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

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SURESH KUMAR
SURESH KUMAR 2020-12-8
编辑： SURESH KUMAR 2020-12-11
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.

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Image Analyst
Image Analyst 2020-12-8
"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.
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SURESH KUMAR
SURESH KUMAR 2020-12-11
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 2020-12-11
编辑：SURESH KUMAR 2020-12-11
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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