Day37 - Joins in Pandas.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# **Joins In Pandas**"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In pandas, \"joins\" refer to the process of combining data from two or more DataFrames based on a common column or index. There are several types of joins available, which determine how rows are matched between DataFrames. Let's go into more detail about the different types of joins and how to perform them in pandas:\n",
    "\n",
    "![image.png](attachment:image.png)\n",
    "\n",
    "1. **Inner Join**:\n",
    "   - An inner join returns only the rows that have matching keys in both DataFrames.\n",
    "   - Use the `pd.merge()` function with the `how='inner'` parameter or use the `.merge()` method with the same parameter to perform an inner join.\n",
    "   - Example:\n",
    "\n",
    "   ```python\n",
    "   merged_df = pd.merge(left_df, right_df, on='key', how='inner')\n",
    "   ```\n",
    "\n",
    "2. **Left Join (Left Outer Join)**:\n",
    "   - A left join returns all the rows from the left DataFrame and the matching rows from the right DataFrame. Non-matching rows from the left DataFrame will also be included.\n",
    "   - Use the `how='left'` parameter with `pd.merge()` or `.merge()` to perform a left join.\n",
    "   - Example:\n",
    "\n",
    "   ```python\n",
    "   merged_df = pd.merge(left_df, right_df, on='key', how='left')\n",
    "   ```\n",
    "\n",
    "3. **Right Join (Right Outer Join)**:\n",
    "   - A right join is the opposite of a left join. It returns all the rows from the right DataFrame and the matching rows from the left DataFrame. Non-matching rows from the right DataFrame will also be included.\n",
    "   - Use the `how='right'` parameter with `pd.merge()` or `.merge()` to perform a right join.\n",
    "   - Example:\n",
    "\n",
    "   ```python\n",
    "   merged_df = pd.merge(left_df, right_df, on='key', how='right')\n",
    "   ```\n",
    "\n",
    "4. **Full Outer Join**:\n",
    "   - A full outer join returns all rows from both DataFrames, including both matching and non-matching rows.\n",
    "   - Use the `how='outer'` parameter with `pd.merge()` or `.merge()` to perform a full outer join.\n",
    "   - Example:\n",
    "\n",
    "   ```python\n",
    "   merged_df = pd.merge(left_df, right_df, on='key', how='outer')\n",
    "   ```\n",
    "\n",
    "5. **Join on Multiple Columns**:\n",
    "   - You can perform joins on multiple columns by passing a list of column names to the `on` parameter.\n",
    "   - Example:\n",
    "\n",
    "   ```python\n",
    "   merged_df = pd.merge(left_df, right_df, on=['key1', 'key2'], how='inner')\n",
    "   ```\n",
    "\n",
    "6. **Join on Index**:\n",
    "   - You can join DataFrames based on their indices using the `left_index` and `right_index` parameters set to `True`.\n",
    "   - Example:\n",
    "\n",
    "   ```python\n",
    "   merged_df = pd.merge(left_df, right_df, left_index=True, right_index=True, how='inner')\n",
    "   ```\n",
    "\n",
    "7. **Suffixes**:\n",
    "   - If DataFrames have columns with the same name, you can specify suffixes to differentiate them in the merged DataFrame using the `suffixes` parameter.\n",
    "   - Example:\n",
    "\n",
    "   ```python\n",
    "   merged_df = pd.merge(left_df, right_df, on='key', how='inner', suffixes=('_left', '_right'))\n",
    "   ```\n",
    "\n",
    "Joins in pandas are a powerful way to combine and analyze data from multiple sources. It's important to understand the structure of your data and the requirements of your analysis to choose the appropriate type of join. You can also use the `.join()` method if you want to join DataFrames based on their indices or use `pd.concat()` to stack DataFrames without performing a join based on columns or indices."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## **Practical on Joins In Pandas**\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# import some Dataset\n",
    "courses = pd.read_csv('Data\\Day37\\courses.csv')\n",
    "\n",
    "\n",
    "dec = pd.read_csv('Data\\Day37\\Dec.csv')\n",
    "matches = pd.read_csv('Data\\Day37\\matches.csv')\n",
    "delivery = pd.read_csv('Data\\Day37\\deliveries.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "students = pd.read_csv('Data\\Day37\\student.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "nov = pd.read_csv('Nov.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Concat"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<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",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>student_id</th>\n",
       "      <th>course_id</th>\n",
       "      <th>student_id</th>\n",
       "      <th>course_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>23.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>15.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>16</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>18.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>23.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>12</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>16.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>14</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>18.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>7.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>16</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>22.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>17</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>15.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>11</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>19.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>14</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>1.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>12</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>7.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>12</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>11.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>18</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>13.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>24.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>21.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>16.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>7</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>23.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>22</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>17.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>22</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>23.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>23</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>25.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>23</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>19.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>14</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>25.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>14</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>11</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>42</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>50</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    student_id  course_id  student_id  course_id\n",
       "0         23.0        1.0           3          5\n",
       "1         15.0        5.0          16          7\n",
       "2         18.0        6.0          12         10\n",
       "3         23.0        4.0          12          1\n",
       "4         16.0        9.0          14          9\n",
       "5         18.0        1.0           7          7\n",
       "6          1.0        1.0           7          2\n",
       "7          7.0        8.0          16          3\n",
       "8         22.0        3.0          17         10\n",
