Exercises-3.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>\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>The Rising Son</td>\n",
       "      <td>1990</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>The Thousand Plane Raid</td>\n",
       "      <td>1969</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Crucea de piatra</td>\n",
       "      <td>1993</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>The 86</td>\n",
       "      <td>2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Gaiking II</td>\n",
       "      <td>2011</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     title  year\n",
       "0           The Rising Son  1990\n",
       "1  The Thousand Plane Raid  1969\n",
       "2         Crucea de piatra  1993\n",
       "3                   The 86  2015\n",
       "4               Gaiking II  2011"
      ]
     },
     "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>\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>Suuri illusioni</td>\n",
       "      <td>1985</td>\n",
       "      <td>Homo $</td>\n",
       "      <td>actor</td>\n",
       "      <td>Guests</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Gangsta Rap: The Glockumentary</td>\n",
       "      <td>2007</td>\n",
       "      <td>Too $hort</td>\n",
       "      <td>actor</td>\n",
       "      <td>Himself</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Menace II Society</td>\n",
       "      <td>1993</td>\n",
       "      <td>Too $hort</td>\n",
       "      <td>actor</td>\n",
       "      <td>Lew-Loc</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Porndogs: The Adventures of Sadie</td>\n",
       "      <td>2009</td>\n",
       "      <td>Too $hort</td>\n",
       "      <td>actor</td>\n",
       "      <td>Bosco</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Stop Pepper Palmer</td>\n",
       "      <td>2014</td>\n",
       "      <td>Too $hort</td>\n",
       "      <td>actor</td>\n",
       "      <td>Himself</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                               title  year       name   type character   n\n",
       "0                    Suuri illusioni  1985     Homo $  actor    Guests  22\n",
       "1     Gangsta Rap: The Glockumentary  2007  Too $hort  actor   Himself NaN\n",
       "2                  Menace II Society  1993  Too $hort  actor   Lew-Loc  27\n",
       "3  Porndogs: The Adventures of Sadie  2009  Too $hort  actor     Bosco   3\n",
       "4                 Stop Pepper Palmer  2014  Too $hort  actor   Himself NaN"
      ]
     },
     "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": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "### Using groupby(), plot the number of films that have been released each decade in the history of cinema."