numpy.fill_diagonal(a, val, wrap=False)

ndenumerate.next()

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

numpy.tril_indices_from(arr, k=0)

numpy.s_ = A nicer way to build up index tuples for arrays. Note

nditer.debug_print() Print the current state of the

nditer.next x.next() -> the next value, or raise StopIteration

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

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

nditer.remove_axis(i) Removes axis i from the iterator. Requires that the flag ?multi_index? be enabled