selection of specific data from graph and extract data

Question

AL il 14 Mar 2023

0
Link

Link diretto a questa domanda

https://it.mathworks.com/matlabcentral/answers/1928390-selection-of-specific-data-from-graph-and-extract-data

Commentato: Star Strider il 15 Mar 2023

%For given graph only peck values between 10 and 20hz is valuble and i like to extract phase value for specific point. 
%Right now my peck function is taking all the small changes, is there any way i can pass some filter or anything?
%Code:
header = 9;
delimiter = '\t';
ind = 1:100;
for i = 1:4
    filname = sprintf('H1, 2_I1sv%05d.txt',i);
    dat(i) =importdata(filname,delimiter,header);
    FRFdata = dat(i).data;
    f = FRFdata(:,1);
    a = FRFdata(:,2);
    b = FRFdata(:,3);
    amp = sqrt(a.^2 + b.^2);
    pha = (180/pi)* atan2(b,a);
    [Ypk,Xpk,Wpk1,Ppk] = findpeaks(amp(ind));
    figure(i)
    subplot(2,1,1),plot(f,amp,f(Xpk),Ypk,'dr') 
    grid on
    ylabel('Amp')
    xlim([0 40])
    ylim([0 2.4]) 
    subplot(2,1,2),plot(f,pha)
    grid on
    xlim([0 40])
    xlabel('Hz')
    ylabel('Phase')
end
%I am doing FRF analysis to find vibration modes

0 Commenti
Mostra -2 commenti meno recentiNascondi -2 commenti meno recenti

Accedi per commentare.

Accedi per rispondere a questa domanda.

Answer 1

Star Strider il 14 Mar 2023

1
Link

Link diretto a questa risposta

https://it.mathworks.com/matlabcentral/answers/1928390-selection-of-specific-data-from-graph-and-extract-data#answer_1192710

Apri in MATLAB Online

The findpeaks function has a number of name-value pair arguments that can be used to return only selected information.

See if:

[Ypk,Xpk,Wpk1,Ppk] = findpeaks(amp(ind), 'MinPeakProminence',0.5);

does what you want.

I also tweaked your code a bit to make it abit mor efficient, specifically using readmatrix and changing ‘amp’ and ‘pha’

header = 9;

delimiter = '\t';

ind = 1:100;

i = 1;

% for i = 1:4

% filname = sprintf('H1, 2_I1sv%05d.txt',i);

filname = 'https://www.mathworks.com/matlabcentral/answers/uploaded_files/1323755/H1,%202_I1sv00001.txt';

% dat(i) =importdata(filname,delimiter,header);

FRFdata = readmatrix(filname, 'HeaderLines',9);

% FRFdata = dat;

f = FRFdata(:,1);

a = FRFdata(:,2);

b = FRFdata(:,3);

amp = hypot(a,b); % Changed

pha = atan2d(b,a); % Changed

[Ypk,Xpk,Wpk1,Ppk] = findpeaks(amp(ind), 'MinPeakProminence',0.5); % Changed

figure(i)

subplot(2,1,1),plot(f,amp,f(Xpk),Ypk,'dr')

grid on

ylabel('Amp')

xlim([0 40])

ylim([0 2.4])

subplot(2,1,2),plot(f,pha, f(Xpk),pha(Xpk),'dr') % Changed

grid on

xlim([0 40])

xlabel('Hz')

ylabel('Phase')

% end

.

7 Commenti
Mostra 5 commenti meno recentiNascondi 5 commenti meno recenti

Star Strider il 14 Mar 2023

Apri in MATLAB Online

The fourth data file required a different approach, the problem being the ‘ind’ vector.

I adapted the code to work with all of them, and also to save the findpeaks output to individual cell arrays —

filenamesc = {'https://www.mathworks.com/matlabcentral/answers/uploaded_files/1323755/H1,%202_I1sv00001.txt'; 'https://www.mathworks.com/matlabcentral/answers/uploaded_files/1323760/H1,%202_I1sv00002.txt'; 'https://www.mathworks.com/matlabcentral/answers/uploaded_files/1323765/H1,%202_I1sv00003.txt'; 'https://www.mathworks.com/matlabcentral/answers/uploaded_files/1323770/H1,%202_I1sv00004.txt'};

header = 9;

delimiter = '\t';

ind = 1:100;

i = 1;

for i = 1:numel(filenamesc)

% filname = sprintf('H1, 2_I1sv%05d.txt',i);

filname = filenamesc{i};

% dat(i) =importdata(filname,delimiter,header);

FRFdata = readmatrix(filname, 'HeaderLines',9);

ind = 20:size(FRFdata,1); % Change 'ind'

