Moive_mojo_project.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Get Box office data from moviemojo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Imports\n",
    "import pandas as pd\n",
    "import requests\n",
    "from bs4 import BeautifulSoup as bs\n",
    "import pickle\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## _Get the box office number for the desired week_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_site(week, year):\n",
    "    \"\"\"\n",
    "    Get the page source for BOM top daily gross corresponding to month and year \n",
    "    \"\"\"\n",
    "    html = 'http://www.boxofficemojo.com/weekend/chart/?yr={}&wknd={}&p=.htm'.format(year, week)\n",
    "    r = requests.get(html)  # Most sites can be accessed via the get function\n",
    "    return r.content"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## _Parse the source code and clean data_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "def parse_source(page_source):\n",
    "    \n",
    "    page_soup = bs(page_source, \"lxml\")\n",
    "    table = page_soup.find_all('table', attrs={'cellspacing': '1'})[0]  \n",
    "    \n",
    "    output_columns = ['TW', 'LW', 'Title', 'Studio', 'Weekend_Gross/$', '%_Change',\n",
    "                  'Theater_Count','Theater_Change', 'Average/$', 'Total_Gross/$', 'Budget', 'num_week']\n",
    "    output = dict((x, []) for x in output_columns)\n",
    "\n",
    "    all_rows = table.find_all('tr')[1:106]\n",
    "\n",
    "    for row in all_rows[:50]:\n",
    "        row_cols = row.find_all('td')\n",
    "        for dict_key, col in zip(output_columns, row_cols):\n",
    "            output[dict_key].append(col.text)\n",
    "\n",
    "    output_pd = pd.DataFrame(output)\n",
    "    output_pd = output_pd[output_columns]\n",
    "    \n",
    "    return output_pd\n",
    "\n",
    "def df_format(main_df):\n",
    "    change_columns1 = ['Weekend_Gross/$', 'Average/$', 'Total_Gross/$', '%_Change']\n",
    "    change_columns2 = ['Theater_Change', 'Theater_Count']\n",
    "    change_columns3 = ['num_week', 'TW']\n",
    "    main_df.drop('Budget', axis=1, inplace=True)\n",
    "    for i in change_columns1:\n",
    "        if i != '%_Change':\n",
    "            main_df.loc[:, str(i)] = main_df.loc[:, str(i)].str.replace(',', '')\n",
    "            main_df.loc[:, str(i)] = main_df.loc[:, str(i)].str.replace('$', '') \n",
    "            main_df.loc[:, str(i)] = main_df.loc[:, str(i)].astype(int) \n",
    "        else:\n",
    "            main_df.loc[:, str(i)] = main_df.loc[:, str(i)].str.replace('%', '')\n",
    "            main_df.loc[:, str(i)] = main_df.loc[:, str(i)].str.replace(',', '')\n",
    "            main_df.loc[:, str(i)] = main_df.loc[:, str(i)].replace('-', 0)\n",
    "            main_df.loc[:, str(i)] = main_df.loc[:, str(i)].astype(float) \n",
    "\n",
    "    for b in change_columns2:\n",
    "        if b == 'Theater_Count':\n",
    "            main_df.loc[:, str(b)] = main_df.loc[:, str(b)].str.replace(',', '')\n",
    "            main_df.loc[:, str(b)] = main_df.loc[:, str(b)].astype(int)\n",
    "        elif b == 'Theater_Change':\n",
    "            main_df.loc[:, str(b)] = main_df.loc[:, str(b)].str.replace(',', '')\n",
    "            main_df.loc[:, str(b)] = main_df.loc[:, str(b)].replace('-', 0)\n",
    "            main_df.loc[:, str(b)] = main_df.loc[:, str(b)].astype(int) \n",
    "\n",
    "    for c in change_columns3:\n",
    "        main_df.loc[:, str(c)] = main_df.loc[:, str(c)].astype(int) \n",
    "    main_df.set_index('TW', inplace=True)\n",
    "    return main_df\n",
    "\n",
    "\n",
    "def get_sum(df):\n",
    "    print('total gross box office: ',df['Weekend_Gross/$'].sum(),'$')\n",
    "    count = df['Theater_Count'].sort_values(ascending=False).head(10)\n",
    "    print(count)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "40"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import datetime\n",
    "datetime.date(2018, 10, 2).isocalendar()[1]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### _Get the table_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>LW</th>\n",
       "      <th>Title</th>\n",
       "      <th>Studio</th>\n",
       "      <th>Weekend_Gross/$</th>\n",
       "      <th>%_Change</th>\n",
       "      <th>Theater_Count</th>\n",
       "      <th>Theater_Change</th>\n",
       "      <th>Average/$</th>\n",
       "      <th>Total_Gross/$</th>\n",
       "      <th>num_week</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TW</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>N</td>\n",
       "      <td>Venom (2018)</td>\n",
       "      <td>Sony</td>\n",
       "      <td>80255756</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4250</td>\n",
       "      <td>0</td>\n",
       "      <td>18884</td>\n",
       "      <td>80255756</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>N</td>\n",
       "      <td>A Star is Born (2018)</td>\n",
       "      <td>WB</td>\n",
       "      <td>42908051</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3686</td>\n",
       "      <td>0</td>\n",
       "      <td>11641</td>\n",
       "      <td>44258051</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2</td>\n",
       "      <td>Smallfoot</td>\n",
       "      <td>WB</td>\n",
       "      <td>14402559</td>\n",
       "      <td>-37.5</td>\n",
       "      <td>4131</td>\n",
       "      <td>0</td>\n",
       "      <td>3486</td>\n",
       "      <td>42263504</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>Night School (2018)</td>\n",
       "      <td>Uni.</td>\n",
       "      <td>12514925</td>\n",
       "      <td>-54.1</td>\n",
