 Merging , Joining and Concatenating.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "week1 = pd.read_csv('Restaurant - Week 1 Sales.csv')\n",
    "week2 = pd.read_csv('Restaurant - Week 2 Sales.csv')\n",
    "customers = pd.read_csv('Restaurant - Customers.csv')\n",
    "foods = pd.read_csv('Restaurant - Foods.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# pd.concat() method"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "week1 = pd.read_csv('Restaurant - Week 1 Sales.csv')\n",
    "week2 = pd.read_csv('Restaurant - Week 2 Sales.csv')\n",
    "customers = pd.read_csv('Restaurant - Customers.csv')\n",
    "foods = pd.read_csv('Restaurant - Foods.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "250"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(week1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "250"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(week2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "500"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(pd.concat([week1,week2]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Customer ID</th>\n",
       "      <th>Food ID</th>\n",
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       "  </thead>\n",
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       "      <td>6</td>\n",
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       "      <td>75</td>\n",
       "      <td>6</td>\n",
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       "      <th>22</th>\n",
       "      <td>78</td>\n",
       "      <td>7</td>\n",
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       "      <td>8</td>\n",
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       "      <td>2</td>\n",
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       "      <td>8</td>\n",
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       "      <th>485</th>\n",
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       "      <td>8</td>\n",
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       "      <th>486</th>\n",
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       "      <td>9</td>\n",
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       "      <th>487</th>\n",
       "      <td>855</td>\n",
       "      <td>4</td>\n",
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       "    <tr>\n",
       "      <th>488</th>\n",
       "      <td>233</td>\n",
       "      <td>3</td>\n",
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       "      <th>489</th>\n",
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       "      <td>10</td>\n",
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       "      <td>1</td>\n",
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       "<p>500 rows × 2 columns</p>\n",
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      "text/plain": [
       "     Customer ID  Food ID\n",
       "0            537        9\n",
       "1             97        4\n",
       "2            658        1\n",
       "3            202        2\n",
       "4            155        9\n",
       "5            213        8\n",
       "6            600        1\n",
       "7            503        5\n",
       "8             71        3\n",
       "9            174        3\n",
       "10           961        9\n",
       "11           966        5\n",
       "12           641        4\n",
       "13           288        2\n",
       "14           149        4\n",
       "15           954        2\n",
       "16           147        9\n",
       "17           155        1\n",
       "18           550        6\n",
       "19           101        7\n",
       "20           549        6\n",
       "21            75        6\n",
       "22            78        7\n",
       "23           514        5\n",
       "24           833        7\n",
       "25           329        8\n",
       "26           586       10\n",
       "27           341        1\n",
       "28           519       10\n",
       "29           680        9\n",
       "..           ...      ...\n",
       "470          495        2\n",
       "471          794        6\n",
       "472          734       10\n",
       "473          540        3\n",
       "474          735        2\n",
       "475          940        8\n",
       "476          571        7\n",
       "477          888        2\n",
       "478          664        6\n",
       "479          343        7\n",
       "480          143        4\n",
       "481          505        3\n",
       "482           54        8\n",
       "483          959        2\n",
       "484          367        8\n",
       "485          883        8\n",
       "486          251        9\n",
       "487          855        4\n",
       "488          233        3\n",
       "489          559       10\n",
       "490          734        1\n",
       "491          677        3\n",
       "492          276        4\n",
       "493           45        8\n",
       "494          945        4\n",
       "495          783       10\n",
       "496          556       10\n",
       "497          547        9\n",
       "498          252        9\n",
       "499          249        6\n",
       "\n",
       "[500 rows x 2 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.concat([week1,week2], ignore_index = True) \n",
    "#ignore_index parameter adds 2 df but changes the index to pandas default ( 0 to N)\n",
    "#otherwise the df will be added below one another but index will be whatever from the provided 2 df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "sales = pd.concat([week1,week2],keys=[\"A\",\"B\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\kmuthu2\\AppData\\Local\\Continuum\\anaconda3\\lib\\site-packages\\ipykernel_launcher.py:1: DeprecationWarning: \n",
      ".ix is deprecated. Please use\n",
      ".loc for label based indexing or\n",
      ".iloc for positional indexing\n",
      "\n",
      "See the documentation here:\n",
      "http://pandas.pydata.org/pandas-docs/stable/indexing.html#ix-indexer-is-deprecated\n",
      "  \"\"\"Entry point for launching an IPython kernel.\n"
     ]
    },
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       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>586</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>341</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>519</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>680</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>220</th>\n",
       "      <td>147</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>221</th>\n",
       "      <td>745</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>222</th>\n",
       "      <td>184</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>223</th>\n",
       "      <td>828</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>224</th>\n",
       "      <td>578</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>225</th>\n",
       "      <td>491</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>226</th>\n",
       "      <td>62</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227</th>\n",
       "      <td>77</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>228</th>\n",
       "      <td>506</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>229</th>\n",
       "      <td>271</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>230</th>\n",
       "      <td>584</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>231</th>\n",
       "      <td>148</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>232</th>\n",
       "      <td>595</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>233</th>\n",
       "      <td>274</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>234</th>\n",
       "      <td>646</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>235</th>\n",
       "      <td>520</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>236</th>\n",
       "      <td>644</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>237</th>\n",
       "      <td>725</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>238</th>\n",
       "      <td>934</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>151</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240</th>\n",
       "      <td>945</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241</th>\n",
       "      <td>343</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>242</th>\n",
       "      <td>380</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>243</th>\n",
       "      <td>911</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>244</th>\n",
       "      <td>621</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>245</th>\n",
       "      <td>413</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>246</th>\n",
       "      <td>926</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>247</th>\n",
       "      <td>134</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>248</th>\n",
       "      <td>396</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>249</th>\n",
       "      <td>535</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>250 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Customer ID  Food ID\n",
       "0            537        9\n",
       "1             97        4\n",
       "2            658        1\n",
       "3            202        2\n",
       "4            155        9\n",
       "5            213        8\n",
       "6            600        1\n",
       "7            503        5\n",
       "8             71        3\n",
       "9            174        3\n",
       "10           961        9\n",
       "11           966        5\n",
       "12           641        4\n",
       "13           288        2\n",
       "14           149        4\n",
       "15           954        2\n",
       "16           147        9\n",
       "17           155        1\n",
       "18           550        6\n",
       "19           101        7\n",
       "20           549        6\n",
       "21            75        6\n",
       "22            78        7\n",
       "23           514        5\n",
       "24           833        7\n",
       "25           329        8\n",
       "26           586       10\n",
       "27           341        1\n",
       "28           519       10\n",
       "29           680        9\n",
       "..           ...      ...\n",
       "220          147        8\n",
       "221          745        4\n",
       "222          184        3\n",
       "223          828        8\n",
       "224          578        5\n",
       "225          491        4\n",
       "226           62        4\n",
       "227           77        9\n",
       "228          506        9\n",
       "229          271        9\n",
       "230          584       10\n",
       "231          148        5\n",
       "232          595        3\n",
       "233          274       10\n",
       "234          646        1\n",
       "235          520        8\n",
       "236          644        8\n",
       "237          725        8\n",
       "238          934        4\n",
       "239          151       10\n",
       "240          945        5\n",
       "241          343        3\n",
       "242          380        9\n",
       "243          911        4\n",
       "244          621        9\n",
       "245          413        9\n",
       "246          926        6\n",
       "247          134        3\n",
       "248          396        6\n",
       "249          535       10\n",
       "\n",
       "[250 rows x 2 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sales.ix['A']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\kmuthu2\\AppData\\Local\\Continuum\\anaconda3\\lib\\site-packages\\ipykernel_launcher.py:1: DeprecationWarning: \n",
      ".ix is deprecated. Please use\n",
      ".loc for label based indexing or\n",
      ".iloc for positional indexing\n",
      "\n",
      "See the documentation here:\n",
      "http://pandas.pydata.org/pandas-docs/stable/indexing.html#ix-indexer-is-deprecated\n",
      "  \"\"\"Entry point for launching an IPython kernel.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Customer ID    945\n",
       "Food ID          5\n",
       "Name: (A, 240), dtype: int64"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sales.ix[('A',240)]\n",
    "#We can also get a specific row by passing "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\kmuthu2\\AppData\\Local\\Continuum\\anaconda3\\lib\\site-packages\\ipykernel_launcher.py:1: DeprecationWarning: \n",
      ".ix is deprecated. Please use\n",
      ".loc for label based indexing or\n",
      ".iloc for positional indexing\n",
      "\n",
      "See the documentation here:\n",
      "http://pandas.pydata.org/pandas-docs/stable/indexing.html#ix-indexer-is-deprecated\n",
      "  \"\"\"Entry point for launching an IPython kernel.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "734"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sales.ix[('B',240),\"Customer ID\"]\n",
    "#Can pass another value as arg and can get a specific value"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## .append() method"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "week1 = pd.read_csv('Restaurant - Week 1 Sales.csv')\n",
    "week2 = pd.read_csv('Restaurant - Week 2 Sales.csv')\n",
    "customers = pd.read_csv('Restaurant - Customers.csv')\n",
    "foods = pd.read_csv('Restaurant - Foods.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "sales = week2.append(week1,ignore_index=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "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>Customer ID</th>\n",
       "      <th>Food ID</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>688</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>813</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>495</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>189</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>267</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>310</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>761</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>443</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>729</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>741</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>847</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>156</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>550</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>620</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>272</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>511</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>8</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>534</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>909</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>732</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>372</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>713</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>496</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>381</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>13</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>101</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>325</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>674</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>564</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>578</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>470</th>\n",
       "      <td>147</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>471</th>\n",
       "      <td>745</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>472</th>\n",
       "      <td>184</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>473</th>\n",
       "      <td>828</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>474</th>\n",
       "      <td>578</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>475</th>\n",
       "      <td>491</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>476</th>\n",
       "      <td>62</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477</th>\n",
       "      <td>77</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>478</th>\n",
       "      <td>506</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>479</th>\n",
       "      <td>271</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>480</th>\n",
       "      <td>584</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>481</th>\n",
       "      <td>148</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>482</th>\n",
       "      <td>595</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>483</th>\n",
       "      <td>274</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>484</th>\n",
       "      <td>646</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>485</th>\n",
       "      <td>520</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>486</th>\n",
       "      <td>644</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>487</th>\n",
       "      <td>725</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>488</th>\n",
       "      <td>934</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>489</th>\n",
       "      <td>151</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>490</th>\n",
       "      <td>945</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>491</th>\n",
       "      <td>343</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>492</th>\n",
       "      <td>380</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>493</th>\n",
       "      <td>911</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>494</th>\n",
       "      <td>621</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>495</th>\n",
       "      <td>413</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>496</th>\n",
       "      <td>926</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>497</th>\n",
       "      <td>134</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>498</th>\n",
       "      <td>396</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>499</th>\n",
       "      <td>535</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>500 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Customer ID  Food ID\n",
       "0            688       10\n",
       "1            813        7\n",
       "2            495       10\n",
       "3            189        5\n",
       "4            267        3\n",
       "5            310        5\n",
       "6            761        2\n",
       "7            443        5\n",
       "8            729        9\n",
       "9            741        8\n",
       "10           847        6\n",
       "11           156       10\n",
       "12           550        7\n",
       "13           620       10\n",
       "14           272        4\n",
       "15           511        2\n",
       "16             8        6\n",
       "17           534        7\n",
       "18           909        6\n",
       "19           732        9\n",
       "20           372        4\n",
       "21           713        1\n",
       "22           496        3\n",
       "23           381        9\n",
       "24            13        2\n",
       "25           101        4\n",
       "26           325        7\n",
       "27           674        2\n",
       "28           564        8\n",
       "29           578        5\n",
       "..           ...      ...\n",
       "470          147        8\n",
       "471          745        4\n",
       "472          184        3\n",
       "473          828        8\n",
       "474          578        5\n",
       "475          491        4\n",
       "476           62        4\n",
       "477           77        9\n",
       "478          506        9\n",
       "479          271        9\n",
       "480          584       10\n",
       "481          148        5\n",
       "482          595        3\n",
       "483          274       10\n",
       "484          646        1\n",
       "485          520        8\n",
       "486          644        8\n",
       "487          725        8\n",
       "488          934        4\n",
       "489          151       10\n",
       "490          945        5\n",
       "491          343        3\n",
       "492          380        9\n",
       "493          911        4\n",
       "494          621        9\n",
       "495          413        9\n",
       "496          926        6\n",
       "497          134        3\n",
       "498          396        6\n",
       "499          535       10\n",
       "\n",
       "[500 rows x 2 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sales"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Inner joins in pandas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "week1 = pd.read_csv('Restaurant - Week 1 Sales.csv')\n",
    "week2 = pd.read_csv('Restaurant - Week 2 Sales.csv')\n",
    "customers = pd.read_csv('Restaurant - Customers.csv')\n",
    "foods = pd.read_csv('Restaurant - Foods.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\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>Customer ID</th>\n",
       "      <th>Food ID</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>537</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>97</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Customer ID  Food ID\n",
       "0          537        9\n",
       "1           97        4"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "week1.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "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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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Customer ID</th>\n",
       "      <th>Food ID</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>688</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>813</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Customer ID  Food ID\n",
       "0          688       10\n",
       "1          813        7"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "week2.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "scrolled": true
   },
   "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",
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       "\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>Customer ID</th>\n",
       "      <th>Food ID- Week 1</th>\n",
       "      <th>Food ID- Week 2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>537</td>\n",
       "      <td>9</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>155</td>\n",
       "      <td>9</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>155</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>503</td>\n",
       "      <td>5</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Customer ID  Food ID- Week 1  Food ID- Week 2\n",
       "0          537                9                5\n",
       "1          155                9                3\n",
       "2          155                1                3\n",
       "3          503                5                8"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "week1.merge(week2, how = \"inner\", on=\"Customer ID\", suffixes=[\"- Week 1\", \"- Week 2\"]).head(4)\n",
    "#on=\"Customer ID\" this works only when 2 df has one common column"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Customer ID</th>\n",
       "      <th>Food ID</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>155</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>155</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Customer ID  Food ID\n",
       "4           155        9\n",
       "17          155        1"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "week1[week1[\"Customer ID\"] == 155]"
   ]
  },
  {
   "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>Customer ID</th>\n",
       "      <th>Food ID</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>208</th>\n",
       "      <td>155</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Customer ID  Food ID\n",
       "208          155        3"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "week2[week2[\"Customer ID\"] == 155]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Inner joins in multiple columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "week1 = pd.read_csv('Restaurant - Week 1 Sales.csv')\n",
    "week2 = pd.read_csv('Restaurant - Week 2 Sales.csv')\n",
    "customers = pd.read_csv('Restaurant - Customers.csv')\n",
    "foods = pd.read_csv('Restaurant - Foods.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
       "    .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>Customer ID</th>\n",
       "      <th>Food ID</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>537</td>\n",
       "      <td>9</td>\n",
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       "      <th>1</th>\n",
       "      <td>97</td>\n",
       "      <td>4</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Customer ID  Food ID\n",
       "0          537        9\n",
       "1           97        4"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "week1.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Customer ID</th>\n",
       "      <th>Food ID</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
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       "      <th>1</th>\n",
       "      <td>813</td>\n",
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       "</table>\n",
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      ],
      "text/plain": [
       "   Customer ID  Food ID\n",
       "0          688       10\n",
       "1          813        7"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "week2.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "\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>Customer ID</th>\n",
       "      <th>Food ID</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>304</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>540</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>937</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>233</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>21</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>21</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>922</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>578</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>578</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Customer ID  Food ID\n",
       "0          304        3\n",
       "1          540        3\n",
       "2          937       10\n",
       "3          233        3\n",
       "4           21        4\n",
       "5           21        4\n",
       "6          922        1\n",
       "7          578        5\n",
       "8          578        5"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "week1.merge(week2, how=\"inner\", on=[\"Customer ID\",\"Food ID\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "week1 = pd.read_csv('Restaurant - Week 1 Sales.csv')\n",
    "week2 = pd.read_csv('Restaurant - Week 2 Sales.csv')\n",
    "customers = pd.read_csv('Restaurant - Customers.csv')\n",
    "foods = pd.read_csv('Restaurant - Foods.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<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>Customer ID</th>\n",
