Only plot outline of graph

this is my code:
% Plot the conductivity levels along the line (as an outline)
figure;
plot(lineX, conductivityValues, 'k-', 'LineWidth', 1.5, 'Marker', 'none');
xlabel('X [m]');
ylabel('Conductivity');
title(['Conductivity along Y = ', num2str(targetY)]);
box on
and now i get this plot:
I only wantt to plot the outline of this plot how do I do this?

5 comentarios

Dyuman Joshi
Dyuman Joshi el 21 de Dic. de 2023
Sort the x values and get the corresponding indices.
Then plot the x values vs y values sorted according to the indices.
Lara
Lara el 21 de Dic. de 2023
Editada: Lara el 21 de Dic. de 2023
Thank you. I get this graph:
Is there a way to only plot the outline of this plot without using the scatter function?
Star Strider
Star Strider el 21 de Dic. de 2023
Perhaps taking the maximum of the ‘conductivityValues’ will give you that.
Matt J
Matt J el 21 de Dic. de 2023
Editada: Matt J el 21 de Dic. de 2023
It is always advisable to attach a .mat file of sample input data to accompany your code, so that the forum can more easily develop and demonstrate solutions.
You can plot the local maximas -
% Numerical data (generated as an example)
% Taken from Matt J's answer
N = 1e3;
t = linspace(-4, 2, N);
R = randn(1,N);
y = sin(t) + 0.5*sin(2*t) + 0.2*sin(3*t)+cos(t) + 0.5*cos(2*t) + 0.2*cos(3*t)+.2*R;
IND = (y<0);
y(IND)=abs(y(IND));
idx = islocalmax(y);
plot(t, y, t(idx), y(idx), 'k--')

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Respuestas (2)

Matt J
Matt J el 21 de Dic. de 2023
Editada: Matt J el 21 de Dic. de 2023
Use movmax to get the upper envelope of a sequence of data points, and possibly smooth it with sgolayfilt, e.g.,
% Numerical data (generated as an example)
N = 1e3;
t = linspace(-4, 2, N);
R = randn(1,N);
y = sin(t) + 0.5*sin(2*t) + 0.2*sin(3*t)+cos(t) + 0.5*cos(2*t) + 0.2*cos(3*t)+.2*R;
IND = find(y<0);
y(IND)=abs(y(IND));
yupper=sgolayfilt( movmax(y,25), 4,41);
% Data is Plotted
plot(t, y, t,yupper,'LineWidth', 1.5);
legend('Data','Outline',Location='northwest')
Sulaymon Eshkabilov
Sulaymon Eshkabilov el 21 de Dic. de 2023
In this exercise, envelope() with 'peaks' options does a good job, e.g.:
% Numerical data (generated as an example)
N = 1e3;
t = linspace(-4, 2, N);
R = randn(1,N);
y = sin(t) + 0.5*sin(2*t) + 0.2*sin(3*t)+cos(t) + 0.5*cos(2*t) + 0.2*cos(3*t)+.2*R;
IND = find(y<0);
y(IND)=abs(y(IND));
% Data is Plotted
plot(t, y, 'LineWidth', 1.5, 'DisplayName','Data');
hold on;
% Envelope function is applied
[UP, ~] = envelope(y,15, 'peaks');
% UPPER Envelope is plotted
plot(t, UP, 'k-', 'linewidth', 2.5, 'DisplayName','Outer Profile Shape')
legend('Location', 'Best')
hold off;

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el 21 de Dic. de 2023

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el 22 de Dic. de 2023

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