       "      <td>3019</td>\n",
       "      <td>9</td>\n",
       "      <td>4145</td>\n",
       "      <td>46991280</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>3</td>\n",
       "      <td>The House With A Clock In Its Walls</td>\n",
       "      <td>Uni.</td>\n",
       "      <td>7332665</td>\n",
       "      <td>-41.8</td>\n",
       "      <td>3463</td>\n",
       "      <td>-129</td>\n",
       "      <td>2117</td>\n",
       "      <td>55089225</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>4</td>\n",
       "      <td>A Simple Favor</td>\n",
       "      <td>LGF</td>\n",
       "      <td>3424954</td>\n",
       "      <td>-47.6</td>\n",
       "      <td>2408</td>\n",
       "      <td>-665</td>\n",
       "      <td>1422</td>\n",
       "      <td>49004310</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>5</td>\n",
       "      <td>The Nun</td>\n",
       "      <td>WB (NL)</td>\n",
       "      <td>2703281</td>\n",
       "      <td>-50.2</td>\n",
       "      <td>2264</td>\n",
       "      <td>-1067</td>\n",
       "      <td>1194</td>\n",
       "      <td>113460591</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>7</td>\n",
       "      <td>Crazy Rich Asians</td>\n",
       "      <td>WB</td>\n",
       "      <td>2166626</td>\n",
       "      <td>-47.2</td>\n",
       "      <td>1466</td>\n",
       "      <td>-881</td>\n",
       "      <td>1478</td>\n",
       "      <td>169241568</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>6</td>\n",
       "      <td>Hell Fest</td>\n",
       "      <td>LGF</td>\n",
       "      <td>2083759</td>\n",
       "      <td>-59.4</td>\n",
       "      <td>2297</td>\n",
       "      <td>0</td>\n",
       "      <td>907</td>\n",
       "      <td>8873235</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>8</td>\n",
       "      <td>The Predator (2018)</td>\n",
       "      <td>Fox</td>\n",
       "      <td>947358</td>\n",
       "      <td>-75.5</td>\n",
       "      <td>1643</td>\n",
       "      <td>-1283</td>\n",
       "      <td>577</td>\n",
       "      <td>50033247</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>9</td>\n",
       "      <td>White Boy Rick</td>\n",
       "      <td>Studio 8</td>\n",
       "      <td>603341</td>\n",
       "      <td>-74.9</td>\n",
       "      <td>880</td>\n",
       "      <td>-1137</td>\n",
       "      <td>686</td>\n",
       "      <td>23351427</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>24</td>\n",
       "      <td>Free Solo</td>\n",
       "      <td>NGE</td>\n",
       "      <td>562786</td>\n",
       "      <td>91.2</td>\n",
       "      <td>41</td>\n",
       "      <td>37</td>\n",
       "      <td>13726</td>\n",
       "      <td>984857</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>N</td>\n",
       "      <td>The Hate U Give</td>\n",
       "      <td>Fox</td>\n",
       "      <td>512035</td>\n",
       "      <td>0.0</td>\n",
       "      <td>36</td>\n",
       "      <td>0</td>\n",
       "      <td>14223</td>\n",
       "      <td>512035</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>22</td>\n",
       "      <td>Colette</td>\n",
       "      <td>BST</td>\n",
       "      <td>492981</td>\n",
       "      <td>27.5</td>\n",
       "      <td>107</td>\n",
       "      <td>69</td>\n",
       "      <td>4607</td>\n",
       "      <td>1272741</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>10</td>\n",
       "      <td>Peppermint</td>\n",
       "      <td>STX</td>\n",
       "      <td>473806</td>\n",
       "      <td>-73.2</td>\n",
       "      <td>813</td>\n",
       "      <td>-1189</td>\n",
       "      <td>583</td>\n",
       "      <td>34717200</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>14</td>\n",
       "      <td>Searching</td>\n",
       "      <td>SGem</td>\n",
       "      <td>443106</td>\n",
       "      <td>-53.6</td>\n",
       "      <td>412</td>\n",
       "      <td>-602</td>\n",
       "      <td>1076</td>\n",
       "      <td>25649766</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>23</td>\n",
       "      <td>Disney's Christopher Robin</td>\n",
       "      <td>BV</td>\n",
       "      <td>435545</td>\n",
       "      <td>27.9</td>\n",
       "      <td>1638</td>\n",
       "      <td>968</td>\n",
       "      <td>266</td>\n",
       "      <td>98102927</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>31</td>\n",
       "      <td>The Old Man &amp; the Gun</td>\n",
       "      <td>FoxS</td>\n",
       "      <td>403928</td>\n",
       "      <td>184.2</td>\n",
       "      <td>49</td>\n",
       "      <td>44</td>\n",
       "      <td>8243</td>\n",
       "      <td>594383</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>15</td>\n",
       "      <td>The Wife</td>\n",
       "      <td>SPC</td>\n",
       "      <td>383403</td>\n",
       "      <td>-46.3</td>\n",
       "      <td>358</td>\n",
       "      <td>-79</td>\n",
       "      <td>1071</td>\n",
       "      <td>6790237</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>18</td>\n",
       "      <td>Mission: Impossible - Fallout</td>\n",
       "      <td>Par.</td>\n",
       "      <td>321576</td>\n",
       "      <td>-48.5</td>\n",
       "      <td>361</td>\n",
       "      <td>-177</td>\n",
       "      <td>891</td>\n",
       "      <td>219754005</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>11</td>\n",
       "      <td>My Hero Academia: Two Heroes</td>\n",
       "      <td>FUN</td>\n",
       "      <td>290439</td>\n",
       "      <td>-79.1</td>\n",
       "      <td>8</td>\n",
       "      <td>-500</td>\n",
       "      <td>36305</td>\n",
