dimshuffle equivalent function in Numpy
The function numpy.transpose permits any permutation of the axes of an array.
The variety array.T is a special case of this, corresponding to array.transpose() without arguments, which defaults to array.transpose(range(array.ndim)[::-1]).
numpy.swapaxes is numpy.transpose restricted to permutations of two axes.
theano.tensor.dimshuffle essentially corresponds to numpy.transpose, but in addition, it permits the creation of new axes of length 1 for broadcasting, by adding 'x' wherever an axis should be created. In numpy, this can be achieved using a combination of transpose and reshape.
Note that in numpy, care is taken to make transpose return a view on the data whenever possible. In theano this is probably the case, too, but may depend on how the code is optimized.