I am processing a rather large dataset and want to create and zoom
various plots. I am easily able to zoom the x axis using the axis([x1 x2]) type command. However when I do this I need to re-normalize the y limits to fill the plot. At present I have a rather lengthy script that finds the min and max y values within the new range , retrieve their indices, and then divides all the y values. However I was thinking there is a better way to do this as such: data=load('C:\@fnsonset\sensors\gases\spectra\testdata.csv'); plot(data(:,1),data(:,2)); axis([20 30]); ylim auto This does not work. The "auto" mandate scopes the y across the complete range, not just the scoped down range. Is there a way to do this without my scripts? thanks Fritz _______________________________________________ Help-octave mailing list [hidden email] https://lists.gnu.org/mailman/listinfo/help-octave |
On Fri, Jun 9, 2017 at 7:07 PM, Fritz Sonnichsen <[hidden email]> wrote: I am processing a rather large dataset and want to create and zoom various plots. I am easily able to zoom the x axis using the axis([x1 x2]) type command. However when I do this I need to re-normalize the y limits to fill the plot. I think it would be hard to implement in a generic way, since
although most plots use a monotonic increasing x-axis, this does not
have to be the case. Also if the limits of x and y are not aligned with the data, the intersection of all segments that cross the limits should be interpolated. ss=(20 <= data(:,1)) & (data(:,1) <= 30);Why not just create plots with a subset of the data? _______________________________________________ Help-octave mailing list [hidden email] https://lists.gnu.org/mailman/listinfo/help-octave |
Thanks for the reply. I was assuming the more common case of an
increasing x. In general the domain for a given range is
deterministic.
My reason for avoiding the subset method was simply that I am dealing with large datasets and I assume that Octave actually copies the selected records into the new variable. thanks again fritz On 6/9/2017 2:13 PM, Kire Pudsje wrote:
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