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Collecting and Reploting the Multiple Samples that have been taken from a already plotted Graph using the text data files having alot of values

2 visualizzazioni (ultimi 30 giorni)
i have a program in which ihave collected the sensor data like powers of 6 sectors and time in seconds so in data text file i have total 7 colums and more than 75210000 rows means you can say more than 500hours of data, now what i have to do to plot each sector power against the time on x-axis, already done, now i have to observesome changes within the plot and have to select some random intervals within the graph and have to replot them all together but interval i have to take should be of half hour of duration. So my question is that how to take particular samples within some different intervals using X-axis on which my time has been ploted on X-Axis, and how to program this situation i dont want to use any tool like variables but want to program to take the sample and plot them all toegther so that i can see the comparison in all samples with different time of same duration of intervals . thanks i will be very thanksfull to all your suggestions and advises.

Risposte (1)

Image Analyst
Image Analyst il 8 Dic 2020
"i dont want to use any tool like variables" <== huh??? A program with no variables??? Anyway... use randperm() to get two random indexes then extract those segments and plot them. Untested code
t = data(:, 1); % Assuming time/x is in column 1
numberOfSegmentsToPlot = 50; % Whatever you want.
for k = 1 : numberOfSegmentsToPlot
% Get two random indexes:
indexes = sort(randperm(length(t), 2), 'ascend');
% Extract x between those two indexes, inclusive
subx = t(indexes(1) : indexes(2));
% Now get all 6 powers between those two interval endpoints.
for col = 2 : size(data, 2) % For columns 2 to the right edge
% Extract power in column 3 (or whatever) between those two indexes, inclusive
power = data(indexes(1) : indexes(2), 3);
% Plot vs x.
plot(subx, power, '-', 'LineWidth', 1);
% Eliminate subx if you want them all overlapped instead of using actual x values.
% plot(power, '-', 'LineWidth', 1);
hold on;
end
end
grid on;
xlabel('Time', 'FontSize', 16);
ylabel('Power', 'FontSize', 16)
title('Suresh is an awesome dude', 'FontSize', 16); % Whatever you want.
Attach your data and code to read it in if you need more help.
  12 Commenti
SURESH KUMAR
SURESH KUMAR il 11 Dic 2020
you code is not making any output, however i have tried this one figure;
McIdx = (time >=8.5 ) & (time <= 10);
%McIdx = (time >=9.3 ) & (time <= 9.8); second sample
%McIdx = (time >=11 ) & (time <= 11.5); 3rd sample
%McIdx = (time >=2) & (time <= 2.5); second sample
% Select Elements (Logical Vector)
plot(time(McIdx), px(McIdx),'r', 'linewidth',.5)
hold on
plot(time(McIdx), py(McIdx),'b', 'linewidth',.5)
% Plot Range
hold on
plot(time(McIdx), pz(McIdx),'m', 'linewidth',.5)
% Plot Range
hold on
plot(time(McIdx), pa(McIdx),'c', 'linewidth',.5)
% Plot Range
hold on
xlabel('time[h]');
ylabel('Power - P_{avg} [mW]');
legend('Location','best');
legend('Ch0(up)','Ch1(down)','Ch3(up)','Ch4(down)');
grid on;
outup:
it shows me one sample in new figure now i want my all four sample in new figure with all together as i sent you in previous comment an example picture of plot that i want how to do that ? in new figure the time on axis should starte from 0- onwards tilll the actucaly time limit of all samples like suppose my sample make a duartion of 5 hours all together, now time on axis 0-5hours using previous time formula that i already have define in whole program that is extarcted from data text file using this formula time=time_raw/.......