       "9         15.0        1.0          11          8\n",
       "10        19.0        4.0          14          6\n",
       "11         1.0        6.0          12          5\n",
       "12         7.0       10.0          12          7\n",
       "13        11.0        7.0          18          8\n",
       "14        13.0        3.0           1         10\n",
       "15        24.0        4.0           1          9\n",
       "16        21.0        1.0           2          5\n",
       "17        16.0        5.0           7          6\n",
       "18        23.0        3.0          22          5\n",
       "19        17.0        7.0          22          6\n",
       "20        23.0        6.0          23          9\n",
       "21        25.0        1.0          23          5\n",
       "22        19.0        2.0          14          4\n",
       "23        25.0       10.0          14          1\n",
       "24         3.0        3.0          11         10\n",
       "25         NaN        NaN          42          9\n",
       "26         NaN        NaN          50          8\n",
       "27         NaN        NaN          38          1"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.concat([nov,dec],axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "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>student_id</th>\n",
       "      <th>course_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>15</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   student_id  course_id\n",
       "0          23          1\n",
       "1          15          5"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "regs = pd.concat([nov,dec],ignore_index=True)\n",
    "regs.head(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Inner join"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "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>student_id</th>\n",
       "      <th>name</th>\n",
       "      <th>partner</th>\n",
       "      <th>course_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>Kailash Harjo</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>Kailash Harjo</td>\n",
       "      <td>23</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>Kailash Harjo</td>\n",
       "      <td>23</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>Kailash Harjo</td>\n",
       "      <td>23</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2</td>\n",
       "      <td>Esha Butala</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   student_id           name  partner  course_id\n",
       "0           1  Kailash Harjo       23          1\n",
       "1           1  Kailash Harjo       23          6\n",
       "2           1  Kailash Harjo       23         10\n",
       "3           1  Kailash Harjo       23          9\n",
       "4           2    Esha Butala        1          5"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "inner = students.merge(regs,how='inner',on='student_id')\n",
    "inner.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## left join"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "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>course_id</th>\n",
       "      <th>course_name</th>\n",
       "      <th>price</th>\n",
       "      <th>student_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>python</td>\n",
       "      <td>2499</td>\n",
       "      <td>23.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>python</td>\n",
       "      <td>2499</td>\n",
       "      <td>18.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>python</td>\n",
       "      <td>2499</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>python</td>\n",
       "      <td>2499</td>\n",
       "      <td>15.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>python</td>\n",
       "      <td>2499</td>\n",
       "      <td>21.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   course_id course_name  price  student_id\n",
       "0          1      python   2499        23.0\n",
       "1          1      python   2499        18.0\n",
       "2          1      python   2499         1.0\n",
       "3          1      python   2499        15.0\n",
       "4          1      python   2499        21.0"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "left = courses.merge(regs,how='left',on='course_id')\n",
    "left.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## right join"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "temp_df = pd.DataFrame({\n",
    "    'student_id':[26,27,28],\n",
    "    'name':['Nitish','Ankit','Rahul'],\n",
    "    'partner':[28,26,17]\n",
    "})\n",
    "\n",
    "students = pd.concat([students,temp_df],ignore_index=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "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>student_id</th>\n",
       "      <th>name</th>\n",
       "      <th>partner</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>Kailash Harjo</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>Esha Butala</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>Parveen Bhalla</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>Marlo Dugal</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>Kusum Bahri</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   student_id            name  partner\n",
       "0           1   Kailash Harjo       23\n",
       "1           2     Esha Butala        1\n",
       "2           3  Parveen Bhalla        3\n",
       "3           4     Marlo Dugal       14\n",
       "4           5     Kusum Bahri        6"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "students.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## outer join"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "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>student_id</th>\n",
       "      <th>name</th>\n",
       "      <th>partner</th>\n",
       "      <th>course_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>23</td>\n",
       "      <td>Chhavi Lachman</td>\n",
       "      <td>18.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>24</td>\n",
       "      <td>Radhika Suri</td>\n",
       "      <td>17.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>25</td>\n",
       "      <td>Shashank D’Alia</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>25</td>\n",
       "      <td>Shashank D’Alia</td>\n",
       "      <td>2.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>26</td>\n",
       "      <td>Nitish</td>\n",
       "      <td>28.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>27</td>\n",
       "      <td>Ankit</td>\n",
       "      <td>26.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>28</td>\n",
       "      <td>Rahul</td>\n",
       "      <td>17.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>42</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>50</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>38</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    student_id             name  partner  course_id\n",
       "53          23   Chhavi Lachman     18.0        5.0\n",
       "54          24     Radhika Suri     17.0        4.0\n",
       "55          25  Shashank D’Alia      2.0        1.0\n",
       "56          25  Shashank D’Alia      2.0       10.0\n",
       "57          26           Nitish     28.0        NaN\n",
       "58          27            Ankit     26.0        NaN\n",
       "59          28            Rahul     17.0        NaN\n",
       "60          42              NaN      NaN        9.0\n",
       "61          50              NaN      NaN        8.0\n",
       "62          38              NaN      NaN        1.0"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "students.merge(regs,how='outer',on='student_id').tail(10)"
   ]
  }
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