numpy.ndarray.transpose — NumPy v1.13 Manual (original) (raw)

ndarray. transpose(*axes)¶

Returns a view of the array with axes transposed.

For a 1-D array, this has no effect. (To change between column and row vectors, first cast the 1-D array into a matrix object.) For a 2-D array, this is the usual 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 anda.shape = (i[0], i[1], ... i[n-2], i[n-1]), thena.transpose().shape = (i[n-1], i[n-2], ... i[1], i[0]).

Parameters:	axes : None, tuple of ints, or n ints 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. n ints: same as an n-tuple of the same ints (this form is intended simply as a “convenience” alternative to the tuple form)
Returns:	out : ndarray View of a, with axes suitably permuted.