numpy.indices(dimensions, dtype=)

class numpy.ndindex(*shape)

class numpy.ndenumerate(arr)

numpy.tril_indices(n, k=0, m=None)

numpy.ogrid = nd_grid instance which returns an open multi-dimensional ?meshgrid?. An instance of numpy

numpy.tril_indices_from(arr, k=0)

numpy.put(a, ind, v, mode='raise')

numpy.diag_indices(n, ndim=2)

numpy.r_ = Translates slice objects to concatenation along the first axis. This is a simple way to build up arrays quickly. There

numpy.putmask(a, mask, values) Changes elements of an array based on conditional and input values. Sets a.flat[n]