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Asked: 2026-06-18T06:37:41+00:00

Suppose the matrix is M= [[.10, .32, .20, .40, .80], [.23, .18, .56, .61,

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Suppose the matrix is M=

[[.10, .32, .20, .40, .80], 
 [.23, .18, .56, .61, .12], 
 [.90, .30, .60, .50, .30], 
 [.34, .75, .91, .19, .21]]

The average row vector is rav=

[ 0.3925  0.3875  0.5675  0.425   0.3575]

I want to subtract average row vector (rav) from each row vector in the above matrix (M)
i.e M(i)-rav.
How can I do that in an efficient way?

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1 Answer

  1. Editorial Team

    In pure Python

    >>> [[i-j for i,j in zip(m, rav)] for m in M]
[[-0.2925, -0.0675, -0.3675, -0.024999999999999967, 0.44250000000000006], [-0.1625, -0.20750000000000002, -0.007499999999999951, 0.185, -0.2375], [0.5075000000000001, -0.08750000000000002, 0.03249999999999997, 0.07500000000000001, -0.057499999999999996], [-0.05249999999999999, 0.3625, 0.3425, -0.235, -0.1475]]

    It will be faster to use numpy if you are doing a bunch of matrix operations. Converting to and from numpy matrices is fairly expensive.

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