Pythonic way to create a numpy array from a list of numpy arrays

Convenient way, using numpy.concatenate. I believe it’s also faster, than @unutbu’s answer:

In [32]: import numpy as np 

In [33]: list_of_arrays = list(map(lambda x: x * np.ones(2), range(5)))

In [34]: list_of_arrays
Out[34]: 
[array([ 0.,  0.]),
 array([ 1.,  1.]),
 array([ 2.,  2.]),
 array([ 3.,  3.]),
 array([ 4.,  4.])]

In [37]: shape = list(list_of_arrays[0].shape)

In [38]: shape
Out[38]: [2]

In [39]: shape[:0] = [len(list_of_arrays)]

In [40]: shape
Out[40]: [5, 2]

In [41]: arr = np.concatenate(list_of_arrays).reshape(shape)

In [42]: arr
Out[42]: 
array([[ 0.,  0.],
       [ 1.,  1.],
       [ 2.,  2.],
       [ 3.,  3.],
       [ 4.,  4.]])