       "      <td>5729558</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>26</td>\n",
       "      <td>Incredibles 2</td>\n",
       "      <td>BV</td>\n",
       "      <td>280305</td>\n",
       "      <td>3.0</td>\n",
       "      <td>244</td>\n",
       "      <td>-94</td>\n",
       "      <td>1149</td>\n",
       "      <td>607125392</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>N</td>\n",
       "      <td>Andhadhun</td>\n",
       "      <td>Eros</td>\n",
       "      <td>278677</td>\n",
       "      <td>0.0</td>\n",
       "      <td>56</td>\n",
       "      <td>0</td>\n",
       "      <td>4976</td>\n",
       "      <td>278677</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>13</td>\n",
       "      <td>The Meg</td>\n",
       "      <td>WB</td>\n",
       "      <td>266049</td>\n",
       "      <td>-74.2</td>\n",
       "      <td>533</td>\n",
       "      <td>-710</td>\n",
       "      <td>499</td>\n",
       "      <td>142491832</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>12</td>\n",
       "      <td>Fahrenheit 11/9</td>\n",
       "      <td>Briarcliff</td>\n",
       "      <td>238510</td>\n",
       "      <td>-78.5</td>\n",
       "      <td>422</td>\n",
       "      <td>-1297</td>\n",
       "      <td>565</td>\n",
       "      <td>5985895</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>25</td>\n",
       "      <td>Hotel Transylvania 3: Summer Vacation</td>\n",
       "      <td>Sony</td>\n",
       "      <td>230377</td>\n",
       "      <td>-17.4</td>\n",
       "      <td>230</td>\n",
       "      <td>-184</td>\n",
       "      <td>1002</td>\n",
       "      <td>166735989</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>N</td>\n",
       "      <td>Shine (2018)</td>\n",
       "      <td>GVN</td>\n",
       "      <td>205842</td>\n",
       "      <td>0.0</td>\n",
       "      <td>609</td>\n",
       "      <td>0</td>\n",
       "      <td>338</td>\n",
       "      <td>205842</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>28</td>\n",
       "      <td>The Sisters Brothers</td>\n",
       "      <td>Annapurna</td>\n",
       "      <td>203525</td>\n",
       "      <td>-12.8</td>\n",
       "      <td>54</td>\n",
       "      <td>27</td>\n",
       "      <td>3769</td>\n",
       "      <td>690023</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>16</td>\n",
       "      <td>Little Women (2018)</td>\n",
       "      <td>Pinnacle</td>\n",
       "      <td>171892</td>\n",
       "      <td>-75.6</td>\n",
       "      <td>451</td>\n",
       "      <td>-192</td>\n",
       "      <td>381</td>\n",
       "      <td>1170508</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>21</td>\n",
       "      <td>BlacKkKlansman</td>\n",
       "      <td>Focus</td>\n",
       "      <td>165155</td>\n",
       "      <td>-63.1</td>\n",
       "      <td>158</td>\n",
       "      <td>-278</td>\n",
       "      <td>1045</td>\n",
       "      <td>48179465</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>20</td>\n",
       "      <td>Unbroken: Path to Redemption</td>\n",
       "      <td>PFR</td>\n",
       "      <td>160208</td>\n",
       "      <td>-67.1</td>\n",
       "      <td>335</td>\n",
       "      <td>-406</td>\n",
       "      <td>478</td>\n",
       "      <td>5991271</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>38</td>\n",
       "      <td>Monsters and Men</td>\n",
       "      <td>Neon</td>\n",
       "      <td>146092</td>\n",
       "      <td>23.1</td>\n",
       "      <td>143</td>\n",
       "      <td>125</td>\n",
       "      <td>1022</td>\n",
       "      <td>304047</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>27</td>\n",
       "      <td>Ant-Man and the Wasp</td>\n",
       "      <td>BV</td>\n",
       "      <td>134126</td>\n",
       "      <td>-49.2</td>\n",
       "      <td>178</td>\n",
       "      <td>-80</td>\n",
       "      <td>754</td>\n",
       "      <td>216370952</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>37</td>\n",
       "      <td>Mandy</td>\n",
       "      <td>RLJ</td>\n",
       "      <td>75834</td>\n",
       "      <td>-37.0</td>\n",
       "      <td>41</td>\n",
       "      <td>-23</td>\n",
       "      <td>1850</td>\n",
       "      <td>1005909</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>50</td>\n",
       "      <td>Tea with the Dames</td>\n",
       "      <td>IFC</td>\n",
       "      <td>68091</td>\n",
       "      <td>60.4</td>\n",
       "      <td>45</td>\n",
       "      <td>26</td>\n",
       "      <td>1513</td>\n",
       "      <td>155324</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>34</td>\n",
       "      <td>Mamma Mia! Here We Go Again</td>\n",
       "      <td>Uni.</td>\n",
       "      <td>60900</td>\n",
       "      <td>-52.7</td>\n",
       "      <td>135</td>\n",
       "      <td>-43</td>\n",
       "      <td>451</td>\n",
       "      <td>120587890</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>32</td>\n",
       "      <td>Love, Gilda</td>\n",
       "      <td>Magn.</td>\n",
       "      <td>55514</td>\n",
       "      <td>-59.0</td>\n",
       "      <td>74</td>\n",
       "      <td>-34</td>\n",
       "      <td>750</td>\n",
       "      <td>539976</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>44</td>\n",
       "      <td>Pick of the Litter</td>\n",
       "      <td>IFC</td>\n",
       "      <td>51384</td>\n",
       "      <td>-32.4</td>\n",
       "      <td>58</td>\n",
       "      <td>-2</td>\n",
       "      <td>886</td>\n",
       "      <td>452101</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>30</td>\n",
       "      <td>Alpha</td>\n",
       "      <td>Studio 8</td>\n",
