method
Returns a view of the array with axes transposed.
Refer to numpy.transpose for full documentation.
n ints
i in the j-th place in the tuple means that the array’s i-th axis becomes the transposed array’s j-th axis.n ints: same as an n-tuple of the same ints (this form is intended simply as a “convenience” alternative to the tuple form).View of the array with its axes suitably permuted.
See also
transposeEquivalent function.
ndarray.TArray property returning the array transposed.
ndarray.reshapeGive a new shape to an array without changing its data.
>>> import numpy as np
>>> a = np.array([[1, 2], [3, 4]])
>>> a
array([[1, 2],
[3, 4]])
>>> a.transpose()
array([[1, 3],
[2, 4]])
>>> a.transpose((1, 0))
array([[1, 3],
[2, 4]])
>>> a.transpose(1, 0)
array([[1, 3],
[2, 4]])
>>> a = np.array([1, 2, 3, 4]) >>> a array([1, 2, 3, 4]) >>> a.transpose() array([1, 2, 3, 4])
© 2005–2024 NumPy Developers
Licensed under the 3-clause BSD License.
https://numpy.org/doc/2.4/reference/generated/numpy.recarray.transpose.html