Replace some values to NaN using a condition found in a second vector

Hello everyone!

I am trying to clean a time series and I am having some trouble.

I have a variable DOY, which contains the day of the year and a variable H, which contains the data I am trying to clean. They are both 1200x1 in size.

Example: Between the days 321 and 330, I want every H>30 to be replaced with NaN. I don't want to simply create new variables because I have lots of conditions like this one to apply to the data.

I tried solutions like:

idx = find(DOY>=321 & DOY<=330);

if H(idx)>30

H(idx) = NaN;

end

In this one, nothing happened; Then, I tried multiple versions with a while loop, and the last one was that:

while true

idx = H<=9.6;

H(idx) = NaN;

if ~find(DOY>=330 && DOY<=336.3)

break

end

end

In all my while loops I get the same error "Operands to the || and && operators must be convertible to logical scalar values."

I wrote in different ways and still can fix this.

Thank you in advance for any tips you can give me!

Answer 1

[Thaís Lobato Sarmento]

I think I got it! I put all the conditions in a single find!

Answer 2

[KSSV]

idx = DOY >= 321 & DOY <= 330 ; 
H(idx) = NaN ; 

[Thaís Lobato Sarmento]

Unfortunately this doens't solve my problem..

What I need is, between DOY 321 and 330, to put NaN only on those places where H>30