W266 Final Project.ipynb

{
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  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## W266 Final Project"
   ]
  },
  {
   "cell_type": "code",
<<<<<<< HEAD
   "execution_count": 2,
   "metadata": {},
=======
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
>>>>>>> b7d5cd08fcab4b60e607953183ef1653d2311336
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import re\n",
    "import glob #this makes a list of all the files in a directory\n",
    "from pandasql import sqldf\n",
    "pysqldf = lambda q: sqldf(q, globals())\n",
    "from sklearn.model_selection import train_test_split, cross_val_score\n",
    "from sklearn.utils import shuffle\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.naive_bayes import BernoulliNB\n",
    "from sklearn.metrics import confusion_matrix\n",
    "from sklearn import metrics\n",
    "from sklearn.metrics import classification_report\n",
    "from sklearn.feature_extraction.text import *"
   ]
  },
  {
   "cell_type": "code",
<<<<<<< HEAD
   "execution_count": 3,
   "metadata": {},
=======
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
>>>>>>> b7d5cd08fcab4b60e607953183ef1653d2311336
   "outputs": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>FilePath</th>\n",
       "      <th>Genre</th>\n",
       "      <th>Title</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>./data/imsdb_scenes_dialogs_nov_2015/dialogs/A...</td>\n",
       "      <td>Action</td>\n",
       "      <td>15minutes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>./data/imsdb_scenes_dialogs_nov_2015/dialogs/A...</td>\n",
       "      <td>Action</td>\n",
       "      <td>2012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>./data/imsdb_scenes_dialogs_nov_2015/dialogs/A...</td>\n",
       "      <td>Action</td>\n",
       "      <td>30minutesorless</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>./data/imsdb_scenes_dialogs_nov_2015/dialogs/A...</td>\n",
       "      <td>Action</td>\n",
       "      <td>48hrs</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>./data/imsdb_scenes_dialogs_nov_2015/dialogs/A...</td>\n",
       "      <td>Action</td>\n",
       "      <td>abovethelaw</td>\n",
       "    </tr>\n",
<<<<<<< HEAD
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>./data/imsdb_scenes_dialogs_nov_2015/dialogs/A...</td>\n",
       "      <td>Action</td>\n",
       "      <td>abyssthe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>./data/imsdb_scenes_dialogs_nov_2015/dialogs/A...</td>\n",
       "      <td>Action</td>\n",
       "      <td>airforceone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>./data/imsdb_scenes_dialogs_nov_2015/dialogs/A...</td>\n",
       "      <td>Action</td>\n",
       "      <td>alien3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>./data/imsdb_scenes_dialogs_nov_2015/dialogs/A...</td>\n",
       "      <td>Action</td>\n",
       "      <td>alien</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>./data/imsdb_scenes_dialogs_nov_2015/dialogs/A...</td>\n",
       "      <td>Action</td>\n",
       "      <td>aliens</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>./data/imsdb_scenes_dialogs_nov_2015/dialogs/A...</td>\n",
       "      <td>Action</td>\n",
       "      <td>aloneinthedark</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>./data/imsdb_scenes_dialogs_nov_2015/dialogs/A...</td>\n",
       "      <td>Action</td>\n",
       "      <td>americanshaolinkingofkickboxersii</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>./data/imsdb_scenes_dialogs_nov_2015/dialogs/A...</td>\n",
       "      <td>Action</td>\n",
       "      <td>apocalypsenow</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>./data/imsdb_scenes_dialogs_nov_2015/dialogs/A...</td>\n",
       "      <td>Action</td>\n",
       "      <td>arcticblue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>./data/imsdb_scenes_dialogs_nov_2015/dialogs/A...</td>\n",
       "      <td>Action</td>\n",
       "      <td>armyofdarkness</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>./data/imsdb_scenes_dialogs_nov_2015/dialogs/A...</td>\n",
       "      <td>Action</td>\n",
       "      <td>assassins</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>./data/imsdb_scenes_dialogs_nov_2015/dialogs/A...</td>\n",
       "      <td>Action</td>\n",
       "      <td>austinpowersinternationalmanofmystery</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>./data/imsdb_scenes_dialogs_nov_2015/dialogs/A...</td>\n",
       "      <td>Action</td>\n",
       "      <td>austinpowersthespywhoshaggedme</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>./data/imsdb_scenes_dialogs_nov_2015/dialogs/A...</td>\n",
       "      <td>Action</td>\n",
       "      <td>avatar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>./data/imsdb_scenes_dialogs_nov_2015/dialogs/A...</td>\n",
       "      <td>Action</td>\n",
       "      <td>avengersthe2012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>./data/imsdb_scenes_dialogs_nov_2015/dialogs/A...</td>\n",
       "      <td>Action</td>\n",
       "      <td>avengersthe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>./data/imsdb_scenes_dialogs_nov_2015/dialogs/A...</td>\n",
       "      <td>Action</td>\n",
       "      <td>backdraft</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>./data/imsdb_scenes_dialogs_nov_2015/dialogs/A...</td>\n",
       "      <td>Action</td>\n",
       "      <td>badboys</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>./data/imsdb_scenes_dialogs_nov_2015/dialogs/A...</td>\n",
       "      <td>Action</td>\n",
       "      <td>badcountry</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>./data/imsdb_scenes_dialogs_nov_2015/dialogs/A...</td>\n",
       "      <td>Action</td>\n",
       "      <td>batman2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>./data/imsdb_scenes_dialogs_nov_2015/dialogs/A...</td>\n",
       "      <td>Action</td>\n",
       "      <td>batman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>./data/imsdb_scenes_dialogs_nov_2015/dialogs/A...</td>\n",
       "      <td>Action</td>\n",
       "      <td>blackrain</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>./data/imsdb_scenes_dialogs_nov_2015/dialogs/A...</td>\n",
       "      <td>Action</td>\n",
       "      <td>blade</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>./data/imsdb_scenes_dialogs_nov_2015/dialogs/A...</td>\n",
       "      <td>Action</td>\n",
       "      <td>bladeii</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>./data/imsdb_scenes_dialogs_nov_2015/dialogs/A...</td>\n",
       "      <td>Action</td>\n",
       "      <td>bladerunner</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2468</th>\n",
       "      <td>./data/imsdb_scenes_dialogs_nov_2015/dialogs/W...</td>\n",
       "      <td>War</td>\n",
       "      <td>coriolanus</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2469</th>\n",
       "      <td>./data/imsdb_scenes_dialogs_nov_2015/dialogs/W...</td>\n",
       "      <td>War</td>\n",
       "      <td>deerhunterthe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2470</th>\n",
       "      <td>./data/imsdb_scenes_dialogs_nov_2015/dialogs/W...</td>\n",
       "      <td>War</td>\n",
       "      <td>fromheretoeternity</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2471</th>\n",
       "      <td>./data/imsdb_scenes_dialogs_nov_2015/dialogs/W...</td>\n",
       "      <td>War</td>\n",
       "      <td>hotelrwanda</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2472</th>\n",
       "      <td>./data/imsdb_scenes_dialogs_nov_2015/dialogs/W...</td>\n",
       "      <td>War</td>\n",
       "      <td>lastofthemohicansthe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2473</th>\n",
       "      <td>./data/imsdb_scenes_dialogs_nov_2015/dialogs/W...</td>\n",
       "      <td>War</td>\n",
       "      <td>lastsamuraithe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2474</th>\n",
       "      <td>./data/imsdb_scenes_dialogs_nov_2015/dialogs/W...</td>\n",
       "      <td>War</td>\n",
       "      <td>menwhostareatgoatsthe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2475</th>\n",
       "      <td>./data/imsdb_scenes_dialogs_nov_2015/dialogs/W...</td>\n",
       "      <td>War</td>\n",
       "      <td>patriotthe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2476</th>\n",
       "      <td>./data/imsdb_scenes_dialogs_nov_2015/dialogs/W...</td>\n",
       "      <td>War</td>\n",
       "      <td>pearlharbor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2477</th>\n",
       "      <td>./data/imsdb_scenes_dialogs_nov_2015/dialogs/W...</td>\n",
       "      <td>War</td>\n",
       "      <td>pianistthe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2478</th>\n",
       "      <td>./data/imsdb_scenes_dialogs_nov_2015/dialogs/W...</td>\n",
       "      <td>War</td>\n",
       "      <td>platoon</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2479</th>\n",
       "      <td>./data/imsdb_scenes_dialogs_nov_2015/dialogs/W...</td>\n",
       "      <td>War</td>\n",
       "      <td>savingprivateryan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2480</th>\n",
       "      <td>./data/imsdb_scenes_dialogs_nov_2015/dialogs/W...</td>\n",
       "      <td>War</td>\n",
       "      <td>schindlerslist</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2481</th>\n",
       "      <td>./data/imsdb_scenes_dialogs_nov_2015/dialogs/W...</td>\n",
       "      <td>War</td>\n",
       "      <td>threekings</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2482</th>\n",
       "      <td>./data/imsdb_scenes_dialogs_nov_2015/dialogs/W...</td>\n",
       "      <td>War</td>\n",
       "      <td>threekingsspoilsofwar</td>\n",
=======
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      ],
      "text/plain": [
       "                                            FilePath   Genre             Title\n",
       "0  ./data/imsdb_scenes_dialogs_nov_2015/dialogs/H...  Horror     redridinghood\n",
       "1  ./data/imsdb_scenes_dialogs_nov_2015/dialogs/H...  Horror     aprilfoolsday\n",
       "2  ./data/imsdb_scenes_dialogs_nov_2015/dialogs/H...  Horror         hollowman\n",
       "3  ./data/imsdb_scenes_dialogs_nov_2015/dialogs/H...  Horror  queenofthedamned\n",
       "4  ./data/imsdb_scenes_dialogs_nov_2015/dialogs/H...  Horror         grudgethe"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "files_list = glob.glob(\"./data/imsdb_scenes_dialogs_nov_2015/dialogs/*/*_dialog.txt\")\n",
    "\n",
    "file_array = np.array(files_list)\n",
    "files = pd.DataFrame(file_array.reshape(-1,1), columns=[\"FilePath\"])\n",
    "\n",
    "title_list = []\n",
    "genre_list = []\n",
    "for i in files.index:\n",
    "    genretitle = files['FilePath'][i][45:] #get rid of all the ./data/imsdb...\n",
    "    a, b = genretitle.split(\"/\")\n",
    "    genre_list.append(a)\n",
    "    title_list.append(b[:-11]) #take off '_dialog.txt' from the file name\n",
    "    \n",
    "    \n",
    "files['Genre']=genre_list\n",
    "files['Title']=title_list\n",
    "\n",
    "files.head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
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   "outputs": [
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>>>>>>> 8b509ff3c0508395cbe57aa3c85d921295105975
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       "      <th>2483</th>\n",
       "      <td>./data/imsdb_scenes_dialogs_nov_2015/dialogs/W...</td>\n",
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       "      <td>Western</td>\n",
       "      <td>bookofelithe</td>\n",
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       "      <th>2487</th>\n",
       "      <td>./data/imsdb_scenes_dialogs_nov_2015/dialogs/W...</td>\n",
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       "    <tr>\n",
       "      <th>2488</th>\n",
       "      <td>./data/imsdb_scenes_dialogs_nov_2015/dialogs/W...</td>\n",
       "      <td>Western</td>\n",
       "      <td>djangounchained</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2489</th>\n",
       "      <td>./data/imsdb_scenes_dialogs_nov_2015/dialogs/W...</td>\n",
       "      <td>Western</td>\n",
       "      <td>mariachiel</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2490</th>\n",
       "      <td>./data/imsdb_scenes_dialogs_nov_2015/dialogs/W...</td>\n",
       "      <td>Western</td>\n",
       "      <td>roughshod</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2491</th>\n",
       "      <td>./data/imsdb_scenes_dialogs_nov_2015/dialogs/W...</td>\n",
       "      <td>Western</td>\n",
       "      <td>searchersthe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2492</th>\n",
       "      <td>./data/imsdb_scenes_dialogs_nov_2015/dialogs/W...</td>\n",
       "      <td>Western</td>\n",
       "      <td>stationwest</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2493</th>\n",
       "      <td>./data/imsdb_scenes_dialogs_nov_2015/dialogs/W...</td>\n",
       "      <td>Western</td>\n",
       "      <td>tallinthesaddle</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2494</th>\n",
       "      <td>./data/imsdb_scenes_dialogs_nov_2015/dialogs/W...</td>\n",
       "      <td>Western</td>\n",
       "      <td>tombstone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2495</th>\n",
       "      <td>./data/imsdb_scenes_dialogs_nov_2015/dialogs/W...</td>\n",
       "      <td>Western</td>\n",
       "      <td>truegrit</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2496</th>\n",
       "      <td>./data/imsdb_scenes_dialogs_nov_2015/dialogs/W...</td>\n",
       "      <td>Western</td>\n",
       "      <td>wildbunchthe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2497</th>\n",
       "      <td>./data/imsdb_scenes_dialogs_nov_2015/dialogs/W...</td>\n",
       "      <td>Western</td>\n",
       "      <td>wildwildwest</td>\n",
=======
       "      <th>0</th>\n",
       "      <td>AVATAR</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Written by</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>James Cameron</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>VOICE (V.O.)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>When I was lying there in the VA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>hospital, with a big hole blown through</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>the middle of my life, I started having</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>these dreams of flying.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>VOICE (V.O.)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Sooner or later though, you always have</td>\n",
       "    </tr>\n",
<<<<<<< HEAD
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>to wake up...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>CUT TO:</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>JAKE (V.O.)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>They can fix a spinal, if you've got the</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>money. But not on vet benefits, not in</td>\n",
>>>>>>> 8b509ff3c0508395cbe57aa3c85d921295105975
       "    </tr>\n",
=======
>>>>>>> b7d5cd08fcab4b60e607953183ef1653d2311336
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
<<<<<<< HEAD
<<<<<<< HEAD
       "                                               FilePath    Genre  \\\n",
       "0     ./data/imsdb_scenes_dialogs_nov_2015/dialogs/A...   Action   \n",
       "1     ./data/imsdb_scenes_dialogs_nov_2015/dialogs/A...   Action   \n",
       "2     ./data/imsdb_scenes_dialogs_nov_2015/dialogs/A...   Action   \n",
       "3     ./data/imsdb_scenes_dialogs_nov_2015/dialogs/A...   Action   \n",
       "4     ./data/imsdb_scenes_dialogs_nov_2015/dialogs/A...   Action   \n",
       "5     ./data/imsdb_scenes_dialogs_nov_2015/dialogs/A...   Action   \n",
       "6     ./data/imsdb_scenes_dialogs_nov_2015/dialogs/A...   Action   \n",
       "7     ./data/imsdb_scenes_dialogs_nov_2015/dialogs/A...   Action   \n",
       "8     ./data/imsdb_scenes_dialogs_nov_2015/dialogs/A...   Action   \n",
       "9     ./data/imsdb_scenes_dialogs_nov_2015/dialogs/A...   Action   \n",
       "10    ./data/imsdb_scenes_dialogs_nov_2015/dialogs/A...   Action   \n",
       "11    ./data/imsdb_scenes_dialogs_nov_2015/dialogs/A...   Action   \n",
       "12    ./data/imsdb_scenes_dialogs_nov_2015/dialogs/A...   Action   \n",
       "13    ./data/imsdb_scenes_dialogs_nov_2015/dialogs/A...   Action   \n",
       "14    ./data/imsdb_scenes_dialogs_nov_2015/dialogs/A...   Action   \n",
       "15    ./data/imsdb_scenes_dialogs_nov_2015/dialogs/A...   Action   \n",
       "16    ./data/imsdb_scenes_dialogs_nov_2015/dialogs/A...   Action   \n",
       "17    ./data/imsdb_scenes_dialogs_nov_2015/dialogs/A...   Action   \n",
       "18    ./data/imsdb_scenes_dialogs_nov_2015/dialogs/A...   Action   \n",
       "19    ./data/imsdb_scenes_dialogs_nov_2015/dialogs/A...   Action   \n",
       "20    ./data/imsdb_scenes_dialogs_nov_2015/dialogs/A...   Action   \n",
       "21    ./data/imsdb_scenes_dialogs_nov_2015/dialogs/A...   Action   \n",
       "22    ./data/imsdb_scenes_dialogs_nov_2015/dialogs/A...   Action   \n",
       "23    ./data/imsdb_scenes_dialogs_nov_2015/dialogs/A...   Action   \n",
       "24    ./data/imsdb_scenes_dialogs_nov_2015/dialogs/A...   Action   \n",
       "25    ./data/imsdb_scenes_dialogs_nov_2015/dialogs/A...   Action   \n",
       "26    ./data/imsdb_scenes_dialogs_nov_2015/dialogs/A...   Action   \n",
       "27    ./data/imsdb_scenes_dialogs_nov_2015/dialogs/A...   Action   \n",
       "28    ./data/imsdb_scenes_dialogs_nov_2015/dialogs/A...   Action   \n",
       "29    ./data/imsdb_scenes_dialogs_nov_2015/dialogs/A...   Action   \n",
       "...                                                 ...      ...   \n",
       "2468  ./data/imsdb_scenes_dialogs_nov_2015/dialogs/W...      War   \n",
       "2469  ./data/imsdb_scenes_dialogs_nov_2015/dialogs/W...      War   \n",
       "2470  ./data/imsdb_scenes_dialogs_nov_2015/dialogs/W...      War   \n",
       "2471  ./data/imsdb_scenes_dialogs_nov_2015/dialogs/W...      War   \n",
       "2472  ./data/imsdb_scenes_dialogs_nov_2015/dialogs/W...      War   \n",
       "2473  ./data/imsdb_scenes_dialogs_nov_2015/dialogs/W...      War   \n",
       "2474  ./data/imsdb_scenes_dialogs_nov_2015/dialogs/W...      War   \n",
       "2475  ./data/imsdb_scenes_dialogs_nov_2015/dialogs/W...      War   \n",
       "2476  ./data/imsdb_scenes_dialogs_nov_2015/dialogs/W...      War   \n",
       "2477  ./data/imsdb_scenes_dialogs_nov_2015/dialogs/W...      War   \n",
       "2478  ./data/imsdb_scenes_dialogs_nov_2015/dialogs/W...      War   \n",
       "2479  ./data/imsdb_scenes_dialogs_nov_2015/dialogs/W...      War   \n",
       "2480  ./data/imsdb_scenes_dialogs_nov_2015/dialogs/W...      War   \n",
       "2481  ./data/imsdb_scenes_dialogs_nov_2015/dialogs/W...      War   \n",
       "2482  ./data/imsdb_scenes_dialogs_nov_2015/dialogs/W...      War   \n",
       "2483  ./data/imsdb_scenes_dialogs_nov_2015/dialogs/W...      War   \n",
       "2484  ./data/imsdb_scenes_dialogs_nov_2015/dialogs/W...      War   \n",
       "2485  ./data/imsdb_scenes_dialogs_nov_2015/dialogs/W...  Western   \n",
       "2486  ./data/imsdb_scenes_dialogs_nov_2015/dialogs/W...  Western   \n",
       "2487  ./data/imsdb_scenes_dialogs_nov_2015/dialogs/W...  Western   \n",
       "2488  ./data/imsdb_scenes_dialogs_nov_2015/dialogs/W...  Western   \n",
       "2489  ./data/imsdb_scenes_dialogs_nov_2015/dialogs/W...  Western   \n",
       "2490  ./data/imsdb_scenes_dialogs_nov_2015/dialogs/W...  Western   \n",
       "2491  ./data/imsdb_scenes_dialogs_nov_2015/dialogs/W...  Western   \n",
       "2492  ./data/imsdb_scenes_dialogs_nov_2015/dialogs/W...  Western   \n",
       "2493  ./data/imsdb_scenes_dialogs_nov_2015/dialogs/W...  Western   \n",
       "2494  ./data/imsdb_scenes_dialogs_nov_2015/dialogs/W...  Western   \n",
       "2495  ./data/imsdb_scenes_dialogs_nov_2015/dialogs/W...  Western   \n",
       "2496  ./data/imsdb_scenes_dialogs_nov_2015/dialogs/W...  Western   \n",
       "2497  ./data/imsdb_scenes_dialogs_nov_2015/dialogs/W...  Western   \n",
       "\n",
       "                                      Title  \n",
       "0                                 15minutes  \n",
       "1                                      2012  \n",
       "2                           30minutesorless  \n",
       "3                                     48hrs  \n",
       "4                               abovethelaw  \n",
       "5                                  abyssthe  \n",
       "6                               airforceone  \n",
       "7                                    alien3  \n",
       "8                                     alien  \n",
       "9                                    aliens  \n",
       "10                           aloneinthedark  \n",
       "11        americanshaolinkingofkickboxersii  \n",
       "12                            apocalypsenow  \n",
       "13                               arcticblue  \n",
       "14                           armyofdarkness  \n",
       "15                                assassins  \n",
       "16    austinpowersinternationalmanofmystery  \n",
       "17           austinpowersthespywhoshaggedme  \n",
       "18                                   avatar  \n",
       "19                          avengersthe2012  \n",
       "20                              avengersthe  \n",
       "21                                backdraft  \n",
       "22                                  badboys  \n",
       "23                               badcountry  \n",
       "24                                  batman2  \n",
       "25                                   batman  \n",
       "26                                blackrain  \n",
       "27                                    blade  \n",
       "28                                  bladeii  \n",
       "29                              bladerunner  \n",
       "...                                     ...  \n",
       "2468                             coriolanus  \n",
       "2469                          deerhunterthe  \n",
       "2470                     fromheretoeternity  \n",
       "2471                            hotelrwanda  \n",
       "2472                   lastofthemohicansthe  \n",
       "2473                         lastsamuraithe  \n",
       "2474                  menwhostareatgoatsthe  \n",
       "2475                             patriotthe  \n",
       "2476                            pearlharbor  \n",
       "2477                             pianistthe  \n",
       "2478                                platoon  \n",
       "2479                      savingprivateryan  \n",
       "2480                         schindlerslist  \n",
       "2481                             threekings  \n",
       "2482                  threekingsspoilsofwar  \n",
       "2483                               valkyrie  \n",
       "2484                               warhorse  \n",
       "2485                      baddayatblackrock  \n",
       "2486                           bookofelithe  \n",
       "2487                       danceswithwolves  \n",
       "2488                        djangounchained  \n",
       "2489                             mariachiel  \n",
       "2490                              roughshod  \n",
       "2491                           searchersthe  \n",
       "2492                            stationwest  \n",
       "2493                        tallinthesaddle  \n",
       "2494                              tombstone  \n",
       "2495                               truegrit  \n",
       "2496                           wildbunchthe  \n",
       "2497                           wildwildwest  \n",
       "\n",
       "[2498 rows x 3 columns]"
=======
       "                                     RawLine\n",
       "0                                     AVATAR\n",
       "1                                 Written by\n",
       "2                              James Cameron\n",
       "3                               VOICE (V.O.)\n",
       "4           When I was lying there in the VA\n",
       "5    hospital, with a big hole blown through\n",
       "6    the middle of my life, I started having\n",
       "7                    these dreams of flying.\n",
       "8                               VOICE (V.O.)\n",
       "9    Sooner or later though, you always have\n",
       "10                             to wake up...\n",
       "11                                   CUT TO:\n",
       "12                               JAKE (V.O.)\n",
       "13  They can fix a spinal, if you've got the\n",
       "14    money. But not on vet benefits, not in"
>>>>>>> 8b509ff3c0508395cbe57aa3c85d921295105975
=======
       "                                   RawLine\n",
       "0                                   AVATAR\n",
       "1                               Written by\n",
       "2                            James Cameron\n",
       "3                             VOICE (V.O.)\n",
       "4         When I was lying there in the VA\n",
       "5  hospital, with a big hole blown through\n",
       "6  the middle of my life, I started having\n",
       "7                  these dreams of flying.\n",
       "8                             VOICE (V.O.)\n",
       "9  Sooner or later though, you always have"
>>>>>>> b7d5cd08fcab4b60e607953183ef1653d2311336
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movie1 = pd.read_fwf('./data/imsdb_scenes_dialogs_nov_2015/dialogs/Adventure/avatar_dialog.txt',\n",
    "                    header=None, names=[\"RawLine\"],encoding='utf')\n",
    "movie2 = pd.read_fwf('./data/imsdb_scenes_dialogs_nov_2015/dialogs/Adventure/1492conquestofparadise_dialog.txt',\n",
    "                    header=None, names=[\"RawLine\"],encoding='utf')\n",
    "movie1.head(n=10)\n",
    "### suggestion: always read in movies as UTF-8 so we don't have weird “&amp;amp;”  instead of &"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
<<<<<<< HEAD
   "metadata": {},
=======
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
>>>>>>> 8b509ff3c0508395cbe57aa3c85d921295105975
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>RawLine</th>\n",
       "      <th>Title</th>\n",
       "      <th>Genre</th>\n",
       "      <th>Char</th>\n",
       "      <th>LineID</th>\n",
       "      <th>Speech</th>\n",
       "      <th>pkey</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AVATAR</td>\n",
       "      <td>avatar</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>AVATAR</td>\n",
       "      <td>1</td>\n",
       "      <td></td>\n",
       "      <td>avatar-avatar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Written by</td>\n",
       "      <td>avatar</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>AVATAR</td>\n",
       "      <td>1</td>\n",
       "      <td>Written by</td>\n",
       "      <td>avatar-avatar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>James Cameron</td>\n",
       "      <td>avatar</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>AVATAR</td>\n",
       "      <td>1</td>\n",
       "      <td>James Cameron</td>\n",
       "      <td>avatar-avatar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>VOICE (V.O.)</td>\n",
       "      <td>avatar</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>VOICE</td>\n",
       "      <td>2</td>\n",
       "      <td></td>\n",
       "      <td>voice-avatar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>When I was lying there in the VA</td>\n",
       "      <td>avatar</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>VOICE</td>\n",
       "      <td>2</td>\n",
       "      <td>When I was lying there in the VA</td>\n",
       "      <td>voice-avatar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>hospital, with a big hole blown through</td>\n",
       "      <td>avatar</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>VOICE</td>\n",
       "      <td>2</td>\n",
       "      <td>hospital, with a big hole blown through</td>\n",
       "      <td>voice-avatar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>the middle of my life, I started having</td>\n",
       "      <td>avatar</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>VOICE</td>\n",
       "      <td>2</td>\n",
       "      <td>the middle of my life, I started having</td>\n",
       "      <td>voice-avatar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>these dreams of flying.</td>\n",
       "      <td>avatar</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>VOICE</td>\n",
       "      <td>2</td>\n",
       "      <td>these dreams of flying.</td>\n",
       "      <td>voice-avatar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>VOICE (V.O.)</td>\n",
       "      <td>avatar</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>VOICE</td>\n",
       "      <td>3</td>\n",
       "      <td></td>\n",
       "      <td>voice-avatar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Sooner or later though, you always have</td>\n",
       "      <td>avatar</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>VOICE</td>\n",
       "      <td>3</td>\n",
       "      <td>Sooner or later though, you always have</td>\n",
       "      <td>voice-avatar</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                   RawLine   Title      Genre    Char  LineID  \\\n",
       "0                                   AVATAR  avatar  Adventure  AVATAR       1   \n",
       "1                               Written by  avatar  Adventure  AVATAR       1   \n",
       "2                            James Cameron  avatar  Adventure  AVATAR       1   \n",
       "3                             VOICE (V.O.)  avatar  Adventure   VOICE       2   \n",
       "4         When I was lying there in the VA  avatar  Adventure   VOICE       2   \n",
       "5  hospital, with a big hole blown through  avatar  Adventure   VOICE       2   \n",
       "6  the middle of my life, I started having  avatar  Adventure   VOICE       2   \n",
       "7                  these dreams of flying.  avatar  Adventure   VOICE       2   \n",
       "8                             VOICE (V.O.)  avatar  Adventure   VOICE       3   \n",
       "9  Sooner or later though, you always have  avatar  Adventure   VOICE       3   \n",
       "\n",
       "                                    Speech           pkey  \n",
       "0                                           avatar-avatar  \n",
       "1                               Written by  avatar-avatar  \n",
       "2                            James Cameron  avatar-avatar  \n",
       "3                                            voice-avatar  \n",
       "4         When I was lying there in the VA   voice-avatar  \n",
       "5  hospital, with a big hole blown through   voice-avatar  \n",
       "6  the middle of my life, I started having   voice-avatar  \n",
       "7                  these dreams of flying.   voice-avatar  \n",
       "8                                            voice-avatar  \n",
       "9  Sooner or later though, you always have   voice-avatar  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
<<<<<<< HEAD
    "movie1 = pd.read_fwf('./data/imsdb_scenes_dialogs_nov_2015/dialogs/Adventure/avatar_dialog.txt',\n",
    "                    header=None, names=[\"RawLine\"],encoding='utf')\n",
    "movie2 = pd.read_fwf('./data/imsdb_scenes_dialogs_nov_2015/dialogs/Adventure/1492conquestofparadise_dialog.txt',\n",
    "                    header=None, names=[\"RawLine\"],encoding='utf')\n",
    "movie3= pd.read_fwf('./data/imsdb_scenes_dialogs_nov_2015/dialogs/Adventure/antz_dialog.txt',\n",
    "                   header=None, names=[\"RawLine\"],encoding='utf')\n",
    "movie3.head(n=15)\n",
    "### suggestion: always read in movies as UTF-8 so we don't have weird “&amp;amp;”  instead of &"
   ]
  },
  {
   "cell_type": "code",
<<<<<<< HEAD
   "execution_count": 3,
=======
   "execution_count": 13,
>>>>>>> d53afdacb9ab0d0d21d0d149b4cdb549cfb4e247
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
