Pandas - Indexing a DataFrame.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Pandas"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Indexing a DataFrame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# importing pandas library\n",
    "\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# reading the dataset\n",
    "\n",
    "df = pd.read_csv(\"data.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "    }\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>FACULTY NAME</th>\n",
       "      <th>SUBJECT</th>\n",
       "      <th>BRANCH-YEAR-SECTION</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>A Sadanandam</td>\n",
       "      <td>PS</td>\n",
       "      <td>CIVIL2A</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>A Sadanandam</td>\n",
       "      <td>PS</td>\n",
       "      <td>CIVIL2B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Dr D Indira Priyadarshini</td>\n",
       "      <td>AECS</td>\n",
       "      <td>CIVIL3A</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>K Sreevani</td>\n",
       "      <td>AECS</td>\n",
       "      <td>CIVIL3A</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>K Sreevani</td>\n",
       "      <td>AECS</td>\n",
       "      <td>CIVIL3B</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 FACULTY NAME SUBJECT BRANCH-YEAR-SECTION\n",
       "0               A Sadanandam       PS             CIVIL2A\n",
       "1               A Sadanandam       PS             CIVIL2B\n",
       "2  Dr D Indira Priyadarshini     AECS             CIVIL3A\n",
       "3                 K Sreevani     AECS             CIVIL3A\n",
       "4                 K Sreevani     AECS             CIVIL3B"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>FACULTY NAME</th>\n",
       "      <th>SUBJECT</th>\n",
       "      <th>BRANCH-YEAR-SECTION</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>A Sadanandam</td>\n",
       "      <td>PS</td>\n",
       "      <td>CIVIL2A</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>A Sadanandam</td>\n",
       "      <td>PS</td>\n",
       "      <td>CIVIL2B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Dr D Indira Priyadarshini</td>\n",
       "      <td>AECS</td>\n",
       "      <td>CIVIL3A</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>K Sreevani</td>\n",
       "      <td>AECS</td>\n",
       "      <td>CIVIL3A</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>K Sreevani</td>\n",
       "      <td>AECS</td>\n",
       "      <td>CIVIL3B</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 FACULTY NAME SUBJECT BRANCH-YEAR-SECTION\n",
       "0               A Sadanandam       PS             CIVIL2A\n",
       "1               A Sadanandam       PS             CIVIL2B\n",
       "2  Dr D Indira Priyadarshini     AECS             CIVIL3A\n",
       "3                 K Sreevani     AECS             CIVIL3A\n",
       "4                 K Sreevani     AECS             CIVIL3B"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# selecting rows by their position\n",
    "\n",
    "df.iloc[:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>FACULTY NAME</th>\n",
       "      <th>SUBJECT</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>A Sadanandam</td>\n",
       "      <td>PS</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>A Sadanandam</td>\n",
       "      <td>PS</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Dr D Indira Priyadarshini</td>\n",
       "      <td>AECS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>K Sreevani</td>\n",
       "      <td>AECS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>K Sreevani</td>\n",
       "      <td>AECS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Hepsiba George</td>\n",
       "      <td>AECS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>V Murali</td>\n",
       "      <td>PC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>V Murali</td>\n",
       "      <td>PC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>V Murali</td>\n",
       "      <td>PC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>V Murali</td>\n",
       "      <td>PC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Macha Sujatha</td>\n",
       "      <td>PDBS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Macha Sujatha</td>\n",
       "      <td>PDBS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Macha Sujatha</td>\n",
       "      <td>PDBS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>J Sree Devi</td>\n",
       "      <td>PDBS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>R Padma Venkat</td>\n",
       "      <td>PDBS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>R Padma Venkat</td>\n",
       "      <td>PDBS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>R Padma Venkat</td>\n",
       "      <td>PDBS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>J Sree Devi</td>\n",
       "      <td>PDBS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Dr Elizabeth Kamala</td>\n",
       "      <td>AECS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Hepsiba George</td>\n",
       "      <td>AECS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Dr Elizabeth Kamala</td>\n",
       "      <td>AECS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Hepsiba George</td>\n",
       "      <td>AECS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>K Sreevani</td>\n",
       "      <td>PC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>J Sree Devi</td>\n",
       "      <td>PDBS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Ch Sridevi</td>\n",