       "      <th>Food ID</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
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      "text/plain": [
       "   Customer ID  Food ID\n",
       "0          537        9\n",
       "1           97        4"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "week1.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "      <th></th>\n",
       "      <th>Customer ID</th>\n",
       "      <th>Food ID</th>\n",
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      "text/plain": [
       "   Customer ID  Food ID\n",
       "0          688       10\n",
       "1          813        7"
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     },
     "execution_count": 27,
     "metadata": {},
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   "source": [
    "week2.head(2)"
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  {
   "cell_type": "code",
   "execution_count": 28,
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   "outputs": [
    {
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       "   Customer ID  Food ID\n",
       "0          304        3\n",
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       "4           21        4\n",
       "5           21        4\n",
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       "8          578        5"
      ]
     },
     "execution_count": 28,
     "metadata": {},
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    }
   ],
   "source": [
    "week1.merge(week2, how = \"inner\",on = [\"Customer ID\",\"Food ID\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
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       "     Customer ID  Food ID\n",
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       "212           21        4"
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   "source": [
    "week1[week1[\"Customer ID\"] == 21]"
   ]
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  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
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       "    Customer ID  Food ID\n",
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    "week2[week2[\"Customer ID\"] == 21]"
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  {
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   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
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       "     Customer ID  Food ID\n",
       "224          578        5"
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   "source": [
    "week1[week1[\"Customer ID\"] == 578]"
   ]
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  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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   "source": [
    "week2[week2[\"Customer ID\"] == 578]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Outer Joins"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "week1 = pd.read_csv('Restaurant - Week 1 Sales.csv')\n",
    "week2 = pd.read_csv('Restaurant - Week 2 Sales.csv')\n",
    "customers = pd.read_csv('Restaurant - Customers.csv')\n",
    "foods = pd.read_csv('Restaurant - Foods.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
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       "   Customer ID  Food ID\n",
       "0          537        9\n",
       "1           97        4"
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     "execution_count": 34,
     "metadata": {},
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   "source": [
    "week1.head(2)"
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  {
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   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
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       "   Customer ID  Food ID\n",
       "0          688       10\n",
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     "execution_count": 35,
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    "week2.head(2)"
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   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
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       "      <th>14</th>\n",
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       "      <th>15</th>\n",
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       "      <th>17</th>\n",
       "      <td>149</td>\n",
       "      <td>4.0</td>\n",
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       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>954</td>\n",
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       "      <td>9.0</td>\n",
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       "      <th>20</th>\n",
       "      <td>147</td>\n",
       "      <td>8.0</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>550</td>\n",
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       "      <th>22</th>\n",
       "      <td>101</td>\n",
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       "      <th>23</th>\n",
       "      <td>549</td>\n",
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       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>75</td>\n",
       "      <td>6.0</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>78</td>\n",
       "      <td>7.0</td>\n",
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       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>514</td>\n",
       "      <td>5.0</td>\n",
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       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>833</td>\n",
       "      <td>7.0</td>\n",
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       "      <th>28</th>\n",
       "      <td>833</td>\n",
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       "    <tr>\n",
       "      <th>430</th>\n",
       "      <td>305</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>431</th>\n",
       "      <td>869</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>432</th>\n",
       "      <td>131</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>433</th>\n",
       "      <td>208</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>434</th>\n",
       "      <td>145</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>435</th>\n",
       "      <td>794</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>436</th>\n",
       "      <td>734</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>437</th>\n",
       "      <td>734</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>438</th>\n",
       "      <td>735</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>439</th>\n",
       "      <td>940</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>440</th>\n",
       "      <td>571</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>441</th>\n",
       "      <td>888</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>442</th>\n",
       "      <td>664</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>443</th>\n",
       "      <td>143</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>444</th>\n",
       "      <td>505</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>445</th>\n",
       "      <td>54</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>446</th>\n",
       "      <td>367</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>447</th>\n",
       "      <td>883</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>448</th>\n",
       "      <td>251</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>449</th>\n",
       "      <td>855</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>450</th>\n",
       "      <td>559</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>451</th>\n",
       "      <td>276</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>452</th>\n",
       "      <td>556</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>453</th>\n",
       "      <td>252</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>454 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Customer ID  Food ID- week1   Food ID- week 2\n",
       "0            537              9.0              5.0\n",
       "1             97              4.0              NaN\n",
       "2            658              1.0              NaN\n",
       "3            202              2.0              NaN\n",
       "4            155              9.0              3.0\n",
       "5            155              1.0              3.0\n",
       "6            213              8.0              NaN\n",
       "7            600              1.0              NaN\n",
       "8            503              5.0              8.0\n",
       "9            503              5.0              9.0\n",
       "10            71              3.0              NaN\n",
       "11            71              8.0              NaN\n",
       "12           174              3.0              NaN\n",
       "13           961              9.0              NaN\n",
       "14           966              5.0              NaN\n",
       "15           641              4.0              NaN\n",
       "16           288              2.0              NaN\n",
       "17           149              4.0              NaN\n",
       "18           954              2.0              NaN\n",
       "19           147              9.0              NaN\n",
       "20           147              8.0              NaN\n",
       "21           550              6.0              7.0\n",
       "22           101              7.0              4.0\n",
       "23           549              6.0              NaN\n",
       "24            75              6.0              4.0\n",
       "25            78              7.0              NaN\n",
       "26           514              5.0              NaN\n",
       "27           833              7.0              NaN\n",
       "28           833              3.0              NaN\n",
       "29           329              8.0              NaN\n",
       "..           ...              ...              ...\n",
       "424          622              NaN              9.0\n",
       "425          959              NaN              4.0\n",
       "426          959              NaN              2.0\n",
       "427          810              NaN              2.0\n",
       "428          488              NaN              2.0\n",
       "429          188              NaN              8.0\n",
       "430          305              NaN              2.0\n",
       "431          869              NaN              7.0\n",
       "432          131              NaN              1.0\n",
       "433          208              NaN              4.0\n",
       "434          145              NaN              5.0\n",
       "435          794              NaN              6.0\n",
       "436          734              NaN             10.0\n",
       "437          734              NaN              1.0\n",
       "438          735              NaN              2.0\n",
       "439          940              NaN              8.0\n",
       "440          571              NaN              7.0\n",
       "441          888              NaN              2.0\n",
       "442          664              NaN              6.0\n",
       "443          143              NaN              4.0\n",
       "444          505              NaN              3.0\n",
       "445           54              NaN              8.0\n",
       "446          367              NaN              8.0\n",
       "447          883              NaN              8.0\n",
       "448          251              NaN              9.0\n",
       "449          855              NaN              4.0\n",
       "450          559              NaN             10.0\n",
       "451          276              NaN              4.0\n",
       "452          556              NaN             10.0\n",
       "453          252              NaN              9.0\n",
       "\n",
       "[454 rows x 3 columns]"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "week1.merge(week2, how = \"outer\", on = \"Customer ID\", suffixes=[\"- week1 \", \"- week 2\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "454"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(week1.merge(week2, how = \"outer\", on = \"Customer ID\", suffixes=[\"- week1 \", \"- week 2\"]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "# why not 500 why only 454 rows \n",
    "#for only 454 rows we can match our customer ID together"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "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>Customer ID</th>\n",
       "      <th>Food ID- week1</th>\n",
       "      <th>Food ID- week 2</th>\n",
       "      <th>_merge</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>537</td>\n",
       "      <td>9.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>both</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>97</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>658</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>202</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>155</td>\n",
       "      <td>9.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>both</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>155</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>both</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>213</td>\n",
       "      <td>8.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>600</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>503</td>\n",
       "      <td>5.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>both</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>503</td>\n",
       "      <td>5.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>both</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>71</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>71</td>\n",
       "      <td>8.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>174</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>961</td>\n",
       "      <td>9.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>966</td>\n",
       "      <td>5.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>641</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>288</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>149</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>954</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>147</td>\n",
       "      <td>9.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>147</td>\n",
       "      <td>8.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>550</td>\n",
       "      <td>6.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>both</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>101</td>\n",
       "      <td>7.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>both</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>549</td>\n",
       "      <td>6.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>75</td>\n",
       "      <td>6.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>both</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>78</td>\n",
       "      <td>7.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>514</td>\n",
       "      <td>5.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>833</td>\n",
       "      <td>7.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>833</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>329</td>\n",
       "      <td>8.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>424</th>\n",
       "      <td>622</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.0</td>\n",
       "      <td>right_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>425</th>\n",
       "      <td>959</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>right_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>426</th>\n",
       "      <td>959</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>right_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>427</th>\n",
       "      <td>810</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>right_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>428</th>\n",
       "      <td>488</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>right_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>429</th>\n",
       "      <td>188</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.0</td>\n",
       "      <td>right_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>430</th>\n",
       "      <td>305</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>right_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>431</th>\n",
       "      <td>869</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.0</td>\n",
       "      <td>right_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>432</th>\n",
       "      <td>131</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>right_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>433</th>\n",
       "      <td>208</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>right_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>434</th>\n",
       "      <td>145</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.0</td>\n",
       "      <td>right_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>435</th>\n",
       "      <td>794</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.0</td>\n",
       "      <td>right_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>436</th>\n",
       "      <td>734</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>right_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>437</th>\n",
       "      <td>734</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>right_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>438</th>\n",
       "      <td>735</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>right_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>439</th>\n",
       "      <td>940</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.0</td>\n",
       "      <td>right_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>440</th>\n",
       "      <td>571</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.0</td>\n",
       "      <td>right_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>441</th>\n",
       "      <td>888</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>right_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>442</th>\n",
       "      <td>664</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.0</td>\n",
       "      <td>right_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>443</th>\n",
       "      <td>143</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>right_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>444</th>\n",
       "      <td>505</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>right_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>445</th>\n",
       "      <td>54</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.0</td>\n",
       "      <td>right_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>446</th>\n",
       "      <td>367</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.0</td>\n",
       "      <td>right_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>447</th>\n",
       "      <td>883</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.0</td>\n",
       "      <td>right_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>448</th>\n",
       "      <td>251</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.0</td>\n",
       "      <td>right_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>449</th>\n",
       "      <td>855</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>right_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>450</th>\n",
       "      <td>559</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>right_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>451</th>\n",
       "      <td>276</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>right_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>452</th>\n",
       "      <td>556</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>right_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>453</th>\n",
       "      <td>252</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.0</td>\n",
       "      <td>right_only</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>454 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Customer ID  Food ID- week1   Food ID- week 2      _merge\n",
       "0            537              9.0              5.0        both\n",
       "1             97              4.0              NaN   left_only\n",
       "2            658              1.0              NaN   left_only\n",
       "3            202              2.0              NaN   left_only\n",
       "4            155              9.0              3.0        both\n",
       "5            155              1.0              3.0        both\n",
       "6            213              8.0              NaN   left_only\n",
       "7            600              1.0              NaN   left_only\n",
       "8            503              5.0              8.0        both\n",
       "9            503              5.0              9.0        both\n",
       "10            71              3.0              NaN   left_only\n",
       "11            71              8.0              NaN   left_only\n",
       "12           174              3.0              NaN   left_only\n",
       "13           961              9.0              NaN   left_only\n",
       "14           966              5.0              NaN   left_only\n",
       "15           641              4.0              NaN   left_only\n",
       "16           288              2.0              NaN   left_only\n",
       "17           149              4.0              NaN   left_only\n",
       "18           954              2.0              NaN   left_only\n",
       "19           147              9.0              NaN   left_only\n",
       "20           147              8.0              NaN   left_only\n",
       "21           550              6.0              7.0        both\n",
       "22           101              7.0              4.0        both\n",
       "23           549              6.0              NaN   left_only\n",
       "24            75              6.0              4.0        both\n",
       "25            78              7.0              NaN   left_only\n",
       "26           514              5.0              NaN   left_only\n",
       "27           833              7.0              NaN   left_only\n",
       "28           833              3.0              NaN   left_only\n",
       "29           329              8.0              NaN   left_only\n",
       "..           ...              ...              ...         ...\n",
       "424          622              NaN              9.0  right_only\n",
       "425          959              NaN              4.0  right_only\n",
       "426          959              NaN              2.0  right_only\n",
       "427          810              NaN              2.0  right_only\n",
       "428          488              NaN              2.0  right_only\n",
       "429          188              NaN              8.0  right_only\n",
       "430          305              NaN              2.0  right_only\n",
       "431          869              NaN              7.0  right_only\n",
       "432          131              NaN              1.0  right_only\n",
       "433          208              NaN              4.0  right_only\n",
       "434          145              NaN              5.0  right_only\n",
       "435          794              NaN              6.0  right_only\n",
       "436          734              NaN             10.0  right_only\n",
       "437          734              NaN              1.0  right_only\n",
       "438          735              NaN              2.0  right_only\n",
       "439          940              NaN              8.0  right_only\n",
       "440          571              NaN              7.0  right_only\n",
       "441          888              NaN              2.0  right_only\n",
       "442          664              NaN              6.0  right_only\n",
       "443          143              NaN              4.0  right_only\n",
       "444          505              NaN              3.0  right_only\n",
       "445           54              NaN              8.0  right_only\n",
       "446          367              NaN              8.0  right_only\n",
       "447          883              NaN              8.0  right_only\n",
       "448          251              NaN              9.0  right_only\n",
       "449          855              NaN              4.0  right_only\n",
       "450          559              NaN             10.0  right_only\n",
       "451          276              NaN              4.0  right_only\n",
       "452          556              NaN             10.0  right_only\n",
       "453          252              NaN              9.0  right_only\n",
       "\n",
       "[454 rows x 4 columns]"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "week1.merge(week2, how = \"outer\", on = \"Customer ID\", suffixes=[\"- week1 \", \"- week 2\"], indicator=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "merged = week1.merge(week2, how = \"outer\", on = \"Customer ID\", suffixes=[\"- week1 \", \"- week 2\"], indicator=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "right_only    197\n",
       "left_only     195\n",
       "both           62\n",
       "Name: _merge, dtype: int64"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "merged['_merge'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "mask = merged['_merge'].isin([\"left_only\",\"right_only\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "scrolled": true
   },
   "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>Customer ID</th>\n",
       "      <th>Food ID- week1</th>\n",
       "      <th>Food ID- week 2</th>\n",
       "      <th>_merge</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>97</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>658</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>202</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>213</td>\n",
       "      <td>8.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>600</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>71</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>71</td>\n",
       "      <td>8.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>174</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>961</td>\n",
       "      <td>9.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>966</td>\n",
       "      <td>5.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>641</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>288</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>149</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>954</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>147</td>\n",
       "      <td>9.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>147</td>\n",
       "      <td>8.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>549</td>\n",
       "      <td>6.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>78</td>\n",