<<<<<<< HEAD
     "ename": "NameError",
     "evalue": "name 'movie3' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-3-b957619200bc>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m     80\u001b[0m \u001b[0;31m#parse_movie(movie1, 'Adventure', 'avatar')\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     81\u001b[0m \u001b[0;31m#parse_movie(movie2, 'Adventure', '1492conquestofparadise')\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 82\u001b[0;31m \u001b[0mparse_movie\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmovie3\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'Adventure'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'antz'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     83\u001b[0m \u001b[0mmovie3\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mhead\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mn\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m15\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     84\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mNameError\u001b[0m: name 'movie3' is not defined"
     ]
    }
   ],
   "source": [
=======
>>>>>>> 8b509ff3c0508395cbe57aa3c85d921295105975
    "def is_name(string):\n",
    "    string1 = re.sub(r'\\W+', '', re.sub('(V.O.)|CUT TO:','',string))\n",
    "    n = re.match('[A-Z][A-Z]+', string1)\n",
    "    if n: return True\n",
    "    else: return False\n",
    "\n",
    "def is_speech(string):\n",
    "    if not is_name(string):\n",
    "        return True\n",
    "    else: return False\n",
    "\n",
    "def is_cutto(string):\n",
    "    n = re.match('CUT TO', string)\n",
    "    #print n\n",
    "    if n: return True\n",
    "    else: return False\n",
    "    \n",
    "\n",
    "def parse_movie(movie, genre, title):   \n",
    "#   Args:\n",
    "#     movie is a pandas dataframe of the raw movie script input\n",
    "#     genre is the movie genre from the folder it's read in from\n",
    "#     title is the title (file name prior to _dialog.txt)\n",
    "#   Output:\n",
    "#     a dataframe of the form below\n",
    "    curr_char = None\n",
    "    line = 0\n",
    "    title_column=[]\n",
    "    genre_column=[]\n",
    "    char_column=[]\n",
    "    speech_column=[]\n",
    "    line_column=[]\n",
    "    pkey_column=[]\n",
    "    for i in movie.index:\n",
    "        title_column.append(title) \n",
    "        genre_column.append(genre) \n",
    "        current = str(movie['RawLine'][i])\n",
    "        #current = str(current)\n",
    "        #print current\n",
    "        if current.lower() == 'nan':\n",
    "            pass\n",
    "            #print 'stop'\n",
    "\n",
    "        elif is_cutto(current):\n",
    "            char_column.append(\"\")\n",
    "            line_column.append(line)\n",
    "            speech_column.append(\"\")\n",
    "            pkey_column.append(\"\")\n",
    "\n",
    "        elif is_name(current):\n",
    "\n",
    "            #starting a new character. hold onto this name for the next lines\n",
    "            #until you see another new character name\n",
    "            #also try to remove things that are irrelevant to the name \n",
    "            ### nikki edit: add in str.strip() in case voice over left whitespaces\n",
    "            curr_char = re.sub('\\(V.O.\\)|V.O.|\\(O.S.\\)|O.S.|\\(CONT\\'D\\)|CONT\\'D','',current).strip()\n",
    "            char_column.append(curr_char)\n",
    "            pkey_column.append((curr_char+'-'+title).lower().replace(' ', '_'))\n",
    "\n",
    "            line += 1\n",
    "            line_column.append(line)\n",
    "            speech_column.append(\"\")\n",
    "\n",
    "        elif is_speech(current):\n",
    "\n",
    "            char_column.append(curr_char)\n",
    "            line_column.append(line)\n",
    "            speech_column.append(current)\n",
    "            if curr_char is not None:\n",
    "                pkey_column.append((curr_char+'-'+title).lower())\n",
    "                \n",
    "\n",
    "    movie['Title']=title_column\n",
    "    movie['Genre']=genre_column\n",
    "    movie['Char']=char_column\n",
    "    movie['LineID']=line_column\n",
    "    movie['Speech']=speech_column\n",
    "    movie['pkey']=pkey_column\n",
    "\n",
    "    return movie\n",
    "\n",
    "\n",
    "\n",
    "parse_movie(movie1, 'Adventure', 'avatar')\n",
    "movie1.head(n=10)\n",
    "    \n",
    "#Intermediate dataframe should look something like this:\n",
    "\n",
    "#RawLine                                  Title     Genre      Char   LineID     Speech\n",
    "\n",
    "#JAKE (V.O.)                              Avatar    Adventure  JAKE   1 \n",
    "#They can fix a spinal, if you've got the Avatar    Adventure  JAKE   1          They can fix... \n",
    "#money. But not on vet benefits, not in   Avatar    Adventure  JAKE   1          money. But not...\n",
    "\n",
    "\n",
    "#And then we eventually aggregate by LineID to:\n",
    "\n",
    "#Title   Genre      Char  Speech\n",
    "#Avatar  Adventure  JAKE  They can fix a spinal, if you've got the money. But not on vet...\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "JAKE                                       757\n",
       "GRACE                                      434\n",
       "QUARITCH                                   253\n",
       "NEYTIRI                                    186\n",
       "SELFRIDGE                                  137\n",
       "NORM                                       123\n",
       "(SUBTITLED)                                119\n",
       "TRUDY                                       93\n",
       "                                            87\n",
       "MAX                                         69\n",
       "MO'AT                                       63\n",
       "TSU'TEY                                     55\n",
       "WAINFLEET                                   33\n",
       "EYTUKAN                                     18\n",
       "PILOT                                       17\n",
       "MED TECH                                    13\n",
       "CREW CHIEF                                  13\n",
       "TROOPER                                     11\n",
       "JAKE (RECORDED)                             10\n",
       "(QUIETLY)                                    8\n",
       "VOICE                                        8\n",
       "(ANGUISHED)                                  8\n",
       "(MORE)                                       8\n",
       "(WHISPERING)                                 8\n",
       "TRUDY (INTERCOM)                             7\n",
       "GRACE (cont'd)                               7\n",
       "(NA'VI)                                      7\n",
       "DISSOLVE TO:                                 6\n",
       "AGENT 1                                      6\n",
       "OPERATOR                                     6\n",
       "                                          ... \n",
       "(MILDLY)                                     3\n",
       "I See you.                                   2\n",
       "FIKE                                         2\n",
       "PIL                                          2\n",
       "(ICY)                                        2\n",
       "WHAM! Total frickin' yard sale. Ate the      2\n",
       "(PLEADING)                                   2\n",
       "WHOO-HOOOO!                                  2\n",
       "SHOULDER)                                    2\n",
       "MAN                                          2\n",
       "(INNOCENTLY)                                 2\n",
       "(YELLING)                                    2\n",
       "(SOFTENING)                                  2\n",
       "GUNNER                                       2\n",
       "(FRUSTRATED)                                 2\n",
       "I See you, Doctor Grace Augustine.           2\n",
       "(LAUGHING)                                   2\n",
       "AGENT 2                                      2\n",
       "(TURNING)                                    2\n",
       "GUNSHIP PILOT                                2\n",
       "(SHOUTING)                                   2\n",
       "(TRANSLATING)                                2\n",
       "SLOW DISSOLVE TO:                            1\n",
       "I See you, Tsu'tey te Rongloa Ateyitan.      1\n",
       "THEM--                                       1\n",
       "HERE--                                       1\n",
       "NEVER!                                       1\n",
       "TSUTEY                                       1\n",
       "I See you, Jakesully.                        1\n",
       "I See you, Neytiri Mo'at'ite.                1\n",
       "Name: Char, dtype: int64"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movie1['Char'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "### keep only characters with at least 20 lines per movie\n",
    "\n",
    "def top_chars(df, threshold = 20):\n",
    "    threshold = threshold\n",
    "    char_list = pd.DataFrame(df[\"Char\"].value_counts())\n",
    "    to_remove = char_list[char_list['Char'] <= threshold].index\n",
    "    cl1 = char_list.drop(to_remove)\n",
    "    cl1['line_count'] = cl1['Char']\n",
    "    cl1['Char'] = cl1.index\n",
    "    query = 'SELECT d.*, c.line_count FROM df d INNER JOIN cl1 c on d.Char = c.Char'\n",
    "    enriched_df = sqldf(query, locals())\n",
    "    enriched_df = enriched_df[enriched_df['Char'] != '']\n",
    "    return enriched_df\n",
    "\n",
    "def pipeline(df,threshold=20):\n",
    "    ### before top chars, we can add something about a proper title finder\n",
    "    tc = top_chars(df, threshold)\n",
    "    \n",
    "    ### add something about the gender id\n",
    "    ### add something about vocab enrichment\n",
    "    ### output should be called final_df\n",
    "    final_df = tc\n",
    "    return tc\n",
    "    \n",
    "\n",
    "enriched_movie1 = pipeline(movie1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
=======
>>>>>>> d53afdacb9ab0d0d21d0d149b4cdb549cfb4e247
     "data": {
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       "<div>\n",
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       "    .dataframe thead tr:only-child th {\n",
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       "    .dataframe thead th {\n",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>RawLine</th>\n",
       "      <th>Title</th>\n",
       "      <th>Genre</th>\n",
       "      <th>Char</th>\n",
       "      <th>LineID</th>\n",
       "      <th>Speech</th>\n",
       "      <th>pkey</th>\n",
       "      <th>line_count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
<<<<<<< HEAD
       "      <th>0</th>\n",
       "      <td>&lt;b&gt;&lt;!--</td>\n",
       "      <td>1492conquestofparadise</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>&lt;b&gt;&lt;!--</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>&lt;/b&gt;if (window!= top)</td>\n",
       "      <td>1492conquestofparadise</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>&lt;/b&gt;if (window!= top)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>top.location.href=location.href</td>\n",
       "      <td>1492conquestofparadise</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>top.location.href=location.href</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>&lt;b&gt;// --&gt;</td>\n",
       "      <td>1492conquestofparadise</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>&lt;b&gt;// --&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>&lt;/b&gt;</td>\n",
       "      <td>1492conquestofparadise</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>&lt;/b&gt;</td>\n",
=======
       "      <th>1</th>\n",
       "      <td>JAKE (V.O.)</td>\n",
       "      <td>avatar</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>JAKE</td>\n",
       "      <td>4</td>\n",
       "      <td></td>\n",
       "      <td>jake-avatar</td>\n",
       "      <td>757</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>They can fix a spinal, if you've got the</td>\n",
       "      <td>avatar</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>JAKE</td>\n",
       "      <td>4</td>\n",
       "      <td>They can fix a spinal, if you've got the</td>\n",
       "      <td>jake-avatar</td>\n",
       "      <td>757</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>money. But not on vet benefits, not in</td>\n",
       "      <td>avatar</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>JAKE</td>\n",
       "      <td>4</td>\n",
       "      <td>money. But not on vet benefits, not in</td>\n",
       "      <td>jake-avatar</td>\n",
       "      <td>757</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>this economy.</td>\n",
       "      <td>avatar</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>JAKE</td>\n",
       "      <td>4</td>\n",
       "      <td>this economy.</td>\n",
       "      <td>jake-avatar</td>\n",
       "      <td>757</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>JAKE (V.O.)</td>\n",
       "      <td>avatar</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>JAKE</td>\n",
       "      <td>6</td>\n",
       "      <td></td>\n",
       "      <td>jake-avatar</td>\n",
       "      <td>757</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                    RawLine   Title      Genre  Char  LineID  \\\n",
       "1                               JAKE (V.O.)  avatar  Adventure  JAKE       4   \n",
       "2  They can fix a spinal, if you've got the  avatar  Adventure  JAKE       4   \n",
       "3    money. But not on vet benefits, not in  avatar  Adventure  JAKE       4   \n",
       "4                             this economy.  avatar  Adventure  JAKE       4   \n",
       "5                               JAKE (V.O.)  avatar  Adventure  JAKE       6   \n",
       "\n",
       "                                     Speech         pkey  line_count  \n",
       "1                                            jake-avatar         757  \n",
       "2  They can fix a spinal, if you've got the  jake-avatar         757  \n",
       "3    money. But not on vet benefits, not in  jake-avatar         757  \n",
       "4                             this economy.  jake-avatar         757  \n",
       "5                                            jake-avatar         757  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "enriched_movie1.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "JAKE           757\n",
       "GRACE          434\n",
       "QUARITCH       253\n",
       "NEYTIRI        186\n",
       "SELFRIDGE      137\n",
       "NORM           123\n",
       "(SUBTITLED)    119\n",
       "TRUDY           93\n",
       "MAX             69\n",
       "MO'AT           63\n",
       "TSU'TEY         55\n",
       "WAINFLEET       33\n",
       "Name: Char, dtype: int64"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "enriched_movie1['Char'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Western/djangounchained_dialog.txt\n",
      "processing next movie\n",
      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Western/danceswithwolves_dialog.txt\n",
      "processing next movie\n",
      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Western/bookofelithe_dialog.txt\n",
      "processing next movie\n",
      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Western/tombstone_dialog.txt\n",
      "processing next movie\n",
      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Western/mariachiel_dialog.txt\n",
      "processing next movie\n",
      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Western/baddayatblackrock_dialog.txt\n",
      "processing next movie\n",
      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Western/stationwest_dialog.txt\n",
      "processing next movie\n",
      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Western/wildwildwest_dialog.txt\n",
      "processing next movie\n",
      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Western/truegrit_dialog.txt\n",
      "processing next movie\n",
      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Western/wildbunchthe_dialog.txt\n",
      "processing next movie\n",
      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Western/roughshod_dialog.txt\n",
      "processing next movie\n",
      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Western/tallinthesaddle_dialog.txt\n",
      "processing next movie\n",
      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Western/searchersthe_dialog.txt\n",
      "processing next movie\n",
      "[('Western', 'djangounchained'), ('Western', 'bookofelithe'), ('Western', 'tombstone'), ('Western', 'wildwildwest'), ('Western', 'searchersthe')]\n"
     ]
    },
    {
     "data": {
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>>>>>>> b7d5cd08fcab4b60e607953183ef1653d2311336
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<<<<<<< HEAD
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       "      <td>Roselyne Bosch</td>\n",
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       "      <td>REVISED</td>\n",
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       "      <th>10</th>\n",
       "      <td>September 23, 1991</td>\n",
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       "      <td>Adventure</td>\n",
       "      <td>REVISED</td>\n",
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       "      <td>September 23, 1991</td>\n",
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       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>true facts concerning the island of</td>\n",
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       "      <td>Adventure</td>\n",
       "      <td>SANCHEZ</td>\n",
       "      <td>2</td>\n",
       "      <td>true facts concerning the island of</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Hispanola, our first settlement in</td>\n",
       "      <td>1492conquestofparadise</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>SANCHEZ</td>\n",
       "      <td>2</td>\n",
       "      <td>Hispanola, our first settlement in</td>\n",
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       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>the New World, and the activities</td>\n",
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       "      <td>Adventure</td>\n",
       "      <td>SANCHEZ</td>\n",
       "      <td>2</td>\n",
       "      <td>the New World, and the activities</td>\n",
=======
       "      <th>52</th>\n",
       "      <td>PEPPER</td>\n",
       "      <td>Western</td>\n",
       "      <td>danceswithwolves</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156</th>\n",
       "      <td>FAMBROUGH</td>\n",
       "      <td>Western</td>\n",
       "      <td>danceswithwolves</td>\n",
       "      <td>62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>205</th>\n",
       "      <td>CARGILL</td>\n",
       "      <td>Western</td>\n",
       "      <td>danceswithwolves</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>265</th>\n",
       "      <td>TIMMONS</td>\n",
       "      <td>Western</td>\n",
       "      <td>danceswithwolves</td>\n",
       "      <td>46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>997</th>\n",
       "      <td>DUNBAR</td>\n",
       "      <td>Western</td>\n",
       "      <td>danceswithwolves</td>\n",
       "      <td>397</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          Char    Genre             Title  line_count\n",
       "52      PEPPER  Western  danceswithwolves          44\n",
       "156  FAMBROUGH  Western  danceswithwolves          62\n",
       "205    CARGILL  Western  danceswithwolves          21\n",
       "265    TIMMONS  Western  danceswithwolves          46\n",
       "997     DUNBAR  Western  danceswithwolves         397"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "not_working=[]\n",
    "char_list_to_label=[]\n",
    "\n",
    "for i in files_list:\n",
    "    title = i.split('/')[5].split('_')[0]\n",
    "    genre = i.split('/')[4]\n",
    "    if genre=='Western':\n",
    "        print i\n",
    "        #print genre\n",
    "        title = title.strip()\n",
    "        genre = genre.strip()\n",
    "        movie = pd.read_fwf(\"%s\" % i,header=None, names=[\"RawLine\"],encoding='utf')\n",
    "        #print movie\n",
    "        try:\n",
    "            parsed = parse_movie(movie, genre, title)\n",
    "            #print parsed.head()\n",
    "            final_df = pipeline(movie)\n",
    "            char_list = final_df.drop_duplicates(subset='Char',keep='last')[['Char','Genre','Title','line_count']]\n",
    "            char_list_to_label.append(char_list)\n",
    "        except:\n",
    "            not_working.append((genre,title))\n",
    "        #print final_df.head()\n",
    "        print \"processing next movie\"\n",
    "chars= pd.concat(char_list_to_label)\n",
    "#chars.to_csv('OutputWesternCharacters.csv', index=False)\n",
    "print not_working\n",
    "chars.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "M    1116\n",
       "F     599\n",
       "Name: gender, dtype: int64"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gender_labels = pd.read_csv('more_random_sampling.csv',na_values=[\"NA\",\"N\"])\n",
    "gender_labels.head(n=40)\n",
    "\n",
    "gender_labels = gender_labels.dropna(subset=['gender'])\n",
    "gender_labels['gender'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>gender</th>\n",
       "      <th>line_count</th>\n",
       "      <th>pkey</th>\n",
       "      <th>char</th>\n",
       "      <th>genre</th>\n",
>>>>>>> b7d5cd08fcab4b60e607953183ef1653d2311336
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
<<<<<<< HEAD
       "      <th>17</th>\n",
       "      <td>there of your servant, Christopher</td>\n",
       "      <td>1492conquestofparadise</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>SANCHEZ</td>\n",
       "      <td>2</td>\n",
       "      <td>there of your servant, Christopher</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Columbus, Admiral of the Ocean Sea,</td>\n",
       "      <td>1492conquestofparadise</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>SANCHEZ</td>\n",
       "      <td>2</td>\n",
       "      <td>Columbus, Admiral of the Ocean Sea,</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Governor of that Island.  You will</td>\n",
       "      <td>1492conquestofparadise</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>SANCHEZ</td>\n",
       "      <td>2</td>\n",
       "      <td>Governor of that Island.  You will</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>remember with what hopes and</td>\n",
       "      <td>1492conquestofparadise</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>SANCHEZ</td>\n",
       "      <td>2</td>\n",
       "      <td>remember with what hopes and</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>promises he beguiled us -- the truth</td>\n",
       "      <td>1492conquestofparadise</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>SANCHEZ</td>\n",
       "      <td>2</td>\n",
       "      <td>promises he beguiled us -- the truth</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>is that he now presides over a state</td>\n",
       "      <td>1492conquestofparadise</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>SANCHEZ</td>\n",
       "      <td>2</td>\n",
       "      <td>is that he now presides over a state</td>\n",
=======
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>M</td>\n",
       "      <td>58</td>\n",
       "      <td>mickena-assignmentthe</td>\n",
       "      <td>MICKENA</td>\n",
       "      <td>Thriller</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>F</td>\n",
       "      <td>134</td>\n",
       "      <td>carla-assignmentthe</td>\n",
       "      <td>CARLA</td>\n",
       "      <td>Thriller</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>F</td>\n",
       "      <td>65</td>\n",
       "      <td>agnieska-assignmentthe</td>\n",
       "      <td>AGNIESKA</td>\n",
       "      <td>Thriller</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>M</td>\n",
       "      <td>37</td>\n",
       "      <td>koj-assignmentthe</td>\n",
       "      <td>KOJ</td>\n",
       "      <td>Thriller</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>M</td>\n",
       "      <td>366</td>\n",
       "      <td>amos-assignmentthe</td>\n",
       "      <td>AMOS</td>\n",
       "      <td>Thriller</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   id gender  line_count                    pkey      char     genre\n",
       "0   1      M          58   mickena-assignmentthe   MICKENA  Thriller\n",
       "1   2      F         134     carla-assignmentthe     CARLA  Thriller\n",
       "2   3      F          65  agnieska-assignmentthe  AGNIESKA  Thriller\n",
       "3   4      M          37       koj-assignmentthe       KOJ  Thriller\n",
       "4   5      M         366      amos-assignmentthe      AMOS  Thriller"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gender_labels2 = pd.read_csv('AllRemaining.csv',na_values=[\"NA\",\",\",\" \",\"na\"])\n",
    "gender_labels2.head(n=40)\n",
    "\n",
    "gender_labels2 = gender_labels2.dropna(subset=['gender'])\n",
    "gender_labels2['gender'].value_counts()\n",
    "\n",
    "gender_labels2['char']=gender_labels2['Char']\n",
    "gender_labels2['genre']=gender_labels2['Genre']\n",
    "\n",
    "gender_labels2 = gender_labels2.drop(['Char','Genre','Title'], axis=1)\n",
    "\n",
    "gender_labels2.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>char</th>\n",
       "      <th>gender</th>\n",
       "      <th>genre</th>\n",
       "      <th>id</th>\n",
       "      <th>line_count</th>\n",
       "      <th>pkey</th>\n",
       "      <th>title</th>\n",
>>>>>>> b7d5cd08fcab4b60e607953183ef1653d2311336
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
<<<<<<< HEAD
       "      <th>23</th>\n",
       "      <td>of chaos, degradation and madness</td>\n",
       "      <td>1492conquestofparadise</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>SANCHEZ</td>\n",
       "      <td>2</td>\n",
       "      <td>of chaos, degradation and madness</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>beyond imagining.</td>\n",
       "      <td>1492conquestofparadise</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>SANCHEZ</td>\n",
       "      <td>2</td>\n",
       "      <td>beyond imagining.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>SANCHEZ</td>\n",
       "      <td>1492conquestofparadise</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>SANCHEZ</td>\n",
       "      <td>3</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>From the beginning, Columbus proved</td>\n",
       "      <td>1492conquestofparadise</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>SANCHEZ</td>\n",
       "      <td>3</td>\n",
       "      <td>From the beginning, Columbus proved</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>himself incapable of managing the</td>\n",
       "      <td>1492conquestofparadise</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>SANCHEZ</td>\n",
       "      <td>3</td>\n",
       "      <td>himself incapable of managing the</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>affairs of the island.  He appointed</td>\n",
       "      <td>1492conquestofparadise</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>SANCHEZ</td>\n",
       "      <td>3</td>\n",
       "      <td>affairs of the island.  He appointed</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>his brothers to important positions,</td>\n",
       "      <td>1492conquestofparadise</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>SANCHEZ</td>\n",
       "      <td>3</td>\n",
       "      <td>his brothers to important positions,</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2162</th>\n",
       "      <td>(smiling)</td>\n",
       "      <td>1492conquestofparadise</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>COLUMBUS</td>\n",
       "      <td>643</td>\n",
       "      <td>(smiling)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2163</th>\n",
       "      <td>He never had one... except aboard my</td>\n",
       "      <td>1492conquestofparadise</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>COLUMBUS</td>\n",
       "      <td>643</td>\n",
       "      <td>He never had one... except aboard my</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2164</th>\n",
       "      <td>ships!</td>\n",
       "      <td>1492conquestofparadise</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>COLUMBUS</td>\n",
       "      <td>643</td>\n",
       "      <td>ships!</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2165</th>\n",
       "      <td>FERNANDO</td>\n",
       "      <td>1492conquestofparadise</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>FERNANDO</td>\n",
       "      <td>644</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2166</th>\n",
       "      <td>I want you to tell me everything you</td>\n",
       "      <td>1492conquestofparadise</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>FERNANDO</td>\n",
       "      <td>644</td>\n",
       "      <td>I want you to tell me everything you</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2167</th>\n",
       "      <td>remember, Father.  From the</td>\n",
       "      <td>1492conquestofparadise</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>FERNANDO</td>\n",
       "      <td>644</td>\n",
       "      <td>remember, Father.  From the</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2168</th>\n",
       "      <td>beginning.  Everything.</td>\n",
       "      <td>1492conquestofparadise</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>FERNANDO</td>\n",
       "      <td>644</td>\n",
       "      <td>beginning.  Everything.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2169</th>\n",
       "      <td>COLUMBUS</td>\n",
       "      <td>1492conquestofparadise</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>COLUMBUS</td>\n",
       "      <td>645</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2170</th>\n",
       "      <td>Really?</td>\n",
       "      <td>1492conquestofparadise</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>COLUMBUS</td>\n",
       "      <td>645</td>\n",
       "      <td>Really?</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2171</th>\n",
       "      <td>(pause)</td>\n",
       "      <td>1492conquestofparadise</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>COLUMBUS</td>\n",
       "      <td>645</td>\n",
       "      <td>(pause)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2172</th>\n",
       "      <td>God... I wouldn't know where to</td>\n",
       "      <td>1492conquestofparadise</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>COLUMBUS</td>\n",
       "      <td>645</td>\n",
       "      <td>God... I wouldn't know where to</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2173</th>\n",
       "      <td>start... and yet...</td>\n",
       "      <td>1492conquestofparadise</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>COLUMBUS</td>\n",
       "      <td>645</td>\n",
       "      <td>start... and yet...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2174</th>\n",
       "      <td>FERNANDO</td>\n",
       "      <td>1492conquestofparadise</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>FERNANDO</td>\n",
       "      <td>646</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2175</th>\n",
       "      <td>Tell me the first thing that comes</td>\n",
       "      <td>1492conquestofparadise</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>FERNANDO</td>\n",
       "      <td>646</td>\n",
       "      <td>Tell me the first thing that comes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2176</th>\n",
       "      <td>to your mind.</td>\n",
       "      <td>1492conquestofparadise</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>FERNANDO</td>\n",