SURESH KUMAR
SURESH KUMAR il 11 Dic 2020
Modificato: SURESH KUMAR il 11 Dic 2020
complete code is this ...
close all;
% j=0;
% k=1;
% m=length(heaterdata);
% Theater=zeros(7173,1);
% for j=1:m
% str=heaterdata(j);
% word=strread(str,'%11s');
% if mod(j,2)== 0
% Theater(k)=str2num(word{2});
% k=k+1;
% end
% end
%time_raw = data{:,1};
time_raw =Number;
n = length(time_raw);
window = 64;
Ihigh = 0.0165;
Ilow = 0.005;
Kcemento=0.4;
PowerCh1=PWMupCh0Ohm;
PowerCh2=PWMupCh1Ohm;
PowerCh3=PWMupCh2Ohm;
PowerCh4=PWMupCh3Ohm;
PowerCh5=PWMupCh4Ohm;
PowerCh6=PWMupCh5Ohm;
Pt1000=Rpt1kOhm;
flux=zeros(n,1);
distance=0.03;
time=zeros(n,1);
PowMeas1=zeros(n,1);
PowMeas2=zeros(n,1);
PowMeas3=zeros(n,1);
PowMeas4=zeros(n,1);
PowMeas5=zeros(n,1);
PowMeas6=zeros(n,1);
PowMeas1n=zeros(n,1);
PowMeas2n=zeros(n,1);
PowMeas3n=zeros(n,1);
PowMeas4n=zeros(n,1);
PowMeas5n=zeros(n,1);
PowMeas6n=zeros(n,1);
Tamb=zeros(n,1);
% PowMeas5=zeros(n,1);
% PowMeas6=zeros(n,1);
% Tempsector1=zeros(n,1);
% Tempsector2=zeros(n,1);
% Tempsector3=zeros(n,1);
% Tempsector4=zeros(n,1);
% Tempsector5=zeros(n,1);
% Tempsector6=zeros(n,1);
period = 31250;
roA=176.5/(1+0.003*21);
roB=179.2578/(1+0.003*21);
roC=172.6640/(1+0.003*21);
ro2A=172.996/(1+0.003*21);
ro2B=189.098/(1+0.003*21);
ro2C=174.5429/(1+0.003*21);
for i = 1:n
time(i)=((time_raw(i)/40000000)*16777216)/3600;
end
PowMeas1= (PowerCh1/period)*100;
PowMeas2= (PowerCh2/period)*100;
PowMeas3= (PowerCh3/period)*100;
PowMeas4= (PowerCh4/period)*100;
PowMeas5= (PowerCh5/period)*100;
PowMeas6= (PowerCh6/period)*100;
Tamb=(Pt1000-1000)/3.85;
Ttarget=(113.367/100-1)/0.00386;
avg=(PowMeas1+PowMeas2+PowMeas4+PowMeas5)/4;
%flux(i)=((Theater(i)-Tamb(i))*Kcemento)/distance;
PowMeas1n=PowMeas1./avg;
PowMeas2n=PowMeas2./avg;
PowMeas3n=PowMeas3./avg;
PowMeas4n=PowMeas4./avg;
PowMeas5n=PowMeas5./avg;
PowMeas6n=PowMeas6./avg;
%PowMeas3(i)= (PowerCh3(i)/period)*100;
% PowMeas5(i)= (PowerCh5(i)/period)*100;
% PowMeas6(i)= (PowerCh6(i)/period)*100;
% Tempsector1(i)=((ResCh1(i)/roA-1)/0.003);
% Tempsector2(i)=((ResCh2(i)/roB-1)/0.003);
% Tempsector3(i)=((ResCh3(i)/roC-1)/0.003);
% Tempsector4(i)=((ResCh4(i)/ro2A-1)/0.003);
% Tempsector5(i)=((ResCh5(i)/ro2B-1)/0.003);
% Tempsector6(i)=((ResCh6(i)/ro2C-1)/0.003);
convP1 = conv(PowMeas1, ones(1, window)/window, 'same');
convP2 = conv(PowMeas2, ones(1, window)/window, 'same');
convP3 = conv(PowMeas3, ones(1, window)/window, 'same');
convP4 = conv(PowMeas4, ones(1, window)/window, 'same');
convP5 = conv(PowMeas5, ones(1, window)/window, 'same');
convP6 = conv(PowMeas6, ones(1, window)/window, 'same');
convPn1 = conv(PowMeas1n, ones(1, window)/window, 'same');
convPn2 = conv(PowMeas2n, ones(1, window)/window, 'same');
convPn3 = conv(PowMeas3n, ones(1, window)/window, 'same');
convPn4 = conv(PowMeas4n, ones(1, window)/window, 'same');
convPn5 = conv(PowMeas5n, ones(1, window)/window, 'same');
convPn6 = conv(PowMeas6n, ones(1, window)/window, 'same');
convPt = conv(Tamb, ones(1, window)/window, 'same');
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
Imax=16.5e-3;
Imin=5e-3;
Rtarget=113.367;
P1=Imin^2*Rtarget*(100-convP1)/100+Imax^2*Rtarget*convP1/100;
