About
PyBST implements Binary Trees, AVL Trees, Splay Trees, and Red Black Trees in Python. Furthermore, PyBST provides a module for plotting these trees using networkx and matplotlib.
Tree Classes Provided:
BSTree - represents an unbalanced Binary Search Tree
AVLTree - represents a balanced AVL Tree
SplayTree - represents an adjusted Splay Tree
RBTree - represents a balanced Red Black Tree
Constructor
Let Tree represent one of the provided tree classes mentioned above.
Tree() - > Creates a new empty tree
Tree(seq) -> Creates a new empty tree from seq [(key1,val1),(key2,val2),…,(keyn,valn)]
Methods
Tree Methods:
is_valid() -> Produces True if Tree is a valid tree of its type, else False.
preorder() -> Produces a sequence of the Nodes in Tree in preorder.
inorder() -> Produces a sequence of the Nodes in Tree in inorder.
postorder() -> Produces a sequence of the Nodes in Tree in postorder.
levelorder() -> Produces a sequence of the Nodes in Tree in levelorder.
get_node(key) -> Produces the Node in Tree with key attribute key.
insert(key,val) <==> Tree[key] = value. Inserts a new Node with key attribute key and value attribute val into Tree.
insert_from(seq) -> Inserts keys and values from seq [(key1,val1),(key2,val2),…,(keyn,valn)] into Tree.
get_max() <==> max(Tree). Produces the Node with the maximum key in Tree.
get_min() <==> min(Tree). Produces the Node with the minimum key in Tree.
get_element_count <==> len(Tree). Produces the number of elements in Tree.
get_height() -> Produces the height of Tree.
delete(key) <==> del Tree[key]. Deletes the Node with key attribute key from Tree.
delete_from(seq) -> Deletes Nodes with keys from seq [key1,key2,…,keyn] from Tree.
Plotting Methods (draw Module):
plot_tree(Tree) -> Provides a visual representation of Tree via plotting it using networkx and matplotlib.
Dependencies
PyBST requires no external dependencies for the tree classes and their methods themselves. However, note that the following packages are required for tree plotting:
Networkx: http://networkx.github.com/
Matplotlib: http://matplotlib.org/
Installation
From source:
python setup.py install
Using easy install:
easy_install pybst
Alternatively download one of the build distributions found under Downloads.
Documentation
See PyBST’s github repository at: https://github.com/TylerSandman/PyBST/
Release files for pybst 1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distributions (sdists)
| File | Size | Uploaded | |
|---|---|---|---|
| pybst-1.0.zip | 19.2 kB | Details | |
| pybst-1.0.tar.gz | 11.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| PyBST-1.0.win32.msi | Details |
Total release size: 194.7 kB
Release files / pybst-1.0.zip
| Download URL | pybst-1.0.zip |
|---|---|
| Size | 19.2 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / pybst-1.0.tar.gz
| Download URL | pybst-1.0.tar.gz |
|---|---|
| Size | 11.7 kB |
| Tags | Source |
|
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Release files / PyBST-1.0.win32.msi
| Download URL | PyBST-1.0.win32.msi |
|---|---|
| Size | 163.8 kB |
| Tags | Source |
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