Pandas-Indexing1.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "e785388f",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "b969c9aa",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>school_code</th>\n",
       "      <th>class</th>\n",
       "      <th>name</th>\n",
       "      <th>date_Of_Birth</th>\n",
       "      <th>weight</th>\n",
       "      <th>address</th>\n",
       "      <th>t_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>s001</td>\n",
       "      <td>V</td>\n",
       "      <td>Alberto Franco</td>\n",
       "      <td>15/05/2002</td>\n",
       "      <td>35</td>\n",
       "      <td>street1</td>\n",
       "      <td>t1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>s002</td>\n",
       "      <td>V</td>\n",
       "      <td>Gino Mcneill</td>\n",
       "      <td>17/05/2002</td>\n",
       "      <td>32</td>\n",
       "      <td>street2</td>\n",
       "      <td>t2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>s003</td>\n",
       "      <td>VI</td>\n",
       "      <td>Ryan Parkes</td>\n",
       "      <td>16/02/1999</td>\n",
       "      <td>33</td>\n",
       "      <td>street3</td>\n",
       "      <td>t3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>s001</td>\n",
       "      <td>VI</td>\n",
       "      <td>Eesha Hinton</td>\n",
       "      <td>25/09/1998</td>\n",
       "      <td>30</td>\n",
       "      <td>street1</td>\n",
       "      <td>t4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>s002</td>\n",
       "      <td>V</td>\n",
       "      <td>Gino Mcneill</td>\n",
       "      <td>11/05/2002</td>\n",
       "      <td>31</td>\n",
       "      <td>street2</td>\n",
       "      <td>t5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>s004</td>\n",
       "      <td>VI</td>\n",
       "      <td>David Parkes</td>\n",
       "      <td>15/09/1997</td>\n",
       "      <td>32</td>\n",
       "      <td>street4</td>\n",
       "      <td>t6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  school_code class            name date_Of_Birth  weight  address t_id\n",
       "0        s001     V  Alberto Franco    15/05/2002      35  street1   t1\n",
       "1        s002     V    Gino Mcneill    17/05/2002      32  street2   t2\n",
       "2        s003    VI     Ryan Parkes    16/02/1999      33  street3   t3\n",
       "3        s001    VI    Eesha Hinton    25/09/1998      30  street1   t4\n",
       "4        s002     V    Gino Mcneill    11/05/2002      31  street2   t5\n",
       "5        s004    VI    David Parkes    15/09/1997      32  street4   t6"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.DataFrame({\n",
    "    'school_code': ['s001','s002','s003','s001','s002','s004'],\n",
    "    'class': ['V', 'V', 'VI', 'VI', 'V', 'VI'],\n",
    "    'name': ['Alberto Franco','Gino Mcneill','Ryan Parkes', 'Eesha Hinton', 'Gino Mcneill', 'David Parkes'],\n",
    "    'date_Of_Birth': ['15/05/2002','17/05/2002','16/02/1999','25/09/1998','11/05/2002','15/09/1997'],\n",
    "    'weight': [35, 32, 33, 30, 31, 32],\n",
    "    'address': ['street1', 'street2', 'street3', 'street1', 'street2', 'street4'],\n",
    "    't_id':['t1', 't2', 't3', 't4', 't5', 't6']})\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2ac19e8a",
   "metadata": {},
   "source": [
    "### school code as new index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "a31c5b40",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>class</th>\n",
       "      <th>name</th>\n",
       "      <th>date_Of_Birth</th>\n",
       "      <th>weight</th>\n",
       "      <th>address</th>\n",
       "      <th>t_id</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>school_code</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>s001</th>\n",
       "      <td>V</td>\n",
       "      <td>Alberto Franco</td>\n",
       "      <td>15/05/2002</td>\n",
       "      <td>35</td>\n",
       "      <td>street1</td>\n",
       "      <td>t1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>s002</th>\n",
       "      <td>V</td>\n",
       "      <td>Gino Mcneill</td>\n",
       "      <td>17/05/2002</td>\n",
       "      <td>32</td>\n",
       "      <td>street2</td>\n",
       "      <td>t2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>s003</th>\n",
       "      <td>VI</td>\n",
       "      <td>Ryan Parkes</td>\n",
       "      <td>16/02/1999</td>\n",
       "      <td>33</td>\n",
       "      <td>street3</td>\n",
       "      <td>t3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>s001</th>\n",
       "      <td>VI</td>\n",
       "      <td>Eesha Hinton</td>\n",
       "      <td>25/09/1998</td>\n",
       "      <td>30</td>\n",
       "      <td>street1</td>\n",
       "      <td>t4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>s002</th>\n",