       "      <td>646</td>\n",
       "      <td>to your mind.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2177</th>\n",
       "      <td>COLUMBUS</td>\n",
       "      <td>1492conquestofparadise</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>COLUMBUS</td>\n",
       "      <td>647</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2178</th>\n",
       "      <td>I remember...</td>\n",
       "      <td>1492conquestofparadise</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>COLUMBUS</td>\n",
       "      <td>647</td>\n",
       "      <td>I remember...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2179</th>\n",
       "      <td>CUT TO:</td>\n",
       "      <td>1492conquestofparadise</td>\n",
       "      <td>Adventure</td>\n",
       "      <td></td>\n",
       "      <td>647</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2180</th>\n",
       "      <td>CUT TO:</td>\n",
       "      <td>1492conquestofparadise</td>\n",
       "      <td>Adventure</td>\n",
       "      <td></td>\n",
       "      <td>647</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2181</th>\n",
       "      <td>MUSIC BEGINS:</td>\n",
       "      <td>1492conquestofparadise</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>MUSIC BEGINS:</td>\n",
       "      <td>648</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2182</th>\n",
       "      <td>THE BIOGRAPHY FERNANDO WROTE ABOUT</td>\n",
       "      <td>1492conquestofparadise</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>THE BIOGRAPHY FERNANDO WROTE ABOUT</td>\n",
       "      <td>649</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2183</th>\n",
       "      <td>HIS FATHER WAS FOUND BY CHANCE IN</td>\n",
       "      <td>1492conquestofparadise</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>HIS FATHER WAS FOUND BY CHANCE IN</td>\n",
       "      <td>650</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2184</th>\n",
       "      <td>VENICE.  ITS PUBLICATION IN 1571</td>\n",
       "      <td>1492conquestofparadise</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>VENICE.  ITS PUBLICATION IN 1571</td>\n",
       "      <td>651</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2185</th>\n",
       "      <td>CONTRIBUTED TO RESTORING THE NAME OF</td>\n",
       "      <td>1492conquestofparadise</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>CONTRIBUTED TO RESTORING THE NAME OF</td>\n",
       "      <td>652</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2186</th>\n",
       "      <td>CHRISTOPHER COLUMBUS, WHICH HAD BEEN</td>\n",
       "      <td>1492conquestofparadise</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>CHRISTOPHER COLUMBUS, WHICH HAD BEEN</td>\n",
       "      <td>653</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2187</th>\n",
       "      <td>FORGOTTEN.</td>\n",
       "      <td>1492conquestofparadise</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>FORGOTTEN.</td>\n",
       "      <td>654</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2188</th>\n",
       "      <td>IN 1511 DIEGO COLUMBUS BECAME</td>\n",
       "      <td>1492conquestofparadise</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>IN 1511 DIEGO COLUMBUS BECAME</td>\n",
       "      <td>655</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2189</th>\n",
       "      <td>GOVERNOR OF SANTO DOMINGO.</td>\n",
       "      <td>1492conquestofparadise</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>GOVERNOR OF SANTO DOMINGO.</td>\n",
       "      <td>656</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2190</th>\n",
       "      <td>COLUMBUS RESTS IN THE CATHEDRAL OF</td>\n",
       "      <td>1492conquestofparadise</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>COLUMBUS RESTS IN THE CATHEDRAL OF</td>\n",
       "      <td>657</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2191</th>\n",
       "      <td>SEVILLE, IN ANDALUSIA.</td>\n",
       "      <td>1492conquestofparadise</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>SEVILLE, IN ANDALUSIA.</td>\n",
       "      <td>658</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2192 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                   RawLine                   Title      Genre  \\\n",
       "0                                  <b><!--  1492conquestofparadise  Adventure   \n",
       "1                    </b>if (window!= top)  1492conquestofparadise  Adventure   \n",
       "2          top.location.href=location.href  1492conquestofparadise  Adventure   \n",
       "3                                <b>// -->  1492conquestofparadise  Adventure   \n",
       "4                                     </b>  1492conquestofparadise  Adventure   \n",
       "5               1492: CONQUEST OF PARADISE  1492conquestofparadise  Adventure   \n",
       "6               1492: CONQUEST OF PARADISE  1492conquestofparadise  Adventure   \n",
       "7                                       by  1492conquestofparadise  Adventure   \n",
       "8                           Roselyne Bosch  1492conquestofparadise  Adventure   \n",
       "9                                  REVISED  1492conquestofparadise  Adventure   \n",
       "10                      September 23, 1991  1492conquestofparadise  Adventure   \n",
       "11                                 CUT TO:  1492conquestofparadise  Adventure   \n",
       "12                                 SANCHEZ  1492conquestofparadise  Adventure   \n",
       "13     Your Majesty would wish to know the  1492conquestofparadise  Adventure   \n",
       "14     true facts concerning the island of  1492conquestofparadise  Adventure   \n",
       "15      Hispanola, our first settlement in  1492conquestofparadise  Adventure   \n",
       "16       the New World, and the activities  1492conquestofparadise  Adventure   \n",
       "17      there of your servant, Christopher  1492conquestofparadise  Adventure   \n",
       "18     Columbus, Admiral of the Ocean Sea,  1492conquestofparadise  Adventure   \n",
       "19      Governor of that Island.  You will  1492conquestofparadise  Adventure   \n",
       "20            remember with what hopes and  1492conquestofparadise  Adventure   \n",
       "21    promises he beguiled us -- the truth  1492conquestofparadise  Adventure   \n",
       "22    is that he now presides over a state  1492conquestofparadise  Adventure   \n",
       "23       of chaos, degradation and madness  1492conquestofparadise  Adventure   \n",
       "24                       beyond imagining.  1492conquestofparadise  Adventure   \n",
       "25                                 SANCHEZ  1492conquestofparadise  Adventure   \n",
       "26     From the beginning, Columbus proved  1492conquestofparadise  Adventure   \n",
       "27       himself incapable of managing the  1492conquestofparadise  Adventure   \n",
       "28    affairs of the island.  He appointed  1492conquestofparadise  Adventure   \n",
       "29    his brothers to important positions,  1492conquestofparadise  Adventure   \n",
       "...                                    ...                     ...        ...   \n",
       "2162                             (smiling)  1492conquestofparadise  Adventure   \n",
       "2163  He never had one... except aboard my  1492conquestofparadise  Adventure   \n",
       "2164                                ships!  1492conquestofparadise  Adventure   \n",
       "2165                              FERNANDO  1492conquestofparadise  Adventure   \n",
       "2166  I want you to tell me everything you  1492conquestofparadise  Adventure   \n",
       "2167           remember, Father.  From the  1492conquestofparadise  Adventure   \n",
       "2168               beginning.  Everything.  1492conquestofparadise  Adventure   \n",
       "2169                              COLUMBUS  1492conquestofparadise  Adventure   \n",
       "2170                               Really?  1492conquestofparadise  Adventure   \n",
       "2171                               (pause)  1492conquestofparadise  Adventure   \n",
       "2172       God... I wouldn't know where to  1492conquestofparadise  Adventure   \n",
       "2173                   start... and yet...  1492conquestofparadise  Adventure   \n",
       "2174                              FERNANDO  1492conquestofparadise  Adventure   \n",
       "2175    Tell me the first thing that comes  1492conquestofparadise  Adventure   \n",
       "2176                         to your mind.  1492conquestofparadise  Adventure   \n",
       "2177                              COLUMBUS  1492conquestofparadise  Adventure   \n",
       "2178                         I remember...  1492conquestofparadise  Adventure   \n",
       "2179                               CUT TO:  1492conquestofparadise  Adventure   \n",
       "2180                               CUT TO:  1492conquestofparadise  Adventure   \n",
       "2181                         MUSIC BEGINS:  1492conquestofparadise  Adventure   \n",
       "2182    THE BIOGRAPHY FERNANDO WROTE ABOUT  1492conquestofparadise  Adventure   \n",
       "2183     HIS FATHER WAS FOUND BY CHANCE IN  1492conquestofparadise  Adventure   \n",
       "2184      VENICE.  ITS PUBLICATION IN 1571  1492conquestofparadise  Adventure   \n",
       "2185  CONTRIBUTED TO RESTORING THE NAME OF  1492conquestofparadise  Adventure   \n",
       "2186  CHRISTOPHER COLUMBUS, WHICH HAD BEEN  1492conquestofparadise  Adventure   \n",
       "2187                            FORGOTTEN.  1492conquestofparadise  Adventure   \n",
       "2188         IN 1511 DIEGO COLUMBUS BECAME  1492conquestofparadise  Adventure   \n",
       "2189            GOVERNOR OF SANTO DOMINGO.  1492conquestofparadise  Adventure   \n",
       "2190    COLUMBUS RESTS IN THE CATHEDRAL OF  1492conquestofparadise  Adventure   \n",
       "2191                SEVILLE, IN ANDALUSIA.  1492conquestofparadise  Adventure   \n",
       "\n",
<<<<<<< HEAD
       "                                      Char  LineID  \\\n",
       "0                                     None       0   \n",
       "1                                     None       0   \n",
       "2                                     None       0   \n",
       "3                                     None       0   \n",
       "4                                     None       0   \n",
       "5                                     None       0   \n",
       "6                                     None       0   \n",
       "7                                     None       0   \n",
       "8                                     None       0   \n",
       "9                                  REVISED       1   \n",
       "10                                 REVISED       1   \n",
       "11                                               1   \n",
       "12                                 SANCHEZ       2   \n",
       "13                                 SANCHEZ       2   \n",
       "14                                 SANCHEZ       2   \n",
       "15                                 SANCHEZ       2   \n",
       "16                                 SANCHEZ       2   \n",
       "17                                 SANCHEZ       2   \n",
       "18                                 SANCHEZ       2   \n",
       "19                                 SANCHEZ       2   \n",
       "20                                 SANCHEZ       2   \n",
       "21                                 SANCHEZ       2   \n",
       "22                                 SANCHEZ       2   \n",
       "23                                 SANCHEZ       2   \n",
       "24                                 SANCHEZ       2   \n",
       "25                                 SANCHEZ       3   \n",
       "26                                 SANCHEZ       3   \n",
       "27                                 SANCHEZ       3   \n",
       "28                                 SANCHEZ       3   \n",
       "29                                 SANCHEZ       3   \n",
       "...                                    ...     ...   \n",
       "2162                              COLUMBUS     643   \n",
       "2163                              COLUMBUS     643   \n",
       "2164                              COLUMBUS     643   \n",
       "2165                              FERNANDO     644   \n",
       "2166                              FERNANDO     644   \n",
       "2167                              FERNANDO     644   \n",
       "2168                              FERNANDO     644   \n",
       "2169                              COLUMBUS     645   \n",
       "2170                              COLUMBUS     645   \n",
       "2171                              COLUMBUS     645   \n",
       "2172                              COLUMBUS     645   \n",
       "2173                              COLUMBUS     645   \n",
       "2174                              FERNANDO     646   \n",
       "2175                              FERNANDO     646   \n",
       "2176                              FERNANDO     646   \n",
       "2177                              COLUMBUS     647   \n",
       "2178                              COLUMBUS     647   \n",
       "2179                                           647   \n",
       "2180                                           647   \n",
       "2181                         MUSIC BEGINS:     648   \n",
       "2182    THE BIOGRAPHY FERNANDO WROTE ABOUT     649   \n",
       "2183     HIS FATHER WAS FOUND BY CHANCE IN     650   \n",
       "2184      VENICE.  ITS PUBLICATION IN 1571     651   \n",
       "2185  CONTRIBUTED TO RESTORING THE NAME OF     652   \n",
       "2186  CHRISTOPHER COLUMBUS, WHICH HAD BEEN     653   \n",
       "2187                            FORGOTTEN.     654   \n",
       "2188         IN 1511 DIEGO COLUMBUS BECAME     655   \n",
       "2189            GOVERNOR OF SANTO DOMINGO.     656   \n",
       "2190    COLUMBUS RESTS IN THE CATHEDRAL OF     657   \n",
       "2191                SEVILLE, IN ANDALUSIA.     658   \n",
       "\n",
       "                                    Speech  \n",
       "0                                  <b><!--  \n",
       "1                    </b>if (window!= top)  \n",
       "2          top.location.href=location.href  \n",
       "3                                <b>// -->  \n",
       "4                                     </b>  \n",
       "5               1492: CONQUEST OF PARADISE  \n",
       "6               1492: CONQUEST OF PARADISE  \n",
       "7                                       by  \n",
       "8                           Roselyne Bosch  \n",
       "9                                           \n",
       "10                      September 23, 1991  \n",
       "11                                          \n",
       "12                                          \n",
       "13     Your Majesty would wish to know the  \n",
       "14     true facts concerning the island of  \n",
       "15      Hispanola, our first settlement in  \n",
       "16       the New World, and the activities  \n",
       "17      there of your servant, Christopher  \n",
       "18     Columbus, Admiral of the Ocean Sea,  \n",
       "19      Governor of that Island.  You will  \n",
       "20            remember with what hopes and  \n",
       "21    promises he beguiled us -- the truth  \n",
       "22    is that he now presides over a state  \n",
       "23       of chaos, degradation and madness  \n",
       "24                       beyond imagining.  \n",
       "25                                          \n",
       "26     From the beginning, Columbus proved  \n",
       "27       himself incapable of managing the  \n",
       "28    affairs of the island.  He appointed  \n",
       "29    his brothers to important positions,  \n",
       "...                                    ...  \n",
       "2162                             (smiling)  \n",
       "2163  He never had one... except aboard my  \n",
       "2164                                ships!  \n",
       "2165                                        \n",
       "2166  I want you to tell me everything you  \n",
       "2167           remember, Father.  From the  \n",
       "2168               beginning.  Everything.  \n",
       "2169                                        \n",
       "2170                               Really?  \n",
       "2171                               (pause)  \n",
       "2172       God... I wouldn't know where to  \n",
       "2173                   start... and yet...  \n",
       "2174                                        \n",
       "2175    Tell me the first thing that comes  \n",
       "2176                         to your mind.  \n",
       "2177                                        \n",
       "2178                         I remember...  \n",
       "2179                                        \n",
       "2180                                        \n",
       "2181                                        \n",
       "2182                                        \n",
       "2183                                        \n",
       "2184                                        \n",
       "2185                                        \n",
       "2186                                        \n",
       "2187                                        \n",
       "2188                                        \n",
       "2189                                        \n",
       "2190                                        \n",
       "2191                                        \n",
       "\n",
       "[2192 rows x 6 columns]"
      ]
     },
     "execution_count": 13,
=======
       "      <th>0</th>\n",
       "      <td>WILLY</td>\n",
       "      <td>M</td>\n",
       "      <td>Musical</td>\n",
       "      <td>1</td>\n",
       "      <td>58</td>\n",
       "      <td>willy-sisteract</td>\n",
       "      <td>sisteract</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ATHOS</td>\n",
       "      <td>M</td>\n",
       "      <td>Action</td>\n",
       "      <td>2</td>\n",
       "      <td>378</td>\n",
       "      <td>athos-manintheironmask</td>\n",
       "      <td>manintheironmask</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>AUGUSTUS</td>\n",
       "      <td>M</td>\n",
       "      <td>Action</td>\n",
       "      <td>3</td>\n",
       "      <td>222</td>\n",
       "      <td>augustus-perfectcreature</td>\n",
       "      <td>perfectcreature</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>JIMMY</td>\n",
       "      <td>M</td>\n",
       "      <td>Romance</td>\n",
       "      <td>5</td>\n",
       "      <td>43</td>\n",
       "      <td>jimmy-mulhollanddrive</td>\n",
       "      <td>mulhollanddrive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>DENNIS</td>\n",
       "      <td>M</td>\n",
       "      <td>Drama</td>\n",
       "      <td>6</td>\n",
       "      <td>42</td>\n",
       "      <td>dennis-backdraft</td>\n",
       "      <td>backdraft</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       char gender    genre  id line_count                      pkey  \\\n",
       "0     WILLY      M  Musical   1         58           willy-sisteract   \n",
       "1     ATHOS      M   Action   2        378    athos-manintheironmask   \n",
       "2  AUGUSTUS      M   Action   3        222  augustus-perfectcreature   \n",
       "4     JIMMY      M  Romance   5         43     jimmy-mulhollanddrive   \n",
       "5    DENNIS      M    Drama   6         42          dennis-backdraft   \n",
       "\n",
       "              title  \n",
       "0         sisteract  \n",
       "1  manintheironmask  \n",
       "2   perfectcreature  \n",
       "4   mulhollanddrive  \n",
       "5         backdraft  "
      ]
     },
     "execution_count": 4,
>>>>>>> b7d5cd08fcab4b60e607953183ef1653d2311336
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
<<<<<<< HEAD
    "def is_name(string):\n",
    "    #string1 = re.sub('(V.O.)|CUT TO:','',string)\n",
    "    ### nikki edit\n",
    "    string1 = re.sub(r'\\W+', '', re.sub('(V.O.)|CUT TO:','',string))\n",
    "    n = re.match('[A-Z][A-Z]+', string1)\n",
    "    if n: return True\n",
    "    else: return False\n",
    "\n",
    "def is_speech(string):\n",
    "    if not is_name(string):\n",
    "        return True\n",
    "    else: return False\n",
    "\n",
    "def is_cutto(string):\n",
    "    n = re.match('CUT TO', string)\n",
    "    #print n\n",
    "    if n: return True\n",
    "    else: return False\n",
    "    \n",
    "\n",
    "def parse_movie(movie, genre, title):   \n",
    "#   Args:\n",
    "#     movie is a pandas dataframe of the raw movie script input\n",
    "#     genre is the movie genre from the folder it's read in from\n",
    "#     title is the title (file name prior to _dialog.txt)\n",
    "#   Output:\n",
    "#     a dataframe of the form below\n",
    "    #print genre, title\n",
    "    curr_char = None\n",
    "    line = 0\n",
    "    title_column=[]\n",
    "    genre_column=[]\n",
    "    char_column=[]\n",
    "    speech_column=[]\n",
    "    line_column=[] \n",
    "    for i in movie.index:\n",
    "        title_column.append(title) \n",
    "        genre_column.append(genre) \n",
    "        current = str(movie['RawLine'][i])\n",
    "        #current = str(current)\n",
    "        #print current\n",
    "        if current.lower() == 'nan':\n",
    "            pass\n",
    "            #print 'stop'\n",
    "\n",
    "        elif is_cutto(current):\n",
    "            char_column.append(\"\")\n",
    "            line_column.append(line)\n",
    "            speech_column.append(\"\")\n",
    "\n",
    "        elif is_name(current):\n",
    "\n",
    "            #starting a new character. hold onto this name for the next lines\n",
    "            #until you see another new character name\n",
    "            #also try to remove things that are irrelevant to the name \n",
    "            ### nikki edit: add in str.strip() in case voice over left whitespaces\n",
    "            curr_char = re.sub('\\(V.O.\\)|V.O.|\\(O.S.\\)|O.S.|\\(CONT\\'D\\)|CONT\\'D','',current).strip()\n",
    "            char_column.append(curr_char)\n",
    "\n",
    "            line += 1\n",
    "            line_column.append(line)\n",
    "            speech_column.append(\"\")\n",
    "\n",
    "        elif is_speech(current):\n",
    "\n",
    "            char_column.append(curr_char)\n",
    "            line_column.append(line)\n",
    "            speech_column.append(current)\n",
    "\n",
    "    movie['Title']=title_column\n",
    "    movie['Genre']=genre_column\n",
    "    movie['Char']=char_column\n",
    "    movie['LineID']=line_column\n",
    "    movie['Speech']=speech_column\n",
    "\n",
    "    return movie\n",
    "\n",
    "\n",
    "\n",
    "parse_movie(movie1, 'Adventure', 'avatar')   \n",
    "parse_movie(movie2, 'Adventure', '1492conquestofparadise')\n",
    "#parse_movie(movie3, 'Adventure', 'antz')\n",
    "#movie3.head(n=15)\n",
    "    \n",
    "#Intermediate dataframe should look something like this:\n",
    "\n",
    "#RawLine                                  Title     Genre      Char   LineID     Speech\n",
    "\n",
    "#JAKE (V.O.)                              Avatar    Adventure  JAKE   1 \n",
    "#They can fix a spinal, if you've got the Avatar    Adventure  JAKE   1          They can fix... \n",
    "#money. But not on vet benefits, not in   Avatar    Adventure  JAKE   1          money. But not...\n",
    "\n",
    "\n",
    "#And then hopefully we can eventually somehow aggregate by LineID to:\n",
    "\n",
    "#Title   Genre      Char  Speech\n",
    "#Avatar  Adventure  JAKE  They can fix a spinal, if you've got the money. But not on vet...\n"
=======
    "gender_labels_all = pd.concat([gender_labels, gender_labels2])\n",
    "gender_labels_all.head()"
>>>>>>> b7d5cd08fcab4b60e607953183ef1653d2311336
   ]
  },
  {
   "cell_type": "code",
<<<<<<< HEAD
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "JAKE                                       757\n",
       "GRACE                                      434\n",
       "QUARITCH                                   253\n",
       "NEYTIRI                                    186\n",
       "SELFRIDGE                                  137\n",
       "NORM                                       123\n",
       "(SUBTITLED)                                119\n",
       "TRUDY                                       93\n",
       "                                            87\n",
       "MAX                                         69\n",
       "MO'AT                                       63\n",
       "TSU'TEY                                     55\n",
       "WAINFLEET                                   33\n",
       "EYTUKAN                                     18\n",
       "PILOT                                       17\n",
       "MED TECH                                    13\n",
       "CREW CHIEF                                  13\n",
       "TROOPER                                     11\n",
       "JAKE (RECORDED)                             10\n",
       "(QUIETLY)                                    8\n",
       "VOICE                                        8\n",
       "(ANGUISHED)                                  8\n",
       "(MORE)                                       8\n",
       "(WHISPERING)                                 8\n",
       "TRUDY (INTERCOM)                             7\n",
       "GRACE (cont'd)                               7\n",
       "(NA'VI)                                      7\n",
       "DISSOLVE TO:                                 6\n",
       "AGENT 1                                      6\n",
       "OPERATOR                                     6\n",
       "                                          ... \n",
       "(MILDLY)                                     3\n",
       "I See you.                                   2\n",
       "FIKE                                         2\n",
       "PIL                                          2\n",
       "(ICY)                                        2\n",
       "WHAM! Total frickin' yard sale. Ate the      2\n",
       "(PLEADING)                                   2\n",
       "WHOO-HOOOO!                                  2\n",
       "SHOULDER)                                    2\n",
       "MAN                                          2\n",
       "(INNOCENTLY)                                 2\n",
       "(YELLING)                                    2\n",
       "(SOFTENING)                                  2\n",
       "GUNNER                                       2\n",
       "(FRUSTRATED)                                 2\n",
       "I See you, Doctor Grace Augustine.           2\n",
       "(LAUGHING)                                   2\n",
       "AGENT 2                                      2\n",
       "(TURNING)                                    2\n",
       "GUNSHIP PILOT                                2\n",
       "(SHOUTING)                                   2\n",
       "(TRANSLATING)                                2\n",
       "SLOW DISSOLVE TO:                            1\n",
       "I See you, Tsu'tey te Rongloa Ateyitan.      1\n",
       "THEM--                                       1\n",
       "HERE--                                       1\n",
       "NEVER!                                       1\n",
       "TSUTEY                                       1\n",
       "I See you, Jakesully.                        1\n",
       "I See you, Neytiri Mo'at'ite.                1\n",
       "Name: Char, Length: 81, dtype: int64"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movie1['Char'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
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       "    .dataframe thead th {\n",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>RawLine</th>\n",
       "      <th>Title</th>\n",
       "      <th>Genre</th>\n",
       "      <th>Char</th>\n",
       "      <th>LineID</th>\n",
       "      <th>Speech</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>238</th>\n",
       "      <td>GRACE</td>\n",
       "      <td>avatar</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>GRACE</td>\n",
       "      <td>61</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>245</th>\n",
       "      <td>GRACE</td>\n",
       "      <td>avatar</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>GRACE</td>\n",
       "      <td>64</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>246</th>\n",
       "      <td>Norm. I hear good things about you.</td>\n",
       "      <td>avatar</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>GRACE</td>\n",
       "      <td>64</td>\n",
       "      <td>Norm. I hear good things about you.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>247</th>\n",
       "      <td>How's your Na'vi?</td>\n",
       "      <td>avatar</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>GRACE</td>\n",
       "      <td>64</td>\n",
       "      <td>How's your Na'vi?</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>248</th>\n",
       "      <td>14.</td>\n",
       "      <td>avatar</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>GRACE</td>\n",
       "      <td>64</td>\n",
       "      <td>14.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>253</th>\n",
       "      <td>GRACE</td>\n",
       "      <td>avatar</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>GRACE</td>\n",
       "      <td>66</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>261</th>\n",
       "      <td>GRACE</td>\n",
       "      <td>avatar</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>GRACE</td>\n",
       "      <td>71</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262</th>\n",
       "      <td>(turning to Jake)</td>\n",
       "      <td>avatar</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>GRACE</td>\n",
       "      <td>71</td>\n",
       "      <td>(turning to Jake)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>263</th>\n",
       "      <td>Yeah, yeah, I know who you are, and I</td>\n",
       "      <td>avatar</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>GRACE</td>\n",
       "      <td>71</td>\n",
       "      <td>Yeah, yeah, I know who you are, and I</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>264</th>\n",
       "      <td>don't need you. I need your brother.</td>\n",
       "      <td>avatar</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>GRACE</td>\n",
       "      <td>71</td>\n",
       "      <td>don't need you. I need your brother.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>265</th>\n",
       "      <td>(to Max)</td>\n",
       "      <td>avatar</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>GRACE</td>\n",
       "      <td>71</td>\n",
       "      <td>(to Max)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>266</th>\n",
       "      <td>You know -- the PhD who trained three</td>\n",
       "      <td>avatar</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>GRACE</td>\n",
       "      <td>71</td>\n",
       "      <td>You know -- the PhD who trained three</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>267</th>\n",
       "      <td>years for this mission.</td>\n",
       "      <td>avatar</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>GRACE</td>\n",
       "      <td>71</td>\n",
       "      <td>years for this mission.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>271</th>\n",
       "      <td>GRACE</td>\n",
       "      <td>avatar</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>GRACE</td>\n",
       "      <td>73</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>272</th>\n",
       "      <td>How much lab training have you had?   Ever</td>\n",
       "      <td>avatar</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>GRACE</td>\n",
       "      <td>73</td>\n",
       "      <td>How much lab training have you had?   Ever</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>273</th>\n",
       "      <td>run a gas chromatograph?</td>\n",
