implement multi child tree

[sunyiwei24601]

Hi, I was looking for a package to visualize Tree Search Algorithm Recently and I found this repository and really liked it. But for tree visualization, the treeviz function can only support binary tree with child name left and right.

So I made some modification to support multi children and specifying child name. I add 2 new parameters for treeviz(), childfields and show_all_children. The variable name in childfields will be recognized as child node. And if show_all_children=False, it will only visualize the child names exist, else it will show all the names in childfieds.

I know you may be busy and this repository hasn't been updated for a long time. You can check these modification anytime free. I am so glad to receive any suggestions from you.

[parrt]

interesting...let me try it on a bunch of existing stuff.

[parrt]

Hiya. What about trees with children fields, which I think is more common than left, mid, right or whatever?

[sunyiwei24601]

Hiya. What about trees with children fields, which I think is more common than left, mid, right or whatever?

Yes, I did consider such implementation before. If I didn't misunderstand you, you mean such a structure of trees:

class Tree:
    def __init__(self, **children):
        self.children = children

My current implementation can not handle such situations. I would like to add a new parameter for treeviz() function called dict_children_fields=("children"). For a field in this tuple (if its type is dictionary), we will recognize every key of this dict as a child which need to be visualized. But the treeviz function may be too complicated due to too many specified parameters. If you have other plans, I'm glad to hear them.

[sunyiwei24601]

@parrt Hi, I just push my new implementation. You can check it out while free. To visualize trees with children fields, I create a new function treeplusviz(maybe it's not a good name haha), which will regard each in children field as a child of parent tree node.

[parrt]

Hi sorry for delay. I just started a new job and will be in a bootcamp for a couple of weeks!