Solutions-4.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "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>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "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))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "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 Lélek órása</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>"
      ],
      "text/plain": [
       "                          title  year\n",
       "0                 A Lélek órása  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"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "titles = pd.DataFrame.from_csv('data/titles.csv', index_col=None)\n",
    "titles.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "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>"
      ],
      "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  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cast = pd.DataFrame.from_csv('data/cast.csv', index_col=None)\n",
    "cast.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "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>character</th>\n",
       "      <th>Batman</th>\n",
       "      <th>Superman</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>year</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1938</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1940</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1943</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1948</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1949</th>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "character  Batman  Superman\n",
       "year                       \n",
       "1938            1         0\n",
       "1940            1         0\n",
       "1943            1         0\n",
       "1948            0         1\n",
       "1949            2         0"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Define a year as a \"Superman year\"\n",
    "# whose films feature more Superman characters than Batman.\n",
    "# How many years in film history have been Superman years?\n",
    "\n",
    "c = cast\n",
    "c = c[(c.character == 'Superman') | (c.character == 'Batman')]\n",
    "c = c.groupby(['year', 'character']).size()\n",
    "c = c.unstack()\n",
    "c = c.fillna(0)\n",
    "c.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Superman years:\n",
      "15\n"
     ]
    }
   ],
   "source": [
    "d = c.Superman - c.Batman\n",
    "print('Superman years:')\n",
    "print(len(d[d > 0.0]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Batman years:\n",
      "23\n"
     ]
    }
   ],
   "source": [
    "# How many years have been \"Batman years\",\n",
    "# with more Batman characters than Superman characters?\n",
    "\n",
    "print('Batman years:')\n",
    "print(len(d[d < 0.0]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fe850b24c88>"
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
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       "p/YAAAAASUVORK5CYII=\n"
      ],
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fe850b84630>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the number of actor roles each year\n",
    "# and the number of actress roles each year\n",
    "# over the history of film.\n",
    "\n",
    "c = cast\n",
    "c = c.groupby(['year', 'type']).size()\n",
    "c = c.unstack('type')\n",
    "c.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fe8509ddcc0>"
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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       "HI7jOE5O/H8VcMHGvK/uPwAAAABJRU5ErkJggg==\n"
      ],
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fe850969080>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the number of actor roles each year\n",
    "# and the number of actress roles each year,\n",
    "# but this time as a kind='area' plot.\n",
    "\n",
    "c = cast\n",
    "c = c.groupby(['year', 'type']).size()\n",
    "c = c.unstack('type')\n",
    "c.plot(kind='area')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fe85084ae48>"
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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       "czyKphglU2EAAAAASUVORK5CYII=\n"
      ],
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fe850856ef0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the difference between the number of actor roles each year\n",
    "# and the number of actress roles each year over the history of film.\n",
    "\n",
    "c = cast\n",
    "c = c.groupby(['year', 'type']).size()\n",
    "c = c.unstack('type')\n",
    "(c.actor - c.actress).plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fe8507c4048>"
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": [
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       "XOTNzDLmIm9mlrH/D8meZ7YDwzg2AAAAAElFTkSuQmCC\n"
      ],
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fe8507ccef0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the fraction of roles that have been 'actor' roles\n",
    "# each year in the hitsory of film.\n",
    "\n",
    "c = cast\n",
    "c = c.groupby(['year', 'type']).size()\n",
    "c = c.unstack('type')\n",
    "(c.actor / (c.actor + c.actress)).plot(ylim=[0,1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fe85077d780>"
      ]
     },
     "execution_count": 93,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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      ],
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fe850736f98>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the fraction of supporting (n=2) roles\n",
    "# that have been 'actor' roles\n",
    "# each year in the history of film.\n",
    "\n",
    "c = cast\n",
    "c = c[c.n == 2]\n",
    "c = c.groupby(['year', 'type']).size()\n",
    "c = c.unstack('type')\n",
    "(c.actor / (c.actor + c.actress)).plot(ylim=[0,1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fe850760748>"
      ]
     },
     "execution_count": 98,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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       "<matplotlib.figure.Figure at 0x7fe8508cf550>"
      ]
     },
     "metadata": {},
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   ],
   "source": [
    "# Build a plot with a line for each rank n=1 through n=3,\n",
    "# where the line shows what fraction of that rank's roles\n",
    "# were 'actor' roles for each year in the history of film.\n",
    "\n",
    "c = cast\n",
    "c = c[c.n <= 3]\n",
    "c = c.groupby(['year', 'type', 'n']).size()\n",
    "c = c.unstack('type')\n",
    "r = c.actor / (c.actor + c.actress)\n",
    "r = r.unstack('n')\n",
    "r.plot(ylim=[0,1])"
   ]
  },
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