       "      <td>avatar</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>GRACE</td>\n",
       "      <td>73</td>\n",
       "      <td>run a gas chromatograph?</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>276</th>\n",
       "      <td>GRACE</td>\n",
       "      <td>avatar</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>GRACE</td>\n",
       "      <td>75</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>277</th>\n",
       "      <td>Any actual lab work at all?</td>\n",
       "      <td>avatar</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>GRACE</td>\n",
       "      <td>75</td>\n",
       "      <td>Any actual lab work at all?</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>280</th>\n",
       "      <td>GRACE</td>\n",
       "      <td>avatar</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>GRACE</td>\n",
       "      <td>77</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>281</th>\n",
       "      <td>You see? You see? They're pissing on us</td>\n",
       "      <td>avatar</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>GRACE</td>\n",
       "      <td>77</td>\n",
       "      <td>You see? You see? They're pissing on us</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>282</th>\n",
       "      <td>without even the courtesy of calling it</td>\n",
       "      <td>avatar</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>GRACE</td>\n",
       "      <td>77</td>\n",
       "      <td>without even the courtesy of calling it</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>283</th>\n",
       "      <td>rain.</td>\n",
       "      <td>avatar</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>GRACE</td>\n",
       "      <td>77</td>\n",
       "      <td>rain.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>284</th>\n",
       "      <td>(turning away)</td>\n",
       "      <td>avatar</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>GRACE</td>\n",
       "      <td>77</td>\n",
       "      <td>(turning away)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>285</th>\n",
       "      <td>I'm going to Selfridge.</td>\n",
       "      <td>avatar</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>GRACE</td>\n",
       "      <td>77</td>\n",
       "      <td>I'm going to Selfridge.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>286</th>\n",
       "      <td>15.</td>\n",
       "      <td>avatar</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>GRACE</td>\n",
       "      <td>77</td>\n",
       "      <td>15.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>293</th>\n",
       "      <td>GRACE</td>\n",
       "      <td>avatar</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>GRACE</td>\n",
       "      <td>80</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>294</th>\n",
       "      <td>Parker, I used to think it was benign</td>\n",
       "      <td>avatar</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>GRACE</td>\n",
       "      <td>80</td>\n",
       "      <td>Parker, I used to think it was benign</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>295</th>\n",
       "      <td>neglect, but now I see you're</td>\n",
       "      <td>avatar</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>GRACE</td>\n",
       "      <td>80</td>\n",
       "      <td>neglect, but now I see you're</td>\n",
       "    </tr>\n",
<<<<<<< HEAD
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                RawLine                   Title      Genre  \\\n",
       "0                               <b><!--  1492conquestofparadise  Adventure   \n",
       "1                 </b>if (window!= top)  1492conquestofparadise  Adventure   \n",
       "2       top.location.href=location.href  1492conquestofparadise  Adventure   \n",
       "3                             <b>// -->  1492conquestofparadise  Adventure   \n",
       "4                                  </b>  1492conquestofparadise  Adventure   \n",
       "5            1492: CONQUEST OF PARADISE  1492conquestofparadise  Adventure   \n",
       "6            1492: CONQUEST OF PARADISE  1492conquestofparadise  Adventure   \n",
       "7                                    by  1492conquestofparadise  Adventure   \n",
       "8                        Roselyne Bosch  1492conquestofparadise  Adventure   \n",
       "9                               REVISED  1492conquestofparadise  Adventure   \n",
       "10                   September 23, 1991  1492conquestofparadise  Adventure   \n",
       "11                              CUT TO:  1492conquestofparadise  Adventure   \n",
       "12                              SANCHEZ  1492conquestofparadise  Adventure   \n",
       "13  Your Majesty would wish to know the  1492conquestofparadise  Adventure   \n",
       "14  true facts concerning the island of  1492conquestofparadise  Adventure   \n",
       "\n",
       "       Char  LineID                               Speech  \n",
       "0      None       0                              <b><!--  \n",
       "1      None       0                </b>if (window!= top)  \n",
       "2      None       0      top.location.href=location.href  \n",
       "3      None       0                            <b>// -->  \n",
       "4      None       0                                 </b>  \n",
       "5      None       0           1492: CONQUEST OF PARADISE  \n",
       "6      None       0           1492: CONQUEST OF PARADISE  \n",
       "7      None       0                                   by  \n",
       "8      None       0                       Roselyne Bosch  \n",
       "9   REVISED       1                                       \n",
       "10  REVISED       1                   September 23, 1991  \n",
       "11                1                                       \n",
       "12  SANCHEZ       2                                       \n",
       "13  SANCHEZ       2  Your Majesty would wish to know the  \n",
       "14  SANCHEZ       2  true facts concerning the island of  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movie2.head(15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "COLUMBUS                                825\n",
       "SANCHEZ                                 212\n",
       "MARCHENA                                122\n",
       "PINZON                                  100\n",
       "AROJAZ                                  100\n",
       "FERNANDO                                 92\n",
       "ISABEL                                   92\n",
       "SANTANGEL                                55\n",
       "                                         51\n",
       "MOXICA                                   51\n",
       "AL                                       44\n",
       "UTAPAN                                   40\n",
       "BEATRIX                                  38\n",
       "MENDEZ                                   32\n",
       "BOBADILLA                                30\n",
       "BARTOLOME                                29\n",
       "BROTHER BUYL                             28\n",
       "GIACOMO                                  24\n",
       "SAILOR                                   22\n",
       "ADMINISTRATOR                            21\n",
       "DIEGO                                    20\n",
       "SOLDIER                                  14\n",
       "DIEGO DE DEZA                            11\n",
       "DUENA                                    11\n",
       "TRANSLATOR                               10\n",
       "GUEVARA                                   8\n",
       "DOCTOR                                    7\n",
       "OFFICER                                   7\n",
       "VICUNA                                    6\n",
       "ASSISTANT                                 6\n",
       "                                       ... \n",
       "SHIP'S BOY                                5\n",
       "DOCTOR CHANCA                             5\n",
       "NO...!  I have waited too long,           5\n",
       "INDIANS                                   4\n",
       "COOK                                      4\n",
       "NOBLEMAN                                  3\n",
       "MASTER                                    3\n",
       "SAILOR'S VOICE                            2\n",
       "MAN                                       2\n",
       "REVISED                                   2\n",
       "A MAN IN BLACK                            2\n",
       "OLD INDIAN                                2\n",
       "HERNANDO DE TALAVERA                      2\n",
       "I... I have to see Mendez.                1\n",
       "SLOW DISSOLVE TO:                         1\n",
       "SEVILLE, IN ANDALUSIA.                    1\n",
       "IN 1511 DIEGO COLUMBUS BECAME             1\n",
       "VENICE.  ITS PUBLICATION IN 1571          1\n",
       "COLUMBUS RESTS IN THE CATHEDRAL OF        1\n",
       "HIS FATHER WAS FOUND BY CHANCE IN         1\n",
       "I WON'T!                                  1\n",
       "MUSIC BEGINS:                             1\n",
       "GOVERNOR OF SANTO DOMINGO.                1\n",
       "IF-GOD-WILLS-IT!                          1\n",
       "CHRISTOPHER COLUMBUS, WHICH HAD BEEN      1\n",
       "TIERRA...!  TIERRA!                       1\n",
       "FORGOTTEN.                                1\n",
       "CONTRIBUTED TO RESTORING THE NAME OF      1\n",
       "THE BIOGRAPHY FERNANDO WROTE ABOUT        1\n",
       "YEEEEEEES!                                1\n",
       "Name: Char, dtype: int64"
=======
       "      LineID                                      Speech  \n",
       "238       61                                              \n",
       "245       64                                              \n",
       "246       64         Norm. I hear good things about you.  \n",
       "247       64                           How's your Na'vi?  \n",
       "248       64                                         14.  \n",
       "253       66                                              \n",
       "261       71                                              \n",
       "262       71                           (turning to Jake)  \n",
       "263       71       Yeah, yeah, I know who you are, and I  \n",
       "264       71        don't need you. I need your brother.  \n",
       "265       71                                    (to Max)  \n",
       "266       71       You know -- the PhD who trained three  \n",
       "267       71                     years for this mission.  \n",
       "271       73                                              \n",
       "272       73  How much lab training have you had?   Ever  \n",
       "273       73                    run a gas chromatograph?  \n",
       "276       75                                              \n",
       "277       75                 Any actual lab work at all?  \n",
       "280       77                                              \n",
       "281       77     You see? You see? They're pissing on us  \n",
       "282       77     without even the courtesy of calling it  \n",
       "283       77                                       rain.  \n",
       "284       77                              (turning away)  \n",
       "285       77                     I'm going to Selfridge.  \n",
       "286       77                                         15.  \n",
       "293       80                                              \n",
       "294       80       Parker, I used to think it was benign  \n",
       "295       80               neglect, but now I see you're  \n",
       "296       80                  intentionally screwing us.  \n",
       "300       82                                              \n",
       "...      ...                                         ...  \n",
       "2014     643                          you're about to --  \n",
       "2020     645                                              \n",
       "2021     645       For God's sake, there are children in  \n",
       "2022     645                              there. Babies!  \n",
       "2150     693                                              \n",
       "2151     693            They never wanted us to succeed.  \n",
       "2173     701                                              \n",
       "2174     701                                   I'm free.  \n",
       "2194     708                                              \n",
       "2195     708                    Do what he goddamn says!  \n",
       "2201     711                                              \n",
       "2202     711                     Aaahh, crap. Not again.  \n",
       "2203     712                                              \n",
       "2204     712            This is gonna ruin my whole day.  \n",
       "2224     720                                              \n",
       "2225     720               Forget it, it doesn't matter.  \n",
       "2302     749                                              \n",
       "2303     749                          (with a wan smile)  \n",
       "2304     749                I need to take some samples.  \n",
       "2319     756                                              \n",
       "2320     756    I -- always held back. But you gave them  \n",
       "2321     756         your heart. I'm proud of you, Jake.  \n",
       "2322     756                                        121.  \n",
       "2323     757                                              \n",
       "2324     757  Help them.     You do whatever it takes. Y  \n",
       "2325     757                                    hear me?  \n",
       "2328     759                                              \n",
       "2329     759                        I'm with her Jake --  \n",
       "2330     759                         (an amazed whisper)  \n",
       "2331     759                            -- she's real --  \n",
       "\n",
       "[434 rows x 6 columns]"
>>>>>>> 8b509ff3c0508395cbe57aa3c85d921295105975
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movie1[movie1[\"Char\"] == 'GRACE']"
   ]
  },
  {
   "cell_type": "code",
<<<<<<< HEAD
   "execution_count": 4,
=======
   "execution_count": 5,
>>>>>>> 8b509ff3c0508395cbe57aa3c85d921295105975
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'movie2' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
<<<<<<< HEAD
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-4-cf80f0756dc3>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m     29\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     30\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 31\u001b[0;31m \u001b[0menriched_movie2\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpipeline\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmovie2\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m: name 'movie2' is not defined"
=======
      "\u001b[0;31mKeyError\u001b[0m                                  Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-5-cf80f0756dc3>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m     29\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     30\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 31\u001b[0;31m \u001b[0menriched_movie2\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpipeline\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmovie2\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m<ipython-input-5-cf80f0756dc3>\u001b[0m in \u001b[0;36mpipeline\u001b[0;34m(df, threshold)\u001b[0m\n\u001b[1;32m     20\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mpipeline\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdf\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mthreshold\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m20\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     21\u001b[0m     \u001b[0;31m### before top chars, we can add something about a proper title finder\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 22\u001b[0;31m     \u001b[0mtc\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtop_chars\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdf\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mthreshold\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     23\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     24\u001b[0m     \u001b[0;31m### add something about the gender id\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m<ipython-input-5-cf80f0756dc3>\u001b[0m in \u001b[0;36mtop_chars\u001b[0;34m(df, threshold)\u001b[0m\n\u001b[1;32m      6\u001b[0m \u001b[0;31m#     print type(dframe)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      7\u001b[0m     \u001b[0mthreshold\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mthreshold\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 8\u001b[0;31m     \u001b[0mchar_list\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mDataFrame\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdf\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"Char\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalue_counts\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      9\u001b[0m     \u001b[0mto_remove\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mchar_list\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mchar_list\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'Char'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m<=\u001b[0m \u001b[0mthreshold\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mindex\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     10\u001b[0m     \u001b[0mcl1\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mchar_list\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdrop\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mto_remove\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/home/michelle_m_kim/anaconda2/lib/python2.7/site-packages/pandas/core/frame.pyc\u001b[0m in \u001b[0;36m__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m   2057\u001b[0m             \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_getitem_multilevel\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2058\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2059\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_getitem_column\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2060\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2061\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_getitem_column\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/home/michelle_m_kim/anaconda2/lib/python2.7/site-packages/pandas/core/frame.pyc\u001b[0m in \u001b[0;36m_getitem_column\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m   2064\u001b[0m         \u001b[0;31m# get column\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2065\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mis_unique\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2066\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_get_item_cache\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2067\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2068\u001b[0m         \u001b[0;31m# duplicate columns & possible reduce dimensionality\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/home/michelle_m_kim/anaconda2/lib/python2.7/site-packages/pandas/core/generic.pyc\u001b[0m in \u001b[0;36m_get_item_cache\u001b[0;34m(self, item)\u001b[0m\n\u001b[1;32m   1384\u001b[0m         \u001b[0mres\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcache\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mitem\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1385\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mres\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1386\u001b[0;31m             \u001b[0mvalues\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_data\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mitem\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1387\u001b[0m             \u001b[0mres\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_box_item_values\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mitem\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvalues\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1388\u001b[0m             \u001b[0mcache\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mitem\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mres\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/home/michelle_m_kim/anaconda2/lib/python2.7/site-packages/pandas/core/internals.pyc\u001b[0m in \u001b[0;36mget\u001b[0;34m(self, item, fastpath)\u001b[0m\n\u001b[1;32m   3541\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3542\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0misnull\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mitem\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 3543\u001b[0;31m                 \u001b[0mloc\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mitems\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mitem\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   3544\u001b[0m             \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3545\u001b[0m                 \u001b[0mindexer\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0marange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mitems\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0misnull\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mitems\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/home/michelle_m_kim/anaconda2/lib/python2.7/site-packages/pandas/indexes/base.pyc\u001b[0m in \u001b[0;36mget_loc\u001b[0;34m(self, key, method, tolerance)\u001b[0m\n\u001b[1;32m   2134\u001b[0m                 \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_engine\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2135\u001b[0m             \u001b[0;32mexcept\u001b[0m \u001b[0mKeyError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2136\u001b[0;31m                 \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_engine\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_maybe_cast_indexer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2137\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2138\u001b[0m         \u001b[0mindexer\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_indexer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmethod\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mmethod\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtolerance\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtolerance\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32mpandas/index.pyx\u001b[0m in \u001b[0;36mpandas.index.IndexEngine.get_loc (pandas/index.c:4433)\u001b[0;34m()\u001b[0m\n",
      "\u001b[0;32mpandas/index.pyx\u001b[0m in \u001b[0;36mpandas.index.IndexEngine.get_loc (pandas/index.c:4279)\u001b[0;34m()\u001b[0m\n",
      "\u001b[0;32mpandas/src/hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas.hashtable.PyObjectHashTable.get_item (pandas/hashtable.c:13742)\u001b[0;34m()\u001b[0m\n",
      "\u001b[0;32mpandas/src/hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas.hashtable.PyObjectHashTable.get_item (pandas/hashtable.c:13696)\u001b[0;34m()\u001b[0m\n",
      "\u001b[0;31mKeyError\u001b[0m: 'Char'"
>>>>>>> 8b509ff3c0508395cbe57aa3c85d921295105975
     ]
    }
   ],
   "source": [
    "### keep only characters with at least 20 lines per movie\n",
    "\n",
    "def top_chars(df, threshold = 20):\n",
    "    #dframe = df\n",
    "#     print dframe.head()\n",
    "#     print type(dframe)\n",
    "    threshold = threshold\n",
    "    char_list = pd.DataFrame(df[\"Char\"].value_counts())\n",
    "    to_remove = char_list[char_list['Char'] <= threshold].index\n",
    "    cl1 = char_list.drop(to_remove)\n",
    "    cl1['line_count'] = cl1['Char']\n",
    "    cl1['Char'] = cl1.index\n",
    "    #char_list.reset_index(drop=True)\n",
    "    query = 'SELECT d.*, c.line_count FROM df d INNER JOIN cl1 c on d.Char = c.Char'\n",
    "    enriched_df = sqldf(query, locals())\n",
    "    enriched_df = enriched_df[enriched_df['Char'] != '']\n",
    "    #return cl1.head(20)\n",
    "    return enriched_df\n",
    "\n",
    "def pipeline(df,threshold=20):\n",
    "    ### before top chars, we can add something about a proper title finder\n",
    "    tc = top_chars(df, threshold)\n",
    "    \n",
    "    ### add something about the gender id\n",
    "    ### add something about vocab enrichment\n",
    "    ### output should be called final_df\n",
    "    final_df = tc\n",
    "    return tc\n",
    "    \n",
    "\n",
    "enriched_movie2 = pipeline(movie2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>RawLine</th>\n",
       "      <th>Title</th>\n",
       "      <th>Genre</th>\n",
       "      <th>Char</th>\n",
       "      <th>LineID</th>\n",
       "      <th>Speech</th>\n",
       "      <th>line_count</th>\n",
=======
       "    <tr>\n",
       "      <th>296</th>\n",
       "      <td>intentionally screwing us.</td>\n",
       "      <td>avatar</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>GRACE</td>\n",
       "      <td>80</td>\n",
       "      <td>intentionally screwing us.</td>\n",
>>>>>>> d53afdacb9ab0d0d21d0d149b4cdb549cfb4e247
       "    </tr>\n",
       "    <tr>\n",
       "      <th>300</th>\n",
       "      <td>GRACE</td>\n",
       "      <td>avatar</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>GRACE</td>\n",
       "      <td>82</td>\n",
       "      <td></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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014</th>\n",
       "      <td>you're about to --</td>\n",
       "      <td>avatar</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>GRACE</td>\n",
       "      <td>643</td>\n",
       "      <td>you're about to --</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020</th>\n",
       "      <td>GRACE</td>\n",
       "      <td>avatar</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>GRACE</td>\n",
       "      <td>645</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021</th>\n",
       "      <td>For God's sake, there are children in</td>\n",
       "      <td>avatar</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>GRACE</td>\n",
       "      <td>645</td>\n",
       "      <td>For God's sake, there are children in</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022</th>\n",
       "      <td>there. Babies!</td>\n",
       "      <td>avatar</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>GRACE</td>\n",
       "      <td>645</td>\n",
       "      <td>there. Babies!</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2150</th>\n",
       "      <td>GRACE</td>\n",
       "      <td>avatar</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>GRACE</td>\n",
       "      <td>693</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2151</th>\n",
       "      <td>They never wanted us to succeed.</td>\n",
       "      <td>avatar</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>GRACE</td>\n",
       "      <td>693</td>\n",
       "      <td>They never wanted us to succeed.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2173</th>\n",
       "      <td>GRACE</td>\n",
       "      <td>avatar</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>GRACE</td>\n",
       "      <td>701</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2174</th>\n",
       "      <td>I'm free.</td>\n",
       "      <td>avatar</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>GRACE</td>\n",
       "      <td>701</td>\n",
       "      <td>I'm free.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2194</th>\n",
       "      <td>GRACE</td>\n",
       "      <td>avatar</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>GRACE</td>\n",
       "      <td>708</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2195</th>\n",
       "      <td>Do what he goddamn says!</td>\n",
       "      <td>avatar</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>GRACE</td>\n",
       "      <td>708</td>\n",
       "      <td>Do what he goddamn says!</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2201</th>\n",
       "      <td>GRACE</td>\n",
       "      <td>avatar</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>GRACE</td>\n",
       "      <td>711</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
<<<<<<< HEAD
=======
       "    <tr>\n",
       "      <th>2202</th>\n",
       "      <td>Aaahh, crap. Not again.</td>\n",
       "      <td>avatar</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>GRACE</td>\n",
       "      <td>711</td>\n",
       "      <td>Aaahh, crap. Not again.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2203</th>\n",
       "      <td>GRACE</td>\n",
       "      <td>avatar</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>GRACE</td>\n",
       "      <td>712</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2204</th>\n",
       "      <td>This is gonna ruin my whole day.</td>\n",
       "      <td>avatar</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>GRACE</td>\n",
       "      <td>712</td>\n",
       "      <td>This is gonna ruin my whole day.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2224</th>\n",
       "      <td>GRACE</td>\n",
       "      <td>avatar</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>GRACE</td>\n",
       "      <td>720</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2225</th>\n",
       "      <td>Forget it, it doesn't matter.</td>\n",
       "      <td>avatar</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>GRACE</td>\n",
       "      <td>720</td>\n",
       "      <td>Forget it, it doesn't matter.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2302</th>\n",
       "      <td>GRACE</td>\n",
       "      <td>avatar</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>GRACE</td>\n",
       "      <td>749</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2303</th>\n",
       "      <td>(with a wan smile)</td>\n",
       "      <td>avatar</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>GRACE</td>\n",
       "      <td>749</td>\n",
       "      <td>(with a wan smile)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2304</th>\n",
       "      <td>I need to take some samples.</td>\n",
       "      <td>avatar</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>GRACE</td>\n",
       "      <td>749</td>\n",
       "      <td>I need to take some samples.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2319</th>\n",
       "      <td>GRACE</td>\n",
       "      <td>avatar</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>GRACE</td>\n",
       "      <td>756</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2320</th>\n",
       "      <td>I -- always held back. But you gave them</td>\n",
       "      <td>avatar</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>GRACE</td>\n",
       "      <td>756</td>\n",
       "      <td>I -- always held back. But you gave them</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2321</th>\n",
       "      <td>your heart. I'm proud of you, Jake.</td>\n",
       "      <td>avatar</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>GRACE</td>\n",
       "      <td>756</td>\n",
       "      <td>your heart. I'm proud of you, Jake.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2322</th>\n",
       "      <td>121.</td>\n",
       "      <td>avatar</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>GRACE</td>\n",
       "      <td>756</td>\n",
       "      <td>121.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2323</th>\n",
       "      <td>GRACE</td>\n",
       "      <td>avatar</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>GRACE</td>\n",
       "      <td>757</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2324</th>\n",
       "      <td>Help them.     You do whatever it takes. Y</td>\n",
       "      <td>avatar</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>GRACE</td>\n",
       "      <td>757</td>\n",
       "      <td>Help them.     You do whatever it takes. Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2325</th>\n",
       "      <td>hear me?</td>\n",
