Pandas.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Pandas\n",
    "\n",
    "We read in some data from a CSV file. CSV files can be output by any spreadsheet software, and are plain text, so make a great way to share data. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import pandas as pd \n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "df = pd.read_csv(\"train.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Display the first n rows of the data by df.head(n)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ID</th>\n",
       "      <th>crim</th>\n",
       "      <th>zn</th>\n",
       "      <th>indus</th>\n",
       "      <th>chas</th>\n",
       "      <th>nox</th>\n",
       "      <th>rm</th>\n",
       "      <th>age</th>\n",
       "      <th>dis</th>\n",
       "      <th>rad</th>\n",
       "      <th>tax</th>\n",
       "      <th>ptratio</th>\n",
       "      <th>black</th>\n",
       "      <th>lstat</th>\n",
       "      <th>medv</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>0.00632</td>\n",
       "      <td>18.0</td>\n",
       "      <td>2.31</td>\n",
       "      <td>0</td>\n",
       "      <td>0.538</td>\n",
       "      <td>6.575</td>\n",
       "      <td>65.2</td>\n",
       "      <td>4.0900</td>\n",
       "      <td>1</td>\n",
       "      <td>296</td>\n",
       "      <td>15.3</td>\n",
       "      <td>396.90</td>\n",
       "      <td>4.98</td>\n",
       "      <td>24.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>0.02731</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.07</td>\n",
       "      <td>0</td>\n",
       "      <td>0.469</td>\n",
       "      <td>6.421</td>\n",
       "      <td>78.9</td>\n",
       "      <td>4.9671</td>\n",
       "      <td>2</td>\n",
       "      <td>242</td>\n",
       "      <td>17.8</td>\n",
       "      <td>396.90</td>\n",
       "      <td>9.14</td>\n",
       "      <td>21.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4</td>\n",
       "      <td>0.03237</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.18</td>\n",
       "      <td>0</td>\n",
       "      <td>0.458</td>\n",
       "      <td>6.998</td>\n",
       "      <td>45.8</td>\n",
       "      <td>6.0622</td>\n",
       "      <td>3</td>\n",
       "      <td>222</td>\n",
       "      <td>18.7</td>\n",
       "      <td>394.63</td>\n",
       "      <td>2.94</td>\n",
       "      <td>33.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>5</td>\n",
       "      <td>0.06905</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.18</td>\n",
       "      <td>0</td>\n",
       "      <td>0.458</td>\n",
       "      <td>7.147</td>\n",
       "      <td>54.2</td>\n",
       "      <td>6.0622</td>\n",
       "      <td>3</td>\n",
       "      <td>222</td>\n",
       "      <td>18.7</td>\n",
       "      <td>396.90</td>\n",
       "      <td>5.33</td>\n",
       "      <td>36.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>7</td>\n",
       "      <td>0.08829</td>\n",
       "      <td>12.5</td>\n",
       "      <td>7.87</td>\n",
       "      <td>0</td>\n",
       "      <td>0.524</td>\n",
       "      <td>6.012</td>\n",
       "      <td>66.6</td>\n",
       "      <td>5.5605</td>\n",
       "      <td>5</td>\n",
       "      <td>311</td>\n",
       "      <td>15.2</td>\n",
       "      <td>395.60</td>\n",
       "      <td>12.43</td>\n",
       "      <td>22.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>11</td>\n",
       "      <td>0.22489</td>\n",
       "      <td>12.5</td>\n",
       "      <td>7.87</td>\n",
       "      <td>0</td>\n",
       "      <td>0.524</td>\n",
       "      <td>6.377</td>\n",
       "      <td>94.3</td>\n",
       "      <td>6.3467</td>\n",
       "      <td>5</td>\n",
       "      <td>311</td>\n",
       "      <td>15.2</td>\n",
       "      <td>392.52</td>\n",
       "      <td>20.45</td>\n",
       "      <td>15.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>12</td>\n",
       "      <td>0.11747</td>\n",
       "      <td>12.5</td>\n",
       "      <td>7.87</td>\n",
       "      <td>0</td>\n",
       "      <td>0.524</td>\n",
       "      <td>6.009</td>\n",
       "      <td>82.9</td>\n",
       "      <td>6.2267</td>\n",
       "      <td>5</td>\n",
       "      <td>311</td>\n",
       "      <td>15.2</td>\n",
       "      <td>396.90</td>\n",
       "      <td>13.27</td>\n",
       "      <td>18.9</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   ID     crim    zn  indus  chas    nox     rm   age     dis  rad  tax  \\\n",
       "0   1  0.00632  18.0   2.31     0  0.538  6.575  65.2  4.0900    1  296   \n",
