grad.ipynb

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  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Before we get started\n",
    "```\n",
    "conda install pandas\n",
    "conda install matplotlib\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Why Pandas?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "* No more for loops!\n",
    "* Quick pictures"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# How to open a csv file?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "subslide"
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   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "README.md       cat_ts_1.ipynb  grad.ipynb\r\n",
      "Untitled.ipynb  cat_ts_2.ipynb  graduation.csv\r\n"
     ]
    }
   ],
   "source": [
    "ls"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [],
   "source": [
    "#use the pandas data analytics library\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "slide"
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   "outputs": [],
   "source": [
    "#the read_csv function loads in the file,\n",
    "#which we assign to the df variable\n",
    "df = pd.read_csv(\"graduation.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false,
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   "outputs": [
    {
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      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Demographic</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Cohort</th>\n",
       "      <th>Total Cohort</th>\n",
       "      <th>Total Grads</th>\n",
       "      <th>Total Regents</th>\n",
       "      <th>Advanced Regents</th>\n",
       "      <th>Regents w/o Advanced</th>\n",
       "      <th>Local</th>\n",
       "      <th>Still Enrolled</th>\n",
       "      <th>Dropped Out</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Borough Total</td>\n",
       "      <td>Bronx</td>\n",
       "      <td>2001</td>\n",
       "      <td>11453</td>\n",
       "      <td>4913</td>\n",
       "      <td>2644</td>\n",
       "      <td>998</td>\n",
       "      <td>1646</td>\n",
       "      <td>2271</td>\n",
       "      <td>3512</td>\n",
       "      <td>2438</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Borough Total</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>2001</td>\n",
       "      <td>19961</td>\n",
       "      <td>9758</td>\n",
       "      <td>6177</td>\n",
       "      <td>2829</td>\n",
       "      <td>3348</td>\n",
       "      <td>3591</td>\n",
       "      <td>6101</td>\n",
       "      <td>3547</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Borough Total</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>2001</td>\n",
       "      <td>12670</td>\n",
       "      <td>7480</td>\n",
       "      <td>4963</td>\n",
       "      <td>1851</td>\n",
       "      <td>3112</td>\n",
       "      <td>2519</td>\n",
       "      <td>2829</td>\n",
       "      <td>1962</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Demographic    Borough  Cohort  Total Cohort  Total Grads  Total Regents  \\\n",
       "0  Borough Total      Bronx    2001         11453         4913           2644   \n",
       "1  Borough Total   Brooklyn    2001         19961         9758           6177   \n",
       "2  Borough Total  Manhattan    2001         12670         7480           4963   \n",
       "\n",
       "   Advanced Regents  Regents w/o Advanced   Local  Still Enrolled  Dropped Out  \n",
       "0               998                   1646   2271            3512         2438  \n",
       "1              2829                   3348   3591            6101         3547  \n",
       "2              1851                   3112   2519            2829         1962  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#look at the beginning of the file\n",
    "#3 is the argument, 3 lines\n",
    "df.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false,
    "slideshow": {
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   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Demographic</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Cohort</th>\n",
       "      <th>Total Cohort</th>\n",
       "      <th>Total Grads</th>\n",
       "      <th>Total Regents</th>\n",
       "      <th>Advanced Regents</th>\n",
       "      <th>Regents w/o Advanced</th>\n",
       "      <th>Local</th>\n",
       "      <th>Still Enrolled</th>\n",
       "      <th>Dropped Out</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>327</th>\n",
       "      <td>Male</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>2006</td>\n",
       "      <td>7509</td>\n",
       "      <td>4197</td>\n",
       "      <td>3510</td>\n",
       "      <td>1188</td>\n",
       "      <td>2322</td>\n",
       "      <td>687</td>\n",
       "      <td>2011</td>\n",
       "      <td>931</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>328</th>\n",
       "      <td>Male</td>\n",
       "      <td>Queens</td>\n",
       "      <td>2006</td>\n",
       "      <td>10202</td>\n",
       "      <td>5887</td>\n",
       "      <td>4874</td>\n",
       "      <td>1572</td>\n",
       "      <td>3302</td>\n",
       "      <td>1013</td>\n",
       "      <td>2554</td>\n",
       "      <td>1378</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>329</th>\n",
       "      <td>Male</td>\n",
       "      <td>Staten Island</td>\n",
       "      <td>2006</td>\n",
       "      <td>2413</td>\n",
       "      <td>1681</td>\n",
       "      <td>1429</td>\n",
       "      <td>573</td>\n",
       "      <td>856</td>\n",
       "      <td>252</td>\n",
       "      <td>394</td>\n",
       "      <td>235</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Demographic        Borough  Cohort  Total Cohort  Total Grads  \\\n",
       "327        Male      Manhattan    2006          7509         4197   \n",
       "328        Male         Queens    2006         10202         5887   \n",
       "329        Male  Staten Island    2006          2413         1681   \n",
       "\n",
       "     Total Regents  Advanced Regents  Regents w/o Advanced   Local  \\\n",
       "327           3510              1188                   2322    687   \n",
       "328           4874              1572                   3302   1013   \n",
       "329           1429               573                    856    252   \n",
       "\n",
       "     Still Enrolled  Dropped Out  \n",
       "327            2011          931  \n",
       "328            2554         1378  \n",
       "329             394          235  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#look at the end of the file\n",
    "df.tail(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "subslide"
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   },
   "outputs": [],
   "source": [
    "#can also view whole, but usually impractical\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# How do we get a quick overview?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false,
    "slideshow": {
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   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Cohort</th>\n",
       "      <th>Total Cohort</th>\n",
       "      <th>Total Grads</th>\n",
       "      <th>Total Regents</th>\n",
       "      <th>Advanced Regents</th>\n",
       "      <th>Regents w/o Advanced</th>\n",
       "      <th>Local</th>\n",
       "      <th>Still Enrolled</th>\n",
       "      <th>Dropped Out</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>330.000000</td>\n",
       "      <td>330.000000</td>\n",
       "      <td>330.000000</td>\n",
       "      <td>330.000000</td>\n",
       "      <td>330.000000</td>\n",
       "      <td>330.000000</td>\n",
       "      <td>330.000000</td>\n",
       "      <td>330.000000</td>\n",
       "      <td>330.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>2003.500000</td>\n",
       "      <td>6590.206061</td>\n",
       "      <td>3690.209091</td>\n",
       "      <td>2692.348485</td>\n",
       "      <td>1028.518182</td>\n",
       "      <td>1663.830303</td>\n",
       "      <td>998.754545</td>\n",
       "      <td>1766.648485</td>\n",
       "      <td>917.948485</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>1.710419</td>\n",
       "      <td>5723.646972</td>\n",
       "      <td>3385.270448</td>\n",
       "      <td>2596.630870</td>\n",
       "      <td>1021.775439</td>\n",
       "      <td>1628.105084</td>\n",
       "      <td>885.764333</td>\n",
       "      <td>1563.177676</td>\n",
       "      <td>784.870098</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>2001.000000</td>\n",
       "      <td>153.000000</td>\n",
       "      <td>36.000000</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>21.000000</td>\n",
       "      <td>22.000000</td>\n",
       "      <td>6.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>2002.000000</td>\n",
       "      <td>2100.000000</td>\n",
       "      <td>815.500000</td>\n",
       "      <td>542.750000</td>\n",
       "      <td>236.500000</td>\n",
       "      <td>303.500000</td>\n",
       "      <td>276.000000</td>\n",
       "      <td>524.750000</td>\n",
       "      <td>277.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>2003.500000</td>\n",
       "      <td>4586.000000</td>\n",
       "      <td>2592.000000</td>\n",
       "      <td>1865.000000</td>\n",
       "      <td>704.500000</td>\n",
       "      <td>1163.500000</td>\n",
       "      <td>683.500000</td>\n",
       "      <td>1287.500000</td>\n",
       "      <td>662.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>2005.000000</td>\n",
       "      <td>10319.000000</td>\n",
       "      <td>5676.750000</td>\n",
       "      <td>3861.000000</td>\n",
       "      <td>1528.000000</td>\n",
       "      <td>2540.250000</td>\n",
       "      <td>1535.750000</td>\n",
       "      <td>2834.250000</td>\n",
       "      <td>1420.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>2006.000000</td>\n",
       "      <td>22353.000000</td>\n",
       "      <td>13040.000000</td>\n",
       "      <td>10440.000000</td>\n",
       "      <td>3741.000000</td>\n",
       "      <td>6723.000000</td>\n",
       "      <td>3591.000000</td>\n",
       "      <td>6571.000000</td>\n",
       "      <td>3547.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Cohort  Total Cohort   Total Grads  Total Regents  \\\n",
       "count   330.000000    330.000000    330.000000     330.000000   \n",
       "mean   2003.500000   6590.206061   3690.209091    2692.348485   \n",
       "std       1.710419   5723.646972   3385.270448    2596.630870   \n",
       "min    2001.000000    153.000000     36.000000      15.000000   \n",
       "25%    2002.000000   2100.000000    815.500000     542.750000   \n",
       "50%    2003.500000   4586.000000   2592.000000    1865.000000   \n",
       "75%    2005.000000  10319.000000   5676.750000    3861.000000   \n",
       "max    2006.000000  22353.000000  13040.000000   10440.000000   \n",
       "\n",
       "       Advanced Regents  Regents w/o Advanced         Local  Still Enrolled  \\\n",
       "count        330.000000             330.000000   330.000000      330.000000   \n",
       "mean        1028.518182            1663.830303   998.754545     1766.648485   \n",
       "std         1021.775439            1628.105084   885.764333     1563.177676   \n",
       "min            1.000000              12.000000    21.000000       22.000000   \n",
       "25%          236.500000             303.500000   276.000000      524.750000   \n",
       "50%          704.500000            1163.500000   683.500000     1287.500000   \n",
       "75%         1528.000000            2540.250000  1535.750000     2834.250000   \n",
       "max         3741.000000            6723.000000  3591.000000     6571.000000   \n",
       "\n",
       "       Dropped Out  \n",
       "count   330.000000  \n",
       "mean    917.948485  \n",
       "std     784.870098  \n",
       "min       6.000000  \n",
       "25%     277.000000  \n",
       "50%     662.000000  \n",
       "75%    1420.500000  \n",
       "max    3547.000000  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false,
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   "outputs": [
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       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Demographic</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Cohort</th>\n",
       "      <th>Total Cohort</th>\n",
       "      <th>Total Grads</th>\n",
       "      <th>Total Regents</th>\n",
       "      <th>Advanced Regents</th>\n",
       "      <th>Regents w/o Advanced</th>\n",
       "      <th>Local</th>\n",
       "      <th>Still Enrolled</th>\n",
       "      <th>Dropped Out</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>330</td>\n",
       "      <td>330</td>\n",
       "      <td>330.000000</td>\n",
       "      <td>330.000000</td>\n",
       "      <td>330.000000</td>\n",
       "      <td>330.000000</td>\n",
       "      <td>330.000000</td>\n",
       "      <td>330.000000</td>\n",
       "      <td>330.000000</td>\n",
       "      <td>330.000000</td>\n",
       "      <td>330.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unique</th>\n",
       "      <td>11</td>\n",
       "      <td>5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>top</th>\n",
       "      <td>Hispanic</td>\n",
       "      <td>Bronx</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freq</th>\n",
       "      <td>30</td>\n",
       "      <td>66</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2003.500000</td>\n",
       "      <td>6590.206061</td>\n",
       "      <td>3690.209091</td>\n",
       "      <td>2692.348485</td>\n",
       "      <td>1028.518182</td>\n",
       "      <td>1663.830303</td>\n",
       "      <td>998.754545</td>\n",
       "      <td>1766.648485</td>\n",
       "      <td>917.948485</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.710419</td>\n",
       "      <td>5723.646972</td>\n",
       "      <td>3385.270448</td>\n",
       "      <td>2596.630870</td>\n",
       "      <td>1021.775439</td>\n",
       "      <td>1628.105084</td>\n",
       "      <td>885.764333</td>\n",
       "      <td>1563.177676</td>\n",
       "      <td>784.870098</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2001.000000</td>\n",
       "      <td>153.000000</td>\n",
       "      <td>36.000000</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>21.000000</td>\n",
       "      <td>22.000000</td>\n",
       "      <td>6.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2002.000000</td>\n",
       "      <td>2100.000000</td>\n",
       "      <td>815.500000</td>\n",
       "      <td>542.750000</td>\n",
       "      <td>236.500000</td>\n",
       "      <td>303.500000</td>\n",
       "      <td>276.000000</td>\n",
       "      <td>524.750000</td>\n",
       "      <td>277.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2003.500000</td>\n",
       "      <td>4586.000000</td>\n",
       "      <td>2592.000000</td>\n",
       "      <td>1865.000000</td>\n",
       "      <td>704.500000</td>\n",
       "      <td>1163.500000</td>\n",
       "      <td>683.500000</td>\n",
       "      <td>1287.500000</td>\n",
       "      <td>662.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2005.000000</td>\n",
       "      <td>10319.000000</td>\n",
       "      <td>5676.750000</td>\n",
       "      <td>3861.000000</td>\n",
       "      <td>1528.000000</td>\n",
       "      <td>2540.250000</td>\n",
       "      <td>1535.750000</td>\n",
       "      <td>2834.250000</td>\n",
       "      <td>1420.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2006.000000</td>\n",
       "      <td>22353.000000</td>\n",
       "      <td>13040.000000</td>\n",
       "      <td>10440.000000</td>\n",
       "      <td>3741.000000</td>\n",
       "      <td>6723.000000</td>\n",
       "      <td>3591.000000</td>\n",
       "      <td>6571.000000</td>\n",
       "      <td>3547.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Demographic Borough       Cohort  Total Cohort   Total Grads  \\\n",
       "count          330     330   330.000000    330.000000    330.000000   \n",
       "unique          11       5          NaN           NaN           NaN   \n",
       "top       Hispanic   Bronx          NaN           NaN           NaN   \n",
       "freq            30      66          NaN           NaN           NaN   \n",
       "mean           NaN     NaN  2003.500000   6590.206061   3690.209091   \n",
       "std            NaN     NaN     1.710419   5723.646972   3385.270448   \n",
       "min            NaN     NaN  2001.000000    153.000000     36.000000   \n",
       "25%            NaN     NaN  2002.000000   2100.000000    815.500000   \n",
       "50%            NaN     NaN  2003.500000   4586.000000   2592.000000   \n",
       "75%            NaN     NaN  2005.000000  10319.000000   5676.750000   \n",
       "max            NaN     NaN  2006.000000  22353.000000  13040.000000   \n",
       "\n",
       "        Total Regents  Advanced Regents  Regents w/o Advanced         Local  \\\n",
       "count      330.000000        330.000000             330.000000   330.000000   \n",
       "unique            NaN               NaN                    NaN          NaN   \n",
       "top               NaN               NaN                    NaN          NaN   \n",
       "freq              NaN               NaN                    NaN          NaN   \n",
       "mean      2692.348485       1028.518182            1663.830303   998.754545   \n",
       "std       2596.630870       1021.775439            1628.105084   885.764333   \n",
       "min         15.000000          1.000000              12.000000    21.000000   \n",
       "25%        542.750000        236.500000             303.500000   276.000000   \n",
       "50%       1865.000000        704.500000            1163.500000   683.500000   \n",
       "75%       3861.000000       1528.000000            2540.250000  1535.750000   \n",
       "max      10440.000000       3741.000000            6723.000000  3591.000000   \n",
       "\n",
       "        Still Enrolled  Dropped Out  \n",
       "count       330.000000   330.000000  \n",
       "unique             NaN          NaN  \n",
       "top                NaN          NaN  \n",
       "freq               NaN          NaN  \n",
       "mean       1766.648485   917.948485  \n",
       "std        1563.177676   784.870098  \n",
       "min          22.000000     6.000000  \n",
       "25%         524.750000   277.000000  \n",
       "50%        1287.500000   662.000000  \n",
       "75%        2834.250000  1420.500000  \n",
       "max        6571.000000  3547.000000  "
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    " df.describe(include ='all')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    Borough Total\n",
       "1    Borough Total\n",
       "2    Borough Total\n",
       "3    Borough Total\n",
       "4    Borough Total\n",
       "Name: Demographic, dtype: object"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#lets look at one column\n",
    "df['Demographic'].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [],
   "source": [
    "#if you forget the column names\n",
    "df.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Hispanic                       30\n",
       "General Education              30\n",
       "English Language Learners      30\n",
       "Special Education              30\n",
       "Male                           30\n",
       "Black                          30\n",
       "Borough Total                  30\n",
       "English Proficient Students    30\n",
       "Asian                          30\n",
       "White                          30\n",
       "Female                         30\n",
       "Name: Demographic, dtype: int64"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Lets get the frequency of each demographic \n",
    "# also gives us the unique demos\n",
    "df['Demographic'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Demographic              object\n",
       "Borough                  object\n",
       "Cohort                    int64\n",
       "Total Cohort              int64\n",
       "Total Grads               int64\n",
       "Total Regents             int64\n",
       "Advanced Regents          int64\n",
       "Regents w/o Advanced      int64\n",
       "Local                     int64\n",
       "Still Enrolled            int64\n",
       "Dropped Out               int64\n",
       "dtype: object"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Can also quickly figure out what sort of data is in the column\n",
    "df.dtypes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# How do the columns relate to each other ?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Index(['Demographic', 'Borough', 'Cohort', 'Total Cohort', 'Total Grads',\n",
      "       'Total Regents', 'Advanced Regents', 'Regents w/o Advanced ', 'Local',\n",
      "       'Still Enrolled', 'Dropped Out'],\n",
      "      dtype='object')\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Total Cohort</th>\n",
       "      <th>Total Grads</th>\n",
       "      <th>Still Enrolled</th>\n",
       "      <th>Dropped Out</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2259</td>\n",
       "      <td>309</td>\n",
       "      <td>561</td>\n",
       "      <td>866</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>1586</td>\n",
       "      <td>292</td>\n",
       "      <td>407</td>\n",
       "      <td>553</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>622</td>\n",
       "      <td>184</td>\n",
       "      <td>184</td>\n",
       "      <td>160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>17259</td>\n",
       "      <td>9356</td>\n",
       "      <td>5232</td>\n",
       "      <td>2600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>15012</td>\n",
       "      <td>8761</td>\n",
       "      <td>4120</td>\n",
       "      <td>2053</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>638</td>\n",
       "      <td>479</td>\n",
       "      <td>92</td>\n",
       "      <td>60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>1581</td>\n",
       "      <td>1265</td>\n",
       "      <td>210</td>\n",
       "      <td>97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>333</td>\n",
       "      <td>268</td>\n",
