How do I use NumPy to transpose a matrix?
You can use the numpy.transpose()
function or the .T
attribute to transpose a matrix in NumPy.
Can you show me an example of transposing a 2D array?
Sure! Here's an example:
import numpy as np
matrix = np.array([[1, 2, 3], [4, 5, 6]])
transposed_matrix = np.transpose(matrix)
print(transposed_matrix)
This will output:
[[1 4]
[2 5]
[3 6]]
What if I have a 3D array? How does transposing work then?
For a 3D array, you can still use numpy.transpose()
, but you can specify 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))
Are there any other methods to transpose a matrix in NumPy?
Yes, you can also use the .swapaxes()
method to swap specific axes of the array, which can achieve similar results depending on your needs.
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