cupynumeric.ndarray.transpose#

ndarray.transpose(axes=None)#

Returns a view of the array with axes transposed.

For a 1-D array this has no effect, as a transposed vector is simply the same vector. To convert a 1-D array into a 2D column vector, an additional dimension must be added. np.atleast2d(a).T achieves this, as does a[:, np.newaxis].

For a 2-D array, this is a standard matrix transpose.

For an n-D array, if axes are given, their order indicates how the axes are permuted (see Examples). If axes are not provided and a.shape = (i[0], i[1], ... i[n-2], i[n-1]), then a.transpose().shape = (i[n-1], i[n-2], ... i[1], i[0]).

Parameters:

axes (None or tuple[int]) –

None or no argument: reverses the order of the axes.
tuple of ints: i in the j-th place in the tuple means a’s
i-th axis becomes a.transpose()’s j-th axis.

Returns:

out – View of a, with axes suitably permuted.

Return type:

ndarray