Bar Chart.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "from matplotlib import pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ID</th>\n",
       "      <th>Movie</th>\n",
       "      <th>COSTS(Million_USD)</th>\n",
       "      <th>REVENUE(Million_USD)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>JL</td>\n",
       "      <td>Justice League</td>\n",
       "      <td>300</td>\n",
       "      <td>229</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>FotF</td>\n",
       "      <td>The Fate of the Furious</td>\n",
       "      <td>250</td>\n",
       "      <td>226</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>BatB</td>\n",
       "      <td>Beauty and the Beast</td>\n",
       "      <td>231</td>\n",
       "      <td>717</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Split</td>\n",
       "      <td>Split</td>\n",
       "      <td>5</td>\n",
       "      <td>110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>GO</td>\n",
       "      <td>Get Out</td>\n",
       "      <td>5</td>\n",
       "      <td>90</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      ID                    Movie  COSTS(Million_USD)  REVENUE(Million_USD)\n",
       "0     JL           Justice League                 300                   229\n",
       "1   FotF  The Fate of the Furious                 250                   226\n",
       "2   BatB     Beauty and the Beast                 231                   717\n",
       "3  Split                    Split                   5                   110\n",
       "4     GO                  Get Out                   5                    90"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df=pd.read_csv(\"data/box_office_data.csv\")\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ID</th>\n",
       "      <th>Movie</th>\n",
       "      <th>COSTS(Million_USD)</th>\n",
       "      <th>REVENUE(Million_USD)</th>\n",
       "      <th>Profit</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>JL</td>\n",
       "      <td>Justice League</td>\n",
       "      <td>300</td>\n",
       "      <td>229</td>\n",
       "      <td>-71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>FotF</td>\n",
       "      <td>The Fate of the Furious</td>\n",
       "      <td>250</td>\n",
       "      <td>226</td>\n",
       "      <td>-24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>BatB</td>\n",
       "      <td>Beauty and the Beast</td>\n",
       "      <td>231</td>\n",
       "      <td>717</td>\n",
       "      <td>486</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Split</td>\n",
       "      <td>Split</td>\n",
       "      <td>5</td>\n",
       "      <td>110</td>\n",
       "      <td>105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>GO</td>\n",
       "      <td>Get Out</td>\n",
       "      <td>5</td>\n",
       "      <td>90</td>\n",
       "      <td>85</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      ID                    Movie  COSTS(Million_USD)  REVENUE(Million_USD)  \\\n",
       "0     JL           Justice League                 300                   229   \n",
       "1   FotF  The Fate of the Furious                 250                   226   \n",
       "2   BatB     Beauty and the Beast                 231                   717   \n",
       "3  Split                    Split                   5                   110   \n",
       "4     GO                  Get Out                   5                    90   \n",
       "\n",
       "   Profit  \n",
       "0     -71  \n",
       "1     -24  \n",
       "2     486  \n",
       "3     105  \n",
       "4      85  "
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Add a new column to Pandas Dataframe\n",
    "df['Profit']=np.nan\n",
    "\n",
    "# Evaluate the Profit Margin for each Movie\n",
    "\n",
    "revenues=df[\"REVENUE(Million_USD)\"].values\n",
    "revenues\n",
    "costs=df[\"COSTS(Million_USD)\"].values\n",
    "costs\n",
    "\n",
    "profits=revenues-costs\n",
    "profits\n",
    "\n",
    "df[\"Profit\"]=profits\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ID</th>\n",
       "      <th>Movie</th>\n",
       "      <th>COSTS(Million_USD)</th>\n",
       "      <th>REVENUE(Million_USD)</th>\n",
       "      <th>Profit</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>It</td>\n",
       "      <td>It</td>\n",
       "      <td>35</td>\n",
       "      <td>695</td>\n",
       "      <td>660</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>BatB</td>\n",
       "      <td>Beauty and the Beast</td>\n",
       "      <td>231</td>\n",
       "      <td>717</td>\n",
       "      <td>486</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>SW:TLJ</td>\n",
       "      <td>Star Wars: The Last Jedi</td>\n",
       "      <td>250</td>\n",
       "      <td>620</td>\n",
       "      <td>370</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>WW</td>\n",
       "      <td>Wonder Woman</td>\n",
       "      <td>120</td>\n",
       "      <td>413</td>\n",
       "      <td>293</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Wonder</td>\n",
       "      <td>Wonder</td>\n",
       "      <td>20</td>\n",
       "      <td>155</td>\n",
       "      <td>135</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>GT</td>\n",
       "      <td>Girls Trip</td>\n",
       "      <td>19</td>\n",
       "      <td>138</td>\n",