       "      <td>46</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>9382</td>\n",
       "      <td>4232</td>\n",
       "      <td>3284</td>\n",
       "      <td>1543</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>4600</td>\n",
       "      <td>2146</td>\n",
       "      <td>1485</td>\n",
       "      <td>810</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Total Cohort  Total Grads  Still Enrolled  Dropped Out\n",
       "15          2259          309             561          866\n",
       "17          1586          292             407          553\n",
       "19           622          184             184          160\n",
       "21         17259         9356            5232         2600\n",
       "23         15012         8761            4120         2053\n",
       "25           638          479              92           60\n",
       "27          1581         1265             210           97\n",
       "29           333          268              46           16\n",
       "31          9382         4232            3284         1543\n",
       "33          4600         2146            1485          810"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#lets look at for columns\n",
    "print(df.keys())\n",
    "df[['Total Cohort', 'Total Grads', 'Still Enrolled','Dropped Out']][15:35:2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "5     1984\n",
       "10    9469\n",
       "15    2259\n",
       "20    9194\n",
       "25     638\n",
       "30    3852\n",
       "35    6150\n",
       "Name: Total Cohort, dtype: int64"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#row slicing\n",
    "df['Total Cohort'][5:36:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total Grads       2921\n",
      "Still Enrolled    1832\n",
      "Dropped Out        880\n",
      "Name: 100, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "#one row of data\n",
    "row_100 = df[['Total Grads', 'Still Enrolled','Dropped Out']].iloc[100]\n",
    "print(row_100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Borough         Bronx\n",
      "Demographic    Female\n",
      "Name: 100, dtype: object\n"
     ]
    },
    {
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       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
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       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
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       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
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       "        'ui-helper-clearfix\"/>');\n",
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       "    this.canvas_div = canvas_div\n",
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       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
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       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
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       "        if (pass_mouse_events)\n",
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       "\n",
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       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
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       "        // Keep the size of the canvas, canvas container, and rubber band\n",
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       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'];\n",
       "    var y0 = fig.canvas.height - msg['y0'];\n",
       "    var x1 = msg['x1'];\n",
       "    var y1 = fig.canvas.height - msg['y1'];\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x;\n",
       "    var y = canvas_pos.y;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img 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\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x112c4f898>"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%matplotlib notebook\n",
    "print(df[['Borough', 'Demographic']].iloc[100])\n",
    "row_100.plot(kind=\"pie\",figsize=(4, 4))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# View more than 1 row?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "df.plot?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "collapsed": false,
    "scrolled": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width);\n",
       "        canvas.attr('height', height);\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'];\n",
       "    var y0 = fig.canvas.height - msg['y0'];\n",
       "    var x1 = msg['x1'];\n",
       "    var y1 = fig.canvas.height - msg['y1'];\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x;\n",
       "    var y = canvas_pos.y;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x115725630>"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%matplotlib notebook\n",
    "df.mean().plot(kind=\"bar\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [],
   "source": [
    "#Compare two \n",
    "df[['Total Cohort', 'Total Grads']].plot(kind='hist')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width);\n",
       "        canvas.attr('height', height);\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'];\n",
       "    var y0 = fig.canvas.height - msg['y0'];\n",
       "    var x1 = msg['x1'];\n",
       "    var y1 = fig.canvas.height - msg['y1'];\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x;\n",
       "    var y = canvas_pos.y;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x11591a6a0>"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#show relationship\n",
    "df.plot(kind='scatter', x='Total Cohort', y='Total Grads')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Borough Total', 'English Language Learners',\n",
       "       'English Proficient Students', 'Special Education',\n",
       "       'General Education', 'Asian', 'Black', 'Hispanic', 'White',\n",
       "       'Female', 'Male'], dtype=object)"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Demographic'].unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "Activity\n",
    "=========\n",
    "Compare the different types of regent grads to each other and the total cohort. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [],
   "source": [
    "#filtering: lets first look at our demographics\n",
    "df['Demographic'].unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# What mistake did we make in our graphs? "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# How can we filter this data?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       True\n",
       "1       True\n",
       "2       True\n",
       "3       True\n",
       "4       True\n",
       "5      False\n",
       "6      False\n",
       "7      False\n",
       "8      False\n",
       "9      False\n",
       "10     False\n",
       "11     False\n",
       "12     False\n",
       "13     False\n",
       "14     False\n",
       "15     False\n",
       "16     False\n",
       "17     False\n",
       "18     False\n",
       "19     False\n",
       "20     False\n",
       "21     False\n",
       "22     False\n",
       "23     False\n",
       "24     False\n",
       "25     False\n",
       "26     False\n",
       "27     False\n",
       "28     False\n",
       "29     False\n",
       "       ...  \n",
       "300    False\n",
       "301    False\n",
       "302    False\n",
       "303    False\n",
       "304    False\n",
       "305    False\n",
       "306    False\n",
       "307    False\n",
       "308    False\n",
       "309    False\n",
       "310    False\n",
       "311    False\n",
       "312    False\n",
       "313    False\n",
       "314    False\n",
       "315    False\n",
       "316    False\n",
       "317    False\n",
       "318    False\n",
       "319    False\n",
       "320    False\n",
       "321    False\n",
       "322    False\n",
       "323    False\n",
       "324    False\n",
       "325    False\n",
       "326    False\n",
       "327    False\n",
       "328    False\n",
       "329    False\n",
       "Name: Demographic, dtype: bool"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#lets just compare male and female rates instead\n",
    "#http://pandas.pydata.org/pandas-docs/stable/text.html\n",
    "bar_tot = df['Demographic'].str.contains('Borough Total')\n",
    "\n",
    "bar_tot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {
    "collapsed": true,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "True\n",
      "True\n",
      "True\n",
      "True\n",
      "True\n",
      "False\n",
      "False\n",
      "False\n",
      "False\n",
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      "False\n",
      "False\n",
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      "False\n",
      "False\n",
      "False\n",
      "False\n",
      "False\n",
      "False\n",
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      "False\n",
      "False\n",
      "False\n",
      "False\n",
      "False\n",
      "False\n",
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      "False\n",
      "False\n",
      "False\n",
      "False\n",
      "True\n",
      "True\n",
      "True\n",
      "True\n",
      "True\n",
      "False\n",
      "False\n",
      "False\n",
      "False\n",
      "False\n",
      "False\n",
      "False\n",
      "False\n",
      "False\n",
      "False\n",
      "False\n",
      "False\n",
      "False\n",
      "False\n",
      "False\n",
      "False\n",
      "False\n",
      "False\n",
      "False\n",
      "False\n",
      "False\n",
      "False\n",
      "False\n",
      "False\n",
      "False\n",
      "False\n",
      "False\n",
      "False\n",
      "False\n",
      "False\n",
      "False\n",
      "False\n",
      "False\n",
      "False\n",
      "False\n",
      "False\n",
      "False\n",
      "False\n",
      "False\n",
      "False\n",
      "False\n",
      "False\n",
      "False\n",
      "False\n",
      "False\n",
      "False\n",
      "False\n",
      "False\n",
      "False\n",
      "False\n"
     ]
    }
   ],
   "source": [
    "for value in df['Demographic']:\n",
    "    if 'Borough Total' in value:\n",
    "        print(True)\n",
    "    else:\n",
    "        print(False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "bar_to = df['Demographic'].str.contains(\"Borough Total\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "30\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Demographic</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Cohort</th>\n",
       "      <th>Total Cohort</th>\n",
       "      <th>Total Grads</th>\n",
       "      <th>Total Regents</th>\n",
       "      <th>Advanced Regents</th>\n",
       "      <th>Regents w/o Advanced</th>\n",
       "      <th>Local</th>\n",
       "      <th>Still Enrolled</th>\n",
       "      <th>Dropped Out</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Borough Total</td>\n",
       "      <td>Bronx</td>\n",
       "      <td>2001</td>\n",
       "      <td>11453</td>\n",
       "      <td>4913</td>\n",
       "      <td>2644</td>\n",
       "      <td>998</td>\n",
       "      <td>1646</td>\n",
       "      <td>2271</td>\n",
       "      <td>3512</td>\n",
       "      <td>2438</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Borough Total</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>2001</td>\n",
       "      <td>19961</td>\n",
       "      <td>9758</td>\n",
       "      <td>6177</td>\n",
       "      <td>2829</td>\n",
       "      <td>3348</td>\n",
       "      <td>3591</td>\n",
       "      <td>6101</td>\n",
       "      <td>3547</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Borough Total</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>2001</td>\n",
       "      <td>12670</td>\n",
       "      <td>7480</td>\n",
       "      <td>4963</td>\n",
       "      <td>1851</td>\n",
       "      <td>3112</td>\n",
       "      <td>2519</td>\n",
       "      <td>2829</td>\n",
       "      <td>1962</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Borough Total</td>\n",
       "      <td>Queens</td>\n",
       "      <td>2001</td>\n",
       "      <td>17011</td>\n",
       "      <td>9180</td>\n",
       "      <td>6452</td>\n",
       "      <td>2694</td>\n",
       "      <td>3758</td>\n",
       "      <td>2738</td>\n",
       "      <td>4679</td>\n",
       "      <td>2696</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Borough Total</td>\n",
       "      <td>Staten Island</td>\n",
       "      <td>2001</td>\n",
       "      <td>3872</td>\n",
       "      <td>2565</td>\n",
       "      <td>1901</td>\n",
       "      <td>876</td>\n",
       "      <td>1025</td>\n",
       "      <td>665</td>\n",
       "      <td>786</td>\n",
       "      <td>417</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>Borough Total</td>\n",
       "      <td>Bronx</td>\n",
       "      <td>2002</td>\n",
       "      <td>12032</td>\n",
       "      <td>5328</td>\n",
       "      <td>3118</td>\n",
       "      <td>992</td>\n",
       "      <td>2126</td>\n",
       "      <td>2217</td>\n",
       "      <td>4047</td>\n",
       "      <td>2140</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>Borough Total</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>2002</td>\n",
       "      <td>20808</td>\n",
       "      <td>10337</td>\n",
       "      <td>7050</td>\n",
       "      <td>2865</td>\n",
       "      <td>4185</td>\n",
       "      <td>3298</td>\n",
       "      <td>6368</td>\n",
       "      <td>3369</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>Borough Total</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>2002</td>\n",
       "      <td>13463</td>\n",
       "      <td>7746</td>\n",
       "      <td>5497</td>\n",
       "      <td>1872</td>\n",
       "      <td>3625</td>\n",
       "      <td>2259</td>\n",
       "      <td>3561</td>\n",
       "      <td>1743</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>Borough Total</td>\n",
       "      <td>Queens</td>\n",
       "      <td>2002</td>\n",
       "      <td>18262</td>\n",
       "      <td>9869</td>\n",
       "      <td>7250</td>\n",
       "      <td>2837</td>\n",
       "      <td>4413</td>\n",
       "      <td>2624</td>\n",
       "      <td>4961</td>\n",
       "      <td>2816</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>Borough Total</td>\n",
       "      <td>Staten Island</td>\n",
       "      <td>2002</td>\n",
       "      <td>4134</td>\n",
       "      <td>2721</td>\n",
       "      <td>2040</td>\n",
       "      <td>861</td>\n",
       "      <td>1179</td>\n",
       "      <td>683</td>\n",
       "      <td>844</td>\n",
       "      <td>426</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>Borough Total</td>\n",
       "      <td>Bronx</td>\n",
       "      <td>2003</td>\n",
       "      <td>13632</td>\n",
       "      <td>6389</td>\n",
       "      <td>3861</td>\n",
       "      <td>1255</td>\n",
       "      <td>2606</td>\n",
       "      <td>2528</td>\n",
       "      <td>4258</td>\n",
       "      <td>2472</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>Borough Total</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>2003</td>\n",
       "      <td>21334</td>\n",
       "      <td>11064</td>\n",
       "      <td>7711</td>\n",
       "      <td>3239</td>\n",
       "      <td>4472</td>\n",
       "      <td>3353</td>\n",
       "      <td>6571</td>\n",
       "      <td>3198</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112</th>\n",
       "      <td>Borough Total</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>2003</td>\n",
       "      <td>13879</td>\n",
       "      <td>7613</td>\n",
       "      <td>5499</td>\n",
       "      <td>2527</td>\n",
       "      <td>2972</td>\n",
       "      <td>2114</td>\n",
       "      <td>4240</td>\n",
       "      <td>1729</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>Borough Total</td>\n",
       "      <td>Queens</td>\n",
       "      <td>2003</td>\n",
       "      <td>18415</td>\n",
       "      <td>10455</td>\n",
       "      <td>7917</td>\n",
       "      <td>3395</td>\n",
       "      <td>4522</td>\n",
       "      <td>2538</td>\n",
       "      <td>4869</td>\n",
       "      <td>2718</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>Borough Total</td>\n",
       "      <td>Staten Island</td>\n",
       "      <td>2003</td>\n",
       "      <td>4218</td>\n",
       "      <td>2812</td>\n",
       "      <td>2169</td>\n",
       "      <td>883</td>\n",
       "      <td>1286</td>\n",
       "      <td>643</td>\n",
       "      <td>919</td>\n",
       "      <td>374</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>165</th>\n",
       "      <td>Borough Total</td>\n",
       "      <td>Bronx</td>\n",
       "      <td>2004</td>\n",
       "      <td>14364</td>\n",
       "      <td>7448</td>\n",
       "      <td>4625</td>\n",
       "      <td>1395</td>\n",
       "      <td>3230</td>\n",
       "      <td>2823</td>\n",
       "      <td>4169</td>\n",
       "      <td>2303</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>166</th>\n",
       "      <td>Borough Total</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>2004</td>\n",
       "      <td>22353</td>\n",
       "      <td>12303</td>\n",
       "      <td>8872</td>\n",
       "      <td>3741</td>\n",
       "      <td>5131</td>\n",
       "      <td>3431</td>\n",
       "      <td>6487</td>\n",
       "      <td>2973</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>167</th>\n",
       "      <td>Borough Total</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>2004</td>\n",
       "      <td>15127</td>\n",
       "      <td>8780</td>\n",
       "      <td>6449</td>\n",
       "      <td>2811</td>\n",
       "      <td>3638</td>\n",
       "      <td>2331</td>\n",
       "      <td>4243</td>\n",
       "      <td>1842</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168</th>\n",
       "      <td>Borough Total</td>\n",
       "      <td>Queens</td>\n",
       "      <td>2004</td>\n",
       "      <td>18725</td>\n",
       "      <td>10922</td>\n",
       "      <td>8450</td>\n",
       "      <td>3604</td>\n",
       "      <td>4846</td>\n",
       "      <td>2472</td>\n",
       "      <td>5001</td>\n",
       "      <td>2505</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>169</th>\n",
       "      <td>Borough Total</td>\n",
       "      <td>Staten Island</td>\n",
       "      <td>2004</td>\n",
       "      <td>4142</td>\n",
       "      <td>2788</td>\n",
       "      <td>2220</td>\n",
       "      <td>1029</td>\n",
       "      <td>1191</td>\n",
       "      <td>568</td>\n",
       "      <td>844</td>\n",
       "      <td>381</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>220</th>\n",
       "      <td>Borough Total</td>\n",
       "      <td>Bronx</td>\n",
       "      <td>2005</td>\n",
       "      <td>15175</td>\n",
       "      <td>8229</td>\n",
       "      <td>5618</td>\n",
       "      <td>1544</td>\n",
       "      <td>4074</td>\n",
       "      <td>2611</td>\n",
       "      <td>3943</td>\n",
       "      <td>2147</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>221</th>\n",
       "      <td>Borough Total</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>2005</td>\n",
       "      <td>22331</td>\n",
       "      <td>12603</td>\n",
       "      <td>9488</td>\n",
       "      <td>3618</td>\n",
       "      <td>5870</td>\n",
       "      <td>3115</td>\n",
       "      <td>6320</td>\n",
       "      <td>2578</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>222</th>\n",
       "      <td>Borough Total</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>2005</td>\n",
       "      <td>15843</td>\n",
       "      <td>9816</td>\n",
       "      <td>7623</td>\n",
       "      <td>2673</td>\n",
       "      <td>4950</td>\n",
       "      <td>2192</td>\n",
       "      <td>3874</td>\n",
       "      <td>1597</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>223</th>\n",
       "      <td>Borough Total</td>\n",
       "      <td>Queens</td>\n",
       "      <td>2005</td>\n",
       "      <td>19511</td>\n",
       "      <td>11863</td>\n",
       "      <td>9290</td>\n",
       "      <td>3618</td>\n",
       "      <td>5672</td>\n",
       "      <td>2573</td>\n",
       "      <td>4435</td>\n",
       "      <td>2435</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>224</th>\n",
       "      <td>Borough Total</td>\n",
       "      <td>Staten Island</td>\n",
       "      <td>2005</td>\n",
       "      <td>4460</td>\n",
       "      <td>3098</td>\n",
       "      <td>2467</td>\n",
       "      <td>1059</td>\n",
       "      <td>1408</td>\n",
       "      <td>631</td>\n",
       "      <td>758</td>\n",
       "      <td>362</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>275</th>\n",
       "      <td>Borough Total</td>\n",
       "      <td>Bronx</td>\n",
       "      <td>2006</td>\n",
       "      <td>15579</td>\n",
       "      <td>8524</td>\n",
       "      <td>6312</td>\n",
       "      <td>1558</td>\n",
       "      <td>4754</td>\n",
       "      <td>2212</td>\n",
       "      <td>3824</td>\n",
       "      <td>2402</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>276</th>\n",
       "      <td>Borough Total</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>2006</td>\n",
       "      <td>22177</td>\n",
       "      <td>13040</td>\n",
       "      <td>10440</td>\n",
       "      <td>3717</td>\n",
       "      <td>6723</td>\n",
       "      <td>2600</td>\n",
       "      <td>5636</td>\n",
       "      <td>2731</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>277</th>\n",
       "      <td>Borough Total</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>2006</td>\n",
       "      <td>16416</td>\n",
       "      <td>10411</td>\n",
       "      <td>8715</td>\n",
       "      <td>2781</td>\n",
       "      <td>5934</td>\n",
       "      <td>1696</td>\n",
       "      <td>3719</td>\n",
       "      <td>1684</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>278</th>\n",
       "      <td>Borough Total</td>\n",
       "      <td>Queens</td>\n",
       "      <td>2006</td>\n",
       "      <td>19558</td>\n",
       "      <td>12465</td>\n",
       "      <td>10285</td>\n",
       "      <td>3637</td>\n",
       "      <td>6648</td>\n",
       "      <td>2180</td>\n",
       "      <td>4272</td>\n",
       "      <td>2256</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>279</th>\n",