       "      <td>7.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>514</td>\n",
       "      <td>5.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>833</td>\n",
       "      <td>7.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>833</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>329</td>\n",
       "      <td>8.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>586</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>341</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>519</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>680</td>\n",
       "      <td>9.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>419</td>\n",
       "      <td>7.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>20</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>822</td>\n",
       "      <td>6.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>226</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>left_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>424</th>\n",
       "      <td>622</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.0</td>\n",
       "      <td>right_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>425</th>\n",
       "      <td>959</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>right_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>426</th>\n",
       "      <td>959</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>right_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>427</th>\n",
       "      <td>810</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>right_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>428</th>\n",
       "      <td>488</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>right_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>429</th>\n",
       "      <td>188</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.0</td>\n",
       "      <td>right_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>430</th>\n",
       "      <td>305</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>right_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>431</th>\n",
       "      <td>869</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.0</td>\n",
       "      <td>right_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>432</th>\n",
       "      <td>131</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>right_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>433</th>\n",
       "      <td>208</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>right_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>434</th>\n",
       "      <td>145</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.0</td>\n",
       "      <td>right_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>435</th>\n",
       "      <td>794</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.0</td>\n",
       "      <td>right_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>436</th>\n",
       "      <td>734</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>right_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>437</th>\n",
       "      <td>734</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>right_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>438</th>\n",
       "      <td>735</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>right_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>439</th>\n",
       "      <td>940</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.0</td>\n",
       "      <td>right_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>440</th>\n",
       "      <td>571</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.0</td>\n",
       "      <td>right_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>441</th>\n",
       "      <td>888</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>right_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>442</th>\n",
       "      <td>664</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.0</td>\n",
       "      <td>right_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>443</th>\n",
       "      <td>143</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>right_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>444</th>\n",
       "      <td>505</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>right_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>445</th>\n",
       "      <td>54</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.0</td>\n",
       "      <td>right_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>446</th>\n",
       "      <td>367</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.0</td>\n",
       "      <td>right_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>447</th>\n",
       "      <td>883</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.0</td>\n",
       "      <td>right_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>448</th>\n",
       "      <td>251</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.0</td>\n",
       "      <td>right_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>449</th>\n",
       "      <td>855</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>right_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>450</th>\n",
       "      <td>559</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>right_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>451</th>\n",
       "      <td>276</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>right_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>452</th>\n",
       "      <td>556</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>right_only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>453</th>\n",
       "      <td>252</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.0</td>\n",
       "      <td>right_only</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>392 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Customer ID  Food ID- week1   Food ID- week 2      _merge\n",
       "1             97              4.0              NaN   left_only\n",
       "2            658              1.0              NaN   left_only\n",
       "3            202              2.0              NaN   left_only\n",
       "6            213              8.0              NaN   left_only\n",
       "7            600              1.0              NaN   left_only\n",
       "10            71              3.0              NaN   left_only\n",
       "11            71              8.0              NaN   left_only\n",
       "12           174              3.0              NaN   left_only\n",
       "13           961              9.0              NaN   left_only\n",
       "14           966              5.0              NaN   left_only\n",
       "15           641              4.0              NaN   left_only\n",
       "16           288              2.0              NaN   left_only\n",
       "17           149              4.0              NaN   left_only\n",
       "18           954              2.0              NaN   left_only\n",
       "19           147              9.0              NaN   left_only\n",
       "20           147              8.0              NaN   left_only\n",
       "23           549              6.0              NaN   left_only\n",
       "25            78              7.0              NaN   left_only\n",
       "26           514              5.0              NaN   left_only\n",
       "27           833              7.0              NaN   left_only\n",
       "28           833              3.0              NaN   left_only\n",
       "29           329              8.0              NaN   left_only\n",
       "30           586             10.0              NaN   left_only\n",
       "31           341              1.0              NaN   left_only\n",
       "32           519             10.0              NaN   left_only\n",
       "33           680              9.0              NaN   left_only\n",
       "34           419              7.0              NaN   left_only\n",
       "35            20              1.0              NaN   left_only\n",
       "36           822              6.0              NaN   left_only\n",
       "37           226             10.0              NaN   left_only\n",
       "..           ...              ...              ...         ...\n",
       "424          622              NaN              9.0  right_only\n",
       "425          959              NaN              4.0  right_only\n",
       "426          959              NaN              2.0  right_only\n",
       "427          810              NaN              2.0  right_only\n",
       "428          488              NaN              2.0  right_only\n",
       "429          188              NaN              8.0  right_only\n",
       "430          305              NaN              2.0  right_only\n",
       "431          869              NaN              7.0  right_only\n",
       "432          131              NaN              1.0  right_only\n",
       "433          208              NaN              4.0  right_only\n",
       "434          145              NaN              5.0  right_only\n",
       "435          794              NaN              6.0  right_only\n",
       "436          734              NaN             10.0  right_only\n",
       "437          734              NaN              1.0  right_only\n",
       "438          735              NaN              2.0  right_only\n",
       "439          940              NaN              8.0  right_only\n",
       "440          571              NaN              7.0  right_only\n",
       "441          888              NaN              2.0  right_only\n",
       "442          664              NaN              6.0  right_only\n",
       "443          143              NaN              4.0  right_only\n",
       "444          505              NaN              3.0  right_only\n",
       "445           54              NaN              8.0  right_only\n",
       "446          367              NaN              8.0  right_only\n",
       "447          883              NaN              8.0  right_only\n",
       "448          251              NaN              9.0  right_only\n",
       "449          855              NaN              4.0  right_only\n",
       "450          559              NaN             10.0  right_only\n",
       "451          276              NaN              4.0  right_only\n",
       "452          556              NaN             10.0  right_only\n",
       "453          252              NaN              9.0  right_only\n",
       "\n",
       "[392 rows x 4 columns]"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "merged[mask]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Left joins"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "week1 = pd.read_csv('Restaurant - Week 1 Sales.csv')\n",
    "week2 = pd.read_csv('Restaurant - Week 2 Sales.csv')\n",
    "customers = pd.read_csv('Restaurant - Customers.csv')\n",
    "foods = pd.read_csv('Restaurant - Foods.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "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",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Customer ID</th>\n",
       "      <th>Food ID</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>537</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>97</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>658</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Customer ID  Food ID\n",
       "0          537        9\n",
       "1           97        4\n",
       "2          658        1"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "week1.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\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>Customer ID</th>\n",
       "      <th>Food ID</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>688</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>813</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>495</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Customer ID  Food ID\n",
       "0          688       10\n",
       "1          813        7\n",
       "2          495       10"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "week2.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "scrolled": true
   },
   "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",
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       "        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>Customer ID</th>\n",
       "      <th>Food ID</th>\n",
       "      <th>Food Item</th>\n",
       "      <th>Price</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>658</td>\n",
       "      <td>1</td>\n",
       "      <td>Sushi</td>\n",
       "      <td>3.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>600</td>\n",
       "      <td>1</td>\n",
       "      <td>Sushi</td>\n",
       "      <td>3.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>155</td>\n",
       "      <td>1</td>\n",
       "      <td>Sushi</td>\n",
       "      <td>3.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>341</td>\n",
       "      <td>1</td>\n",
       "      <td>Sushi</td>\n",
       "      <td>3.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>20</td>\n",
       "      <td>1</td>\n",
       "      <td>Sushi</td>\n",
       "      <td>3.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>77</td>\n",
       "      <td>1</td>\n",
       "      <td>Sushi</td>\n",
       "      <td>3.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>100</td>\n",
       "      <td>1</td>\n",
       "      <td>Sushi</td>\n",
       "      <td>3.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>953</td>\n",
       "      <td>1</td>\n",
       "      <td>Sushi</td>\n",
       "      <td>3.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>504</td>\n",
       "      <td>1</td>\n",
       "      <td>Sushi</td>\n",
       "      <td>3.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>323</td>\n",
       "      <td>1</td>\n",
       "      <td>Sushi</td>\n",
       "      <td>3.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>922</td>\n",
       "      <td>1</td>\n",
       "      <td>Sushi</td>\n",
       "      <td>3.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>909</td>\n",
       "      <td>1</td>\n",
       "      <td>Sushi</td>\n",
       "      <td>3.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>602</td>\n",
       "      <td>1</td>\n",
       "      <td>Sushi</td>\n",
       "      <td>3.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>74</td>\n",
       "      <td>1</td>\n",
       "      <td>Sushi</td>\n",
       "      <td>3.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>703</td>\n",
       "      <td>1</td>\n",
       "      <td>Sushi</td>\n",
       "      <td>3.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>962</td>\n",
       "      <td>1</td>\n",
       "      <td>Sushi</td>\n",
       "      <td>3.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>968</td>\n",
       "      <td>1</td>\n",
       "      <td>Sushi</td>\n",
       "      <td>3.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>190</td>\n",
       "      <td>1</td>\n",
       "      <td>Sushi</td>\n",
       "      <td>3.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>163</td>\n",
       "      <td>1</td>\n",
       "      <td>Sushi</td>\n",
       "      <td>3.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>321</td>\n",
       "      <td>1</td>\n",
       "      <td>Sushi</td>\n",
       "      <td>3.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>310</td>\n",
       "      <td>1</td>\n",
       "      <td>Sushi</td>\n",
       "      <td>3.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>798</td>\n",
       "      <td>1</td>\n",
       "      <td>Sushi</td>\n",
       "      <td>3.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>92</td>\n",
       "      <td>1</td>\n",
       "      <td>Sushi</td>\n",
       "      <td>3.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>646</td>\n",
       "      <td>1</td>\n",
       "      <td>Sushi</td>\n",
       "      <td>3.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>202</td>\n",
       "      <td>2</td>\n",
       "      <td>Burrito</td>\n",
       "      <td>9.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>288</td>\n",
       "      <td>2</td>\n",
       "      <td>Burrito</td>\n",
       "      <td>9.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>954</td>\n",
       "      <td>2</td>\n",
       "      <td>Burrito</td>\n",
       "      <td>9.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>203</td>\n",
       "      <td>2</td>\n",
       "      <td>Burrito</td>\n",
       "      <td>9.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>876</td>\n",
       "      <td>2</td>\n",
       "      <td>Burrito</td>\n",
       "      <td>9.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>30</td>\n",
       "      <td>2</td>\n",
       "      <td>Burrito</td>\n",
       "      <td>9.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>220</th>\n",
       "      <td>77</td>\n",
       "      <td>9</td>\n",
       "      <td>Donut</td>\n",
       "      <td>0.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>221</th>\n",
       "      <td>506</td>\n",
       "      <td>9</td>\n",
       "      <td>Donut</td>\n",
       "      <td>0.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>222</th>\n",
       "      <td>271</td>\n",
       "      <td>9</td>\n",
       "      <td>Donut</td>\n",
       "      <td>0.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>223</th>\n",
       "      <td>380</td>\n",
       "      <td>9</td>\n",
       "      <td>Donut</td>\n",
       "      <td>0.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>224</th>\n",
       "      <td>621</td>\n",
       "      <td>9</td>\n",
       "      <td>Donut</td>\n",
       "      <td>0.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>225</th>\n",
       "      <td>413</td>\n",
       "      <td>9</td>\n",
       "      <td>Donut</td>\n",
       "      <td>0.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>226</th>\n",
       "      <td>586</td>\n",
       "      <td>10</td>\n",
       "      <td>Drink</td>\n",
       "      <td>1.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227</th>\n",
       "      <td>519</td>\n",
       "      <td>10</td>\n",
       "      <td>Drink</td>\n",
       "      <td>1.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>228</th>\n",
       "      <td>226</td>\n",
       "      <td>10</td>\n",
       "      <td>Drink</td>\n",
       "      <td>1.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>229</th>\n",
       "      <td>682</td>\n",
       "      <td>10</td>\n",
       "      <td>Drink</td>\n",
       "      <td>1.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>230</th>\n",
       "      <td>450</td>\n",
       "      <td>10</td>\n",
       "      <td>Drink</td>\n",
       "      <td>1.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>231</th>\n",
       "      <td>358</td>\n",
       "      <td>10</td>\n",
       "      <td>Drink</td>\n",
       "      <td>1.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>232</th>\n",
       "      <td>677</td>\n",
       "      <td>10</td>\n",
       "      <td>Drink</td>\n",
       "      <td>1.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>233</th>\n",
       "      <td>250</td>\n",
       "      <td>10</td>\n",
       "      <td>Drink</td>\n",
       "      <td>1.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>234</th>\n",
       "      <td>351</td>\n",
       "      <td>10</td>\n",
       "      <td>Drink</td>\n",
       "      <td>1.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>235</th>\n",
       "      <td>937</td>\n",
       "      <td>10</td>\n",
       "      <td>Drink</td>\n",
       "      <td>1.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>236</th>\n",
       "      <td>64</td>\n",
       "      <td>10</td>\n",
       "      <td>Drink</td>\n",
       "      <td>1.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>237</th>\n",
       "      <td>912</td>\n",
       "      <td>10</td>\n",
       "      <td>Drink</td>\n",
       "      <td>1.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>238</th>\n",
       "      <td>772</td>\n",
       "      <td>10</td>\n",
       "      <td>Drink</td>\n",
       "      <td>1.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>919</td>\n",
       "      <td>10</td>\n",
       "      <td>Drink</td>\n",
       "      <td>1.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240</th>\n",
       "      <td>574</td>\n",
       "      <td>10</td>\n",
       "      <td>Drink</td>\n",
       "      <td>1.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241</th>\n",
       "      <td>338</td>\n",
       "      <td>10</td>\n",
       "      <td>Drink</td>\n",
       "      <td>1.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>242</th>\n",
       "      <td>225</td>\n",
       "      <td>10</td>\n",
       "      <td>Drink</td>\n",
       "      <td>1.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>243</th>\n",
       "      <td>475</td>\n",
       "      <td>10</td>\n",
       "      <td>Drink</td>\n",
       "      <td>1.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>244</th>\n",
       "      <td>51</td>\n",
       "      <td>10</td>\n",
       "      <td>Drink</td>\n",
       "      <td>1.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>245</th>\n",
       "      <td>809</td>\n",
       "      <td>10</td>\n",
       "      <td>Drink</td>\n",
       "      <td>1.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>246</th>\n",
       "      <td>584</td>\n",
       "      <td>10</td>\n",
       "      <td>Drink</td>\n",
       "      <td>1.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>247</th>\n",
       "      <td>274</td>\n",
       "      <td>10</td>\n",
       "      <td>Drink</td>\n",
       "      <td>1.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>248</th>\n",
       "      <td>151</td>\n",
       "      <td>10</td>\n",
       "      <td>Drink</td>\n",
       "      <td>1.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>249</th>\n",
       "      <td>535</td>\n",
       "      <td>10</td>\n",
       "      <td>Drink</td>\n",
       "      <td>1.75</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>250 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Customer ID  Food ID Food Item  Price\n",
       "0            658        1     Sushi   3.99\n",
       "1            600        1     Sushi   3.99\n",
       "2            155        1     Sushi   3.99\n",
       "3            341        1     Sushi   3.99\n",
       "4             20        1     Sushi   3.99\n",
       "5             77        1     Sushi   3.99\n",
       "6            100        1     Sushi   3.99\n",
       "7            953        1     Sushi   3.99\n",
       "8            504        1     Sushi   3.99\n",
       "9            323        1     Sushi   3.99\n",
       "10           922        1     Sushi   3.99\n",
       "11           909        1     Sushi   3.99\n",
       "12           602        1     Sushi   3.99\n",
       "13            74        1     Sushi   3.99\n",
       "14           703        1     Sushi   3.99\n",
       "15           962        1     Sushi   3.99\n",
       "16           968        1     Sushi   3.99\n",
       "17           190        1     Sushi   3.99\n",
       "18           163        1     Sushi   3.99\n",
       "19           321        1     Sushi   3.99\n",
       "20           310        1     Sushi   3.99\n",
       "21           798        1     Sushi   3.99\n",
       "22            92        1     Sushi   3.99\n",
       "23           646        1     Sushi   3.99\n",
       "24           202        2   Burrito   9.99\n",
       "25           288        2   Burrito   9.99\n",
       "26           954        2   Burrito   9.99\n",
       "27           203        2   Burrito   9.99\n",
       "28           876        2   Burrito   9.99\n",
       "29            30        2   Burrito   9.99\n",
       "..           ...      ...       ...    ...\n",
       "220           77        9     Donut   0.99\n",
       "221          506        9     Donut   0.99\n",
       "222          271        9     Donut   0.99\n",
       "223          380        9     Donut   0.99\n",
       "224          621        9     Donut   0.99\n",
       "225          413        9     Donut   0.99\n",
       "226          586       10     Drink   1.75\n",
       "227          519       10     Drink   1.75\n",
       "228          226       10     Drink   1.75\n",
       "229          682       10     Drink   1.75\n",
       "230          450       10     Drink   1.75\n",
       "231          358       10     Drink   1.75\n",
       "232          677       10     Drink   1.75\n",
       "233          250       10     Drink   1.75\n",
       "234          351       10     Drink   1.75\n",
       "235          937       10     Drink   1.75\n",
       "236           64       10     Drink   1.75\n",
       "237          912       10     Drink   1.75\n",
       "238          772       10     Drink   1.75\n",
       "239          919       10     Drink   1.75\n",
       "240          574       10     Drink   1.75\n",
       "241          338       10     Drink   1.75\n",
       "242          225       10     Drink   1.75\n",
       "243          475       10     Drink   1.75\n",
       "244           51       10     Drink   1.75\n",
       "245          809       10     Drink   1.75\n",
       "246          584       10     Drink   1.75\n",
       "247          274       10     Drink   1.75\n",
       "248          151       10     Drink   1.75\n",
       "249          535       10     Drink   1.75\n",
       "\n",
       "[250 rows x 4 columns]"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "week1.merge(foods,how = \"left\",on = \"Food ID\",sort = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "week1 = week1.merge(foods,how = \"left\",on = \"Food ID\",sort = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "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>Customer ID</th>\n",
       "      <th>Food ID</th>\n",
       "      <th>Food Item</th>\n",
       "      <th>Price</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>658</td>\n",
       "      <td>1</td>\n",
       "      <td>Sushi</td>\n",
       "      <td>3.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>600</td>\n",
       "      <td>1</td>\n",
       "      <td>Sushi</td>\n",
       "      <td>3.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>155</td>\n",
       "      <td>1</td>\n",
       "      <td>Sushi</td>\n",
       "      <td>3.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>341</td>\n",
       "      <td>1</td>\n",
       "      <td>Sushi</td>\n",
       "      <td>3.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>20</td>\n",
       "      <td>1</td>\n",
       "      <td>Sushi</td>\n",
       "      <td>3.99</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Customer ID  Food ID Food Item  Price\n",
       "0          658        1     Sushi   3.99\n",
       "1          600        1     Sushi   3.99\n",
       "2          155        1     Sushi   3.99\n",
