How to separate two graphs plotted in one figure into two separate figures?

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Hi all,
What I am trying to do is to have one plot with the orange graph and another plot with the blue graph. However, right now the orange and blue graphs are being plotted together in one plot. How should I modify my code so that they are no longer plotted together in one plot?
Thanks in advance for your help.
  2 comentarios
Chunru
Chunru el 6 de Ag. de 2021
copy the code instead of screen capture.
Soeun Lee
Soeun Lee el 6 de Ag. de 2021
init_time=input('Initial time (s):')
init_mn=fix(init_time/60);
init_s= floor(init_time-(init_mn*60));
init_ms=(init_time-(init_s+(init_mn*60)))*1000;
end_time=input('End time (s):')
end_mn=fix(end_time/60);
end_s= floor(end_time-(end_mn*60));
end_ms=(end_time-(end_s+(end_mn*60)))*1000
for di=1:length(CHANNEL)
load (append('210603_bare-210727-182826','ch',string(CHANNEL(di))))
neural = timetable(RawData,'SampleRate',fs);
neural.Properties.VariableNames{1} = 'raw';
neural.Properties.VariableUnits{1} = 'Volts';
HighPass = 300;
LowPass = 5000;
[Z, P, K] = butter(5, [HighPass LowPass]/(fs/2), "bandpass");
sos = zp2sos(Z, P, K);
neural.raw = double(neural.raw);
neural.spikes = sosfilt(sos,RawData);
figure; plot(neural.Time,neural.spikes)
%for idx=1:NO_CHAN
%figure(idx)
%plot(neural.Time,neural.spikes)
%end
xlim([duration(0,init_mn,init_s,init_ms) duration(0,end_mn,end_s,end_ms)])
ylim([-1e-4 1e-4])
end

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Respuesta aceptada

Dave B
Dave B el 6 de Ag. de 2021
Editada: Dave B el 6 de Ag. de 2021
Is neural.Spikes two columns?
If so:
figure;
nexttile % starting in R2019b, in older versions subplot(1,2,1)
plot(neural.Time,neural.spikes(:,1))
nexttile % starting in R2019b, in older versions subplot(1,2,2)
plot(neural.Time,neural.spikes(:,2))
(If it's two rows, replace the (:,1) with (1,:) and (:,2) with (2,:))
Example:
t = 1:100;
spks = rand(100,2);
nexttile;
plot(t,spks(:,1))
nexttile
plot(t,spks(:,2))

Más respuestas (1)

Peter Perkins
Peter Perkins el 6 de Ag. de 2021
If spikes were two separate variables in a timetable (see splitvars), this would just be stackedplot(neural).

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