       "      <td>V</td>\n",
       "      <td>Gino Mcneill</td>\n",
       "      <td>11/05/2002</td>\n",
       "      <td>31</td>\n",
       "      <td>street2</td>\n",
       "      <td>t5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>s004</th>\n",
       "      <td>VI</td>\n",
       "      <td>David Parkes</td>\n",
       "      <td>15/09/1997</td>\n",
       "      <td>32</td>\n",
       "      <td>street4</td>\n",
       "      <td>t6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            class            name date_Of_Birth  weight  address t_id\n",
       "school_code                                                          \n",
       "s001            V  Alberto Franco    15/05/2002      35  street1   t1\n",
       "s002            V    Gino Mcneill    17/05/2002      32  street2   t2\n",
       "s003           VI     Ryan Parkes    16/02/1999      33  street3   t3\n",
       "s001           VI    Eesha Hinton    25/09/1998      30  street1   t4\n",
       "s002            V    Gino Mcneill    11/05/2002      31  street2   t5\n",
       "s004           VI    David Parkes    15/09/1997      32  street4   t6"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1 = df.set_index('school_code')\n",
    "df1"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2b1e93f6",
   "metadata": {},
   "source": [
    "### t_id as new index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "4de38d96",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>school_code</th>\n",
       "      <th>class</th>\n",
       "      <th>name</th>\n",
       "      <th>date_Of_Birth</th>\n",
       "      <th>weight</th>\n",
       "      <th>address</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>t_id</th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>t1</th>\n",
       "      <td>s001</td>\n",
       "      <td>V</td>\n",
       "      <td>Alberto Franco</td>\n",
       "      <td>15/05/2002</td>\n",
       "      <td>35</td>\n",
       "      <td>street1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>t2</th>\n",
       "      <td>s002</td>\n",
       "      <td>V</td>\n",
       "      <td>Gino Mcneill</td>\n",
       "      <td>17/05/2002</td>\n",
       "      <td>32</td>\n",
       "      <td>street2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>t3</th>\n",
       "      <td>s003</td>\n",
       "      <td>VI</td>\n",
       "      <td>Ryan Parkes</td>\n",
       "      <td>16/02/1999</td>\n",
       "      <td>33</td>\n",
       "      <td>street3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>t4</th>\n",
       "      <td>s001</td>\n",
       "      <td>VI</td>\n",
       "      <td>Eesha Hinton</td>\n",
       "      <td>25/09/1998</td>\n",
       "      <td>30</td>\n",
       "      <td>street1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>t5</th>\n",
       "      <td>s002</td>\n",
       "      <td>V</td>\n",
       "      <td>Gino Mcneill</td>\n",
       "      <td>11/05/2002</td>\n",
       "      <td>31</td>\n",
       "      <td>street2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>t6</th>\n",
       "      <td>s004</td>\n",
       "      <td>VI</td>\n",
       "      <td>David Parkes</td>\n",
       "      <td>15/09/1997</td>\n",
       "      <td>32</td>\n",
       "      <td>street4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     school_code class            name date_Of_Birth  weight  address\n",
       "t_id                                                                 \n",
       "t1          s001     V  Alberto Franco    15/05/2002      35  street1\n",
       "t2          s002     V    Gino Mcneill    17/05/2002      32  street2\n",
       "t3          s003    VI     Ryan Parkes    16/02/1999      33  street3\n",
       "t4          s001    VI    Eesha Hinton    25/09/1998      30  street1\n",
       "t5          s002     V    Gino Mcneill    11/05/2002      31  street2\n",
       "t6          s004    VI    David Parkes    15/09/1997      32  street4"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2 = df.set_index('t_id')\n",
    "df2"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6500f44b",
   "metadata": {},
   "source": [
    "### Multi-Indexing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "4668e881",
   "metadata": {},
   "outputs": [
    {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>class</th>\n",
       "      <th>name</th>\n",
       "      <th>date_Of_Birth</th>\n",
       "      <th>weight</th>\n",
       "      <th>address</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>t_id</th>\n",
       "      <th>school_code</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>t1</th>\n",
       "      <th>s001</th>\n",
       "      <td>V</td>\n",
       "      <td>Alberto Franco</td>\n",