       "1   2  0.02731   0.0   7.07     0  0.469  6.421  78.9  4.9671    2  242   \n",
       "2   4  0.03237   0.0   2.18     0  0.458  6.998  45.8  6.0622    3  222   \n",
       "3   5  0.06905   0.0   2.18     0  0.458  7.147  54.2  6.0622    3  222   \n",
       "4   7  0.08829  12.5   7.87     0  0.524  6.012  66.6  5.5605    5  311   \n",
       "5  11  0.22489  12.5   7.87     0  0.524  6.377  94.3  6.3467    5  311   \n",
       "6  12  0.11747  12.5   7.87     0  0.524  6.009  82.9  6.2267    5  311   \n",
       "\n",
       "   ptratio   black  lstat  medv  \n",
       "0     15.3  396.90   4.98  24.0  \n",
       "1     17.8  396.90   9.14  21.6  \n",
       "2     18.7  394.63   2.94  33.4  \n",
       "3     18.7  396.90   5.33  36.2  \n",
       "4     15.2  395.60  12.43  22.9  \n",
       "5     15.2  392.52  20.45  15.0  \n",
       "6     15.2  396.90  13.27  18.9  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(7)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "## The basics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ID           int64\n",
       "crim       float64\n",
       "zn         float64\n",
       "indus      float64\n",
       "chas         int64\n",
       "nox        float64\n",
       "rm         float64\n",
       "age        float64\n",
       "dis        float64\n",
       "rad          int64\n",
       "tax          int64\n",
       "ptratio    float64\n",
       "black      float64\n",
       "lstat      float64\n",
       "medv       float64\n",
       "dtype: object"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(333, 15)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index([u'ID', u'crim', u'zn', u'indus', u'chas', u'nox', u'rm', u'age', u'dis',\n",
       "       u'rad', u'tax', u'ptratio', u'black', u'lstat', u'medv'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.series.Series'> <class 'pandas.core.frame.DataFrame'>\n",
      "0        1\n",
      "1        2\n",
      "2        4\n",
      "3        5\n",
      "4        7\n",
      "5       11\n",
      "6       12\n",
      "7       13\n",
      "8       14\n",
      "9       15\n",
      "10      16\n",
      "11      17\n",
      "12      19\n",
      "13      21\n",
      "14      22\n",
      "15      23\n",
      "16      24\n",
      "17      28\n",
      "18      31\n",
      "19      32\n",
      "20      35\n",
      "21      39\n",
      "22      40\n",
      "23      41\n",
      "24      43\n",
      "25      44\n",
      "26      45\n",
      "27      46\n",
      "28      47\n",
      "29      48\n",
      "      ... \n",
      "303    465\n",
      "304    466\n",
      "305    467\n",
      "306    468\n",
      "307    469\n",
      "308    470\n",
      "309    472\n",
      "310    473\n",
      "311    475\n",
      "312    477\n",
      "313    478\n",
      "314    479\n",
      "315    480\n",
      "316    481\n",
      "317    482\n",
      "318    484\n",
      "319    485\n",
      "320    487\n",
      "321    488\n",
      "322    489\n",
      "323    491\n",
      "324    492\n",
      "325    493\n",
      "326    494\n",
      "327    498\n",
      "328    500\n",
      "329    502\n",
      "330    503\n",
      "331    504\n",
      "332    506\n",
      "Name: ID, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "print type(df.ID), type(df)\n",
    "print df.ID\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Querying"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       True\n",
       "1       True\n",
       "2      False\n",
       "3       True\n",
       "4       True\n",
       "5       True\n",
       "6       True\n",
       "7      False\n",
       "8       True\n",
       "9       True\n",
       "10      True\n",
       "11     False\n",
       "12     False\n",
       "13      True\n",
       "14      True\n",
       "15      True\n",
       "16      True\n",
       "17      True\n",
       "18      True\n",
       "19      True\n",
       "20      True\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      True\n",
       "       ...  \n",
       "303     True\n",
       "304    False\n",
       "305     True\n",
       "306     True\n",
       "307     True\n",
       "308     True\n",
       "309     True\n",
       "310     True\n",
       "311     True\n",
       "312     True\n",
       "313     True\n",
       "314     True\n",
       "315     True\n",
       "316     True\n",
       "317     True\n",
       "318    False\n",
       "319    False\n",
       "320     True\n",
       "321     True\n",
       "322     True\n",