       "      <td>Borough Total</td>\n",
       "      <td>Staten Island</td>\n",
       "      <td>2006</td>\n",
       "      <td>4603</td>\n",
       "      <td>3346</td>\n",
       "      <td>2818</td>\n",
       "      <td>1192</td>\n",
       "      <td>1626</td>\n",
       "      <td>528</td>\n",
       "      <td>683</td>\n",
       "      <td>414</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Demographic        Borough  Cohort  Total Cohort  Total Grads  \\\n",
       "0    Borough Total          Bronx    2001         11453         4913   \n",
       "1    Borough Total       Brooklyn    2001         19961         9758   \n",
       "2    Borough Total      Manhattan    2001         12670         7480   \n",
       "3    Borough Total         Queens    2001         17011         9180   \n",
       "4    Borough Total  Staten Island    2001          3872         2565   \n",
       "55   Borough Total          Bronx    2002         12032         5328   \n",
       "56   Borough Total       Brooklyn    2002         20808        10337   \n",
       "57   Borough Total      Manhattan    2002         13463         7746   \n",
       "58   Borough Total         Queens    2002         18262         9869   \n",
       "59   Borough Total  Staten Island    2002          4134         2721   \n",
       "110  Borough Total          Bronx    2003         13632         6389   \n",
       "111  Borough Total       Brooklyn    2003         21334        11064   \n",
       "112  Borough Total      Manhattan    2003         13879         7613   \n",
       "113  Borough Total         Queens    2003         18415        10455   \n",
       "114  Borough Total  Staten Island    2003          4218         2812   \n",
       "165  Borough Total          Bronx    2004         14364         7448   \n",
       "166  Borough Total       Brooklyn    2004         22353        12303   \n",
       "167  Borough Total      Manhattan    2004         15127         8780   \n",
       "168  Borough Total         Queens    2004         18725        10922   \n",
       "169  Borough Total  Staten Island    2004          4142         2788   \n",
       "220  Borough Total          Bronx    2005         15175         8229   \n",
       "221  Borough Total       Brooklyn    2005         22331        12603   \n",
       "222  Borough Total      Manhattan    2005         15843         9816   \n",
       "223  Borough Total         Queens    2005         19511        11863   \n",
       "224  Borough Total  Staten Island    2005          4460         3098   \n",
       "275  Borough Total          Bronx    2006         15579         8524   \n",
       "276  Borough Total       Brooklyn    2006         22177        13040   \n",
       "277  Borough Total      Manhattan    2006         16416        10411   \n",
       "278  Borough Total         Queens    2006         19558        12465   \n",
       "279  Borough Total  Staten Island    2006          4603         3346   \n",
       "\n",
       "     Total Regents  Advanced Regents  Regents w/o Advanced   Local  \\\n",
       "0             2644               998                   1646   2271   \n",
       "1             6177              2829                   3348   3591   \n",
       "2             4963              1851                   3112   2519   \n",
       "3             6452              2694                   3758   2738   \n",
       "4             1901               876                   1025    665   \n",
       "55            3118               992                   2126   2217   \n",
       "56            7050              2865                   4185   3298   \n",
       "57            5497              1872                   3625   2259   \n",
       "58            7250              2837                   4413   2624   \n",
       "59            2040               861                   1179    683   \n",
       "110           3861              1255                   2606   2528   \n",
       "111           7711              3239                   4472   3353   \n",
       "112           5499              2527                   2972   2114   \n",
       "113           7917              3395                   4522   2538   \n",
       "114           2169               883                   1286    643   \n",
       "165           4625              1395                   3230   2823   \n",
       "166           8872              3741                   5131   3431   \n",
       "167           6449              2811                   3638   2331   \n",
       "168           8450              3604                   4846   2472   \n",
       "169           2220              1029                   1191    568   \n",
       "220           5618              1544                   4074   2611   \n",
       "221           9488              3618                   5870   3115   \n",
       "222           7623              2673                   4950   2192   \n",
       "223           9290              3618                   5672   2573   \n",
       "224           2467              1059                   1408    631   \n",
       "275           6312              1558                   4754   2212   \n",
       "276          10440              3717                   6723   2600   \n",
       "277           8715              2781                   5934   1696   \n",
       "278          10285              3637                   6648   2180   \n",
       "279           2818              1192                   1626    528   \n",
       "\n",
       "     Still Enrolled  Dropped Out  \n",
       "0              3512         2438  \n",
       "1              6101         3547  \n",
       "2              2829         1962  \n",
       "3              4679         2696  \n",
       "4               786          417  \n",
       "55             4047         2140  \n",
       "56             6368         3369  \n",
       "57             3561         1743  \n",
       "58             4961         2816  \n",
       "59              844          426  \n",
       "110            4258         2472  \n",
       "111            6571         3198  \n",
       "112            4240         1729  \n",
       "113            4869         2718  \n",
       "114             919          374  \n",
       "165            4169         2303  \n",
       "166            6487         2973  \n",
       "167            4243         1842  \n",
       "168            5001         2505  \n",
       "169             844          381  \n",
       "220            3943         2147  \n",
       "221            6320         2578  \n",
       "222            3874         1597  \n",
       "223            4435         2435  \n",
       "224             758          362  \n",
       "275            3824         2402  \n",
       "276            5636         2731  \n",
       "277            3719         1684  \n",
       "278            4272         2256  \n",
       "279             683          414  "
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# lets apply that filter to our data\n",
    "print(len(df[bar_tot]))\n",
    "df[bar_tot]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {
    "collapsed": false,
    "scrolled": true,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width);\n",
       "        canvas.attr('height', height);\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'];\n",
       "    var y0 = fig.canvas.height - msg['y0'];\n",
       "    var x1 = msg['x1'];\n",
       "    var y1 = fig.canvas.height - msg['y1'];\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x;\n",
       "    var y = canvas_pos.y;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x115968cc0>"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#hard to see, so lets visualize\n",
    "%matplotlib notebook\n",
    "df['Total Cohort'][bar_tot].plot(kind=\"hist\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [],
   "source": [
    "df[bar_tot].plot(kind=\"scatter\", x=\"Total Cohort\", y=\"Total Grads\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Demographic</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Cohort</th>\n",
       "      <th>Total Cohort</th>\n",
       "      <th>Total Grads</th>\n",
       "      <th>Total Regents</th>\n",
       "      <th>Advanced Regents</th>\n",
       "      <th>Regents w/o Advanced</th>\n",
       "      <th>Local</th>\n",
       "      <th>Still Enrolled</th>\n",
       "      <th>Dropped Out</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Borough Total</td>\n",
       "      <td>Bronx</td>\n",
       "      <td>2001</td>\n",
       "      <td>11453</td>\n",
       "      <td>4913</td>\n",
       "      <td>2644</td>\n",
       "      <td>998</td>\n",
       "      <td>1646</td>\n",
       "      <td>2271</td>\n",
       "      <td>3512</td>\n",
       "      <td>2438</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Borough Total</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>2001</td>\n",
       "      <td>19961</td>\n",
       "      <td>9758</td>\n",
       "      <td>6177</td>\n",
       "      <td>2829</td>\n",
       "      <td>3348</td>\n",
       "      <td>3591</td>\n",
       "      <td>6101</td>\n",
       "      <td>3547</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Borough Total</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>2001</td>\n",
       "      <td>12670</td>\n",
       "      <td>7480</td>\n",
       "      <td>4963</td>\n",
       "      <td>1851</td>\n",
       "      <td>3112</td>\n",
       "      <td>2519</td>\n",
       "      <td>2829</td>\n",
       "      <td>1962</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Borough Total</td>\n",
       "      <td>Queens</td>\n",
       "      <td>2001</td>\n",
       "      <td>17011</td>\n",
       "      <td>9180</td>\n",
       "      <td>6452</td>\n",
       "      <td>2694</td>\n",
       "      <td>3758</td>\n",
       "      <td>2738</td>\n",
       "      <td>4679</td>\n",
       "      <td>2696</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Borough Total</td>\n",
       "      <td>Staten Island</td>\n",
       "      <td>2001</td>\n",
       "      <td>3872</td>\n",
       "      <td>2565</td>\n",
       "      <td>1901</td>\n",
       "      <td>876</td>\n",
       "      <td>1025</td>\n",
       "      <td>665</td>\n",
       "      <td>786</td>\n",
       "      <td>417</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>English Language Learners</td>\n",
       "      <td>Bronx</td>\n",
       "      <td>2001</td>\n",
       "      <td>1984</td>\n",
       "      <td>388</td>\n",
       "      <td>78</td>\n",
       "      <td>10</td>\n",
       "      <td>68</td>\n",
       "      <td>311</td>\n",
       "      <td>799</td>\n",
       "      <td>592</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>English Language Learners</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>2001</td>\n",
       "      <td>2543</td>\n",
       "      <td>691</td>\n",
       "      <td>268</td>\n",
       "      <td>116</td>\n",
       "      <td>152</td>\n",
       "      <td>424</td>\n",
       "      <td>1070</td>\n",
       "      <td>658</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>English Language Learners</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>2001</td>\n",
       "      <td>1956</td>\n",
       "      <td>691</td>\n",
       "      <td>237</td>\n",
       "      <td>49</td>\n",
       "      <td>188</td>\n",
       "      <td>454</td>\n",
       "      <td>592</td>\n",
       "      <td>527</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>English Language Learners</td>\n",
       "      <td>Queens</td>\n",
       "      <td>2001</td>\n",
       "      <td>2689</td>\n",
       "      <td>873</td>\n",
       "      <td>362</td>\n",
       "      <td>136</td>\n",
       "      <td>226</td>\n",
       "      <td>512</td>\n",
       "      <td>1023</td>\n",
       "      <td>673</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>English Language Learners</td>\n",
       "      <td>Staten Island</td>\n",
       "      <td>2001</td>\n",
       "      <td>171</td>\n",
       "      <td>42</td>\n",
       "      <td>16</td>\n",
       "      <td>4</td>\n",
       "      <td>12</td>\n",
       "      <td>26</td>\n",
       "      <td>78</td>\n",
       "      <td>38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>English Proficient Students</td>\n",
       "      <td>Bronx</td>\n",
       "      <td>2001</td>\n",
       "      <td>9469</td>\n",
       "      <td>4525</td>\n",
       "      <td>2566</td>\n",
       "      <td>988</td>\n",
       "      <td>1578</td>\n",
       "      <td>1960</td>\n",
       "      <td>2713</td>\n",
       "      <td>1846</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>English Proficient Students</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>2001</td>\n",
       "      <td>17418</td>\n",
       "      <td>9067</td>\n",
       "      <td>5909</td>\n",
       "      <td>2713</td>\n",
       "      <td>3196</td>\n",
       "      <td>3167</td>\n",
       "      <td>5031</td>\n",
       "      <td>2889</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>English Proficient Students</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>2001</td>\n",
       "      <td>10714</td>\n",
       "      <td>6789</td>\n",
       "      <td>4726</td>\n",
       "      <td>1802</td>\n",
       "      <td>2924</td>\n",
       "      <td>2065</td>\n",
       "      <td>2237</td>\n",
       "      <td>1435</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>English Proficient Students</td>\n",
       "      <td>Queens</td>\n",
       "      <td>2001</td>\n",
       "      <td>14322</td>\n",
       "      <td>8307</td>\n",
       "      <td>6090</td>\n",
       "      <td>2558</td>\n",
       "      <td>3532</td>\n",
       "      <td>2226</td>\n",
       "      <td>3656</td>\n",
       "      <td>2023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>English Proficient Students</td>\n",
       "      <td>Staten Island</td>\n",
       "      <td>2001</td>\n",
       "      <td>3701</td>\n",
       "      <td>2523</td>\n",
       "      <td>1885</td>\n",
       "      <td>872</td>\n",
       "      <td>1013</td>\n",
       "      <td>639</td>\n",
       "      <td>708</td>\n",
       "      <td>379</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Special Education</td>\n",
       "      <td>Bronx</td>\n",
       "      <td>2001</td>\n",
       "      <td>2259</td>\n",
       "      <td>309</td>\n",
       "      <td>40</td>\n",
       "      <td>6</td>\n",
       "      <td>34</td>\n",
       "      <td>271</td>\n",
       "      <td>561</td>\n",
       "      <td>866</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Special Education</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>2001</td>\n",
       "      <td>2702</td>\n",
       "      <td>402</td>\n",
       "      <td>69</td>\n",
       "      <td>11</td>\n",
       "      <td>58</td>\n",
       "      <td>339</td>\n",
       "      <td>869</td>\n",
       "      <td>947</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Special Education</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>2001</td>\n",
       "      <td>1586</td>\n",
       "      <td>292</td>\n",
       "      <td>58</td>\n",
       "      <td>5</td>\n",
       "      <td>53</td>\n",
       "      <td>235</td>\n",
       "      <td>407</td>\n",
       "      <td>553</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Special Education</td>\n",
       "      <td>Queens</td>\n",
       "      <td>2001</td>\n",
       "      <td>1999</td>\n",
       "      <td>419</td>\n",
       "      <td>63</td>\n",
       "      <td>14</td>\n",
       "      <td>49</td>\n",
       "      <td>359</td>\n",
       "      <td>559</td>\n",
       "      <td>643</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Special Education</td>\n",
       "      <td>Staten Island</td>\n",
       "      <td>2001</td>\n",
       "      <td>622</td>\n",
       "      <td>184</td>\n",
       "      <td>26</td>\n",
       "      <td>2</td>\n",
       "      <td>24</td>\n",
       "      <td>158</td>\n",
       "      <td>184</td>\n",
       "      <td>160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>General Education</td>\n",
       "      <td>Bronx</td>\n",
       "      <td>2001</td>\n",
       "      <td>9194</td>\n",
       "      <td>4604</td>\n",
       "      <td>2604</td>\n",
       "      <td>992</td>\n",
       "      <td>1612</td>\n",
       "      <td>2000</td>\n",
       "      <td>2951</td>\n",
       "      <td>1572</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>General Education</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>2001</td>\n",
       "      <td>17259</td>\n",
       "      <td>9356</td>\n",
       "      <td>6108</td>\n",
       "      <td>2818</td>\n",
       "      <td>3290</td>\n",
       "      <td>3252</td>\n",
       "      <td>5232</td>\n",
       "      <td>2600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>General Education</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>2001</td>\n",
       "      <td>11084</td>\n",
       "      <td>7188</td>\n",
       "      <td>4905</td>\n",
       "      <td>1846</td>\n",
       "      <td>3059</td>\n",
       "      <td>2284</td>\n",
       "      <td>2422</td>\n",
       "      <td>1409</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>General Education</td>\n",
       "      <td>Queens</td>\n",
       "      <td>2001</td>\n",
       "      <td>15012</td>\n",
       "      <td>8761</td>\n",
       "      <td>6389</td>\n",
       "      <td>2680</td>\n",
       "      <td>3709</td>\n",
       "      <td>2379</td>\n",
       "      <td>4120</td>\n",
       "      <td>2053</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>General Education</td>\n",
       "      <td>Staten Island</td>\n",
       "      <td>2001</td>\n",
       "      <td>3250</td>\n",
       "      <td>2381</td>\n",
       "      <td>1875</td>\n",
       "      <td>874</td>\n",
       "      <td>1001</td>\n",
       "      <td>507</td>\n",
       "      <td>602</td>\n",
       "      <td>257</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Asian</td>\n",
       "      <td>Bronx</td>\n",
       "      <td>2001</td>\n",
       "      <td>638</td>\n",
       "      <td>479</td>\n",
       "      <td>396</td>\n",
       "      <td>314</td>\n",
       "      <td>82</td>\n",
       "      <td>84</td>\n",
       "      <td>92</td>\n",
       "      <td>60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Asian</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>2001</td>\n",
       "      <td>2418</td>\n",
       "      <td>1543</td>\n",
       "      <td>1305</td>\n",
       "      <td>930</td>\n",
       "      <td>375</td>\n",
       "      <td>239</td>\n",
       "      <td>554</td>\n",
       "      <td>303</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Asian</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>2001</td>\n",
       "      <td>1581</td>\n",
       "      <td>1265</td>\n",
       "      <td>1038</td>\n",
       "      <td>622</td>\n",
       "      <td>416</td>\n",
       "      <td>227</td>\n",
       "      <td>210</td>\n",
       "      <td>97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Asian</td>\n",
       "      <td>Queens</td>\n",
       "      <td>2001</td>\n",
       "      <td>4222</td>\n",
       "      <td>2836</td>\n",
       "      <td>2258</td>\n",
       "      <td>1273</td>\n",
       "      <td>985</td>\n",
       "      <td>580</td>\n",
       "      <td>885</td>\n",
       "      <td>452</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Asian</td>\n",
       "      <td>Staten Island</td>\n",
       "      <td>2001</td>\n",
       "      <td>333</td>\n",
       "      <td>268</td>\n",
       "      <td>225</td>\n",
       "      <td>138</td>\n",
       "      <td>87</td>\n",
       "      <td>43</td>\n",
       "      <td>46</td>\n",
       "      <td>16</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>Asian</td>\n",
       "      <td>Bronx</td>\n",
       "      <td>2002</td>\n",
       "      <td>681</td>\n",
       "      <td>497</td>\n",
       "      <td>451</td>\n",
       "      <td>350</td>\n",
       "      <td>101</td>\n",
       "      <td>46</td>\n",
       "      <td>132</td>\n",
       "      <td>39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>Asian</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>2002</td>\n",
       "      <td>2676</td>\n",
       "      <td>1765</td>\n",
       "      <td>1557</td>\n",
       "      <td>1052</td>\n",
       "      <td>505</td>\n",
       "      <td>209</td>\n",
       "      <td>556</td>\n",
       "      <td>327</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>Asian</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>2002</td>\n",
       "      <td>1748</td>\n",
       "      <td>1374</td>\n",
       "      <td>1224</td>\n",
       "      <td>706</td>\n",
       "      <td>518</td>\n",
       "      <td>151</td>\n",
       "      <td>239</td>\n",
       "      <td>90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>Asian</td>\n",
       "      <td>Queens</td>\n",
       "      <td>2002</td>\n",
       "      <td>4613</td>\n",
       "      <td>3073</td>\n",
       "      <td>2538</td>\n",
       "      <td>1349</td>\n",
       "      <td>1189</td>\n",
       "      <td>537</td>\n",
       "      <td>948</td>\n",
       "      <td>482</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>Asian</td>\n",
       "      <td>Staten Island</td>\n",
       "      <td>2002</td>\n",
       "      <td>319</td>\n",
       "      <td>265</td>\n",
       "      <td>222</td>\n",
       "      <td>141</td>\n",
       "      <td>81</td>\n",
       "      <td>44</td>\n",
       "      <td>35</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>Black</td>\n",
       "      <td>Bronx</td>\n",
       "      <td>2002</td>\n",
       "      <td>3965</td>\n",
       "      <td>1717</td>\n",
       "      <td>945</td>\n",
       "      <td>143</td>\n",
       "      <td>802</td>\n",
       "      <td>774</td>\n",
       "      <td>1415</td>\n",
       "      <td>639</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>Black</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>2002</td>\n",
       "      <td>9789</td>\n",
       "      <td>4435</td>\n",
       "      <td>2591</td>\n",
       "      <td>586</td>\n",
       "      <td>2005</td>\n",
       "      <td>1852</td>\n",
       "      <td>3438</td>\n",
