change matlab linear index to numpy.
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I have a three-dimensional matrix X with dimensions 16 x 10 x 1200. The original program used
for i = 3876:10000
My(:,:,i) = X(:,i)*X(:,i)';
end
Obviously, this program uses linear indexing in Matlab. I have read the relevant documentation for Matlab and NumPy, but I still do not know how to convert it to the corresponding operation in NumPy. Can anyone help me? Thank you very much.
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Kautuk Raj
le 3 Juin 2023
This can be the equivalent NumPy code for the given MATLAB code:
import numpy as np
X = np.random.rand(16, 10, 1200)
My = np.zeros((16, 16, 10000-3876+1))
for i in range(3876, 10001):
My[:, :, i-3876] = np.outer(X[:, i-1], X[:, i-1])
Note that we use i-1 as the index for X since Python uses 0-based indexing.
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