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Home/ Questions/Q 8818439
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Editorial Team
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Editorial Team
Asked: June 14, 20262026-06-14T05:06:20+00:00 2026-06-14T05:06:20+00:00

I simply want to create an empty 10*3*2 array with Python. I first thought

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I simply want to create an empty 10*3*2 array with Python.

I first thought of these one, but this is not working:

parameters = [ [ [] * 2 ]*3 ] * 10

this gives me a vector of ten vectors, with three [] elements in it:

[[[], [], []], [[], [], []], [[], [], []], [[], [], []], [[], [], []], 
[[], [], []], [[], [], []], [[], [], []], [[], [], []], [[], [], []]]

that is , if I want to access parameters[0][0][1] I am out of bounds, whereas I want a dimension 2 for the innermost vectors along the third dimension.

then I thought of this

[ [ [[] * 2] ]*3 ] * 10

I was thinking that [[] * 2] would now bring me the thing I want, an innermost two elements vector. I obtain

[[[[]], [[]], [[]]], [[[]], [[]], [[]]], [[[]], [[]], [[]]], 
[[[]], [[]], [[]]], [[[]], [[]], [[]]], [[[]], [[]], [[]]], 
[[[]], [[]], [[]]], [[[]], [[]], [[]]], [[[]], [[]], [[]]], [[[]], [[]], [[]]]]

So, how to do it, or how to escape this initialization?

Kd rgds.

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  1. Editorial Team
    Editorial Team
    2026-06-14T05:06:22+00:00Added an answer on June 14, 2026 at 5:06 am

    I would recommend you use Numpy for this kind of stuff. It makes accessing columns or rows much easier. For your use case you’d do

    import numpy as np
    
    matrix = np.zeros((2,3,10))
    second_col = matrix[:,1,:]
    

    Numpy will also take better care of your data, and it implements a lot of the matrix algebra in Fortran or C so it’s going to be a lot faster in the (possible) future when you’re doing matrix multiplication and the likes.

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