       "      <td>avatar</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>GRACE</td>\n",
       "      <td>757</td>\n",
       "      <td>hear me?</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2328</th>\n",
       "      <td>GRACE</td>\n",
       "      <td>avatar</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>GRACE</td>\n",
       "      <td>759</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2329</th>\n",
       "      <td>I'm with her Jake --</td>\n",
       "      <td>avatar</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>GRACE</td>\n",
       "      <td>759</td>\n",
       "      <td>I'm with her Jake --</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2330</th>\n",
       "      <td>(an amazed whisper)</td>\n",
       "      <td>avatar</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>GRACE</td>\n",
       "      <td>759</td>\n",
       "      <td>(an amazed whisper)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2331</th>\n",
       "      <td>-- she's real --</td>\n",
       "      <td>avatar</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>GRACE</td>\n",
       "      <td>759</td>\n",
       "      <td>-- she's real --</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>434 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
<<<<<<< HEAD
       "                                         RawLine   Title      Genre   Char  \\\n",
       "238                                        GRACE  avatar  Adventure  GRACE   \n",
       "245                                        GRACE  avatar  Adventure  GRACE   \n",
       "246          Norm. I hear good things about you.  avatar  Adventure  GRACE   \n",
       "247                            How's your Na'vi?  avatar  Adventure  GRACE   \n",
       "248                                          14.  avatar  Adventure  GRACE   \n",
       "253                                        GRACE  avatar  Adventure  GRACE   \n",
       "261                                        GRACE  avatar  Adventure  GRACE   \n",
       "262                            (turning to Jake)  avatar  Adventure  GRACE   \n",
       "263        Yeah, yeah, I know who you are, and I  avatar  Adventure  GRACE   \n",
       "264         don't need you. I need your brother.  avatar  Adventure  GRACE   \n",
       "265                                     (to Max)  avatar  Adventure  GRACE   \n",
       "266        You know -- the PhD who trained three  avatar  Adventure  GRACE   \n",
       "267                      years for this mission.  avatar  Adventure  GRACE   \n",
       "271                                        GRACE  avatar  Adventure  GRACE   \n",
       "272   How much lab training have you had?   Ever  avatar  Adventure  GRACE   \n",
       "273                     run a gas chromatograph?  avatar  Adventure  GRACE   \n",
       "276                                        GRACE  avatar  Adventure  GRACE   \n",
       "277                  Any actual lab work at all?  avatar  Adventure  GRACE   \n",
       "280                                        GRACE  avatar  Adventure  GRACE   \n",
       "281      You see? You see? They're pissing on us  avatar  Adventure  GRACE   \n",
       "282      without even the courtesy of calling it  avatar  Adventure  GRACE   \n",
       "283                                        rain.  avatar  Adventure  GRACE   \n",
       "284                               (turning away)  avatar  Adventure  GRACE   \n",
       "285                      I'm going to Selfridge.  avatar  Adventure  GRACE   \n",
       "286                                          15.  avatar  Adventure  GRACE   \n",
       "293                                        GRACE  avatar  Adventure  GRACE   \n",
       "294        Parker, I used to think it was benign  avatar  Adventure  GRACE   \n",
       "295                neglect, but now I see you're  avatar  Adventure  GRACE   \n",
       "296                   intentionally screwing us.  avatar  Adventure  GRACE   \n",
       "300                                        GRACE  avatar  Adventure  GRACE   \n",
       "...                                          ...     ...        ...    ...   \n",
       "2014                          you're about to --  avatar  Adventure  GRACE   \n",
       "2020                                       GRACE  avatar  Adventure  GRACE   \n",
       "2021       For God's sake, there are children in  avatar  Adventure  GRACE   \n",
       "2022                              there. Babies!  avatar  Adventure  GRACE   \n",
       "2150                                       GRACE  avatar  Adventure  GRACE   \n",
       "2151            They never wanted us to succeed.  avatar  Adventure  GRACE   \n",
       "2173                                       GRACE  avatar  Adventure  GRACE   \n",
       "2174                                   I'm free.  avatar  Adventure  GRACE   \n",
       "2194                                       GRACE  avatar  Adventure  GRACE   \n",
       "2195                    Do what he goddamn says!  avatar  Adventure  GRACE   \n",
       "2201                                       GRACE  avatar  Adventure  GRACE   \n",
       "2202                     Aaahh, crap. Not again.  avatar  Adventure  GRACE   \n",
       "2203                                       GRACE  avatar  Adventure  GRACE   \n",
       "2204            This is gonna ruin my whole day.  avatar  Adventure  GRACE   \n",
       "2224                                       GRACE  avatar  Adventure  GRACE   \n",
       "2225               Forget it, it doesn't matter.  avatar  Adventure  GRACE   \n",
       "2302                                       GRACE  avatar  Adventure  GRACE   \n",
       "2303                          (with a wan smile)  avatar  Adventure  GRACE   \n",
       "2304                I need to take some samples.  avatar  Adventure  GRACE   \n",
       "2319                                       GRACE  avatar  Adventure  GRACE   \n",
       "2320    I -- always held back. But you gave them  avatar  Adventure  GRACE   \n",
       "2321         your heart. I'm proud of you, Jake.  avatar  Adventure  GRACE   \n",
       "2322                                        121.  avatar  Adventure  GRACE   \n",
       "2323                                       GRACE  avatar  Adventure  GRACE   \n",
       "2324  Help them.     You do whatever it takes. Y  avatar  Adventure  GRACE   \n",
       "2325                                    hear me?  avatar  Adventure  GRACE   \n",
       "2328                                       GRACE  avatar  Adventure  GRACE   \n",
       "2329                        I'm with her Jake --  avatar  Adventure  GRACE   \n",
       "2330                         (an amazed whisper)  avatar  Adventure  GRACE   \n",
       "2331                            -- she's real --  avatar  Adventure  GRACE   \n",
       "\n",
       "      LineID                                      Speech  \n",
       "238       61                                              \n",
       "245       64                                              \n",
       "246       64         Norm. I hear good things about you.  \n",
       "247       64                           How's your Na'vi?  \n",
       "248       64                                         14.  \n",
       "253       66                                              \n",
       "261       71                                              \n",
       "262       71                           (turning to Jake)  \n",
       "263       71       Yeah, yeah, I know who you are, and I  \n",
       "264       71        don't need you. I need your brother.  \n",
       "265       71                                    (to Max)  \n",
       "266       71       You know -- the PhD who trained three  \n",
       "267       71                     years for this mission.  \n",
       "271       73                                              \n",
       "272       73  How much lab training have you had?   Ever  \n",
       "273       73                    run a gas chromatograph?  \n",
       "276       75                                              \n",
       "277       75                 Any actual lab work at all?  \n",
       "280       77                                              \n",
       "281       77     You see? You see? They're pissing on us  \n",
       "282       77     without even the courtesy of calling it  \n",
       "283       77                                       rain.  \n",
       "284       77                              (turning away)  \n",
       "285       77                     I'm going to Selfridge.  \n",
       "286       77                                         15.  \n",
       "293       80                                              \n",
       "294       80       Parker, I used to think it was benign  \n",
       "295       80               neglect, but now I see you're  \n",
       "296       80                  intentionally screwing us.  \n",
       "300       82                                              \n",
       "...      ...                                         ...  \n",
       "2014     643                          you're about to --  \n",
       "2020     645                                              \n",
       "2021     645       For God's sake, there are children in  \n",
       "2022     645                              there. Babies!  \n",
       "2150     693                                              \n",
       "2151     693            They never wanted us to succeed.  \n",
       "2173     701                                              \n",
       "2174     701                                   I'm free.  \n",
       "2194     708                                              \n",
       "2195     708                    Do what he goddamn says!  \n",
       "2201     711                                              \n",
       "2202     711                     Aaahh, crap. Not again.  \n",
       "2203     712                                              \n",
       "2204     712            This is gonna ruin my whole day.  \n",
       "2224     720                                              \n",
       "2225     720               Forget it, it doesn't matter.  \n",
       "2302     749                                              \n",
       "2303     749                          (with a wan smile)  \n",
       "2304     749                I need to take some samples.  \n",
       "2319     756                                              \n",
       "2320     756    I -- always held back. But you gave them  \n",
       "2321     756         your heart. I'm proud of you, Jake.  \n",
       "2322     756                                        121.  \n",
       "2323     757                                              \n",
       "2324     757  Help them.     You do whatever it takes. Y  \n",
       "2325     757                                    hear me?  \n",
       "2328     759                                              \n",
       "2329     759                        I'm with her Jake --  \n",
       "2330     759                         (an amazed whisper)  \n",
       "2331     759                            -- she's real --  \n",
       "\n",
       "[434 rows x 6 columns]"
=======
       "JAKE           757\n",
       "GRACE          434\n",
       "QUARITCH       253\n",
       "NEYTIRI        186\n",
       "SELFRIDGE      137\n",
       "NORM           123\n",
       "(SUBTITLED)    119\n",
       "TRUDY           93\n",
       "MAX             69\n",
       "MO'AT           63\n",
       "TSU'TEY         55\n",
       "WAINFLEET       33\n",
       "Name: Char, dtype: int64"
>>>>>>> 8b509ff3c0508395cbe57aa3c85d921295105975
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
<<<<<<< HEAD
    "movie1[movie1[\"Char\"] == 'GRACE']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Roselyne Bosch</td>\n",
       "      <td>1492conquestofparadise</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>Roselyne Bosch</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>REVISED</td>\n",
       "      <td>1492conquestofparadise</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>REVISED</td>\n",
       "      <td>1</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>September 23, 1991</td>\n",
       "      <td>1492conquestofparadise</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>REVISED</td>\n",
       "      <td>1</td>\n",
       "      <td>September 23, 1991</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>CUT TO:</td>\n",
       "      <td>1492conquestofparadise</td>\n",
       "      <td>Adventure</td>\n",
       "      <td></td>\n",
       "      <td>1</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>SANCHEZ</td>\n",
       "      <td>1492conquestofparadise</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>SANCHEZ</td>\n",
       "      <td>2</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Your Majesty would wish to know the</td>\n",
       "      <td>1492conquestofparadise</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>SANCHEZ</td>\n",
       "      <td>2</td>\n",
       "      <td>Your Majesty would wish to know the</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>true facts concerning the island of</td>\n",
       "      <td>1492conquestofparadise</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>SANCHEZ</td>\n",
       "      <td>2</td>\n",
       "      <td>true facts concerning the island of</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                RawLine                   Title      Genre  \\\n",
       "0                               <b><!--  1492conquestofparadise  Adventure   \n",
       "1                 </b>if (window!= top)  1492conquestofparadise  Adventure   \n",
       "2       top.location.href=location.href  1492conquestofparadise  Adventure   \n",
       "3                             <b>// -->  1492conquestofparadise  Adventure   \n",
       "4                                  </b>  1492conquestofparadise  Adventure   \n",
       "5            1492: CONQUEST OF PARADISE  1492conquestofparadise  Adventure   \n",
       "6            1492: CONQUEST OF PARADISE  1492conquestofparadise  Adventure   \n",
       "7                                    by  1492conquestofparadise  Adventure   \n",
       "8                        Roselyne Bosch  1492conquestofparadise  Adventure   \n",
       "9                               REVISED  1492conquestofparadise  Adventure   \n",
       "10                   September 23, 1991  1492conquestofparadise  Adventure   \n",
       "11                              CUT TO:  1492conquestofparadise  Adventure   \n",
       "12                              SANCHEZ  1492conquestofparadise  Adventure   \n",
       "13  Your Majesty would wish to know the  1492conquestofparadise  Adventure   \n",
       "14  true facts concerning the island of  1492conquestofparadise  Adventure   \n",
       "\n",
       "       Char  LineID                               Speech  \n",
       "0      None       0                              <b><!--  \n",
       "1      None       0                </b>if (window!= top)  \n",
       "2      None       0      top.location.href=location.href  \n",
       "3      None       0                            <b>// -->  \n",
       "4      None       0                                 </b>  \n",
       "5      None       0           1492: CONQUEST OF PARADISE  \n",
       "6      None       0           1492: CONQUEST OF PARADISE  \n",
       "7      None       0                                   by  \n",
       "8      None       0                       Roselyne Bosch  \n",
       "9   REVISED       1                                       \n",
       "10  REVISED       1                   September 23, 1991  \n",
       "11                1                                       \n",
       "12  SANCHEZ       2                                       \n",
       "13  SANCHEZ       2  Your Majesty would wish to know the  \n",
       "14  SANCHEZ       2  true facts concerning the island of  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movie2.head(15)"
=======
    "enriched_movie1['Char'].value_counts()"
>>>>>>> 8b509ff3c0508395cbe57aa3c85d921295105975
   ]
  },
  {
   "cell_type": "code",
<<<<<<< HEAD
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "COLUMBUS                                825\n",
       "SANCHEZ                                 212\n",
       "MARCHENA                                122\n",
       "PINZON                                  100\n",
       "AROJAZ                                  100\n",
       "FERNANDO                                 92\n",
       "ISABEL                                   92\n",
       "SANTANGEL                                55\n",
       "                                         51\n",
       "MOXICA                                   51\n",
       "AL                                       44\n",
       "UTAPAN                                   40\n",
       "BEATRIX                                  38\n",
       "MENDEZ                                   32\n",
       "BOBADILLA                                30\n",
       "BARTOLOME                                29\n",
       "BROTHER BUYL                             28\n",
       "GIACOMO                                  24\n",
       "SAILOR                                   22\n",
       "ADMINISTRATOR                            21\n",
       "DIEGO                                    20\n",
       "SOLDIER                                  14\n",
       "DIEGO DE DEZA                            11\n",
       "DUENA                                    11\n",
       "TRANSLATOR                               10\n",
       "GUEVARA                                   8\n",
       "DOCTOR                                    7\n",
       "OFFICER                                   7\n",
       "VICUNA                                    6\n",
       "ASSISTANT                                 6\n",
       "                                       ... \n",
       "SHIP'S BOY                                5\n",
       "DOCTOR CHANCA                             5\n",
       "NO...!  I have waited too long,           5\n",
       "INDIANS                                   4\n",
       "COOK                                      4\n",
       "NOBLEMAN                                  3\n",
       "MASTER                                    3\n",
       "SAILOR'S VOICE                            2\n",
       "MAN                                       2\n",
       "REVISED                                   2\n",
       "A MAN IN BLACK                            2\n",
       "OLD INDIAN                                2\n",
       "HERNANDO DE TALAVERA                      2\n",
       "I... I have to see Mendez.                1\n",
       "SLOW DISSOLVE TO:                         1\n",
       "SEVILLE, IN ANDALUSIA.                    1\n",
       "IN 1511 DIEGO COLUMBUS BECAME             1\n",
       "VENICE.  ITS PUBLICATION IN 1571          1\n",
       "COLUMBUS RESTS IN THE CATHEDRAL OF        1\n",
       "HIS FATHER WAS FOUND BY CHANCE IN         1\n",
       "I WON'T!                                  1\n",
       "MUSIC BEGINS:                             1\n",
       "GOVERNOR OF SANTO DOMINGO.                1\n",
       "IF-GOD-WILLS-IT!                          1\n",
       "CHRISTOPHER COLUMBUS, WHICH HAD BEEN      1\n",
       "TIERRA...!  TIERRA!                       1\n",
       "FORGOTTEN.                                1\n",
       "CONTRIBUTED TO RESTORING THE NAME OF      1\n",
       "THE BIOGRAPHY FERNANDO WROTE ABOUT        1\n",
       "YEEEEEEES!                                1\n",
       "Name: Char, Length: 63, dtype: int64"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movie2['Char'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "### keep only characters with at least 20 lines per movie\n",
    "\n",
    "def top_chars(df, threshold = 20):\n",
    "    #dframe = df\n",
    "#     print dframe.head()\n",
    "#     print type(dframe)\n",
    "    threshold = threshold\n",
    "    char_list = pd.DataFrame(df[\"Char\"].value_counts())\n",
    "    to_remove = char_list[char_list['Char'] <= threshold].index\n",
    "    cl1 = char_list.drop(to_remove)\n",
    "    cl1['line_count'] = cl1['Char']\n",
    "    cl1['Char'] = cl1.index\n",
    "    #char_list.reset_index(drop=True)\n",
    "    query = 'SELECT d.*, c.line_count FROM df d INNER JOIN cl1 c on d.Char = c.Char'\n",
    "    enriched_df = sqldf(query, locals())\n",
    "    enriched_df = enriched_df[enriched_df['Char'] != '']\n",
    "    #return cl1.head(20)\n",
    "    return enriched_df\n",
    "\n",
    "def pipeline(df,threshold=20):\n",
    "    ### before top chars, we can add something about a proper title finder\n",
    "    tc = top_chars(df, threshold)\n",
    "    \n",
    "    ### add something about the gender id\n",
    "    ### add something about vocab enrichment\n",
    "    ### output should be called final_df\n",
    "    final_df = tc\n",
    "    return tc\n",
    "    \n",
    "\n",
    "enriched_movie2 = pipeline(movie2)"
=======
   "execution_count": 10,
=======
   "execution_count": 5,
>>>>>>> b7d5cd08fcab4b60e607953183ef1653d2311336
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
<<<<<<< HEAD
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Western/djangounchained_dialog.txt\n",
      "processing next movie\n",
      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Western/danceswithwolves_dialog.txt\n",
      "processing next movie\n",
      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Western/bookofelithe_dialog.txt\n",
      "processing next movie\n",
      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Western/tombstone_dialog.txt\n",
      "processing next movie\n",
      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Western/mariachiel_dialog.txt\n",
      "processing next movie\n",
      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Western/baddayatblackrock_dialog.txt\n",
      "processing next movie\n",
      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Western/stationwest_dialog.txt\n",
      "processing next movie\n",
      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Western/wildwildwest_dialog.txt\n",
      "processing next movie\n",
      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Western/truegrit_dialog.txt\n",
      "processing next movie\n",
      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Western/wildbunchthe_dialog.txt\n",
      "processing next movie\n",
      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Western/roughshod_dialog.txt\n",
      "processing next movie\n",
      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Western/tallinthesaddle_dialog.txt\n",
      "processing next movie\n",
      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Western/searchersthe_dialog.txt\n",
      "processing next movie\n",
      "[('Western', 'djangounchained'), ('Western', 'bookofelithe'), ('Western', 'wildwildwest')]\n",
      "                    Char    Genre             Title  line_count\n",
      "52                PEPPER  Western  danceswithwolves          44\n",
      "156            FAMBROUGH  Western  danceswithwolves          62\n",
      "205              CARGILL  Western  danceswithwolves          21\n",
      "265              TIMMONS  Western  danceswithwolves          46\n",
      "997               DUNBAR  Western  danceswithwolves         397\n",
      "1178          STONE CALF  Western  danceswithwolves          27\n",
      "1292         BLACK SHAWL  Western  danceswithwolves          34\n",
      "1412               OTTER  Western  danceswithwolves          23\n",
      "1622      SERGEANT BAUER  Western  danceswithwolves          25\n",
      "1634              SPIVEY  Western  danceswithwolves          22\n",
      "1642               ELGIN  Western  danceswithwolves          49\n",
      "1644        SMILES A LOT  Western  danceswithwolves          49\n",
      "1659  STANDS WITH A FIST  Western  danceswithwolves         184\n",
      "1732           TEN BEARS  Western  danceswithwolves         151\n",
      "1740        KICKING BIRD  Western  danceswithwolves         205\n",
      "1743  DANCES WITH WOLVES  Western  danceswithwolves         266\n",
      "1757    WIND IN HIS HAIR  Western  danceswithwolves         153\n",
      "141    NARRATION (cont.)  Western         tombstone          22\n",
      "280                 DAKE  Western         tombstone          24\n",
      "688                TYLER  Western         tombstone          23\n",
      "1008              FABIAN  Western         tombstone          44\n",
      "1126         HIGH ROLLER  Western         tombstone          23\n",
      "1170               WHITE  Western         tombstone          95\n",
      "1505     OLD MAN CLANTON  Western         tombstone          31\n",
      "1882                KATE  Western         tombstone          35\n",
      "1946               JOYCE  Western         tombstone          30\n",
      "2132              MATTIE  Western         tombstone          76\n",
      "2294              VIRGIL  Western         tombstone         138\n",
      "2296               ALLIE  Western         tombstone          28\n",
      "2355      DR. GOODFELLOW  Western         tombstone          24\n",
      "...                  ...      ...               ...         ...\n",
      "3195             JACKSON  Western   tallinthesaddle         139\n",
      "3205            HAROLDAY  Western   tallinthesaddle         190\n",
      "3311              GARVEY  Western   tallinthesaddle         260\n",
      "3316         MISS MARTIN  Western   tallinthesaddle         290\n",
      "3366               CLARA  Western   tallinthesaddle         155\n",
      "3384             ROCKLIN  Western   tallinthesaddle         855\n",
      "3387                ARLY  Western   tallinthesaddle         340\n",
      "3395                DAVE  Western   tallinthesaddle         528\n",
      "468                  BEN  Western      searchersthe          29\n",
      "514               MARTHA  Western      searchersthe          68\n",
      "524                AARON  Western      searchersthe          90\n",
      "950                 BRAD  Western      searchersthe          61\n",
      "1326           FUTTERMAN  Western      searchersthe          48\n",
      "1751      MARTIN'S VOICE  Western      searchersthe          65\n",
      "1827             GENERAL  Western      searchersthe          29\n",
      "1886              KEEFER  Western      searchersthe          33\n",
      "2131                SCAR  Western      searchersthe          33\n",
      "2164              EMILIO  Western      searchersthe          59\n",
      "2499               NESBY  Western      searchersthe          27\n",
      "2503           JORGENSEN  Western      searchersthe         119\n",
      "2625      MRS. JORGENSEN  Western      searchersthe         128\n",
      "2638                MOSE  Western      searchersthe          97\n",
      "2649          LIEUTENANT  Western      searchersthe          47\n",
      "2687              LAURIE  Western      searchersthe         184\n",
      "2766             CHARLIE  Western      searchersthe          75\n",
      "2816              DEBBIE  Western      searchersthe          70\n",
      "2825              MARTIN  Western      searchersthe         487\n",
      "2831               ETHAN  Western      searchersthe         765\n",
      "2835             CLAYTON  Western      searchersthe         296\n",
      "2836        DISSOLVE TO:  Western      searchersthe          27\n",
      "\n",
      "[142 rows x 4 columns]\n"
     ]
    }
   ],
   "source": [
    "not_working=[]\n",
    "char_list_to_label=[]\n",
    "\n",
    "for i in files_list:\n",
    "    title = i.split('/')[5].split('_')[0]\n",
    "    genre = i.split('/')[4]\n",
    "    if genre=='Western':\n",
    "        print i\n",
    "        #print genre\n",
    "        title = title.strip()\n",
    "        genre = genre.strip()\n",
    "        movie = pd.read_fwf(\"%s\" % i,header=None, names=[\"RawLine\"],encoding='utf')\n",
    "        #print movie\n",
    "        try:\n",
    "            parsed = parse_movie(movie, genre, title)\n",
    "            #print parsed.head()\n",
    "            final_df = pipeline(movie)\n",
    "            char_list = final_df.drop_duplicates(subset='Char',keep='last')[['Char','Genre','Title','line_count']]\n",
    "            char_list_to_label.append(char_list)\n",
    "        except:\n",
    "            not_working.append((genre,title))\n",
    "        #print final_df.head()\n",
    "        print \"processing next movie\"\n",
    "chars= pd.concat(char_list_to_label)\n",
    "#chars.to_csv('OutputWesternCharacters.csv', index=False)\n",
    "print not_working\n",
    "print chars"
>>>>>>> 8b509ff3c0508395cbe57aa3c85d921295105975
   ]
  },
  {
   "cell_type": "code",
<<<<<<< HEAD
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>RawLine</th>\n",
       "      <th>Title</th>\n",
       "      <th>Genre</th>\n",
       "      <th>Char</th>\n",
       "      <th>LineID</th>\n",
       "      <th>Speech</th>\n",
       "      <th>line_count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>SANCHEZ</td>\n",
       "      <td>1492conquestofparadise</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>SANCHEZ</td>\n",
       "      <td>2</td>\n",
       "      <td></td>\n",
       "      <td>212</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Your Majesty would wish to know the</td>\n",
       "      <td>1492conquestofparadise</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>SANCHEZ</td>\n",
       "      <td>2</td>\n",
       "      <td>Your Majesty would wish to know the</td>\n",
       "      <td>212</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>true facts concerning the island of</td>\n",
       "      <td>1492conquestofparadise</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>SANCHEZ</td>\n",
       "      <td>2</td>\n",
       "      <td>true facts concerning the island of</td>\n",
       "      <td>212</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Hispanola, our first settlement in</td>\n",
       "      <td>1492conquestofparadise</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>SANCHEZ</td>\n",
       "      <td>2</td>\n",
       "      <td>Hispanola, our first settlement in</td>\n",
       "      <td>212</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>the New World, and the activities</td>\n",
       "      <td>1492conquestofparadise</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>SANCHEZ</td>\n",
       "      <td>2</td>\n",
       "      <td>the New World, and the activities</td>\n",
       "      <td>212</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                               RawLine                   Title      Genre  \\\n",
       "1                              SANCHEZ  1492conquestofparadise  Adventure   \n",
       "2  Your Majesty would wish to know the  1492conquestofparadise  Adventure   \n",
       "3  true facts concerning the island of  1492conquestofparadise  Adventure   \n",
       "4   Hispanola, our first settlement in  1492conquestofparadise  Adventure   \n",
       "5    the New World, and the activities  1492conquestofparadise  Adventure   \n",
       "\n",
       "      Char  LineID                               Speech  line_count  \n",
       "1  SANCHEZ       2                                              212  \n",
       "2  SANCHEZ       2  Your Majesty would wish to know the         212  \n",
       "3  SANCHEZ       2  true facts concerning the island of         212  \n",
       "4  SANCHEZ       2   Hispanola, our first settlement in         212  \n",
       "5  SANCHEZ       2    the New World, and the activities         212  "
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "enriched_movie2.head()"
=======
   "execution_count": 70,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                            RawLine   Title      Genre    Char  LineID  \\\n",