P2=Imin^2*Rtarget*(100-convP2)/100+Imax^2*Rtarget*convP2/100;
P4=Imin^2*Rtarget*(100-convP4)/100+Imax^2*Rtarget*convP4/100;
P5=Imin^2*Rtarget*(100-convP5)/100+Imax^2*Rtarget*convP5/100;
Off=(P1+P2+P4+P5)/4;
figure;
plot(time,(P1-Off)*1000,'r', 'linewidth',.5)
hold on;
plot(time,(P2-Off)*1000,'b', 'linewidth',.5)
hold on;
%plot(time_good,convP3_good./O,'g', 'linewidth',.5)
hold on;
plot(time,(P4-Off)*1000,'m', 'linewidth',.5)
hold on;
plot(time,(P5-Off)*1000,'c', 'linewidth',.5)
hold on;
%plot(time_good,convP6_good./O,'y', 'linewidth',.5)
xlabel('time[h]');
ylabel('Power - P_{avg} [mW]');
legend('Location','best');
legend('Ch0(up)','Ch1(down)','Ch3(up)','Ch4(down)');
grid on;
%xlim([0 6]);
%figure;plot(hf);grid on
figure;
plot(time,(Off)*1000,'k', 'linewidth',.5)
xlabel('time[h]');
ylabel('P_{avg} [mW]');
grid on;
%xlim([0 6]);
ylim([0 20]);
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%n20=4;n30_8=n20;n81=n30_8;
%while time(n20)<20
% n20=n20+1;
%end
%while time(n30_8)<30.8
% n30_8=n30_8+1;
%end
%while time(n81)<80.8
% n81=n81+1;
%end
O=1/4*(convP1+convP2+convP4+convP5);
P0=convP1-O;
P1=convP2-O;
P3=convP4-O;
P4=convP5-O;
hf_estimator=(P0+P1).^2+(P3+P4).^2+(P0-P1).^2+(P3-P4).^2;
figure;plot(time,hf_estimator);grid on;ylim([0,1000]);
figure;plot(time,O);grid on
Imax=16.5e-3;
Imin=5e-3;
Rtarget=113.367;
P1=Imin^2*Rtarget*(100-convP1)/100+Imax^2*Rtarget*convP1/100;
P2=Imin^2*Rtarget*(100-convP2)/100+Imax^2*Rtarget*convP2/100;
P4=Imin^2*Rtarget*(100-convP4)/100+Imax^2*Rtarget*convP4/100;
P5=Imin^2*Rtarget*(100-convP5)/100+Imax^2*Rtarget*convP5/100;
Off=(P1+P2+P4+P5)/4;
figure;subplot(2,1,1);
plot(time,(P1-Off)*1000,'r', 'linewidth',.5)
hold on;
plot(time,(P2-Off)*1000,'b', 'linewidth',.5)
hold on;
%plot(time_good,convP3_good./O,'g', 'linewidth',.5)
hold on;
plot(time,(P4-Off)*1000,'m', 'linewidth',.5)
hold on;
plot(time,(P5-Off)*1000,'c', 'linewidth',.5)
hold on;
%plot(time_good,convP6_good./O,'y', 'linewidth',.5)
xlabel('time[h]');
ylabel('Power - P_{avg} [mW]');
legend('Location','best');
legend('Ch0(up)','Ch1(down)','Ch3(up)','Ch4(down)');
grid on;
%xlim([0 6]);
%figure;plot(hf);grid on
subplot(2,1,2);
plot(time,(Off)*1000*4,'k', 'linewidth',.5)
xlabel('time[h]');
ylabel('Total power of sphere [mW]');
grid on;
%xlim([0 6]);
%ylim([0 20]);
px=(P1-Off)*1000;
py=(P2-Off)*1000;
pz=(P4-Off)*1000;
pa=(P5-Off)*1000;
figure;
McIdx = (time >=8.5 ) & (time <= 10);
%McIdx = (time >=9.3 ) & (time <= 9.8); second sample
%McIdx = (time >=11 ) & (time <= 11.5); 3rd sample
%McIdx = (time >=2) & (time <= 2.5); second sample
% Select Elements (Logical Vector)
plot(time(McIdx), px(McIdx),'r', 'linewidth',.5)
hold on
plot(time(McIdx), py(McIdx),'b', 'linewidth',.5)
% Plot Range
hold on
plot(time(McIdx), pz(McIdx),'m', 'linewidth',.5)
% Plot Range
hold on
plot(time(McIdx), pa(McIdx),'c', 'linewidth',.5)
% Plot Range
hold on
xlabel('time[h]');
ylabel('Power - P_{avg} [mW]');
legend('Location','best');
legend('Ch0(up)','Ch1(down)','Ch3(up)','Ch4(down)');
grid on;
%Kr=px-pz/25;
%%%%%%%%%%%%%%%%%%%%%
figure;
%t = data(:, 1); % Assuming time/x is in column 1
numberOfSegmentsToPlot = 1; % Whatever you want.
