Why does this loop return the same value for the variable each time?
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Nicholas Kavouris
am 18 Mär. 2022
Kommentiert: Image Analyst
am 18 Mär. 2022
Why does this loop return '4' every iteration for temp status? attached is a plot of Z, which should not return temp_status(i) as 4 each iteration as many values in z are above 15 and others below-15?
temp_status=[];
x=diff(Temp_F);
z=conv(x,ones(300,1),"same");
figure()
y=plot(z)
for i=1:length(z)
if z>=15
temp_status(i)=1;
elseif z>=-15 & z<15
temp_status(i)=2;
elseif z<-15
temp_status(i)=3;
else
temp_status(i)=4;
end
end
9 Kommentare
AndresVar
am 18 Mär. 2022
Bearbeitet: AndresVar
am 18 Mär. 2022
@Nicholas Kavouris it seems weird at first but it's a really cool feature in matlab. Once you use it a lot you will hate other languages that don't have this feature.
Here is a toy example,
temp_status = [4 4 4 4]; % for example all start as 4
z=[10 12 15 16]; % the comparable
idxs = z>=15 % the conditional indexes
temp_status(idxs) = 1 % matlab recognizes logical indexing and only applies the assignment to the true "1" indices.
Only the 3rd and 4th values were changed from 4 to 1 because only indeces 3 and 4 were true (1)
Akzeptierte Antwort
Image Analyst
am 18 Mär. 2022
Try
temp_status=[];
x=diff(Temp_F);
z=conv(x,ones(300,1),"same");
figure()
y=plot(z)
indexes = z > 15;
temp_status(indexes) = 1;
indexes = (z >= -15) & (z <= 15);
temp_status(indexes) = 2;
indexes = z < -15;
temp_status(indexes) = 3;
2 Kommentare
Image Analyst
am 18 Mär. 2022
It's simpler than looping because it's faster and less lines, and vectorized. Basically the indexes is a mask that is true where the condition is true and false where the condition is false. Then the next line uses that mask as a logical vector so the assignment takes place only where the mask is true. You should learn how to do it this way. This is the real power of MATLAB. All experienced MATLAB programmers would do it that way. No serious MATLABer would use a for loop for something as simple as this. If you learn "logical indexing" and "linear indexing" and how they can be used for vectorized operations, you'll be glad you did. Invest 2 hours
You'll be glad you did because it will make you a better programmer. And you won't be using a loop all the time like those poor C programmers.
Weitere Antworten (2)
Simon Chan
am 18 Mär. 2022
Just an addition:
x=diff(Temp_F);
z=conv(x,ones(300,1),"same");
temp_status = (z>15) + (z>=-15 & z<15)*2 + (z<-15)*3;
Arif Hoq
am 18 Mär. 2022
try this:
A=load('Temp_F.mat');
temp_status=[];
Temp_F=A.Temp_F;
x=diff(Temp_F);
z=conv(x,ones(300,1));
figure()
y=plot(z);
for i=1:length(z)
if z(i)>=15
temp_status(i)=1;
elseif z(i)<=-15
temp_status(i)=3;
elseif z(i) > -15 & z(i) <15
temp_status(i)=2;
else
temp_status(i)=4
end
end
T=temp_status';
Z=z';
matrix=[Z(1:6) T(1:6)]
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