numpy.transpose()

numpy.transpose(a, axes=None) [source]

Permute the dimensions of an array.

Parameters:

Parameters:	a : array_like Input array. axes : list of ints, optional By default, reverse the dimensions, otherwise permute the axes according to the values given.
Returns:	p : ndarray `a` with its axes permuted. A view is returned whenever possible.

a : array_like

Input array.

axes : list of ints, optional

By default, reverse the dimensions, otherwise permute the axes according to the values given.

Returns:

p : ndarray

a with its axes permuted. A view is returned whenever possible.

Use transpose(a, argsort(axes)) to invert the transposition of tensors when using the axes keyword argument.

Transposing a 1-D array returns an unchanged view of the original array.

>>> x = np.arange(4).reshape((2,2))
>>> x
array([[0, 1],
       [2, 3]])

>>> np.transpose(x)
array([[0, 2],
       [1, 3]])

>>> x = np.ones((1, 2, 3))
>>> np.transpose(x, (1, 0, 2)).shape
(2, 1, 3)

Links:

doc_NumPy

2025-01-10 15:47:30

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