Numpy 2d and 1d array to latex bmatrix

I'm looking for a clean way to migrate numpy arrays to latex bmatrix. It should work for both 2d arrays and horizontal and vertical 1d array.

Example

A = array([[12, 5, 2],
           [20, 4, 8],
           [ 2, 4, 3],
           [ 7, 1,10]])

print A              #2d array
print A[0]           #horizontal array
print A[:,0, None]   #vertical array

array_to_bmatrix(A)
array_to_bmatrix(A[0])
array_to_bmatrix(A[:,0, None])

Out:

[[12  5  2]
 [20  4  8]
 [ 2  4  3]
 [ 7  1 10]]

[12  5  2]

[[12]
 [20]
 [ 2]
 [ 7]]

\begin{bmatrix} 
 12.000 & 5.000 & 2.000 & \\
 20.000 & 4.000 & 8.000 & \\
 2.000 & 4.000 & 3.000 & \\
 7.000 & 1.000 & 10.000 & \\
\end{bmatrix}

\begin{bmatrix} 
 12.000 & 5.000 & 2.000
\end{bmatrix}

\begin{bmatrix} 
 12.000 & \\
 20.000 & \\
 2.000 & \\
 7.000 & \\
\end{bmatrix}

Attempt of solution

def array_to_bmatrix(array):
    begin = '\\begin{bmatrix} \n'
    data = ''
    for line in array:        
        if line.size == 1:
            data = data + ' %.3f &'%line
            data = data + r' \\'
            data = data + '\n'
            continue
        for element in line:
            data = data + ' %.3f &'%element

        data = data + r' \\'
        data = data + '\n'
    end = '\end{bmatrix}'
    print begin + data + end  

This solution works for vertical and 2d arrays, however it outputs horizontal arrays as vertical ones.

array_to_bmatrix(A[0])

Out:

\begin{bmatrix} 
 12.000 & \\
 5.000 & \\
 2.000 & \\
\end{bmatrix}