       "      <td>50128</td>\n",
       "      <td>-67.6</td>\n",
       "      <td>103</td>\n",
       "      <td>-145</td>\n",
       "      <td>487</td>\n",
       "      <td>35596262</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>40</td>\n",
       "      <td>The Great Battle</td>\n",
       "      <td>WGUSA</td>\n",
       "      <td>45175</td>\n",
       "      <td>-52.8</td>\n",
       "      <td>16</td>\n",
       "      <td>-8</td>\n",
       "      <td>2823</td>\n",
       "      <td>399498</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>35</td>\n",
       "      <td>Operation Finale</td>\n",
       "      <td>MGM</td>\n",
       "      <td>42353</td>\n",
       "      <td>-66.4</td>\n",
       "      <td>111</td>\n",
       "      <td>-101</td>\n",
       "      <td>382</td>\n",
       "      <td>17549231</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>17</td>\n",
       "      <td>Life Itself (2018)</td>\n",
       "      <td>Amazon</td>\n",
       "      <td>38443</td>\n",
       "      <td>-94.2</td>\n",
       "      <td>242</td>\n",
       "      <td>-2113</td>\n",
       "      <td>159</td>\n",
       "      <td>4063867</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>47</td>\n",
       "      <td>Science Fair</td>\n",
       "      <td>NGE</td>\n",
       "      <td>37650</td>\n",
       "      <td>-39.4</td>\n",
       "      <td>36</td>\n",
       "      <td>9</td>\n",
       "      <td>1046</td>\n",
       "      <td>166836</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>36</td>\n",
       "      <td>Golden Job</td>\n",
       "      <td>WGUSA</td>\n",
       "      <td>37391</td>\n",
       "      <td>-69.2</td>\n",
       "      <td>15</td>\n",
       "      <td>-19</td>\n",
       "      <td>2493</td>\n",
       "      <td>226187</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>43</td>\n",
       "      <td>The Children Act</td>\n",
       "      <td>A24</td>\n",
       "      <td>31980</td>\n",
       "      <td>-61.8</td>\n",
       "      <td>52</td>\n",
       "      <td>-21</td>\n",
       "      <td>615</td>\n",
       "      <td>432541</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>49</td>\n",
       "      <td>Matangi/Maya/M.I.A.</td>\n",
       "      <td>Abr.</td>\n",
       "      <td>31955</td>\n",
       "      <td>-26.7</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>4565</td>\n",
       "      <td>92081</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>41</td>\n",
       "      <td>Blaze (2018)</td>\n",
       "      <td>IFC</td>\n",
       "      <td>31054</td>\n",
       "      <td>-65.9</td>\n",
       "      <td>77</td>\n",
       "      <td>-11</td>\n",
       "      <td>403</td>\n",
       "      <td>645234</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>48</td>\n",
       "      <td>Ya Veremos</td>\n",
       "      <td>PNT</td>\n",
       "      <td>25889</td>\n",
       "      <td>-50.3</td>\n",
       "      <td>37</td>\n",
       "      <td>-21</td>\n",
       "      <td>700</td>\n",
       "      <td>4155094</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>52</td>\n",
       "      <td>The Fireflies are Gone</td>\n",
       "      <td>EOne</td>\n",
       "      <td>25197</td>\n",
       "      <td>-35.9</td>\n",
       "      <td>23</td>\n",
       "      <td>-2</td>\n",
       "      <td>1096</td>\n",
       "      <td>178413</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>56</td>\n",
       "      <td>A.X.L.</td>\n",
       "      <td>Global Road</td>\n",
       "      <td>22513</td>\n",
       "      <td>-37.5</td>\n",
       "      <td>55</td>\n",
       "      <td>-30</td>\n",
       "      <td>409</td>\n",
       "      <td>6488582</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    LW                                  Title       Studio  Weekend_Gross/$  \\\n",
       "TW                                                                            \n",
       "1    N                           Venom (2018)         Sony         80255756   \n",
       "2    N                  A Star is Born (2018)           WB         42908051   \n",
       "3    2                              Smallfoot           WB         14402559   \n",
       "4    1                    Night School (2018)         Uni.         12514925   \n",
       "5    3    The House With A Clock In Its Walls         Uni.          7332665   \n",
       "6    4                         A Simple Favor          LGF          3424954   \n",
       "7    5                                The Nun      WB (NL)          2703281   \n",
       "8    7                      Crazy Rich Asians           WB          2166626   \n",
       "9    6                              Hell Fest          LGF          2083759   \n",
       "10   8                    The Predator (2018)          Fox           947358   \n",
       "11   9                         White Boy Rick     Studio 8           603341   \n",
       "12  24                              Free Solo          NGE           562786   \n",
       "13   N                        The Hate U Give          Fox           512035   \n",
       "14  22                                Colette          BST           492981   \n",
       "15  10                             Peppermint          STX           473806   \n",
       "16  14                              Searching         SGem           443106   \n",
       "17  23             Disney's Christopher Robin           BV           435545   \n",
       "18  31                  The Old Man & the Gun         FoxS           403928   \n",
       "19  15                               The Wife          SPC           383403   \n",
