Python：矩阵列表到numpy数组？

Question

I've got a list containing numpy matrices. Anyway that I could turn the whole thing into a nice clean numpy array?

From:

[matrix([[1]]), matrix([[ 1.99387871]]), matrix([[ 2.53564618]]), matrix([[ 4.39125807]]), matrix([[ 4.246309]]), matrix([[ 5.21571607]]), matrix([[ 6.17408811]]), matrix([[ 4.75146571]]), matrix([[ 6.19319742]]), matrix([[ 6.1277607]]), matrix([[ 7.43821216]])]

To:

[[1 1.99387871 2.53564618 4.39125807 4.246309 5.21571607 6.17408811 4.75146571 6.19319742 6.1277607 7.43821216]]

Answer 1

b = np.asarray(a, dtype=float)
#to get the same shape do.
b = b.reshape(-1, len(b)) 
#to just get one dimmension do. 
b = np.asarray(a, dtype=float).reshape(len(a))