       "      <td>1428</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>Black</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>2002</td>\n",
       "      <td>4045</td>\n",
       "      <td>2060</td>\n",
       "      <td>1276</td>\n",
       "      <td>223</td>\n",
       "      <td>1053</td>\n",
       "      <td>789</td>\n",
       "      <td>1261</td>\n",
       "      <td>591</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>Black</td>\n",
       "      <td>Queens</td>\n",
       "      <td>2002</td>\n",
       "      <td>4800</td>\n",
       "      <td>2284</td>\n",
       "      <td>1368</td>\n",
       "      <td>295</td>\n",
       "      <td>1073</td>\n",
       "      <td>917</td>\n",
       "      <td>1512</td>\n",
       "      <td>788</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>Black</td>\n",
       "      <td>Staten Island</td>\n",
       "      <td>2002</td>\n",
       "      <td>686</td>\n",
       "      <td>334</td>\n",
       "      <td>203</td>\n",
       "      <td>39</td>\n",
       "      <td>164</td>\n",
       "      <td>132</td>\n",
       "      <td>225</td>\n",
       "      <td>90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>Hispanic</td>\n",
       "      <td>Bronx</td>\n",
       "      <td>2002</td>\n",
       "      <td>6623</td>\n",
       "      <td>2606</td>\n",
       "      <td>1325</td>\n",
       "      <td>228</td>\n",
       "      <td>1097</td>\n",
       "      <td>1286</td>\n",
       "      <td>2351</td>\n",
       "      <td>1378</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>Hispanic</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>2002</td>\n",
       "      <td>4662</td>\n",
       "      <td>1803</td>\n",
       "      <td>937</td>\n",
       "      <td>236</td>\n",
       "      <td>701</td>\n",
       "      <td>867</td>\n",
       "      <td>1649</td>\n",
       "      <td>1052</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>Hispanic</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>2002</td>\n",
       "      <td>5985</td>\n",
       "      <td>2974</td>\n",
       "      <td>1823</td>\n",
       "      <td>379</td>\n",
       "      <td>1444</td>\n",
       "      <td>1155</td>\n",
       "      <td>1857</td>\n",
       "      <td>965</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>Hispanic</td>\n",
       "      <td>Queens</td>\n",
       "      <td>2002</td>\n",
       "      <td>5952</td>\n",
       "      <td>2656</td>\n",
       "      <td>1822</td>\n",
       "      <td>476</td>\n",
       "      <td>1346</td>\n",
       "      <td>835</td>\n",
       "      <td>1941</td>\n",
       "      <td>1154</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>Hispanic</td>\n",
       "      <td>Staten Island</td>\n",
       "      <td>2002</td>\n",
       "      <td>731</td>\n",
       "      <td>349</td>\n",
       "      <td>228</td>\n",
       "      <td>51</td>\n",
       "      <td>177</td>\n",
       "      <td>121</td>\n",
       "      <td>217</td>\n",
       "      <td>133</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>White</td>\n",
       "      <td>Bronx</td>\n",
       "      <td>2002</td>\n",
       "      <td>696</td>\n",
       "      <td>473</td>\n",
       "      <td>379</td>\n",
       "      <td>267</td>\n",
       "      <td>112</td>\n",
       "      <td>94</td>\n",
       "      <td>130</td>\n",
       "      <td>73</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>White</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>2002</td>\n",
       "      <td>3619</td>\n",
       "      <td>2315</td>\n",
       "      <td>1952</td>\n",
       "      <td>987</td>\n",
       "      <td>965</td>\n",
       "      <td>364</td>\n",
       "      <td>701</td>\n",
       "      <td>547</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>White</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>2002</td>\n",
       "      <td>1640</td>\n",
       "      <td>1319</td>\n",
       "      <td>1162</td>\n",
       "      <td>561</td>\n",
       "      <td>601</td>\n",
       "      <td>157</td>\n",
       "      <td>189</td>\n",
       "      <td>87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>White</td>\n",
       "      <td>Queens</td>\n",
       "      <td>2002</td>\n",
       "      <td>2839</td>\n",
       "      <td>1833</td>\n",
       "      <td>1509</td>\n",
       "      <td>712</td>\n",
       "      <td>797</td>\n",
       "      <td>325</td>\n",
       "      <td>539</td>\n",
       "      <td>383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>White</td>\n",
       "      <td>Staten Island</td>\n",
       "      <td>2002</td>\n",
       "      <td>2389</td>\n",
       "      <td>1768</td>\n",
       "      <td>1384</td>\n",
       "      <td>628</td>\n",
       "      <td>756</td>\n",
       "      <td>384</td>\n",
       "      <td>364</td>\n",
       "      <td>187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>Female</td>\n",
       "      <td>Bronx</td>\n",
       "      <td>2002</td>\n",
       "      <td>5835</td>\n",
       "      <td>2921</td>\n",
       "      <td>1652</td>\n",
       "      <td>474</td>\n",
       "      <td>1178</td>\n",
       "      <td>1273</td>\n",
       "      <td>1832</td>\n",
       "      <td>880</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>Female</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>2002</td>\n",
       "      <td>10253</td>\n",
       "      <td>5723</td>\n",
       "      <td>3861</td>\n",
       "      <td>1534</td>\n",
       "      <td>2327</td>\n",
       "      <td>1867</td>\n",
       "      <td>2827</td>\n",
       "      <td>1388</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>Female</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>2002</td>\n",
       "      <td>7277</td>\n",
       "      <td>4652</td>\n",
       "      <td>3265</td>\n",
       "      <td>990</td>\n",
       "      <td>2275</td>\n",
       "      <td>1394</td>\n",
       "      <td>1645</td>\n",
       "      <td>806</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>Female</td>\n",
       "      <td>Queens</td>\n",
       "      <td>2002</td>\n",
       "      <td>8976</td>\n",
       "      <td>5511</td>\n",
       "      <td>4032</td>\n",
       "      <td>1695</td>\n",
       "      <td>2337</td>\n",
       "      <td>1484</td>\n",
       "      <td>2091</td>\n",
       "      <td>1124</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>Female</td>\n",
       "      <td>Staten Island</td>\n",
       "      <td>2002</td>\n",
       "      <td>2023</td>\n",
       "      <td>1426</td>\n",
       "      <td>1092</td>\n",
       "      <td>461</td>\n",
       "      <td>631</td>\n",
       "      <td>335</td>\n",
       "      <td>341</td>\n",
       "      <td>186</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>Male</td>\n",
       "      <td>Bronx</td>\n",
       "      <td>2002</td>\n",
       "      <td>6197</td>\n",
       "      <td>2407</td>\n",
       "      <td>1466</td>\n",
       "      <td>518</td>\n",
       "      <td>948</td>\n",
       "      <td>944</td>\n",
       "      <td>2215</td>\n",
       "      <td>1260</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>Male</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>2002</td>\n",
       "      <td>10555</td>\n",
       "      <td>4614</td>\n",
       "      <td>3189</td>\n",
       "      <td>1331</td>\n",
       "      <td>1858</td>\n",
       "      <td>1431</td>\n",
       "      <td>3541</td>\n",
       "      <td>1981</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>Male</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>2002</td>\n",
       "      <td>6186</td>\n",
       "      <td>3094</td>\n",
       "      <td>2232</td>\n",
       "      <td>882</td>\n",
       "      <td>1350</td>\n",
       "      <td>865</td>\n",
       "      <td>1916</td>\n",
       "      <td>937</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>Male</td>\n",
       "      <td>Queens</td>\n",
       "      <td>2002</td>\n",
       "      <td>9286</td>\n",
       "      <td>4358</td>\n",
       "      <td>3218</td>\n",
       "      <td>1142</td>\n",
       "      <td>2076</td>\n",
       "      <td>1140</td>\n",
       "      <td>2870</td>\n",
       "      <td>1692</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>Male</td>\n",
       "      <td>Staten Island</td>\n",
       "      <td>2002</td>\n",
       "      <td>2111</td>\n",
       "      <td>1295</td>\n",
       "      <td>948</td>\n",
       "      <td>400</td>\n",
       "      <td>548</td>\n",
       "      <td>348</td>\n",
       "      <td>503</td>\n",
       "      <td>240</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>110 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                     Demographic        Borough  Cohort  Total Cohort  \\\n",
       "0                  Borough Total          Bronx    2001         11453   \n",
       "1                  Borough Total       Brooklyn    2001         19961   \n",
       "2                  Borough Total      Manhattan    2001         12670   \n",
       "3                  Borough Total         Queens    2001         17011   \n",
       "4                  Borough Total  Staten Island    2001          3872   \n",
       "5      English Language Learners          Bronx    2001          1984   \n",
       "6      English Language Learners       Brooklyn    2001          2543   \n",
       "7      English Language Learners      Manhattan    2001          1956   \n",
       "8      English Language Learners         Queens    2001          2689   \n",
       "9      English Language Learners  Staten Island    2001           171   \n",
       "10   English Proficient Students          Bronx    2001          9469   \n",
       "11   English Proficient Students       Brooklyn    2001         17418   \n",
       "12   English Proficient Students      Manhattan    2001         10714   \n",
       "13   English Proficient Students         Queens    2001         14322   \n",
       "14   English Proficient Students  Staten Island    2001          3701   \n",
       "15             Special Education          Bronx    2001          2259   \n",
       "16             Special Education       Brooklyn    2001          2702   \n",
       "17             Special Education      Manhattan    2001          1586   \n",
       "18             Special Education         Queens    2001          1999   \n",
       "19             Special Education  Staten Island    2001           622   \n",
       "20             General Education          Bronx    2001          9194   \n",
       "21             General Education       Brooklyn    2001         17259   \n",
       "22             General Education      Manhattan    2001         11084   \n",
       "23             General Education         Queens    2001         15012   \n",
       "24             General Education  Staten Island    2001          3250   \n",
       "25                         Asian          Bronx    2001           638   \n",
       "26                         Asian       Brooklyn    2001          2418   \n",
       "27                         Asian      Manhattan    2001          1581   \n",
       "28                         Asian         Queens    2001          4222   \n",
       "29                         Asian  Staten Island    2001           333   \n",
       "..                           ...            ...     ...           ...   \n",
       "80                         Asian          Bronx    2002           681   \n",
       "81                         Asian       Brooklyn    2002          2676   \n",
       "82                         Asian      Manhattan    2002          1748   \n",
       "83                         Asian         Queens    2002          4613   \n",
       "84                         Asian  Staten Island    2002           319   \n",
       "85                         Black          Bronx    2002          3965   \n",
       "86                         Black       Brooklyn    2002          9789   \n",
       "87                         Black      Manhattan    2002          4045   \n",
       "88                         Black         Queens    2002          4800   \n",
       "89                         Black  Staten Island    2002           686   \n",
       "90                      Hispanic          Bronx    2002          6623   \n",
       "91                      Hispanic       Brooklyn    2002          4662   \n",
       "92                      Hispanic      Manhattan    2002          5985   \n",
       "93                      Hispanic         Queens    2002          5952   \n",
       "94                      Hispanic  Staten Island    2002           731   \n",
       "95                         White          Bronx    2002           696   \n",
       "96                         White       Brooklyn    2002          3619   \n",
       "97                         White      Manhattan    2002          1640   \n",
       "98                         White         Queens    2002          2839   \n",
       "99                         White  Staten Island    2002          2389   \n",
       "100                       Female          Bronx    2002          5835   \n",
       "101                       Female       Brooklyn    2002         10253   \n",
       "102                       Female      Manhattan    2002          7277   \n",
       "103                       Female         Queens    2002          8976   \n",
       "104                       Female  Staten Island    2002          2023   \n",
       "105                         Male          Bronx    2002          6197   \n",
       "106                         Male       Brooklyn    2002         10555   \n",
       "107                         Male      Manhattan    2002          6186   \n",
       "108                         Male         Queens    2002          9286   \n",
       "109                         Male  Staten Island    2002          2111   \n",
       "\n",
       "     Total Grads  Total Regents  Advanced Regents  Regents w/o Advanced   \\\n",
       "0           4913           2644               998                   1646   \n",
       "1           9758           6177              2829                   3348   \n",
       "2           7480           4963              1851                   3112   \n",
       "3           9180           6452              2694                   3758   \n",
       "4           2565           1901               876                   1025   \n",
       "5            388             78                10                     68   \n",
       "6            691            268               116                    152   \n",
       "7            691            237                49                    188   \n",
       "8            873            362               136                    226   \n",
       "9             42             16                 4                     12   \n",
       "10          4525           2566               988                   1578   \n",
       "11          9067           5909              2713                   3196   \n",
       "12          6789           4726              1802                   2924   \n",
       "13          8307           6090              2558                   3532   \n",
       "14          2523           1885               872                   1013   \n",
       "15           309             40                 6                     34   \n",
       "16           402             69                11                     58   \n",
       "17           292             58                 5                     53   \n",
       "18           419             63                14                     49   \n",
       "19           184             26                 2                     24   \n",
       "20          4604           2604               992                   1612   \n",
       "21          9356           6108              2818                   3290   \n",
       "22          7188           4905              1846                   3059   \n",
       "23          8761           6389              2680                   3709   \n",
       "24          2381           1875               874                   1001   \n",
       "25           479            396               314                     82   \n",
       "26          1543           1305               930                    375   \n",
       "27          1265           1038               622                    416   \n",
       "28          2836           2258              1273                    985   \n",
       "29           268            225               138                     87   \n",
       "..           ...            ...               ...                    ...   \n",
       "80           497            451               350                    101   \n",
       "81          1765           1557              1052                    505   \n",
       "82          1374           1224               706                    518   \n",
       "83          3073           2538              1349                   1189   \n",
       "84           265            222               141                     81   \n",
       "85          1717            945               143                    802   \n",
       "86          4435           2591               586                   2005   \n",
       "87          2060           1276               223                   1053   \n",
       "88          2284           1368               295                   1073   \n",
       "89           334            203                39                    164   \n",
       "90          2606           1325               228                   1097   \n",
       "91          1803            937               236                    701   \n",
       "92          2974           1823               379                   1444   \n",
       "93          2656           1822               476                   1346   \n",
       "94           349            228                51                    177   \n",
       "95           473            379               267                    112   \n",
       "96          2315           1952               987                    965   \n",
       "97          1319           1162               561                    601   \n",
       "98          1833           1509               712                    797   \n",
       "99          1768           1384               628                    756   \n",
       "100         2921           1652               474                   1178   \n",
       "101         5723           3861              1534                   2327   \n",
       "102         4652           3265               990                   2275   \n",
       "103         5511           4032              1695                   2337   \n",
       "104         1426           1092               461                    631   \n",
       "105         2407           1466               518                    948   \n",
       "106         4614           3189              1331                   1858   \n",
       "107         3094           2232               882                   1350   \n",
       "108         4358           3218              1142                   2076   \n",
       "109         1295            948               400                    548   \n",
       "\n",
       "     Local  Still Enrolled  Dropped Out  \n",
       "0     2271            3512         2438  \n",
       "1     3591            6101         3547  \n",
       "2     2519            2829         1962  \n",
       "3     2738            4679         2696  \n",
       "4      665             786          417  \n",
       "5      311             799          592  \n",
       "6      424            1070          658  \n",
       "7      454             592          527  \n",
       "8      512            1023          673  \n",
       "9       26              78           38  \n",
       "10    1960            2713         1846  \n",
       "11    3167            5031         2889  \n",
       "12    2065            2237         1435  \n",
       "13    2226            3656         2023  \n",
       "14     639             708          379  \n",
       "15     271             561          866  \n",
       "16     339             869          947  \n",
       "17     235             407          553  \n",
       "18     359             559          643  \n",
       "19     158             184          160  \n",
       "20    2000            2951         1572  \n",
       "21    3252            5232         2600  \n",
       "22    2284            2422         1409  \n",
       "23    2379            4120         2053  \n",
       "24     507             602          257  \n",
       "25      84              92           60  \n",
       "26     239             554          303  \n",
       "27     227             210           97  \n",
       "28     580             885          452  \n",
       "29      43              46           16  \n",
       "..     ...             ...          ...  \n",
       "80      46             132           39  \n",
       "81     209             556          327  \n",
       "82     151             239           90  \n",
       "83     537             948          482  \n",
       "84      44              35           15  \n",
       "85     774            1415          639  \n",
       "86    1852            3438         1428  \n",
       "87     789            1261          591  \n",
       "88     917            1512          788  \n",
       "89     132             225           90  \n",
       "90    1286            2351         1378  \n",
       "91     867            1649         1052  \n",
       "92    1155            1857          965  \n",
       "93     835            1941         1154  \n",
       "94     121             217          133  \n",
       "95      94             130           73  \n",
       "96     364             701          547  \n",
       "97     157             189           87  \n",
       "98     325             539          383  \n",
       "99     384             364          187  \n",
       "100   1273            1832          880  \n",
       "101   1867            2827         1388  \n",
       "102   1394            1645          806  \n",
       "103   1484            2091         1124  \n",
       "104    335             341          186  \n",
       "105    944            2215         1260  \n",