       "      <td>15/05/2002</td>\n",
       "      <td>35</td>\n",
       "      <td>street1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>t2</th>\n",
       "      <th>s002</th>\n",
       "      <td>V</td>\n",
       "      <td>Gino Mcneill</td>\n",
       "      <td>17/05/2002</td>\n",
       "      <td>32</td>\n",
       "      <td>street2</td>\n",
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       "    <tr>\n",
       "      <th>t3</th>\n",
       "      <th>s003</th>\n",
       "      <td>VI</td>\n",
       "      <td>Ryan Parkes</td>\n",
       "      <td>16/02/1999</td>\n",
       "      <td>33</td>\n",
       "      <td>street3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>t4</th>\n",
       "      <th>s001</th>\n",
       "      <td>VI</td>\n",
       "      <td>Eesha Hinton</td>\n",
       "      <td>25/09/1998</td>\n",
       "      <td>30</td>\n",
       "      <td>street1</td>\n",
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       "    <tr>\n",
       "      <th>t5</th>\n",
       "      <th>s002</th>\n",
       "      <td>V</td>\n",
       "      <td>Gino Mcneill</td>\n",
       "      <td>11/05/2002</td>\n",
       "      <td>31</td>\n",
       "      <td>street2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>t6</th>\n",
       "      <th>s004</th>\n",
       "      <td>VI</td>\n",
       "      <td>David Parkes</td>\n",
       "      <td>15/09/1997</td>\n",
       "      <td>32</td>\n",
       "      <td>street4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      ],
      "text/plain": [
       "                 class            name date_Of_Birth  weight  address\n",
       "t_id school_code                                                     \n",
       "t1   s001            V  Alberto Franco    15/05/2002      35  street1\n",
       "t2   s002            V    Gino Mcneill    17/05/2002      32  street2\n",
       "t3   s003           VI     Ryan Parkes    16/02/1999      33  street3\n",
       "t4   s001           VI    Eesha Hinton    25/09/1998      30  street1\n",
       "t5   s002            V    Gino Mcneill    11/05/2002      31  street2\n",
       "t6   s004           VI    David Parkes    15/09/1997      32  street4"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1 = df.set_index(['t_id', 'school_code'])\n",
    "df1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "42b8af1a",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>school_code</th>\n",
       "      <th>class</th>\n",
       "      <th>name</th>\n",
       "      <th>date_Of_Birth</th>\n",
       "      <th>weight</th>\n",
       "      <th>address</th>\n",
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       "    <tr>\n",
       "      <th></th>\n",
       "      <th>t_id</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <th>t1</th>\n",
       "      <td>s001</td>\n",
       "      <td>V</td>\n",
       "      <td>Alberto Franco</td>\n",
       "      <td>15/05/2002</td>\n",
       "      <td>35</td>\n",
       "      <td>street1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <th>t2</th>\n",
       "      <td>s002</td>\n",
       "      <td>V</td>\n",
       "      <td>Gino Mcneill</td>\n",
       "      <td>17/05/2002</td>\n",
       "      <td>32</td>\n",
       "      <td>street2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <th>t3</th>\n",
       "      <td>s003</td>\n",
       "      <td>VI</td>\n",
       "      <td>Ryan Parkes</td>\n",
       "      <td>16/02/1999</td>\n",
       "      <td>33</td>\n",
       "      <td>street3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <th>t4</th>\n",
       "      <td>s001</td>\n",
       "      <td>VI</td>\n",
       "      <td>Eesha Hinton</td>\n",
       "      <td>25/09/1998</td>\n",
       "      <td>30</td>\n",
       "      <td>street1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <th>t5</th>\n",
       "      <td>s002</td>\n",
       "      <td>V</td>\n",
       "      <td>Gino Mcneill</td>\n",
       "      <td>11/05/2002</td>\n",
       "      <td>31</td>\n",
       "      <td>street2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <th>t6</th>\n",
       "      <td>s004</td>\n",
       "      <td>VI</td>\n",
       "      <td>David Parkes</td>\n",
       "      <td>15/09/1997</td>\n",
       "      <td>32</td>\n",
       "      <td>street4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       school_code class            name date_Of_Birth  weight  address\n",
       "  t_id                                                                 \n",
       "0 t1          s001     V  Alberto Franco    15/05/2002      35  street1\n",
       "1 t2          s002     V    Gino Mcneill    17/05/2002      32  street2\n",
       "2 t3          s003    VI     Ryan Parkes    16/02/1999      33  street3\n",
