{
  "nbformat_minor": 0, 
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  "cells": [
    {
      "execution_count": 1, 
      "cell_type": "code", 
      "source": [
        "%matplotlib inline\n", 
        "import pandas as pd"
      ], 
      "outputs": [], 
      "metadata": {
        "collapsed": false
      }
    }, 
    {
      "execution_count": 2, 
      "cell_type": "code", 
      "source": [
        "from IPython.core.display import HTML\n", 
        "css = open('style-table.css').read() + open('style-notebook.css').read()\n", 
        "HTML('<style>{}</style>'.format(css))"
      ], 
      "outputs": [
        {
          "execution_count": 2, 
          "output_type": "execute_result", 
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ], 
            "text/html": [
              "<style>body {\n", 
              "    margin: 0;\n", 
              "    font-family: Helvetica;\n", 
              "}\n", 
              "table.dataframe {\n", 
              "    border-collapse: collapse;\n", 
              "    border: none;\n", 
              "}\n", 
              "table.dataframe tr {\n", 
              "    border: none;\n", 
              "}\n", 
              "table.dataframe td, table.dataframe th {\n", 
              "    margin: 0;\n", 
              "    border: 1px solid white;\n", 
              "    padding-left: 0.25em;\n", 
              "    padding-right: 0.25em;\n", 
              "}\n", 
              "table.dataframe th:not(:empty) {\n", 
              "    background-color: #fec;\n", 
              "    text-align: left;\n", 
              "    font-weight: normal;\n", 
              "}\n", 
              "table.dataframe tr:nth-child(2) th:empty {\n", 
              "    border-left: none;\n", 
              "    border-right: 1px dashed #888;\n", 
              "}\n", 
              "table.dataframe td {\n", 
              "    border: 2px solid #ccf;\n", 
              "    background-color: #f4f4ff;\n", 
              "}\n", 
              "h3 {\n", 
              "    color: white;\n", 
              "    background-color: black;\n", 
              "    padding: 0.5em;\n", 
              "}\n", 
              "</style>"
            ]
          }, 
          "metadata": {}
        }
      ], 
      "metadata": {
        "collapsed": false
      }
    }, 
    {
      "execution_count": 3, 
      "cell_type": "code", 
      "source": [
        "titles = pd.DataFrame.from_csv('data/titles.csv', index_col=None)\n", 
        "titles.head()"
      ], 
      "outputs": [
        {
          "execution_count": 3, 
          "output_type": "execute_result", 
          "data": {
            "text/plain": [
              "                          title  year\n", 
              "0                 A L\u00e9lek \u00f3r\u00e1sa  1923\n", 
              "1  Aizaugusa gravi viegli krist  1986\n", 
              "2                     Agliyorum  1988\n", 
              "3                         0_1_0  2008\n", 
              "4              97 fung lau mung  1994"
            ], 
            "text/html": [
              "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n", 
              "<table border=\"1\" class=\"dataframe\">\n", 
              "  <thead>\n", 
              "    <tr style=\"text-align: right;\">\n", 
              "      <th></th>\n", 
              "      <th>title</th>\n", 
              "      <th>year</th>\n", 
              "    </tr>\n", 
              "  </thead>\n", 
              "  <tbody>\n", 
              "    <tr>\n", 
              "      <th>0</th>\n", 
              "      <td>A L\u00e9lek \u00f3r\u00e1sa</td>\n", 
              "      <td>1923</td>\n", 
              "    </tr>\n", 
              "    <tr>\n", 
              "      <th>1</th>\n", 
              "      <td>Aizaugusa gravi viegli krist</td>\n", 
              "      <td>1986</td>\n", 
              "    </tr>\n", 
              "    <tr>\n", 
              "      <th>2</th>\n", 
              "      <td>Agliyorum</td>\n", 
              "      <td>1988</td>\n", 
              "    </tr>\n", 
              "    <tr>\n", 
              "      <th>3</th>\n", 
              "      <td>0_1_0</td>\n", 
              "      <td>2008</td>\n", 
              "    </tr>\n", 
              "    <tr>\n", 
              "      <th>4</th>\n", 
              "      <td>97 fung lau mung</td>\n", 
              "      <td>1994</td>\n", 
              "    </tr>\n", 
              "  </tbody>\n", 
              "</table>\n", 
              "</div>"
            ]
          }, 
          "metadata": {}
        }