      "0                            AVATAR  avatar  Adventure  AVATAR       1   \n",
      "1                        Written by  avatar  Adventure  AVATAR       1   \n",
      "2                     James Cameron  avatar  Adventure  AVATAR       1   \n",
      "3                      VOICE (V.O.)  avatar  Adventure   VOICE       2   \n",
      "4  When I was lying there in the VA  avatar  Adventure   VOICE       2   \n",
      "\n",
      "                             Speech  \n",
      "0                                    \n",
      "1                        Written by  \n",
      "2                     James Cameron  \n",
      "3                                    \n",
      "4  When I was lying there in the VA  \n"
     ]
    }
   ],
   "source": [
    "avatar = parse_movie(movie1, 'Adventure', 'avatar') \n",
    "print avatar.head()"
>>>>>>> 8b509ff3c0508395cbe57aa3c85d921295105975
   ]
  },
  {
   "cell_type": "code",
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   "execution_count": 20,
   "metadata": {},
=======
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
>>>>>>> 8b509ff3c0508395cbe57aa3c85d921295105975
   "outputs": [
    {
     "data": {
      "text/plain": [
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       "COLUMBUS         825\n",
       "SANCHEZ          212\n",
       "MARCHENA         122\n",
       "AROJAZ           100\n",
       "PINZON           100\n",
       "FERNANDO          92\n",
       "ISABEL            92\n",
       "SANTANGEL         55\n",
       "MOXICA            51\n",
       "AL                44\n",
       "UTAPAN            40\n",
       "BEATRIX           38\n",
       "MENDEZ            32\n",
       "BOBADILLA         30\n",
       "BARTOLOME         29\n",
       "BROTHER BUYL      28\n",
       "GIACOMO           24\n",
       "SAILOR            22\n",
       "ADMINISTRATOR     21\n",
       "Name: Char, dtype: int64"
      ]
     },
     "execution_count": 20,
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       "M    758\n",
       "F    392\n",
       "Name: gender, dtype: int64"
      ]
     },
     "execution_count": 6,
>>>>>>> 8b509ff3c0508395cbe57aa3c85d921295105975
=======
     "data": {
      "text/plain": [
       "M    5140\n",
       "F    2172\n",
       "Name: gender, dtype: int64"
      ]
     },
     "execution_count": 5,
>>>>>>> b7d5cd08fcab4b60e607953183ef1653d2311336
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
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    "enriched_movie2['Char'].value_counts()"
=======
    "gender_labels = pd.read_csv('random_sampling_genderized.csv.csv',na_values=\"NA\")\n",
    "gender_labels.head(n=40)\n",
    "\n",
    "gender_labels = gender_labels.dropna(subset=['gender'])\n",
    "gender_labels['gender'].value_counts()"
>>>>>>> 8b509ff3c0508395cbe57aa3c85d921295105975
=======
    "gender_labels_all['gender'].value_counts()"
>>>>>>> b7d5cd08fcab4b60e607953183ef1653d2311336
   ]
  },
  {
   "cell_type": "code",
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   "execution_count": 21,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "enriched_movie1 = pipeline(movie1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
=======
   "execution_count": 7,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
>>>>>>> 8b509ff3c0508395cbe57aa3c85d921295105975
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
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       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
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       "      <th>RawLine</th>\n",
       "      <th>Title</th>\n",
       "      <th>Genre</th>\n",
       "      <th>Char</th>\n",
       "      <th>LineID</th>\n",
       "      <th>Speech</th>\n",
       "      <th>line_count</th>\n",
=======
       "      <th>id</th>\n",
       "      <th>char</th>\n",
       "      <th>gender</th>\n",
       "      <th>genre</th>\n",
       "      <th>title</th>\n",
       "      <th>line_count</th>\n",
       "      <th>pkey</th>\n",
>>>>>>> 8b509ff3c0508395cbe57aa3c85d921295105975
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
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       "      <th>1</th>\n",
       "      <td>JAKE (V.O.)</td>\n",
       "      <td>avatar</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>JAKE</td>\n",
       "      <td>4</td>\n",
       "      <td></td>\n",
       "      <td>757</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>They can fix a spinal, if you've got the</td>\n",
       "      <td>avatar</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>JAKE</td>\n",
       "      <td>4</td>\n",
       "      <td>They can fix a spinal, if you've got the</td>\n",
       "      <td>757</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>money. But not on vet benefits, not in</td>\n",
       "      <td>avatar</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>JAKE</td>\n",
       "      <td>4</td>\n",
       "      <td>money. But not on vet benefits, not in</td>\n",
       "      <td>757</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>this economy.</td>\n",
       "      <td>avatar</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>JAKE</td>\n",
       "      <td>4</td>\n",
       "      <td>this economy.</td>\n",
       "      <td>757</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>JAKE (V.O.)</td>\n",
       "      <td>avatar</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>JAKE</td>\n",
       "      <td>6</td>\n",
       "      <td></td>\n",
       "      <td>757</td>\n",
       "    </tr>\n",
>>>>>>> d53afdacb9ab0d0d21d0d149b4cdb549cfb4e247
=======
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>WILLY</td>\n",
       "      <td>M</td>\n",
       "      <td>Musical</td>\n",
       "      <td>sisteract</td>\n",
       "      <td>58</td>\n",
       "      <td>willy-sisteract</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>ATHOS</td>\n",
       "      <td>M</td>\n",
       "      <td>Action</td>\n",
       "      <td>manintheironmask</td>\n",
       "      <td>378</td>\n",
       "      <td>athos-manintheironmask</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>AUGUSTUS</td>\n",
       "      <td>M</td>\n",
       "      <td>Action</td>\n",
       "      <td>perfectcreature</td>\n",
       "      <td>222</td>\n",
       "      <td>augustus-perfectcreature</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>JIMMY</td>\n",
       "      <td>M</td>\n",
       "      <td>Romance</td>\n",
       "      <td>mulhollanddrive</td>\n",
       "      <td>43</td>\n",
       "      <td>jimmy-mulhollanddrive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>6</td>\n",
       "      <td>DENNIS</td>\n",
       "      <td>M</td>\n",
       "      <td>Drama</td>\n",
       "      <td>backdraft</td>\n",
       "      <td>42</td>\n",
       "      <td>dennis-backdraft</td>\n",
       "    </tr>\n",
>>>>>>> 8b509ff3c0508395cbe57aa3c85d921295105975
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
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       "                                    RawLine   Title      Genre  Char  LineID  \\\n",
       "1                               JAKE (V.O.)  avatar  Adventure  JAKE       4   \n",
       "2  They can fix a spinal, if you've got the  avatar  Adventure  JAKE       4   \n",
       "3    money. But not on vet benefits, not in  avatar  Adventure  JAKE       4   \n",
       "4                             this economy.  avatar  Adventure  JAKE       4   \n",
       "5                               JAKE (V.O.)  avatar  Adventure  JAKE       6   \n",
       "\n",
       "                                     Speech  line_count  \n",
       "1                                                   757  \n",
       "2  They can fix a spinal, if you've got the         757  \n",
       "3    money. But not on vet benefits, not in         757  \n",
       "4                             this economy.         757  \n",
       "5                                                   757  "
      ]
     },
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     "execution_count": 14,
=======
     "execution_count": 22,
>>>>>>> d53afdacb9ab0d0d21d0d149b4cdb549cfb4e247
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "enriched_movie1.head()"
   ]
  },
  {
   "cell_type": "code",
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   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
=======
   "execution_count": 23,
   "metadata": {},
>>>>>>> d53afdacb9ab0d0d21d0d149b4cdb549cfb4e247
   "outputs": [
    {
     "data": {
      "text/plain": [
       "JAKE           757\n",
       "GRACE          434\n",
       "QUARITCH       253\n",
       "NEYTIRI        186\n",
       "SELFRIDGE      137\n",
       "NORM           123\n",
       "(SUBTITLED)    119\n",
       "TRUDY           93\n",
       "MAX             69\n",
       "MO'AT           63\n",
       "TSU'TEY         55\n",
       "WAINFLEET       33\n",
       "Name: Char, dtype: int64"
      ]
     },
<<<<<<< HEAD
     "execution_count": 15,
=======
     "execution_count": 23,
>>>>>>> d53afdacb9ab0d0d21d0d149b4cdb549cfb4e247
=======
       "   id      char gender    genre             title line_count  \\\n",
       "0   1     WILLY      M  Musical         sisteract         58   \n",
       "1   2     ATHOS      M   Action  manintheironmask        378   \n",
       "2   3  AUGUSTUS      M   Action   perfectcreature        222   \n",
       "4   5     JIMMY      M  Romance   mulhollanddrive         43   \n",
       "5   6    DENNIS      M    Drama         backdraft         42   \n",
       "\n",
       "                       pkey  \n",
       "0           willy-sisteract  \n",
       "1    athos-manintheironmask  \n",
       "2  augustus-perfectcreature  \n",
       "4     jimmy-mulhollanddrive  \n",
       "5          dennis-backdraft  "
      ]
     },
     "execution_count": 7,
>>>>>>> 8b509ff3c0508395cbe57aa3c85d921295105975
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
<<<<<<< HEAD
    "enriched_movie1['Char'].value_counts()"
=======
    "gender_labels.head()"
>>>>>>> 8b509ff3c0508395cbe57aa3c85d921295105975
   ]
  },
  {
   "cell_type": "code",
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   "execution_count": 5,
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   },
=======
   "execution_count": null,
   "metadata": {},
>>>>>>> d53afdacb9ab0d0d21d0d149b4cdb549cfb4e247
=======
=======
>>>>>>> b7d5cd08fcab4b60e607953183ef1653d2311336
   "execution_count": 8,
   "metadata": {
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>>>>>>> 8b509ff3c0508395cbe57aa3c85d921295105975
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Crime/15minutes_dialog.txt\n",
=======
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      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Drama/platoon_dialog.txt\n",
      "processing next movie\n",
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      "[('Drama', 'sugar'), ('Drama', 'kingkong'), ('Drama', 'sexliesandvideotape'), ('Drama', 'nashville'), ('Drama', 'codeofsilence'), ('Drama', 'catchmeifyoucan'), ('Drama', 'scarface'), ('Drama', 'winwin'), ('Drama', 'sessionsthe'), ('Drama', 'djangounchained'), ('Drama', 'wildthingsdiamondsintherough'), ('Drama', 'bookofelithe'), ('Drama', 'cruelintentions'), ('Drama', 'traffic'), ('Drama', 'unknown'), ('Drama', 'anniversarypartythe'), ('Drama', 'amelia'), ('Drama', 'artistthe'), ('Drama', 'bulldurham'), ('Drama', 'minisfirsttime'), ('Drama', 'precious'), ('Drama', 'inthebedroom'), ('Drama', 'crouchingtigerhiddendragon'), ('Drama', 'talentedmrripleythe'), ('Drama', 'uturn'), ('Drama', 'diner'), ('Drama', 'majesticthethebijou'), ('Drama', 'se7en'), ('Drama', 'thisboyslife'), ('Drama', 'elizabeththegoldenage'), ('Drama', 'glengarryglengross'), ('Drama', 'marypoppins'), ('Drama', 'boxthe'), ('Drama', 'clashofthetitans'), ('Drama', 'valkyrie'), ('Drama', 'sexandthecity'), ('Drama', 'apocalypsenow'), ('Drama', 'janeeyre'), ('Drama', 'tmnt'), ('Drama', 'syriana'), ('Drama', 'tinmen'), ('Drama', 'savethelastdance'), ('Drama', '12monkeys'), ('Drama', 'outofsight'), ('Drama', 'lawabidingcitizen'), ('Drama', 'whileshewasout'), ('Drama', 'moon'), ('Drama', 'fighterthe'), ('Drama', 'heat'), ('Drama', '12yearsaslave'), ('Drama', 'beloved'), ('Drama', 'henryscrime'), ('Drama', 'gattaca'), ('Drama', 'ninesthe'), ('Drama', 'swingers'), ('Drama', 'pariah'), ('Drama', 'rush'), ('Drama', 'margaret'), ('Drama', 'godsandmonsters'), ('Drama', 'agnesofgod'), ('Drama', 'ironladythe'), ('Drama', 'game6'), ('Drama', 'manwhoknewtoomuchthe'), ('Drama', 'warmsprings'), ('Drama', 'rachelgettingmarried'), ('Drama', 'bigwhitethe'), ('Drama', 'devilsadvocate'), ('Drama', 'enough'), ('Drama', 'malcolmx'), ('Drama', 'easternpromises'), ('Drama', 'perfectworlda'), ('Drama', 'kundun'), ('Drama', 'aneducation'), ('Drama', 'sexuallife'), ('Drama', 'warrior'), ('Drama', 'bringingoutthedead'), ('Drama', 'whistleblowerthe'), ('Drama', 'constantine'), ('Drama', 'damnedunitedthe'), ('Drama', 'twinpeaks'), ('Drama', 'postmanthe'), ('Drama', 'sunsetblvd'), ('Drama', 'inventingtheabbotts'), ('Drama', 'ordinarypeople'), ('Drama', 'descendantsthe'), ('Drama', 'enemyofthestate'), ('Drama', 'illdoanything'), ('Drama', 'margincall'), ('Drama', 'nextthreedaysthe'), ('Drama', 'breakingaway'), ('Drama', '187'), ('Drama', 'shame'), ('Drama', 'tinkertailorsoldierspy'), ('Drama', 'sweeneytoddthedemonbarberoffleetstreet'), ('Drama', 'brothersbloomthe'), ('Drama', 'augustosagecounty'), ('Drama', 'otherboleyngirlthe'), ('Drama', 'kingsspeechthe'), ('Drama', 'ragingbull'), ('Drama', 'fruitvalestation'), ('Drama', 'crank'), ('Drama', 'masterthe'), ('Drama', 'planetoftheapesthe'), ('Drama', 'americangangster'), ('Drama', 'crazystupidlove'), ('Drama', 'snowfallingoncedars'), ('Drama', 'lincolnlawyerthe'), ('Drama', 'spanglish'), ('Drama', 'sunshinecleaning'), ('Drama', 'frozen'), ('Drama', 'peepingtom'), ('Drama', 'wildthings'), ('Drama', 'shampoo'), ('Drama', 'cobb'), ('Drama', 'papadopoulossons'), ('Drama', 'blastfromthepastthe'), ('Drama', 'frozenriver'), ('Drama', 'pulpfiction'), ('Drama', 'rustandbone'), ('Drama', 'prideandprejudice'), ('Drama', 'insiderthe'), ('Drama', 'iloveyouphillipmorris'), ('Drama', 'bonfireofthevanities'), ('Drama', 'kidsareallrightthe'), ('Drama', 'curiouscaseofbenjaminbuttonthe'), ('Drama', 'smashed'), ('Drama', 'stelmosfire'), ('Drama', 'absolutepower'), ('Drama', 'laststationthe'), ('Drama', 'whitejazz'), ('Drama', 'ninjaassassin'), ('Drama', 'idesofmarchthe'), ('Drama', 'chaos'), ('Drama', 'frances'), ('Drama', 'capote'), ('Drama', 'perksofbeingawallflowerthe'), ('Drama', 'lincoln'), ('Drama', 'goodgirlthe'), ('Drama', 'loveandbasketball'), ('Drama', 'blingringthe'), ('Drama', 'tamaradrewe'), ('Drama', 'creation'), ('Drama', 'gardenstate'), ('Drama', 'girlwiththedragontattoothe'), ('Drama', 'margotatthewedding'), ('Drama', 'tincup'), ('Drama', 'bestexoticmarigoldhotelthe'), ('Drama', 'strangersonatrain'), ('Drama', 'sixthsensethe'), ('Drama', 'debtthe'), ('Drama', 'slumdogmillionaire'), ('Drama', 'meanstreets'), ('Drama', 'brick')]\n",
      "                          Char  Genre              Title  line_count\n",
      "108   (VOICE OVER, as he digs)  Drama            platoon          26\n",
      "277                        TEX  Drama            platoon          27\n",
      "1364                    LERNER  Drama            platoon          69\n",
      "1398                     ELIAS  Drama            platoon         229\n",
      "1438                  CRAWFORD  Drama            platoon          32\n",
      "1478                BIG HAROLD  Drama            platoon          55\n",
      "1720                      KING  Drama            platoon         184\n",
      "1892                    JUNIOR  Drama            platoon          88\n",
      "1895                     BUNNY  Drama            platoon         110\n",
      "1909                       DOC  Drama            platoon          45\n",
      "1914                     WOLFE  Drama            platoon          85\n",
      "1922                       ACE  Drama            platoon          30\n",
      "1941                    BARNES  Drama            platoon         233\n",
      "1959                   FRANCIS  Drama            platoon          69\n",
      "1964                    HARRIS  Drama            platoon          53\n",
      "1967                   O'NEILL  Drama            platoon         104\n",
      "1969                      RHAH  Drama            platoon         189\n",
      "1982                     CHRIS  Drama            platoon         355\n",
      "331                      KINKO  Drama  waterforelephants          22\n",
      "597                     WALTER  Drama  waterforelephants          25\n",
      "598                      CAMEL  Drama  waterforelephants          35\n",
      "612                     AUGUST  Drama  waterforelephants         161\n",
      "616                    MARLENA  Drama  waterforelephants         108\n",
      "630                    CHARLIE  Drama  waterforelephants          25\n",
      "632                      JACOB  Drama  waterforelephants         257\n",
      "196               MAX REDLICHT  Drama     schindlerslist          22\n",
      "213                EINSATZ NCO  Drama     schindlerslist          21\n",
      "609                      CLERK  Drama     schindlerslist          32\n",
      "807                     CZURDA  Drama     schindlerslist          29\n",
      "926                MISS KRAUSE  Drama     schindlerslist          22\n",
      "...                        ...    ...                ...         ...\n",
      "2366                     SUSAN  Drama           limeythe          86\n",
      "2390                        ED  Drama           limeythe         308\n",
      "2393                    ELAINE  Drama           limeythe         404\n",
      "2464                       TOM  Drama           limeythe          48\n",
      "2466                UNCLE JOHN  Drama           limeythe          50\n",
      "2468                    ADHARA  Drama           limeythe         103\n",
      "2471                     AVERY  Drama           limeythe          98\n",
      "2512                 VALENTINE  Drama           limeythe         238\n",
      "2514                      CUT.  Drama           limeythe          45\n",
      "2578                      LADY  Drama           limeythe          28\n",
      "2582                    WILSON  Drama           limeythe         784\n",
      "133                 WHITE H #2  Drama             gijane          23\n",
      "1274      CNN COMMENTATOR (TV)  Drama             gijane          22\n",
      "1298                   ENGLAND  Drama             gijane          26\n",
      "1819                 THE SPOOK  Drama             gijane          54\n",
      "2023                     HAYES  Drama             gijane          50\n",
      "2072          INSTRUCTOR JOHNS  Drama             gijane          49\n",
      "2116                  WICKWIRE  Drama             gijane         108\n",
      "2299                  BLONDELL  Drama             gijane          53\n",
      "2649                      FLEA  Drama             gijane          41\n",
      "2681                    CORTEZ  Drama             gijane          50\n",
      "2704                 THE CHIEF  Drama             gijane         384\n",
      "2708                    MCCOOL  Drama             gijane          97\n",
      "2711                   SLUTNIK  Drama             gijane          79\n",
      "2719            DEHAVEN'S AIDE  Drama             gijane          49\n",
      "2749           INSTRUCTOR PYRO  Drama             gijane         114\n",
      "2761                   DEHAVEN  Drama             gijane         295\n",
      "2765                      C.O.  Drama             gijane         249\n",
      "2780                    JORDAN  Drama             gijane         781\n",
      "2783                     ROYCE  Drama             gijane         260\n",
      "\n",
      "[6433 rows x 4 columns]\n"
=======
      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Adventure/127hours_dialog.txt\n",
>>>>>>> 3ba93cf188ef8cb0271d9bfbcda065413fe06463
      "processing next movie\n",
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      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Crime/birthdaygirl_dialog.txt\n",
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      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Crime/hangoverthe_dialog.txt\n"
     ]
    },
=======
   "outputs": [
>>>>>>> b7d5cd08fcab4b60e607953183ef1653d2311336
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "processing next movie\n",
      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Crime/hanna_dialog.txt\n",
      "processing next movie\n",
      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Crime/hardrain_dialog.txt\n",
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      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Crime/pulpfiction_dialog.txt\n"
=======
      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Adventure/cirquedufreakthevampiresassistant_dialog.txt\n"
>>>>>>> d53afdacb9ab0d0d21d0d149b4cdb549cfb4e247
>>>>>>> 3ba93cf188ef8cb0271d9bfbcda065413fe06463
=======
      "1\n",
      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Horror/redridinghood_dialog.txt\n",
      "2\n",
      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Horror/aprilfoolsday_dialog.txt\n",
      "3\n",
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      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Adventure/wildhogs_dialog.txt\n",
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      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Adventure/paranorman_dialog.txt\n",
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      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Adventure/newyorkminute_dialog.txt\n",
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      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Adventure/indianajonesandtheraidersofthelostark_dialog.txt\n",
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      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Adventure/pointbreak_dialog.txt\n",
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      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Adventure/jayandsilentbobstrikeback_dialog.txt\n",
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      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Adventure/starwarsanewhope_dialog.txt\n",
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      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Adventure/stuntmanthe_dialog.txt\n",
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      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Adventure/paul_dialog.txt\n",
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      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Adventure/bourneidentitythe_dialog.txt\n",
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      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Adventure/manintheironmask_dialog.txt\n",
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      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Adventure/up_dialog.txt\n",
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      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Adventure/sherlockholmes_dialog.txt\n",
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      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Adventure/startrekgenerations_dialog.txt\n",
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      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Adventure/sideways_dialog.txt\n",
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      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Adventure/intothewild_dialog.txt\n",
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      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Adventure/waybackthe_dialog.txt\n",
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      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Adventure/brothersbloomthe_dialog.txt\n",
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      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Adventure/bourneultimatumthe_dialog.txt\n",
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      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Adventure/lastsamuraithe_dialog.txt\n",
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      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Adventure/masterandcommander_dialog.txt\n",
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      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Adventure/startrek_dialog.txt\n",
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      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Adventure/croodsthe_dialog.txt\n",
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      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Adventure/haroldandkumargotowhitecastle_dialog.txt\n",
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      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Adventure/supergirl_dialog.txt\n",
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      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Adventure/totalrecall_dialog.txt\n",
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      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Adventure/1492conquestofparadise_dialog.txt\n",
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      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Adventure/fantasticfour_dialog.txt\n",
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      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Adventure/jurassicpark_dialog.txt\n",
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      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Adventure/howtotrainyourdragon_dialog.txt\n",
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      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Adventure/dragonslayer_dialog.txt\n",
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      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Adventure/lordoftheringsthetwotowers_dialog.txt\n",
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      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Adventure/antz_dialog.txt\n",
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      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Adventure/hudsonhawk_dialog.txt\n",
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      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Adventure/avatar_dialog.txt\n",
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      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Adventure/truelies_dialog.txt\n",
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      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Adventure/waroftheworlds_dialog.txt\n",
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      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Adventure/piratesofthecaribbean_dialog.txt\n",
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      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Adventure/startrekfirstcontact_dialog.txt\n",
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      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Adventure/cars2_dialog.txt\n",
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      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Adventure/fantasticmrfox_dialog.txt\n",
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      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Adventure/starwarstheempirestrikesback_dialog.txt\n",
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      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Adventure/huntforredoctoberthe_dialog.txt\n",
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      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Adventure/coraline_dialog.txt\n",
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      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Adventure/lastofthemohicansthe_dialog.txt\n",
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      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Adventure/excalibur_dialog.txt\n",
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      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Adventure/shrek_dialog.txt\n",
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      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Adventure/truegrit_dialog.txt\n",
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      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Adventure/howtotrainyourdragon2_dialog.txt\n",
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      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Adventure/terminatorsalvation_dialog.txt\n",
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      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Adventure/2001aspaceodyssey_dialog.txt\n",
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      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Adventure/ghostbusters2_dialog.txt\n",
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      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Adventure/threekingsspoilsofwar_dialog.txt\n",
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      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Adventure/2012_dialog.txt\n",
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      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Adventure/missionimpossibleii_dialog.txt\n",
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      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Adventure/frozendisney_dialog.txt\n",
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      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Adventure/hitchhikersguidetothegalaxythe_dialog.txt\n",
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      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Adventure/127hours_dialog.txt\n",
      "119\n",
      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Adventure/flashgordon_dialog.txt\n",
      "120\n",
      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Adventure/worldisnotenoughthe_dialog.txt\n",
      "121\n",
      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Adventure/hellboy_dialog.txt\n",
      "122\n",
      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Adventure/cirquedufreakthevampiresassistant_dialog.txt\n",
      "123\n",
      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Adventure/montecarlo_dialog.txt\n",
      "124\n",
      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Adventure/jaws_dialog.txt\n",
      "125\n",
      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Adventure/castaway_dialog.txt\n",
      "126\n",
      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Adventure/rambofirstbloodiithemission_dialog.txt\n",
      "127\n",
      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Adventure/piratesofthecaribbeandeadmanschest_dialog.txt\n",
      "128\n",
      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Adventure/willow_dialog.txt\n",
      "129\n",
      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Adventure/whitesquall_dialog.txt\n",
      "130\n",
      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Adventure/avengersthe2012_dialog.txt\n",
      "131\n",
      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Adventure/princessbridethe_dialog.txt\n",
      "132\n",
      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Adventure/dune_dialog.txt\n",
      "133\n",
      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Adventure/dumbanddumber_dialog.txt\n",
      "134\n",
      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Adventure/lordoftheringsreturnoftheking_dialog.txt\n",
      "135\n",
