How do I add local min and max values on each line of the plot like the plot shown below?

Question

Bryan Tassin 2021-8-28

0
链接

此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/1442524-how-do-i-add-local-min-and-max-values-on-each-line-of-the-plot-like-the-plot-shown-below

评论： TADA 2021-9-5

%Code used for first plot
% Need the first plot to look exactly like the second plot
plot(rad1,'red')
hold on
plot(in,'yellow')
plot(in1,'blue')
plot(in2,'green')
title('Position Analysis')
xlabel('\Theta2(rads)')
ylabel('Outputs')
legend({'\Theta3(radians)','R3(in)','R4(in)','R5(in)'},'FontSize',6)
xticks([0 50 100 150 200 250 300 350 400])
xticklabels({'0','\pi/4','\pi/2','3\pi/4','\pi','5\pi/4','3\pi/2','7\pi/4','2\pi'})

2 个评论
显示无隐藏无

Ive J 2021-8-28

在 MATLAB Online 中打开

doc annotation

Bryan Tassin 2021-8-28

can you be a little more specific? what would i write for this particular situation?

请先登录，再进行评论。

请先登录，再回答此问题。

Answer 1

Image Analyst 2021-9-5

0
链接

此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/1442524-how-do-i-add-local-min-and-max-values-on-each-line-of-the-plot-like-the-plot-shown-below#answer_781344

在 MATLAB Online 中打开

If you just have one global peak and valley, try this:

maxValue = max(in);
indexesOfMaxima = find(in == maxValue);
plot(indexesOfMaxima, in(indexesOfMaxima), 'rx', 'LineWidth', 2, 'MarkerSize', 15);
% Repeat for in1 and in2 using their colors.

If you have local mins and maxima, use findpeaks() in the Signal Processing Toolbox

[peakValues, peakIndexes] = findpeaks(in);
[valleyValues, valleyIndexes] = findpeaks(-in); % Turn it upside down then find peaks.
valleyValues = -valleyValues;

1 个评论
显示 -1更早的评论隐藏 -1更早的评论

TADA 2021-9-5

Image analysts answer is definitely more complete.

请先登录，再进行评论。

Answer 2

TADA 2021-8-28

0
链接

此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/1442524-how-do-i-add-local-min-and-max-values-on-each-line-of-the-plot-like-the-plot-shown-below#answer_776199

在 MATLAB Online 中打开

Im not sure, but it seems to me that the plot you are trying to duplicate marks local minima/maxima points as the absolute minimum/maximum values in each dataset, and not using some more complecated peak analysis.

In that case you can easilly find the deeps and peaks using

x = 1:100;
rad1 = sin(x).^2 .* tan(x);
[localMinValueRad1, localMinIdxRad1] = min(rad1);
[localMaxValueRad1, localMaxIdxRad1] = max(rad1);
plot(rad1, 'red');
hold on;
plot([localMinIdxRad1(:); localMaxIdxRad1(:)], [localMinValueRad1(:); localMaxValueRad1(:)], 'rx');
% continue doing this for the rest of the datasets