Assuming I have a list of objects that have the following fields
parent
value
and this defines a tree structure, similar to a directory tree.
I want to traverse the list in a pre-order fashion. What's the most efficient way?
Normally, in other (more imperative) languages I would iterate the values, finding the ones with no parents, then for each, iterating again for every object whose parent is the one I'm currently looking at and so forth, but is there a cleverer way to do this in Python?
Inorder Traversal. Inorder Traversal is the one the most used variant of DFS(Depth First Search) Traversal of the tree.
Try in order traversing of Binary Search tree. The complexity of search is nlogn and traverse is n, which is considered to be the best.
Pre-order Traversal In this traversal method, the root node is visited first, then the left subtree and finally the right subtree. In the below python program, we use the Node class to create place holders for the root node as well as the left and right nodes. Then we create a insert function to add data to the tree.
I would first create a more suitable data structure -- capturing the link from a parent to its children:
children = {}
for obj in tree:
children.setdefault(obj.parent, []).append(obj)
def preorder(root, children):
yield root.value
for child in children.get(root, []):
for value in preorder(child, children):
yield value
for root in children[None]:
for value in preorder(root, children):
print value
You could also use collections.defaultdict
here.
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With