{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "92f5ec54",
   "metadata": {},
   "source": [
    "## Reseting Index of Dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "06e8f3f1",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "c8470dfc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Name</th>\n",
       "      <th>Age</th>\n",
       "      <th>Gender</th>\n",
       "      <th>City</th>\n",
       "      <th>Place of Work</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Sahil Choudhary</td>\n",
       "      <td>10</td>\n",
       "      <td>M</td>\n",
       "      <td>J</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Sonia Choudhary</td>\n",
       "      <td>20</td>\n",
       "      <td>F</td>\n",
       "      <td>K</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Sourav</td>\n",
       "      <td>30</td>\n",
       "      <td>M</td>\n",
       "      <td>L</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Vishal</td>\n",
       "      <td>40</td>\n",
       "      <td>M</td>\n",
       "      <td>P</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Name  Age Gender City  Place of Work\n",
       "0  Sahil Choudhary   10      M    J           True\n",
       "1  Sonia Choudhary   20      F    K          False\n",
       "2           Sourav   30      M    L          False\n",
       "3           Vishal   40      M    P           True"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df=pd.DataFrame({\n",
    "'Name':['Sahil Choudhary','Sonia Choudhary','Sourav','Vishal'],\n",
    "'Age':[10,20,30,40],\n",
    "'Gender':['M','F','M','M'],\n",
    "'City':['J','K','L','P'],\n",
    "'Work':[True,False,False,True]\n",
    "}\n",
    ")\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "3ea773ac",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Name</th>\n",
       "      <th>Age</th>\n",
       "      <th>Gender</th>\n",
       "      <th>City</th>\n",
       "      <th>Place of Work</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Sahil Choudhary</td>\n",
       "      <td>10</td>\n",
       "      <td>M</td>\n",
       "      <td>J</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Sonia Choudhary</td>\n",
       "      <td>20</td>\n",
       "      <td>F</td>\n",
       "      <td>K</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Sourav</td>\n",
       "      <td>30</td>\n",
       "      <td>M</td>\n",
       "      <td>L</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Vishal</td>\n",
       "      <td>40</td>\n",
       "      <td>M</td>\n",
       "      <td>P</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Name  Age Gender City  Place of Work\n",
       "0  Sahil Choudhary   10      M    J           True\n",
       "1  Sonia Choudhary   20      F    K          False\n",
       "2           Sourav   30      M    L          False\n",
       "3           Vishal   40      M    P           True"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.reset_index(drop=True)"
   ]
  }
 ],
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