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Star Strider
Star Strider 2021년 3월 21일

0 개 추천

I am not certain what you want.
Adapt this to your data:
x = linspace(0, 7200, 250); % Create ‘x’
y = rand(size(x))*4.5E+4; % Create ‘y’
figure
plot(x, y, 'r.')
hold on
Lv = y>1E+4; % Set Threshold At 1E+4
plot(x(Lv), y(Lv), '.b')
hold off
legend('All Data', 'Data Above Threshold')
.

댓글 수: 9

I want to show the dot that occour above 1
Change the threshold to 1:
Lv = y>1; % Set Threshold At 1E+4
then plot it as:
plot(x(Lv), y(Lv), '.r')
Choose whatever colour you want the dots to be.
Is there any error in my code ?
Star Strider
Star Strider 2021년 3월 21일
I do not have your data, and I cannot run images of code in my version of MATLAB.
So, I have no idea if there are any errors in it, other than that the data you are loading is ‘pure_liver’. and you are plotting ‘pure_brain’ that apparently does not exist in your workspace. That would appear to me to be an error.
Oh I already change it and nothing happen
Star Strider
Star Strider 2021년 3월 21일
I would need the data and your code (as text, not an image) to see what the problem is.
pure_liver = importdata('Pure Liver Spectra.csv');
[pks,locs] = findpeaks(pure_liver(:,2));
x = 1:size(pure_liver,1);
%Pure brain peak
%figure
%plot(x, pure_brain(:,2))
%hold on
%plot(x(locs), pure_brain(locs,2), '^r')
%hold off
%grid
%Pure Brain Dot
figure
Lv = y>1;
plot(x(Lv), pure_liver(Lv), '.r')
grid
title('Pure Liver peak');
%save files
%dlmwrite('pks_data.csv',pks);
This is my code and my data
All the ‘pks’ values are greater than 1, and range from 102 to 45448:
pure_liver = readmatrix('Pure Liver Spectra.csv');
[pks,locs] = findpeaks(pure_liver(:,2));
x = 1:size(pure_liver,1);
[pks_min,pks_max] = bounds(pks) % Minimum & Maximum Values Of ‘pks’
figure
Lv = pure_liver(locs,2)>1E+4; % Set Threshold = 1E+4
% Lv = pure_liver(locs,2)>1; % Set Threshold = 1
plot(x(locs(Lv)), pure_liver(locs(Lv),2), '.r')
grid
title('Pure Liver peak');
Note that what appears to be ‘1’ on the plot is actually . Choose the ‘Lv’ assignment that does what you want.

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