      ], 
      "metadata": {
        "collapsed": false
      }
    }, 
    {
      "execution_count": 4, 
      "cell_type": "code", 
      "source": [
        "cast = pd.DataFrame.from_csv('data/cast.csv', index_col=None)\n", 
        "cast.head()"
      ], 
      "outputs": [
        {
          "execution_count": 4, 
          "output_type": "execute_result", 
          "data": {
            "text/plain": [
              "                           title  year               name   type  \\\n", 
              "0                       The Core  2003  Alejandro Abellan  actor   \n", 
              "1         Il momento di uccidere  1968    Remo De Angelis  actor   \n", 
              "2              Across the Divide  1921      Thomas Delmar  actor   \n", 
              "3                          Revan  2012        Diego James  actor   \n", 
              "4  Un homme marche dans la ville  1950       Fabien Loris  actor   \n", 
              "\n", 
              "        character   n  \n", 
              "0  U.S.S. Soldier NaN  \n", 
              "1            Dago   9  \n", 
              "2            Dago   4  \n", 
              "3            Dago NaN  \n", 
              "4            Dago  12  "
            ], 
            "text/html": [
              "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n", 
              "<table border=\"1\" class=\"dataframe\">\n", 
              "  <thead>\n", 
              "    <tr style=\"text-align: right;\">\n", 
              "      <th></th>\n", 
              "      <th>title</th>\n", 
              "      <th>year</th>\n", 
              "      <th>name</th>\n", 
              "      <th>type</th>\n", 
              "      <th>character</th>\n", 
              "      <th>n</th>\n", 
              "    </tr>\n", 
              "  </thead>\n", 
              "  <tbody>\n", 
              "    <tr>\n", 
              "      <th>0</th>\n", 
              "      <td>The Core</td>\n", 
              "      <td>2003</td>\n", 
              "      <td>Alejandro Abellan</td>\n", 
              "      <td>actor</td>\n", 
              "      <td>U.S.S. Soldier</td>\n", 
              "      <td>NaN</td>\n", 
              "    </tr>\n", 
              "    <tr>\n", 
              "      <th>1</th>\n", 
              "      <td>Il momento di uccidere</td>\n", 
              "      <td>1968</td>\n", 
              "      <td>Remo De Angelis</td>\n", 
              "      <td>actor</td>\n", 
              "      <td>Dago</td>\n", 
              "      <td>9</td>\n", 
              "    </tr>\n", 
              "    <tr>\n", 
              "      <th>2</th>\n", 
              "      <td>Across the Divide</td>\n", 
              "      <td>1921</td>\n", 
              "      <td>Thomas Delmar</td>\n", 
              "      <td>actor</td>\n", 
              "      <td>Dago</td>\n", 
              "      <td>4</td>\n", 
              "    </tr>\n", 
              "    <tr>\n", 
              "      <th>3</th>\n", 
              "      <td>Revan</td>\n", 
              "      <td>2012</td>\n", 
              "      <td>Diego James</td>\n", 
              "      <td>actor</td>\n", 
              "      <td>Dago</td>\n", 
              "      <td>NaN</td>\n", 
              "    </tr>\n", 
              "    <tr>\n", 
              "      <th>4</th>\n", 
              "      <td>Un homme marche dans la ville</td>\n", 
              "      <td>1950</td>\n", 
              "      <td>Fabien Loris</td>\n", 
              "      <td>actor</td>\n", 
              "      <td>Dago</td>\n", 
              "      <td>12</td>\n", 
              "    </tr>\n", 
              "  </tbody>\n", 
              "</table>\n", 
              "</div>"
            ]
          }, 
          "metadata": {}
        }
      ], 
      "metadata": {
        "collapsed": false
      }
    }, 
    {
      "execution_count": null, 
      "cell_type": "code", 
      "source": [], 
      "outputs": [], 
      "metadata": {
        "collapsed": false
      }
    }, 
    {
      "source": "### Define a year as a \"Superman year\" whose films feature more Superman characters than Batman. How many years in film history have been Superman years?", 
      "cell_type": "markdown", 
      "metadata": {
        "collapsed": true
      }
    }, 
    {
      "execution_count": null, 
      "cell_type": "code", 
      "source": [], 
      "outputs": [], 
      "metadata": {
        "collapsed": true
      }
    }, 
    {
      "execution_count": null, 
      "cell_type": "code", 
      "source": [], 
      "outputs": [], 
