How to Convert NumPy Matrix to Array

There are several ways to convert a NumPy matrix to an array in Python. Here are a few examples:

1. Using the numpy.ndarray.flatten() function: This will convert the matrix into a 1-dimensional array. Here’s an example:

import numpy as np
M = np.matrix([[1, 2], [3, 4]])
A = np.ndarray.flatten(M)
print(A)

Output:

[1 2 3 4]

1. Using the numpy.ravel() function: This will also convert the matrix into a 1-dimensional array, but with a different order if you provide the “F” order. Here’s an example:

import numpy as np
M = np.matrix([[1, 2], [3, 4]])
A = np.ravel(M, order='C')
print(A)

Output:

[1 2 3 4]

1. Using the numpy.asarray() function: This will convert the matrix into an array without flattening it. Here’s an example:

import numpy as np
M = np.matrix([[1, 2], [3, 4]])
A = np.asarray(M)
print(A)

Output:

[[1 2]
[3 4]]

You can use whatever method that suits your needs best, depending on how you want to use the resulting array.