       "3          341        1     Sushi   3.99\n",
       "4           20        1     Sushi   3.99"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "week1.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## left_on and right_on parameters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "week1 = pd.read_csv('Restaurant - Week 1 Sales.csv')\n",
    "week2 = pd.read_csv('Restaurant - Week 2 Sales.csv')\n",
    "customers = pd.read_csv('Restaurant - Customers.csv')\n",
    "foods = pd.read_csv('Restaurant - Foods.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "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>Customer ID</th>\n",
       "      <th>Food ID</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>688</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>813</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>495</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Customer ID  Food ID\n",
       "0          688       10\n",
       "1          813        7\n",
       "2          495       10"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "week2.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "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>ID</th>\n",
       "      <th>First Name</th>\n",
       "      <th>Last Name</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Company</th>\n",
       "      <th>Occupation</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>Joseph</td>\n",
       "      <td>Perkins</td>\n",
       "      <td>Male</td>\n",
       "      <td>Dynazzy</td>\n",
       "      <td>Community Outreach Specialist</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>Jennifer</td>\n",
       "      <td>Alvarez</td>\n",
       "      <td>Female</td>\n",
       "      <td>DabZ</td>\n",
       "      <td>Senior Quality Engineer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>Roger</td>\n",
       "      <td>Black</td>\n",
       "      <td>Male</td>\n",
       "      <td>Tagfeed</td>\n",
       "      <td>Account Executive</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   ID First Name Last Name  Gender  Company                     Occupation\n",
       "0   1     Joseph   Perkins    Male  Dynazzy  Community Outreach Specialist\n",
       "1   2   Jennifer   Alvarez  Female     DabZ        Senior Quality Engineer\n",
       "2   3      Roger     Black    Male  Tagfeed              Account Executive"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "customers.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "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>Customer ID</th>\n",
       "      <th>Food ID</th>\n",
       "      <th>ID</th>\n",
       "      <th>First Name</th>\n",
       "      <th>Last Name</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Company</th>\n",
       "      <th>Occupation</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>688</td>\n",
       "      <td>10</td>\n",
       "      <td>688</td>\n",
       "      <td>Carl</td>\n",
       "      <td>Williamson</td>\n",
       "      <td>Male</td>\n",
       "      <td>Thoughtmix</td>\n",
       "      <td>Graphic Designer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>813</td>\n",
       "      <td>7</td>\n",
       "      <td>813</td>\n",
       "      <td>Johnny</td>\n",
       "      <td>Walker</td>\n",
       "      <td>Male</td>\n",
       "      <td>Kayveo</td>\n",
       "      <td>Developer II</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>495</td>\n",
       "      <td>10</td>\n",
       "      <td>495</td>\n",
       "      <td>Deborah</td>\n",
       "      <td>Little</td>\n",
       "      <td>Female</td>\n",
       "      <td>Babbleblab</td>\n",
       "      <td>VP Accounting</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>495</td>\n",
       "      <td>6</td>\n",
       "      <td>495</td>\n",
       "      <td>Deborah</td>\n",
       "      <td>Little</td>\n",
       "      <td>Female</td>\n",
       "      <td>Babbleblab</td>\n",
       "      <td>VP Accounting</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>495</td>\n",
       "      <td>2</td>\n",
       "      <td>495</td>\n",
       "      <td>Deborah</td>\n",
       "      <td>Little</td>\n",
       "      <td>Female</td>\n",
       "      <td>Babbleblab</td>\n",
       "      <td>VP Accounting</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>495</td>\n",
       "      <td>2</td>\n",
       "      <td>495</td>\n",
       "      <td>Deborah</td>\n",
       "      <td>Little</td>\n",
       "      <td>Female</td>\n",
       "      <td>Babbleblab</td>\n",
       "      <td>VP Accounting</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>189</td>\n",
       "      <td>5</td>\n",
       "      <td>189</td>\n",
       "      <td>Roger</td>\n",
       "      <td>Gordon</td>\n",
       "      <td>Male</td>\n",
       "      <td>Skilith</td>\n",
       "      <td>Operator</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>267</td>\n",
       "      <td>3</td>\n",
       "      <td>267</td>\n",
       "      <td>Matthew</td>\n",
       "      <td>Wood</td>\n",
       "      <td>Male</td>\n",
       "      <td>Agimba</td>\n",
       "      <td>Product Engineer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>310</td>\n",
       "      <td>5</td>\n",
       "      <td>310</td>\n",
       "      <td>Bobby</td>\n",
       "      <td>Sims</td>\n",
       "      <td>Male</td>\n",
       "      <td>Skynoodle</td>\n",
       "      <td>Marketing Manager</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>761</td>\n",
       "      <td>2</td>\n",
       "      <td>761</td>\n",
       "      <td>Stephanie</td>\n",
       "      <td>Olson</td>\n",
       "      <td>Female</td>\n",
       "      <td>Rhynoodle</td>\n",
       "      <td>Web Developer IV</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>761</td>\n",
       "      <td>3</td>\n",
       "      <td>761</td>\n",
       "      <td>Stephanie</td>\n",
       "      <td>Olson</td>\n",
       "      <td>Female</td>\n",
       "      <td>Rhynoodle</td>\n",
       "      <td>Web Developer IV</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>443</td>\n",
       "      <td>5</td>\n",
       "      <td>443</td>\n",
       "      <td>Robert</td>\n",
       "      <td>Thompson</td>\n",
       "      <td>Male</td>\n",
       "      <td>Oozz</td>\n",
       "      <td>Teacher</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>729</td>\n",
       "      <td>9</td>\n",
       "      <td>729</td>\n",
       "      <td>Roger</td>\n",
       "      <td>Lawrence</td>\n",
       "      <td>Male</td>\n",
       "      <td>Wikizz</td>\n",
       "      <td>Web Designer I</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>741</td>\n",
       "      <td>8</td>\n",
       "      <td>741</td>\n",
       "      <td>Diana</td>\n",
       "      <td>Welch</td>\n",
       "      <td>Female</td>\n",
       "      <td>Eayo</td>\n",
       "      <td>Occupational Therapist</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>847</td>\n",
       "      <td>6</td>\n",
       "      <td>847</td>\n",
       "      <td>Irene</td>\n",
       "      <td>Owens</td>\n",
       "      <td>Female</td>\n",
       "      <td>Yabox</td>\n",
       "      <td>Accountant II</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>156</td>\n",
       "      <td>10</td>\n",
       "      <td>156</td>\n",
       "      <td>Stephanie</td>\n",
       "      <td>Kelly</td>\n",
       "      <td>Female</td>\n",
       "      <td>Youopia</td>\n",
       "      <td>Automation Specialist III</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>550</td>\n",
       "      <td>7</td>\n",
       "      <td>550</td>\n",
       "      <td>Walter</td>\n",
       "      <td>Miller</td>\n",
       "      <td>Male</td>\n",
       "      <td>Yata</td>\n",
       "      <td>Payment Adjustment Coordinator</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>620</td>\n",
       "      <td>10</td>\n",
       "      <td>620</td>\n",
       "      <td>Anne</td>\n",
       "      <td>Hill</td>\n",
       "      <td>Female</td>\n",
       "      <td>Dabshots</td>\n",
       "      <td>Recruiter</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>272</td>\n",
       "      <td>4</td>\n",
       "      <td>272</td>\n",
       "      <td>Jacqueline</td>\n",
       "      <td>Olson</td>\n",
       "      <td>Female</td>\n",
       "      <td>Gigashots</td>\n",
       "      <td>Director of Sales</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>511</td>\n",
       "      <td>2</td>\n",
       "      <td>511</td>\n",
       "      <td>Phyllis</td>\n",
       "      <td>Morgan</td>\n",
       "      <td>Female</td>\n",
       "      <td>Eimbee</td>\n",
       "      <td>Environmental Specialist</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>8</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>Frances</td>\n",
       "      <td>Adams</td>\n",
       "      <td>Female</td>\n",
       "      <td>Dabshots</td>\n",
       "      <td>Developer III</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>534</td>\n",
       "      <td>7</td>\n",
       "      <td>534</td>\n",
       "      <td>Carl</td>\n",
       "      <td>Butler</td>\n",
       "      <td>Male</td>\n",
       "      <td>Npath</td>\n",
       "      <td>Office Assistant I</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>909</td>\n",
       "      <td>6</td>\n",
       "      <td>909</td>\n",
       "      <td>Cheryl</td>\n",
       "      <td>Davis</td>\n",
       "      <td>Female</td>\n",
       "      <td>Edgeify</td>\n",
       "      <td>Health Coach IV</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>732</td>\n",
       "      <td>9</td>\n",
       "      <td>732</td>\n",
       "      <td>Daniel</td>\n",
       "      <td>Grant</td>\n",
       "      <td>Male</td>\n",
       "      <td>Riffpath</td>\n",
       "      <td>Nurse Practicioner</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>372</td>\n",
       "      <td>4</td>\n",
       "      <td>372</td>\n",
       "      <td>Steve</td>\n",
       "      <td>Robinson</td>\n",
       "      <td>Male</td>\n",
       "      <td>Zoomlounge</td>\n",
       "      <td>Dental Hygienist</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>713</td>\n",
       "      <td>1</td>\n",
       "      <td>713</td>\n",
       "      <td>Kenneth</td>\n",
       "      <td>Schmidt</td>\n",
       "      <td>Male</td>\n",
       "      <td>Skyble</td>\n",
       "      <td>Financial Analyst</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>496</td>\n",
       "      <td>3</td>\n",
       "      <td>496</td>\n",
       "      <td>Brian</td>\n",
       "      <td>Murray</td>\n",
       "      <td>Male</td>\n",
       "      <td>Abatz</td>\n",
       "      <td>Senior Sales Associate</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>496</td>\n",
       "      <td>8</td>\n",
       "      <td>496</td>\n",
       "      <td>Brian</td>\n",
       "      <td>Murray</td>\n",
       "      <td>Male</td>\n",
       "      <td>Abatz</td>\n",
       "      <td>Senior Sales Associate</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>381</td>\n",
       "      <td>9</td>\n",
       "      <td>381</td>\n",
       "      <td>Charles</td>\n",
       "      <td>Torres</td>\n",
       "      <td>Male</td>\n",
       "      <td>Tazzy</td>\n",
       "      <td>Food Chemist</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>13</td>\n",
       "      <td>2</td>\n",
       "      <td>13</td>\n",
       "      <td>Ruth</td>\n",
       "      <td>Alvarez</td>\n",
       "      <td>Female</td>\n",
       "      <td>Twitterlist</td>\n",
       "      <td>Mechanical Systems Engineer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>220</th>\n",
       "      <td>131</td>\n",
       "      <td>1</td>\n",
       "      <td>131</td>\n",
       "      <td>Margaret</td>\n",
       "      <td>Porter</td>\n",
       "      <td>Female</td>\n",
       "      <td>Eazzy</td>\n",
       "      <td>Sales Associate</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>221</th>\n",
       "      <td>520</td>\n",
       "      <td>7</td>\n",
       "      <td>520</td>\n",
       "      <td>Melissa</td>\n",
       "      <td>Wallace</td>\n",
       "      <td>Female</td>\n",
       "      <td>Skyvu</td>\n",
       "      <td>Administrative Officer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>222</th>\n",
       "      <td>208</td>\n",
       "      <td>4</td>\n",
       "      <td>208</td>\n",
       "      <td>Bonnie</td>\n",
       "      <td>Rice</td>\n",
       "      <td>Female</td>\n",
       "      <td>Eamia</td>\n",
       "      <td>Cost Accountant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>223</th>\n",
       "      <td>145</td>\n",
       "      <td>5</td>\n",
       "      <td>145</td>\n",
       "      <td>Doris</td>\n",
       "      <td>Wagner</td>\n",
       "      <td>Female</td>\n",
       "      <td>Browsezoom</td>\n",
       "      <td>Graphic Designer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>224</th>\n",
       "      <td>794</td>\n",
       "      <td>6</td>\n",
       "      <td>794</td>\n",
       "      <td>Bobby</td>\n",
       "      <td>Peterson</td>\n",
       "      <td>Male</td>\n",
       "      <td>Fivespan</td>\n",
       "      <td>Financial Analyst</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>225</th>\n",
       "      <td>734</td>\n",
       "      <td>10</td>\n",
       "      <td>734</td>\n",
       "      <td>Robin</td>\n",
       "      <td>Thomas</td>\n",
       "      <td>Female</td>\n",
       "      <td>Izio</td>\n",
       "      <td>Account Coordinator</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>226</th>\n",
       "      <td>734</td>\n",
       "      <td>1</td>\n",
       "      <td>734</td>\n",
       "      <td>Robin</td>\n",
       "      <td>Thomas</td>\n",
       "      <td>Female</td>\n",
       "      <td>Izio</td>\n",
       "      <td>Account Coordinator</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227</th>\n",
       "      <td>540</td>\n",
       "      <td>3</td>\n",
       "      <td>540</td>\n",
       "      <td>Jessica</td>\n",
       "      <td>Hicks</td>\n",
       "      <td>Female</td>\n",
       "      <td>Cogibox</td>\n",
       "      <td>Structural Analysis Engineer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>228</th>\n",
       "      <td>735</td>\n",
       "      <td>2</td>\n",
       "      <td>735</td>\n",
       "      <td>Eugene</td>\n",
       "      <td>Elliott</td>\n",
       "      <td>Male</td>\n",
       "      <td>Meedoo</td>\n",
       "      <td>VP Marketing</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>229</th>\n",
       "      <td>940</td>\n",
       "      <td>8</td>\n",
       "      <td>940</td>\n",
       "      <td>Bonnie</td>\n",
       "      <td>Bowman</td>\n",
       "      <td>Female</td>\n",
       "      <td>Avavee</td>\n",
       "      <td>Internal Auditor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>230</th>\n",
       "      <td>571</td>\n",
       "      <td>7</td>\n",
       "      <td>571</td>\n",
       "      <td>David</td>\n",
       "      <td>Collins</td>\n",
       "      <td>Male</td>\n",
       "      <td>Midel</td>\n",
       "      <td>Assistant Professor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>231</th>\n",
       "      <td>888</td>\n",
       "      <td>2</td>\n",
       "      <td>888</td>\n",
       "      <td>Jimmy</td>\n",
       "      <td>Wright</td>\n",
       "      <td>Male</td>\n",
       "      <td>Npath</td>\n",
       "      <td>Analog Circuit Design manager</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>232</th>\n",
       "      <td>664</td>\n",
       "      <td>6</td>\n",
       "      <td>664</td>\n",
       "      <td>Donna</td>\n",
       "      <td>Butler</td>\n",
       "      <td>Female</td>\n",
       "      <td>Miboo</td>\n",
       "      <td>Community Outreach Specialist</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>233</th>\n",
       "      <td>143</td>\n",
       "      <td>4</td>\n",
       "      <td>143</td>\n",
       "      <td>Christopher</td>\n",
       "      <td>Long</td>\n",
       "      <td>Male</td>\n",
       "      <td>Mybuzz</td>\n",
       "      <td>Accounting Assistant III</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>234</th>\n",
       "      <td>505</td>\n",
       "      <td>3</td>\n",
       "      <td>505</td>\n",
       "      <td>Douglas</td>\n",
       "      <td>Edwards</td>\n",
       "      <td>Male</td>\n",
       "      <td>Jabbersphere</td>\n",
       "      <td>Recruiting Manager</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>235</th>\n",
       "      <td>54</td>\n",
       "      <td>8</td>\n",
       "      <td>54</td>\n",
       "      <td>Amanda</td>\n",
       "      <td>Berry</td>\n",
       "      <td>Female</td>\n",
       "      <td>Jaxspan</td>\n",
       "      <td>Automation Specialist III</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>236</th>\n",
       "      <td>367</td>\n",
       "      <td>8</td>\n",
       "      <td>367</td>\n",
       "      <td>Mildred</td>\n",
       "      <td>Carr</td>\n",
       "      <td>Female</td>\n",
       "      <td>Jabberbean</td>\n",
       "      <td>Account Executive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>237</th>\n",
       "      <td>883</td>\n",
       "      <td>8</td>\n",
       "      <td>883</td>\n",
       "      <td>Sarah</td>\n",
       "      <td>Kim</td>\n",
       "      <td>Female</td>\n",
       "      <td>Topicshots</td>\n",
       "      <td>Cost Accountant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>238</th>\n",
       "      <td>251</td>\n",
       "      <td>9</td>\n",
       "      <td>251</td>\n",
       "      <td>Joseph</td>\n",
       "      <td>Anderson</td>\n",
       "      <td>Male</td>\n",
       "      <td>Quinu</td>\n",
       "      <td>Administrative Officer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>855</td>\n",
       "      <td>4</td>\n",
       "      <td>855</td>\n",
       "      <td>Mildred</td>\n",
       "      <td>Watson</td>\n",
       "      <td>Female</td>\n",
       "      <td>Yodel</td>\n",
       "      <td>Product Engineer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240</th>\n",
       "      <td>233</td>\n",
       "      <td>3</td>\n",
       "      <td>233</td>\n",
       "      <td>Robin</td>\n",
       "      <td>Lopez</td>\n",
       "      <td>Female</td>\n",
       "      <td>Wordpedia</td>\n",
       "      <td>Editor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241</th>\n",
       "      <td>559</td>\n",
       "      <td>10</td>\n",
       "      <td>559</td>\n",
       "      <td>Jeffrey</td>\n",
       "      <td>Henry</td>\n",
       "      <td>Male</td>\n",
       "      <td>Brightdog</td>\n",
       "      <td>Environmental Tech</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>242</th>\n",
       "      <td>677</td>\n",
       "      <td>3</td>\n",
       "      <td>677</td>\n",
       "      <td>Richard</td>\n",
       "      <td>Martin</td>\n",
       "      <td>Male</td>\n",
       "      <td>Gabtype</td>\n",
       "      <td>Analog Circuit Design manager</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>243</th>\n",
       "      <td>276</td>\n",
       "      <td>4</td>\n",
       "      <td>276</td>\n",
       "      <td>Kimberly</td>\n",
       "      <td>Olson</td>\n",
       "      <td>Female</td>\n",
       "      <td>Voonyx</td>\n",
       "      <td>Occupational Therapist</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>244</th>\n",
       "      <td>45</td>\n",
       "      <td>8</td>\n",
       "      <td>45</td>\n",
       "      <td>Earl</td>\n",
       "      <td>Marshall</td>\n",
       "      <td>Male</td>\n",
       "      <td>Agivu</td>\n",
       "      <td>Dental Hygienist</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>245</th>\n",
       "      <td>945</td>\n",
       "      <td>4</td>\n",
       "      <td>945</td>\n",
       "      <td>Anne</td>\n",
       "      <td>Reed</td>\n",
       "      <td>Female</td>\n",
       "      <td>Twitterworks</td>\n",
       "      <td>Director of Sales</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>246</th>\n",
       "      <td>783</td>\n",
       "      <td>10</td>\n",
       "      <td>783</td>\n",
       "      <td>Phyllis</td>\n",
       "      <td>Meyer</td>\n",
       "      <td>Female</td>\n",
       "      <td>Voolia</td>\n",
       "      <td>Information Systems Manager</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>247</th>\n",
       "      <td>556</td>\n",
       "      <td>10</td>\n",
       "      <td>556</td>\n",
       "      <td>Samuel</td>\n",
       "      <td>Bailey</td>\n",
       "      <td>Male</td>\n",
       "      <td>Oyoloo</td>\n",
       "      <td>Nurse</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>248</th>\n",
       "      <td>252</td>\n",
       "      <td>9</td>\n",
       "      <td>252</td>\n",
       "      <td>Douglas</td>\n",
       "      <td>Powell</td>\n",
       "      <td>Male</td>\n",
       "      <td>Jetwire</td>\n",
       "      <td>Geologist IV</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>249</th>\n",
       "      <td>249</td>\n",
       "      <td>6</td>\n",
       "      <td>249</td>\n",
       "      <td>Anthony</td>\n",
       "      <td>Carpenter</td>\n",
       "      <td>Male</td>\n",
       "      <td>Shuffletag</td>\n",
       "      <td>Health Coach I</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>250 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Customer ID  Food ID   ID   First Name   Last Name  Gender       Company  \\\n",
       "0            688       10  688         Carl  Williamson    Male    Thoughtmix   \n",
       "1            813        7  813       Johnny      Walker    Male        Kayveo   \n",
       "2            495       10  495      Deborah      Little  Female    Babbleblab   \n",
       "3            495        6  495      Deborah      Little  Female    Babbleblab   \n",
       "4            495        2  495      Deborah      Little  Female    Babbleblab   \n",
       "5            495        2  495      Deborah      Little  Female    Babbleblab   \n",
       "6            189        5  189        Roger      Gordon    Male       Skilith   \n",
       "7            267        3  267      Matthew        Wood    Male        Agimba   \n",
       "8            310        5  310        Bobby        Sims    Male     Skynoodle   \n",
       "9            761        2  761    Stephanie       Olson  Female     Rhynoodle   \n",
       "10           761        3  761    Stephanie       Olson  Female     Rhynoodle   \n",
       "11           443        5  443       Robert    Thompson    Male          Oozz   \n",
       "12           729        9  729        Roger    Lawrence    Male        Wikizz   \n",
       "13           741        8  741        Diana       Welch  Female          Eayo   \n",
       "14           847        6  847        Irene       Owens  Female         Yabox   \n",
       "15           156       10  156    Stephanie       Kelly  Female       Youopia   \n",
       "16           550        7  550       Walter      Miller    Male          Yata   \n",
       "17           620       10  620         Anne        Hill  Female      Dabshots   \n",
       "18           272        4  272   Jacqueline       Olson  Female     Gigashots   \n",
       "19           511        2  511      Phyllis      Morgan  Female        Eimbee   \n",
       "20             8        6    8      Frances       Adams  Female      Dabshots   \n",
       "21           534        7  534         Carl      Butler    Male         Npath   \n",
       "22           909        6  909       Cheryl       Davis  Female       Edgeify   \n",
       "23           732        9  732       Daniel       Grant    Male      Riffpath   \n",
       "24           372        4  372        Steve    Robinson    Male    Zoomlounge   \n",
       "25           713        1  713      Kenneth     Schmidt    Male        Skyble   \n",
       "26           496        3  496        Brian      Murray    Male         Abatz   \n",
       "27           496        8  496        Brian      Murray    Male         Abatz   \n",
       "28           381        9  381      Charles      Torres    Male         Tazzy   \n",
       "29            13        2   13         Ruth     Alvarez  Female   Twitterlist   \n",
       "..           ...      ...  ...          ...         ...     ...           ...   \n",
       "220          131        1  131     Margaret      Porter  Female         Eazzy   \n",
       "221          520        7  520      Melissa     Wallace  Female         Skyvu   \n",
       "222          208        4  208       Bonnie        Rice  Female         Eamia   \n",
       "223          145        5  145        Doris      Wagner  Female    Browsezoom   \n",
       "224          794        6  794        Bobby    Peterson    Male      Fivespan   \n",
       "225          734       10  734        Robin      Thomas  Female          Izio   \n",
       "226          734        1  734        Robin      Thomas  Female          Izio   \n",
       "227          540        3  540      Jessica       Hicks  Female       Cogibox   \n",
       "228          735        2  735       Eugene     Elliott    Male        Meedoo   \n",
       "229          940        8  940       Bonnie      Bowman  Female        Avavee   \n",
       "230          571        7  571        David     Collins    Male         Midel   \n",
       "231          888        2  888        Jimmy      Wright    Male         Npath   \n",
       "232          664        6  664        Donna      Butler  Female         Miboo   \n",
       "233          143        4  143  Christopher        Long    Male        Mybuzz   \n",
       "234          505        3  505      Douglas     Edwards    Male  Jabbersphere   \n",
       "235           54        8   54       Amanda       Berry  Female       Jaxspan   \n",
       "236          367        8  367      Mildred        Carr  Female    Jabberbean   \n",
       "237          883        8  883        Sarah         Kim  Female    Topicshots   \n",
       "238          251        9  251       Joseph    Anderson    Male         Quinu   \n",
       "239          855        4  855      Mildred      Watson  Female         Yodel   \n",
       "240          233        3  233        Robin       Lopez  Female     Wordpedia   \n",
       "241          559       10  559      Jeffrey       Henry    Male     Brightdog   \n",
       "242          677        3  677      Richard      Martin    Male       Gabtype   \n",
       "243          276        4  276     Kimberly       Olson  Female        Voonyx   \n",
       "244           45        8   45         Earl    Marshall    Male         Agivu   \n",
       "245          945        4  945         Anne        Reed  Female  Twitterworks   \n",
       "246          783       10  783      Phyllis       Meyer  Female        Voolia   \n",
       "247          556       10  556       Samuel      Bailey    Male        Oyoloo   \n",
       "248          252        9  252      Douglas      Powell    Male       Jetwire   \n",
