How do I invert a matrix using NumPy in Python?

How do I invert a matrix using NumPy in Python?

You can use the numpy.linalg.inv() function to invert a matrix. First, ensure your matrix is square.

Can you show me a code example?

Sure! Here's a simple example:

import numpy as np

matrix = np.array([[1, 2], [3, 4]])
inverted_matrix = np.linalg.inv(matrix)
print(inverted_matrix)

What if the matrix is not invertible?

If the matrix is not invertible, numpy.linalg.inv() will raise a LinAlgError. You can check if it's invertible by ensuring its determinant is not zero using np.linalg.det(matrix).

Thanks! What other functions can I use with NumPy for matrix operations?

You're welcome! You can use functions like numpy.dot() for matrix multiplication, numpy.transpose() for transposing, and numpy.linalg.eig() for eigenvalues and eigenvectors.