n1 = length(time1);
for k = 0 : numberOfSegmentsToPlot
% Get two random indexes:
s = sort(randperm(length(time1),2), 'ascend');
% Extract x between those two indexes, inclusive
subx = time1(s(8) : s(9));
% Now get all 6 powers between those two interval endpoints.
for k1=0:numberOfSegmentsToPlot % For columns 2 to the right edge
% Extract power in column 3 (or whatever) between those two indexes, inclusive
px1 = px(s(8) : s(9));
% Plot vs x.
plot(px1, 'r', 'LineWidth', 0.5);
% Eliminate subx if you want them all overlapped instead of using actual x values.
% plot(power, '-', 'LineWidth', 1);
hold on;
end
end
xlabel('time[h]');
ylabel('power per channel [mW]');
grid on;
%xlim([0 6]);
%ylim([0 20]);
%%%%%%%%%%%%%%%
close all;
% j=0;
% k=1;
% m=length(heaterdata);
% Theater=zeros(7173,1);
% for j=1:m
% str=heaterdata(j);
% word=strread(str,'%11s');
% if mod(j,2)== 0
% Theater(k)=str2num(word{2});
% k=k+1;
% end
% end
%time_raw = data{:,1};
time_raw =Number;
n = length(time_raw);
window = 64;
Ihigh = 0.0165;
Ilow = 0.005;
Kcemento=0.4;
PowerCh1=PWMupCh0Ohm;
PowerCh2=PWMupCh1Ohm;
PowerCh3=PWMupCh2Ohm;
PowerCh4=PWMupCh3Ohm;
PowerCh5=PWMupCh4Ohm;
PowerCh6=PWMupCh5Ohm;
Pt1000=Rpt1kOhm;
flux=zeros(n,1);
distance=0.03;
time=zeros(n,1);
PowMeas1=zeros(n,1);
PowMeas2=zeros(n,1);
PowMeas3=zeros(n,1);
PowMeas4=zeros(n,1);
PowMeas5=zeros(n,1);
PowMeas6=zeros(n,1);
PowMeas1n=zeros(n,1);
PowMeas2n=zeros(n,1);
PowMeas3n=zeros(n,1);
PowMeas4n=zeros(n,1);
PowMeas5n=zeros(n,1);
PowMeas6n=zeros(n,1);
Tamb=zeros(n,1);
% PowMeas5=zeros(n,1);
% PowMeas6=zeros(n,1);
% Tempsector1=zeros(n,1);
% Tempsector2=zeros(n,1);
% Tempsector3=zeros(n,1);
% Tempsector4=zeros(n,1);
% Tempsector5=zeros(n,1);
% Tempsector6=zeros(n,1);
period = 31250;
roA=176.5/(1+0.003*21);
roB=179.2578/(1+0.003*21);
roC=172.6640/(1+0.003*21);
ro2A=172.996/(1+0.003*21);
ro2B=189.098/(1+0.003*21);
ro2C=174.5429/(1+0.003*21);
for i = 1:n
time(i)=((time_raw(i)/40000000)*16777216)/3600;
end
PowMeas1= (PowerCh1/period)*100;
PowMeas2= (PowerCh2/period)*100;
PowMeas3= (PowerCh3/period)*100;
PowMeas4= (PowerCh4/period)*100;
PowMeas5= (PowerCh5/period)*100;
PowMeas6= (PowerCh6/period)*100;
Tamb=(Pt1000-1000)/3.85;
Ttarget=(113.367/100-1)/0.00386;
avg=(PowMeas1+PowMeas2+PowMeas4+PowMeas5)/4;
%flux(i)=((Theater(i)-Tamb(i))*Kcemento)/distance;
PowMeas1n=PowMeas1./avg;
PowMeas2n=PowMeas2./avg;
PowMeas3n=PowMeas3./avg;
PowMeas4n=PowMeas4./avg;
PowMeas5n=PowMeas5./avg;
PowMeas6n=PowMeas6./avg;
%PowMeas3(i)= (PowerCh3(i)/period)*100;
% PowMeas5(i)= (PowerCh5(i)/period)*100;
