combining 2D arrays to 3D arrays

Question

Hello I have 3 numpy arrays as given below.

>>> print A
[[ 1.  0.  0.]
 [ 3.  0.  0.]
 [ 5.  2.  0.]
 [ 2.  0.  0.]
 [ 1.  2.  1.]]
>>> pri         


        

Answer 1

No need to use vstack, hstack. Just swap the axis using np.swapaxes:

>>> d=array([a, b, c])
>>> d
array([[[ 1,  0,  0],
        [ 3,  0,  0],
        [ 5,  2,  0],
        [ 2,  0,  0],
        [ 1,  2,  1]],

       [[ 5,  9,  9],
        [37,  8,  9],
        [49,  8,  3],
        [ 3,  3,  1],
        [ 4,  4,  5]],

       [[ 0,  0,  0],
        [ 0,  6,  0],
        [ 1,  4,  6],
        [ 6,  2,  0],
        [ 0,  5,  4]]])
>>> swapaxes(d, 0, 1)
array([[[ 1,  0,  0],
        [ 5,  9,  9],
        [ 0,  0,  0]],

       [[ 3,  0,  0],
        [37,  8,  9],
        [ 0,  6,  0]],

       [[ 5,  2,  0],
        [49,  8,  3],
        [ 1,  4,  6]],

       [[ 2,  0,  0],
        [ 3,  3,  1],
        [ 6,  2,  0]],

       [[ 1,  2,  1],
        [ 4,  4,  5],
        [ 0,  5,  4]]])