Issue: Flattening a 2D array with np.flatten() does not produce the expected output of a 1D array when using Python 3.7.4.

np.flatten()

Code:

import numpy as np array1 = np.array([[1, 2, 3, 2, 5, 8], [9, 5, 1, 7, 5, 3]]) array1.flatten() print(array1)

Current Output:

[[1 2 3 2 5 8] [9 5 1 7 5 3]]

Expected Output:

[1 2 3 2 5 8 9 5 1 7 5 3]

Updated Code:

import numpy as np array1 = np.array([[1, 2, 3, 2, 5, 8], [9, 5, 1, 7, 5, 3]]) flatten_array = array1.flatten() print(flatten_array)

Answer: The np.flatten() method does not modify the original array, but returns a copy of the flattened array. Therefore, the expected output is obtained by assigning the flattened array to a new variable flatten_array and then printing it.

flatten_array