% PowMeas6(i)= (PowerCh6(i)/period)*100;
% Tempsector1(i)=((ResCh1(i)/roA-1)/0.003);
% Tempsector2(i)=((ResCh2(i)/roB-1)/0.003);
% Tempsector3(i)=((ResCh3(i)/roC-1)/0.003);
% Tempsector4(i)=((ResCh4(i)/ro2A-1)/0.003);
% Tempsector5(i)=((ResCh5(i)/ro2B-1)/0.003);
% Tempsector6(i)=((ResCh6(i)/ro2C-1)/0.003);
convP1 = conv(PowMeas1, ones(1, window)/window, 'same');
convP2 = conv(PowMeas2, ones(1, window)/window, 'same');
convP3 = conv(PowMeas3, ones(1, window)/window, 'same');
convP4 = conv(PowMeas4, ones(1, window)/window, 'same');
convP5 = conv(PowMeas5, ones(1, window)/window, 'same');
convP6 = conv(PowMeas6, ones(1, window)/window, 'same');
convPn1 = conv(PowMeas1n, ones(1, window)/window, 'same');
convPn2 = conv(PowMeas2n, ones(1, window)/window, 'same');
convPn3 = conv(PowMeas3n, ones(1, window)/window, 'same');
convPn4 = conv(PowMeas4n, ones(1, window)/window, 'same');
convPn5 = conv(PowMeas5n, ones(1, window)/window, 'same');
convPn6 = conv(PowMeas6n, ones(1, window)/window, 'same');
convPt = conv(Tamb, ones(1, window)/window, 'same');
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
Imax=16.5e-3;
Imin=5e-3;
Rtarget=113.367;
P1=Imin^2*Rtarget*(100-convP1)/100+Imax^2*Rtarget*convP1/100;
P2=Imin^2*Rtarget*(100-convP2)/100+Imax^2*Rtarget*convP2/100;
P4=Imin^2*Rtarget*(100-convP4)/100+Imax^2*Rtarget*convP4/100;
P5=Imin^2*Rtarget*(100-convP5)/100+Imax^2*Rtarget*convP5/100;
Off=(P1+P2+P4+P5)/4;
figure;
plot(time,(P1-Off)*1000,'r', 'linewidth',.5)
hold on;
plot(time,(P2-Off)*1000,'b', 'linewidth',.5)
hold on;
%plot(time_good,convP3_good./O,'g', 'linewidth',.5)
hold on;
plot(time,(P4-Off)*1000,'m', 'linewidth',.5)
hold on;
plot(time,(P5-Off)*1000,'c', 'linewidth',.5)
hold on;
%plot(time_good,convP6_good./O,'y', 'linewidth',.5)
xlabel('time[h]');
ylabel('Power - P_{avg} [mW]');
legend('Location','best');
legend('Ch0(up)','Ch1(down)','Ch3(up)','Ch4(down)');
grid on;
%xlim([0 6]);
%figure;plot(hf);grid on
figure;
plot(time,(Off)*1000,'k', 'linewidth',.5)
xlabel('time[h]');
ylabel('P_{avg} [mW]');
grid on;
%xlim([0 6]);
ylim([0 20]);
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%n20=4;n30_8=n20;n81=n30_8;
%while time(n20)<20
% n20=n20+1;
%end
%while time(n30_8)<30.8
% n30_8=n30_8+1;
%end
%while time(n81)<80.8
% n81=n81+1;
%end
O=1/4*(convP1+convP2+convP4+convP5);
P0=convP1-O;
P1=convP2-O;
P3=convP4-O;
P4=convP5-O;
hf_estimator=(P0+P1).^2+(P3+P4).^2+(P0-P1).^2+(P3-P4).^2;
figure;plot(time,hf_estimator);grid on;ylim([0,1000]);
figure;plot(time,O);grid on
Imax=16.5e-3;
Imin=5e-3;
Rtarget=113.367;
