It appears that I have data in the format of a list of NumPy arrays (type() = np.ndarray):
[array([[ 0.00353654]]), array([[ 0.00353654]]), arra
Another simple approach would be to use numpy.hstack() followed by removing the singleton dimension using squeeze() as in:
In [61]: np.hstack(list_of_arrs).squeeze()
Out[61]:
array([0.00353654, 0.00353654, 0.00353654, 0.00353654, 0.00353654,
0.00353654, 0.00353654, 0.00353654, 0.00353654, 0.00353654,
0.00353654, 0.00353654, 0.00353654])