How to plot the variations of the maximum and minimum on 2 separate diagrams

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Hi everyone,
I obtained with the following code the plot for each image of the maximum and minimum distance (I have attached for example 3 plots but in reality there are more)
[max_value max_index]=max(mean(all_maxDist/distance_mm))
[min_value min_index]=min(mean(all_maxDist/distance_mm))
m= plot((max_index),max_value , 'ro', 'MarkerSize', 12, 'LineWidth', 2);
% Draw a line from the x-axis up to the max.
line([(max_index), (max_index)], [0,max_value ], 'Color', 'r', 'LineWidth', 2);
n=plot((min_index),min_value , 'ro', 'MarkerSize', 12, 'LineWidth', 2);
% Draw a line from the x-axis up to the min
line([(min_index), (min_index)], [0,min_value ], 'Color', 'r', 'LineWidth', 2);
Now ,I would like to get 2 graphs separately (one for the maximum and one for the minimum) that show me the variations that the maximum and the minimum undergo for each iteration (eventually finding a sort of square wave)
  8 Comments
Rik
Rik on 10 Feb 2021
Do you only have the images, or do you have the data that was used to plot them? And from these 3*2 values, what output would you want?

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Answers (1)

KSSV
KSSV on 9 Feb 2021
Edited: KSSV on 9 Feb 2021
Read about the function stem
x = rand(1,10) ;
[val1,idx1] = min(x) ;
[val2,idx2] = max(x) ;
stem([idx1 idx2],[val1 val2])
xlim([0 10])
  1 Comment
Francesco Muoio
Francesco Muoio on 9 Feb 2021
Edited: Rik on 10 Feb 2021
KSSV for each iteration I want you to describe me a real trend of the variations and not a stem.
In the end I want to get only one final graph for maximum variations and only one graph for minimum variations.

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