cvxMat = matrix(pdObj.as_matrix())
pdObj[:]=np.array(cvxMat)

(matrix(pdObj.as_matrix()).T*cvxMat)[0]

>>> m1 = cvxopt.matrix([[1, 2, 3], [2, 3, 4]])
>>> m2 = pd.DataFrame(np.array(m1)).T

>>> m1
<3x2 matrix, tc='i'>

>>> m2.shape
(2, 3)

>>> np.dot(m1,m2)
array([[ 5,  8, 11],
       [ 8, 13, 18],
       [11, 18, 25]])

>>> m1 * m2
   0  1   2
0  1  4   9
1  4  9  16

[2 rows x 3 columns]

In [90]: m1 = cvxopt.matrix([[1, 2, 3], [2, 3, 4]])

In [91]: m2 = np.matrix([[1, 2, 3], [2, 3, 4]])

In [92]: m1
Out[92]: <3x2 matrix, tc='i'>

In [94]: m2.shape
Out[94]: (2, 3)

In [95]: m1 * m2
Out[95]:
matrix([[ 5,  8, 11],
        [ 8, 13, 18],
        [11, 18, 25]])

def dot( A, B ):
    """ np.dot .value or .values if they exist """
    for val in "value values" .split():
        A = getattr( A, val, A )  # A.val or A
        B = getattr( B, val, B )
    A = np.asanyarray( A )
    B = np.asanyarray( B )
    try:
        np.dot( A, B )
    except ValueError:
        print >>sys.stderr, "error: can't dot shapes %s x %s" % (A.shape, B.shape)
        raise