Fill in region between data points

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Ryan
Ryan 2018년 6월 5일
댓글: Star Strider 2018년 6월 7일

Hello all,

Trying to shade a region between my data points. The methods I've tried using don't quite work. I've tried convhull() and boundary() with a shrink factor and can't get the bounded region I'm looking for.

The lower edge of my points get lost in the boundary. See the image. I don't want the blue area in the fill.

Likewise if I had another set of points (in the red) I would want it to follow the top and bottom edge and not try to shortcut the bottom edge.

Any help would be great. Heres my code. The variables x and y are [M x N] N being each set of points on a particular curve.

 xx = reshape(x,[size(x,1).*size(x,2),1]);
 yy = reshape(y,[size(y,1).*size(y,2),1]);
 k = boundary(yy,xx,.1);
 fill(xx(k),yy(k),C(ii,1:3))
 plot(xx,yy,'ko','linewidth',2) 
 % also tried this: -----------------------
 k = convhull(x,y);
 fill(x(k),y(k),C(ii,1:3))
 plot(x,y,'ko','linewidth',2)
  댓글 수: 2
KSSV
KSSV 2018년 6월 6일
We need points to work on.....attach your data..
Ryan
Ryan 2018년 6월 6일
Hi KSSV, just attached the x and y data.

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Star Strider
Star Strider 2018년 6월 6일
Try this:
figure
plot(x, y, 'o')
hold on
patch([x(:,1)' fliplr(x(:,3)')], [y(:,1)' fliplr(y(:,3)')], 'b', 'FaceAlpha',0.3)
hold off
I first ran:
[colmax,mxidx] = max(y);
to determine which columns were the upper and lower curves, and used those results in the patch call. The code then takes columns 1 and 3 of ‘x’ and ‘y’, turns them into row vectors and flips column 3. This defines the area for patch to fill, since it needs a closed area. See the documentation on patch (link) for details.
Experiment to get the result you want.
  댓글 수: 2
Ryan
Ryan 2018년 6월 7일
Hi Star Strider,
That works well for data that doesn't cross each other (see my second image I posted), but I think I see what I need to do. I need to find the upper and lower surface and then use patch. Thanks for the help!
Star Strider
Star Strider 2018년 6월 7일
As always, my pleasure!
To use patch to create the second image, The idea would be to interpolate the original data to create a common grid for both, get the maxima and minima to define the limits of the patch object, and then plot those.
Example
x1 = sort(rand(1,30)); % Create Data
y1 = 1 - 5*(x1-0.5).^2; % Create Data
x2 = sort(rand(1,40)); % Create Data
y2 = sin(2*pi*x2); % Create Data
xi = linspace(min([x1(:); x2(:)]), max([x1(:); x2(:)]), 50); % Interpolation Vector
y1i = interp1(x1, y1, xi, 'linear','extrap'); % Interpolate ‘y1’
y2i = interp1(x2, y2, xi, 'linear','extrap'); % Interpolate ‘y2’
upper = max([y1i; y2i]); % Upper Limit
lower = min([y1i; y2i]); % Lower Limit
figure
plot(x1, y1, '-p', x2, y2, '-p')
hold on
patch([xi fliplr(xi)], [upper fliplr(lower)], [0.5 0.2 0.1], 'FaceAlpha',0.2)
hold off
You will have to experiment with this approach with your own data.

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