xy’)
How do you take one plot and place it in the corner (or anywhere for that matter) of another plot in MATLAB?
I have logarithmic data that has a large white space in the upper right-hand side of the plot. In the white space I would like to overlay a smaller plot containing a zoomed in version of the log plot in that white space (sort of like a magnified view).
Before you tell me it can't be done, I would like to mention that I have seen it in action. If my description is lacking, just let me know and I'll attempt to better describe it to you.
An example:
x = 1:20;
y = randn(size(x));
plot(x, y,'LineWidth',2)
xlabel('x'), ylabel('y'), title('Plot Title')
h = axes('Position', [.15 .65 .2 .2], 'Layer','top');
bar(x,y), title('Bar Title')
axis(h, 'off', 'tight')
You can use axes properties 'position' and 'units' and make them overly. Pay attention to create small axes after big one or use uistack() function so that big does not hide small one.
What you can not do is to make an axes child of another one (like Mathworks do with legend). But you do not need it anyway.
For the second plot you have to use axes and line instead of plot and hold on.
Units as 'normalized' (which is default) allows uniform resizable look when parent figure is being resized (e.g. manually maximized).