Replace missing time steps in dataset

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Olav Kleppa
Olav Kleppa on 7 May 2020
Edited: Toder on 7 May 2020
I have a dataset with hourly measured data from 2013 to 2019. Some values are missing but not appearing in my dataset, and I want to include these values as NaN.
I have created a "true" time series:
%%
t1 = datenum(2013,10,1,0,0,0);
t2 = datenum(2019,10,1,0,0,0);
t = t1:(1/1440):t2;
And I also have the date number matrix,x, of my measurements, containing fewer elements. How can I fill in measured data in my new time series, and NaN where I dont have measurements?
I now have
t=52585x1 double
x=44719x1 double
Best regards,

Answers (1)

Toder
Toder on 7 May 2020
Edited: Toder on 7 May 2020
If data is the vector of your measurements at times x, you can try
Y = NaN(size(t));
Y(ismember(t,x)) = data;

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