       "249          249        6  249      Anthony   Carpenter    Male    Shuffletag   \n",
       "\n",
       "                         Occupation  \n",
       "0                  Graphic Designer  \n",
       "1                      Developer II  \n",
       "2                     VP Accounting  \n",
       "3                     VP Accounting  \n",
       "4                     VP Accounting  \n",
       "5                     VP Accounting  \n",
       "6                          Operator  \n",
       "7                  Product Engineer  \n",
       "8                 Marketing Manager  \n",
       "9                  Web Developer IV  \n",
       "10                 Web Developer IV  \n",
       "11                          Teacher  \n",
       "12                   Web Designer I  \n",
       "13           Occupational Therapist  \n",
       "14                    Accountant II  \n",
       "15        Automation Specialist III  \n",
       "16   Payment Adjustment Coordinator  \n",
       "17                        Recruiter  \n",
       "18                Director of Sales  \n",
       "19         Environmental Specialist  \n",
       "20                    Developer III  \n",
       "21               Office Assistant I  \n",
       "22                  Health Coach IV  \n",
       "23               Nurse Practicioner  \n",
       "24                 Dental Hygienist  \n",
       "25                Financial Analyst  \n",
       "26           Senior Sales Associate  \n",
       "27           Senior Sales Associate  \n",
       "28                     Food Chemist  \n",
       "29      Mechanical Systems Engineer  \n",
       "..                              ...  \n",
       "220                 Sales Associate  \n",
       "221          Administrative Officer  \n",
       "222                 Cost Accountant  \n",
       "223                Graphic Designer  \n",
       "224               Financial Analyst  \n",
       "225             Account Coordinator  \n",
       "226             Account Coordinator  \n",
       "227    Structural Analysis Engineer  \n",
       "228                    VP Marketing  \n",
       "229                Internal Auditor  \n",
       "230             Assistant Professor  \n",
       "231   Analog Circuit Design manager  \n",
       "232   Community Outreach Specialist  \n",
       "233        Accounting Assistant III  \n",
       "234              Recruiting Manager  \n",
       "235       Automation Specialist III  \n",
       "236               Account Executive  \n",
       "237                 Cost Accountant  \n",
       "238          Administrative Officer  \n",
       "239                Product Engineer  \n",
       "240                          Editor  \n",
       "241              Environmental Tech  \n",
       "242   Analog Circuit Design manager  \n",
       "243          Occupational Therapist  \n",
       "244                Dental Hygienist  \n",
       "245               Director of Sales  \n",
       "246     Information Systems Manager  \n",
       "247                           Nurse  \n",
       "248                    Geologist IV  \n",
       "249                  Health Coach I  \n",
       "\n",
       "[250 rows x 8 columns]"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "week2.merge(customers, left_on=\"Customer ID\", right_on=\"ID\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "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>Customer ID</th>\n",
       "      <th>Food ID</th>\n",
       "      <th>First Name</th>\n",
       "      <th>Last Name</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Company</th>\n",
       "      <th>Occupation</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>8</td>\n",
       "      <td>6</td>\n",
       "      <td>Frances</td>\n",
       "      <td>Adams</td>\n",
       "      <td>Female</td>\n",
       "      <td>Dabshots</td>\n",
       "      <td>Developer III</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>13</td>\n",
       "      <td>2</td>\n",
       "      <td>Ruth</td>\n",
       "      <td>Alvarez</td>\n",
       "      <td>Female</td>\n",
       "      <td>Twitterlist</td>\n",
       "      <td>Mechanical Systems Engineer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>21</td>\n",
       "      <td>4</td>\n",
       "      <td>Albert</td>\n",
       "      <td>Burns</td>\n",
       "      <td>Male</td>\n",
       "      <td>Rhynoodle</td>\n",
       "      <td>Junior Executive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>24</td>\n",
       "      <td>8</td>\n",
       "      <td>Donna</td>\n",
       "      <td>Thomas</td>\n",
       "      <td>Female</td>\n",
       "      <td>Jaxbean</td>\n",
       "      <td>Chief Design Engineer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>27</td>\n",
       "      <td>4</td>\n",
       "      <td>Jessica</td>\n",
       "      <td>Bennett</td>\n",
       "      <td>Female</td>\n",
       "      <td>Twitternation</td>\n",
       "      <td>Account Executive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>30</td>\n",
       "      <td>4</td>\n",
       "      <td>Pamela</td>\n",
       "      <td>Hicks</td>\n",
       "      <td>Female</td>\n",
       "      <td>Ntags</td>\n",
       "      <td>Cost Accountant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>35</td>\n",
       "      <td>8</td>\n",
       "      <td>Nicole</td>\n",
       "      <td>Chapman</td>\n",
       "      <td>Female</td>\n",
       "      <td>Pixonyx</td>\n",
       "      <td>Electrical Engineer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>39</td>\n",
       "      <td>10</td>\n",
       "      <td>Teresa</td>\n",
       "      <td>Harrison</td>\n",
       "      <td>Female</td>\n",
       "      <td>Oba</td>\n",
       "      <td>Payment Adjustment Coordinator</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>45</td>\n",
       "      <td>8</td>\n",
       "      <td>Earl</td>\n",
       "      <td>Marshall</td>\n",
       "      <td>Male</td>\n",
       "      <td>Agivu</td>\n",
       "      <td>Dental Hygienist</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>46</td>\n",
       "      <td>6</td>\n",
       "      <td>Adam</td>\n",
       "      <td>Cole</td>\n",
       "      <td>Male</td>\n",
       "      <td>Trupe</td>\n",
       "      <td>Accountant III</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>54</td>\n",
       "      <td>8</td>\n",
       "      <td>Amanda</td>\n",
       "      <td>Berry</td>\n",
       "      <td>Female</td>\n",
       "      <td>Jaxspan</td>\n",
       "      <td>Automation Specialist III</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>55</td>\n",
       "      <td>9</td>\n",
       "      <td>Ralph</td>\n",
       "      <td>Ford</td>\n",
       "      <td>Male</td>\n",
       "      <td>Browsezoom</td>\n",
       "      <td>Safety Technician IV</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>55</td>\n",
       "      <td>4</td>\n",
       "      <td>Ralph</td>\n",
       "      <td>Ford</td>\n",
       "      <td>Male</td>\n",
       "      <td>Browsezoom</td>\n",
       "      <td>Safety Technician IV</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>56</td>\n",
       "      <td>3</td>\n",
       "      <td>Anne</td>\n",
       "      <td>Berry</td>\n",
       "      <td>Female</td>\n",
       "      <td>Twinder</td>\n",
       "      <td>VP Sales</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>70</td>\n",
       "      <td>2</td>\n",
       "      <td>Michelle</td>\n",
       "      <td>Bowman</td>\n",
       "      <td>Female</td>\n",
       "      <td>Gabvine</td>\n",
       "      <td>VP Marketing</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>73</td>\n",
       "      <td>8</td>\n",
       "      <td>Kenneth</td>\n",
       "      <td>Miller</td>\n",
       "      <td>Male</td>\n",
       "      <td>Vimbo</td>\n",
       "      <td>Senior Editor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>75</td>\n",
       "      <td>4</td>\n",
       "      <td>Catherine</td>\n",
       "      <td>Carpenter</td>\n",
       "      <td>Female</td>\n",
       "      <td>Zoozzy</td>\n",
       "      <td>Marketing Manager</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>77</td>\n",
       "      <td>7</td>\n",
       "      <td>Lori</td>\n",
       "      <td>Edwards</td>\n",
       "      <td>Female</td>\n",
       "      <td>Dabvine</td>\n",
       "      <td>Sales Representative</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>80</td>\n",
       "      <td>4</td>\n",
       "      <td>George</td>\n",
       "      <td>Mason</td>\n",
       "      <td>Male</td>\n",
       "      <td>Jaxworks</td>\n",
       "      <td>Engineer I</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>81</td>\n",
       "      <td>10</td>\n",
       "      <td>Mildred</td>\n",
       "      <td>Fowler</td>\n",
       "      <td>Female</td>\n",
       "      <td>Fivechat</td>\n",
       "      <td>Operator</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>98</td>\n",
       "      <td>5</td>\n",
       "      <td>Jean</td>\n",
       "      <td>Mills</td>\n",
       "      <td>Female</td>\n",
       "      <td>Fivebridge</td>\n",
       "      <td>Product Engineer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>101</td>\n",
       "      <td>4</td>\n",
       "      <td>Jeremy</td>\n",
       "      <td>Nelson</td>\n",
       "      <td>Male</td>\n",
       "      <td>Brainlounge</td>\n",
       "      <td>Web Developer IV</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>111</td>\n",
       "      <td>3</td>\n",
       "      <td>Patrick</td>\n",
       "      <td>Morrison</td>\n",
       "      <td>Male</td>\n",
       "      <td>Eimbee</td>\n",
       "      <td>Mechanical Systems Engineer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>122</td>\n",
       "      <td>2</td>\n",
       "      <td>Martin</td>\n",
       "      <td>Hawkins</td>\n",
       "      <td>Male</td>\n",
       "      <td>Centizu</td>\n",
       "      <td>Assistant Manager</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>122</td>\n",
       "      <td>10</td>\n",
       "      <td>Martin</td>\n",
       "      <td>Hawkins</td>\n",
       "      <td>Male</td>\n",
       "      <td>Centizu</td>\n",
       "      <td>Assistant Manager</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>127</td>\n",
       "      <td>1</td>\n",
       "      <td>Jesse</td>\n",
       "      <td>Henderson</td>\n",
       "      <td>Male</td>\n",
       "      <td>Eabox</td>\n",
       "      <td>Environmental Tech</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>131</td>\n",
       "      <td>1</td>\n",
       "      <td>Margaret</td>\n",
       "      <td>Porter</td>\n",
       "      <td>Female</td>\n",
       "      <td>Eazzy</td>\n",
       "      <td>Sales Associate</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>132</td>\n",
       "      <td>8</td>\n",
       "      <td>Judith</td>\n",
       "      <td>Perez</td>\n",
       "      <td>Female</td>\n",
       "      <td>Jaxworks</td>\n",
       "      <td>Structural Engineer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>136</td>\n",
       "      <td>1</td>\n",
       "      <td>Clarence</td>\n",
       "      <td>Fox</td>\n",
       "      <td>Male</td>\n",
       "      <td>Devshare</td>\n",
       "      <td>Graphic Designer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>143</td>\n",
       "      <td>4</td>\n",
       "      <td>Christopher</td>\n",
       "      <td>Long</td>\n",
       "      <td>Male</td>\n",
       "      <td>Mybuzz</td>\n",
       "      <td>Accounting Assistant III</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>220</th>\n",
       "      <td>869</td>\n",
       "      <td>7</td>\n",
       "      <td>Paul</td>\n",
       "      <td>Carpenter</td>\n",
       "      <td>Male</td>\n",
       "      <td>Feedfire</td>\n",
       "      <td>Project Manager</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>221</th>\n",
       "      <td>877</td>\n",
       "      <td>10</td>\n",
       "      <td>Harry</td>\n",
       "      <td>Watkins</td>\n",
       "      <td>Male</td>\n",
       "      <td>Zoomdog</td>\n",
       "      <td>Computer Systems Analyst IV</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>222</th>\n",
       "      <td>883</td>\n",
       "      <td>8</td>\n",
       "      <td>Sarah</td>\n",
       "      <td>Kim</td>\n",
       "      <td>Female</td>\n",
       "      <td>Topicshots</td>\n",
       "      <td>Cost Accountant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>223</th>\n",
       "      <td>884</td>\n",
       "      <td>7</td>\n",
       "      <td>Christine</td>\n",
       "      <td>Weaver</td>\n",
       "      <td>Female</td>\n",
       "      <td>Meevee</td>\n",
       "      <td>Data Coordiator</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>224</th>\n",
       "      <td>888</td>\n",
       "      <td>2</td>\n",
       "      <td>Jimmy</td>\n",
       "      <td>Wright</td>\n",
       "      <td>Male</td>\n",
       "      <td>Npath</td>\n",
       "      <td>Analog Circuit Design manager</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>225</th>\n",
       "      <td>893</td>\n",
       "      <td>3</td>\n",
       "      <td>Adam</td>\n",
       "      <td>Lynch</td>\n",
       "      <td>Male</td>\n",
       "      <td>Jaloo</td>\n",
       "      <td>Programmer IV</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>226</th>\n",
       "      <td>905</td>\n",
       "      <td>1</td>\n",
       "      <td>Richard</td>\n",
       "      <td>Fernandez</td>\n",
       "      <td>Male</td>\n",
       "      <td>Shuffletag</td>\n",
       "      <td>Librarian</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227</th>\n",
       "      <td>909</td>\n",
       "      <td>6</td>\n",
       "      <td>Cheryl</td>\n",
       "      <td>Davis</td>\n",
       "      <td>Female</td>\n",
       "      <td>Edgeify</td>\n",
       "      <td>Health Coach IV</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>228</th>\n",
       "      <td>913</td>\n",
       "      <td>2</td>\n",
       "      <td>Ryan</td>\n",
       "      <td>Simmons</td>\n",
       "      <td>Male</td>\n",
       "      <td>Eabox</td>\n",
       "      <td>Senior Financial Analyst</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>229</th>\n",
       "      <td>919</td>\n",
       "      <td>8</td>\n",
       "      <td>Ronald</td>\n",
       "      <td>Welch</td>\n",
       "      <td>Male</td>\n",
       "      <td>Avamba</td>\n",
       "      <td>Help Desk Technician</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>230</th>\n",
       "      <td>922</td>\n",
       "      <td>1</td>\n",
       "      <td>Willie</td>\n",
       "      <td>Payne</td>\n",
       "      <td>Male</td>\n",
       "      <td>Devify</td>\n",
       "      <td>Assistant Media Planner</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>231</th>\n",
       "      <td>922</td>\n",
       "      <td>2</td>\n",
       "      <td>Willie</td>\n",
       "      <td>Payne</td>\n",
       "      <td>Male</td>\n",
       "      <td>Devify</td>\n",
       "      <td>Assistant Media Planner</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>232</th>\n",
       "      <td>927</td>\n",
       "      <td>4</td>\n",
       "      <td>Nicholas</td>\n",
       "      <td>Morris</td>\n",
       "      <td>Male</td>\n",
       "      <td>Linkbridge</td>\n",
       "      <td>Assistant Professor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>233</th>\n",
       "      <td>928</td>\n",
       "      <td>10</td>\n",
       "      <td>Michael</td>\n",
       "      <td>Lopez</td>\n",
       "      <td>Male</td>\n",
       "      <td>Ailane</td>\n",
       "      <td>Nuclear Power Engineer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>234</th>\n",
       "      <td>936</td>\n",
       "      <td>9</td>\n",
       "      <td>Matthew</td>\n",
       "      <td>Wagner</td>\n",
       "      <td>Male</td>\n",
       "      <td>Feedspan</td>\n",
       "      <td>Civil Engineer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>235</th>\n",
       "      <td>937</td>\n",
       "      <td>10</td>\n",
       "      <td>Sharon</td>\n",
       "      <td>Mcdonald</td>\n",
       "      <td>Female</td>\n",
       "      <td>Eimbee</td>\n",
       "      <td>Recruiting Manager</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>236</th>\n",
       "      <td>937</td>\n",
       "      <td>2</td>\n",
       "      <td>Sharon</td>\n",
       "      <td>Mcdonald</td>\n",
       "      <td>Female</td>\n",
       "      <td>Eimbee</td>\n",
       "      <td>Recruiting Manager</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>237</th>\n",
       "      <td>938</td>\n",
       "      <td>10</td>\n",
       "      <td>Steven</td>\n",
       "      <td>Reyes</td>\n",
       "      <td>Male</td>\n",
       "      <td>Jaxnation</td>\n",
       "      <td>Technical Writer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>238</th>\n",
       "      <td>940</td>\n",
       "      <td>8</td>\n",
       "      <td>Bonnie</td>\n",
       "      <td>Bowman</td>\n",
       "      <td>Female</td>\n",
       "      <td>Avavee</td>\n",
       "      <td>Internal Auditor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>942</td>\n",
       "      <td>3</td>\n",
       "      <td>Deborah</td>\n",
       "      <td>Morgan</td>\n",
       "      <td>Female</td>\n",
       "      <td>Browsebug</td>\n",
       "      <td>Tax Accountant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240</th>\n",
       "      <td>945</td>\n",
       "      <td>4</td>\n",
       "      <td>Anne</td>\n",
       "      <td>Reed</td>\n",
       "      <td>Female</td>\n",
       "      <td>Twitterworks</td>\n",
       "      <td>Director of Sales</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241</th>\n",
       "      <td>951</td>\n",
       "      <td>5</td>\n",
       "      <td>Angela</td>\n",
       "      <td>Sanders</td>\n",
       "      <td>Female</td>\n",
       "      <td>Dabtype</td>\n",
       "      <td>Research Assistant IV</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>242</th>\n",
       "      <td>957</td>\n",
       "      <td>10</td>\n",
       "      <td>Shawn</td>\n",
       "      <td>George</td>\n",
       "      <td>Male</td>\n",
       "      <td>Browseblab</td>\n",
       "      <td>GIS Technical Architect</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>243</th>\n",
       "      <td>959</td>\n",
       "      <td>4</td>\n",
       "      <td>Laura</td>\n",
       "      <td>Ferguson</td>\n",
       "      <td>Female</td>\n",
       "      <td>Pixonyx</td>\n",
       "      <td>Electrical Engineer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>244</th>\n",
       "      <td>959</td>\n",
       "      <td>2</td>\n",
       "      <td>Laura</td>\n",
       "      <td>Ferguson</td>\n",
       "      <td>Female</td>\n",
       "      <td>Pixonyx</td>\n",
       "      <td>Electrical Engineer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>245</th>\n",
       "      <td>968</td>\n",
       "      <td>4</td>\n",
       "      <td>Teresa</td>\n",
       "      <td>Reynolds</td>\n",
       "      <td>Female</td>\n",
       "      <td>Flashdog</td>\n",
       "      <td>Budget/Accounting Analyst IV</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>246</th>\n",
       "      <td>969</td>\n",
       "      <td>3</td>\n",
       "      <td>Marie</td>\n",
       "      <td>Ortiz</td>\n",
       "      <td>Female</td>\n",
       "      <td>Meejo</td>\n",
       "      <td>Research Associate</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>247</th>\n",
       "      <td>977</td>\n",
       "      <td>7</td>\n",
       "      <td>Cynthia</td>\n",
       "      <td>Dixon</td>\n",
       "      <td>Female</td>\n",
       "      <td>Skalith</td>\n",
       "      <td>Automation Specialist II</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>248</th>\n",
       "      <td>994</td>\n",
       "      <td>2</td>\n",
       "      <td>Clarence</td>\n",
       "      <td>Morgan</td>\n",
       "      <td>Male</td>\n",
       "      <td>Edgewire</td>\n",
       "      <td>Geologist II</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>249</th>\n",
       "      <td>996</td>\n",
       "      <td>10</td>\n",
       "      <td>Debra</td>\n",
       "      <td>Garcia</td>\n",
       "      <td>Female</td>\n",
       "      <td>Dazzlesphere</td>\n",
       "      <td>Structural Engineer</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>250 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Customer ID  Food ID   First Name  Last Name  Gender        Company  \\\n",
       "0              8        6      Frances      Adams  Female       Dabshots   \n",
       "1             13        2         Ruth    Alvarez  Female    Twitterlist   \n",
       "2             21        4       Albert      Burns    Male      Rhynoodle   \n",
       "3             24        8        Donna     Thomas  Female        Jaxbean   \n",
       "4             27        4      Jessica    Bennett  Female  Twitternation   \n",
       "5             30        4       Pamela      Hicks  Female          Ntags   \n",
       "6             35        8       Nicole    Chapman  Female        Pixonyx   \n",
       "7             39       10       Teresa   Harrison  Female            Oba   \n",
       "8             45        8         Earl   Marshall    Male          Agivu   \n",
       "9             46        6         Adam       Cole    Male          Trupe   \n",
       "10            54        8       Amanda      Berry  Female        Jaxspan   \n",
       "11            55        9        Ralph       Ford    Male     Browsezoom   \n",
       "12            55        4        Ralph       Ford    Male     Browsezoom   \n",
       "13            56        3         Anne      Berry  Female        Twinder   \n",
       "14            70        2     Michelle     Bowman  Female        Gabvine   \n",
       "15            73        8      Kenneth     Miller    Male          Vimbo   \n",
       "16            75        4    Catherine  Carpenter  Female         Zoozzy   \n",
       "17            77        7         Lori    Edwards  Female        Dabvine   \n",
       "18            80        4       George      Mason    Male       Jaxworks   \n",
       "19            81       10      Mildred     Fowler  Female       Fivechat   \n",
       "20            98        5         Jean      Mills  Female     Fivebridge   \n",
       "21           101        4       Jeremy     Nelson    Male    Brainlounge   \n",
       "22           111        3      Patrick   Morrison    Male         Eimbee   \n",
       "23           122        2       Martin    Hawkins    Male        Centizu   \n",
       "24           122       10       Martin    Hawkins    Male        Centizu   \n",
       "25           127        1        Jesse  Henderson    Male          Eabox   \n",
       "26           131        1     Margaret     Porter  Female          Eazzy   \n",
       "27           132        8       Judith      Perez  Female       Jaxworks   \n",
       "28           136        1     Clarence        Fox    Male       Devshare   \n",
       "29           143        4  Christopher       Long    Male         Mybuzz   \n",
       "..           ...      ...          ...        ...     ...            ...   \n",
       "220          869        7         Paul  Carpenter    Male       Feedfire   \n",
       "221          877       10        Harry    Watkins    Male        Zoomdog   \n",
       "222          883        8        Sarah        Kim  Female     Topicshots   \n",
       "223          884        7    Christine     Weaver  Female         Meevee   \n",
       "224          888        2        Jimmy     Wright    Male          Npath   \n",
       "225          893        3         Adam      Lynch    Male          Jaloo   \n",
       "226          905        1      Richard  Fernandez    Male     Shuffletag   \n",
       "227          909        6       Cheryl      Davis  Female        Edgeify   \n",
       "228          913        2         Ryan    Simmons    Male          Eabox   \n",
       "229          919        8       Ronald      Welch    Male         Avamba   \n",
       "230          922        1       Willie      Payne    Male         Devify   \n",
       "231          922        2       Willie      Payne    Male         Devify   \n",
       "232          927        4     Nicholas     Morris    Male     Linkbridge   \n",
       "233          928       10      Michael      Lopez    Male         Ailane   \n",
       "234          936        9      Matthew     Wagner    Male       Feedspan   \n",
       "235          937       10       Sharon   Mcdonald  Female         Eimbee   \n",
       "236          937        2       Sharon   Mcdonald  Female         Eimbee   \n",
       "237          938       10       Steven      Reyes    Male      Jaxnation   \n",
       "238          940        8       Bonnie     Bowman  Female         Avavee   \n",
       "239          942        3      Deborah     Morgan  Female      Browsebug   \n",
       "240          945        4         Anne       Reed  Female   Twitterworks   \n",
       "241          951        5       Angela    Sanders  Female        Dabtype   \n",
       "242          957       10        Shawn     George    Male     Browseblab   \n",
       "243          959        4        Laura   Ferguson  Female        Pixonyx   \n",
       "244          959        2        Laura   Ferguson  Female        Pixonyx   \n",
       "245          968        4       Teresa   Reynolds  Female       Flashdog   \n",
       "246          969        3        Marie      Ortiz  Female          Meejo   \n",
       "247          977        7      Cynthia      Dixon  Female        Skalith   \n",
       "248          994        2     Clarence     Morgan    Male       Edgewire   \n",
       "249          996       10        Debra     Garcia  Female   Dazzlesphere   \n",
       "\n",
       "                         Occupation  \n",
       "0                     Developer III  \n",
       "1       Mechanical Systems Engineer  \n",
       "2                  Junior Executive  \n",
       "3             Chief Design Engineer  \n",
       "4                 Account Executive  \n",
       "5                   Cost Accountant  \n",
       "6               Electrical Engineer  \n",
       "7    Payment Adjustment Coordinator  \n",
       "8                  Dental Hygienist  \n",
       "9                    Accountant III  \n",
       "10        Automation Specialist III  \n",
       "11             Safety Technician IV  \n",
       "12             Safety Technician IV  \n",
       "13                         VP Sales  \n",
       "14                     VP Marketing  \n",
       "15                    Senior Editor  \n",
       "16                Marketing Manager  \n",
       "17             Sales Representative  \n",
       "18                       Engineer I  \n",
       "19                         Operator  \n",
       "20                 Product Engineer  \n",