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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K1CzhH5XLl61EnTLsExFRoRHDX9KNkrZKWtPSNk3SCklPS7pf0tSWeVdIWi9pnaRzW9pP\nl7SmzLuupf0ASbeV9pWSju/mA4yIiHdrZ8v/T4C5Q9oWAytsnwQ8WG4jaRZwETCrrLNEOwdWrwcW\n2p4JzJQ0WHMhsK20Xwtc08HjiYiINowY/rb/EnhpSPN5wNIyvRSYV6bPB261vd32BuAZYI6kI4FD\nbK8qy93csk5rrduBs/fgcURExCjs6Zj/dNtby/RWYHqZPgrY1LLcJuDoYdo3l3bK740AtncAL0ua\ntof9ioiINnS8w9fNsW85/i0ioofs6aGeWyUdYXtLGdJ5obRvBo5tWe4Ymi3+zWV6aPvgOscBz0ma\nAhxq+4fD3Wl/f//b0319ffT19e1h96NbRnusfI6TjxhbAwMDDAwMjLic2nkxSjoB+LrtU8vt/0qz\nk/YaSYuBqbYXlx2+XwFm0wznPACcaNuSHgYuB1YB9wBftL1c0iLgVNuXSZoPzLM9f5g+OMEx8TTh\n3+7/RRMq/EfXdxht/1M/9Tup3y2SsP2urbQRt/wl3Qp8BDhM0kbg94CrgWWSFgIbgAsBbK+VtAxY\nC+wAFrUk9iLgJuAg4F7by0v7DcAtktYD24B3BX9ERHRXW1v+E0G2/CembPmnfuqPTf1u2dWWf87w\njYioUK7tM8nl4mURMZyEfxV68+JleeOKGDsJ/5jgevONK2Kiy5h/RESFEv4RERVK+EdEVCjhHxFR\noYR/RESFcrTPOMvhjBExHhL+E0IOZ4yIvSvDPhERFUr4R0RUKOEfEVGhhH9ERIUS/hERFUr4R0RU\nKOEfEVGhhH9ERIUS/hERFUr4R0RUKOEfEVGhhH9ERIUS/hERFUr4R0RUKOEfEVGhhH9ERIUS/hER\nFZow4S9prqR1ktZL+t3x7k9ExGQ2IcJf0r7A/wDmArOAiyWd0knNgYGBLvRs/OpD6o9P7dRP/Yld\nv1vZMyHCH5gNPGN7g+3twJ8C53dSMOE/meuPZe3UT/2JXX+yhf/RwMaW25tKW0REjIGJEv4e7w5E\nRNRE9vjnrqQPAf2255bbVwBv2b6mZZnx72hERA+yraFtEyX8pwB/DZwNPAesAi62/d1x7VhExCQ1\nZbw7AGB7h6RPAfcB+wI3JPgjIsbOhNjyj4iIvWui7PCNiIi9aEIM+0REjAVJc4F57Dx0fDNwp+3l\ntdefFMM+vfwPSP3xq536k7u+pOuAmcDNpS7AMcAlNCeVXl51/V4P/57/B6T+uNRO/Srqr7c9c5h2\nAettn1hzfWz39E/5IwzXLponUOr3aP1e7nvqT4j6a4DZw7TPAdbUXn8yjPm/IWm27VVD2mcDr6d+\nT9fv5b6n/vjXvxS4XtIhNJeMgeaTxStlXtX1J8Owz+nA9cBwf6BFth9L/d6s38t9T/3xr99yP0cC\nR5Wbm21v6UbdIfXf3mdh+/leqN/z4T+o5Q9k4Lkx+gfkCdRe/U3d/PuMZe1h6o/l38b0/nNnLP/+\nXX/tlvHxObT0H1jlMQ4+SSfbXtelWvu5udpxa9thtv+2o7qTKPzPoNlqeBN4ult/+FI7T6Dd197X\n9ptl+lDgRJrx3Fc6rT3MfS2yvaTbdUvtQ2h2QP6N7R91od7+wA7bb5XbvwJ8AHjK9je6UP99tp/o\ntM4I93Ec8IrtH0maAZwOrLP9ZBfvY0xeu5LOBZYAz/DOTxYzaT5Z3NeN+9nFfW+0fWyHNc4CbgEO\nAh4DPmn7+2Xeatvv76R+z4/5S/oI8AfAj2iemH8FTJW0HbjE9sbdrd9G/V0+gUoQjdkTCFgBdO0J\nJOkdT6BSv6MnkKSLgP8p6WXgd4DrgO/R/H3+pTs4ZE/Svxum+UpJBwLY/sM9rV3qL7G9qEx/GPgK\nO/v+Sdv3dFIfeBT4CPCSpM8Avw7cC/yOpI/YXtxh/dWSvg/cCtxqe22H9d5B0mLgk8DPJH0B+PfA\nN4HPSrrR9h90WH9MX7vAF4FzbG8Ycr8zgG8AJ3dSXNIf7Wb21E5qF18AfhVYC/wGsELSJba/1YXa\nk+Jon8eBw8v0DJpjhAE+CtzfhfrrgBOGaZ9BswXUaf0/2s3Pq12o/yjwXpojKC6geRP7xTJvdRfq\nPwEcUf4ePwFOLu3H03w66qT2a8BtwFXlpx94afB2F/q+umV6APhAmf57wGNdqP9ky/RjwEFlegrd\nORpkNfAPgc+V/+sTwOLhnq97WH8tzVbnYeV/Mfg6O5jm00un9cf6tbse2G+Y9v3pztFEr9K8OV4K\nLGj5uRTY1oX6Twy5/V6aC2DO68Zrt+e3/IF9bL9Ypn9AEzrYXlGOI+7Uvuw8BrnVZrrzyelSmi2q\nn/LO7zUQ8JtdqL+/7afK9FclfRf4mrr3PclvuowBS/q+y0d2289K2q/D2rOAP6QJm37bP5G0wPZn\nO6w7nENtfxvA9t9I6salT16VdKrtNcCLNEH6OrAfzf+3Y26GX66k+UQ0B5gP/D9JP7D9Sx2W32H7\ndUk/o3lj/2G5zx9LeqvD2jD2r90bgUck3crOT+3H0vyNbuxC/Udp3uC/OXSGpP4u1P+ZpCMGX1+2\nn5J0NnAP8Pc7LT4Zwv8xSTcADwHnld9IOpjuXLsoT6ARSNrHzbj2x1raptCE3B6z/QPgAknzgAck\nXdtZT9/lZElryvQMSb9g+yU13ynd6RsXNFuFX5L0BPAC8KikvwBOBT7fhfrvYPth4OEyXHZmF0o+\nVZ73BwP3A8sk3QH8CvCdLtQf09eu7c9LuovmK2E/VJo3A7/p7gyR/Qbwxi7u+4Qu1L+C5lP12zvY\nbW8qw2Wf6rR4z+/wLTvVPgGcQvOEvNH2m5IOAqZ7yHjfHt7HLJon0NtH+wB3d+MJJGka8Ibtn3Ra\naxf1Pwq8aPvxIe1TgU/Z/v0O68+mGcJ4fUj7CcCHbX+pk/ot9d5DM+wz23Y3gm2wj62es/0zSYcB\nZ9r+WhfuYwpwLnASzcbWRuA+d2eH8j+z/eVO6+ym/oE0GznP275P0m8Bv0QzFPq/bP+0w/pj/tqN\nXev58I+IGE7ZwFlMM0Y+nWZY9QXgTuDqTt+Ae71+z1/SWdIZkh6S9CVJx0paIellSY9I6uhIllL/\nEEn/WdJTkl6R9LeSHpZ0aRe6n/qjr72yF/o+iev3zN8fWEZzgEAfMM32NOAsmqOLltVev+e3/CU9\nAvwezaFVXwB+G/gqzbjk79v+xQ7r3w3cATwA/FPgPcCfAv+R5oSXK1N/bOr3ct9Tf0LUf9r2SaOd\nV0v9jg8HG+8f3nm43g+GzHu8C/WHHm71aPm9D/DXqT929Xu576k/IeqvAP4Dzf6DwbYjgN8FHqi9\nfs8P+wDbJf2qpAtpTsb9dXj7BJKOdkgVP5b0y6Xm+cA2AJezNlN/TOv3ct9Tf/zrX0RzjsKfS3pJ\n0ks053P8HeDC6ut3+u4x3j80VwAcoDnL8Xiaj5CvAN8GPtiF+v8IeIRmnO2bwD8o7YcDl6f+2NXv\n5b6n/vjXL7VOAc4BDhnSPrf2+h13biL/AB8b4/ofT/3xqd/LfU/9vVMfuJzmjNg7gWeBeS3zunF2\ne2/XH8t/4Hj/ABtTf3LW7+W+p/7eqQ88CbynTJ9Ac4mNf1tudyOce7p+z5/hq51naA5neur3bv1e\n7nvqj399mqMZXwOwvaHsB7xd0vF05/IaPV2/58Mf+LvAXJrjYYf6q9Tv6fq93PfUH//6L0g6zeXs\ndtuvSfo14AbgfbXXnwzhfw/NR6PVQ2dI+vPU7+n6vdz31B//+v8ceMd3WNjeLmkB8L9rr9/zJ3lF\nRMToTYbj/CMiYpQS/hERFUr4R0RUKOEfEVGhhH/EXqLufDVkRFfkyRgxDEmflfTpltv/RdLlkj4j\naZWk76jlazYl3SHpUUlPSvpES/trkv6bpMfZ+VWCEeMu4R8xvBtpjrMe3GK/iOa7VE+0PRt4P3D6\n4FUpaa5F80HgDOBySb9Q2n8OWGn7NNvdOHEpoismw0leEV1n+1lJ2ySdRnMN9dU0wX6upMGTkg4G\nTgT+Evi0mi+aBzgWmAmsAt4Ebt+rnY9oQ8I/Ytf+GPgYzXVmbgTOBj5v+x1nV0rqK/M+ZPsNSQ8B\nB5bZbzhnUsYElGGfiF27g+baMx8ElgP3AR+XdDCApKMlHQ78PPBSCf6Tydh+9IBs+UfsQrmOyp/R\nBLuBFZJOAb4lCeBV4Ldo3hj+laS1NNdf/1Zrmb3c7Yi25No+EbtQdvQ+Blxg+3vj3Z+IbsqwT8Qw\nJM0C1tN8UXaCPyadbPlHRFQoW/4RERVK+EdEVCjhHxFRoYR/RESFEv4RERVK+EdEVOj/A1NL0YJn\npvPsAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x2adaa1d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "f=titles.groupby(titles.year // 10 * 10).size().plot(kind='bar')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "### Use groupby() to plot the number of \"Hamlet\" films made each decade."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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Z3XijA9BGBmgjx3ijA/TGGx2ANjJAGznGC731aQV+FLBz1fV7+mXTxhy9/9EkSeuZVuDr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\nD6DEAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x2affdc50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "f=titles[titles.title=='Hamlet'].groupby(titles.year // 10 * 10).size().plot(kind='bar')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "### How many leading (n=1) roles were available to actors, and how many to actresses, in each year of the 1950s?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x2b4446d8>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x1bc8e4a8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cast[cast.year // 10 == 195].groupby(['year', 'type']).size().unstack().plot(kind='bar', stacked=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "### In the 1950s decade taken as a whole, how many total roles were available to actors, and how many to actresses, for each \"n\" number 1 through 5?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "### Use groupby() to determine how many roles are listed for each of the Pink Panther movies."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "### List, in order by year, each of the films in which Frank Oz has played more than 1 role."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "### List each of the characters that Frank Oz has portrayed at least twice."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
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