       "      <td>119</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Split</td>\n",
       "      <td>Split</td>\n",
       "      <td>5</td>\n",
       "      <td>110</td>\n",
       "      <td>105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>GO</td>\n",
       "      <td>Get Out</td>\n",
       "      <td>5</td>\n",
       "      <td>90</td>\n",
       "      <td>85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>DT</td>\n",
       "      <td>The Dark Tower</td>\n",
       "      <td>60</td>\n",
       "      <td>51</td>\n",
       "      <td>-9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>FotF</td>\n",
       "      <td>The Fate of the Furious</td>\n",
       "      <td>250</td>\n",
       "      <td>226</td>\n",
       "      <td>-24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>JL</td>\n",
       "      <td>Justice League</td>\n",
       "      <td>300</td>\n",
       "      <td>229</td>\n",
       "      <td>-71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>VatCoaTP</td>\n",
       "      <td>Valerian and the City of a Thousand Planets</td>\n",
       "      <td>202</td>\n",
       "      <td>118</td>\n",
       "      <td>-84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Geostorm</td>\n",
       "      <td>Geostorm</td>\n",
       "      <td>120</td>\n",
       "      <td>33</td>\n",
       "      <td>-87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Promise</td>\n",
       "      <td>The Promise</td>\n",
       "      <td>100</td>\n",
       "      <td>6</td>\n",
       "      <td>-94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>MT</td>\n",
       "      <td>Monster Trucks</td>\n",
       "      <td>149</td>\n",
       "      <td>40</td>\n",
       "      <td>-109</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>KA:LotS</td>\n",
       "      <td>King Arthur: Legend of the Sword</td>\n",
       "      <td>200</td>\n",
       "      <td>84</td>\n",
       "      <td>-116</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          ID                                        Movie  COSTS(Million_USD)  \\\n",
       "12        It                                           It                  35   \n",
       "2       BatB                         Beauty and the Beast                 231   \n",
       "15    SW:TLJ                     Star Wars: The Last Jedi                 250   \n",
       "9         WW                                 Wonder Woman                 120   \n",
       "11    Wonder                                       Wonder                  20   \n",
       "10        GT                                   Girls Trip                  19   \n",
       "3      Split                                        Split                   5   \n",
       "4         GO                                      Get Out                   5   \n",
       "13        DT                               The Dark Tower                  60   \n",
       "1       FotF                      The Fate of the Furious                 250   \n",
       "0         JL                               Justice League                 300   \n",
       "8   VatCoaTP  Valerian and the City of a Thousand Planets                 202   \n",
       "14  Geostorm                                     Geostorm                 120   \n",
       "7    Promise                                  The Promise                 100   \n",
       "6         MT                               Monster Trucks                 149   \n",
       "5    KA:LotS             King Arthur: Legend of the Sword                 200   \n",
       "\n",
       "    REVENUE(Million_USD)  Profit  \n",
       "12                   695     660  \n",
       "2                    717     486  \n",
       "15                   620     370  \n",
       "9                    413     293  \n",
       "11                   155     135  \n",
       "10                   138     119  \n",
       "3                    110     105  \n",
       "4                     90      85  \n",
       "13                    51      -9  \n",
       "1                    226     -24  \n",
       "0                    229     -71  \n",
       "8                    118     -84  \n",
       "14                    33     -87  \n",
       "7                      6     -94  \n",
       "6                     40    -109  \n",
       "5                     84    -116  "
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# sort data by counts and separate into lists\n",
    "sorted_df= df.sort_values(by=[\"Profit\"], ascending=False)\n",
    "sorted_df\n",
    "\n",
    "names_list  = sorted_df[\"ID\"].values\n",
    "values_list = sorted_df[\"Profit\"].values\n",
    "names=[i for i in names_list]\n",
    "values=[i for i in values_list]\n",
    "name_codes=[i for i in range(0,len(names))]\n",
    "\n",
    "sorted_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#map codes to labels, and rotate the text\n",
    "plt.bar(name_codes, values, align='center')\n",
    "plt.xticks(name_codes,names,rotation=90)\n",
    "plt.suptitle(\"Box Office Data in USA\", fontsize = 18)\n",
    "plt.xlabel(\"Movies\")\n",
    "plt.ylabel(\"Profit Margin\")\n",
    "plt.tight_layout()\n",
    "plt.subplots_adjust(top=0.85)\n",
    "plt.savefig('barplot.png',dpi=300)\n",
    "plt.show()\n",
    "plt.close()"
   ]
  }
 ],
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