       "21                 Web Developer IV  \n",
       "22      Mechanical Systems Engineer  \n",
       "23                Assistant Manager  \n",
       "24                Assistant Manager  \n",
       "25               Environmental Tech  \n",
       "26                  Sales Associate  \n",
       "27              Structural Engineer  \n",
       "28                 Graphic Designer  \n",
       "29         Accounting Assistant III  \n",
       "..                              ...  \n",
       "220                 Project Manager  \n",
       "221     Computer Systems Analyst IV  \n",
       "222                 Cost Accountant  \n",
       "223                 Data Coordiator  \n",
       "224   Analog Circuit Design manager  \n",
       "225                   Programmer IV  \n",
       "226                       Librarian  \n",
       "227                 Health Coach IV  \n",
       "228        Senior Financial Analyst  \n",
       "229            Help Desk Technician  \n",
       "230         Assistant Media Planner  \n",
       "231         Assistant Media Planner  \n",
       "232             Assistant Professor  \n",
       "233          Nuclear Power Engineer  \n",
       "234                  Civil Engineer  \n",
       "235              Recruiting Manager  \n",
       "236              Recruiting Manager  \n",
       "237                Technical Writer  \n",
       "238                Internal Auditor  \n",
       "239                  Tax Accountant  \n",
       "240               Director of Sales  \n",
       "241           Research Assistant IV  \n",
       "242         GIS Technical Architect  \n",
       "243             Electrical Engineer  \n",
       "244             Electrical Engineer  \n",
       "245    Budget/Accounting Analyst IV  \n",
       "246              Research Associate  \n",
       "247        Automation Specialist II  \n",
       "248                    Geologist II  \n",
       "249             Structural Engineer  \n",
       "\n",
       "[250 rows x 7 columns]"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "week2.merge(customers, left_on=\"Customer ID\", right_on=\"ID\", sort = True).drop(\"ID\",axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [],
   "source": [
    "week2 = week2.merge(customers, left_on=\"Customer ID\", right_on=\"ID\", sort = True).drop(\"ID\",axis=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Merging by indexes by left_index and right_index parameter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [],
   "source": [
    "week1 = pd.read_csv('Restaurant - Week 1 Sales.csv')\n",
    "week2 = pd.read_csv('Restaurant - Week 2 Sales.csv')\n",
    "customers = pd.read_csv('Restaurant - Customers.csv', index_col=\"ID\")\n",
    "foods = pd.read_csv('Restaurant - Foods.csv',index_col= \"Food ID\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "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>Food Item</th>\n",
       "      <th>Price</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Food ID</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Sushi</td>\n",
       "      <td>3.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Burrito</td>\n",
       "      <td>9.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Taco</td>\n",
       "      <td>2.99</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Food Item  Price\n",
       "Food ID                 \n",
       "1           Sushi   3.99\n",
       "2         Burrito   9.99\n",
       "3            Taco   2.99"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "foods.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "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>First Name</th>\n",
       "      <th>Last Name</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Company</th>\n",
       "      <th>Occupation</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ID</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>1</th>\n",
       "      <td>Joseph</td>\n",
       "      <td>Perkins</td>\n",
       "      <td>Male</td>\n",
       "      <td>Dynazzy</td>\n",
       "      <td>Community Outreach Specialist</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Jennifer</td>\n",
       "      <td>Alvarez</td>\n",
       "      <td>Female</td>\n",
       "      <td>DabZ</td>\n",
       "      <td>Senior Quality Engineer</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   First Name Last Name  Gender  Company                     Occupation\n",
       "ID                                                                     \n",
       "1      Joseph   Perkins    Male  Dynazzy  Community Outreach Specialist\n",
       "2    Jennifer   Alvarez  Female     DabZ        Senior Quality Engineer"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "customers.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "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>Customer ID</th>\n",
       "      <th>Food ID</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>537</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>97</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>658</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>202</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>155</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Customer ID  Food ID\n",
       "0          537        9\n",
       "1           97        4\n",
       "2          658        1\n",
       "3          202        2\n",
       "4          155        9"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "week1.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "<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",
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       "    .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>Customer ID</th>\n",
       "      <th>Food ID</th>\n",
       "      <th>First Name</th>\n",
       "      <th>Last Name</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Company</th>\n",
       "      <th>Occupation</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>537</td>\n",
       "      <td>9</td>\n",
       "      <td>Cheryl</td>\n",
       "      <td>Carroll</td>\n",
       "      <td>Female</td>\n",
       "      <td>Zoombeat</td>\n",
       "      <td>Registered Nurse</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>97</td>\n",
       "      <td>4</td>\n",
       "      <td>Amanda</td>\n",
       "      <td>Watkins</td>\n",
       "      <td>Female</td>\n",
       "      <td>Ozu</td>\n",
       "      <td>Account Coordinator</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>658</td>\n",
       "      <td>1</td>\n",
       "      <td>Patrick</td>\n",
       "      <td>Webb</td>\n",
       "      <td>Male</td>\n",
       "      <td>Browsebug</td>\n",
       "      <td>Community Outreach Specialist</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>202</td>\n",
       "      <td>2</td>\n",
       "      <td>Louis</td>\n",
       "      <td>Campbell</td>\n",
       "      <td>Male</td>\n",
       "      <td>Rhynoodle</td>\n",
       "      <td>Account Representative III</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>155</td>\n",
       "      <td>9</td>\n",
       "      <td>Carolyn</td>\n",
       "      <td>Diaz</td>\n",
       "      <td>Female</td>\n",
       "      <td>Gigazoom</td>\n",
       "      <td>Database Administrator III</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>213</td>\n",
       "      <td>8</td>\n",
       "      <td>Keith</td>\n",
       "      <td>Foster</td>\n",
       "      <td>Male</td>\n",
       "      <td>Gigashots</td>\n",
       "      <td>VP Quality Control</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>600</td>\n",
       "      <td>1</td>\n",
       "      <td>Sandra</td>\n",
       "      <td>Bailey</td>\n",
       "      <td>Female</td>\n",
       "      <td>Jaxnation</td>\n",
       "      <td>Sales Associate</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>503</td>\n",
       "      <td>5</td>\n",
       "      <td>Justin</td>\n",
       "      <td>Daniels</td>\n",
       "      <td>Male</td>\n",
       "      <td>Oloo</td>\n",
       "      <td>Environmental Tech</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>71</td>\n",
       "      <td>3</td>\n",
       "      <td>Carolyn</td>\n",
       "      <td>Reyes</td>\n",
       "      <td>Female</td>\n",
       "      <td>Twimbo</td>\n",
       "      <td>Safety Technician IV</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>174</td>\n",
       "      <td>3</td>\n",
       "      <td>Anna</td>\n",
       "      <td>Miller</td>\n",
       "      <td>Female</td>\n",
       "      <td>Innojam</td>\n",
       "      <td>Developer I</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>961</td>\n",
       "      <td>9</td>\n",
       "      <td>Ralph</td>\n",
       "      <td>Richards</td>\n",
       "      <td>Male</td>\n",
       "      <td>Thoughtstorm</td>\n",
       "      <td>Accountant I</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>966</td>\n",
       "      <td>5</td>\n",
       "      <td>Robert</td>\n",
       "      <td>Ford</td>\n",
       "      <td>Male</td>\n",
       "      <td>Jabbertype</td>\n",
       "      <td>Account Representative IV</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>641</td>\n",
       "      <td>4</td>\n",
       "      <td>Donna</td>\n",
       "      <td>Gutierrez</td>\n",
       "      <td>Female</td>\n",
       "      <td>Dabtype</td>\n",
       "      <td>Assistant Professor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>288</td>\n",
       "      <td>2</td>\n",
       "      <td>Kenneth</td>\n",
       "      <td>Jackson</td>\n",
       "      <td>Male</td>\n",
       "      <td>Voomm</td>\n",
       "      <td>Associate Professor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>149</td>\n",
       "      <td>4</td>\n",
       "      <td>Jennifer</td>\n",
       "      <td>Oliver</td>\n",
       "      <td>Female</td>\n",
       "      <td>Topiclounge</td>\n",
       "      <td>Database Administrator III</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>954</td>\n",
       "      <td>2</td>\n",
       "      <td>Thomas</td>\n",
       "      <td>Perkins</td>\n",
       "      <td>Male</td>\n",
       "      <td>Roodel</td>\n",
       "      <td>Account Executive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>147</td>\n",
       "      <td>9</td>\n",
       "      <td>Theresa</td>\n",
       "      <td>Morales</td>\n",
       "      <td>Female</td>\n",
       "      <td>Abata</td>\n",
       "      <td>Occupational Therapist</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>155</td>\n",
       "      <td>1</td>\n",
       "      <td>Carolyn</td>\n",
       "      <td>Diaz</td>\n",
       "      <td>Female</td>\n",
       "      <td>Gigazoom</td>\n",
       "      <td>Database Administrator III</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>550</td>\n",
       "      <td>6</td>\n",
       "      <td>Walter</td>\n",
       "      <td>Miller</td>\n",
       "      <td>Male</td>\n",
       "      <td>Yata</td>\n",
       "      <td>Payment Adjustment Coordinator</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>101</td>\n",
       "      <td>7</td>\n",
       "      <td>Jeremy</td>\n",
       "      <td>Nelson</td>\n",
       "      <td>Male</td>\n",
       "      <td>Brainlounge</td>\n",
       "      <td>Web Developer IV</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>549</td>\n",
       "      <td>6</td>\n",
       "      <td>Harold</td>\n",
       "      <td>Rivera</td>\n",
       "      <td>Male</td>\n",
       "      <td>Topdrive</td>\n",
       "      <td>Cost Accountant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>75</td>\n",
       "      <td>6</td>\n",
       "      <td>Catherine</td>\n",
       "      <td>Carpenter</td>\n",
       "      <td>Female</td>\n",
       "      <td>Zoozzy</td>\n",
       "      <td>Marketing Manager</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>78</td>\n",
       "      <td>7</td>\n",
       "      <td>Robert</td>\n",
       "      <td>Kennedy</td>\n",
       "      <td>Male</td>\n",
       "      <td>Edgewire</td>\n",
       "      <td>Chemical Engineer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>514</td>\n",
       "      <td>5</td>\n",
       "      <td>Jack</td>\n",
       "      <td>Hill</td>\n",
       "      <td>Male</td>\n",
       "      <td>Blogtags</td>\n",
       "      <td>Assistant Professor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>833</td>\n",
       "      <td>7</td>\n",
       "      <td>Carolyn</td>\n",
       "      <td>Dunn</td>\n",
       "      <td>Female</td>\n",
       "      <td>Yadel</td>\n",
       "      <td>Recruiter</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>329</td>\n",
       "      <td>8</td>\n",
       "      <td>Amanda</td>\n",
       "      <td>Nguyen</td>\n",
       "      <td>Female</td>\n",
       "      <td>Meezzy</td>\n",
       "      <td>Associate Professor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>586</td>\n",
       "      <td>10</td>\n",
       "      <td>Doris</td>\n",
       "      <td>Mcdonald</td>\n",
       "      <td>Female</td>\n",
       "      <td>Youfeed</td>\n",
       "      <td>Marketing Assistant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>341</td>\n",
       "      <td>1</td>\n",
       "      <td>Rachel</td>\n",
       "      <td>Robinson</td>\n",
       "      <td>Female</td>\n",
       "      <td>Twinder</td>\n",
       "      <td>Safety Technician IV</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>519</td>\n",
       "      <td>10</td>\n",
       "      <td>Lillian</td>\n",
       "      <td>Rogers</td>\n",
       "      <td>Female</td>\n",
       "      <td>Eazzy</td>\n",
       "      <td>Paralegal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>680</td>\n",
       "      <td>9</td>\n",
       "      <td>Irene</td>\n",
       "      <td>Gordon</td>\n",
       "      <td>Female</td>\n",
       "      <td>Voolith</td>\n",
       "      <td>Database Administrator II</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>220</th>\n",
       "      <td>147</td>\n",
       "      <td>8</td>\n",
       "      <td>Theresa</td>\n",
       "      <td>Morales</td>\n",
       "      <td>Female</td>\n",
       "      <td>Abata</td>\n",
       "      <td>Occupational Therapist</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>221</th>\n",
       "      <td>745</td>\n",
       "      <td>4</td>\n",
       "      <td>Nicole</td>\n",
       "      <td>Garza</td>\n",
       "      <td>Female</td>\n",
       "      <td>Topiczoom</td>\n",
       "      <td>General Manager</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>222</th>\n",
       "      <td>184</td>\n",
       "      <td>3</td>\n",
       "      <td>Jesse</td>\n",
       "      <td>Edwards</td>\n",
       "      <td>Male</td>\n",
       "      <td>Zoombeat</td>\n",
       "      <td>Administrative Officer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>223</th>\n",
       "      <td>828</td>\n",
       "      <td>8</td>\n",
       "      <td>Mary</td>\n",
       "      <td>Payne</td>\n",
       "      <td>Female</td>\n",
       "      <td>Oyonder</td>\n",
       "      <td>Assistant Media Planner</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>224</th>\n",
       "      <td>578</td>\n",
       "      <td>5</td>\n",
       "      <td>Donald</td>\n",
       "      <td>Matthews</td>\n",
       "      <td>Male</td>\n",
       "      <td>Fiveclub</td>\n",
       "      <td>Physical Therapy Assistant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>225</th>\n",
       "      <td>491</td>\n",
       "      <td>4</td>\n",
       "      <td>Anna</td>\n",
       "      <td>Perkins</td>\n",
       "      <td>Female</td>\n",
       "      <td>Zazio</td>\n",
       "      <td>Quality Engineer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>226</th>\n",
       "      <td>62</td>\n",
       "      <td>4</td>\n",
       "      <td>Andrew</td>\n",
       "      <td>Tucker</td>\n",
       "      <td>Male</td>\n",
       "      <td>Leenti</td>\n",
       "      <td>Structural Analysis Engineer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227</th>\n",
       "      <td>77</td>\n",
       "      <td>9</td>\n",
       "      <td>Lori</td>\n",
       "      <td>Edwards</td>\n",
       "      <td>Female</td>\n",
       "      <td>Dabvine</td>\n",
       "      <td>Sales Representative</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>228</th>\n",
       "      <td>506</td>\n",
       "      <td>9</td>\n",
       "      <td>Mildred</td>\n",
       "      <td>Mendoza</td>\n",
       "      <td>Female</td>\n",
       "      <td>Vitz</td>\n",
       "      <td>Environmental Tech</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>229</th>\n",
       "      <td>271</td>\n",
       "      <td>9</td>\n",
       "      <td>Beverly</td>\n",
       "      <td>Ward</td>\n",
       "      <td>Female</td>\n",
       "      <td>Brainbox</td>\n",
       "      <td>Automation Specialist II</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>230</th>\n",
       "      <td>584</td>\n",
       "      <td>10</td>\n",
       "      <td>Jeffrey</td>\n",
       "      <td>Simmons</td>\n",
       "      <td>Male</td>\n",
       "      <td>Flipstorm</td>\n",
       "      <td>Chemical Engineer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>231</th>\n",
       "      <td>148</td>\n",
       "      <td>5</td>\n",
       "      <td>Patricia</td>\n",
       "      <td>Reid</td>\n",
       "      <td>Female</td>\n",
       "      <td>Shuffledrive</td>\n",
       "      <td>Analog Circuit Design manager</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>232</th>\n",
       "      <td>595</td>\n",
       "      <td>3</td>\n",
       "      <td>Bruce</td>\n",
       "      <td>Kennedy</td>\n",
       "      <td>Male</td>\n",
       "      <td>Mydo</td>\n",
       "      <td>Recruiter</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>233</th>\n",
       "      <td>274</td>\n",
       "      <td>10</td>\n",
       "      <td>Gary</td>\n",
       "      <td>Reid</td>\n",
       "      <td>Male</td>\n",
       "      <td>Fivespan</td>\n",
       "      <td>Executive Secretary</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>234</th>\n",
       "      <td>646</td>\n",
       "      <td>1</td>\n",
       "      <td>Wanda</td>\n",
       "      <td>Lane</td>\n",
       "      <td>Female</td>\n",
       "      <td>Twiyo</td>\n",
       "      <td>Help Desk Technician</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>235</th>\n",
       "      <td>520</td>\n",
       "      <td>8</td>\n",
       "      <td>Melissa</td>\n",
       "      <td>Wallace</td>\n",
       "      <td>Female</td>\n",
       "      <td>Skyvu</td>\n",
       "      <td>Administrative Officer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>236</th>\n",
       "      <td>644</td>\n",
       "      <td>8</td>\n",
       "      <td>Louis</td>\n",
       "      <td>Brooks</td>\n",
       "      <td>Male</td>\n",
       "      <td>Nlounge</td>\n",
       "      <td>VP Quality Control</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>237</th>\n",
       "      <td>725</td>\n",
       "      <td>8</td>\n",
       "      <td>Carol</td>\n",
       "      <td>Russell</td>\n",
       "      <td>Female</td>\n",
       "      <td>BlogXS</td>\n",
       "      <td>Pharmacist</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>238</th>\n",
       "      <td>934</td>\n",
       "      <td>4</td>\n",
       "      <td>Joseph</td>\n",
       "      <td>Burton</td>\n",
       "      <td>Male</td>\n",
       "      <td>Leexo</td>\n",
       "      <td>Compensation Analyst</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>151</td>\n",
       "      <td>10</td>\n",
       "      <td>Brandon</td>\n",
       "      <td>Oliver</td>\n",
       "      <td>Male</td>\n",
       "      <td>Voomm</td>\n",
       "      <td>Internal Auditor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240</th>\n",
       "      <td>945</td>\n",
       "      <td>5</td>\n",
       "      <td>Anne</td>\n",
       "      <td>Reed</td>\n",
       "      <td>Female</td>\n",
       "      <td>Twitterworks</td>\n",
       "      <td>Director of Sales</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241</th>\n",
       "      <td>343</td>\n",
       "      <td>3</td>\n",
       "      <td>Joe</td>\n",
       "      <td>Price</td>\n",
       "      <td>Male</td>\n",
       "      <td>Fanoodle</td>\n",
       "      <td>Marketing Manager</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>242</th>\n",
       "      <td>380</td>\n",
       "      <td>9</td>\n",
       "      <td>Martha</td>\n",
       "      <td>Payne</td>\n",
       "      <td>Female</td>\n",
       "      <td>Quinu</td>\n",
       "      <td>Assistant Media Planner</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>243</th>\n",
       "      <td>911</td>\n",
       "      <td>4</td>\n",
       "      <td>Patrick</td>\n",
       "      <td>Reed</td>\n",
       "      <td>Male</td>\n",
       "      <td>Jabberstorm</td>\n",
       "      <td>Senior Quality Engineer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>244</th>\n",
       "      <td>621</td>\n",
       "      <td>9</td>\n",
       "      <td>Amy</td>\n",
       "      <td>Long</td>\n",
       "      <td>Female</td>\n",
       "      <td>Skidoo</td>\n",
       "      <td>Research Associate</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>245</th>\n",
       "      <td>413</td>\n",
       "      <td>9</td>\n",
       "      <td>Diane</td>\n",
       "      <td>Bailey</td>\n",
       "      <td>Female</td>\n",
       "      <td>Wikibox</td>\n",
       "      <td>Technical Writer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>246</th>\n",
       "      <td>926</td>\n",
       "      <td>6</td>\n",
       "      <td>Anne</td>\n",
       "      <td>Wagner</td>\n",
       "      <td>Female</td>\n",
       "      <td>Skyba</td>\n",
       "      <td>Legal Assistant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>247</th>\n",
       "      <td>134</td>\n",
       "      <td>3</td>\n",
       "      <td>Diana</td>\n",
       "      <td>Hall</td>\n",
       "      <td>Female</td>\n",
       "      <td>Quinu</td>\n",
       "      <td>Financial Advisor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>248</th>\n",
       "      <td>396</td>\n",
       "      <td>6</td>\n",
       "      <td>Juan</td>\n",
       "      <td>Romero</td>\n",
       "      <td>Male</td>\n",
       "      <td>Zoonder</td>\n",
       "      <td>Analyst Programmer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>249</th>\n",
       "      <td>535</td>\n",
       "      <td>10</td>\n",
       "      <td>Nancy</td>\n",
       "      <td>Cox</td>\n",
       "      <td>Female</td>\n",
       "      <td>Trudeo</td>\n",
       "      <td>Research Associate</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>250 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Customer ID  Food ID First Name  Last Name  Gender       Company  \\\n",
       "0            537        9     Cheryl    Carroll  Female      Zoombeat   \n",
       "1             97        4     Amanda    Watkins  Female           Ozu   \n",
       "2            658        1    Patrick       Webb    Male     Browsebug   \n",
       "3            202        2      Louis   Campbell    Male     Rhynoodle   \n",
       "4            155        9    Carolyn       Diaz  Female      Gigazoom   \n",
       "5            213        8      Keith     Foster    Male     Gigashots   \n",
       "6            600        1     Sandra     Bailey  Female     Jaxnation   \n",
       "7            503        5     Justin    Daniels    Male          Oloo   \n",
       "8             71        3    Carolyn      Reyes  Female        Twimbo   \n",
       "9            174        3       Anna     Miller  Female       Innojam   \n",
       "10           961        9      Ralph   Richards    Male  Thoughtstorm   \n",
       "11           966        5     Robert       Ford    Male    Jabbertype   \n",
       "12           641        4      Donna  Gutierrez  Female       Dabtype   \n",
       "13           288        2    Kenneth    Jackson    Male         Voomm   \n",
       "14           149        4   Jennifer     Oliver  Female   Topiclounge   \n",
       "15           954        2     Thomas    Perkins    Male        Roodel   \n",
       "16           147        9    Theresa    Morales  Female         Abata   \n",
       "17           155        1    Carolyn       Diaz  Female      Gigazoom   \n",
       "18           550        6     Walter     Miller    Male          Yata   \n",
       "19           101        7     Jeremy     Nelson    Male   Brainlounge   \n",
       "20           549        6     Harold     Rivera    Male      Topdrive   \n",
       "21            75        6  Catherine  Carpenter  Female        Zoozzy   \n",
       "22            78        7     Robert    Kennedy    Male      Edgewire   \n",
       "23           514        5       Jack       Hill    Male      Blogtags   \n",
       "24           833        7    Carolyn       Dunn  Female         Yadel   \n",
       "25           329        8     Amanda     Nguyen  Female        Meezzy   \n",
       "26           586       10      Doris   Mcdonald  Female       Youfeed   \n",
       "27           341        1     Rachel   Robinson  Female       Twinder   \n",
       "28           519       10    Lillian     Rogers  Female         Eazzy   \n",
       "29           680        9      Irene     Gordon  Female       Voolith   \n",
       "..           ...      ...        ...        ...     ...           ...   \n",
       "220          147        8    Theresa    Morales  Female         Abata   \n",
       "221          745        4     Nicole      Garza  Female     Topiczoom   \n",
       "222          184        3      Jesse    Edwards    Male      Zoombeat   \n",
       "223          828        8       Mary      Payne  Female       Oyonder   \n",
       "224          578        5     Donald   Matthews    Male      Fiveclub   \n",
       "225          491        4       Anna    Perkins  Female         Zazio   \n",
       "226           62        4     Andrew     Tucker    Male        Leenti   \n",
       "227           77        9       Lori    Edwards  Female       Dabvine   \n",
       "228          506        9    Mildred    Mendoza  Female          Vitz   \n",
       "229          271        9    Beverly       Ward  Female      Brainbox   \n",
       "230          584       10    Jeffrey    Simmons    Male     Flipstorm   \n",
       "231          148        5   Patricia       Reid  Female  Shuffledrive   \n",
       "232          595        3      Bruce    Kennedy    Male          Mydo   \n",
       "233          274       10       Gary       Reid    Male      Fivespan   \n",
       "234          646        1      Wanda       Lane  Female         Twiyo   \n",
       "235          520        8    Melissa    Wallace  Female         Skyvu   \n",
       "236          644        8      Louis     Brooks    Male       Nlounge   \n",
       "237          725        8      Carol    Russell  Female        BlogXS   \n",
       "238          934        4     Joseph     Burton    Male         Leexo   \n",
       "239          151       10    Brandon     Oliver    Male         Voomm   \n",
       "240          945        5       Anne       Reed  Female  Twitterworks   \n",
       "241          343        3        Joe      Price    Male      Fanoodle   \n",
       "242          380        9     Martha      Payne  Female         Quinu   \n",
       "243          911        4    Patrick       Reed    Male   Jabberstorm   \n",
       "244          621        9        Amy       Long  Female        Skidoo   \n",
       "245          413        9      Diane     Bailey  Female       Wikibox   \n",
       "246          926        6       Anne     Wagner  Female         Skyba   \n",
       "247          134        3      Diana       Hall  Female         Quinu   \n",
       "248          396        6       Juan     Romero    Male       Zoonder   \n",
       "249          535       10      Nancy        Cox  Female        Trudeo   \n",
       "\n",
       "                         Occupation  \n",
       "0                  Registered Nurse  \n",
       "1               Account Coordinator  \n",
       "2     Community Outreach Specialist  \n",
       "3        Account Representative III  \n",
       "4        Database Administrator III  \n",
       "5                VP Quality Control  \n",
       "6                   Sales Associate  \n",
       "7                Environmental Tech  \n",
       "8              Safety Technician IV  \n",
       "9                       Developer I  \n",
       "10                     Accountant I  \n",
       "11        Account Representative IV  \n",
       "12              Assistant Professor  \n",
       "13              Associate Professor  \n",
       "14       Database Administrator III  \n",
       "15                Account Executive  \n",
       "16           Occupational Therapist  \n",
       "17       Database Administrator III  \n",
       "18   Payment Adjustment Coordinator  \n",
       "19                 Web Developer IV  \n",
       "20                  Cost Accountant  \n",
       "21                Marketing Manager  \n",
       "22                Chemical Engineer  \n",
       "23              Assistant Professor  \n",
       "24                        Recruiter  \n",
       "25              Associate Professor  \n",
       "26              Marketing Assistant  \n",
       "27             Safety Technician IV  \n",
       "28                        Paralegal  \n",
       "29        Database Administrator II  \n",
       "..                              ...  \n",
       "220          Occupational Therapist  \n",
       "221                 General Manager  \n",
       "222          Administrative Officer  \n",
       "223         Assistant Media Planner  \n",
       "224      Physical Therapy Assistant  \n",
       "225                Quality Engineer  \n",
       "226    Structural Analysis Engineer  \n",
       "227            Sales Representative  \n",
       "228              Environmental Tech  \n",
       "229        Automation Specialist II  \n",
       "230               Chemical Engineer  \n",
       "231   Analog Circuit Design manager  \n",
       "232                       Recruiter  \n",
       "233             Executive Secretary  \n",
       "234            Help Desk Technician  \n",
       "235          Administrative Officer  \n",
       "236              VP Quality Control  \n",
       "237                      Pharmacist  \n",
       "238            Compensation Analyst  \n",
       "239                Internal Auditor  \n",
       "240               Director of Sales  \n",
       "241               Marketing Manager  \n",
       "242         Assistant Media Planner  \n",
       "243         Senior Quality Engineer  \n",
       "244              Research Associate  \n",
       "245                Technical Writer  \n",
       "246                 Legal Assistant  \n",
       "247               Financial Advisor  \n",
       "248              Analyst Programmer  \n",
       "249              Research Associate  \n",
       "\n",
       "[250 rows x 7 columns]"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "week1.merge(customers,how = 'left',left_on = \"Customer ID\",right_index = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [],
   "source": [
    "sales = week1.merge(customers,how = 'left',left_on = \"Customer ID\",right_index = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [],
   "source": [
    "sales = sales.merge(foods, how = \"left\",left_on=\"Food ID\" , right_index = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Customer ID</th>\n",
       "      <th>Food ID</th>\n",
       "      <th>First Name</th>\n",
       "      <th>Last Name</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Company</th>\n",
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       "      <th>Food Item</th>\n",
       "      <th>Price</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>537</td>\n",
       "      <td>9</td>\n",
       "      <td>Cheryl</td>\n",
       "      <td>Carroll</td>\n",
       "      <td>Female</td>\n",
       "      <td>Zoombeat</td>\n",
       "      <td>Registered Nurse</td>\n",
       "      <td>Donut</td>\n",
       "      <td>0.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>97</td>\n",
       "      <td>4</td>\n",
       "      <td>Amanda</td>\n",
       "      <td>Watkins</td>\n",
       "      <td>Female</td>\n",
       "      <td>Ozu</td>\n",
       "      <td>Account Coordinator</td>\n",
       "      <td>Quesadilla</td>\n",
       "      <td>4.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>658</td>\n",
       "      <td>1</td>\n",
       "      <td>Patrick</td>\n",
       "      <td>Webb</td>\n",
       "      <td>Male</td>\n",
       "      <td>Browsebug</td>\n",
       "      <td>Community Outreach Specialist</td>\n",
       "      <td>Sushi</td>\n",
       "      <td>3.99</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Customer ID  Food ID First Name Last Name  Gender    Company  \\\n",
       "0          537        9     Cheryl   Carroll  Female   Zoombeat   \n",
       "1           97        4     Amanda   Watkins  Female        Ozu   \n",
       "2          658        1    Patrick      Webb    Male  Browsebug   \n",
       "\n",
       "                      Occupation   Food Item  Price  \n",
       "0               Registered Nurse       Donut   0.99  \n",
       "1            Account Coordinator  Quesadilla   4.25  \n",
       "2  Community Outreach Specialist       Sushi   3.99  "
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sales.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>Food ID</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
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       "      <td>97</td>\n",
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       "      <th>2</th>\n",
       "      <td>658</td>\n",
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       "</div>"
      ],
      "text/plain": [
       "   Customer ID  Food ID\n",
       "0          537        9\n",
       "1           97        4\n",
       "2          658        1"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "week1.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
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       "</div>"
      ],
      "text/plain": [
       "   Customer ID  Food ID\n",
       "0          688       10\n",
       "1          813        7\n",
       "2          495       10"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "week2.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>202</td>\n",
       "      <td>2</td>\n",
       "      <td>189</td>\n",
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       "      <th>4</th>\n",
       "      <td>155</td>\n",
       "      <td>9</td>\n",
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       "      <td>3</td>\n",
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       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>213</td>\n",
       "      <td>8</td>\n",
       "      <td>310</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>600</td>\n",
       "      <td>1</td>\n",
       "      <td>761</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>503</td>\n",
       "      <td>5</td>\n",
       "      <td>443</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>71</td>\n",
       "      <td>3</td>\n",
       "      <td>729</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>174</td>\n",
       "      <td>3</td>\n",
       "      <td>741</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>961</td>\n",
       "      <td>9</td>\n",
       "      <td>847</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>966</td>\n",
       "      <td>5</td>\n",
       "      <td>156</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>641</td>\n",
       "      <td>4</td>\n",
       "      <td>550</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>288</td>\n",
       "      <td>2</td>\n",
       "      <td>620</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>149</td>\n",
       "      <td>4</td>\n",
       "      <td>272</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>954</td>\n",
       "      <td>2</td>\n",
       "      <td>511</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>147</td>\n",
       "      <td>9</td>\n",
       "      <td>8</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>155</td>\n",
       "      <td>1</td>\n",
       "      <td>534</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>550</td>\n",
       "      <td>6</td>\n",
       "      <td>909</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>101</td>\n",
       "      <td>7</td>\n",
       "      <td>732</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>549</td>\n",
       "      <td>6</td>\n",
       "      <td>372</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>75</td>\n",
       "      <td>6</td>\n",
       "      <td>713</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>78</td>\n",
       "      <td>7</td>\n",
       "      <td>496</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>514</td>\n",
       "      <td>5</td>\n",
       "      <td>381</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>833</td>\n",
       "      <td>7</td>\n",
       "      <td>13</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>329</td>\n",
       "      <td>8</td>\n",
       "      <td>101</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>586</td>\n",
       "      <td>10</td>\n",
       "      <td>325</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>341</td>\n",
       "      <td>1</td>\n",
       "      <td>674</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>519</td>\n",
       "      <td>10</td>\n",
       "      <td>564</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>680</td>\n",
       "      <td>9</td>\n",
       "      <td>578</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>220</th>\n",
       "      <td>147</td>\n",
       "      <td>8</td>\n",
       "      <td>495</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>221</th>\n",
       "      <td>745</td>\n",
       "      <td>4</td>\n",
       "      <td>794</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>222</th>\n",
       "      <td>184</td>\n",
       "      <td>3</td>\n",
       "      <td>734</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>223</th>\n",
       "      <td>828</td>\n",
       "      <td>8</td>\n",
       "      <td>540</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>224</th>\n",
       "      <td>578</td>\n",
       "      <td>5</td>\n",
       "      <td>735</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>225</th>\n",
       "      <td>491</td>\n",
       "      <td>4</td>\n",
       "      <td>940</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>226</th>\n",
       "      <td>62</td>\n",
       "      <td>4</td>\n",
       "      <td>571</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227</th>\n",
       "      <td>77</td>\n",
       "      <td>9</td>\n",
       "      <td>888</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>228</th>\n",
       "      <td>506</td>\n",
       "      <td>9</td>\n",
       "      <td>664</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>229</th>\n",
       "      <td>271</td>\n",
       "      <td>9</td>\n",
       "      <td>343</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>230</th>\n",
       "      <td>584</td>\n",
       "      <td>10</td>\n",
       "      <td>143</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>231</th>\n",
       "      <td>148</td>\n",
       "      <td>5</td>\n",
       "      <td>505</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>232</th>\n",
       "      <td>595</td>\n",
       "      <td>3</td>\n",
       "      <td>54</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>233</th>\n",
       "      <td>274</td>\n",
       "      <td>10</td>\n",
       "      <td>959</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>234</th>\n",
       "      <td>646</td>\n",
       "      <td>1</td>\n",
       "      <td>367</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>235</th>\n",
       "      <td>520</td>\n",
       "      <td>8</td>\n",
       "      <td>883</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>236</th>\n",
       "      <td>644</td>\n",
       "      <td>8</td>\n",
       "      <td>251</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>237</th>\n",
       "      <td>725</td>\n",
       "      <td>8</td>\n",
       "      <td>855</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>238</th>\n",
       "      <td>934</td>\n",
       "      <td>4</td>\n",
       "      <td>233</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>151</td>\n",
       "      <td>10</td>\n",
       "      <td>559</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240</th>\n",
       "      <td>945</td>\n",
       "      <td>5</td>\n",
       "      <td>734</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241</th>\n",
       "      <td>343</td>\n",
       "      <td>3</td>\n",
       "      <td>677</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>242</th>\n",
       "      <td>380</td>\n",
       "      <td>9</td>\n",
       "      <td>276</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>243</th>\n",
       "      <td>911</td>\n",
       "      <td>4</td>\n",
       "      <td>45</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>244</th>\n",
       "      <td>621</td>\n",
       "      <td>9</td>\n",
       "      <td>945</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>245</th>\n",
       "      <td>413</td>\n",
       "      <td>9</td>\n",
       "      <td>783</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>246</th>\n",
       "      <td>926</td>\n",
       "      <td>6</td>\n",
       "      <td>556</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>247</th>\n",
       "      <td>134</td>\n",
       "      <td>3</td>\n",
       "      <td>547</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>248</th>\n",
       "      <td>396</td>\n",
       "      <td>6</td>\n",
       "      <td>252</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>249</th>\n",
       "      <td>535</td>\n",
       "      <td>10</td>\n",
       "      <td>249</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>250 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Customer ID_x  Food ID_x  Customer ID_y  Food ID_y\n",
       "0              537          9            688         10\n",
       "1               97          4            813          7\n",
       "2              658          1            495         10\n",
       "3              202          2            189          5\n",
       "4              155          9            267          3\n",
       "5              213          8            310          5\n",
       "6              600          1            761          2\n",
       "7              503          5            443          5\n",
       "8               71          3            729          9\n",
       "9              174          3            741          8\n",
       "10             961          9            847          6\n",
       "11             966          5            156         10\n",
       "12             641          4            550          7\n",
       "13             288          2            620         10\n",
       "14             149          4            272          4\n",
       "15             954          2            511          2\n",
       "16             147          9              8          6\n",
       "17             155          1            534          7\n",
       "18             550          6            909          6\n",
       "19             101          7            732          9\n",
       "20             549          6            372          4\n",
       "21              75          6            713          1\n",
       "22              78          7            496          3\n",
       "23             514          5            381          9\n",
       "24             833          7             13          2\n",
       "25             329          8            101          4\n",
       "26             586         10            325          7\n",
       "27             341          1            674          2\n",
       "28             519         10            564          8\n",
       "29             680          9            578          5\n",
       "..             ...        ...            ...        ...\n",
       "220            147          8            495          2\n",
       "221            745          4            794          6\n",
       "222            184          3            734         10\n",
       "223            828          8            540          3\n",
       "224            578          5            735          2\n",
       "225            491          4            940          8\n",
       "226             62          4            571          7\n",
       "227             77          9            888          2\n",
       "228            506          9            664          6\n",
       "229            271          9            343          7\n",
       "230            584         10            143          4\n",
       "231            148          5            505          3\n",
       "232            595          3             54          8\n",
       "233            274         10            959          2\n",
       "234            646          1            367          8\n",
       "235            520          8            883          8\n",
       "236            644          8            251          9\n",
       "237            725          8            855          4\n",
       "238            934          4            233          3\n",
       "239            151         10            559         10\n",
       "240            945          5            734          1\n",
       "241            343          3            677          3\n",
       "242            380          9            276          4\n",
       "243            911          4             45          8\n",
       "244            621          9            945          4\n",
       "245            413          9            783         10\n",
       "246            926          6            556         10\n",
       "247            134          3            547          9\n",
       "248            396          6            252          9\n",
       "249            535         10            249          6\n",
       "\n",
       "[250 rows x 4 columns]"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "week1.merge(week2,how='left',left_index=True,right_index=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## The .join() method"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [],
   "source": [
    "week1 = pd.read_csv('Restaurant - Week 1 Sales.csv')\n",
    "week2 = pd.read_csv('Restaurant - Week 2 Sales.csv')\n",
    "customers = pd.read_csv('Restaurant - Customers.csv')\n",
    "foods = pd.read_csv('Restaurant - Foods.csv')\n",
    "satisfaction = pd.read_csv('Restaurant - Week 1 Satisfaction.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "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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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Customer ID</th>\n",
       "      <th>Food ID</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>537</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>97</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>658</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Customer ID  Food ID\n",
       "0          537        9\n",
       "1           97        4\n",
       "2          658        1"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "week1.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "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",
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       "\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>Satisfaction Rating</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Satisfaction Rating\n",
       "0                    2\n",
       "1                    7\n",
       "2                    3"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "satisfaction.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "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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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Customer ID</th>\n",
       "      <th>Food ID</th>\n",
       "      <th>Satisfaction Rating</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>537</td>\n",
       "      <td>9</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>97</td>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>658</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>202</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>155</td>\n",
       "      <td>9</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Customer ID  Food ID  Satisfaction Rating\n",
       "0          537        9                    2\n",
       "1           97        4                    7\n",
       "2          658        1                    3\n",
       "3          202        2                    7\n",
       "4          155        9                   10"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "week1.merge(satisfaction, how = 'left',left_index=True,right_index=True).head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\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>Customer ID</th>\n",
       "      <th>Food ID</th>\n",
       "      <th>Satisfaction Rating</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>537</td>\n",
       "      <td>9</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>97</td>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>658</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>202</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>155</td>\n",
       "      <td>9</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Customer ID  Food ID  Satisfaction Rating\n",
       "0          537        9                    2\n",
       "1           97        4                    7\n",
       "2          658        1                    3\n",
       "3          202        2                    7\n",
       "4          155        9                   10"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "week1.join(satisfaction).head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [],
   "source": [
    "# join() does in one LOC but merger method gives us more internal functionalities"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## pd.merge() method"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [],
   "source": [
    "week1 = pd.read_csv('Restaurant - Week 1 Sales.csv')\n",
    "week2 = pd.read_csv('Restaurant - Week 2 Sales.csv')\n",
    "customers = pd.read_csv('Restaurant - Customers.csv')\n",
    "foods = pd.read_csv('Restaurant - Foods.csv')\n",
    "satisfaction = pd.read_csv('Restaurant - Week 1 Satisfaction.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "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",
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       "\n",
       "    .dataframe thead th {\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>Customer ID</th>\n",
       "      <th>Food ID</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>537</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>97</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>658</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Customer ID  Food ID\n",
       "0          537        9\n",
       "1           97        4\n",
       "2          658        1"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "week1.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "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",
       "    .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>ID</th>\n",
       "      <th>First Name</th>\n",
       "      <th>Last Name</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Company</th>\n",
       "      <th>Occupation</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>Joseph</td>\n",
       "      <td>Perkins</td>\n",
       "      <td>Male</td>\n",
       "      <td>Dynazzy</td>\n",
       "      <td>Community Outreach Specialist</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>Jennifer</td>\n",
       "      <td>Alvarez</td>\n",
       "      <td>Female</td>\n",
       "      <td>DabZ</td>\n",
       "      <td>Senior Quality Engineer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>Roger</td>\n",
       "      <td>Black</td>\n",
       "      <td>Male</td>\n",
       "      <td>Tagfeed</td>\n",
       "      <td>Account Executive</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   ID First Name Last Name  Gender  Company                     Occupation\n",
       "0   1     Joseph   Perkins    Male  Dynazzy  Community Outreach Specialist\n",
       "1   2   Jennifer   Alvarez  Female     DabZ        Senior Quality Engineer\n",
       "2   3      Roger     Black    Male  Tagfeed              Account Executive"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "customers.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Customer ID</th>\n",
       "      <th>Food ID</th>\n",
       "      <th>ID</th>\n",
       "      <th>First Name</th>\n",
       "      <th>Last Name</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Company</th>\n",
       "      <th>Occupation</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>537</td>\n",
       "      <td>9</td>\n",
       "      <td>537</td>\n",
       "      <td>Cheryl</td>\n",
       "      <td>Carroll</td>\n",
       "      <td>Female</td>\n",
       "      <td>Zoombeat</td>\n",
       "      <td>Registered Nurse</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>97</td>\n",
       "      <td>4</td>\n",
       "      <td>97</td>\n",
       "      <td>Amanda</td>\n",
       "      <td>Watkins</td>\n",
       "      <td>Female</td>\n",
       "      <td>Ozu</td>\n",