       "106   1431            3541         1981  \n",
       "107    865            1916          937  \n",
       "108   1140            2870         1692  \n",
       "109    348             503          240  \n",
       "\n",
       "[110 rows x 11 columns]"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Lets find  cohorts before 2003\n",
    "early = (df['Cohort']<2003)\n",
    "df[early]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Demographic</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Cohort</th>\n",
       "      <th>Total Cohort</th>\n",
       "      <th>Total Grads</th>\n",
       "      <th>Total Regents</th>\n",
       "      <th>Advanced Regents</th>\n",
       "      <th>Regents w/o Advanced</th>\n",
       "      <th>Local</th>\n",
       "      <th>Still Enrolled</th>\n",
       "      <th>Dropped Out</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>Female</td>\n",
       "      <td>Bronx</td>\n",
       "      <td>2001</td>\n",
       "      <td>5532</td>\n",
       "      <td>2711</td>\n",
       "      <td>1409</td>\n",
       "      <td>519</td>\n",
       "      <td>890</td>\n",
       "      <td>1305</td>\n",
       "      <td>1547</td>\n",
       "      <td>1052</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>Female</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>2001</td>\n",
       "      <td>9849</td>\n",
       "      <td>5538</td>\n",
       "      <td>3455</td>\n",
       "      <td>1568</td>\n",
       "      <td>1887</td>\n",
       "      <td>2086</td>\n",
       "      <td>2656</td>\n",
       "      <td>1446</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>Female</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>2001</td>\n",
       "      <td>6720</td>\n",
       "      <td>4434</td>\n",
       "      <td>2995</td>\n",
       "      <td>1040</td>\n",
       "      <td>1955</td>\n",
       "      <td>1440</td>\n",
       "      <td>1286</td>\n",
       "      <td>831</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>Female</td>\n",
       "      <td>Queens</td>\n",
       "      <td>2001</td>\n",
       "      <td>8327</td>\n",
       "      <td>5089</td>\n",
       "      <td>3600</td>\n",
       "      <td>1566</td>\n",
       "      <td>2034</td>\n",
       "      <td>1496</td>\n",
       "      <td>1991</td>\n",
       "      <td>1064</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>Female</td>\n",
       "      <td>Staten Island</td>\n",
       "      <td>2001</td>\n",
       "      <td>1805</td>\n",
       "      <td>1307</td>\n",
       "      <td>964</td>\n",
       "      <td>453</td>\n",
       "      <td>511</td>\n",
       "      <td>344</td>\n",
       "      <td>304</td>\n",
       "      <td>149</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>Female</td>\n",
       "      <td>Bronx</td>\n",
       "      <td>2002</td>\n",
       "      <td>5835</td>\n",
       "      <td>2921</td>\n",
       "      <td>1652</td>\n",
       "      <td>474</td>\n",
       "      <td>1178</td>\n",
       "      <td>1273</td>\n",
       "      <td>1832</td>\n",
       "      <td>880</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>Female</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>2002</td>\n",
       "      <td>10253</td>\n",
       "      <td>5723</td>\n",
       "      <td>3861</td>\n",
       "      <td>1534</td>\n",
       "      <td>2327</td>\n",
       "      <td>1867</td>\n",
       "      <td>2827</td>\n",
       "      <td>1388</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>Female</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>2002</td>\n",
       "      <td>7277</td>\n",
       "      <td>4652</td>\n",
       "      <td>3265</td>\n",
       "      <td>990</td>\n",
       "      <td>2275</td>\n",
       "      <td>1394</td>\n",
       "      <td>1645</td>\n",
       "      <td>806</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>Female</td>\n",
       "      <td>Queens</td>\n",
       "      <td>2002</td>\n",
       "      <td>8976</td>\n",
       "      <td>5511</td>\n",
       "      <td>4032</td>\n",
       "      <td>1695</td>\n",
       "      <td>2337</td>\n",
       "      <td>1484</td>\n",
       "      <td>2091</td>\n",
       "      <td>1124</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>Female</td>\n",
       "      <td>Staten Island</td>\n",
       "      <td>2002</td>\n",
       "      <td>2023</td>\n",
       "      <td>1426</td>\n",
       "      <td>1092</td>\n",
       "      <td>461</td>\n",
       "      <td>631</td>\n",
       "      <td>335</td>\n",
       "      <td>341</td>\n",
       "      <td>186</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Demographic        Borough  Cohort  Total Cohort  Total Grads  \\\n",
       "45       Female          Bronx    2001          5532         2711   \n",
       "46       Female       Brooklyn    2001          9849         5538   \n",
       "47       Female      Manhattan    2001          6720         4434   \n",
       "48       Female         Queens    2001          8327         5089   \n",
       "49       Female  Staten Island    2001          1805         1307   \n",
       "100      Female          Bronx    2002          5835         2921   \n",
       "101      Female       Brooklyn    2002         10253         5723   \n",
       "102      Female      Manhattan    2002          7277         4652   \n",
       "103      Female         Queens    2002          8976         5511   \n",
       "104      Female  Staten Island    2002          2023         1426   \n",
       "\n",
       "     Total Regents  Advanced Regents  Regents w/o Advanced   Local  \\\n",
       "45            1409               519                    890   1305   \n",
       "46            3455              1568                   1887   2086   \n",
       "47            2995              1040                   1955   1440   \n",
       "48            3600              1566                   2034   1496   \n",
       "49             964               453                    511    344   \n",
       "100           1652               474                   1178   1273   \n",
       "101           3861              1534                   2327   1867   \n",
       "102           3265               990                   2275   1394   \n",
       "103           4032              1695                   2337   1484   \n",
       "104           1092               461                    631    335   \n",
       "\n",
       "     Still Enrolled  Dropped Out  \n",
       "45             1547         1052  \n",
       "46             2656         1446  \n",
       "47             1286          831  \n",
       "48             1991         1064  \n",
       "49              304          149  \n",
       "100            1832          880  \n",
       "101            2827         1388  \n",
       "102            1645          806  \n",
       "103            2091         1124  \n",
       "104             341          186  "
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#lets find female cohorts before 2003\n",
    "female = df['Demographic'].str.contains('Female')\n",
    "early = (df['Cohort']<2003)\n",
    "fe = df[female & early]\n",
    "fe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {
    "collapsed": false,
    "scrolled": true,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width);\n",
       "        canvas.attr('height', height);\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'];\n",
       "    var y0 = fig.canvas.height - msg['y0'];\n",
       "    var x1 = msg['x1'];\n",
       "    var y1 = fig.canvas.height - msg['y1'];\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x;\n",
       "    var y = canvas_pos.y;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
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     "output_type": "display_data"
    },
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\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x11653f7f0>"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%matplotlib notebook\n",
    "fe['Total Grads'].plot(kind='bar')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Demographic              Female\n",
       "Borough                   Bronx\n",
       "Cohort                     2002\n",
       "Total Cohort               5835\n",
       "Total Grads                2921\n",
       "Total Regents              1652\n",
       "Advanced Regents            474\n",
       "Regents w/o Advanced       1178\n",
       "Local                      1273\n",
       "Still Enrolled             1832\n",
       "Dropped Out                 880\n",
       "Name: 100, dtype: object"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fe.iloc[5]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "Activity\n",
    "========\n",
    "* Find graduation rates for Asian students in cohorts with more than 5000 students \n",
    "* Find graduation rates for Hispanic students in the Bronx"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# How can we use all the data together?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [],
   "source": [
    "#Can use columns just like variables\n",
    "percent = df['Total Grads']/df['Total Cohort']\n",
    "percent.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Demographic</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Cohort</th>\n",
       "      <th>Total Cohort</th>\n",
       "      <th>Total Grads</th>\n",
       "      <th>Total Regents</th>\n",
       "      <th>Advanced Regents</th>\n",
       "      <th>Regents w/o Advanced</th>\n",
       "      <th>Local</th>\n",
       "      <th>Still Enrolled</th>\n",
       "      <th>Dropped Out</th>\n",
       "      <th>percent graduated</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Borough Total</td>\n",
       "      <td>Bronx</td>\n",
       "      <td>2001</td>\n",
       "      <td>11453</td>\n",
       "      <td>4913</td>\n",
       "      <td>2644</td>\n",
       "      <td>998</td>\n",
       "      <td>1646</td>\n",
       "      <td>2271</td>\n",
       "      <td>3512</td>\n",
       "      <td>2438</td>\n",
       "      <td>0.428971</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Borough Total</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>2001</td>\n",
       "      <td>19961</td>\n",
       "      <td>9758</td>\n",
       "      <td>6177</td>\n",
       "      <td>2829</td>\n",
       "      <td>3348</td>\n",
       "      <td>3591</td>\n",
       "      <td>6101</td>\n",
       "      <td>3547</td>\n",
       "      <td>0.488853</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Borough Total</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>2001</td>\n",
       "      <td>12670</td>\n",
       "      <td>7480</td>\n",
       "      <td>4963</td>\n",
       "      <td>1851</td>\n",
       "      <td>3112</td>\n",
       "      <td>2519</td>\n",
       "      <td>2829</td>\n",
       "      <td>1962</td>\n",
       "      <td>0.590371</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Borough Total</td>\n",
       "      <td>Queens</td>\n",
       "      <td>2001</td>\n",
       "      <td>17011</td>\n",
       "      <td>9180</td>\n",
       "      <td>6452</td>\n",
       "      <td>2694</td>\n",
       "      <td>3758</td>\n",
       "      <td>2738</td>\n",
       "      <td>4679</td>\n",
       "      <td>2696</td>\n",
       "      <td>0.539651</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Borough Total</td>\n",
       "      <td>Staten Island</td>\n",
       "      <td>2001</td>\n",
       "      <td>3872</td>\n",
       "      <td>2565</td>\n",
       "      <td>1901</td>\n",
       "      <td>876</td>\n",
       "      <td>1025</td>\n",
       "      <td>665</td>\n",
       "      <td>786</td>\n",
       "      <td>417</td>\n",
       "      <td>0.662448</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>English Language Learners</td>\n",
       "      <td>Bronx</td>\n",
       "      <td>2001</td>\n",
       "      <td>1984</td>\n",
       "      <td>388</td>\n",
       "      <td>78</td>\n",
       "      <td>10</td>\n",
       "      <td>68</td>\n",
       "      <td>311</td>\n",
       "      <td>799</td>\n",
       "      <td>592</td>\n",
       "      <td>0.195565</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>English Language Learners</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>2001</td>\n",
       "      <td>2543</td>\n",
       "      <td>691</td>\n",
       "      <td>268</td>\n",
       "      <td>116</td>\n",
       "      <td>152</td>\n",
       "      <td>424</td>\n",
       "      <td>1070</td>\n",
       "      <td>658</td>\n",
       "      <td>0.271726</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>English Language Learners</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>2001</td>\n",
       "      <td>1956</td>\n",
       "      <td>691</td>\n",
       "      <td>237</td>\n",
       "      <td>49</td>\n",
       "      <td>188</td>\n",
       "      <td>454</td>\n",
       "      <td>592</td>\n",
       "      <td>527</td>\n",
       "      <td>0.353272</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>English Language Learners</td>\n",
       "      <td>Queens</td>\n",
       "      <td>2001</td>\n",
       "      <td>2689</td>\n",
       "      <td>873</td>\n",
       "      <td>362</td>\n",
       "      <td>136</td>\n",
       "      <td>226</td>\n",
       "      <td>512</td>\n",
       "      <td>1023</td>\n",
       "      <td>673</td>\n",
       "      <td>0.324656</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>English Language Learners</td>\n",
       "      <td>Staten Island</td>\n",
       "      <td>2001</td>\n",
       "      <td>171</td>\n",
       "      <td>42</td>\n",
       "      <td>16</td>\n",
       "      <td>4</td>\n",
       "      <td>12</td>\n",
       "      <td>26</td>\n",
       "      <td>78</td>\n",
       "      <td>38</td>\n",
       "      <td>0.245614</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>English Proficient Students</td>\n",
       "      <td>Bronx</td>\n",
       "      <td>2001</td>\n",
       "      <td>9469</td>\n",
       "      <td>4525</td>\n",
       "      <td>2566</td>\n",
       "      <td>988</td>\n",
       "      <td>1578</td>\n",
       "      <td>1960</td>\n",
       "      <td>2713</td>\n",
       "      <td>1846</td>\n",
       "      <td>0.477875</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>English Proficient Students</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>2001</td>\n",
       "      <td>17418</td>\n",
       "      <td>9067</td>\n",
       "      <td>5909</td>\n",
       "      <td>2713</td>\n",
       "      <td>3196</td>\n",
       "      <td>3167</td>\n",
       "      <td>5031</td>\n",
       "      <td>2889</td>\n",
       "      <td>0.520553</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>English Proficient Students</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>2001</td>\n",
       "      <td>10714</td>\n",
       "      <td>6789</td>\n",
       "      <td>4726</td>\n",
       "      <td>1802</td>\n",
       "      <td>2924</td>\n",
       "      <td>2065</td>\n",
       "      <td>2237</td>\n",
       "      <td>1435</td>\n",
       "      <td>0.633657</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>English Proficient Students</td>\n",
       "      <td>Queens</td>\n",
       "      <td>2001</td>\n",
       "      <td>14322</td>\n",
       "      <td>8307</td>\n",
       "      <td>6090</td>\n",
       "      <td>2558</td>\n",
       "      <td>3532</td>\n",
       "      <td>2226</td>\n",
       "      <td>3656</td>\n",
       "      <td>2023</td>\n",
       "      <td>0.580017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>English Proficient Students</td>\n",
       "      <td>Staten Island</td>\n",
       "      <td>2001</td>\n",
       "      <td>3701</td>\n",
       "      <td>2523</td>\n",
       "      <td>1885</td>\n",
       "      <td>872</td>\n",
       "      <td>1013</td>\n",
       "      <td>639</td>\n",
       "      <td>708</td>\n",
       "      <td>379</td>\n",
       "      <td>0.681708</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Special Education</td>\n",
       "      <td>Bronx</td>\n",
       "      <td>2001</td>\n",
       "      <td>2259</td>\n",
       "      <td>309</td>\n",
       "      <td>40</td>\n",
       "      <td>6</td>\n",
       "      <td>34</td>\n",
       "      <td>271</td>\n",
       "      <td>561</td>\n",
       "      <td>866</td>\n",
       "      <td>0.136786</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Special Education</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>2001</td>\n",
       "      <td>2702</td>\n",
       "      <td>402</td>\n",
       "      <td>69</td>\n",
       "      <td>11</td>\n",
       "      <td>58</td>\n",
       "      <td>339</td>\n",
       "      <td>869</td>\n",
       "      <td>947</td>\n",
       "      <td>0.148779</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Special Education</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>2001</td>\n",
       "      <td>1586</td>\n",
       "      <td>292</td>\n",
       "      <td>58</td>\n",
       "      <td>5</td>\n",
       "      <td>53</td>\n",
       "      <td>235</td>\n",
       "      <td>407</td>\n",
       "      <td>553</td>\n",
       "      <td>0.184111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Special Education</td>\n",
       "      <td>Queens</td>\n",
       "      <td>2001</td>\n",
       "      <td>1999</td>\n",
       "      <td>419</td>\n",
       "      <td>63</td>\n",
       "      <td>14</td>\n",
       "      <td>49</td>\n",
       "      <td>359</td>\n",
       "      <td>559</td>\n",
       "      <td>643</td>\n",
       "      <td>0.209605</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Special Education</td>\n",
       "      <td>Staten Island</td>\n",
       "      <td>2001</td>\n",
       "      <td>622</td>\n",
       "      <td>184</td>\n",
       "      <td>26</td>\n",
       "      <td>2</td>\n",
       "      <td>24</td>\n",
       "      <td>158</td>\n",
       "      <td>184</td>\n",
       "      <td>160</td>\n",
       "      <td>0.295820</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>General Education</td>\n",
       "      <td>Bronx</td>\n",
       "      <td>2001</td>\n",
       "      <td>9194</td>\n",
       "      <td>4604</td>\n",
       "      <td>2604</td>\n",
       "      <td>992</td>\n",
       "      <td>1612</td>\n",
       "      <td>2000</td>\n",
       "      <td>2951</td>\n",
       "      <td>1572</td>\n",
       "      <td>0.500761</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>General Education</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>2001</td>\n",
       "      <td>17259</td>\n",
       "      <td>9356</td>\n",
       "      <td>6108</td>\n",
       "      <td>2818</td>\n",
       "      <td>3290</td>\n",
       "      <td>3252</td>\n",
       "      <td>5232</td>\n",
       "      <td>2600</td>\n",
       "      <td>0.542094</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>General Education</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>2001</td>\n",
       "      <td>11084</td>\n",
       "      <td>7188</td>\n",
       "      <td>4905</td>\n",
       "      <td>1846</td>\n",
       "      <td>3059</td>\n",
       "      <td>2284</td>\n",
       "      <td>2422</td>\n",
       "      <td>1409</td>\n",
       "      <td>0.648502</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>General Education</td>\n",
       "      <td>Queens</td>\n",
       "      <td>2001</td>\n",
       "      <td>15012</td>\n",
       "      <td>8761</td>\n",
       "      <td>6389</td>\n",
       "      <td>2680</td>\n",
       "      <td>3709</td>\n",
       "      <td>2379</td>\n",
       "      <td>4120</td>\n",
       "      <td>2053</td>\n",
       "      <td>0.583600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>General Education</td>\n",
       "      <td>Staten Island</td>\n",
       "      <td>2001</td>\n",
       "      <td>3250</td>\n",
       "      <td>2381</td>\n",
       "      <td>1875</td>\n",
       "      <td>874</td>\n",
       "      <td>1001</td>\n",
       "      <td>507</td>\n",
       "      <td>602</td>\n",
       "      <td>257</td>\n",
       "      <td>0.732615</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Asian</td>\n",
       "      <td>Bronx</td>\n",
       "      <td>2001</td>\n",
       "      <td>638</td>\n",
       "      <td>479</td>\n",
       "      <td>396</td>\n",
       "      <td>314</td>\n",
       "      <td>82</td>\n",
       "      <td>84</td>\n",
       "      <td>92</td>\n",
       "      <td>60</td>\n",
       "      <td>0.750784</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Asian</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>2001</td>\n",
       "      <td>2418</td>\n",
       "      <td>1543</td>\n",
       "      <td>1305</td>\n",
       "      <td>930</td>\n",
       "      <td>375</td>\n",
       "      <td>239</td>\n",
       "      <td>554</td>\n",
       "      <td>303</td>\n",
       "      <td>0.638131</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Asian</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>2001</td>\n",
       "      <td>1581</td>\n",
       "      <td>1265</td>\n",
       "      <td>1038</td>\n",
       "      <td>622</td>\n",
       "      <td>416</td>\n",
       "      <td>227</td>\n",
       "      <td>210</td>\n",
       "      <td>97</td>\n",
       "      <td>0.800127</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Asian</td>\n",
       "      <td>Queens</td>\n",
       "      <td>2001</td>\n",
       "      <td>4222</td>\n",
       "      <td>2836</td>\n",
       "      <td>2258</td>\n",
       "      <td>1273</td>\n",
       "      <td>985</td>\n",
       "      <td>580</td>\n",
       "      <td>885</td>\n",
       "      <td>452</td>\n",
       "      <td>0.671720</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Asian</td>\n",
       "      <td>Staten Island</td>\n",
       "      <td>2001</td>\n",
       "      <td>333</td>\n",
       "      <td>268</td>\n",
       "      <td>225</td>\n",
       "      <td>138</td>\n",
       "      <td>87</td>\n",
       "      <td>43</td>\n",
       "      <td>46</td>\n",
       "      <td>16</td>\n",
       "      <td>0.804805</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>300</th>\n",
       "      <td>Asian</td>\n",
       "      <td>Bronx</td>\n",
       "      <td>2006</td>\n",
       "      <td>830</td>\n",