       "20  18          Mission: Impossible - Fallout         Par.           321576   \n",
       "21  11           My Hero Academia: Two Heroes          FUN           290439   \n",
       "22  26                          Incredibles 2           BV           280305   \n",
       "23   N                              Andhadhun         Eros           278677   \n",
       "24  13                                The Meg           WB           266049   \n",
       "25  12                        Fahrenheit 11/9   Briarcliff           238510   \n",
       "26  25  Hotel Transylvania 3: Summer Vacation         Sony           230377   \n",
       "27   N                           Shine (2018)          GVN           205842   \n",
       "28  28                   The Sisters Brothers    Annapurna           203525   \n",
       "29  16                    Little Women (2018)     Pinnacle           171892   \n",
       "30  21                         BlacKkKlansman        Focus           165155   \n",
       "31  20           Unbroken: Path to Redemption          PFR           160208   \n",
       "32  38                       Monsters and Men         Neon           146092   \n",
       "33  27                   Ant-Man and the Wasp           BV           134126   \n",
       "34  37                                  Mandy          RLJ            75834   \n",
       "35  50                     Tea with the Dames          IFC            68091   \n",
       "36  34            Mamma Mia! Here We Go Again         Uni.            60900   \n",
       "37  32                            Love, Gilda        Magn.            55514   \n",
       "38  44                     Pick of the Litter          IFC            51384   \n",
       "39  30                                  Alpha     Studio 8            50128   \n",
       "40  40                       The Great Battle        WGUSA            45175   \n",
       "41  35                       Operation Finale          MGM            42353   \n",
       "42  17                     Life Itself (2018)       Amazon            38443   \n",
       "43  47                           Science Fair          NGE            37650   \n",
       "44  36                             Golden Job        WGUSA            37391   \n",
       "45  43                       The Children Act          A24            31980   \n",
       "46  49                    Matangi/Maya/M.I.A.         Abr.            31955   \n",
       "47  41                           Blaze (2018)          IFC            31054   \n",
       "48  48                             Ya Veremos          PNT            25889   \n",
       "49  52                 The Fireflies are Gone         EOne            25197   \n",
       "50  56                                 A.X.L.  Global Road            22513   \n",
       "\n",
       "    %_Change  Theater_Count  Theater_Change  Average/$  Total_Gross/$  \\\n",
       "TW                                                                      \n",
       "1        0.0           4250               0      18884       80255756   \n",
       "2        0.0           3686               0      11641       44258051   \n",
       "3      -37.5           4131               0       3486       42263504   \n",
       "4      -54.1           3019               9       4145       46991280   \n",
       "5      -41.8           3463            -129       2117       55089225   \n",
       "6      -47.6           2408            -665       1422       49004310   \n",
       "7      -50.2           2264           -1067       1194      113460591   \n",
       "8      -47.2           1466            -881       1478      169241568   \n",
       "9      -59.4           2297               0        907        8873235   \n",
       "10     -75.5           1643           -1283        577       50033247   \n",
       "11     -74.9            880           -1137        686       23351427   \n",
       "12      91.2             41              37      13726         984857   \n",
       "13       0.0             36               0      14223         512035   \n",
       "14      27.5            107              69       4607        1272741   \n",
       "15     -73.2            813           -1189        583       34717200   \n",
       "16     -53.6            412            -602       1076       25649766   \n",
       "17      27.9           1638             968        266       98102927   \n",
       "18     184.2             49              44       8243         594383   \n",
       "19     -46.3            358             -79       1071        6790237   \n",
       "20     -48.5            361            -177        891      219754005   \n",
       "21     -79.1              8            -500      36305        5729558   \n",
       "22       3.0            244             -94       1149      607125392   \n",
       "23       0.0             56               0       4976         278677   \n",
       "24     -74.2            533            -710        499      142491832   \n",
       "25     -78.5            422           -1297        565        5985895   \n",
       "26     -17.4            230            -184       1002      166735989   \n",
       "27       0.0            609               0        338         205842   \n",
       "28     -12.8             54              27       3769         690023   \n",
       "29     -75.6            451            -192        381        1170508   \n",
       "30     -63.1            158            -278       1045       48179465   \n",
       "31     -67.1            335            -406        478        5991271   \n",
       "32      23.1            143             125       1022         304047   \n",
       "33     -49.2            178             -80        754      216370952   \n",
