Скачать или смотреть Building a Decision Binary Tree in Python

Learn how to implement a `Decision Binary Tree` in Python using recursive functions. This guide walks you through the steps, from creating a binary tree structure to solving common problems and achieving the desired tree structure.
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Building a Decision Binary Tree in Python: A Beginner's Guide

Creating a decision binary tree from a list in Python can be an intriguing challenge, especially for those new to data structures. A binary tree is a tree data structure where each node has at most two children, often referred to as the left and right child. Implementing this from scratch requires an understanding of both the tree structure and recursion.

In this post, we'll explore how to build a binary tree, address some common pitfalls, and refine the implementation to achieve the desired structure.

Understanding the Problem

You want to create a decision binary tree from a list of boolean values. Each number in the list will represent a leaf of the tree. The key instruction here is that the length of the list is always an even number. Your initial implementation includes a class for the binary tree and a recursive function to construct the tree, but it faces challenges in properly inserting child nodes.

Setting Up the Binary Tree

Let's begin by understanding the core structure of the BinaryTree class you provided.

[[See Video to Reveal this Text or Code Snippet]]

Issues in the Current Implementation

The current implementation has a fundamental issue in the cons_tree_sub function where you attempt to insert a subtree instead of a value. Specifically, this line:

[[See Video to Reveal this Text or Code Snippet]]

is incorrect because insert_left expects a value, not a node instance.

Revising the Approach

To fix this, you can make the following changes:

Direct Assignment: Instead of trying to insert a subtree using insert_left, we can directly assign the left and right children.

[[See Video to Reveal this Text or Code Snippet]]

Constructor Modification: Modify the BinaryTree constructor to accept left and right children:

[[See Video to Reveal this Text or Code Snippet]]

Refining the Recursive Function: Use a simpler recursive function for constructing the tree:

[[See Video to Reveal this Text or Code Snippet]]

Full Example Code

Here’s how the complete solution looks when these adjustments are made:

[[See Video to Reveal this Text or Code Snippet]]

Conclusion

By applying these changes, your decision binary tree should now construct correctly with the desired structure. Remember, the key shifts involved changing how we insert new nodes into the tree and simplifying the recursive tree-building function. With practice, building data structures such as binary trees will become second nature.

Feel free to try this code in your Python environment and modify the leaf list to see different tree structures!