How to Implement a Binary Search Tree in Python?
This guide is intended for a broad range of readers, from people who have never coded before and those looking for a refresher to intermediate developers who want to learn new skills. The Python implementation of the binary search tree only focuses on features that are used in practical applications.
python code for binary search tree
By 
Aryan Solanki
on Jan 01, 2021
Aryan Solanki
on Jan 01, 2021
#Complete Binary Search Tree Using Python 3
class node:
def __init__(self,data):
self.data=data
self.left=None
self.right=None
class binarytree:
def __init__(self):
self.root=None
#INSERT
def insert(self,data):
if self.root==None:
self.root=node(data)
else:
self._insert(data,self.root)
def _insert(self,data,cur_node):
if data<cur_node.data:
if cur_node.left==None:
cur_node.left=node(data)
else:
self._insert(data,cur_node.left)
elif data>cur_node.data:
if cur_node.right==None:
cur_node.right=node(data)
else:
self._insert(data,cur_node.right)
else:
print('Data In Treee Already')
#REMOVE
def remove(self,data):
if self.root!=None:
self._remove(data,self.root)
def _remove(self,data,cur_node):
if cur_node == None:
return cur_node
if data<cur_node.data:
cur_node.left=self._remove(data,cur_node.left)
elif data>cur_node.data:
cur_node.right=self._remove(data,cur_node.right)
else:
if cur_node.left is None and cur_node.right is None:
print('Removing Leaf Node')
if cur_node==self.root:
self.root=None
del cur_node
return None
if cur_node.left is None:
print('Removing None with Right Child')
if cur_node==self.root:
self.root=cur_node.right
tempnode=cur_node.right
del cur_node
return tempnode
elif cur_node.right is None:
print('Removing None with Left Child')
if cur_node==self.root:
self.root=cur_node.left
tempnode=cur_node.left
del cur_node
return tempnode
print('Removing Node with 2 Children')
tempnode=self.getpred(cur_node.left)
cur_node.data=tempnode.data
cur_node.left=self._remove(cur_node.data,cur_node.left)
return cur_node
def getpred(self,cur_node):
if cur_node.right!=None:
return self.getpred(cur_node.right)
return cur_node
#INORDER TRAVERSAL
def inorder(self):
if self.root!=None:
self._inorder(self.root)
def _inorder(self,cur_node):
if cur_node!=None:
self._inorder(cur_node.left)
print(cur_node.data)
self._inorder(cur_node.right)
#PREORDER TRAVERSAL
def preorder(self):
if self.root!=None:
self._preorder(self.root)
def _preorder(self,cur_node):
if cur_node!=None:
print(cur_node.data)
self._preorder(cur_node.left)
self._preorder(cur_node.right)
#POSTORDER TRAVERSAL
def postorder(self):
if self.root!=None:
self._postorder(self.root)
def _postorder(self,cur_node):
if cur_node!=None:
self._postorder(cur_node.left)
self._postorder(cur_node.right)
print(cur_node.data)
#MINIMUM VALUE
def minval(self):
if self.root!=None:
return self._minval(self.root)
def _minval(self,cur_node):
if cur_node.left!=None:
return self._minval(cur_node.left)
return cur_node.data
#MAXIMUM VALUE
def maxval(self):
if self.root!=None:
return self._maxval(self.root)
def _maxval(self,cur_node):
if cur_node.right!=None:
return self._maxval(cur_node.right)
return cur_node.data
tree=binarytree()
tree.insert(100)
tree.insert(90) # 100
tree.insert(110) # / \
tree.insert(95) # 90 110
tree.insert(30) # / \
# 30 95
tree.remove(110)
tree.remove(90)
tree.inorder()
#tree.preorder()
#tree.postorder()
print(tree.minval())
print(tree.maxval())2
binary tree in python
By Aggressive Albatross
on Mar 29, 2021
Aggressive Albatross
on Mar 29, 2021
Binary Tree implementation at this link:
https://github.com/shreyasvedpathak/Data-Structure-Python/tree/master/BinaryTrees0
insert binary search tree
By Lazy Ladybird
on Jan 03, 2021
Lazy Ladybird
on Jan 03, 2021
void BSNode::insert(std::string value) {
if (this->_data == value) {
_count++;
return;
}
if (this->_data > value) {
if (this->getLeft() == nullptr) {
this->_left = new BSNode(value);
}
this->getLeft()->insert(value);
return;
}
if (this->getRight() == nullptr) {
this->_right = new BSNode(value);
return;
}
this->getRight()->insert(value);
}0
binary search in python
By Weary Walrus
on Sep 15, 2020
Weary Walrus
on Sep 15, 2020
def binary_search(group, suspect):
group.sort()
midpoint = len(group)//2
while(True):
if(group[midpoint] == suspect):
return midpoint
if(suspect > group[midpoint]):
group = group[midpoint]
if(suspect < group[midpoint]):
group = group[0: midpoint]
midpoint = (len(group)//2)0
binary search tree in python
By Aggressive Albatross
on Mar 29, 2021
Aggressive Albatross
on Mar 29, 2021
Binary Search Tree at this link:
https://github.com/shreyasvedpathak/Data-Structure-Python/tree/master/BinaryTrees-1
Binary search trees are very efficient at locating data stored in a tree by using the binary representation of numbers.
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