generate and save numerous datas in one code then load them in another code

Hi there, if I have two code 'A.m' and 'B.m' under the same file. In 'B.m' I will generate a few variables. I want to save those variables and then load them in 'A.m'. For example, I have p=randi([-5,5]); q=randn(3,2) in 'B.m', somehow I save them, then in 'A.m', after load, the p and q will appear in 'A.m' directly and can use them directly, just like after load , in the next line I can operate 'n=p+q'.

Answers (1)

% in A.m file
[p,q] = B % call the function wbich returns those outputs variables (values)
p = 3
q = 3×2
-2.0504 -0.5961 0.0466 1.8645 -0.2761 2.0829
n = p + q % add them directly as you wanted
n = 3×2
0.9496 2.4039 3.0466 4.8645 2.7239 5.0829
% in B.m save this in another m file with same name (say) B and in same
% folder
function [p,q] = B
p = randi([-5,5]);
q = randn(3,2);
end

3 Comments

you dont have to use load to access data directly. load needs to have data files saved in appropriate folder. Instead you could try it out with function call outputs as above
Hi, thank you for you answer. However, I know the 'function' way, the reason I want to do the 'save' and 'load' is that I will have huge datas generated from different distribution in B.m, so I want generate those data first, then load them to my main function, so that I don't need to generate those datas each time I run the main function. I gave the example p and q just for simple understanding of my question. In my actual code, B.m will contains 12 variables, each variables will extract value from different distribution for 20000 times.
In that case, you can load the data files( preferably *.mat) into workspace using a for loop
for k = 1:length(Files)
K{k} =
load(sprintf('file%d.mat',k));
end
K is an array of structures which contains data fields from each individual data file. This can accessed conveniently inside another loop in the main function including data present its fields. Hope it helps. Files is the number of data(mat) files present accessed.

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R2022b

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Asked:

on 10 Jan 2023

Edited:

on 11 Jan 2023

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