      "metadata": {
        "collapsed": true
      }
    }, 
    {
      "source": "### How many years have been \"Batman years\", with more Batman characters than Superman characters?", 
      "cell_type": "markdown", 
      "metadata": {
        "collapsed": true
      }
    }, 
    {
      "execution_count": null, 
      "cell_type": "code", 
      "source": [], 
      "outputs": [], 
      "metadata": {
        "collapsed": true
      }
    }, 
    {
      "execution_count": null, 
      "cell_type": "code", 
      "source": [], 
      "outputs": [], 
      "metadata": {
        "collapsed": true
      }
    }, 
    {
      "source": "### Plot the number of actor roles each year and the number of actress roles each year over the history of film.", 
      "cell_type": "markdown", 
      "metadata": {
        "collapsed": true
      }
    }, 
    {
      "execution_count": null, 
      "cell_type": "code", 
      "source": [], 
      "outputs": [], 
      "metadata": {
        "collapsed": true
      }
    }, 
    {
      "execution_count": null, 
      "cell_type": "code", 
      "source": [], 
      "outputs": [], 
      "metadata": {
        "collapsed": true
      }
    }, 
    {
      "source": "### Plot the number of actor roles each year and the number of actress roles each year, but this time as a kind='area' plot.", 
      "cell_type": "markdown", 
      "metadata": {
        "collapsed": true
      }
    }, 
    {
      "execution_count": null, 
      "cell_type": "code", 
      "source": [], 
      "outputs": [], 
      "metadata": {
        "collapsed": true
      }
    }, 
    {
      "execution_count": null, 
      "cell_type": "code", 
      "source": [], 
      "outputs": [], 
      "metadata": {
        "collapsed": true
      }
    }, 
    {
      "source": "### Plot the difference between the number of actor roles each year and the number of actress roles each year over the history of film.", 
      "cell_type": "markdown", 
      "metadata": {
        "collapsed": true
      }
    }, 
    {
      "execution_count": null, 
      "cell_type": "code", 
      "source": [], 
      "outputs": [], 
      "metadata": {
        "collapsed": true
      }
    }, 
    {
      "execution_count": null, 
      "cell_type": "code", 
      "source": [], 
      "outputs": [], 
      "metadata": {
        "collapsed": true
      }
    }, 
    {
      "source": "### Plot the fraction of roles that have been 'actor' roles each year in the hitsory of film.", 
      "cell_type": "markdown", 
      "metadata": {
        "collapsed": true
      }
    }, 
    {
      "execution_count": null, 
      "cell_type": "code", 
      "source": [], 
      "outputs": [], 
      "metadata": {
        "collapsed": true
      }
    }, 
    {
      "execution_count": null, 
      "cell_type": "code", 
      "source": [], 
      "outputs": [], 
      "metadata": {
        "collapsed": true
      }
    }, 
    {
      "source": "### Plot the fraction of supporting (n=2) roles that have been 'actor' roles each year in the history of film.", 
      "cell_type": "markdown", 
      "metadata": {
        "collapsed": true
      }
    }, 
    {
      "execution_count": null, 
      "cell_type": "code", 
      "source": [], 
      "outputs": [], 
      "metadata": {
        "collapsed": true
      }
    }, 
    {
      "execution_count": null, 
      "cell_type": "code", 
      "source": [], 
      "outputs": [], 
      "metadata": {
        "collapsed": true
      }
    }, 
    {
      "source": "### Build a plot with a line for each rank n=1 through n=3, where the line shows what fraction of that rank's roles were 'actor' roles for each year in the history of film.", 
      "cell_type": "markdown", 
      "metadata": {
        "collapsed": true
      }
    }, 
    {
      "execution_count": null, 
      "cell_type": "code", 
      "source": [], 
      "outputs": [], 
      "metadata": {
        "collapsed": true
      }
    }, 
    {
      "execution_count": null, 
      "cell_type": "code", 
      "source": [], 
      "outputs": [], 
      "metadata": {
        "collapsed": true
      }
    }
  ], 
  "metadata": {
    "kernelspec": {
      "display_name": "Python 3", 
      "name": "python3", 
      "language": "python"
    }, 
    "language_info": {
      "mimetype": "text/x-python", 
      "nbconvert_exporter": "python", 
      "name": "python", 
      "file_extension": ".py", 
      "version": "3.4.3", 
      "pygments_lexer": "ipython3", 
      "codemirror_mode": {
        "version": 3, 
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  }
}