how to arrange data into array

Hi,
i have imported some matrix data into matlab and upon parsing the data i have it in 3 vectors (columns):
column 1 are the row indices (i.e.):
[1;2;3;4]
column 2 are the column indices (i.e.):
[10;11;13;15]
and column 3 are the values in the matrix associated with those indices (i.e.):
[1e-5;5e-5;10e-5;15e-5]
I'd like to arrange this into a single 2-D array of column 3 data in the row locations of column1, and column locations of column2
I could do this with a loop, but im hoping to find a more elegant / less time intensive solution. I have about a million datapoints.
Thanks alot!

3 comentarios

James Tursa
James Tursa el 7 de En. de 2021
Do you know the desired size of the result up front? Or do you want to just use the max row and column indexes to determine the size of the result?
Tyler
Tyler el 10 de En. de 2021
i would use the max row and column indices
Tyler
Tyler el 10 de En. de 2021
turns out i can use the sparse() command, followed by the full() command to achieve my desired outcome.

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Respuestas (1)

Stephen23
Stephen23 el 10 de En. de 2021
Editada: Stephen23 el 10 de En. de 2021
Without an intermediate sparse array:
R = [1;2;3;4];
C = [10;11;13;15];
V = [1e-5;5e-5;10e-5;15e-5];
%
S = max([R,C],[],1);
M = zeros(S); % or NAN
M(sub2ind(S,R,C)) = V % only the first 10 columns are shown below
M = 4×15
0 0 0 0 0 0 0 0 0 0.0100 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0500 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.1000 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.1500

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R2016b

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el 7 de En. de 2021

Editada:

el 10 de En. de 2021

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