% FRFdata = dat;

f = FRFdata(:,1);

a = FRFdata(:,2);

b = FRFdata(:,3);

amp = hypot(a,b); % Changed

pha = atan2d(b,a); % Changed

mpp = max(amp(ind))/4; % Adaptive 'MinPeakProminence' Value

[Ypk,Xpk,Wpk,Ppk] = findpeaks(amp(ind), 'MinPeakProminence',mpp, 'WidthReference','halfheight'); % Changed

Xpk = Xpk+min(ind)-1;

Ypkc{i} = Ypk; % Save To Cell Array

Xpkc{i} = Xpk; % Save To Cell Array

Wpkc{i} = Wpk; % Save To Cell Array

Ppkc{i} = Ppk; % Save To Cell Array

figure(i)

subplot(2,1,1),plot(f,amp,f(Xpk),Ypk,'dr')

grid on

ylabel('Amp')

xlim([0 40])

ylim([0 2.4])

subplot(2,1,2),plot(f,pha, f(Xpk),pha(Xpk),'dr') % Changed

grid on

xlim([0 40])

xlabel('Hz')

ylabel('Phase')

sgtitle("File "+string(i))

end

Results = table([Ypkc{:}],[Xpkc{:}],[Wpkc{:}],[Ppkc{:}], 'VariableNames',{'Ypk','Xpk','Wpk','Ppk'})

Results = 2×4 table

Ypk Xpk Wpk Ppk ___________________________________________ _______________________ ____________________________________ __________________________________________ 1.5942 1.5843 1.5803 0.1259 39 39 39 135 1.6724 1.7203 1.6891 3.465 1.5777 1.343 1.3789 0.11466 0.60418 2.2867 1.9136 0.045885 52 52 52 191 1.4212 1.4796 1.4388 7.6751 0.5718 2.2838 1.8899 0.032798

.

AL il 14 Mar 2023

Modificato: AL il 14 Mar 2023

I really appricate your effort one last question can you please explain me the logic behind following lines:

ind = 20:size(FRFdata,1); %why start from 20?

mpp = max(amp(ind))/4;

Like I tried playing with them to change the threshold value which can inclue the values for those frequancy as well shown in figure below. whenever, I change values of those it creates an error saying

Error using horzcat

Dimensions of arrays being concatenated are not consistent. (Error will be in Results)

this is my latest code:

header = 9;

delimiter = '\t';

ind = 1:100;

for i = 1:4

filname = sprintf('H1, 2_I1sv%05d.txt',i);

dat(i) =importdata(filname,delimiter,header);

FRFdata = readmatrix(filname, 'HeaderLines',9);

ind =20:size(FRFdata,1);

f = FRFdata(:,1);

a = FRFdata(:,2);

b = FRFdata(:,3);

amp = hypot(a,b);

pha = atan2d(b,a);

mpp = max(amp(ind))/4; % Adaptive 'MinPeakProminence' Value

[Ypk,Xpk,Wpk,Ppk] = findpeaks(amp(ind), 'MinPeakProminence',mpp, 'WidthReference','halfheight'); % Changed

Xpk = Xpk+min(ind)-1;

Ypkc{i} = Ypk; % Save To Cell Array

Xpkc{i} = Xpk; % Save To Cell Array

Wpkc{i} = Wpk; % Save To Cell Array

Ppkc{i} = Ppk; % Save To Cell Array

figure(i)

subplot(2,1,1),plot(f,amp,f(Xpk),Ypk,'dr')

grid on

ylabel('Amp')

xlim([0 40])

ylim([0 2.4])

subplot(2,1,2),plot(f,pha, f(Xpk),pha(Xpk),'dr') % Changed

grid on

xlim([0 40])

xlabel('Hz')

ylabel('Phase')

sgtitle("File "+string(i))

end

Results = table([Ypkc{:}],[Xpkc{:}],[Wpkc{:}],[Ppkc{:}], 'VariableNames',{'Ypk','Xpk','Wpk','Ppk'})

also, I am getting results for file 2,3, and 4 no graphs or results for data1.

any idea why this is happening?

I have tried:

ind =10:size(FRFdata,1); %ind =20:size(FRFdata,1);

mpp = max(amp(ind))/22; %mpp = max(amp(ind))/4;

I like to make this code generalized to find peak points and collect data for different dataset as well.

If you please explain me the logic it whould be helpful.

Star Strider il 14 Mar 2023

Apri in MATLAB Online

As always, my pleasure!

The choice of indices for ‘ind’ is arbitrary, and appears to work satisfactorily. Beginning at 20 eliminates the low-frequency peak in the beginning, because including it would cause problems for the ‘mpp’ result.