      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Adventure/indianajonesandthelastcrusade_dialog.txt\n",
      "136\n",
      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Adventure/startrekiithewrathofkhan_dialog.txt\n",
      "137\n",
      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Adventure/tomorrowneverdies_dialog.txt\n",
      "138\n",
      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/Adventure/cliffhanger_dialog.txt\n",
      "1\n",
      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/History/otherboleyngirlthe_dialog.txt\n",
      "2\n",
      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/History/laststationthe_dialog.txt\n",
      "3\n",
      "./data/imsdb_scenes_dialogs_nov_2015/dialogs/History/lincoln_dialog.txt\n",
      "       RawLine          Title   Genre         Char  LineID Speech  \\\n",
      "0  (CONTINUED)  redridinghood  Horror  (CONTINUED)       7          \n",
      "1   CONTINUED:  redridinghood  Horror   CONTINUED:       8          \n",
      "2  (CONTINUED)  redridinghood  Horror  (CONTINUED)      13          \n",
      "3   CONTINUED:  redridinghood  Horror   CONTINUED:      14          \n",
      "4  (CONTINUED)  redridinghood  Horror  (CONTINUED)      18          \n",
      "\n",
      "                        pkey  line_count  \n",
      "0  (continued)-redridinghood          92  \n",
      "1   continued:-redridinghood          76  \n",
      "2  (continued)-redridinghood          92  \n",
      "3   continued:-redridinghood          76  \n",
      "4  (continued)-redridinghood          92  \n"
>>>>>>> 8b509ff3c0508395cbe57aa3c85d921295105975
     ]
    }
   ],
   "source": [
    "all_movies_parsed = []\n",
    "counter=0\n",
    "curr_genre = None\n",
    "for i in files_list:\n",
    "    title = i.split('/')[5].split('_')[0]\n",
    "    genre = i.split('/')[4]\n",
<<<<<<< HEAD
<<<<<<< HEAD
    "    if genre=='Crime':\n",
=======
<<<<<<< HEAD
    "    if genre=='Drama':\n",
=======
    "    if genre=='Adventure':\n",
>>>>>>> d53afdacb9ab0d0d21d0d149b4cdb549cfb4e247
>>>>>>> 3ba93cf188ef8cb0271d9bfbcda065413fe06463
    "        print i\n",
    "        #print genre\n",
    "        title = title.strip()\n",
    "        genre = genre.strip()\n",
    "        movie = pd.read_fwf(\"%s\" % i,header=None, names=[\"RawLine\"],encoding='utf')\n",
    "        #print movie\n",
    "        try:\n",
    "            parsed = parse_movie(movie, genre, title)\n",
    "            #print parsed.head()\n",
    "            final_df = pipeline(movie)\n",
    "            char_list = final_df.drop_duplicates(subset='Char',keep='last')[['Char','Genre','Title','line_count']]\n",
    "            char_list_to_label.append(char_list)\n",
    "        except:\n",
    "            not_working.append((genre,title))\n",
    "        #print final_df.head()\n",
    "        print \"processing next movie\"\n",
    "chars= pd.concat(char_list_to_label)\n",
<<<<<<< HEAD
    "chars.to_csv('OutputCrimeCharacters.csv', index=False)\n",
=======
<<<<<<< HEAD
    "chars.to_csv('OutputDramaCharacters.csv', index=False)\n",
=======
    "chars.to_csv('OutputAdventureCharacters.csv', index=False)\n",
>>>>>>> d53afdacb9ab0d0d21d0d149b4cdb549cfb4e247
>>>>>>> 3ba93cf188ef8cb0271d9bfbcda065413fe06463
    "print not_working\n",
    "print chars"
=======
    "    if curr_genre != genre:\n",
    "        counter=0\n",
    "        curr_genre = genre\n",
    "    #print genre\n",
    "    counter+=1\n",
    "    print counter\n",
    "    print i\n",
    "    title = title.strip()\n",
    "    genre = genre.strip()\n",
    "    movie = pd.read_fwf(\"%s\" % i,header=None, names=[\"RawLine\"],encoding='utf')\n",
    "    #print movie\n",
    "    try:\n",
    "        parsed = parse_movie(movie, genre, title)\n",
    "        #print parsed.head()\n",
    "        final_df = pipeline(movie)\n",
    "        all_movies_parsed.append(final_df)\n",
    "    except:\n",
    "        pass\n",
    "all_movies = pd.concat(all_movies_parsed)\n",
    "\n",
    "print all_movies.head()"
>>>>>>> 8b509ff3c0508395cbe57aa3c85d921295105975
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
<<<<<<< HEAD
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[('Western', 'djangounchained'), ('Western', 'bookofelithe'), ('Western', 'wildwildwest')]\n"
     ]
    }
   ],
=======
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
>>>>>>> 8b509ff3c0508395cbe57aa3c85d921295105975
   "source": [
    "all_movies.to_pickle(\"AllMoviesDF.p\") "
   ]
  },
  {
   "cell_type": "code",
<<<<<<< HEAD
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[('Action', 'kingkong'), ('Action', 'xmen'), ('Action', 'threemusketeersthe'), ('Action', 'codeofsilence'), ('Action', 'timemachinethe'), ('Action', 'scarface'), ('Action', 'missionimpossible'), ('Action', 'oblivion'), ('Action', 'wildthingsdiamondsintherough'), ('Action', 'collateraldamage'), ('Action', 'bookofelithe'), ('Action', 'iamnumberfour'), ('Action', 'diehard2'), ('Action', 'thor'), ('Action', 'starshiptroopers'), ('Action', 'thunderbirds'), ('Action', 'crouchingtigerhiddendragon'), ('Action', 'clashofthetitans'), ('Action', 'virtuosity'), ('Action', 'commando'), ('Action', 'apocalypsenow'), ('Action', 'tmnt'), ('Action', 'deeprising'), ('Action', 'driveangry'), ('Action', 'heat'), ('Action', 'highlander'), ('Action', 'meninblack3'), ('Action', 'rush'), ('Action', 'threekings'), ('Action', 'blade'), ('Action', 'mechanicthe'), ('Action', 'thingthe'), ('Action', 'perfectworlda'), ('Action', 'indianajonesandthetempleofdoom'), ('Action', 'warrior'), ('Action', 'tron'), ('Action', 'hardtokill'), ('Action', 'constantine'), ('Action', 'godzilla'), ('Action', 'postmanthe'), ('Action', 'wildwildwest'), ('Action', 'enemyofthestate'), ('Action', 'sherlockholmes'), ('Action', 'startrekgenerations'), ('Action', 'swordfish'), ('Action', 'gamer'), ('Action', 'bourneultimatumthe'), ('Action', 'startrek'), ('Action', 'crank'), ('Action', 'jurassicpark'), ('Action', 'planetoftheapesthe'), ('Action', 'hudsonhawk'), ('Action', 'reservoirdogs'), ('Action', 'truelies'), ('Action', 'naturalbornkillers'), ('Action', 'twins'), ('Action', 'startrekfirstcontact'), ('Action', 'huntforredoctoberthe'), ('Action', 'austinpowersinternationalmanofmystery'), ('Action', 'pulpfiction'), ('Action', 'cowboysaliens'), ('Action', 'assassins'), ('Action', 'threekingsspoilsofwar'), ('Action', 'missionimpossibleii'), ('Action', 'badboys'), ('Action', 'pandorum'), ('Action', 'cirquedufreakthevampiresassistant'), ('Action', 'ninjaassassin'), ('Action', 'chaos'), ('Action', 'aloneinthedark'), ('Action', 'xfilesfightthefuturethe'), ('Action', 'rocknrolla'), ('Action', 'gonein60seconds'), ('Action', 'freddyvsjason'), ('Action', 'mightymorphinpowerrangersthemovie'), ('Action', 'priest'), ('Action', 'startrekiithewrathofkhan'), ('Action', 'debtthe')]\n"
     ]
    }
   ],
=======
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
>>>>>>> 8b509ff3c0508395cbe57aa3c85d921295105975
   "source": [
    "query = 'SELECT m.*, g.gender FROM all_movies m INNER JOIN gender_labels g on m.pkey = g.pkey'\n",
    "with_gender = sqldf(query, locals())\n",
    "with_gender = with_gender[with_gender['Char'] != '']\n",
    "with_gender = with_gender[with_gender['Speech'] != '']\n",
    "with_gender = with_gender.drop_duplicates(subset=['pkey','LineID','Speech'],keep='last')\n",
    "with_gender = with_gender.groupby(['gender','Char','Title','Genre','pkey','LineID']).Speech.unique().reset_index()            "
   ]
  },
  {
   "cell_type": "code",
<<<<<<< HEAD
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[('War', 'apocalypsenow'), ('War', 'lastofthemohicansthe'), ('War', 'menwhostareatgoatsthe'), ('War', 'threekings'), ('War', 'threekingsspoilsofwar'), ('War', 'valkyrie')]\n"
     ]
    }
   ],
   "source": [
    "print not_working"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[('Thriller', '12monkeys'), ('Thriller', 'absolutepower'), ('Thriller', 'adjustmentbureauthe'), ('Thriller', 'aloneinthedark'), ('Thriller', 'assassins'), ('Thriller', 'bodyheat'), ('Thriller', 'bookofelithe'), ('Thriller', 'bourneultimatumthe'), ('Thriller', 'cecilbdemented'), ('Thriller', 'chaos'), ('Thriller', 'cirquedufreakthevampiresassistant'), ('Thriller', 'collateraldamage'), ('Thriller', 'commando'), ('Thriller', 'constantine'), ('Thriller', 'cowboysaliens'), ('Thriller', 'crank'), ('Thriller', 'debtthe'), ('Thriller', 'deeprising'), ('Thriller', 'devilinabluedress'), ('Thriller', 'devilsadvocate'), ('Thriller', 'diehard2'), ('Thriller', 'disturbia'), ('Thriller', 'easternpromises'), ('Thriller', 'enemyofthestate'), ('Thriller', 'enough'), ('Thriller', 'freddyvsjason'), ('Thriller', 'fridaythe13th'), ('Thriller', 'frightnight1985'), ('Thriller', 'frozen'), ('Thriller', 'gamer'), ('Thriller', 'gamethe'), ('Thriller', 'gattaca'), ('Thriller', 'godzilla'), ('Thriller', 'heat'), ('Thriller', 'hellraiserdeader'), ('Thriller', 'hillshaveeyesthe'), ('Thriller', 'huntforredoctoberthe'), ('Thriller', 'iamnumberfour'), ('Thriller', 'insiderthe'), ('Thriller', 'jurassicpark'), ('Thriller', 'kingkong'), ('Thriller', 'lawabidingcitizen'), ('Thriller', 'leviathan'), ('Thriller', 'lincolnlawyerthe'), ('Thriller', 'manchuriancandidatethe'), ('Thriller', 'manwhoknewtoomuchthe'), ('Thriller', 'margincall'), ('Thriller', 'mechanicthe'), ('Thriller', 'mimic'), ('Thriller', 'mirrors'), ('Thriller', 'missionimpossible'), ('Thriller', 'missionimpossibleii'), ('Thriller', 'moon'), ('Thriller', 'naturalbornkillers'), ('Thriller', 'nextthreedaysthe'), ('Thriller', 'ninesthe'), ('Thriller', 'ninjaassassin'), ('Thriller', 'nursebetty'), ('Thriller', 'oceanseleven'), ('Thriller', 'outofsight'), ('Thriller', 'peepingtom'), ('Thriller', 'pulpfiction'), ('Thriller', 'relicthe'), ('Thriller', 'reservoirdogs'), ('Thriller', 'ringu'), ('Thriller', 'se7en'), ('Thriller', 'sherlockholmes'), ('Thriller', 'sixthsensethe'), ('Thriller', 'strangersonatrain'), ('Thriller', 'swordfish'), ('Thriller', 'syriana'), ('Thriller', 'talentedmrripleythe'), ('Thriller', 'theragecarrie2'), ('Thriller', 'thingthe'), ('Thriller', 'timberfalls'), ('Thriller', 'tinkertailorsoldierspy'), ('Thriller', 'traffic'), ('Thriller', 'truelies'), ('Thriller', 'twinpeaks'), ('Thriller', 'unknown'), ('Thriller', 'usualsuspectsthe'), ('Thriller', 'uturn'), ('Thriller', 'valkyrie'), ('Thriller', 'virtuosity'), ('Thriller', 'whileshewasout'), ('Thriller', 'whistleblowerthe'), ('Thriller', 'whitejazz'), ('Thriller', 'wildthingsdiamondsintherough'), ('Thriller', 'windchill'), ('Thriller', 'xfilesfightthefuturethe')]\n"
     ]
    }
   ],
   "source": [
<<<<<<< HEAD
    "print not_working"
=======
    "\"\"\"\n",
    "This takes forever, don't need to run it again. We saved the pickle files (separately by genre)\n",
    "\n",
    "all_movies_parsed = []\n",
    "counter=0\n",
    "curr_genre = None\n",
    "for i in files_list:\n",
    "    title = i.split('/')[5].split('_')[0]\n",
    "    genre = i.split('/')[4]\n",
    "    if curr_genre != genre:\n",
    "        counter=0\n",
    "        curr_genre = genre\n",
    "    #print genre\n",
    "    counter+=1\n",
    "    print counter\n",
    "    print i\n",
    "    title = title.strip()\n",
    "    genre = genre.strip()\n",
    "    movie = pd.read_fwf(\"%s\" % i,header=None, names=[\"RawLine\"],encoding='utf')\n",
    "    #print movie\n",
    "    try:\n",
    "        parsed = parse_movie(movie, genre, title)\n",
    "        #print parsed.head()\n",
    "        final_df = pipeline(movie)\n",
    "        all_movies_parsed.append(final_df)\n",
    "    except:\n",
    "        pass\n",
    "all_movies = pd.concat(all_movies_parsed)\n",
    "\n",
    "print all_movies.head()\n",
    "\"\"\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#all_movies.to_pickle(\"AllMoviesDF.p\")  #too big for git"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#with_gender.to_pickle(\"WithGenderDF.p\") #already pickled, don't run again"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "RawLine       336144\n",
       "Title         336144\n",
       "Genre         336144\n",
       "Char          336144\n",
       "LineID        336144\n",
       "Speech        336144\n",
       "pkey          336144\n",
       "line_count    336144\n",
       "dtype: int64"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#splitting up pickle files by genre so git will accept them\n",
    "\n",
    "#all_movies_1 = all_movies[all_movies['Genre']=='Drama']\n",
    "#all_movies_1 = all_movies_1[all_movies_1['LineID']>=500]\n",
    "#all_movies_1.to_pickle(\"Drama2Movies.p\")\n",
    "#all_movies_1.count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['./MoviePickles/SportMovies.p', './MoviePickles/ThrillerMovies.p', './MoviePickles/Drama1Movies.p', './MoviePickles/ShortMovies.p', './MoviePickles/BiographyMovies.p', './MoviePickles/ActionMovies.p', './MoviePickles/FamilyMovies.p', './MoviePickles/MusicalMovies.p', './MoviePickles/ComedyMovies.p', './MoviePickles/HorrorMovies.p', './MoviePickles/MusicMovies.p', './MoviePickles/FilmNoirMovies.p', './MoviePickles/WesternMovies.p', './MoviePickles/Drama2Movies.p', './MoviePickles/AnimationMovies.p', './MoviePickles/RomanceMovies.p', './MoviePickles/CrimeMovies.p', './MoviePickles/AdventureMovies.p', './MoviePickles/FantasyMovies.p', './MoviePickles/WarMovies.p', './MoviePickles/HistoryMovies.p', './MoviePickles/SciFiMovies.p', './MoviePickles/MysteryMovies.p']\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>RawLine</th>\n",
       "      <th>Title</th>\n",
       "      <th>Genre</th>\n",
       "      <th>Char</th>\n",
       "      <th>LineID</th>\n",
       "      <th>Speech</th>\n",
       "      <th>pkey</th>\n",
       "      <th>line_count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>BRANDON VOICEOVER</td>\n",
       "      <td>twoforthemoney</td>\n",
       "      <td>Sport</td>\n",
       "      <td>BRANDON VOICEOVER</td>\n",
       "      <td>3</td>\n",
       "      <td></td>\n",
       "      <td>brandon_voiceover-twoforthemoney</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>BRANDON VOICEOVER</td>\n",
       "      <td>twoforthemoney</td>\n",
       "      <td>Sport</td>\n",
       "      <td>BRANDON VOICEOVER</td>\n",
       "      <td>4</td>\n",
       "      <td></td>\n",
       "      <td>brandon_voiceover-twoforthemoney</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Stands packed.  A PLAY CLOCK fills the SCREEN....</td>\n",
       "      <td>twoforthemoney</td>\n",
       "      <td>Sport</td>\n",
       "      <td>BRANDON VOICEOVER</td>\n",
       "      <td>4</td>\n",
       "      <td>Stands packed.  A PLAY CLOCK fills the SCREEN....</td>\n",
       "      <td>brandon voiceover-twoforthemoney</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>10 exhausted, desperate faces come close, hang...</td>\n",
       "      <td>twoforthemoney</td>\n",
       "      <td>Sport</td>\n",
       "      <td>BRANDON VOICEOVER</td>\n",
       "      <td>4</td>\n",
       "      <td>10 exhausted, desperate faces come close, hang...</td>\n",
       "      <td>brandon voiceover-twoforthemoney</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>BRANDON</td>\n",
       "      <td>twoforthemoney</td>\n",
       "      <td>Sport</td>\n",
       "      <td>BRANDON</td>\n",
       "      <td>5</td>\n",
       "      <td></td>\n",
       "      <td>brandon-twoforthemoney</td>\n",
       "      <td>360</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                             RawLine           Title  Genre  \\\n",
       "0                                  BRANDON VOICEOVER  twoforthemoney  Sport   \n",
       "1                                  BRANDON VOICEOVER  twoforthemoney  Sport   \n",
       "2  Stands packed.  A PLAY CLOCK fills the SCREEN....  twoforthemoney  Sport   \n",
       "3  10 exhausted, desperate faces come close, hang...  twoforthemoney  Sport   \n",
       "4                                            BRANDON  twoforthemoney  Sport   \n",
       "\n",
       "                Char  LineID  \\\n",
       "0  BRANDON VOICEOVER       3   \n",
       "1  BRANDON VOICEOVER       4   \n",
       "2  BRANDON VOICEOVER       4   \n",
       "3  BRANDON VOICEOVER       4   \n",
       "4            BRANDON       5   \n",
       "\n",
       "                                              Speech  \\\n",
       "0                                                      \n",
       "1                                                      \n",
       "2  Stands packed.  A PLAY CLOCK fills the SCREEN....   \n",
       "3  10 exhausted, desperate faces come close, hang...   \n",
       "4                                                      \n",
       "\n",
       "                               pkey  line_count  \n",
       "0  brandon_voiceover-twoforthemoney          22  \n",
       "1  brandon_voiceover-twoforthemoney          22  \n",
       "2  brandon voiceover-twoforthemoney          22  \n",
       "3  brandon voiceover-twoforthemoney          22  \n",
       "4            brandon-twoforthemoney         360  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#loop for reading the pickled files back in \n",
    "pickles_list = glob.glob(\"./MoviePickles/*Movies.p\")\n",
    "\n",
    "print pickles_list\n",
    "all_movies_pickled=[]\n",
    "for pickle in pickles_list:\n",
    "    all_movies_pickled.append(pd.read_pickle(pickle))\n",
    "\n",
    "all_movies = pd.concat(all_movies_pickled)\n",
    "all_movies.head()   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "query = 'SELECT m.*, g.gender FROM all_movies m INNER JOIN gender_labels_all g on m.pkey = g.pkey'\n",
    "with_gender = sqldf(query, locals())\n",
    "with_gender.head()\n",
    "with_gender = with_gender[with_gender['Char'] != '']\n",
    "with_gender = with_gender[with_gender['Speech'] != '']\n",
    "with_gender = with_gender.drop_duplicates(subset=['pkey','LineID','Speech'],keep='last')\n",
    "with_gender = with_gender.groupby(['gender','Char','Title','Genre','pkey','LineID']).Speech.unique().reset_index()   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Char</th>\n",
       "      <th>Genre</th>\n",
       "      <th>Title</th>\n",
       "      <th>line_count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>171</th>\n",
       "      <td>MICKENA</td>\n",
       "      <td>Thriller</td>\n",
       "      <td>assignmentthe</td>\n",
       "      <td>58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1533</th>\n",
       "      <td>CARLA</td>\n",
       "      <td>Thriller</td>\n",
       "      <td>assignmentthe</td>\n",
       "      <td>134</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1836</th>\n",
       "      <td>AGNIESKA</td>\n",
       "      <td>Thriller</td>\n",
       "      <td>assignmentthe</td>\n",
       "      <td>65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2009</th>\n",
       "      <td>KOJ</td>\n",
       "      <td>Thriller</td>\n",
       "      <td>assignmentthe</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2027</th>\n",
       "      <td>AMOS</td>\n",
       "      <td>Thriller</td>\n",
       "      <td>assignmentthe</td>\n",
       "      <td>366</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          Char     Genre          Title  line_count\n",
       "171    MICKENA  Thriller  assignmentthe          58\n",
       "1533     CARLA  Thriller  assignmentthe         134\n",
       "1836  AGNIESKA  Thriller  assignmentthe          65\n",
       "2009       KOJ  Thriller  assignmentthe          37\n",
       "2027      AMOS  Thriller  assignmentthe         366"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "chars = all_movies.drop_duplicates(subset=['Char','Title'],keep='last')[['Char','Genre','Title','line_count']]\n",
    "chars.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "query = 'SELECT m.*, g.gender FROM chars m LEFT JOIN gender_labels g on m.Char = g.Char and m.Title=g.Title'\n",
    "remaining = sqldf(query, locals())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "remaining = remaining[remaining['gender'] != \"M\"]\n",
    "remaining = remaining[remaining['gender'] != \"F\"]\n",
    "remaining.count()\n",
    "remaining.to_csv('Remaining.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "with_gender.to_pickle(\"WithGenderFinal.p\") "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "with_gender = pd.read_pickle(\"WithGenderFinal.p\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "M    201934\n",
       "F     84804\n",
       "Name: gender, dtype: int64"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "with_gender['gender'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "66.2"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "round(143817.0/(143817+73298)*100,1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "65.3"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#baseline accuracy from picking most common class\n",
    "round(20700.0/(20700+11017)*100,1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>gender</th>\n",
       "      <th>Char</th>\n",
       "      <th>Title</th>\n",
       "      <th>Genre</th>\n",
       "      <th>pkey</th>\n",
       "      <th>LineID</th>\n",
       "      <th>Speech</th>\n",
       "      <th>Line</th>\n",
       "      <th>linelength</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>F</td>\n",
       "      <td>A.D.</td>\n",
       "      <td>battleofshakerheightsthe</td>\n",
       "      <td>Romance</td>\n",
       "      <td>a.d.-battleofshakerheightsthe</td>\n",
       "      <td>739</td>\n",
       "      <td>[Okay, everyone. We're going to start, positio...</td>\n",
       "      <td>Okay, everyone. We're going to start positioni...</td>\n",
       "      <td>239</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>F</td>\n",
       "      <td>A.D.</td>\n",
       "      <td>battleofshakerheightsthe</td>\n",
       "      <td>Romance</td>\n",
       "      <td>a.d.-battleofshakerheightsthe</td>\n",
       "      <td>741</td>\n",
       "      <td>[Great. We'd like to use it. Can you, drive it...</td>\n",
       "      <td>Great. We'd like to use it. Can you drive it b...</td>\n",
       "      <td>72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>F</td>\n",
       "      <td>A.D.</td>\n",
       "      <td>battleofshakerheightsthe</td>\n",
       "      <td>Romance</td>\n",
       "      <td>a.d.-battleofshakerheightsthe</td>\n",
       "      <td>744</td>\n",
       "      <td>[Don't know. We've got enough people., It does...</td>\n",
       "      <td>Don't know. We've got enough people. It doesn'...</td>\n",
       "      <td>55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>F</td>\n",
       "      <td>A.D.</td>\n",
       "      <td>battleofshakerheightsthe</td>\n",
       "      <td>Romance</td>\n",
       "      <td>a.d.-battleofshakerheightsthe</td>\n",
       "      <td>746</td>\n",
       "      <td>[(yells), Okay people. Listen to my voice., Fr...</td>\n",
       "      <td>(yells) Okay people. Listen to my voice. From ...</td>\n",
       "      <td>103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>F</td>\n",
       "      <td>A.D.</td>\n",
       "      <td>battleofshakerheightsthe</td>\n",
       "      <td>Romance</td>\n",
       "      <td>a.d.-battleofshakerheightsthe</td>\n",
       "      <td>763</td>\n",
       "      <td>[Standby for rehearsal. Cue the, explosion.]</td>\n",
       "      <td>Standby for rehearsal. Cue the explosion.</td>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  gender  Char                     Title    Genre  \\\n",
       "0      F  A.D.  battleofshakerheightsthe  Romance   \n",
       "1      F  A.D.  battleofshakerheightsthe  Romance   \n",
       "2      F  A.D.  battleofshakerheightsthe  Romance   \n",
       "3      F  A.D.  battleofshakerheightsthe  Romance   \n",
       "4      F  A.D.  battleofshakerheightsthe  Romance   \n",
       "\n",
       "                            pkey  LineID  \\\n",
       "0  a.d.-battleofshakerheightsthe     739   \n",
       "1  a.d.-battleofshakerheightsthe     741   \n",
       "2  a.d.-battleofshakerheightsthe     744   \n",
       "3  a.d.-battleofshakerheightsthe     746   \n",
       "4  a.d.-battleofshakerheightsthe     763   \n",
       "\n",
       "                                              Speech  \\\n",
       "0  [Okay, everyone. We're going to start, positio...   \n",
       "1  [Great. We'd like to use it. Can you, drive it...   \n",
       "2  [Don't know. We've got enough people., It does...   \n",
       "3  [(yells), Okay people. Listen to my voice., Fr...   \n",
       "4       [Standby for rehearsal. Cue the, explosion.]   \n",
       "\n",
       "                                                Line  linelength  \n",
       "0  Okay, everyone. We're going to start positioni...         239  \n",
       "1  Great. We'd like to use it. Can you drive it b...          72  \n",
       "2  Don't know. We've got enough people. It doesn'...          55  \n",
       "3  (yells) Okay people. Listen to my voice. From ...         103  \n",
       "4          Standby for rehearsal. Cue the explosion.          41  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "line_column=[]\n",
    "for i in with_gender.index:\n",
    "        line_column.append(' '.join(with_gender['Speech'][i]))\n",
    "with_gender['Line']=line_column\n",
    "\n",
    "with_gender['linelength']=with_gender['Line'].str.len()\n",
    "with_gender.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Char</th>\n",
       "      <th>Title</th>\n",
       "      <th>Genre</th>\n",
       "      <th>pkey</th>\n",
       "      <th>LineID</th>\n",
       "      <th>Speech</th>\n",
       "      <th>Line</th>\n",
       "      <th>linelength</th>\n",
       "      <th>M</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>A.D.</td>\n",
       "      <td>battleofshakerheightsthe</td>\n",
       "      <td>Romance</td>\n",
       "      <td>a.d.-battleofshakerheightsthe</td>\n",
       "      <td>739</td>\n",
       "      <td>[Okay, everyone. We're going to start, positio...</td>\n",
       "      <td>Okay, everyone. We're going to start positioni...</td>\n",
       "      <td>239</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>A.D.</td>\n",
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       "      <td>Romance</td>\n",
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       "      <td>741</td>\n",
       "      <td>[Great. We'd like to use it. Can you, drive it...</td>\n",
       "      <td>Great. We'd like to use it. Can you drive it b...</td>\n",
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       "      <td>0</td>\n",
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       "      <td>Romance</td>\n",
       "      <td>a.d.-battleofshakerheightsthe</td>\n",
       "      <td>744</td>\n",
       "      <td>[Don't know. We've got enough people., It does...</td>\n",
       "      <td>Don't know. We've got enough people. It doesn'...</td>\n",
       "      <td>55</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>A.D.</td>\n",
       "      <td>battleofshakerheightsthe</td>\n",
       "      <td>Romance</td>\n",
       "      <td>a.d.-battleofshakerheightsthe</td>\n",
       "      <td>746</td>\n",
       "      <td>[(yells), Okay people. Listen to my voice., Fr...</td>\n",
       "      <td>(yells) Okay people. Listen to my voice. From ...</td>\n",
       "      <td>103</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>A.D.</td>\n",
       "      <td>battleofshakerheightsthe</td>\n",
       "      <td>Romance</td>\n",
       "      <td>a.d.-battleofshakerheightsthe</td>\n",
       "      <td>763</td>\n",
       "      <td>[Standby for rehearsal. Cue the, explosion.]</td>\n",
       "      <td>Standby for rehearsal. Cue the explosion.</td>\n",
       "      <td>41</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Char                     Title    Genre                           pkey  \\\n",
       "0  A.D.  battleofshakerheightsthe  Romance  a.d.-battleofshakerheightsthe   \n",
       "1  A.D.  battleofshakerheightsthe  Romance  a.d.-battleofshakerheightsthe   \n",
       "2  A.D.  battleofshakerheightsthe  Romance  a.d.-battleofshakerheightsthe   \n",
       "3  A.D.  battleofshakerheightsthe  Romance  a.d.-battleofshakerheightsthe   \n",
       "4  A.D.  battleofshakerheightsthe  Romance  a.d.-battleofshakerheightsthe   \n",
       "\n",
       "   LineID                                             Speech  \\\n",
       "0     739  [Okay, everyone. We're going to start, positio...   \n",
       "1     741  [Great. We'd like to use it. Can you, drive it...   \n",
       "2     744  [Don't know. We've got enough people., It does...   \n",
       "3     746  [(yells), Okay people. Listen to my voice., Fr...   \n",
       "4     763       [Standby for rehearsal. Cue the, explosion.]   \n",
       "\n",
       "                                                Line  linelength  M  \n",
       "0  Okay, everyone. We're going to start positioni...         239  0  \n",
       "1  Great. We'd like to use it. Can you drive it b...          72  0  \n",
       "2  Don't know. We've got enough people. It doesn'...          55  0  \n",
       "3  (yells) Okay people. Listen to my voice. From ...         103  0  \n",
       "4          Standby for rehearsal. Cue the explosion.          41  0  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "with_gender_dum = pd.get_dummies(with_gender['gender'])\n",
    "with_gender = pd.concat([with_gender, with_gender_dum],axis=1).drop(['F','gender'],1)\n",
    "with_gender.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(229390, 9)\n",
      "(28674, 9)\n",
      "(28674, 9)\n"
     ]
    }
   ],
   "source": [
    "with_gender_shuffle = shuffle(with_gender, random_state = 5)\n",
    "\n",
    "\n",
    "# Randomly split into training and dev with scikit-learn helper function\n",
    "train, test = train_test_split(with_gender_shuffle, test_size=0.2, random_state=100)\n",
    "dev, test = train_test_split(test, test_size=0.5, random_state=200)\n",
    "\n",
    "print train.shape\n",
    "print dev.shape\n",
    "print test.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Char</th>\n",
       "      <th>Title</th>\n",
       "      <th>Genre</th>\n",
       "      <th>pkey</th>\n",
       "      <th>Line</th>\n",
       "      <th>linelength</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>151043</th>\n",
       "      <td>GARY</td>\n",
       "      <td>antitrust</td>\n",
       "      <td>Crime</td>\n",
       "      <td>gary-antitrust</td>\n",
       "      <td>The purpose of this company isn't to destroy o...</td>\n",
       "      <td>226</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62727</th>\n",
       "      <td>NADIA</td>\n",
       "      <td>birthdaygirl</td>\n",
       "      <td>Crime</td>\n",
       "      <td>nadia-birthdaygirl</td>\n",
       "      <td>I know you just want to punish me --</td>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>203327</th>\n",
       "      <td>MARTY</td>\n",
       "      <td>marty</td>\n",
       "      <td>Romance</td>\n",
       "      <td>marty-marty</td>\n",
       "      <td>I like you. I like you. I been telling you all...</td>\n",
       "      <td>67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39225</th>\n",
       "      <td>JENNIFER</td>\n",
       "      <td>scream3</td>\n",
       "      <td>Mystery</td>\n",
       "      <td>jennifer-scream3</td>\n",
       "      <td>Sidney, what happened?</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102806</th>\n",
       "      <td>BLOOM</td>\n",
       "      <td>producerthe</td>\n",
       "      <td>Comedy</td>\n",
       "      <td>bloom-producerthe</td>\n",
       "      <td>I never should have listened to you.</td>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Char         Title    Genre                pkey  \\\n",
       "151043      GARY     antitrust    Crime      gary-antitrust   \n",
       "62727      NADIA  birthdaygirl    Crime  nadia-birthdaygirl   \n",
       "203327     MARTY         marty  Romance         marty-marty   \n",
       "39225   JENNIFER       scream3  Mystery    jennifer-scream3   \n",
