python - Reshape a numpy array -

although have tried np.reshape , transpose, not getting desired output.

i have numpy array looks this:

>>> = np.array([[1, 1, 2, 2],[1, 1, 2, 2],[1, 1, 2,2]]) >>> array([[1, 1, 2, 2],        [1, 1, 2, 2],        [1, 1, 2, 2]]) 

i want following:

>>> b = np.array([[1, 2],[1,2],[1,2],[1, 2],[1,2],[1,2]]) >>> b array([[1, 2],        [1, 2],        [1, 2],        [1, 2],        [1, 2],        [1, 2]]) 

the best can in 4 lines of code:

e, f = np.hsplit(a,2) e = e.reshape(np.size(e)) f = f.reshape(np.size(f)) b = np.vstack((e,f)).t 

can provide me pythonic way reshape array in manner?

it not clear looking using 1s , 2s in example. please use letters or unique numbers mapping clearer.

i able jiggling make work i'm not 100% if mapping want. see steps below:

>>> = np.array([[1, 1, 2, 2],[1, 1, 2, 2],[1, 1, 2,2]])  array([[1, 1, 2, 2],        [1, 1, 2, 2],        [1, 1, 2, 2]])   >>> a.reshape(6,2)  array([[1, 1],        [2, 2],        [1, 1],        [2, 2],        [1, 1],        [2, 2]])  >>> a.reshape(6,2).transpose()  array([[1, 2, 1, 2, 1, 2],        [1, 2, 1, 2, 1, 2]])  >>> a.reshape(6,2).transpose().reshape(6,2)  array([[1, 2],        [1, 2],        [1, 2],        [1, 2],        [1, 2],        [1, 2]])