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I have below numpy array

import numpy as np
np.identity(13)

Now I like to replace all off-diagonal elements with some other number, say 0.45.

Is there any direct method available to perform this?

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2 Answers 2

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You can use numpy.where

np.where(np.identity(13)==0, 0.45, 1)
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What about the following?

import numpy as np
n = 13
val_offdiag = 0.45
val_diag = 1
a = np.full((n ,n), val_offdiag) - np.identity(n) * (val_offdiag - val_diag)

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