Those peaks other do not appear in all the spectra. Change the ‘mpp’ result to detect all the peaks you want to return.

The ‘Results’ table is simply for convenience. It is not required, and can safely be deleted. The data are saved in the various cell arrays, so nothing is lost by deleting ‘Results’.

This sorts all the returned data by ‘Ppk’ and returns the 4 peaks with the highest prominence, regardless of the 'MinPeakProminence' value, because it is not used here. (This also make the ‘Results’ table work again.)

You could also add ‘Fpk{i} = f(Xpk{i})’ to return the frequencies if you want to. If you add it to ‘Results’ be sure to add a 'VariableNames' entry for it as well.

The latest version —

filenamesc = {'https://www.mathworks.com/matlabcentral/answers/uploaded_files/1323755/H1,%202_I1sv00001.txt'; 'https://www.mathworks.com/matlabcentral/answers/uploaded_files/1323760/H1,%202_I1sv00002.txt'; 'https://www.mathworks.com/matlabcentral/answers/uploaded_files/1323765/H1,%202_I1sv00003.txt'; 'https://www.mathworks.com/matlabcentral/answers/uploaded_files/1323770/H1,%202_I1sv00004.txt'};

header = 9;

delimiter = '\t';

ind = 1:100;

i = 1;

for i = 1:numel(filenamesc)

% filname = sprintf('H1, 2_I1sv%05d.txt',i);

filname = filenamesc{i};

% dat(i) =importdata(filname,delimiter,header);

FRFdata = readmatrix(filname, 'HeaderLines',9);

ind = 2:size(FRFdata,1); % Change 'ind'

% FRFdata = dat;

f = FRFdata(:,1);

a = FRFdata(:,2);

b = FRFdata(:,3);

amp = hypot(a,b); % Changed

pha = atan2d(b,a); % Changed

mpp = max(amp(ind))/30; % Adaptive 'MinPeakProminence' Value

% [Ypk,Xpk,Wpk,Ppk] = findpeaks(amp(ind), 'MinPeakProminence',mpp, 'WidthReference','halfheight'); % Changed

[Ypk,Xpk,Wpk,Ppk] = findpeaks(amp(ind), 'WidthReference','halfheight'); % Changed

Xpk = Xpk+min(ind)-1;

[pv,mxidx] = maxk(Ppk,4);

Ypkc{i} = Ypk(mxidx); % Save To Cell Array

Xpkc{i} = Xpk(mxidx); % Save To Cell Array

Wpkc{i} = Wpk(mxidx); % Save To Cell Array

Ppkc{i} = Ppk(mxidx); % Save To Cell Array

figure(i)

subplot(2,1,1),plot(f,amp,f(Xpkc{i}),Ypkc{i},'dr')

grid on

ylabel('Amp')

xlim([0 40])

ylim([0 2.4])

subplot(2,1,2),plot(f,pha, f(Xpkc{i}),pha(Xpkc{i}),'dr') % Changed

grid on

xlim([0 40])

xlabel('Hz')

ylabel('Phase')

sgtitle("File "+string(i))

end

Results = table([Ypkc{:}],[Xpkc{:}],[Wpkc{:}],[Ppkc{:}], 'VariableNames',{'Ypk','Xpk','Wpk','Ppk'})

Results = 4×4 table

Ypk Xpk Wpk Ppk ____________________________________________ _______________________ ____________________________________ _______________________________________________ 1.5942 2.2867 1.9136 0.1259 39 52 52 135 1.6724 1.4796 1.4388 3.465 1.5777 2.2838 1.912 0.11466 0.60418 1.5843 1.5803 0.045885 52 39 39 191 1.4212 1.7203 1.6891 4.7291 0.5718 1.343 1.3789 0.032798 0.090036 0.29818 0.45969 0.018411 70 69 69 62 4 2.4146 2.0969 2.8026 0.03277 0.29515 0.42127 0.01134 0.035399 0.10936 0.15162 0.015571 4 17 17 34 1.6269 1.2849 1.2563 3 0.026676 0.10265 0.12791 0.0074241

.

AL il 15 Mar 2023

Good morning,

Thank you so much for solving my doubts.