       "      <td>707</td>\n",
       "      <td>666</td>\n",
       "      <td>491</td>\n",
       "      <td>175</td>\n",
       "      <td>41</td>\n",
       "      <td>78</td>\n",
       "      <td>34</td>\n",
       "      <td>0.851807</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>301</th>\n",
       "      <td>Asian</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>2006</td>\n",
       "      <td>2949</td>\n",
       "      <td>2296</td>\n",
       "      <td>2176</td>\n",
       "      <td>1437</td>\n",
       "      <td>739</td>\n",
       "      <td>120</td>\n",
       "      <td>432</td>\n",
       "      <td>190</td>\n",
       "      <td>0.778569</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>302</th>\n",
       "      <td>Asian</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>2006</td>\n",
       "      <td>2113</td>\n",
       "      <td>1739</td>\n",
       "      <td>1658</td>\n",
       "      <td>1119</td>\n",
       "      <td>539</td>\n",
       "      <td>81</td>\n",
       "      <td>238</td>\n",
       "      <td>115</td>\n",
       "      <td>0.823000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>303</th>\n",
       "      <td>Asian</td>\n",
       "      <td>Queens</td>\n",
       "      <td>2006</td>\n",
       "      <td>5035</td>\n",
       "      <td>3835</td>\n",
       "      <td>3472</td>\n",
       "      <td>1793</td>\n",
       "      <td>1679</td>\n",
       "      <td>363</td>\n",
       "      <td>784</td>\n",
       "      <td>352</td>\n",
       "      <td>0.761668</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>304</th>\n",
       "      <td>Asian</td>\n",
       "      <td>Staten Island</td>\n",
       "      <td>2006</td>\n",
       "      <td>439</td>\n",
       "      <td>392</td>\n",
       "      <td>365</td>\n",
       "      <td>243</td>\n",
       "      <td>122</td>\n",
       "      <td>27</td>\n",
       "      <td>22</td>\n",
       "      <td>17</td>\n",
       "      <td>0.892938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>305</th>\n",
       "      <td>Black</td>\n",
       "      <td>Bronx</td>\n",
       "      <td>2006</td>\n",
       "      <td>5161</td>\n",
       "      <td>2850</td>\n",
       "      <td>2089</td>\n",
       "      <td>269</td>\n",
       "      <td>1820</td>\n",
       "      <td>761</td>\n",
       "      <td>1258</td>\n",
       "      <td>771</td>\n",
       "      <td>0.552219</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>306</th>\n",
       "      <td>Black</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>2006</td>\n",
       "      <td>10886</td>\n",
       "      <td>6024</td>\n",
       "      <td>4424</td>\n",
       "      <td>870</td>\n",
       "      <td>3554</td>\n",
       "      <td>1600</td>\n",
       "      <td>3069</td>\n",
       "      <td>1320</td>\n",
       "      <td>0.553371</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>307</th>\n",
       "      <td>Black</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>2006</td>\n",
       "      <td>4655</td>\n",
       "      <td>2632</td>\n",
       "      <td>2088</td>\n",
       "      <td>342</td>\n",
       "      <td>1746</td>\n",
       "      <td>544</td>\n",
       "      <td>1280</td>\n",
       "      <td>502</td>\n",
       "      <td>0.565414</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>308</th>\n",
       "      <td>Black</td>\n",
       "      <td>Queens</td>\n",
       "      <td>2006</td>\n",
       "      <td>5139</td>\n",
       "      <td>2939</td>\n",
       "      <td>2202</td>\n",
       "      <td>405</td>\n",
       "      <td>1797</td>\n",
       "      <td>737</td>\n",
       "      <td>1308</td>\n",
       "      <td>689</td>\n",
       "      <td>0.571901</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>309</th>\n",
       "      <td>Black</td>\n",
       "      <td>Staten Island</td>\n",
       "      <td>2006</td>\n",
       "      <td>771</td>\n",
       "      <td>427</td>\n",
       "      <td>333</td>\n",
       "      <td>85</td>\n",
       "      <td>248</td>\n",
       "      <td>94</td>\n",
       "      <td>195</td>\n",
       "      <td>104</td>\n",
       "      <td>0.553826</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>310</th>\n",
       "      <td>Hispanic</td>\n",
       "      <td>Bronx</td>\n",
       "      <td>2006</td>\n",
       "      <td>8850</td>\n",
       "      <td>4469</td>\n",
       "      <td>3121</td>\n",
       "      <td>534</td>\n",
       "      <td>2587</td>\n",
       "      <td>1348</td>\n",
       "      <td>2360</td>\n",
       "      <td>1507</td>\n",
       "      <td>0.504972</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>311</th>\n",
       "      <td>Hispanic</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>2006</td>\n",
       "      <td>5327</td>\n",
       "      <td>2634</td>\n",
       "      <td>1976</td>\n",
       "      <td>461</td>\n",
       "      <td>1515</td>\n",
       "      <td>658</td>\n",
       "      <td>1582</td>\n",
       "      <td>903</td>\n",
       "      <td>0.494462</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>312</th>\n",
       "      <td>Hispanic</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>2006</td>\n",
       "      <td>7766</td>\n",
       "      <td>4478</td>\n",
       "      <td>3514</td>\n",
       "      <td>699</td>\n",
       "      <td>2815</td>\n",
       "      <td>964</td>\n",
       "      <td>1976</td>\n",
       "      <td>1009</td>\n",
       "      <td>0.576616</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>313</th>\n",
       "      <td>Hispanic</td>\n",
       "      <td>Queens</td>\n",
       "      <td>2006</td>\n",
       "      <td>6867</td>\n",
       "      <td>3879</td>\n",
       "      <td>3068</td>\n",
       "      <td>765</td>\n",
       "      <td>2303</td>\n",
       "      <td>811</td>\n",
       "      <td>1769</td>\n",
       "      <td>989</td>\n",
       "      <td>0.564875</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>314</th>\n",
       "      <td>Hispanic</td>\n",
       "      <td>Staten Island</td>\n",
       "      <td>2006</td>\n",
       "      <td>906</td>\n",
       "      <td>547</td>\n",
       "      <td>425</td>\n",
       "      <td>114</td>\n",
       "      <td>311</td>\n",
       "      <td>122</td>\n",
       "      <td>194</td>\n",
       "      <td>116</td>\n",
       "      <td>0.603753</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>315</th>\n",
       "      <td>White</td>\n",
       "      <td>Bronx</td>\n",
       "      <td>2006</td>\n",
       "      <td>636</td>\n",
       "      <td>444</td>\n",
       "      <td>396</td>\n",
       "      <td>254</td>\n",
       "      <td>142</td>\n",
       "      <td>48</td>\n",
       "      <td>99</td>\n",
       "      <td>77</td>\n",
       "      <td>0.698113</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>316</th>\n",
       "      <td>White</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>2006</td>\n",
       "      <td>2850</td>\n",
       "      <td>1997</td>\n",
       "      <td>1798</td>\n",
       "      <td>930</td>\n",
       "      <td>868</td>\n",
       "      <td>199</td>\n",
       "      <td>501</td>\n",
       "      <td>301</td>\n",
       "      <td>0.700702</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>317</th>\n",
       "      <td>White</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>2006</td>\n",
       "      <td>1743</td>\n",
       "      <td>1468</td>\n",
       "      <td>1380</td>\n",
       "      <td>603</td>\n",
       "      <td>777</td>\n",
       "      <td>88</td>\n",
       "      <td>197</td>\n",
       "      <td>48</td>\n",
       "      <td>0.842226</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>318</th>\n",
       "      <td>White</td>\n",
       "      <td>Queens</td>\n",
       "      <td>2006</td>\n",
       "      <td>2387</td>\n",
       "      <td>1736</td>\n",
       "      <td>1484</td>\n",
       "      <td>654</td>\n",
       "      <td>830</td>\n",
       "      <td>252</td>\n",
       "      <td>382</td>\n",
       "      <td>206</td>\n",
       "      <td>0.727273</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>319</th>\n",
       "      <td>White</td>\n",
       "      <td>Staten Island</td>\n",
       "      <td>2006</td>\n",
       "      <td>2461</td>\n",
       "      <td>1961</td>\n",
       "      <td>1678</td>\n",
       "      <td>746</td>\n",
       "      <td>932</td>\n",
       "      <td>283</td>\n",
       "      <td>268</td>\n",
       "      <td>174</td>\n",
       "      <td>0.796831</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>320</th>\n",
       "      <td>Female</td>\n",
       "      <td>Bronx</td>\n",
       "      <td>2006</td>\n",
       "      <td>7505</td>\n",
       "      <td>4455</td>\n",
       "      <td>3319</td>\n",
       "      <td>773</td>\n",
       "      <td>2546</td>\n",
       "      <td>1136</td>\n",
       "      <td>1683</td>\n",
       "      <td>1070</td>\n",
       "      <td>0.593604</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>321</th>\n",
       "      <td>Female</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>2006</td>\n",
       "      <td>10790</td>\n",
       "      <td>7034</td>\n",
       "      <td>5618</td>\n",
       "      <td>2048</td>\n",
       "      <td>3570</td>\n",
       "      <td>1416</td>\n",
       "      <td>2319</td>\n",
       "      <td>1163</td>\n",
       "      <td>0.651900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>322</th>\n",
       "      <td>Female</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>2006</td>\n",
       "      <td>8907</td>\n",
       "      <td>6214</td>\n",
       "      <td>5205</td>\n",
       "      <td>1593</td>\n",
       "      <td>3612</td>\n",
       "      <td>1009</td>\n",
       "      <td>1708</td>\n",
       "      <td>753</td>\n",
       "      <td>0.697654</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>323</th>\n",
       "      <td>Female</td>\n",
       "      <td>Queens</td>\n",
       "      <td>2006</td>\n",
       "      <td>9356</td>\n",
       "      <td>6578</td>\n",
       "      <td>5411</td>\n",
       "      <td>2065</td>\n",
       "      <td>3346</td>\n",
       "      <td>1167</td>\n",
       "      <td>1718</td>\n",
       "      <td>878</td>\n",
       "      <td>0.703078</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>324</th>\n",
       "      <td>Female</td>\n",
       "      <td>Staten Island</td>\n",
       "      <td>2006</td>\n",
       "      <td>2190</td>\n",
       "      <td>1665</td>\n",
       "      <td>1389</td>\n",
       "      <td>619</td>\n",
       "      <td>770</td>\n",
       "      <td>276</td>\n",
       "      <td>289</td>\n",
       "      <td>179</td>\n",
       "      <td>0.760274</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>325</th>\n",
       "      <td>Male</td>\n",
       "      <td>Bronx</td>\n",
       "      <td>2006</td>\n",
       "      <td>8074</td>\n",
       "      <td>4069</td>\n",
       "      <td>2993</td>\n",
       "      <td>785</td>\n",
       "      <td>2208</td>\n",
       "      <td>1076</td>\n",
       "      <td>2141</td>\n",
       "      <td>1332</td>\n",
       "      <td>0.503963</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>326</th>\n",
       "      <td>Male</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>2006</td>\n",
       "      <td>11387</td>\n",
       "      <td>6006</td>\n",
       "      <td>4822</td>\n",
       "      <td>1669</td>\n",
       "      <td>3153</td>\n",
       "      <td>1184</td>\n",
       "      <td>3317</td>\n",
       "      <td>1568</td>\n",
       "      <td>0.527444</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>327</th>\n",
       "      <td>Male</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>2006</td>\n",
       "      <td>7509</td>\n",
       "      <td>4197</td>\n",
       "      <td>3510</td>\n",
       "      <td>1188</td>\n",
       "      <td>2322</td>\n",
       "      <td>687</td>\n",
       "      <td>2011</td>\n",
       "      <td>931</td>\n",
       "      <td>0.558929</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>328</th>\n",
       "      <td>Male</td>\n",
       "      <td>Queens</td>\n",
       "      <td>2006</td>\n",
       "      <td>10202</td>\n",
       "      <td>5887</td>\n",
       "      <td>4874</td>\n",
       "      <td>1572</td>\n",
       "      <td>3302</td>\n",
       "      <td>1013</td>\n",
       "      <td>2554</td>\n",
       "      <td>1378</td>\n",
       "      <td>0.577044</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>329</th>\n",
       "      <td>Male</td>\n",
       "      <td>Staten Island</td>\n",
       "      <td>2006</td>\n",
       "      <td>2413</td>\n",
       "      <td>1681</td>\n",
       "      <td>1429</td>\n",
       "      <td>573</td>\n",
       "      <td>856</td>\n",
       "      <td>252</td>\n",
       "      <td>394</td>\n",
       "      <td>235</td>\n",
       "      <td>0.696643</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>330 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                     Demographic        Borough  Cohort  Total Cohort  \\\n",
       "0                  Borough Total          Bronx    2001         11453   \n",
       "1                  Borough Total       Brooklyn    2001         19961   \n",
       "2                  Borough Total      Manhattan    2001         12670   \n",
       "3                  Borough Total         Queens    2001         17011   \n",
       "4                  Borough Total  Staten Island    2001          3872   \n",
       "5      English Language Learners          Bronx    2001          1984   \n",
       "6      English Language Learners       Brooklyn    2001          2543   \n",
       "7      English Language Learners      Manhattan    2001          1956   \n",
       "8      English Language Learners         Queens    2001          2689   \n",
       "9      English Language Learners  Staten Island    2001           171   \n",
       "10   English Proficient Students          Bronx    2001          9469   \n",
       "11   English Proficient Students       Brooklyn    2001         17418   \n",
       "12   English Proficient Students      Manhattan    2001         10714   \n",
       "13   English Proficient Students         Queens    2001         14322   \n",
       "14   English Proficient Students  Staten Island    2001          3701   \n",
       "15             Special Education          Bronx    2001          2259   \n",
       "16             Special Education       Brooklyn    2001          2702   \n",
       "17             Special Education      Manhattan    2001          1586   \n",
       "18             Special Education         Queens    2001          1999   \n",
       "19             Special Education  Staten Island    2001           622   \n",
       "20             General Education          Bronx    2001          9194   \n",
       "21             General Education       Brooklyn    2001         17259   \n",
       "22             General Education      Manhattan    2001         11084   \n",
       "23             General Education         Queens    2001         15012   \n",
       "24             General Education  Staten Island    2001          3250   \n",
       "25                         Asian          Bronx    2001           638   \n",
       "26                         Asian       Brooklyn    2001          2418   \n",
       "27                         Asian      Manhattan    2001          1581   \n",
       "28                         Asian         Queens    2001          4222   \n",
       "29                         Asian  Staten Island    2001           333   \n",
       "..                           ...            ...     ...           ...   \n",
       "300                        Asian          Bronx    2006           830   \n",
       "301                        Asian       Brooklyn    2006          2949   \n",
       "302                        Asian      Manhattan    2006          2113   \n",
       "303                        Asian         Queens    2006          5035   \n",
       "304                        Asian  Staten Island    2006           439   \n",
       "305                        Black          Bronx    2006          5161   \n",
       "306                        Black       Brooklyn    2006         10886   \n",
       "307                        Black      Manhattan    2006          4655   \n",
       "308                        Black         Queens    2006          5139   \n",
       "309                        Black  Staten Island    2006           771   \n",
       "310                     Hispanic          Bronx    2006          8850   \n",
       "311                     Hispanic       Brooklyn    2006          5327   \n",
       "312                     Hispanic      Manhattan    2006          7766   \n",
       "313                     Hispanic         Queens    2006          6867   \n",
       "314                     Hispanic  Staten Island    2006           906   \n",
       "315                        White          Bronx    2006           636   \n",
       "316                        White       Brooklyn    2006          2850   \n",
       "317                        White      Manhattan    2006          1743   \n",
       "318                        White         Queens    2006          2387   \n",
       "319                        White  Staten Island    2006          2461   \n",
       "320                       Female          Bronx    2006          7505   \n",
       "321                       Female       Brooklyn    2006         10790   \n",
       "322                       Female      Manhattan    2006          8907   \n",
       "323                       Female         Queens    2006          9356   \n",
       "324                       Female  Staten Island    2006          2190   \n",
       "325                         Male          Bronx    2006          8074   \n",
       "326                         Male       Brooklyn    2006         11387   \n",
       "327                         Male      Manhattan    2006          7509   \n",
       "328                         Male         Queens    2006         10202   \n",
       "329                         Male  Staten Island    2006          2413   \n",
       "\n",
       "     Total Grads  Total Regents  Advanced Regents  Regents w/o Advanced   \\\n",
       "0           4913           2644               998                   1646   \n",
       "1           9758           6177              2829                   3348   \n",
       "2           7480           4963              1851                   3112   \n",
       "3           9180           6452              2694                   3758   \n",
       "4           2565           1901               876                   1025   \n",
       "5            388             78                10                     68   \n",
       "6            691            268               116                    152   \n",
       "7            691            237                49                    188   \n",
       "8            873            362               136                    226   \n",
       "9             42             16                 4                     12   \n",
       "10          4525           2566               988                   1578   \n",
       "11          9067           5909              2713                   3196   \n",
       "12          6789           4726              1802                   2924   \n",
       "13          8307           6090              2558                   3532   \n",
       "14          2523           1885               872                   1013   \n",
       "15           309             40                 6                     34   \n",
       "16           402             69                11                     58   \n",
       "17           292             58                 5                     53   \n",
       "18           419             63                14                     49   \n",
       "19           184             26                 2                     24   \n",
       "20          4604           2604               992                   1612   \n",
       "21          9356           6108              2818                   3290   \n",
       "22          7188           4905              1846                   3059   \n",
       "23          8761           6389              2680                   3709   \n",
       "24          2381           1875               874                   1001   \n",
       "25           479            396               314                     82   \n",
       "26          1543           1305               930                    375   \n",
       "27          1265           1038               622                    416   \n",
       "28          2836           2258              1273                    985   \n",
       "29           268            225               138                     87   \n",
       "..           ...            ...               ...                    ...   \n",
       "300          707            666               491                    175   \n",
       "301         2296           2176              1437                    739   \n",
       "302         1739           1658              1119                    539   \n",
       "303         3835           3472              1793                   1679   \n",
       "304          392            365               243                    122   \n",
       "305         2850           2089               269                   1820   \n",
       "306         6024           4424               870                   3554   \n",
       "307         2632           2088               342                   1746   \n",
       "308         2939           2202               405                   1797   \n",
       "309          427            333                85                    248   \n",
       "310         4469           3121               534                   2587   \n",
       "311         2634           1976               461                   1515   \n",
       "312         4478           3514               699                   2815   \n",
       "313         3879           3068               765                   2303   \n",
       "314          547            425               114                    311   \n",
       "315          444            396               254                    142   \n",
