Issue converting list to NumPy array

Question

I have a list that consits of 2000 rows and 88200 columns:

testlist = list(split_audio_to_parts(audio, self.sample_rate, self.audio_index))

deb

Answer 1

You have a list of arrays. If each array in your list does not have the same length, your conversion will not be successful.

Here is a minimal example.

A = [np.array([1, 2]), np.array([4, 5, 6])]

A_2 = np.array(A)
# array([array([1, 2]), array([4, 5, 6])], dtype=object)

A_2.shape
# (2,)

If the lengths of your arrays are aligned, you will find no problem:

B = [np.array([1, 2, 3]), np.array([4, 5, 6])]

B_2 = np.array(B)
# array([[1, 2, 3],
#        [4, 5, 6]])

B_2.shape
# (2, 3)

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To check the sizes of your arrays, you can use set:

array_sizes = set(map(len, A))