sum function and add using loop
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I have a column vector with 31536001 number of rows.
e.g. [34 ;30; 14; 12; 54; 46; 47; 48; 49; ......10000]';
How can I write a command using a FOR loop, that adds the first 3600 elements together the "purpose is to change from seconds to hour", then the second element from 3601 s to 7200 second and so on.my data in seconds i need it in hour for one year i have 31536001 s and i need my factor to be 8760 hours
d=[1;2;3;4;5;6;................]
i need
[x1,x2,........]
which has
x1=(1+2+....3600)
thanks
1 comentario
Jan
el 26 de Feb. de 2013
Please use meaningful tags, because they are used to classify the questions. "matlab" is not helpful, beause all questions in a Matlab forum concern this topic.
What do you want to do with the last chunk, which does not contain 3600 elements?
Respuestas (4)
Jan
el 26 de Feb. de 2013
num = floor(length(d) / 3600);
result = zeros(1, num);
for k = 1:num
s = (k - 1) * 3600;
result(k) = sum(d(1+s:3600+s));
end
Or faster, but without FOR:
len = floor(length(d) / 3600) * 3600;
e = reshape(d(1:len), 3600, []);
result = sum(e);
3 comentarios
NURULAIN OTHMAN
el 29 de Nov. de 2016
i want to ask. i have some data from 1 to 24000. then, i grouped them 1 to 1000,1001 to 2000, 2001 to 3000 and so on. then, i want to sum up data 1 with data 1001 with data 2001.. how can i do? Can help me?
Jan
el 30 de Nov. de 2016
@NURULAIN OTHMAN: Please open a new thread for a new question. Then I'd post this answer:
x = rand(1, 24000);
result = sum(reshape(x, 1000, numel(x) / 1000), 1);
Honglei Chen
el 25 de Feb. de 2013
Here is an example that you have 10 elements and you add every two of them.
x = rand(10,1);
sum(reshape(x,2,[])).'
Miroslav Balda
el 26 de Feb. de 2013
Let your data be in vector data(1:31536001). Try this code:
k = 0;
K = 0;
x = zeros(1,8760);
while k<8760,
k = k+1;
x(K) = sum(data(1+K:3600+K));
K = K+3600;
end
Andrei Bobrov
el 26 de Feb. de 2013
Editada: Andrei Bobrov
el 26 de Feb. de 2013
data - your vector with size < 31536001 x 1 >;
n = numel(data);
[~,t] = histc(1:n,(0:3600:n) + eps(n));
out = accumarray(t(:),data(:));
or
out = sum(reshape([data;zeros(mod(-n,3600),1)],3600,[])).';
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