Untitled9.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 134,
   "metadata": {},
   "outputs": [],
   "source": [
    "class Tree:\n",
    "    def __init__(self,data):\n",
    "        self.data=data\n",
    "        self.leftChild=None\n",
    "        self.rightChild=None\n",
    "        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "metadata": {},
   "outputs": [],
   "source": [
    "root=Tree(\"drinks\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "metadata": {},
   "outputs": [],
   "source": [
    "h=Tree(\"hot\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "metadata": {},
   "outputs": [],
   "source": [
    "c=Tree(\"cold\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'data': 'drinks', 'leftChild': None, 'rightChild': None}"
      ]
     },
     "execution_count": 138,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "root.__dict__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "metadata": {},
   "outputs": [],
   "source": [
    "tea=Tree(\"tea\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "metadata": {},
   "outputs": [],
   "source": [
    "coffee=Tree(\"coffee\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "metadata": {},
   "outputs": [],
   "source": [
    "cola=Tree(\"cola\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "metadata": {},
   "outputs": [],
   "source": [
    "root.leftChild=h"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "metadata": {},
   "outputs": [],
   "source": [
    "root.rightChild=c"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'hot'"
      ]
     },
     "execution_count": 144,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "root.leftChild.data\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'data': 'drinks',\n",
       " 'leftChild': <__main__.Tree at 0x1e652e4a880>,\n",
       " 'rightChild': <__main__.Tree at 0x1e652e4a4f0>}"
      ]
     },
     "execution_count": 145,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "root.__dict__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'data': 'hot', 'leftChild': None, 'rightChild': None}"
      ]
     },
     "execution_count": 146,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "h.__dict__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<__main__.Tree at 0x1e652e4a880>"
      ]
     },
     "execution_count": 147,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "h\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<__main__.Tree at 0x1e652e4a4f0>"
      ]
     },
     "execution_count": 148,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "c"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "metadata": {},
   "outputs": [],
   "source": [
    "h.leftChild=tea"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 150,
   "metadata": {},
   "outputs": [],
   "source": [
    "h.rightChild=coffee"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 151,
   "metadata": {},
   "outputs": [],
   "source": [
    "c.leftChild=cola"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 152,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'data': 'cold',\n",
       " 'leftChild': <__main__.Tree at 0x1e652e55af0>,\n",
       " 'rightChild': None}"
      ]
     },
     "execution_count": 152,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "c.__dict__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 153,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'data': 'hot',\n",
       " 'leftChild': <__main__.Tree at 0x1e652d41940>,\n",
       " 'rightChild': <__main__.Tree at 0x1e652e55910>}"
      ]
     },
     "execution_count": 153,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "h.__dict__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "metadata": {},
   "outputs": [],
   "source": [
    "def pre_order_traversal(root):\n",
    "    if not root:\n",
    "        return\n",
    "    \n",
    "    print(root.data)\n",
    "    pre_order_traversal(root.leftChild)\n",
    "    pre_order_traversal(root.rightChild)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "drinks\n",
      "hot\n",
      "tea\n",
      "coffee\n",
      "cold\n",
      "cola\n"
     ]
    }
   ],
   "source": [
    "pre_order_traversal(root)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "metadata": {},
   "outputs": [],
   "source": [
    "def post_order_traversal(root):\n",
    "    if not root:\n",
    "        return\n",
    "    \n",
    "    post_order_traversal(root.leftChild)\n",
    "    post_order_traversal(root.rightChild)\n",
    "    print(root.data)   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 157,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tea\n",
      "coffee\n",
      "hot\n",
      "cola\n",
      "cold\n",
      "drinks\n"
     ]
    }
   ],
   "source": [
    "post_order_traversal(root)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 158,
   "metadata": {},
   "outputs": [],
   "source": [
    "def In_order_traversal(root):\n",
    "    if not root:\n",
    "        return\n",
    "\n",
    "    In_order_traversal(root.leftChild)\n",
    "    print(root.data)\n",
    "    In_order_traversal(root.rightChild)   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 159,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tea\n",
      "hot\n",
      "coffee\n",
      "drinks\n",
      "cola\n",
      "cold\n"
     ]
    }
   ],
   "source": [
    "In_order_traversal(root)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 160,
   "metadata": {},
   "outputs": [],
   "source": [
    "from collections import deque"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 161,
   "metadata": {},
   "outputs": [],
   "source": [
    "def level_order_traversal(root):\n",
    "    if root is None:\n",
    "        return \"No node Found\"\n",
    "    q=deque()\n",
    "    q.append(root)\n",
    "    while len(q)!=0:\n",
    "        p=q.popleft()\n",
    "        print(p.data,\"\")\n",
    "        if p.leftChild is not None:\n",
    "            q.append(p.leftChild)\n",
    "        if p.rightChild is not None:\n",
    "            q.append(p.rightChild)     \n",
    "        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "drinks\n",
      "hot\n",
      "cold\n",
      "tea\n",
      "coffee\n",
      "cola\n"
     ]
    }
   ],
   "source": [
    "level_order_traversal(root)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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