       "34     -37.0             41             -23       1850        1005909   \n",
       "35      60.4             45              26       1513         155324   \n",
       "36     -52.7            135             -43        451      120587890   \n",
       "37     -59.0             74             -34        750         539976   \n",
       "38     -32.4             58              -2        886         452101   \n",
       "39     -67.6            103            -145        487       35596262   \n",
       "40     -52.8             16              -8       2823         399498   \n",
       "41     -66.4            111            -101        382       17549231   \n",
       "42     -94.2            242           -2113        159        4063867   \n",
       "43     -39.4             36               9       1046         166836   \n",
       "44     -69.2             15             -19       2493         226187   \n",
       "45     -61.8             52             -21        615         432541   \n",
       "46     -26.7              7               5       4565          92081   \n",
       "47     -65.9             77             -11        403         645234   \n",
       "48     -50.3             37             -21        700        4155094   \n",
       "49     -35.9             23              -2       1096         178413   \n",
       "50     -37.5             55             -30        409        6488582   \n",
       "\n",
       "    num_week  \n",
       "TW            \n",
       "1          1  \n",
       "2          1  \n",
       "3          2  \n",
       "4          2  \n",
       "5          3  \n",
       "6          4  \n",
       "7          5  \n",
       "8          8  \n",
       "9          2  \n",
       "10         4  \n",
       "11         4  \n",
       "12         2  \n",
       "13         1  \n",
       "14         3  \n",
       "15         5  \n",
       "16         7  \n",
       "17        10  \n",
       "18         2  \n",
       "19         8  \n",
       "20        11  \n",
       "21         2  \n",
       "22        17  \n",
       "23         1  \n",
       "24         9  \n",
       "25         3  \n",
       "26        13  \n",
       "27         1  \n",
       "28         3  \n",
       "29         2  \n",
       "30         9  \n",
       "31         4  \n",
       "32         2  \n",
       "33        14  \n",
       "34         4  \n",
       "35         3  \n",
       "36        12  \n",
       "37         3  \n",
       "38         6  \n",
       "39         8  \n",
       "40         3  \n",
       "41         6  \n",
       "42         3  \n",
       "43         4  \n",
       "44         2  \n",
       "45         4  \n",
       "46         2  \n",
       "47         8  \n",
       "48         6  \n",
       "49         3  \n",
       "50         7  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new = get_site(40, 2018)\n",
    "main_df = parse_source(new)\n",
    "main_df = df_format(main_df)\n",
    "main_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### _Further investigation_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "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>Weekend_Gross/$</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Studio</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Sony</th>\n",
       "      <td>80486133</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WB</th>\n",
       "      <td>59743285</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Uni.</th>\n",
       "      <td>19908490</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LGF</th>\n",
       "      <td>5508713</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WB (NL)</th>\n",
       "      <td>2703281</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fox</th>\n",
       "      <td>1459393</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BV</th>\n",
       "      <td>849976</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Studio 8</th>\n",
       "      <td>653469</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NGE</th>\n",
       "      <td>600436</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BST</th>\n",
       "      <td>492981</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          Weekend_Gross/$\n",
       "Studio                   \n",
       "Sony             80486133\n",
       "WB               59743285\n",
       "Uni.             19908490\n",
       "LGF               5508713\n",
       "WB (NL)           2703281\n",
       "Fox               1459393\n",
       "BV                 849976\n",
       "Studio 8           653469\n",
       "NGE                600436\n",
       "BST                492981"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# a closer investigation to see which studio is doing well\n",
    "# week 36\n",
    "week40 = pd.DataFrame(main_df.groupby('Studio')['Weekend_Gross/$'].sum()).sort_values('Weekend_Gross/$', ascending=False)\n",
    "week40.head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- It seems like Warner Bros and Sony are doing prettey well in week 38 and 39"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Let's have a look week 35 and 34 \n",
    "# To make this easier, let's create a function\n",
    "def get_top_box_office(week, year):\n",
    "    new = get_site(week, year)\n",
    "    main_df = df_format(parse_source(new))\n",
    "    return pd.DataFrame(main_df.groupby('Studio')['Weekend_Gross/$'].sum())\\\n",
    "                                .sort_values('Weekend_Gross/$', ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "week38 = get_top_box_office(38, 2018)\n",
    "week39 = get_top_box_office(39, 2018)"