       "      <td>Account Coordinator</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>658</td>\n",
       "      <td>1</td>\n",
       "      <td>658</td>\n",
       "      <td>Patrick</td>\n",
       "      <td>Webb</td>\n",
       "      <td>Male</td>\n",
       "      <td>Browsebug</td>\n",
       "      <td>Community Outreach Specialist</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>202</td>\n",
       "      <td>2</td>\n",
       "      <td>202</td>\n",
       "      <td>Louis</td>\n",
       "      <td>Campbell</td>\n",
       "      <td>Male</td>\n",
       "      <td>Rhynoodle</td>\n",
       "      <td>Account Representative III</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>155</td>\n",
       "      <td>9</td>\n",
       "      <td>155</td>\n",
       "      <td>Carolyn</td>\n",
       "      <td>Diaz</td>\n",
       "      <td>Female</td>\n",
       "      <td>Gigazoom</td>\n",
       "      <td>Database Administrator III</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>213</td>\n",
       "      <td>8</td>\n",
       "      <td>213</td>\n",
       "      <td>Keith</td>\n",
       "      <td>Foster</td>\n",
       "      <td>Male</td>\n",
       "      <td>Gigashots</td>\n",
       "      <td>VP Quality Control</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>600</td>\n",
       "      <td>1</td>\n",
       "      <td>600</td>\n",
       "      <td>Sandra</td>\n",
       "      <td>Bailey</td>\n",
       "      <td>Female</td>\n",
       "      <td>Jaxnation</td>\n",
       "      <td>Sales Associate</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>503</td>\n",
       "      <td>5</td>\n",
       "      <td>503</td>\n",
       "      <td>Justin</td>\n",
       "      <td>Daniels</td>\n",
       "      <td>Male</td>\n",
       "      <td>Oloo</td>\n",
       "      <td>Environmental Tech</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>71</td>\n",
       "      <td>3</td>\n",
       "      <td>71</td>\n",
       "      <td>Carolyn</td>\n",
       "      <td>Reyes</td>\n",
       "      <td>Female</td>\n",
       "      <td>Twimbo</td>\n",
       "      <td>Safety Technician IV</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>174</td>\n",
       "      <td>3</td>\n",
       "      <td>174</td>\n",
       "      <td>Anna</td>\n",
       "      <td>Miller</td>\n",
       "      <td>Female</td>\n",
       "      <td>Innojam</td>\n",
       "      <td>Developer I</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>961</td>\n",
       "      <td>9</td>\n",
       "      <td>961</td>\n",
       "      <td>Ralph</td>\n",
       "      <td>Richards</td>\n",
       "      <td>Male</td>\n",
       "      <td>Thoughtstorm</td>\n",
       "      <td>Accountant I</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>966</td>\n",
       "      <td>5</td>\n",
       "      <td>966</td>\n",
       "      <td>Robert</td>\n",
       "      <td>Ford</td>\n",
       "      <td>Male</td>\n",
       "      <td>Jabbertype</td>\n",
       "      <td>Account Representative IV</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>641</td>\n",
       "      <td>4</td>\n",
       "      <td>641</td>\n",
       "      <td>Donna</td>\n",
       "      <td>Gutierrez</td>\n",
       "      <td>Female</td>\n",
       "      <td>Dabtype</td>\n",
       "      <td>Assistant Professor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>288</td>\n",
       "      <td>2</td>\n",
       "      <td>288</td>\n",
       "      <td>Kenneth</td>\n",
       "      <td>Jackson</td>\n",
       "      <td>Male</td>\n",
       "      <td>Voomm</td>\n",
       "      <td>Associate Professor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>149</td>\n",
       "      <td>4</td>\n",
       "      <td>149</td>\n",
       "      <td>Jennifer</td>\n",
       "      <td>Oliver</td>\n",
       "      <td>Female</td>\n",
       "      <td>Topiclounge</td>\n",
       "      <td>Database Administrator III</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>954</td>\n",
       "      <td>2</td>\n",
       "      <td>954</td>\n",
       "      <td>Thomas</td>\n",
       "      <td>Perkins</td>\n",
       "      <td>Male</td>\n",
       "      <td>Roodel</td>\n",
       "      <td>Account Executive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>147</td>\n",
       "      <td>9</td>\n",
       "      <td>147</td>\n",
       "      <td>Theresa</td>\n",
       "      <td>Morales</td>\n",
       "      <td>Female</td>\n",
       "      <td>Abata</td>\n",
       "      <td>Occupational Therapist</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>155</td>\n",
       "      <td>1</td>\n",
       "      <td>155</td>\n",
       "      <td>Carolyn</td>\n",
       "      <td>Diaz</td>\n",
       "      <td>Female</td>\n",
       "      <td>Gigazoom</td>\n",
       "      <td>Database Administrator III</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>550</td>\n",
       "      <td>6</td>\n",
       "      <td>550</td>\n",
       "      <td>Walter</td>\n",
       "      <td>Miller</td>\n",
       "      <td>Male</td>\n",
       "      <td>Yata</td>\n",
       "      <td>Payment Adjustment Coordinator</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>101</td>\n",
       "      <td>7</td>\n",
       "      <td>101</td>\n",
       "      <td>Jeremy</td>\n",
       "      <td>Nelson</td>\n",
       "      <td>Male</td>\n",
       "      <td>Brainlounge</td>\n",
       "      <td>Web Developer IV</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>549</td>\n",
       "      <td>6</td>\n",
       "      <td>549</td>\n",
       "      <td>Harold</td>\n",
       "      <td>Rivera</td>\n",
       "      <td>Male</td>\n",
       "      <td>Topdrive</td>\n",
       "      <td>Cost Accountant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>75</td>\n",
       "      <td>6</td>\n",
       "      <td>75</td>\n",
       "      <td>Catherine</td>\n",
       "      <td>Carpenter</td>\n",
       "      <td>Female</td>\n",
       "      <td>Zoozzy</td>\n",
       "      <td>Marketing Manager</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>78</td>\n",
       "      <td>7</td>\n",
       "      <td>78</td>\n",
       "      <td>Robert</td>\n",
       "      <td>Kennedy</td>\n",
       "      <td>Male</td>\n",
       "      <td>Edgewire</td>\n",
       "      <td>Chemical Engineer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>514</td>\n",
       "      <td>5</td>\n",
       "      <td>514</td>\n",
       "      <td>Jack</td>\n",
       "      <td>Hill</td>\n",
       "      <td>Male</td>\n",
       "      <td>Blogtags</td>\n",
       "      <td>Assistant Professor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>833</td>\n",
       "      <td>7</td>\n",
       "      <td>833</td>\n",
       "      <td>Carolyn</td>\n",
       "      <td>Dunn</td>\n",
       "      <td>Female</td>\n",
       "      <td>Yadel</td>\n",
       "      <td>Recruiter</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>329</td>\n",
       "      <td>8</td>\n",
       "      <td>329</td>\n",
       "      <td>Amanda</td>\n",
       "      <td>Nguyen</td>\n",
       "      <td>Female</td>\n",
       "      <td>Meezzy</td>\n",
       "      <td>Associate Professor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>586</td>\n",
       "      <td>10</td>\n",
       "      <td>586</td>\n",
       "      <td>Doris</td>\n",
       "      <td>Mcdonald</td>\n",
       "      <td>Female</td>\n",
       "      <td>Youfeed</td>\n",
       "      <td>Marketing Assistant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>341</td>\n",
       "      <td>1</td>\n",
       "      <td>341</td>\n",
       "      <td>Rachel</td>\n",
       "      <td>Robinson</td>\n",
       "      <td>Female</td>\n",
       "      <td>Twinder</td>\n",
       "      <td>Safety Technician IV</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>519</td>\n",
       "      <td>10</td>\n",
       "      <td>519</td>\n",
       "      <td>Lillian</td>\n",
       "      <td>Rogers</td>\n",
       "      <td>Female</td>\n",
       "      <td>Eazzy</td>\n",
       "      <td>Paralegal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>680</td>\n",
       "      <td>9</td>\n",
       "      <td>680</td>\n",
       "      <td>Irene</td>\n",
       "      <td>Gordon</td>\n",
       "      <td>Female</td>\n",
       "      <td>Voolith</td>\n",
       "      <td>Database Administrator II</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>220</th>\n",
       "      <td>147</td>\n",
       "      <td>8</td>\n",
       "      <td>147</td>\n",
       "      <td>Theresa</td>\n",
       "      <td>Morales</td>\n",
       "      <td>Female</td>\n",
       "      <td>Abata</td>\n",
       "      <td>Occupational Therapist</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>221</th>\n",
       "      <td>745</td>\n",
       "      <td>4</td>\n",
       "      <td>745</td>\n",
       "      <td>Nicole</td>\n",
       "      <td>Garza</td>\n",
       "      <td>Female</td>\n",
       "      <td>Topiczoom</td>\n",
       "      <td>General Manager</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>222</th>\n",
       "      <td>184</td>\n",
       "      <td>3</td>\n",
       "      <td>184</td>\n",
       "      <td>Jesse</td>\n",
       "      <td>Edwards</td>\n",
       "      <td>Male</td>\n",
       "      <td>Zoombeat</td>\n",
       "      <td>Administrative Officer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>223</th>\n",
       "      <td>828</td>\n",
       "      <td>8</td>\n",
       "      <td>828</td>\n",
       "      <td>Mary</td>\n",
       "      <td>Payne</td>\n",
       "      <td>Female</td>\n",
       "      <td>Oyonder</td>\n",
       "      <td>Assistant Media Planner</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>224</th>\n",
       "      <td>578</td>\n",
       "      <td>5</td>\n",
       "      <td>578</td>\n",
       "      <td>Donald</td>\n",
       "      <td>Matthews</td>\n",
       "      <td>Male</td>\n",
       "      <td>Fiveclub</td>\n",
       "      <td>Physical Therapy Assistant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>225</th>\n",
       "      <td>491</td>\n",
       "      <td>4</td>\n",
       "      <td>491</td>\n",
       "      <td>Anna</td>\n",
       "      <td>Perkins</td>\n",
       "      <td>Female</td>\n",
       "      <td>Zazio</td>\n",
       "      <td>Quality Engineer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>226</th>\n",
       "      <td>62</td>\n",
       "      <td>4</td>\n",
       "      <td>62</td>\n",
       "      <td>Andrew</td>\n",
       "      <td>Tucker</td>\n",
       "      <td>Male</td>\n",
       "      <td>Leenti</td>\n",
       "      <td>Structural Analysis Engineer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227</th>\n",
       "      <td>77</td>\n",
       "      <td>9</td>\n",
       "      <td>77</td>\n",
       "      <td>Lori</td>\n",
       "      <td>Edwards</td>\n",
       "      <td>Female</td>\n",
       "      <td>Dabvine</td>\n",
       "      <td>Sales Representative</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>228</th>\n",
       "      <td>506</td>\n",
       "      <td>9</td>\n",
       "      <td>506</td>\n",
       "      <td>Mildred</td>\n",
       "      <td>Mendoza</td>\n",
       "      <td>Female</td>\n",
       "      <td>Vitz</td>\n",
       "      <td>Environmental Tech</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>229</th>\n",
       "      <td>271</td>\n",
       "      <td>9</td>\n",
       "      <td>271</td>\n",
       "      <td>Beverly</td>\n",
       "      <td>Ward</td>\n",
       "      <td>Female</td>\n",
       "      <td>Brainbox</td>\n",
       "      <td>Automation Specialist II</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>230</th>\n",
       "      <td>584</td>\n",
       "      <td>10</td>\n",
       "      <td>584</td>\n",
       "      <td>Jeffrey</td>\n",
       "      <td>Simmons</td>\n",
       "      <td>Male</td>\n",
       "      <td>Flipstorm</td>\n",
       "      <td>Chemical Engineer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>231</th>\n",
       "      <td>148</td>\n",
       "      <td>5</td>\n",
       "      <td>148</td>\n",
       "      <td>Patricia</td>\n",
       "      <td>Reid</td>\n",
       "      <td>Female</td>\n",
       "      <td>Shuffledrive</td>\n",
       "      <td>Analog Circuit Design manager</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>232</th>\n",
       "      <td>595</td>\n",
       "      <td>3</td>\n",
       "      <td>595</td>\n",
       "      <td>Bruce</td>\n",
       "      <td>Kennedy</td>\n",
       "      <td>Male</td>\n",
       "      <td>Mydo</td>\n",
       "      <td>Recruiter</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>233</th>\n",
       "      <td>274</td>\n",
       "      <td>10</td>\n",
       "      <td>274</td>\n",
       "      <td>Gary</td>\n",
       "      <td>Reid</td>\n",
       "      <td>Male</td>\n",
       "      <td>Fivespan</td>\n",
       "      <td>Executive Secretary</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>234</th>\n",
       "      <td>646</td>\n",
       "      <td>1</td>\n",
       "      <td>646</td>\n",
       "      <td>Wanda</td>\n",
       "      <td>Lane</td>\n",
       "      <td>Female</td>\n",
       "      <td>Twiyo</td>\n",
       "      <td>Help Desk Technician</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>235</th>\n",
       "      <td>520</td>\n",
       "      <td>8</td>\n",
       "      <td>520</td>\n",
       "      <td>Melissa</td>\n",
       "      <td>Wallace</td>\n",
       "      <td>Female</td>\n",
       "      <td>Skyvu</td>\n",
       "      <td>Administrative Officer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>236</th>\n",
       "      <td>644</td>\n",
       "      <td>8</td>\n",
       "      <td>644</td>\n",
       "      <td>Louis</td>\n",
       "      <td>Brooks</td>\n",
       "      <td>Male</td>\n",
       "      <td>Nlounge</td>\n",
       "      <td>VP Quality Control</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>237</th>\n",
       "      <td>725</td>\n",
       "      <td>8</td>\n",
       "      <td>725</td>\n",
       "      <td>Carol</td>\n",
       "      <td>Russell</td>\n",
       "      <td>Female</td>\n",
       "      <td>BlogXS</td>\n",
       "      <td>Pharmacist</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>238</th>\n",
       "      <td>934</td>\n",
       "      <td>4</td>\n",
       "      <td>934</td>\n",
       "      <td>Joseph</td>\n",
       "      <td>Burton</td>\n",
       "      <td>Male</td>\n",
       "      <td>Leexo</td>\n",
       "      <td>Compensation Analyst</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>151</td>\n",
       "      <td>10</td>\n",
       "      <td>151</td>\n",
       "      <td>Brandon</td>\n",
       "      <td>Oliver</td>\n",
       "      <td>Male</td>\n",
       "      <td>Voomm</td>\n",
       "      <td>Internal Auditor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240</th>\n",
       "      <td>945</td>\n",
       "      <td>5</td>\n",
       "      <td>945</td>\n",
       "      <td>Anne</td>\n",
       "      <td>Reed</td>\n",
       "      <td>Female</td>\n",
       "      <td>Twitterworks</td>\n",
       "      <td>Director of Sales</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241</th>\n",
       "      <td>343</td>\n",
       "      <td>3</td>\n",
       "      <td>343</td>\n",
       "      <td>Joe</td>\n",
       "      <td>Price</td>\n",
       "      <td>Male</td>\n",
       "      <td>Fanoodle</td>\n",
       "      <td>Marketing Manager</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>242</th>\n",
       "      <td>380</td>\n",
       "      <td>9</td>\n",
       "      <td>380</td>\n",
       "      <td>Martha</td>\n",
       "      <td>Payne</td>\n",
       "      <td>Female</td>\n",
       "      <td>Quinu</td>\n",
       "      <td>Assistant Media Planner</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>243</th>\n",
       "      <td>911</td>\n",
       "      <td>4</td>\n",
       "      <td>911</td>\n",
       "      <td>Patrick</td>\n",
       "      <td>Reed</td>\n",
       "      <td>Male</td>\n",
       "      <td>Jabberstorm</td>\n",
       "      <td>Senior Quality Engineer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>244</th>\n",
       "      <td>621</td>\n",
       "      <td>9</td>\n",
       "      <td>621</td>\n",
       "      <td>Amy</td>\n",
       "      <td>Long</td>\n",
       "      <td>Female</td>\n",
       "      <td>Skidoo</td>\n",
       "      <td>Research Associate</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>245</th>\n",
       "      <td>413</td>\n",
       "      <td>9</td>\n",
       "      <td>413</td>\n",
       "      <td>Diane</td>\n",
       "      <td>Bailey</td>\n",
       "      <td>Female</td>\n",
       "      <td>Wikibox</td>\n",
       "      <td>Technical Writer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>246</th>\n",
       "      <td>926</td>\n",
       "      <td>6</td>\n",
       "      <td>926</td>\n",
       "      <td>Anne</td>\n",
       "      <td>Wagner</td>\n",
       "      <td>Female</td>\n",
       "      <td>Skyba</td>\n",
       "      <td>Legal Assistant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>247</th>\n",
       "      <td>134</td>\n",
       "      <td>3</td>\n",
       "      <td>134</td>\n",
       "      <td>Diana</td>\n",
       "      <td>Hall</td>\n",
       "      <td>Female</td>\n",
       "      <td>Quinu</td>\n",
       "      <td>Financial Advisor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>248</th>\n",
       "      <td>396</td>\n",
       "      <td>6</td>\n",
       "      <td>396</td>\n",
       "      <td>Juan</td>\n",
       "      <td>Romero</td>\n",
       "      <td>Male</td>\n",
       "      <td>Zoonder</td>\n",
       "      <td>Analyst Programmer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>249</th>\n",
       "      <td>535</td>\n",
       "      <td>10</td>\n",
       "      <td>535</td>\n",
       "      <td>Nancy</td>\n",
       "      <td>Cox</td>\n",
       "      <td>Female</td>\n",
       "      <td>Trudeo</td>\n",
       "      <td>Research Associate</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>250 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Customer ID  Food ID   ID First Name  Last Name  Gender       Company  \\\n",
       "0            537        9  537     Cheryl    Carroll  Female      Zoombeat   \n",
       "1             97        4   97     Amanda    Watkins  Female           Ozu   \n",
       "2            658        1  658    Patrick       Webb    Male     Browsebug   \n",
       "3            202        2  202      Louis   Campbell    Male     Rhynoodle   \n",
       "4            155        9  155    Carolyn       Diaz  Female      Gigazoom   \n",
       "5            213        8  213      Keith     Foster    Male     Gigashots   \n",
       "6            600        1  600     Sandra     Bailey  Female     Jaxnation   \n",
       "7            503        5  503     Justin    Daniels    Male          Oloo   \n",
       "8             71        3   71    Carolyn      Reyes  Female        Twimbo   \n",
       "9            174        3  174       Anna     Miller  Female       Innojam   \n",
       "10           961        9  961      Ralph   Richards    Male  Thoughtstorm   \n",
       "11           966        5  966     Robert       Ford    Male    Jabbertype   \n",
       "12           641        4  641      Donna  Gutierrez  Female       Dabtype   \n",
       "13           288        2  288    Kenneth    Jackson    Male         Voomm   \n",
       "14           149        4  149   Jennifer     Oliver  Female   Topiclounge   \n",
       "15           954        2  954     Thomas    Perkins    Male        Roodel   \n",
       "16           147        9  147    Theresa    Morales  Female         Abata   \n",
       "17           155        1  155    Carolyn       Diaz  Female      Gigazoom   \n",
       "18           550        6  550     Walter     Miller    Male          Yata   \n",
       "19           101        7  101     Jeremy     Nelson    Male   Brainlounge   \n",
       "20           549        6  549     Harold     Rivera    Male      Topdrive   \n",
       "21            75        6   75  Catherine  Carpenter  Female        Zoozzy   \n",
       "22            78        7   78     Robert    Kennedy    Male      Edgewire   \n",
       "23           514        5  514       Jack       Hill    Male      Blogtags   \n",
       "24           833        7  833    Carolyn       Dunn  Female         Yadel   \n",
       "25           329        8  329     Amanda     Nguyen  Female        Meezzy   \n",
       "26           586       10  586      Doris   Mcdonald  Female       Youfeed   \n",
       "27           341        1  341     Rachel   Robinson  Female       Twinder   \n",
       "28           519       10  519    Lillian     Rogers  Female         Eazzy   \n",
       "29           680        9  680      Irene     Gordon  Female       Voolith   \n",
       "..           ...      ...  ...        ...        ...     ...           ...   \n",
       "220          147        8  147    Theresa    Morales  Female         Abata   \n",
       "221          745        4  745     Nicole      Garza  Female     Topiczoom   \n",
       "222          184        3  184      Jesse    Edwards    Male      Zoombeat   \n",
       "223          828        8  828       Mary      Payne  Female       Oyonder   \n",
       "224          578        5  578     Donald   Matthews    Male      Fiveclub   \n",
       "225          491        4  491       Anna    Perkins  Female         Zazio   \n",
       "226           62        4   62     Andrew     Tucker    Male        Leenti   \n",
       "227           77        9   77       Lori    Edwards  Female       Dabvine   \n",
       "228          506        9  506    Mildred    Mendoza  Female          Vitz   \n",
       "229          271        9  271    Beverly       Ward  Female      Brainbox   \n",
       "230          584       10  584    Jeffrey    Simmons    Male     Flipstorm   \n",
       "231          148        5  148   Patricia       Reid  Female  Shuffledrive   \n",
       "232          595        3  595      Bruce    Kennedy    Male          Mydo   \n",
       "233          274       10  274       Gary       Reid    Male      Fivespan   \n",
       "234          646        1  646      Wanda       Lane  Female         Twiyo   \n",
       "235          520        8  520    Melissa    Wallace  Female         Skyvu   \n",
       "236          644        8  644      Louis     Brooks    Male       Nlounge   \n",
       "237          725        8  725      Carol    Russell  Female        BlogXS   \n",
       "238          934        4  934     Joseph     Burton    Male         Leexo   \n",
       "239          151       10  151    Brandon     Oliver    Male         Voomm   \n",
       "240          945        5  945       Anne       Reed  Female  Twitterworks   \n",
       "241          343        3  343        Joe      Price    Male      Fanoodle   \n",
       "242          380        9  380     Martha      Payne  Female         Quinu   \n",
       "243          911        4  911    Patrick       Reed    Male   Jabberstorm   \n",
       "244          621        9  621        Amy       Long  Female        Skidoo   \n",
       "245          413        9  413      Diane     Bailey  Female       Wikibox   \n",
       "246          926        6  926       Anne     Wagner  Female         Skyba   \n",
       "247          134        3  134      Diana       Hall  Female         Quinu   \n",
       "248          396        6  396       Juan     Romero    Male       Zoonder   \n",
       "249          535       10  535      Nancy        Cox  Female        Trudeo   \n",
       "\n",
       "                         Occupation  \n",
       "0                  Registered Nurse  \n",
       "1               Account Coordinator  \n",
       "2     Community Outreach Specialist  \n",
       "3        Account Representative III  \n",
       "4        Database Administrator III  \n",
       "5                VP Quality Control  \n",
       "6                   Sales Associate  \n",
       "7                Environmental Tech  \n",
       "8              Safety Technician IV  \n",
       "9                       Developer I  \n",
       "10                     Accountant I  \n",
       "11        Account Representative IV  \n",
       "12              Assistant Professor  \n",
       "13              Associate Professor  \n",
       "14       Database Administrator III  \n",
       "15                Account Executive  \n",
       "16           Occupational Therapist  \n",
       "17       Database Administrator III  \n",
       "18   Payment Adjustment Coordinator  \n",
       "19                 Web Developer IV  \n",
       "20                  Cost Accountant  \n",
       "21                Marketing Manager  \n",
       "22                Chemical Engineer  \n",
       "23              Assistant Professor  \n",
       "24                        Recruiter  \n",
       "25              Associate Professor  \n",
       "26              Marketing Assistant  \n",
       "27             Safety Technician IV  \n",
       "28                        Paralegal  \n",
       "29        Database Administrator II  \n",
       "..                              ...  \n",
       "220          Occupational Therapist  \n",
       "221                 General Manager  \n",
       "222          Administrative Officer  \n",
       "223         Assistant Media Planner  \n",
       "224      Physical Therapy Assistant  \n",
       "225                Quality Engineer  \n",
       "226    Structural Analysis Engineer  \n",
       "227            Sales Representative  \n",
       "228              Environmental Tech  \n",
       "229        Automation Specialist II  \n",
       "230               Chemical Engineer  \n",
       "231   Analog Circuit Design manager  \n",
       "232                       Recruiter  \n",
       "233             Executive Secretary  \n",
       "234            Help Desk Technician  \n",
       "235          Administrative Officer  \n",
       "236              VP Quality Control  \n",
       "237                      Pharmacist  \n",
       "238            Compensation Analyst  \n",
       "239                Internal Auditor  \n",
       "240               Director of Sales  \n",
       "241               Marketing Manager  \n",
       "242         Assistant Media Planner  \n",
       "243         Senior Quality Engineer  \n",
       "244              Research Associate  \n",
       "245                Technical Writer  \n",
       "246                 Legal Assistant  \n",
       "247               Financial Advisor  \n",
       "248              Analyst Programmer  \n",
       "249              Research Associate  \n",
       "\n",
       "[250 rows x 8 columns]"
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.merge(week1 , customers , how = 'left' , left_on=\"Customer ID\" , right_on=\"ID\" , )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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