Scale datetime to the length of longer array
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t1 = datetime([2023,03,03,10,00,0]);
t10 = datetime([2023,03,28,11,00,0]);
tstep = days(1);
T1 = t1:tstep:t10;
T1 = T1(1:length(FLWAll));
This is my datetime function that I can't get working. FLWAll is an 2500x1 long array which I want to plot against my datetime (T1). If i'm using tstep = seconds() or minutes() I can get the same length for my datetime and FLWAll, but I'd like to rescale the datetime "array" so that It shows days instead. Using tstep = days(1) I get a 1x26 datetime, which is way to short.
TLDR; I'm plotting FLWAll that is data ranging from 03-03/2023 to 28-03/2023, and I'd like to show a datetime as my X-axis, where the steps are in days.
1 Comment
chicken vector
on 28 Apr 2023
You need to provide some more information.
Your variable FLWAll is 2500x1 but what with what time-step?
Your total delta time is of 601 hours between t1 and t10, are the 2500 values linearly distributed over this interval?
Accepted Answer
Cris LaPierre
on 28 Apr 2023
There are 26 days between 3-3 and 28-3. That is what a step of 1 day will give you.
I would format the xticks to display in your preferred format, but create the vector in a way that makes it easy to get the increment you need.
FLWAll = rand(2500,1);
t1 = datetime([2023,03,03,10,00,0]);
t10 = datetime([2023,03,28,11,00,0]);
tstep = (t10-t1)/(length(FLWAll)-1);
T1 = t1:tstep:t10;
plot(T1,FLWAll)
% create tick for each day
xticks(t1:days(1):t10);
xtickformat('dd')
6 Comments
Cris LaPierre
on 1 May 2023
You can set the linespec if you want, but unless your sampling frequency is constant, you can't just arbitrarly combine data sets.
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