   ]
  },
  {
   "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>Weekend_Gross/$</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Studio</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Uni.</th>\n",
       "      <td>27204165</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LGF</th>\n",
       "      <td>10302574</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WB (NL)</th>\n",
       "      <td>9965635</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fox</th>\n",
       "      <td>9176459</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WB</th>\n",
       "      <td>8707481</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Weekend_Gross/$\n",
       "Studio                  \n",
       "Uni.            27204165\n",
       "LGF             10302574\n",
       "WB (NL)          9965635\n",
       "Fox              9176459\n",
       "WB               8707481"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "week38.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Weekend_Gross/$</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Studio</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Uni.</th>\n",
       "      <td>40105965</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WB</th>\n",
       "      <td>28243825</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LGF</th>\n",
       "      <td>11671629</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WB (NL)</th>\n",
       "      <td>5428875</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fox</th>\n",
       "      <td>3860826</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Weekend_Gross/$\n",
       "Studio                  \n",
       "Uni.            40105965\n",
       "WB              28243825\n",
       "LGF             11671629\n",
       "WB (NL)          5428875\n",
       "Fox              3860826"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "week39.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- It seems like Warner Bros was doing pretty well in week38 and week39, too."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Let's get all the top 10 box office from 2018 and combine them"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Modify the function and make it return the top 10 of studio name and weekend_gross\n",
    "\n",
    "def get_top_box_office2(week, year):\n",
    "    new = get_site(week, year)\n",
    "    main_df = df_format(parse_source(new))\n",
    "    main_df2 = pd.DataFrame(main_df.groupby('Studio')['Weekend_Gross/$'].sum())\\\n",
    "                                .sort_values('Weekend_Gross/$', ascending=False).reset_index()\n",
    "    return main_df2['Studio'].tolist()[:10], main_df2['Weekend_Gross/$'].tolist()[:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 24.9 s, sys: 189 ms, total: 25.1 s\n",
      "Wall time: 1min 13s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "data = []\n",
    "for i in range(1, 40):\n",
    "    studio, gross = get_top_box_office2(i, 2018)\n",
    "    data.append((i, studio, gross))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Find all the top 10 studio in to a 1 list.\n",
    "top_10 = []\n",
    "for i in data:\n",
    "    top_10.extend(i[1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "top_10_count = pd.Series(top_10).value_counts().reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "top_10_count = top_10_count[:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "top_10_count.columns = ['studio', 'count']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "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>studio</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>BV</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>WB</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Uni.</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Fox</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Par.</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Sony</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>STX</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>WB (NL)</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Focus</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>LGF</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    studio  count\n",
       "0       BV     37\n",
       "1       WB     34\n",
       "2     Uni.     32\n",
       "3      Fox     31\n",
       "4     Par.     27\n",
       "5     Sony     25\n",
       "6      STX     23\n",
       "7  WB (NL)     23\n",
       "8    Focus     22\n",
       "9      LGF     18"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "top_10_count"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- It seems like BV (Disney) is the winner of 2018 box office so far, followed by Universal, Warner Brother, Fox, Paramount"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Let's caluculate the box office for each studio.\n",
    "# What we need to do is to pair studio name and box office in one tuple\n",
    "box_office = []\n",
    "for a in data:\n",
    "    for b, c in zip(a[1], a[2]):\n",
    "        box_office.append((b, c))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "box_office_df = pd.DataFrame(box_office, columns=['studio', 'box_office'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Get the sum of box office\n",
    "box_office_sum = box_office_df.groupby('studio', as_index=False)['box_office'].sum().sort_values(by='box_office', ascending = False)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "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",
       "\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>studio</th>\n",
       "      <th>box_office</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>BV</td>\n",