       "3 t4          s001    VI    Eesha Hinton    25/09/1998      30  street1\n",
       "4 t5          s002     V    Gino Mcneill    11/05/2002      31  street2\n",
       "5 t6          s004    VI    David Parkes    15/09/1997      32  street4"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2 = df.set_index([pd.Index([0, 1, 2, 3, 4, 5]), 't_id'])\n",
    "df2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "d397537c",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>V</td>\n",
       "      <td>Alberto Franco</td>\n",
       "      <td>15/05/2002</td>\n",
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       "    <tr>\n",
       "      <th>t4</th>\n",
       "      <td>s001</td>\n",
       "      <td>VI</td>\n",
       "      <td>Eesha Hinton</td>\n",
       "      <td>25/09/1998</td>\n",
       "      <td>30</td>\n",
       "      <td>street1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
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       "      <td>Gino Mcneill</td>\n",
       "      <td>11/05/2002</td>\n",
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       "    <tr>\n",
       "      <th>t6</th>\n",
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       "      <td>VI</td>\n",
       "      <td>David Parkes</td>\n",
       "      <td>15/09/1997</td>\n",
       "      <td>32</td>\n",
       "      <td>street4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     school_code class            name date_Of_Birth  weight  address\n",
       "t_id                                                                 \n",
       "t1          s001     V  Alberto Franco    15/05/2002      35  street1\n",
       "t2          s002     V    Gino Mcneill    17/05/2002      32  street2\n",
       "t3          s003    VI     Ryan Parkes    16/02/1999      33  street3\n",
       "t4          s001    VI    Eesha Hinton    25/09/1998      30  street1\n",
       "t5          s002     V    Gino Mcneill    11/05/2002      31  street2\n",
       "t6          s004    VI    David Parkes    15/09/1997      32  street4"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#set a column as an Index in a given dataframe and then reset the index\n",
    "df1 = df.set_index('t_id')\n",
    "df1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "6dfa4a27",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>t_id</th>\n",
       "      <th>school_code</th>\n",
       "      <th>class</th>\n",
       "      <th>name</th>\n",
       "      <th>date_Of_Birth</th>\n",
       "      <th>weight</th>\n",
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       "      <td>Alberto Franco</td>\n",
       "      <td>15/05/2002</td>\n",
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       "      <td>street1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>t2</td>\n",
       "      <td>s002</td>\n",
       "      <td>V</td>\n",
       "      <td>Gino Mcneill</td>\n",
       "      <td>17/05/2002</td>\n",
       "      <td>32</td>\n",
       "      <td>street2</td>\n",
       "    </tr>\n",
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       "      <th>2</th>\n",
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       "      <td>16/02/1999</td>\n",
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       "      <th>3</th>\n",
       "      <td>t4</td>\n",
       "      <td>s001</td>\n",
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       "      <td>Eesha Hinton</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
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       "      <td>s002</td>\n",
       "      <td>V</td>\n",
       "      <td>Gino Mcneill</td>\n",
       "      <td>11/05/2002</td>\n",
       "      <td>31</td>\n",
       "      <td>street2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>t6</td>\n",
       "      <td>s004</td>\n",
       "      <td>VI</td>\n",
       "      <td>David Parkes</td>\n",
       "      <td>15/09/1997</td>\n",
       "      <td>32</td>\n",
       "      <td>street4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  t_id school_code class            name date_Of_Birth  weight  address\n",
       "0   t1        s001     V  Alberto Franco    15/05/2002      35  street1\n",
       "1   t2        s002     V    Gino Mcneill    17/05/2002      32  street2\n",
       "2   t3        s003    VI     Ryan Parkes    16/02/1999      33  street3\n",
       "3   t4        s001    VI    Eesha Hinton    25/09/1998      30  street1\n",
       "4   t5        s002     V    Gino Mcneill    11/05/2002      31  street2\n",
       "5   t6        s004    VI    David Parkes    15/09/1997      32  street4"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2 = df1.reset_index(inplace=False)\n",
    "df2"
   ]
  }
 ],
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