       "316         1997           1798               930                    868   \n",
       "317         1468           1380               603                    777   \n",
       "318         1736           1484               654                    830   \n",
       "319         1961           1678               746                    932   \n",
       "320         4455           3319               773                   2546   \n",
       "321         7034           5618              2048                   3570   \n",
       "322         6214           5205              1593                   3612   \n",
       "323         6578           5411              2065                   3346   \n",
       "324         1665           1389               619                    770   \n",
       "325         4069           2993               785                   2208   \n",
       "326         6006           4822              1669                   3153   \n",
       "327         4197           3510              1188                   2322   \n",
       "328         5887           4874              1572                   3302   \n",
       "329         1681           1429               573                    856   \n",
       "\n",
       "     Local  Still Enrolled  Dropped Out  percent graduated  \n",
       "0     2271            3512         2438           0.428971  \n",
       "1     3591            6101         3547           0.488853  \n",
       "2     2519            2829         1962           0.590371  \n",
       "3     2738            4679         2696           0.539651  \n",
       "4      665             786          417           0.662448  \n",
       "5      311             799          592           0.195565  \n",
       "6      424            1070          658           0.271726  \n",
       "7      454             592          527           0.353272  \n",
       "8      512            1023          673           0.324656  \n",
       "9       26              78           38           0.245614  \n",
       "10    1960            2713         1846           0.477875  \n",
       "11    3167            5031         2889           0.520553  \n",
       "12    2065            2237         1435           0.633657  \n",
       "13    2226            3656         2023           0.580017  \n",
       "14     639             708          379           0.681708  \n",
       "15     271             561          866           0.136786  \n",
       "16     339             869          947           0.148779  \n",
       "17     235             407          553           0.184111  \n",
       "18     359             559          643           0.209605  \n",
       "19     158             184          160           0.295820  \n",
       "20    2000            2951         1572           0.500761  \n",
       "21    3252            5232         2600           0.542094  \n",
       "22    2284            2422         1409           0.648502  \n",
       "23    2379            4120         2053           0.583600  \n",
       "24     507             602          257           0.732615  \n",
       "25      84              92           60           0.750784  \n",
       "26     239             554          303           0.638131  \n",
       "27     227             210           97           0.800127  \n",
       "28     580             885          452           0.671720  \n",
       "29      43              46           16           0.804805  \n",
       "..     ...             ...          ...                ...  \n",
       "300     41              78           34           0.851807  \n",
       "301    120             432          190           0.778569  \n",
       "302     81             238          115           0.823000  \n",
       "303    363             784          352           0.761668  \n",
       "304     27              22           17           0.892938  \n",
       "305    761            1258          771           0.552219  \n",
       "306   1600            3069         1320           0.553371  \n",
       "307    544            1280          502           0.565414  \n",
       "308    737            1308          689           0.571901  \n",
       "309     94             195          104           0.553826  \n",
       "310   1348            2360         1507           0.504972  \n",
       "311    658            1582          903           0.494462  \n",
       "312    964            1976         1009           0.576616  \n",
       "313    811            1769          989           0.564875  \n",
       "314    122             194          116           0.603753  \n",
       "315     48              99           77           0.698113  \n",
       "316    199             501          301           0.700702  \n",
       "317     88             197           48           0.842226  \n",
       "318    252             382          206           0.727273  \n",
       "319    283             268          174           0.796831  \n",
       "320   1136            1683         1070           0.593604  \n",
       "321   1416            2319         1163           0.651900  \n",
       "322   1009            1708          753           0.697654  \n",
       "323   1167            1718          878           0.703078  \n",
       "324    276             289          179           0.760274  \n",
       "325   1076            2141         1332           0.503963  \n",
       "326   1184            3317         1568           0.527444  \n",
       "327    687            2011          931           0.558929  \n",
       "328   1013            2554         1378           0.577044  \n",
       "329    252             394          235           0.696643  \n",
       "\n",
       "[330 rows x 12 columns]"
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#make new column\n",
    "df[\"percent graduated\"]=df['Total Grads']/df['Total Cohort']\n",
    "df.to_csv(\"my_csv.csv\")\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [],
   "source": [
    "#What about more complicated computations?\n",
    "def GSI(indicators):\n",
    "    cohort, grad, enrolled, dropped = indicators\n",
    "    \"Graduation Success Index\"\n",
    "    return (grad*3 - enrolled - dropped*2)/cohort\n",
    "        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total Cohort      11453\n",
      "Total Grads        4913\n",
      "Still Enrolled     3512\n",
      "Total Grads        4913\n",
      "Name: 0, dtype: int64\n",
      "0.122326028115\n"
     ]
    }
   ],
   "source": [
    "#apply it to the data?\n",
    "first = df[['Total Cohort', 'Total Grads', 'Still Enrolled', 'Total Grads']].iloc[0]\n",
    "print (first)\n",
    "print(GSI(first))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# How do we apply to the whole data set?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [],
   "source": [
    "#axis = 0 says apply to rows\n",
    "#axis = 1 means apply to columns\n",
    "#goes one row (1) or column (0) at a time\n",
    "tcol = ['Total Cohort', 'Total Grads', 'Still Enrolled', 'Total Grads']\n",
    "gsi = df[tcol][bar_tot].apply(GSI, axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#test if our indicator correlates to anything\n",
    "%matplotlib inline\n",
    "df.plot(kind=\"scatter\", x=\"Total Cohort\", y=\"GSI\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [],
   "source": [
    "#lets add GSI into the dataframe\n",
    "df['GSI'] = gsi\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "Activity\n",
    "=========\n",
    "* Create a regents indicator: \n",
    "    `(Advanced Regents*3+ Regents w/o*2 + Local) / Total Regents`\n",
    "* Create a function that computes a regents indicator \n",
    "* Apply the function to the dataframe \n",
    "* Create a new column RSI that stores the index for each row"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# BREAK"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# How can we start summarizing data?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [],
   "source": [
    "#groupby is for one function\n",
    "demo = df.groupby(\"Borough\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Cohort</th>\n",
       "      <th>Total Cohort</th>\n",
       "      <th>Total Grads</th>\n",
       "      <th>Total Regents</th>\n",
       "      <th>Advanced Regents</th>\n",
       "      <th>Regents w/o Advanced</th>\n",
       "      <th>Local</th>\n",
       "      <th>Still Enrolled</th>\n",
       "      <th>Dropped Out</th>\n",
       "      <th>percent graduated</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Borough</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Bronx</th>\n",
       "      <td>2003.5</td>\n",
       "      <td>6221.015152</td>\n",
       "      <td>3088.378788</td>\n",
       "      <td>1979.939394</td>\n",
       "      <td>585.590909</td>\n",
       "      <td>1394.348485</td>\n",
       "      <td>1109.121212</td>\n",
       "      <td>1796.893939</td>\n",
       "      <td>1052.060606</td>\n",
       "      <td>0.494829</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brooklyn</th>\n",
       "      <td>2003.5</td>\n",
       "      <td>9757.924242</td>\n",
       "      <td>5228.772727</td>\n",
       "      <td>3763.287879</td>\n",
       "      <td>1514.045455</td>\n",
       "      <td>2249.242424</td>\n",
       "      <td>1467.075758</td>\n",
       "      <td>2835.727273</td>\n",
       "      <td>1392.318182</td>\n",
       "      <td>0.504551</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Manhattan</th>\n",
       "      <td>2003.5</td>\n",
       "      <td>6612.833333</td>\n",
       "      <td>3922.484848</td>\n",
       "      <td>2931.242424</td>\n",
       "      <td>1098.590909</td>\n",
       "      <td>1832.651515</td>\n",
       "      <td>992.075758</td>\n",
       "      <td>1699.893939</td>\n",
       "      <td>799.075758</td>\n",
       "      <td>0.570101</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Queens</th>\n",
       "      <td>2003.5</td>\n",
       "      <td>8434.242424</td>\n",
       "      <td>4899.257576</td>\n",
       "      <td>3756.363636</td>\n",
       "      <td>1497.545455</td>\n",
       "      <td>2258.818182</td>\n",
       "      <td>1144.030303</td>\n",
       "      <td>2134.969697</td>\n",
       "      <td>1166.636364</td>\n",
       "      <td>0.541110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Staten Island</th>\n",
       "      <td>2003.5</td>\n",
       "      <td>1925.015152</td>\n",
       "      <td>1312.151515</td>\n",
       "      <td>1030.909091</td>\n",
       "      <td>446.818182</td>\n",
       "      <td>584.090909</td>\n",
       "      <td>281.469697</td>\n",
       "      <td>365.757576</td>\n",
       "      <td>179.651515</td>\n",
       "      <td>0.615998</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               Cohort  Total Cohort  Total Grads  Total Regents  \\\n",
       "Borough                                                           \n",
       "Bronx          2003.5   6221.015152  3088.378788    1979.939394   \n",
       "Brooklyn       2003.5   9757.924242  5228.772727    3763.287879   \n",
       "Manhattan      2003.5   6612.833333  3922.484848    2931.242424   \n",
       "Queens         2003.5   8434.242424  4899.257576    3756.363636   \n",
       "Staten Island  2003.5   1925.015152  1312.151515    1030.909091   \n",
       "\n",
       "               Advanced Regents  Regents w/o Advanced         Local  \\\n",
       "Borough                                                               \n",
       "Bronx                585.590909            1394.348485  1109.121212   \n",
       "Brooklyn            1514.045455            2249.242424  1467.075758   \n",
       "Manhattan           1098.590909            1832.651515   992.075758   \n",
       "Queens              1497.545455            2258.818182  1144.030303   \n",
       "Staten Island        446.818182             584.090909   281.469697   \n",
       "\n",
       "               Still Enrolled  Dropped Out  percent graduated  \n",
       "Borough                                                        \n",
       "Bronx             1796.893939  1052.060606           0.494829  \n",
       "Brooklyn          2835.727273  1392.318182           0.504551  \n",
       "Manhattan         1699.893939   799.075758           0.570101  \n",
       "Queens            2134.969697  1166.636364           0.541110  \n",
       "Staten Island      365.757576   179.651515           0.615998  "
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#can use any function\n",
    "demo.mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Cohort</th>\n",
       "      <th>Total Cohort</th>\n",
       "      <th>Total Grads</th>\n",
       "      <th>Total Regents</th>\n",
       "      <th>Advanced Regents</th>\n",
       "      <th>Regents w/o Advanced</th>\n",
       "      <th>Local</th>\n",
       "      <th>Still Enrolled</th>\n",
       "      <th>Dropped Out</th>\n",
       "      <th>percent graduated</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Borough</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Bronx</th>\n",
       "      <td>1.720912</td>\n",
       "      <td>4526.338046</td>\n",
       "      <td>2523.854993</td>\n",
       "      <td>1761.825800</td>\n",
       "      <td>490.913810</td>\n",
       "      <td>1303.192630</td>\n",
       "      <td>832.204940</td>\n",
       "      <td>1256.471398</td>\n",
       "      <td>716.212020</td>\n",
       "      <td>0.169274</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brooklyn</th>\n",
       "      <td>1.720912</td>\n",
       "      <td>7036.656154</td>\n",
       "      <td>4111.862718</td>\n",
       "      <td>3093.109239</td>\n",
       "      <td>1230.571505</td>\n",
       "      <td>1919.091003</td>\n",
       "      <td>1128.226427</td>\n",
       "      <td>1993.077316</td>\n",
       "      <td>925.927180</td>\n",
       "      <td>0.150799</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Manhattan</th>\n",
       "      <td>1.720912</td>\n",
       "      <td>4790.997714</td>\n",
       "      <td>3076.051671</td>\n",
       "      <td>2424.399663</td>\n",
       "      <td>910.866603</td>\n",
       "      <td>1577.598599</td>\n",
       "      <td>745.774235</td>\n",
       "      <td>1203.960901</td>\n",
       "      <td>532.509828</td>\n",
       "      <td>0.170288</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Queens</th>\n",
       "      <td>1.720912</td>\n",
       "      <td>5904.293739</td>\n",
       "      <td>3748.398859</td>\n",
       "      <td>3016.585052</td>\n",
       "      <td>1237.529377</td>\n",
       "      <td>1818.723355</td>\n",
       "      <td>792.481652</td>\n",
       "      <td>1417.357964</td>\n",
       "      <td>756.371574</td>\n",
       "      <td>0.145544</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Staten Island</th>\n",
       "      <td>1.720912</td>\n",
       "      <td>1456.268070</td>\n",
       "      <td>1078.456935</td>\n",
       "      <td>887.859773</td>\n",
       "      <td>396.749016</td>\n",
       "      <td>495.048086</td>\n",
       "      <td>206.282795</td>\n",
       "      <td>249.175073</td>\n",
       "      <td>121.177491</td>\n",
       "      <td>0.172133</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 Cohort  Total Cohort  Total Grads  Total Regents  \\\n",
       "Borough                                                             \n",
       "Bronx          1.720912   4526.338046  2523.854993    1761.825800   \n",
       "Brooklyn       1.720912   7036.656154  4111.862718    3093.109239   \n",
       "Manhattan      1.720912   4790.997714  3076.051671    2424.399663   \n",
       "Queens         1.720912   5904.293739  3748.398859    3016.585052   \n",
       "Staten Island  1.720912   1456.268070  1078.456935     887.859773   \n",
       "\n",
       "               Advanced Regents  Regents w/o Advanced         Local  \\\n",
       "Borough                                                               \n",
       "Bronx                490.913810            1303.192630   832.204940   \n",
       "Brooklyn            1230.571505            1919.091003  1128.226427   \n",
       "Manhattan            910.866603            1577.598599   745.774235   \n",
       "Queens              1237.529377            1818.723355   792.481652   \n",
       "Staten Island        396.749016             495.048086   206.282795   \n",
       "\n",
       "               Still Enrolled  Dropped Out  percent graduated  \n",
       "Borough                                                        \n",
       "Bronx             1256.471398   716.212020           0.169274  \n",
       "Brooklyn          1993.077316   925.927180           0.150799  \n",
       "Manhattan         1203.960901   532.509828           0.170288  \n",
       "Queens            1417.357964   756.371574           0.145544  \n",
       "Staten Island      249.175073   121.177491           0.172133  "
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "demo.std()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [],
   "source": [
    "#can group by two catagories:\n",
    "bt = df.groupby([\"Demographic\", \"Borough\"]).mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [],
   "source": [
    "#sometimes looks better flipped\n",
    "#transpose filp rows and cols\n",
    "bt.T\n",
    "bt.T.to_csv(\"tocsv.csv\")\n",
    "bt.T.to_csv(\"orgiganl_filename\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>Total Cohort</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Demographic</th>\n",
       "      <th>Borough</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">Asian</th>\n",
       "      <th>Bronx</th>\n",
       "      <td>720.333333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brooklyn</th>\n",
       "      <td>2762.166667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Manhattan</th>\n",
       "      <td>1873.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Queens</th>\n",
       "      <td>4714.833333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Staten Island</th>\n",
       "      <td>366.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">Black</th>\n",
       "      <th>Bronx</th>\n",
       "      <td>4572.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brooklyn</th>\n",
       "      <td>10429.166667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Manhattan</th>\n",
       "      <td>4157.833333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Queens</th>\n",
       "      <td>4963.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Staten Island</th>\n",
       "      <td>714.833333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">Borough Total</th>\n",
       "      <th>Bronx</th>\n",
       "      <td>13705.833333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brooklyn</th>\n",
       "      <td>21494.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Manhattan</th>\n",
       "      <td>14566.333333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Queens</th>\n",
       "      <td>18580.333333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Staten Island</th>\n",
       "      <td>4238.166667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">English Language Learners</th>\n",
       "      <th>Bronx</th>\n",
       "      <td>1926.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brooklyn</th>\n",
       "      <td>2133.333333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Manhattan</th>\n",
       "      <td>1809.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Queens</th>\n",
       "      <td>2390.166667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Staten Island</th>\n",
       "      <td>169.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">English Proficient Students</th>\n",
       "      <th>Bronx</th>\n",
       "      <td>11779.333333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brooklyn</th>\n",
       "      <td>19360.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Manhattan</th>\n",
       "      <td>12757.333333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Queens</th>\n",
       "      <td>16190.166667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Staten Island</th>\n",
       "      <td>4068.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">Female</th>\n",
       "      <th>Bronx</th>\n",
       "      <td>6655.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brooklyn</th>\n",
       "      <td>10538.833333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Manhattan</th>\n",
       "      <td>7834.166667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Queens</th>\n",
       "      <td>8988.333333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Staten Island</th>\n",
       "      <td>2066.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">General Education</th>\n",
       "      <th>Bronx</th>\n",
       "      <td>11361.166667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brooklyn</th>\n",
       "      <td>18671.166667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Manhattan</th>\n",
       "      <td>12869.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Queens</th>\n",
       "      <td>16587.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Staten Island</th>\n",
       "      <td>3571.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">Hispanic</th>\n",
       "      <th>Bronx</th>\n",
       "      <td>7638.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brooklyn</th>\n",
       "      <td>4945.333333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Manhattan</th>\n",
       "      <td>6822.333333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Queens</th>\n",
       "      <td>6215.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Staten Island</th>\n",
       "      <td>790.833333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">Male</th>\n",
       "      <th>Bronx</th>\n",
       "      <td>7050.333333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brooklyn</th>\n",
       "      <td>10955.166667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Manhattan</th>\n",
       "      <td>6732.166667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Queens</th>\n",
       "      <td>9592.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Staten Island</th>\n",
       "      <td>2171.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">Special Education</th>\n",
       "      <th>Bronx</th>\n",
