将numpy向量列表转换为2D numpy数组

Question

I have a list of numpy arrays. My list contains 5000 numpy arrays and each one has the size (1x1000). I want to construct a numpy array of size 5000x1000. I am trying to do something like:

db_array = np.asarray(db_list) # my db_list has 5000 samples of 1x1000 size

The result was a matrix of size (5000, 1, 1000). How can I construct a matrix with size (5000, 1000)?

Answer 1

An MCVE would help here, but if I understand correctly, just use the numpy.array constructor.

>>> import numpy as np
>>> arraylist = [np.array([1,2,3]), np.array([1,2,3])]
>>> arraylist
[array([1, 2, 3]), array([1, 2, 3])]
>>> np.array(arraylist)
array([[1, 2, 3],
       [1, 2, 3]])

Answer 2

So, just initialize the list as a simple numpy array

import numpy as np

list = [np.array([1,2,3]), np.array([1,2,3])]
new_array = np.array(list)
print (new_array)
print (new_array.shape)