Concatenate 3 unidimensional arrays together in numpy

Question

I\'m leaving MatLab for numpy and in general it\'s going ok, but I\'m having a nightmare finding a nice pythonic way to do what would have done this in MatLab:

A         


        

Answer 1

>>> C=np.array([A,B,B])
>>> C
array([[1, 2, 3, 4],
       [5, 6, 7, 8],
       [5, 6, 7, 8]])

or:

>>> C=np.array([A,B,B]).swapaxes(1,0)
>>> C
array([[1, 5, 5],
       [2, 6, 6],
       [3, 7, 7],
       [4, 8, 8]])

Answer 2

You can use np.c_[A,B,B], which gives

array([[1, 5, 5],
       [2, 6, 6],
       [3, 7, 7],
       [4, 8, 8]])

Answer 3

I would use dstack

>>> A=np.array([1,2,3,4])
>>> B=np.array([5,6,7,8])
>>> np.dstack((A, B, B))
array([[[1, 5, 5],
        [2, 6, 6],
        [3, 7, 7],
        [4, 8, 8]]])