       "      <td>PS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>M N L Anuradha</td>\n",
       "      <td>PS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Fouzia Tabassum</td>\n",
       "      <td>PS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Fouzia Tabassum</td>\n",
       "      <td>PS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>K Sreevani</td>\n",
       "      <td>AECS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Allam Surender</td>\n",
       "      <td>AECS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>K Sreevani</td>\n",
       "      <td>AECS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Allam Surender</td>\n",
       "      <td>AECS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>J Sree Devi</td>\n",
       "      <td>AECS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Allam Surender</td>\n",
       "      <td>AECS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>Dr D Indira Priyadarshini</td>\n",
       "      <td>AECS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>Allam Surender</td>\n",
       "      <td>AECS</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  FACULTY NAME SUBJECT\n",
       "0                A Sadanandam       PS\n",
       "1                A Sadanandam       PS\n",
       "2   Dr D Indira Priyadarshini     AECS\n",
       "3                  K Sreevani     AECS\n",
       "4                  K Sreevani     AECS\n",
       "5               Hepsiba George    AECS\n",
       "6                     V Murali      PC\n",
       "7                     V Murali      PC\n",
       "8                     V Murali      PC\n",
       "9                     V Murali      PC\n",
       "10              Macha Sujatha     PDBS\n",
       "11              Macha Sujatha     PDBS\n",
       "12              Macha Sujatha     PDBS\n",
       "13               J Sree Devi      PDBS\n",
       "14             R Padma Venkat     PDBS\n",
       "15             R Padma Venkat     PDBS\n",
       "16             R Padma Venkat     PDBS\n",
       "17               J Sree Devi      PDBS\n",
       "18        Dr Elizabeth Kamala     AECS\n",
       "19              Hepsiba George    AECS\n",
       "20        Dr Elizabeth Kamala     AECS\n",
       "21              Hepsiba George    AECS\n",
       "22                 K Sreevani       PC\n",
       "23               J Sree Devi      PDBS\n",
       "24                 Ch Sridevi       PS\n",
       "25             M N L Anuradha       PS\n",
       "26           Fouzia Tabassum        PS\n",
       "27           Fouzia Tabassum        PS\n",
       "28                 K Sreevani     AECS\n",
       "29             Allam Surender     AECS\n",
       "30                 K Sreevani     AECS\n",
       "31             Allam Surender     AECS\n",
       "32               J Sree Devi      AECS\n",
       "33             Allam Surender     AECS\n",
       "34  Dr D Indira Priyadarshini     AECS\n",
       "35             Allam Surender     AECS"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# selecting columns by their position\n",
    "\n",
    "df.iloc[:,:2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<div>\n",
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       "    .dataframe tbody tr th:only-of-type {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>FACULTY NAME</th>\n",
       "      <th>SUBJECT</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Hepsiba George</td>\n",
       "      <td>AECS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>V Murali</td>\n",
       "      <td>PC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>V Murali</td>\n",
       "      <td>PC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>V Murali</td>\n",
       "      <td>PC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>V Murali</td>\n",
       "      <td>PC</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "     FACULTY NAME SUBJECT\n",
       "5  Hepsiba George    AECS\n",
       "6        V Murali      PC\n",
       "7        V Murali      PC\n",
       "8        V Murali      PC\n",
       "9        V Murali      PC"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.iloc[5:10,:2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>FACULTY NAME</th>\n",
       "      <th>SUBJECT</th>\n",
       "      <th>BRANCH-YEAR-SECTION</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>V Murali</td>\n",
       "      <td>PC</td>\n",
       "      <td>CSE2A</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>V Murali</td>\n",
       "      <td>PC</td>\n",
       "      <td>CSE2B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>V Murali</td>\n",
       "      <td>PC</td>\n",
       "      <td>CSE2C</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>V Murali</td>\n",
       "      <td>PC</td>\n",
       "      <td>CSE2D</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>K Sreevani</td>\n",
       "      <td>PC</td>\n",
       "      <td>IT2A</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   FACULTY NAME SUBJECT BRANCH-YEAR-SECTION\n",
       "6      V Murali      PC               CSE2A\n",
       "7      V Murali      PC               CSE2B\n",
       "8      V Murali      PC               CSE2C\n",
       "9      V Murali      PC               CSE2D\n",
       "22  K Sreevani       PC                IT2A"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# selecting rows by their values\n",
    "\n",
    "df[df['SUBJECT']=='PC']"
   ]
  }
 ],
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