How do I transpose a matrix using NumPy in Python?
You can transpose a matrix in NumPy using the .T
attribute or the numpy.transpose()
function. For example:
import numpy as np
matrix = np.array([[1, 2, 3], [4, 5, 6]])
transposed_matrix = matrix.T
print(transposed_matrix)
What does the .T
attribute do?
.T is a shorthand for transposing the array. It flips the matrix over its diagonal, switching the row and column indices.
Can I transpose a 3D array as well?
Yes, you can transpose a 3D array using numpy.transpose()
by specifying the axes you want to permute. For example:
array_3d = np.random.rand(2, 3, 4)
transposed_3d = np.transpose(array_3d, (1, 0, 2))
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