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I'm trying to turn a list of 2d numpy arrays into a 2d numpy array. For example,
dat_list = [] for i in range(10): dat_list.append(np.zeros([5, 10])) What I would like to get out of this list is an array that is (50, 10). However, when I try the following, I get a (10,5,10) array.
output = np.array(dat_list) Thoughts?
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We can use NumPy np. array tolist() function to convert an array to a list. If the array is multi-dimensional, a nested list is returned. For a one-dimensional array, a list with the array elements is returned.
Create a List object. Add elements to it. Create an empty array with size of the created ArrayList. Convert the list to an array using the toArray() method, bypassing the above-created array as an argument to it.
To convert a list to array in Python, use the np. array() method. The np. array() is a numpy library function that takes a list as an argument and returns an array containing all the list elements.
you want to stack them:
np.vstack(dat_list) Above accepted answer is correct for 2D arrays as you requested. For 3D input arrays though, vstack() will give you a surprising outcome. For those, use stack(<list of 3D arrays>, 0).
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