       "      <td>2344.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brooklyn</th>\n",
       "      <td>2822.833333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Manhattan</th>\n",
       "      <td>1696.833333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Queens</th>\n",
       "      <td>1992.833333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Staten Island</th>\n",
       "      <td>666.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">White</th>\n",
       "      <th>Bronx</th>\n",
       "      <td>677.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brooklyn</th>\n",
       "      <td>3224.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Manhattan</th>\n",
       "      <td>1622.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Queens</th>\n",
       "      <td>2561.833333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Staten Island</th>\n",
       "      <td>2350.166667</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                           Total Cohort\n",
       "Demographic                 Borough                    \n",
       "Asian                       Bronx            720.333333\n",
       "                            Brooklyn        2762.166667\n",
       "                            Manhattan       1873.000000\n",
       "                            Queens          4714.833333\n",
       "                            Staten Island    366.666667\n",
       "Black                       Bronx           4572.000000\n",
       "                            Brooklyn       10429.166667\n",
       "                            Manhattan       4157.833333\n",
       "                            Queens          4963.666667\n",
       "                            Staten Island    714.833333\n",
       "Borough Total               Bronx          13705.833333\n",
       "                            Brooklyn       21494.000000\n",
       "                            Manhattan      14566.333333\n",
       "                            Queens         18580.333333\n",
       "                            Staten Island   4238.166667\n",
       "English Language Learners   Bronx           1926.500000\n",
       "                            Brooklyn        2133.333333\n",
       "                            Manhattan       1809.000000\n",
       "                            Queens          2390.166667\n",
       "                            Staten Island    169.666667\n",
       "English Proficient Students Bronx          11779.333333\n",
       "                            Brooklyn       19360.666667\n",
       "                            Manhattan      12757.333333\n",
       "                            Queens         16190.166667\n",
       "                            Staten Island   4068.500000\n",
       "Female                      Bronx           6655.500000\n",
       "                            Brooklyn       10538.833333\n",
       "                            Manhattan       7834.166667\n",
       "                            Queens          8988.333333\n",
       "                            Staten Island   2066.500000\n",
       "General Education           Bronx          11361.166667\n",
       "                            Brooklyn       18671.166667\n",
       "                            Manhattan      12869.500000\n",
       "                            Queens         16587.500000\n",
       "                            Staten Island   3571.500000\n",
       "Hispanic                    Bronx           7638.500000\n",
       "                            Brooklyn        4945.333333\n",
       "                            Manhattan       6822.333333\n",
       "                            Queens          6215.000000\n",
       "                            Staten Island    790.833333\n",
       "Male                        Bronx           7050.333333\n",
       "                            Brooklyn       10955.166667\n",
       "                            Manhattan       6732.166667\n",
       "                            Queens          9592.000000\n",
       "                            Staten Island   2171.666667\n",
       "Special Education           Bronx           2344.666667\n",
       "                            Brooklyn        2822.833333\n",
       "                            Manhattan       1696.833333\n",
       "                            Queens          1992.833333\n",
       "                            Staten Island    666.666667\n",
       "White                       Bronx            677.000000\n",
       "                            Brooklyn        3224.500000\n",
       "                            Manhattan       1622.666667\n",
       "                            Queens          2561.833333\n",
       "                            Staten Island   2350.166667"
      ]
     },
     "execution_count": 102,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#can filter on cols\n",
    "bt[[\"Total Cohort\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>Cohort</th>\n",
       "      <th>Total Cohort</th>\n",
       "      <th>Total Grads</th>\n",
       "      <th>Total Regents</th>\n",
       "      <th>Advanced Regents</th>\n",
       "      <th>Regents w/o Advanced</th>\n",
       "      <th>Local</th>\n",
       "      <th>Still Enrolled</th>\n",
       "      <th>Dropped Out</th>\n",
       "      <th>percent graduated</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Borough</th>\n",
       "      <th>Demographic</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Bronx</th>\n",
       "      <th>Female</th>\n",
       "      <td>2003.5</td>\n",
       "      <td>6655.500000</td>\n",
       "      <td>3684.666667</td>\n",
       "      <td>2337.166667</td>\n",
       "      <td>659.166667</td>\n",
       "      <td>1678.000000</td>\n",
       "      <td>1348.666667</td>\n",
       "      <td>1756.000000</td>\n",
       "      <td>979.333333</td>\n",
       "      <td>0.548805</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Male</th>\n",
       "      <td>2003.5</td>\n",
       "      <td>7050.333333</td>\n",
       "      <td>3120.500000</td>\n",
       "      <td>2025.833333</td>\n",
       "      <td>631.166667</td>\n",
       "      <td>1394.666667</td>\n",
       "      <td>1095.000000</td>\n",
       "      <td>2202.833333</td>\n",
       "      <td>1337.666667</td>\n",
       "      <td>0.437203</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Brooklyn</th>\n",
       "      <th>Female</th>\n",
       "      <td>2003.5</td>\n",
       "      <td>10538.833333</td>\n",
       "      <td>6353.166667</td>\n",
       "      <td>4548.333333</td>\n",
       "      <td>1826.666667</td>\n",
       "      <td>2721.666667</td>\n",
       "      <td>1806.166667</td>\n",
       "      <td>2670.000000</td>\n",
       "      <td>1253.833333</td>\n",
       "      <td>0.601697</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Male</th>\n",
       "      <td>2003.5</td>\n",
       "      <td>10955.166667</td>\n",
       "      <td>5164.333333</td>\n",
       "      <td>3741.333333</td>\n",
       "      <td>1508.166667</td>\n",
       "      <td>2233.166667</td>\n",
       "      <td>1425.166667</td>\n",
       "      <td>3577.166667</td>\n",
       "      <td>1812.166667</td>\n",
       "      <td>0.469829</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Manhattan</th>\n",
       "      <th>Female</th>\n",
       "      <td>2003.5</td>\n",
       "      <td>7834.166667</td>\n",
       "      <td>5146.833333</td>\n",
       "      <td>3841.833333</td>\n",
       "      <td>1379.500000</td>\n",
       "      <td>2462.333333</td>\n",
       "      <td>1306.333333</td>\n",
       "      <td>1736.166667</td>\n",
       "      <td>779.333333</td>\n",
       "      <td>0.655394</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Male</th>\n",
       "      <td>2003.5</td>\n",
       "      <td>6732.166667</td>\n",
       "      <td>3494.166667</td>\n",
       "      <td>2615.833333</td>\n",
       "      <td>1039.666667</td>\n",
       "      <td>1576.166667</td>\n",
       "      <td>878.833333</td>\n",
       "      <td>2008.166667</td>\n",
       "      <td>980.166667</td>\n",
       "      <td>0.517051</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Queens</th>\n",
       "      <th>Female</th>\n",
       "      <td>2003.5</td>\n",
       "      <td>8988.333333</td>\n",
       "      <td>5863.000000</td>\n",
       "      <td>4482.500000</td>\n",
       "      <td>1860.333333</td>\n",
       "      <td>2622.166667</td>\n",
       "      <td>1382.500000</td>\n",
       "      <td>1923.666667</td>\n",
       "      <td>1009.166667</td>\n",
       "      <td>0.651271</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Male</th>\n",
       "      <td>2003.5</td>\n",
       "      <td>9592.000000</td>\n",
       "      <td>4929.333333</td>\n",
       "      <td>3791.500000</td>\n",
       "      <td>1437.166667</td>\n",
       "      <td>2354.333333</td>\n",
       "      <td>1138.333333</td>\n",
       "      <td>2779.166667</td>\n",
       "      <td>1561.833333</td>\n",
       "      <td>0.511971</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Staten Island</th>\n",
       "      <th>Female</th>\n",
       "      <td>2003.5</td>\n",
       "      <td>2066.500000</td>\n",
       "      <td>1504.000000</td>\n",
       "      <td>1182.833333</td>\n",
       "      <td>524.833333</td>\n",
       "      <td>658.000000</td>\n",
       "      <td>321.500000</td>\n",
       "      <td>332.833333</td>\n",
       "      <td>165.000000</td>\n",
       "      <td>0.727245</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Male</th>\n",
       "      <td>2003.5</td>\n",
       "      <td>2171.666667</td>\n",
       "      <td>1384.333333</td>\n",
       "      <td>1086.333333</td>\n",
       "      <td>458.500000</td>\n",
       "      <td>627.833333</td>\n",
       "      <td>298.166667</td>\n",
       "      <td>472.833333</td>\n",
       "      <td>230.666667</td>\n",
       "      <td>0.635749</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                           Cohort  Total Cohort  Total Grads  Total Regents  \\\n",
       "Borough       Demographic                                                     \n",
       "Bronx         Female       2003.5   6655.500000  3684.666667    2337.166667   \n",
       "              Male         2003.5   7050.333333  3120.500000    2025.833333   \n",
       "Brooklyn      Female       2003.5  10538.833333  6353.166667    4548.333333   \n",
       "              Male         2003.5  10955.166667  5164.333333    3741.333333   \n",
       "Manhattan     Female       2003.5   7834.166667  5146.833333    3841.833333   \n",
       "              Male         2003.5   6732.166667  3494.166667    2615.833333   \n",
       "Queens        Female       2003.5   8988.333333  5863.000000    4482.500000   \n",
       "              Male         2003.5   9592.000000  4929.333333    3791.500000   \n",
       "Staten Island Female       2003.5   2066.500000  1504.000000    1182.833333   \n",
       "              Male         2003.5   2171.666667  1384.333333    1086.333333   \n",
       "\n",
       "                           Advanced Regents  Regents w/o Advanced   \\\n",
       "Borough       Demographic                                            \n",
       "Bronx         Female             659.166667            1678.000000   \n",
       "              Male               631.166667            1394.666667   \n",
       "Brooklyn      Female            1826.666667            2721.666667   \n",
       "              Male              1508.166667            2233.166667   \n",
       "Manhattan     Female            1379.500000            2462.333333   \n",
       "              Male              1039.666667            1576.166667   \n",
       "Queens        Female            1860.333333            2622.166667   \n",
       "              Male              1437.166667            2354.333333   \n",
       "Staten Island Female             524.833333             658.000000   \n",
       "              Male               458.500000             627.833333   \n",
       "\n",
       "                                 Local  Still Enrolled  Dropped Out  \\\n",
       "Borough       Demographic                                             \n",
       "Bronx         Female       1348.666667     1756.000000   979.333333   \n",
       "              Male         1095.000000     2202.833333  1337.666667   \n",
       "Brooklyn      Female       1806.166667     2670.000000  1253.833333   \n",
       "              Male         1425.166667     3577.166667  1812.166667   \n",
       "Manhattan     Female       1306.333333     1736.166667   779.333333   \n",
       "              Male          878.833333     2008.166667   980.166667   \n",
       "Queens        Female       1382.500000     1923.666667  1009.166667   \n",
       "              Male         1138.333333     2779.166667  1561.833333   \n",
       "Staten Island Female        321.500000      332.833333   165.000000   \n",
       "              Male          298.166667      472.833333   230.666667   \n",
       "\n",
       "                           percent graduated  \n",
       "Borough       Demographic                     \n",
       "Bronx         Female                0.548805  \n",
       "              Male                  0.437203  \n",
       "Brooklyn      Female                0.601697  \n",
       "              Male                  0.469829  \n",
       "Manhattan     Female                0.655394  \n",
       "              Male                  0.517051  \n",
       "Queens        Female                0.651271  \n",
       "              Male                  0.511971  \n",
       "Staten Island Female                0.727245  \n",
       "              Male                  0.635749  "
      ]
     },
     "execution_count": 103,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Can do groupby on filtered data\n",
    "male = df['Demographic'].str.contains(\"Male\")\n",
    "female = df['Demographic'].str.contains(\"Female\")\n",
    "binary = df[(male | female)].groupby([\"Borough\", \"Demographic\"]).mean()\n",
    "binary"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
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       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
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       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            fig.send_message(\"refresh\", {});\n",
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       "\n",
       "    this.imageObj.onload = function() {\n",
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       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
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       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
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       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width);\n",
       "        canvas.attr('height', height);\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'];\n",
       "    var y0 = fig.canvas.height - msg['y0'];\n",
       "    var x1 = msg['x1'];\n",
       "    var y1 = fig.canvas.height - msg['y1'];\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x;\n",
       "    var y = canvas_pos.y;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x117356080>"
      ]
     },
     "execution_count": 112,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%matplotlib notebook\n",
    "#filter along table (Indexing)\n",
    "binary[\"Total Grads\"][\"Bronx\"].plot(kind='Bar')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [],
   "source": [
    "#can groupby indefinite number of levels\n",
    "many = df[(male | female)].groupby([\"Borough\", \"Demographic\", \"Cohort\"]).mean()\n",
    "many"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# what if we want more than 1 function?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th colspan=\"2\" halign=\"left\">Borough</th>\n",
       "      <th colspan=\"2\" halign=\"left\">percent graduated</th>\n",
       "      <th colspan=\"2\" halign=\"left\">Total Grads</th>\n",
       "      <th colspan=\"2\" halign=\"left\">Dropped Out</th>\n",
       "      <th colspan=\"2\" halign=\"left\">Still Enrolled</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Demographic</th>\n",
       "      <th>Female</th>\n",
       "      <th>Male</th>\n",
       "      <th>Female</th>\n",
       "      <th>Male</th>\n",
       "      <th>Female</th>\n",
       "      <th>Male</th>\n",
       "      <th>Female</th>\n",
       "      <th>Male</th>\n",
       "      <th>Female</th>\n",
       "      <th>Male</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cohort</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2001</th>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.089671</td>\n",
       "      <td>0.091078</td>\n",
       "      <td>4434.0</td>\n",
       "      <td>3046.0</td>\n",
       "      <td>4542.0</td>\n",
       "      <td>6518.0</td>\n",
       "      <td>2656.0</td>\n",
       "      <td>3445.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2002</th>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.077962</td>\n",
       "      <td>0.084471</td>\n",
       "      <td>4652.0</td>\n",
       "      <td>3094.0</td>\n",
       "      <td>4384.0</td>\n",
       "      <td>6110.0</td>\n",
       "      <td>2827.0</td>\n",
       "      <td>3541.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2003</th>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.071215</td>\n",
       "      <td>0.076538</td>\n",
       "      <td>4619.0</td>\n",
       "      <td>2994.0</td>\n",
       "      <td>4306.0</td>\n",
       "      <td>6185.0</td>\n",
       "      <td>2808.0</td>\n",
       "      <td>3763.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2004</th>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.052034</td>\n",
       "      <td>0.064027</td>\n",
       "      <td>5178.0</td>\n",
       "      <td>3602.0</td>\n",
       "      <td>4105.0</td>\n",
       "      <td>5899.0</td>\n",
       "      <td>2731.0</td>\n",
       "      <td>3756.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005</th>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.050746</td>\n",
       "      <td>0.066147</td>\n",
       "      <td>5784.0</td>\n",
       "      <td>4032.0</td>\n",
       "      <td>3740.0</td>\n",
       "      <td>5379.0</td>\n",
       "      <td>2679.0</td>\n",
       "      <td>3641.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006</th>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.062317</td>\n",
       "      <td>0.074738</td>\n",
       "      <td>6214.0</td>\n",
       "      <td>4197.0</td>\n",
       "      <td>4043.0</td>\n",
       "      <td>5444.0</td>\n",
       "      <td>2319.0</td>\n",
       "      <td>3317.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Borough      percent graduated           Total Grads          \\\n",
       "Demographic  Female Male            Female      Male      Female    Male   \n",
       "Cohort                                                                     \n",
       "2001            5.0  5.0          0.089671  0.091078      4434.0  3046.0   \n",
       "2002            5.0  5.0          0.077962  0.084471      4652.0  3094.0   \n",
       "2003            5.0  5.0          0.071215  0.076538      4619.0  2994.0   \n",
       "2004            5.0  5.0          0.052034  0.064027      5178.0  3602.0   \n",
       "2005            5.0  5.0          0.050746  0.066147      5784.0  4032.0   \n",
       "2006            5.0  5.0          0.062317  0.074738      6214.0  4197.0   \n",
       "\n",
       "            Dropped Out         Still Enrolled          \n",
       "Demographic      Female    Male         Female    Male  \n",
       "Cohort                                                  \n",
       "2001             4542.0  6518.0         2656.0  3445.0  \n",
       "2002             4384.0  6110.0         2827.0  3541.0  \n",
       "2003             4306.0  6185.0         2808.0  3763.0  \n",
       "2004             4105.0  5899.0         2731.0  3756.0  \n",
       "2005             3740.0  5379.0         2679.0  3641.0  \n",
       "2006             4043.0  5444.0         2319.0  3317.0  "
      ]
     },
     "execution_count": 107,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# total number of items but the last start date\n",
    "\"\"\"index becomes the row agg function is how \n",
    "data in each subset->(Station, Date) is analyzed:\n",
    "* first argument is the column being analyzed\n",
    "* second is aggregating function:\n",
    "    * total items\n",
    "    * max start date\n",
    "\"\"\"\n",
    "#now fancy grouping\n",
    "df_pivot = df[(male|female)].pivot_table(index='Cohort',\n",
    "                          columns = \"Demographic\",\n",
    "            aggfunc={'Borough':'count',\n",
    "                     'Total Grads':'median',\n",
    "                     'Still Enrolled':'max',\n",
    "                     'Dropped Out':'sum',\n",
    "                     'percent graduated': 'std'})\n",
    "df_pivot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width);\n",
       "        canvas.attr('height', height);\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'];\n",
       "    var y0 = fig.canvas.height - msg['y0'];\n",
       "    var x1 = msg['x1'];\n",
       "    var y1 = fig.canvas.height - msg['y1'];\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x;\n",
       "    var y = canvas_pos.y;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x116b45be0>"
      ]
     },
     "execution_count": 109,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_pivot[['Still Enrolled', 'Dropped Out', 'Total Grads']].plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#Any other cat grouping\n",
    "\n",
    "df['Demographic'].unique()\n",
    "asian = df['Demographic'].str.contains(\"Asian\")\n",
    "black = df['Demographic'].str.contains(\"Black\")\n",
    "hispanic = df['Demographic'].str.contains(\"Hispanic\")\n",
    "white = df['Demographic'].str.contains(\"White\")\n",
    "ind_cols = [\"Total Cohort\",\"Total Grads\", \"Still Enrolled\", \"\"]\n",
    "from pandas.tools.plotting import parallel_coordinates\n",
    "parallel_coordinates(df[asian|black|hispanic|white], 'Demographic', cols=[\"Total \"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
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