This is my latest draft of the code:

header = 9;

delimiter = '\t';

num_files = 4;

Ypkc = cell(num_files, 1);

Xpkc = cell(num_files, 1);

Wpkc = cell(num_files, 1);

Ppkc = cell(num_files, 1);

freq = cell(num_files, 1);

pha_ = cell(num_files, 1);

for i = 1:num_files

filname = fullfile('.', sprintf('H1, 2_I1sv%05d.txt',i));

if exist(filname, 'file') ~= 2

warning('File %s does not exist', filname);

continue;

end

try

dat = importdata(filname, delimiter, header);

FRFdata = readmatrix(filname, 'HeaderLines', header);

f = FRFdata(:,1);

a = FRFdata(:,2);

b = FRFdata(:,3);

amp = hypot(a,b);

pha = atan2d(b,a);

ind = 2:size(FRFdata,1);

mpp = max(amp(ind))/30;

[Ypk,Xpk,Wpk,Ppk] = findpeaks(amp(ind),'MinPeakProminence',mpp, 'WidthReference','halfheight');

Xpk = Xpk + min(ind) - 1;

[pv,mxidx] = maxk(Ppk,4); % to get top 4 peak prominences

Ypkc{i} = Ypk(mxidx); % peak amp

Xpkc{i} = Xpk(mxidx); % peak locations

Wpkc{i} = Wpk(mxidx); % peak widths

Ppkc{i} = Ppk(mxidx); % peak prominences

freq{i} = f(Xpkc{i}); % Frequency

pha_{i} = pha(Xpkc{i}); % Phase

fprintf('File %d processed successfully\n', i);

catch ME

warning('Error processing file %s: %s', filname, ME.message);

end

figure(i)

subplot(2,1,1), plot(f, amp, f(Xpk), Ypk, 'dr')

grid on

ylabel('Amp')

xlim([0 40])

ylim("auto")

subplot(2,1,2), plot(f, pha, f(Xpk), pha(Xpk), 'dr')

grid on

xlim([0 40])

xlabel('Hz')

ylabel('Phase')

sgtitle("File " + string(i))

end

Results = table([freq{:}],[Ypkc{:}],[pha_{:}],[Xpkc{:}], 'VariableNames',{'Frequency','peak amp','Phase','peak locations '})

Result = sortrows(Results, 'Frequency','ascend');

clear a amp b dat delimiter f filname freq FRFdata;

clear header i ind mpp mxidx Ppk Ppkc pv Wpk Wpkc Xpk Xpkc Ypk Ypkc pha pha_ num_files;

I am only facing one problem related to the results.

I tried sorting results with respect to the frequency; however, the code which i have wrote will sort 1st column of the frequncy in ascending order and change all the other raws with respect to that.

do you know how can i make a table which will look something like this?

AL il 15 Mar 2023

Dear Star Strider,

I have solved the issue.

% Combine the results from all files into a single table

all_results = table();

for i = 1:num_files

% Add the results for the current file to the table

curr_results = table(freq{i}, Ypkc{i}, pha_{i}, Xpkc{i}, ...

'VariableNames', {'Frequency', 'PeakAmplitude', 'Phase', 'PeakLocation'});

curr_results = sortrows(curr_results, 'Frequency','ascend');

% Add a suffix to the variable names to avoid duplicates

suffix = ['_file' num2str(i)];

curr_results.Properties.VariableNames = strcat(curr_results.Properties.VariableNames, suffix);

all_results = [all_results curr_results]; % Concatenate horizontally

end

% Display the final table

disp(all_results);

clear a amp b dat delimiter f filname freq FRFdata suffix curr_results Results;

clear header i ind mpp mxidx Ppk Ppkc pv Wpk Wpkc Xpk Xpkc Ypk Ypkc pha pha_ num_files;

Have a wonderful day. Thank you so much for your effort and it was a good experience learning new things with you.

Star Strider il 15 Mar 2023

As always, my pleasure!

It appears that you got everything working the way you want!

You can put the file name in the sgtitle if you want to:

sgtitle("File: H1, 2\_I1s" + i + "v.txt")

.The backslant (\) is necessary to ‘escape’ the underscore so that it prints as an underscore and does not subscript the ‘I’ that follows it.

.

Accedi per commentare.

selection of specific data from graph and extract data

0 Commenti
Mostra -2 commenti meno recentiNascondi -2 commenti meno recenti

Risposta accettata

7 Commenti
Mostra 5 commenti meno recentiNascondi 5 commenti meno recenti

Più risposte (0)

Vedere anche

Categorie

Tag

Prodotti

Release

Community Treasure Hunt

selection of specific data from graph and extract data

0 Commenti Mostra -2 commenti meno recentiNascondi -2 commenti meno recenti

Risposta accettata

7 Commenti Mostra 5 commenti meno recentiNascondi 5 commenti meno recenti

Più risposte (0)

Vedere anche

Categorie

Tag

Prodotti

Release

Community Treasure Hunt

0 Commenti
Mostra -2 commenti meno recentiNascondi -2 commenti meno recenti

7 Commenti
Mostra 5 commenti meno recentiNascondi 5 commenti meno recenti