UPDATE 05/04/2018: It is my understanding d3 has changed a lot (for the better) to be a lot more modular. For those who are looking towards this answer, this was using a much older version of d3 (specifically v3). A lot of the findings are still relevant for the d3-hierarchy package under cluster.size() and cluster.nodeSize() … Read more
Pre-order is one type of DFS. There are three types of depth-first traversal: pre-order, in-order, and post-order. Check out here for more info.
There is no max size limit of the http response (or the max size of Int or the limit of browser or the limit of server have been configured). The best approach is use AJAX to load part of data while it need to be shown.
What you need is Pretty Print pprint module: from pprint import pprint # Build the tree somehow with open(‘output.txt’, ‘wt’) as out: pprint(myTree, stream=out)
You could accomplish this using either the cluster or tree layouts. And using a custom path generator to draw orthogonal lines connecting nodes, as in this elbow dendrogram. I guess I was feeling inspired so I gave it a shot: http://bl.ocks.org/2966094
SlickGrid has this functionality, see the tree demo. If you want to build your own, here is an example (jsFiddle demo): Build your table with a data-depth attribute to indicate the depth of the item in the tree (the levelX CSS classes are just for styling indentation): <table id=”mytable”> <tr data-depth=”0″ class=”collapse level0″> <td><span class=”toggle … Read more
Update: This is not the best solution I have come up with, but I’ve left it because there are so many comments relating to it. You have a set of events (birth/death), parental state (no descendants, parent, grandparent, etc) and life state (alive, dead). I would store my data in structures with the following fields: … Read more
There’s a lot of confusion going on here. Based on what the OP says: I’m not limiting the size of the spanning tree to k vertices; rather I know exactly which k vertices must be included in the MST. This is the Steiner tree problem on graphs. This is not the k-MST problem. The Steiner … Read more
I don’t know about your requirements, but wouldn’t you be better off with a graph (implementations for example in Boost Graph) if you’re interested mostly in the structure and not so much in tree-specific benefits like speed through balancing? You can ’emulate’ a tree through a graph, and maybe it’ll be (conceptually) closer to what … Read more
This question cannot be answered, in general, I fear. The issue is that there are many types of hash tables and balanced binary trees, and their performances vary widely. So, the naive answer is: it depends on the functionality you need. Use a hash table if you do not need ordering and a balanced binary … Read more