       "102806     BLOOM   producerthe   Comedy   bloom-producerthe   \n",
       "\n",
       "                                                     Line  linelength  \n",
       "151043  The purpose of this company isn't to destroy o...         226  \n",
       "62727                I know you just want to punish me --          36  \n",
       "203327  I like you. I like you. I been telling you all...          67  \n",
       "39225                              Sidney, what happened?          22  \n",
       "102806               I never should have listened to you.          36  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_y, dev_y, test_y = train.M, dev.M, test.M\n",
    "train_X = train.drop(['M','Speech','LineID'],1)\n",
    "dev_X = dev.drop(['M','Speech','LineID'],1)\n",
    "test_X = test.drop(['M','Speech','LineID'],1)\n",
    "dev_X.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "vocab size (all) 49940\n",
      "Logistic Regression on Line Lengths\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/michelle_m_kim/anaconda2/lib/python2.7/site-packages/sklearn/utils/validation.py:526: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  y = column_or_1d(y, warn=True)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Weighted F1 Score:\n",
      "0.827766648951\n",
      "Accuracy\n",
      "0.706144939667\n",
      "[[    0  8426]\n",
      " [    0 20248]]\n",
      "-----------------------\n",
      "Naive Bayes on Lines\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/michelle_m_kim/anaconda2/lib/python2.7/site-packages/sklearn/metrics/classification.py:1115: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 in labels with no true samples.\n",
      "  'recall', 'true', average, warn_for)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Weighted F1 Score:\n",
      "0.746418459334\n",
      "Accuracy\n",
      "0.705656692474\n",
      "[[ 1887  6539]\n",
      " [ 1901 18347]]\n",
      "-----------------------\n",
      "Logistic Regression on Lines\n",
      "Weighted F1 Score:\n",
      "0.790219113174\n",
      "Accuracy\n",
      "0.716921252703\n",
      "[[ 1018  7408]\n",
      " [  709 19539]]\n",
      "Word Weights (Negative = More Female, Positive = More Male)\n",
      "Feature         Male                          \n",
      "aibileen        -3.826                        \n",
      "hilly           -3.821                        \n",
      "herself         -3.791                        \n",
      "annabelle       -3.495                        \n",
      "willoughby      -3.252                        \n",
      "minny           -2.955                        \n",
      "alvy            -2.892                        \n",
      "joel            -2.875                        \n",
      "skeeter         -2.857                        \n",
      "eugene          -2.783                        \n",
      "leopold         -2.762                        \n",
      "evan            -2.726                        \n",
      "sandro          -2.706                        \n",
      "ernesto         -2.66                         \n",
      "bartholomew     -2.659                        \n",
      "man             2.22                          \n",
      "weed            2.247                         \n",
      "artoo           2.273                         \n",
      "sayer           2.277                         \n",
      "keyes           2.294                         \n",
      "kumar           2.303                         \n",
      "kubelik         2.31                          \n",
      "hildy           2.346                         \n",
      "arnold          2.53                          \n",
      "sammy           2.636                         \n",
      "himself         2.653                         \n",
      "shifty          2.7                           \n",
      "fuckin          2.866                         \n",
      "pal             2.974                         \n",
      "dude            3.142                         \n",
      "-----------------------\n"
     ]
    }
   ],
   "source": [
    "#baseline models\n",
    "\n",
    "train_lines = train_X.Line.values\n",
    "dev_lines = dev_X.Line.values\n",
    "\n",
    "v = TfidfVectorizer()\n",
    "v_train=v.fit_transform(train_lines)\n",
    "vocab_train=v.vocabulary_\n",
    "\n",
    "print \"vocab size (all)\", len(v.vocabulary_)\n",
    "\n",
    "v_dev = v.transform(dev_lines)\n",
    "\n",
    "print 'Logistic Regression on Line Lengths'\n",
    "lg = LogisticRegression()\n",
    "lg.fit(train_X.linelength.values.reshape(-1,1), train_y.values.reshape(-1,1))\n",
    "print 'Weighted F1 Score:'\n",
    "print metrics.f1_score(lg.predict(dev_X.linelength.values.reshape(-1,1)),dev_y.values.reshape(-1,1),average='weighted')\n",
    "print 'Accuracy'\n",
    "print metrics.accuracy_score(lg.predict(dev_X.linelength.values.reshape(-1,1)),dev_y.values.reshape(-1,1))\n",
    "print confusion_matrix(dev_y.values.reshape(-1,1),lg.predict(dev_X.linelength.values.reshape(-1,1)))\n",
    "print '-----------------------'\n",
    "\n",
    "print 'Naive Bayes on Lines'\n",
    "nb = BernoulliNB()\n",
    "nb.fit(v_train, train_y.values.reshape(-1,1))\n",
    "nb_pred = nb.predict(v_dev)\n",
    "print 'Weighted F1 Score:'\n",
    "print metrics.f1_score(nb_pred,dev_y.values.reshape(-1,1),average='weighted')\n",
    "print 'Accuracy'\n",
    "print metrics.accuracy_score(nb_pred,dev_y.values.reshape(-1,1))\n",
    "print confusion_matrix(dev_y.values.reshape(-1,1),nb_pred)\n",
    "#for i in range(100):\n",
    "#    if dev_y.values.reshape(-1,1)[i]==nb_pred[i] and nb_pred[i]==0:\n",
    "#        print \"correct:\", dev_lines[i], dev_y.values.reshape(-1,1)[i]\n",
    "print '-----------------------'\n",
    "\n",
    "\n",
    "print 'Logistic Regression on Lines'\n",
    "lg = LogisticRegression()\n",
    "lg.fit(v_train, train_y.values.reshape(-1,1))\n",
    "print 'Weighted F1 Score:'\n",
    "print metrics.f1_score(lg.predict(v_dev),dev_y.values.reshape(-1,1),average='weighted')\n",
    "print 'Accuracy'\n",
    "print metrics.accuracy_score(lg.predict(v_dev),dev_y.values.reshape(-1,1))\n",
    "print confusion_matrix(dev_y.values.reshape(-1,1),lg.predict(v_dev))\n",
    "\n",
    "\n",
    "features = list()\n",
    "#words that are mostly male\n",
    "max_weights = list(np.argpartition(lg.coef_[0],-15))[-15:]\n",
    "for w in max_weights:\n",
    "    features.append(w)\n",
    "#words that are mostly female\n",
    "min_weights = list(np.argpartition(lg.coef_[0],15))[:15]\n",
    "for m in min_weights:\n",
    "    features.append(m)\n",
    "\n",
    "#Make a table with these features and weights\n",
    "table={}\n",
    "for f in features:\n",
    "    weights=list()\n",
    "    weights.append(round(lg.coef_[0][f],3))\n",
    "    table[str(v.get_feature_names()[f])]=weights\n",
    "\n",
    "\n",
    "\n",
    "#Print the table\n",
    "print 'Word Weights (Negative = More Female, Positive = More Male)'\n",
    "\n",
    "print \"{:<15} {:<30}\".format('Feature', 'Male')\n",
    "for key in sorted(table, key=table.get):\n",
    "    print \"{:<15} {:<30}\".format(key, table[key][0])\n",
    "\n",
    "\n",
    "\n",
    "print '-----------------------'"
>>>>>>> b7d5cd08fcab4b60e607953183ef1653d2311336
   ]
  },
  {
   "cell_type": "code",
<<<<<<< HEAD
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[]\n"
     ]
    }
   ],
   "source": [
    "print not_working"
=======
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>M</th>\n",
       "      <th>Char</th>\n",
       "      <th>Title</th>\n",
       "      <th>Genre</th>\n",
       "      <th>pkey</th>\n",
       "      <th>Line</th>\n",
       "      <th>AllLines</th>\n",
       "      <th>Split</th>\n",
       "      <th>VocabSize</th>\n",
       "      <th>WordCount</th>\n",
       "      <th>VocabRatio</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>A.D.</td>\n",
       "      <td>battleofshakerheightsthe</td>\n",
       "      <td>Romance</td>\n",
       "      <td>a.d.-battleofshakerheightsthe</td>\n",
       "      <td>[Okay, everyone. We're going to start position...</td>\n",
       "      <td>Okay, everyone. We're going to start positioni...</td>\n",
       "      <td>{matter.(yells), over, tree., through, We're, ...</td>\n",
       "      <td>97</td>\n",
       "      <td>763</td>\n",
       "      <td>0.127130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0</td>\n",
       "      <td>ABBY</td>\n",
       "      <td>arsenicandoldlace</td>\n",
       "      <td>Crime</td>\n",
       "      <td>abby-arsenicandoldlace</td>\n",
       "      <td>[Reverend Harper, I do hope you don't disappro...</td>\n",
       "      <td>Reverend Harper, I do hope you don't disapprov...</td>\n",
       "      <td>{neighbors, all, forget, Brophy, Harper, worms...</td>\n",
       "      <td>818</td>\n",
       "      <td>10966</td>\n",
       "      <td>0.074594</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0</td>\n",
       "      <td>ABIGAIL</td>\n",
       "      <td>bladetrinity</td>\n",
       "      <td>Fantasy</td>\n",
       "      <td>abigail-bladetrinity</td>\n",
       "      <td>[Scream if this hurts, chica., I can., Forget ...</td>\n",
       "      <td>Scream if this hurts, chica.I can.Forget it, K...</td>\n",
       "      <td>{I'll, all, six, wedlock., just, don't, blood....</td>\n",
       "      <td>220</td>\n",
       "      <td>1678</td>\n",
       "      <td>0.131108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0</td>\n",
       "      <td>ADA</td>\n",
       "      <td>coldmountain</td>\n",
       "      <td>War</td>\n",
       "      <td>ada-coldmountain</td>\n",
       "      <td>[Very much. It's beautiful country., Anyone? L...</td>\n",
       "      <td>Very much. It's beautiful country.Anyone? Like...</td>\n",
       "      <td>{did.I, all, own.This, novel.(writing,, Amen.,...</td>\n",
       "      <td>830</td>\n",
       "      <td>9228</td>\n",
       "      <td>0.089944</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>ADELE</td>\n",
       "      <td>kalifornia</td>\n",
       "      <td>Crime</td>\n",
       "      <td>adele-kalifornia</td>\n",
       "      <td>[Early, you are so sweet., I feel kind of like...</td>\n",
       "      <td>Early, you are so sweet.I feel kind of like th...</td>\n",
       "      <td>{all, pictures., forget, astronauts, four, Tak...</td>\n",
       "      <td>597</td>\n",
       "      <td>6302</td>\n",
       "      <td>0.094732</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   M     Char                     Title    Genre  \\\n",
       "0  0     A.D.  battleofshakerheightsthe  Romance   \n",
       "1  0     ABBY         arsenicandoldlace    Crime   \n",
       "2  0  ABIGAIL              bladetrinity  Fantasy   \n",
       "3  0      ADA              coldmountain      War   \n",
       "4  0    ADELE                kalifornia    Crime   \n",
       "\n",
       "                            pkey  \\\n",
       "0  a.d.-battleofshakerheightsthe   \n",
       "1         abby-arsenicandoldlace   \n",
       "2           abigail-bladetrinity   \n",
       "3               ada-coldmountain   \n",
       "4               adele-kalifornia   \n",
       "\n",
       "                                                Line  \\\n",
       "0  [Okay, everyone. We're going to start position...   \n",
       "1  [Reverend Harper, I do hope you don't disappro...   \n",
       "2  [Scream if this hurts, chica., I can., Forget ...   \n",
       "3  [Very much. It's beautiful country., Anyone? L...   \n",
       "4  [Early, you are so sweet., I feel kind of like...   \n",
       "\n",
       "                                            AllLines  \\\n",
       "0  Okay, everyone. We're going to start positioni...   \n",
       "1  Reverend Harper, I do hope you don't disapprov...   \n",
       "2  Scream if this hurts, chica.I can.Forget it, K...   \n",
       "3  Very much. It's beautiful country.Anyone? Like...   \n",
       "4  Early, you are so sweet.I feel kind of like th...   \n",
       "\n",
       "                                               Split  VocabSize  WordCount  \\\n",
       "0  {matter.(yells), over, tree., through, We're, ...         97        763   \n",
       "1  {neighbors, all, forget, Brophy, Harper, worms...        818      10966   \n",
       "2  {I'll, all, six, wedlock., just, don't, blood....        220       1678   \n",
       "3  {did.I, all, own.This, novel.(writing,, Amen.,...        830       9228   \n",
       "4  {all, pictures., forget, astronauts, four, Tak...        597       6302   \n",
       "\n",
       "   VocabRatio  \n",
       "0    0.127130  \n",
       "1    0.074594  \n",
       "2    0.131108  \n",
       "3    0.089944  \n",
       "4    0.094732  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#getting each character's vocab size\n",
    "with_gender_vocabs = with_gender.groupby(['M','Char','Title','Genre','pkey']).Line.unique().reset_index() \n",
    "allline_column=[]\n",
    "for i in with_gender_vocabs.index:\n",
    "        allline_column.append(''.join(with_gender_vocabs['Line'][i]))\n",
    "with_gender_vocabs['AllLines']=allline_column\n",
    "\n",
    "with_gender_vocabs['Split']=with_gender_vocabs['AllLines'].str.split().apply(set)\n",
    "with_gender_vocabs['VocabSize']=with_gender_vocabs['Split'].str.len()\n",
    "with_gender_vocabs['WordCount']=with_gender_vocabs['AllLines'].str.len()\n",
    "with_gender_vocabs['VocabRatio']=with_gender_vocabs['VocabSize']/with_gender_vocabs['WordCount']\n",
    "with_gender_vocabs.head()"
>>>>>>> b7d5cd08fcab4b60e607953183ef1653d2311336
   ]
  },
  {
   "cell_type": "code",
<<<<<<< HEAD
   "execution_count": 31,
   "metadata": {},
=======
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
>>>>>>> b7d5cd08fcab4b60e607953183ef1653d2311336
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
<<<<<<< HEAD
      "[('Short', 'mymotherdreamsthesatansdisciplesinnewyork')]\n"
=======
      "(4391, 11)\n",
      "(1098, 11)\n",
      "Logistic Regression on Vocab Size\n",
      "Weighted F1 Score:\n",
      "0.838095238095\n",
      "Accuracy\n",
      "0.72131147541\n",
      "Confusion Matrix\n",
      "[[  0 306]\n",
      " [  0 792]]\n",
      "-----------------------\n",
      "Logistic Regression on Ratio Vocab Size/Word Count\n",
      "Weighted F1 Score:\n",
      "0.838095238095\n",
      "Accuracy\n",
      "0.72131147541\n",
      "-----------------------\n"
>>>>>>> b7d5cd08fcab4b60e607953183ef1653d2311336
     ]
    }
   ],
   "source": [
<<<<<<< HEAD
    "print not_working"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[('Sci-Fi', '12monkeys'), ('Sci-Fi', '2001aspaceodyssey'), ('Sci-Fi', 'adjustmentbureauthe'), ('Sci-Fi', 'blade'), ('Sci-Fi', 'bookofelithe'), ('Sci-Fi', 'boxthe'), ('Sci-Fi', 'brazil'), ('Sci-Fi', 'cowboysaliens'), ('Sci-Fi', 'gamer'), ('Sci-Fi', 'gattaca'), ('Sci-Fi', 'godzilla'), ('Sci-Fi', 'hitchhikersguidetothegalaxythe'), ('Sci-Fi', 'iamnumberfour'), ('Sci-Fi', 'jurassicpark'), ('Sci-Fi', 'leviathan'), ('Sci-Fi', 'manchuriancandidatethe'), ('Sci-Fi', 'meninblack3'), ('Sci-Fi', 'mimic'), ('Sci-Fi', 'moon'), ('Sci-Fi', 'oblivion'), ('Sci-Fi', 'pandorum'), ('Sci-Fi', 'paul'), ('Sci-Fi', 'planetoftheapesthe'), ('Sci-Fi', 'postmanthe'), ('Sci-Fi', 'priest'), ('Sci-Fi', 'starshiptroopers'), ('Sci-Fi', 'startrek'), ('Sci-Fi', 'startrekfirstcontact'), ('Sci-Fi', 'startrekgenerations'), ('Sci-Fi', 'startrekiithewrathofkhan'), ('Sci-Fi', 'startrekthemotionpicture'), ('Sci-Fi', 'theragecarrie2'), ('Sci-Fi', 'thingthe'), ('Sci-Fi', 'timemachinethe'), ('Sci-Fi', 'tremors'), ('Sci-Fi', 'tron'), ('Sci-Fi', 'twins'), ('Sci-Fi', 'virtuosity'), ('Sci-Fi', 'wildwildwest'), ('Sci-Fi', 'xfilesfightthefuturethe'), ('Sci-Fi', 'xmen')]\n"
     ]
    }
   ],
   "source": [
    "print not_working"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[('Romance', '10thingsihateaboutyou'), ('Romance', 'adjustmentbureauthe'), ('Romance', 'americanwerewolfinlondon'), ('Romance', 'artistthe'), ('Romance', 'blastfromthepastthe'), ('Romance', 'brothersbloomthe'), ('Romance', 'brucealmighty'), ('Romance', 'bulldurham'), ('Romance', 'crazystupidlove'), ('Romance', 'crouchingtigerhiddendragon'), ('Romance', 'cruelintentions'), ('Romance', 'curiouscaseofbenjaminbuttonthe'), ('Romance', 'extract'), ('Romance', 'familymanthe'), ('Romance', 'gardenstate'), ('Romance', 'hallpass'), ('Romance', 'hardtokill'), ('Romance', 'howtolosefriendsalienatepeople'), ('Romance', 'iloveyouphillipmorris'), ('Romance', 'inventingtheabbotts'), ('Romance', 'itscomplicated'), ('Romance', 'janeeyre'), ('Romance', 'lastofthemohicansthe'), ('Romance', 'loveandbasketball'), ('Romance', 'majesticthethebijou'), ('Romance', 'mantrouble'), ('Romance', 'midnightinparis'), ('Romance', 'montecarlo'), ('Romance', 'naturalbornkillers'), ('Romance', 'nextthreedaysthe'), ('Romance', 'ninotchka'), ('Romance', 'nostringsattached'), ('Romance', 'otherboleyngirlthe'), ('Romance', 'outofsight'), ('Romance', 'perksofbeingawallflowerthe'), ('Romance', 'prettywoman'), ('Romance', 'prideandprejudice'), ('Romance', 'rachelgettingmarried'), ('Romance', 'rustandbone'), ('Romance', 'savethelastdance'), ('Romance', 'sessionsthe'), ('Romance', 'sexandthecity'), ('Romance', 'slumdogmillionaire'), ('Romance', 'spanglish'), ('Romance', 'stelmosfire'), ('Romance', 'tamaradrewe'), ('Romance', 'theressomethingaboutmary'), ('Romance', 'threemusketeersthe'), ('Romance', 'tincup'), ('Romance', 'truelies'), ('Romance', 'uglytruththe'), ('Romance', 'whitechristmas')]\n"
     ]
    }
   ],
   "source": [
    "print not_working"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[('Mystery', 'agnesofgod'), ('Mystery', 'aprilfoolsday'), ('Mystery', 'bourneultimatumthe'), ('Mystery', 'boxthe'), ('Mystery', 'brick'), ('Mystery', 'curiouscaseofbenjaminbuttonthe'), ('Mystery', 'devilinabluedress'), ('Mystery', 'easternpromises'), ('Mystery', 'fridaythe13th'), ('Mystery', 'gamethe'), ('Mystery', 'girlwiththedragontattoothe'), ('Mystery', 'hellraiserdeader'), ('Mystery', 'imaginariumofdoctorparnassusthe'), ('Mystery', 'kingkong'), ('Mystery', 'manchuriancandidatethe'), ('Mystery', 'mirrors'), ('Mystery', 'missionimpossibleii'), ('Mystery', 'moon'), ('Mystery', 'nightmareonelmstreeta'), ('Mystery', 'nightmareonelmstreetthefinalchapter'), ('Mystery', 'ninesthe'), ('Mystery', 'ringu'), ('Mystery', 'se7en'), ('Mystery', 'sherlockholmes'), ('Mystery', 'sixthsensethe'), ('Mystery', 'sleepyhollow'), ('Mystery', 'talentedmrripleythe'), ('Mystery', 'tinkertailorsoldierspy'), ('Mystery', 'twinpeaks'), ('Mystery', 'unknown'), ('Mystery', 'usualsuspectsthe'), ('Mystery', 'whitejazz'), ('Mystery', 'wildthingsdiamondsintherough')]\n"
     ]
    }
   ],
   "source": [
    "print not_working"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[('Musical', 'marypoppins'), ('Musical', 'nashville'), ('Musical', 'newsies'), ('Musical', 'southpark'), ('Musical', 'sweeneytoddthedemonbarberoffleetstreet'), ('Musical', 'whitechristmas')]\n"
     ]
    }
   ],
   "source": [
    "print not_working"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[]\n"
     ]
    }
   ],
   "source": [
    "print not_working"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[('Horror', 'aloneinthedark'), ('Horror', 'americanwerewolfinlondon'), ('Horror', 'aprilfoolsday'), ('Horror', 'blade'), ('Horror', 'bones'), ('Horror', 'constantine'), ('Horror', 'deeprising'), ('Horror', 'devilsadvocate'), ('Horror', 'freddyvsjason'), ('Horror', 'fridaythe13th'), ('Horror', 'fridaythe13thpartviiijasontakesmanhattan'), ('Horror', 'frightnight1985'), ('Horror', 'frightnight'), ('Horror', 'hellraiser'), ('Horror', 'hellraiserdeader'), ('Horror', 'hillshaveeyesthe'), ('Horror', 'jurassicpark'), ('Horror', 'leviathan'), ('Horror', 'littlenicky'), ('Horror', 'mimic'), ('Horror', 'mirrors'), ('Horror', 'nightmareonelmstreeta'), ('Horror', 'nightmareonelmstreetthefinalchapter'), ('Horror', 'ninesthe'), ('Horror', 'pandorum'), ('Horror', 'peepingtom'), ('Horror', 'petsemataryii'), ('Horror', 'priest'), ('Horror', 'queenofthedamned'), ('Horror', 'relicthe'), ('Horror', 'ringu'), ('Horror', 'silverbullet'), ('Horror', 'sixthsensethe'), ('Horror', 'sleepyhollow'), ('Horror', 'sweeneytoddthedemonbarberoffleetstreet'), ('Horror', 'talentedmrripleythe'), ('Horror', 'theragecarrie2'), ('Horror', 'thingthe'), ('Horror', 'timberfalls'), ('Horror', 'tremors'), ('Horror', 'twinpeaks'), ('Horror', 'windchill')]\n"
     ]
    }
   ],
   "source": [
    "print not_working"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[('History', 'laststationthe'), ('History', 'lincoln'), ('History', 'otherboleyngirlthe')]\n"
     ]
    }
   ],
   "source": [
    "print not_working"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[('Film-Noir', 'strangersonatrain'), ('Film-Noir', 'sunsetblvd')]\n"
     ]
    }
   ],
   "source": [
    "print not_working"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[('Fantasy', 'antz'), ('Fantasy', 'beingjohnmalkovich'), ('Fantasy', 'brazil'), ('Fantasy', 'brucealmighty'), ('Fantasy', 'cirquedufreakthevampiresassistant'), ('Fantasy', 'clashofthetitans'), ('Fantasy', 'constantine'), ('Fantasy', 'crouchingtigerhiddendragon'), ('Fantasy', 'curiouscaseofbenjaminbuttonthe'), ('Fantasy', 'driveangry'), ('Fantasy', 'flintstonesthe'), ('Fantasy', 'freddyvsjason'), ('Fantasy', 'highlander'), ('Fantasy', 'imaginariumofdoctorparnassusthe'), ('Fantasy', 'littlenicky'), ('Fantasy', 'marypoppins'), ('Fantasy', 'midnightinparis'), ('Fantasy', 'thor'), ('Fantasy', 'tmnt'), ('Fantasy', 'tron')]\n"
     ]
    }
   ],
   "source": [
    "print not_working"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[('Family', 'fantasticmrfox'), ('Family', 'flintstonesthe'), ('Family', 'marypoppins'), ('Family', 'mightymorphinpowerrangersthemovie'), ('Family', 'newsies'), ('Family', 'riseoftheguardians')]\n"
     ]
    }
   ],
   "source": [
    "print not_working"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[('Adventure', '2001aspaceodyssey'), ('Adventure', 'antz'), ('Adventure', 'bookofelithe'), ('Adventure', 'bourneultimatumthe'), ('Adventure', 'brothersbloomthe'), ('Adventure', 'cirquedufreakthevampiresassistant'), ('Adventure', 'clashofthetitans'), ('Adventure', 'crouchingtigerhiddendragon'), ('Adventure', 'djangounchained'), ('Adventure', 'fantasticmrfox'), ('Adventure', 'hitchhikersguidetothegalaxythe'), ('Adventure', 'hudsonhawk'), ('Adventure', 'huntforredoctoberthe'), ('Adventure', 'imaginariumofdoctorparnassusthe'), ('Adventure', 'indianajonesandthetempleofdoom'), ('Adventure', 'jurassicpark'), ('Adventure', 'kingkong'), ('Adventure', 'lastofthemohicansthe'), ('Adventure', 'manwhoknewtoomuchthe'), ('Adventure', 'missionimpossible'), ('Adventure', 'missionimpossibleii'), ('Adventure', 'montecarlo'), ('Adventure', 'oblivion'), ('Adventure', 'paranorman'), ('Adventure', 'paul'), ('Adventure', 'postmanthe'), ('Adventure', 'riseoftheguardians'), ('Adventure', 'sherlockholmes'), ('Adventure', 'shrekthethird'), ('Adventure', 'startrek'), ('Adventure', 'startrekfirstcontact'), ('Adventure', 'startrekgenerations'), ('Adventure', 'startrekiithewrathofkhan'), ('Adventure', 'thor'), ('Adventure', 'threekings'), ('Adventure', 'threekingsspoilsofwar'), ('Adventure', 'threemusketeersthe'), ('Adventure', 'thunderbirds'), ('Adventure', 'timemachinethe'), ('Adventure', 'tmnt'), ('Adventure', 'tron'), ('Adventure', 'truelies')]\n"
     ]
    }
   ],
   "source": [
    "print not_working"
=======
    "#use vocab size to represent complexity of speech\n",
    "\n",
    "with_gender_vocabsz_shuffle = shuffle(with_gender_vocabs, random_state = 5)\n",
    "\n",
    "\n",
    "train_vocabsz, test_vocabsz = train_test_split(with_gender_vocabsz_shuffle, test_size=0.2, random_state=100)\n",
    "print train_vocabsz.shape\n",
    "print test_vocabsz.shape\n",
    "\n",
    "vs_train_y, vs_test_y = train_vocabsz.M, test_vocabsz.M\n",
    "vs_train_X = train_vocabsz.drop(['M'],1)\n",
    "vs_test_X = test_vocabsz.drop(['M'],1)\n",
    "vs_test_X.head()\n",
    "\n",
    "\n",
    "print 'Logistic Regression on Vocab Size'\n",
    "lg_vs = LogisticRegression()\n",
    "lg_vs.fit(vs_train_X.VocabSize.values.reshape(-1,1), vs_train_y.values.reshape(-1,1))\n",
    "lg_vs_pred = lg_vs.predict(vs_test_X.VocabSize.values.reshape(-1,1))\n",
    "print 'Weighted F1 Score:'\n",
    "print metrics.f1_score(lg_vs_pred,vs_test_y.values.reshape(-1,1),average='weighted')\n",
    "print 'Accuracy'\n",
    "print metrics.accuracy_score(lg_vs_pred,vs_test_y.values.reshape(-1,1))\n",
    "print 'Confusion Matrix'\n",
    "print confusion_matrix(vs_test_y.values.reshape(-1,1),lg_vs_pred)\n",
    "print '-----------------------'\n",
    "\n",
    "print 'Logistic Regression on Ratio Vocab Size/Word Count'\n",
    "lg_vsr = LogisticRegression()\n",
    "lg_vsr.fit(vs_train_X.VocabRatio.values.reshape(-1,1), vs_train_y.values.reshape(-1,1))\n",
    "print 'Weighted F1 Score:'\n",
    "print metrics.f1_score(lg_vsr.predict(vs_test_X.VocabRatio.values.reshape(-1,1)),vs_test_y.values.reshape(-1,1),average='weighted')\n",
    "print 'Accuracy'\n",
    "print metrics.accuracy_score(lg_vsr.predict(vs_test_X.VocabRatio.values.reshape(-1,1)),vs_test_y.values.reshape(-1,1))\n",
    "print '-----------------------'"
>>>>>>> b7d5cd08fcab4b60e607953183ef1653d2311336
   ]
  },
  {
   "cell_type": "code",
<<<<<<< HEAD
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                            RawLine   Title      Genre    Char  LineID  \\\n",
      "0                            AVATAR  avatar  Adventure  AVATAR       1   \n",
      "1                        Written by  avatar  Adventure  AVATAR       1   \n",
      "2                     James Cameron  avatar  Adventure  AVATAR       1   \n",
      "3                      VOICE (V.O.)  avatar  Adventure   VOICE       2   \n",
      "4  When I was lying there in the VA  avatar  Adventure   VOICE       2   \n",
      "\n",
      "                             Speech  \n",
      "0                                    \n",
      "1                        Written by  \n",
      "2                     James Cameron  \n",
      "3                                    \n",
      "4  When I was lying there in the VA  \n"
     ]
    }
   ],
=======
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
>>>>>>> 8b509ff3c0508395cbe57aa3c85d921295105975
=======
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/michelle_m_kim/anaconda2/lib/python2.7/site-packages/matplotlib/font_manager.py:1297: UserWarning: findfont: Font family [u'sans-serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n"
     ]
    },
    {
     "data": {
      "image/png": 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Vq1bhiiuusL/GgoICjBgxAmaz2f5fy5Yt0aZNG/uyqC7H1+yoc+fOyMrKwuOPP449e/Zc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hUjsw3+KVhftcWiFWUO7oc2NGrqnXExLmyqvtMSB5lnzfwK2fKvfFchttbcY+mahKyZX4F1MhKK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\nUAGSoy0hISEhISEhISGhAv4/ZOeUdmGMxSsAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fdd000e1fd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
>>>>>>> b7d5cd08fcab4b60e607953183ef1653d2311336
   "source": [
    "import seaborn as sns\n",
    "from matplotlib import pyplot as plt\n",
    "%matplotlib inline\n",
    "sns.set(style='darkgrid', palette='muted', color_codes=True)\n",
    "f, axes = plt.subplots(1,1, figsize=(12,8))\n",
    "plt.title(\"Vocab Size Distributions by Gender and Movie Genre\",fontsize=16)\n",
    "sns.despine = True\n",
    "sns.violinplot(data = with_gender_vocabs, x =\"Genre\", y=\"VocabSize\", hue=\"M\",split=True)\n",
    "plt.xticks(rotation=45)\n",
    "#plt.setp(axes, yticks=a)\n",
    "plt.legend()\n",
    "plt.plot()"
   ]
  },
  {
   "cell_type": "code",
<<<<<<< HEAD
<<<<<<< HEAD
   "execution_count": 65,
   "metadata": {},
=======
   "execution_count": 43,
=======
   "execution_count": 18,
>>>>>>> b7d5cd08fcab4b60e607953183ef1653d2311336
   "metadata": {
    "collapsed": false
   },
>>>>>>> 8b509ff3c0508395cbe57aa3c85d921295105975
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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AAECCCM8AAABAggjPAAAAQIIIzwAAAECCCM8AAABAggjPAAAAQIIIzwAAAECC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\nEZEzpPAsIiIiInKGFJ5FRERERM7Q/wceZrHdER78XgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fdd033e14d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set(style='darkgrid', palette='muted', color_codes=True)\n",
    "f, axes = plt.subplots(1,1, figsize=(12,8))\n",
    "plt.title(\"Vocab Size Distributions by Gender\",fontsize=16)\n",
    "sns.distplot(with_gender_vocabs[with_gender_vocabs['M']==1]['VocabSize'],label='Male')\n",
    "sns.distplot(with_gender_vocabs[with_gender_vocabs['M']==0]['VocabSize'],label='Female')\n",
    "#plt.setp(axes, yticks=a)\n",
    "plt.legend()\n",
    "plt.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Drama        1087\n",
       "Crime         781\n",
       "Romance       722\n",
       "Sci-Fi        542\n",
       "Mystery       509\n",
       "Comedy        423\n",
       "Adventure     388\n",
       "Fantasy       338\n",
       "Horror        199\n",
       "War           170\n",
       "Action        166\n",
       "Western        37\n",
       "Music          36\n",
       "Thriller       35\n",
       "Animation      28\n",
       "Film-Noir      16\n",
       "Musical        12\n",
       "Name: Genre, dtype: int64"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "with_gender_vocabs['Genre'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "\n",
    "#model\n",
    "import numpy as np\n",
    "from keras.models import Sequential\n",
    "from keras.layers import Dense\n",
    "data = np.random.random((1000,100))\n",
    "labels = np.random.randint(2,size=(1000,1))\n",
    "model = Sequential()\n",
    "model.add(Dense(32, activation='relu', input_dim=100))\n",
    "model.add(Dense(1, activation='sigmoid'))\n",
    "model.compile(optimizer='rmsprop', loss='binary_crossentropy', metrics=['accuracy'])\n",
    "model.fit(data,labels,epochs=10,batch_size=32)\n",
    "predictions = model.predict(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from urllib.request import urlopen\n",
    "data = np.loadtxt(urlopen(\"http://archive.ics.uci.edu/ml/machine-learning-databases/pima-indians-diabetes/pima-indians-diabetes.data\"),delimiter=\",\")\n",
    "X = data[:,0:8]\n",
    "y = data [:,8]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "##Preprocessing\n",
    "\n",
    "#Sequence Padding\n",
    "from keras.preprocessing import sequence\n",
    "x_train4 = sequence.pad_sequences(x_train4,maxlen=80)\n",
    "x_test4 = sequence.pad_sequences(x_test4,maxlen=80)\n",
    "\n",
    "#One-Hot Encoding\n",
    "from keras.utils import to_categorical\n",
    "Y_train = to_categorical(y_train, num_classes)\n",
    "Y_test = to_categorical(y_test, num_classes)\n",
    "Y_train3 = to_categorical(y_train3, num_classes)\n",
    "Y_test3 = to_categorical(y_test3, num_classes)\n",
    "\n",
    "#Train And Test Sets\n",
    "from sklearn.model_selection import train_test_split\n",
    "X_train5, X_test5, y_train5, y_test5 = train_test_split(X, y, test_size=0.33, random_state=42)\n",
    "\n",
    "#Standardization/Normalization\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "scaler = StandardScaler().fit(x_train2)\n",
    "standardized_X = scaler.transform(x_train2)\n",
    "standardized_X_test = scaler.transform(x_test2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#binary classification\n",
    "from keras.layers import Dense\n",
    "model.add(Dense(12, input_dim=8, kernel_initializer='uniform', activation='relu'))\n",
    "model.add(Dense(8, kernel_initializer='uniform', activation='relu'))\n",
    "model.add(Dense(1, kernel_initializer='uniform', activation='sigmoid'))"
   ]
<<<<<<< HEAD
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [],
   "source": [
    "### create a csv combiner code\n",
    "!sed 1d Output*.csv > merged.csv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
=======
>>>>>>> 8b509ff3c0508395cbe57aa3c85d921295105975
  }
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