To begin with, this question is not a dup of this one, but builds on it.
Taking the tree in that question as an example,
1 / \ 2 3 / / \ 4 5 6
How would you modify your program to print it so,
1 2 3 4 5 6
rather than the general
1 2 3 4 5 6
I'm basically looking for intuitions on the most efficient way to do it - I've got a method involving appending the result to a list, and then looping through it. A more efficient way might be to store the last element in each level as it is popped, and print out a new line afterward.
Ideas?
Algorithm to print nodes at given levelIf level of current node is equal to L then we will print it on screen else continue pre order traversal. If node is equal to NULL, return. If level of node is equal to L, then print node and return. Recursively traverse left and right sub trees at level L + 1.
Level Order Traversal is the algorithm to process all nodes of a tree by traversing through depth, first the root, then the child of the root, etc.
We first process the root node at level 0, and then we process the left and right child at level 1 (assuming left to right order). Similarly, at the second level, we first process the children of the left child of root then process the children of right child. This process goes on for all levels in the tree.
Just build one level at a time, e.g.:
class Node(object): def __init__(self, value, left=None, right=None): self.value = value self.left = left self.right = right def traverse(rootnode): thislevel = [rootnode] while thislevel: nextlevel = list() for n in thislevel: print n.value, if n.left: nextlevel.append(n.left) if n.right: nextlevel.append(n.right) print thislevel = nextlevel t = Node(1, Node(2, Node(4, Node(7))), Node(3, Node(5), Node(6))) traverse(t)
Edit: if you're keen to get a small saving in maximum consumed "auxiliary" memory (never having simultaneously all this level and the next level in such "auxiliary" memory), you can of course use collection.deque
instead of list
, and consume the current level as you go (via popleft
) instead of simply looping. The idea of creating one level at a time (as you consume --or iterate on-- the previous one) remains intact -- when you do need to distinguish levels, it's just more direct than using a single big deque plus auxiliary information (such as depth, or number of nodes remaining in a given level).
However, a list that is only appended to (and looped on, rather than "consumed") is quite a bit more efficient than a deque (and if you're after C++ solutions, quite similarly, a std::vector using just push_back
for building it, and a loop for then using it, is more efficient than a std::deque). Since all the producing happens first, then all the iteration (or consuming), an interesting alternative if memory is tightly constrained might be to use a list anyway to represent each level, then .reverse
it before you start consuming it (with .pop
calls) -- I don't have large trees around to check by measurement, but I suspect that this approach would still be faster (and actually less memory-consuming) than deque
(assuming that the underlying implementation of list [[or std::vector]] actually does recycle memory after a few calls to pop
[[or pop_back
]] -- and with the same assumption for deque, of course;-).
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