This Python application offers an intuitive visualization of binary trees, providing clear graphical representations and implementations for preorder, inorder, and postorder tree traversals. It utilizes the matplotlib library to visually plot the binary tree and networkx to manage the tree structure as a directed graph. This tool is especially useful for understanding the layout of the tree and the sequence of node visits during different tree traversals.
Defines the basic structure for tree nodes, which includes attributes for the node value, left child, and right child.
- Inorder Traversal: Visits nodes in a left-root-right manner.
- Preorder Traversal: Visits nodes in a root-left-right manner.
- Postorder Traversal: Visits nodes in a left-right-root manner.
- Plot Tree: Graphically displays the binary tree using a hierarchical layout to clearly depict the tree structure.
To utilize this visualization tool, create instances of TreeNode to construct your desired tree structure, then call plot_tree() with the root node as the argument. The tree structure, along with the traversal orders, will be displayed.
Here is a sample script demonstrating how to use this application:
# Create tree nodes
root = TreeNode(7)
root.left = TreeNode(3)
root.right = TreeNode(12)
root.left.left = TreeNode(1)
root.left.right = TreeNode(5)
root.right.left = TreeNode(10)
root.right.left.right = TreeNode(11)
root.right.right = TreeNode(15)
root.right.right.right = TreeNode(16)
root.right.right.right.left = TreeNode(17)
root.left.right.left = TreeNode(4)
# Plot the tree
plot_tree(root)
# Display traversal orders
print("Pre order:", preorder_traversal(root))
print("In order:", inorder_traversal(root))
print("Post order:", postorder_traversal(root))Which will output the following:
