I'm trying to represent several surface plots* for which the scale differs a bit. Each surface plot is drawn in a separate subplot and/or figure.
Right now, I'm using the default color mapping, which automatically scales the whole range of the color map to my figure, i.e. the maximum of my surface is always red (in 'jet' color mode) regardless of the magnitude of this maximum.
I'd like the colormap to be consistent between the figures instead of spread between the min and max of each individual graph. That way, readers could appreciate the difference in scale of the surfaces just by looking at the color map.
Any idea on how to do this?
**Actually, in case it makes a difference, I'm plotting results of a surface fitting operation using the plot command as follows:*
[myfit, gof] = fit( ... );
plot(fit)
You should use the caxis function. For example, if one surface has a height from 0 to 5 and the other has a height from 0 to 10, doing the following for both plots:
caxis([0 10]);
will force them both to use the same color scale as the plot that covers the larger range. You can also call caxis with an axes handle as the first argument:
caxis(hAxes, [0 10]); % Sets the color scaling for hAxes
If not specified, caxis adjusts the color scaling of the axes that is current.
I recently answered this question in video form on my blog:
http://blogs.mathworks.com/videos/2009/03/27/setting-the-colormap-to-be-consistent-across-axes/
Related
I have a data set, contained in three vectors say xx, yy and zz. I want to plot yy vs xx with the marker color face according to zz, so I use the scatter function such as:
scatter(xx,yy,50,zz,'s','filled')
Unfortunately zz has some very extreme values, so I cannot see any difference in the marker face color: all the dots are dark blue!
Is there a possibility to solve this issue? I was thinking of a possibility to impose a lower and an upper value for the color scale, so that any dot with a zz value out of the authorized range would be grey (or of the color of the closest bound)...?
Thank you for your help!
You can try changing the CLim property of the axes.
This example uses the MatLab example data seamount an changes the colorscale range
from the original [-4250 -490]
to the new [-1000 -100]
Default color scale
load seamount
figure
scatter(x,y,5,z)
colorbar
Modified color scale
figure
scatter(x,y,5,z)
set(gca,'clim',[-1000 -100])
colorbar
Default color scale
Nodified color scale
I have some data I would like to display in a picture form. In one case I want to rescale the x and y axis, which leads me to using imagesc. The issue is that the same colormap (jet) looks different in imagesc as compared to image.
Is there a way to make them the same?
I am using MATLAB R2014a.
Demonstration:
Here is how I show them:
figure; image(cancelledmap); colormap(jet); %image
figure; imagesc(y,x,cancelledmap); colormap(jet); %imagesc
And the output:
The colormap settings for both figures are somehow the same, however:
imagesc scales the color axis, whereas image does not. That's why the colors look different. If you click the colorbar button you'll see that they are on different color scales.
You can change the colorscale with caxis.
By the way, if you only want to scale the X- and Y-axes, you can use either function. Just supply your own scaled x and y vectors.
I am currently trying to plot 3D streamtubes. I want the tubes to be colored corresponding to their respective velocity (e.g. slow = blue, fast = red).
To be more exact, I have three 3D-matrices containing the velocity in x, y and z direction. The color of the streamtubes should be sqrt(vx^2+vy^2+vz^2). When using streamtube(x,y,z,vx,vy,vz,sx,sy,sz) the tubes are colored according to their z-coordinate which is useless because it's a 3D plot anyway.
Well this wasn't easy (it ought to be a builtin option), but by modifying the CData of each tube (they are each their own graphics object), you can achieve the desired result. Here's an example
load wind
[sx,sy,sz] = meshgrid(80,20:10:50,0:5:15);
h=streamtube(x,y,z,u,v,w,sx,sy,sz);
drawnow
view(3)
axis tight
shading interp;
This gives this picture:
but then doing this:
vel=sqrt(u.^2+v.^2+w.^2); %// calculate velocities
for i=1:length(h)
%// Modify the colour data of each tube
set(h(i),'CData',interp3(x,y,z,vel,get(h(i),'XData')...
,get(h(i),'YData'),get(h(i),'ZData'),'spline'))
end
drawnow
view(3)
axis tight
shading interp;
gives this result
NOTES:
1) I don't know if this is fully correct, I don't know how to test it
2) You have to interpolate the velocity data from the points where it's known onto the vertices of the streamtubes
3) I found the spline interpolation option to work best, but the other options might work better in other cases
I want to visualize 4 vectors of scattered data with a surface plot. 3 vectors should be the coordinates. In addition the 4th vector should represent a surface color.
My first approach was to plot this data (xk,yk,zk,ck) using
scatHand = scatter3(xk,yk,zk,'*');
set(scatHand, 'CData', ck);
caxis([min(ck), max(ck)])
As a result I get scattered points of different color. As these points lie on the surface of a hemisphere it ist possible to get colored faces instead of just points. I replace the scattered points by a surface using griddata to first build an approximation
xk2=sort(unique(xk));
yk2=sort(unique(yk));
[xxk, yyk]=meshgrid(xk2, yk2);
zzk=griddata(xk,yk,zk,xxk,yyk,'cubic');
cck=griddata(xk,yk,clr,xxk,yyk,'cubic');
surf(xxk,yyk,zzk,cck);
shading flat;
This is already nearly what I want except that the bottom of the hemisphere is ragged. Of course if I increase the interpolation point numbers it gets better but than the handling of the plot gets also slow. So I wonder if there is an easy way to force the interpolation function to do a clear break. In addition it seems that the ragged border is because the value of zzk gets 'NaN' outside the circle the hemisphere shares with the z=0-plane.
The red points at the top are the first several entries of the original scattered data.
You can set the ZLim option to slice the plotted values within a certain range.
set(gca, 'Zlim', [min_value max_value])
I have a figure which consists of different levels of a contour plotted using the hold on function. I want to fill the space between the levels of contour with a color. Could you please assist me how can I do that. I have already tried the contourf function. The figure consists of different red colored levels of a contour, what I want is a solid color filled between these contour levels.
I am not sure if I got exactly what you wanted but here goes a possible solution to your problem.
If you plotted using the hold on function I would therefore assume you have each contour in a different variable. If so you can use logic to check whether a contour is higher or lower relatively to another. If your problem is that you do not have the same x axis for each so that you can use logic just interpolate for each contour (for example between -0.8 and 0.8)
I will give an example of what I am saying. See if this helps.
%simulated contours
x=linspace(0,pi,100);
y = sin(x);
y2 = sin(x)*2;
y3 = sin(x)*3;
figure, hold on,
plot(x,y),
plot(x,y2),
plot(x,y3),
%fill contours
[X,Y]=meshgrid(x,0:3/100:3);
zzz=(Y<repmat(y,size(Y,1),1))+(Y<repmat(y2,size(Y,1),1))+(Y<repmat(y3,size(Y,1),1));
figure,imagesc(zzz)
set(gca,'YDir','normal')