How to calculate the duration of data points in days

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Hi,
I have a daily data series with pulses. The data is for 1 year (starts in 1st day and end 365 days) but there are NAN values between as shown in image below.
Then I want to determine individual duration and mean duration for the three pulses with data e.g the duration from a1-a2, b1-b2, and c1-c2. Since i do have alot of data of this type i wanted some kind of loop to do the problem, because manual counting takes to much time.
Can someone help me with some code to determine this? Alternatively, a different way of determining the same thing would be appreciated.
Start_Date = datenum(1995,01,01);
End_Date = datenum(1995,12,31);
YearlyVEC = datevec((Start_Date:End_Date)');
So i wanted to determine the day also from the variable YearlyVEC,
a data of the pulses is also attched below
Thanks!

Accepted Answer

Star Strider
Star Strider on 19 Oct 2021
Try something like this —
Data = readmatrix('https://www.mathworks.com/matlabcentral/answers/uploaded_files/772213/pulses.txt');
Days = 1:numel(Data);
NaNStart = strfind(~isnan(Data(:).'), [0 1])+1;
NaNStop = strfind(~isnan(Data(:).'), [1 0]);
DiffDays = NaNStop - NaNStart;
cntr = NaNStart + DiffDays/2;
figure
plot(Days, Data)
hold on
% plot(Days(NaNStart), Data(NaNStart), '>r')
% plot(Days(NaNStop), Data(NaNStop), '<r')
hold off
grid
text(cntr, ones(size(cntr)).*min(Data([NaNStart; NaNStop])), compose('\\leftarrow %.0f Days\\rightarrow', DiffDays), 'Horiz','center', 'Vert','middle')
.
  5 Comments
Star Strider
Star Strider on 21 Oct 2021
Noted!
My code worked for the example shown, however it may not be uniformly robust to all such data (as you discovered). Your modifications to it are appropriate.
.

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