The next step consists in selecting all the elements of Type Text contained in tl : TextElements=findobj(tl,'Type','Text') įinally, The last step will be to loop over these and replace the numbers N with 1EN : for i=1:length(TextElements) Now if you go see the description of tl, you'll see that it's a Data object, containing Text and Line elements. Now instead of calling clabel(C,h1), we need to use another syntax of clabel that will allow us to loop trough the texts (The downgrade is that they'll be less pretty) : tl=clabel(C) Now call contourf with the vector of contour line values : =contourf(X,Y,log10(Z),1:nextpow10Z) and so on so you just need to find the first power of 10 bigger than the maximum of your data : nextpow10Z=ceil(log10(max(Z(:)))) You say you want them to be placed at 1,10. The first step consists in calculating the values of the contour lines.
Summing up, I need to do one of the following:įind a way to set the logarithmic scale programmatically and let matlab worry about the isolines.īe able to manually change the label on the isolines without moving them (new_label = 10^old_label).Ī little 'Hack' that will work, although it will not be possible to keep the labels as nice as they are with a call to clabel(C,h1) : To plot multiple sets of coordinates on the same set of axes, specify at least one of X or Y as a matrix. To plot a set of coordinates connected by line segments, specify X and Y as vectors of the same length.
The plot is generated from loglog () function by. It is basically useful to generate plot either for very large values or very small positive values. It plots data sets of both ‘x’ and ‘y’ axes in the logarithmic scale. Ideally, I'd like to be able to something like this: = contourf(X, Y, Z, 'ZScale', 'Log') Īnd get the picture at the bottom with labels 10, 10^5, 10^10, etc. semilogy (X,Y) plots x - and y -coordinates using a linear scale on the x -axis and a base-10 logarithmic scale on the y -axis. In MATLAB, loglog () function is a 2D plot creation function that generates a plot with a logarithmic scale (base 10). Three-dimensional plot showing the values of the logarithmic mean. So, most of the labels won't be shown (they exceed data range) and the one that will, will be misplaced. This calculation is applicable in engineering problems involving heat and mass transfer. But now my plotted data rang is (0, 45) (because I calculated the logarithm of it). We must remember, however, the function log(x) in MATLAB is the natural. 0:5:45 - and I'll get exactly what I have now. We can make the above, or any plot, more presentable with the following.I can now set them to any vector you like: Here is how I do it (maybe there is another, better way, I don't know, I haven't found anything else): = contourf(X, Y, log(Z)) Īnd it looks well now - you can see how my data varies. Now, since my data in exponential, I have to use the logarithmic scale on the displayed values (the matrix Z) to show the data properly. I can set any countour lines labels I want, but they won't be visible since my data is exponential (And by the way, the labels that are visible in this plot, are the true ones, the ones I want to get on the next plot). Specify the marker fill color as the RGB triplet 0 0.447 0.741, which corresponds to a dark shade of blue. Specify the line style as 's' to display square markers without connecting lines. My question is: how can I get the right labels on the contours? I don't want a color bar as described here. Create a set of x- and y-coordinates and display them in a log-log plot. This is how I do it: = contourf(X, Y, log(Z)) I have some data that I want to display as contour plot with logarithmic scale of the values (the matrix Z) and labelled countours. 'type', 'scatter' ) data = layout = struct (.
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