       "      <td>1914547714</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Uni.</td>\n",
       "      <td>793989735</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>WB</td>\n",
       "      <td>568380610</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Fox</td>\n",
       "      <td>552262928</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Sony</td>\n",
       "      <td>447856779</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Par.</td>\n",
       "      <td>383446438</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>WB (NL)</td>\n",
       "      <td>281188082</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>STX</td>\n",
       "      <td>169205092</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>LGF</td>\n",
       "      <td>148883908</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Focus</td>\n",
       "      <td>83619077</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    studio  box_office\n",
       "0       BV  1914547714\n",
       "1     Uni.   793989735\n",
       "2       WB   568380610\n",
       "3      Fox   552262928\n",
       "4     Sony   447856779\n",
       "5     Par.   383446438\n",
       "6  WB (NL)   281188082\n",
       "7      STX   169205092\n",
       "8      LGF   148883908\n",
       "9    Focus    83619077"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Do some preprocessing, so we can join two table\n",
    "box_office_sum_10 = box_office_sum[:10].reset_index(drop=True)\n",
    "box_office_sum_10"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "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>studio</th>\n",
       "      <th>box_office</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>BV</td>\n",
       "      <td>1914547714</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Uni.</td>\n",
       "      <td>793989735</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>WB</td>\n",
       "      <td>568380610</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Fox</td>\n",
       "      <td>552262928</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Sony</td>\n",
       "      <td>447856779</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Par.</td>\n",
       "      <td>383446438</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>WB (NL)</td>\n",
       "      <td>281188082</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>STX</td>\n",
       "      <td>169205092</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>LGF</td>\n",
       "      <td>148883908</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Focus</td>\n",
       "      <td>83619077</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    studio  box_office  count\n",
       "0       BV  1914547714     37\n",
       "1     Uni.   793989735     32\n",
       "2       WB   568380610     34\n",
       "3      Fox   552262928     31\n",
       "4     Sony   447856779     25\n",
       "5     Par.   383446438     27\n",
       "6  WB (NL)   281188082     23\n",
       "7      STX   169205092     23\n",
       "8      LGF   148883908     18\n",
       "9    Focus    83619077     22"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "top10 = box_office_sum_10.merge(top_10_count, on='studio')\n",
    "top10"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## visualisation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(2, 1, figsize=(10, 8), dpi=100)\n",
    "\n",
    "mycolors = ['#A6192E', '#85714D']\n",
    "box_sale = top10[['studio', 'box_office']].set_index('studio')\n",
    "top_10counts = top10[['studio', 'count']].set_index('studio')\n",
    "\n",
    "f1 = box_sale.plot(kind='bar', alpha = 0.9, rot=0, color = mycolors[0], ax=ax[0], legend=False, sharex=True)\n",
    "\n",
    "# Adding x annotation\n",
    "for i in f1.patches:\n",
    "    f1.annotate(str(round(i.get_height()/1000000, 1))+'M',(i.get_x() + i.get_width() / 2., i.get_height()), ha='center', va='center', xytext=(0, 10), textcoords='offset points', \n",
    "                                                                                                                                            color=mycolors[0])\n",
    "f1.set_ylim(0, max(top10['box_office']*1.2))\n",
    "f1.set(title = \"Box office analysis\", xlabel='Studio', ylabel='Box office sale/$')\n",
    "\n",
    "\n",
    "f2 = top_10counts.plot(kind='bar', alpha = 0.9, rot=0, color = mycolors[1], ax=ax[1], legend=False, sharex=True)\n",
    "# Adding x annotation\n",
    "for i in f2.patches:\n",
    "    f2.annotate(str(i.get_height()),(i.get_x() + i.get_width() / 2., i.get_height()), ha='center', va='center', xytext=(0, 10), textcoords='offset points', color = mycolors[1])\n",
    "f2.set_ylim(0, max(top10['count']*1.2))\n",
    "\n",
    "f2.set(title = \"Top 10 counts in 2018\", xlabel='Studio', ylabel='Counts')\n",
    "\n",
    "fig.tight_layout()\n",
    " # Plot a Bar chart\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Two charts showed that once again BV (Disney donmintates the box office in 2018)\n",
    "- BV's box office sale is more than twice as Universal, although it only got into top 10 weekend box offices 5 more times than Universal.\n",
    "</br>\n",
    "### This can be further explored in the next part"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [],
   "source": [
    "filename = 'movie_data.pkl'\n",
    "moive = open(filename, 'wb')\n",
    "pickle.dump(data, moive)\n",
    "moive.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [],
   "source": [
    "file = open(filename, 'rb')\n",
    "data = pickle.load(file)\n",
    "file.close()"
   ]
  }
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