How to calculate the hourly data points?
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Hi everyone,
May someone help me here ..
I have a long data in time-date formate i.e. six columns YYYY MM DD HH MM SS. Each time values indicate an observation. I want to calcualte the number of observations per hours. It is importanmt to mentioned that frequency of observations is uneven i.e. 10 or 100 obsservation per hour and no observation for a couple of days. So the output must account the missing time as well wehre there is no observation recorded.
Thank You!
2 Comments
KSSV
on 6 Nov 2020
Let the given date be t1.
Geenerate the dates required from start to end of the data with hourly difference. Let this be t2.
Then get the indices you want from t1 using ismember.
Accepted Answer
Ameer Hamza
on 6 Nov 2020
Edited: Ameer Hamza
on 6 Nov 2020
Try retime():
T = readtable('data.xlsx');
t = datetime(T.YYYY, T.MM, T.DD, T.HH, T.MM_1, T.SS);
TT = timetable(t, ones(size(t)));
newTT = retime(tt, 'hourly', 'sum');
newT = table(newTT.t, newTT.Var1, 'VariableNames', {'Time', 'count'});
6 Comments
Peter Perkins
on 20 Nov 2020
Ameer solution is the right one, but actually, there's not really any need to turn newTT back into a table. You can leave it as a timetable.
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