A  workaround finds the unique segments from the plot:

contour2d(x, y, uz, [0 0]);
f = gca().children.children

polyline_idx = find(f.type == 'Polyline');

curve1 = f(polyline_idx(1)).data;
curve2 = f(polyline_idx(2)).data;
curve3 = f(polyline_idx(3)).data;



On Tue, 4 Jun 2024 at 08:44, Lester Anderson 
<arctica1...@gmail.com<mailto:arctica1...@gmail.com>> wrote:
Hello,

I have a simple contour2d plot that contours the zero level in a dataset, and 
that is fine. However, it is not easy to extract the data for the two curves as 
the figure properties suggest that the data are duplicated.

Checking the graphic entities:

f=gca().children.children

 f = [12x1 handle]

  Polyline
  Text
  Polyline
  Text
  Polyline
  Text
  Polyline
  Text
  Polyline
  Text
  Polyline
  Text

Now, checking the data for each polyline entity (1 at the top and 6 bottom), 
f(1) and f(4) both give {298,2] and f(3) and f(6) as [305, 2]. The same effects 
are observed, I think, with the help demo for contour2d.

Why is the data duplicated and the text also? Is there an easy way to pick each 
curve without testing the size of the data?

This code works, but it concatenates all of the polyline data
[xout,yout] = contour2di(x, y, uz, [0 0]);

Trying to replicate the functionality of Matlab's contourc function and 
contour2d in Scilab is the closest.

Thanks
Lester

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