P1=Imin^2*Rtarget*(100-convP1)/100+Imax^2*Rtarget*convP1/100;
P2=Imin^2*Rtarget*(100-convP2)/100+Imax^2*Rtarget*convP2/100;
P4=Imin^2*Rtarget*(100-convP4)/100+Imax^2*Rtarget*convP4/100;
P5=Imin^2*Rtarget*(100-convP5)/100+Imax^2*Rtarget*convP5/100;
Off=(P1+P2+P4+P5)/4;
figure;subplot(2,1,1);
plot(time,(P1-Off)*1000,'r', 'linewidth',.5)
hold on;
plot(time,(P2-Off)*1000,'b', 'linewidth',.5)
hold on;
%plot(time_good,convP3_good./O,'g', 'linewidth',.5)
hold on;
plot(time,(P4-Off)*1000,'m', 'linewidth',.5)
hold on;
plot(time,(P5-Off)*1000,'c', 'linewidth',.5)
hold on;
%plot(time_good,convP6_good./O,'y', 'linewidth',.5)
xlabel('time[h]');
ylabel('Power - P_{avg} [mW]');
legend('Location','best');
legend('Ch0(up)','Ch1(down)','Ch3(up)','Ch4(down)');
grid on;
%xlim([0 6]);
%figure;plot(hf);grid on
subplot(2,1,2);
plot(time,(Off)*1000*4,'k', 'linewidth',.5)
xlabel('time[h]');
ylabel('Total power of sphere [mW]');
grid on;
%xlim([0 6]);
%ylim([0 20]);
px=(P1-Off)*1000;
py=(P2-Off)*1000;
pz=(P4-Off)*1000;
pa=(P5-Off)*1000;
figure;
McIdx = (time >=8.5 ) & (time <= 10);
%McIdx = (time >=9.3 ) & (time <= 9.8); second sample
%McIdx = (time >=11 ) & (time <= 11.5); 3rd sample
%McIdx = (time >=2) & (time <= 2.5); second sample
% Select Elements (Logical Vector)
plot(time(McIdx), px(McIdx),'r', 'linewidth',.5)
hold on
plot(time(McIdx), py(McIdx),'b', 'linewidth',.5)
% Plot Range
hold on
plot(time(McIdx), pz(McIdx),'m', 'linewidth',.5)
% Plot Range
hold on
plot(time(McIdx), pa(McIdx),'c', 'linewidth',.5)
% Plot Range
hold on
xlabel('time[h]');
ylabel('Power - P_{avg} [mW]');
legend('Location','best');
legend('Ch0(up)','Ch1(down)','Ch3(up)','Ch4(down)');
grid on;
%Kr=px-pz/25;
%%%%%%%%%%%%%%%%%%%%%
figure;
%t = data(:, 1); % Assuming time/x is in column 1
numberOfSegmentsToPlot = 1; % Whatever you want.
n1 = length(time1);
for k = 0 : numberOfSegmentsToPlot
% Get two random indexes:
s = sort(randperm(length(time1),2), 'ascend');
% Extract x between those two indexes, inclusive
subx = time1(s(8) : s(9));
% Now get all 6 powers between those two interval endpoints.
for k1=0:numberOfSegmentsToPlot % For columns 2 to the right edge
% Extract power in column 3 (or whatever) between those two indexes, inclusive
px1 = px(s(8) : s(9));
% Plot vs x.
plot(px1, 'r', 'LineWidth', 0.5);
% Eliminate subx if you want them all overlapped instead of using actual x values.
% plot(power, '-', 'LineWidth', 1);
hold on;
end
end
xlabel('time[h]');
ylabel('power per channel [mW]');
grid on;
%xlim([0 6]);
%ylim([0 20]);
%%%%%%%%%%%%%%%

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