Make Binary trees easy for everyone it is used to serialize-deserialize binary trees and performs much more operations
- SerializeTree (tree nodes to list )
- DesializeTree (list to tree nodes )
- Height (Finds height of the tree) and Diameter (Finds diameter of the tree)
- InOrderTraversal,PostOrderTraversal,PreOrderTraversal
- LevelOrderTraversal
- MirrorTree
- LeafNodes,NumberOfLeafNodes
- VisualizeTree
Use the package manager pip to install easyBT.
pip install easyBT
from easyBT.binarytree import BinaryTree
# Create Object
bt=BinaryTree()
# add nodes in list
nums=[1,2,None,None,5,6]
# it will return root node of the tree
root=bt.DesializeTree(nums)
[1,2,3,4,5,6] [1,2,None,4,5,6]
1 1
/ \ /
2 3 2
/\ / / \
4 5 6 4 5
/
6
print(bt.SerializeTree.__doc__)
from easyBT.binarytree import BinaryTree
# Create Object
bt=BinaryTree()
# add nodes in list
nums=[100,500,20,10,30]
# it will return the root node of the tree
root=bt.DesializeTree(nums)
100
/ \
500 20
/ \
10 30
VisualizeTree(root)
#it will print
"""
['_', '_', '1', '_', '_']
['_', '2', '_', '3', '_']
['4', '_','5,6', '_', '_']
"""
- searchInBST (finds element in the bst)
- createBST (create bst)
- minValueNodeInBST (finds min value in the bst)
- maxValueNodeInBST (finds max value in the bst)
- deleteNode (delete node from the bst)
from easyBT.binarytree import BinarySearchTree
bst=BinarySearchTree()
data=[100,500,20,10,30]
root=None
root=bst.createBST(data=data)
100
/ \
20 500
/ \
10 30
bst.insertInBST(root,40) or root=bst.insertInBST(root,40)
100 100
/ \ bst.insertInBST(40) / \
20 500 ---------> 20 500
/ \ / \
10 30 10 30
\
40
bst.deleteNode(root,20)
50 50
/ \ deleteNode(20) / \
30 70 ---------> 30 70
/ \ / \ \ / \
20 40 60 80 40 60 80
bst.deleteNode(root,30)
50 50
/ \ deleteNode(30) / \
30 70 ---------> 40 70
\ / \ / \
40 60 80 60 80
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.