concatenate two one-dimensional to two columns array

Question

a = np.array([1, 2, 3])
aa = np.array([1], [2], [3])
b = np.array([1, 2, 3])
bb = np.array([1], [2], [3])
np.concatenate((a, b), axis = 1)
array([1, 2, 3, 1, 2, 3])     # It's ok, that's what I was expecting
np.concatenate((a, b), axis = 0)
array([1, 2, 3, 1, 2, 3])     # It's not ok, that's not what I was expecting

I was expecting:

array([[1, 2, 3],
       [1, 2, 3]])

even with aa and bb I get the same inconsistency. so is there a simple solution to concatenate along axis 0 two one-dimensional arrays?

Answer 1

Note that a and b are both one-dimensional; there's no axis 1 to concatenate along. You want vstack:

>>> import numpy as np
>>> a = np.array([1,2,3])
>>> b = a.copy()
>>> np.vstack([a,b])
array([[1, 2, 3],
       [1, 2, 3]])

Alternatively, you could reshape a and b first:

>>> np.concatenate([a[np.newaxis,:],b[np.newaxis,:]],axis = 0)
array([[1, 2, 3],
       [1, 2, 3]])