       "323     True\n",
       "324     True\n",
       "325     True\n",
       "326     True\n",
       "327     True\n",
       "328     True\n",
       "329     True\n",
       "330     True\n",
       "331     True\n",
       "332     True\n",
       "Name: age, dtype: bool"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.age > 50"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "236"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(df.age > 50).sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "333"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(df.age)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.70870870870870872"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(df.age > 50).sum()/ float(len(df.age))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "333"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.age.shape[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.70870870870870872"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(df.age > 50).mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ID</th>\n",
       "      <th>crim</th>\n",
       "      <th>zn</th>\n",
       "      <th>indus</th>\n",
       "      <th>chas</th>\n",
       "      <th>nox</th>\n",
       "      <th>rm</th>\n",
       "      <th>age</th>\n",
       "      <th>dis</th>\n",
       "      <th>rad</th>\n",
       "      <th>tax</th>\n",
       "      <th>ptratio</th>\n",
       "      <th>black</th>\n",
       "      <th>lstat</th>\n",
       "      <th>medv</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>0.00632</td>\n",
       "      <td>18.0</td>\n",
       "      <td>2.31</td>\n",
       "      <td>0</td>\n",
       "      <td>0.5380</td>\n",
       "      <td>6.575</td>\n",
       "      <td>65.2</td>\n",
       "      <td>4.0900</td>\n",
       "      <td>1</td>\n",
       "      <td>296</td>\n",
       "      <td>15.3</td>\n",
       "      <td>396.90</td>\n",
       "      <td>4.98</td>\n",
       "      <td>24.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>0.02731</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.07</td>\n",
       "      <td>0</td>\n",
       "      <td>0.4690</td>\n",
       "      <td>6.421</td>\n",
       "      <td>78.9</td>\n",
       "      <td>4.9671</td>\n",
       "      <td>2</td>\n",
       "      <td>242</td>\n",
       "      <td>17.8</td>\n",
       "      <td>396.90</td>\n",
       "      <td>9.14</td>\n",
       "      <td>21.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>5</td>\n",
       "      <td>0.06905</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.18</td>\n",
       "      <td>0</td>\n",
       "      <td>0.4580</td>\n",
       "      <td>7.147</td>\n",
       "      <td>54.2</td>\n",
       "      <td>6.0622</td>\n",
       "      <td>3</td>\n",
       "      <td>222</td>\n",
       "      <td>18.7</td>\n",
       "      <td>396.90</td>\n",
       "      <td>5.33</td>\n",
       "      <td>36.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>7</td>\n",
       "      <td>0.08829</td>\n",
       "      <td>12.5</td>\n",
       "      <td>7.87</td>\n",
       "      <td>0</td>\n",
       "      <td>0.5240</td>\n",
       "      <td>6.012</td>\n",
       "      <td>66.6</td>\n",
       "      <td>5.5605</td>\n",
       "      <td>5</td>\n",
       "      <td>311</td>\n",
       "      <td>15.2</td>\n",
       "      <td>395.60</td>\n",
       "      <td>12.43</td>\n",
       "      <td>22.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>11</td>\n",
       "      <td>0.22489</td>\n",
       "      <td>12.5</td>\n",
       "      <td>7.87</td>\n",
       "      <td>0</td>\n",
       "      <td>0.5240</td>\n",
       "      <td>6.377</td>\n",
       "      <td>94.3</td>\n",
       "      <td>6.3467</td>\n",
       "      <td>5</td>\n",
       "      <td>311</td>\n",
       "      <td>15.2</td>\n",
       "      <td>392.52</td>\n",
       "      <td>20.45</td>\n",
       "      <td>15.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>12</td>\n",
       "      <td>0.11747</td>\n",
       "      <td>12.5</td>\n",
       "      <td>7.87</td>\n",
       "      <td>0</td>\n",
       "      <td>0.5240</td>\n",
       "      <td>6.009</td>\n",
       "      <td>82.9</td>\n",
       "      <td>6.2267</td>\n",
       "      <td>5</td>\n",
       "      <td>311</td>\n",
       "      <td>15.2</td>\n",
       "      <td>396.90</td>\n",
       "      <td>13.27</td>\n",
       "      <td>18.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>14</td>\n",
       "      <td>0.62976</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.14</td>\n",
       "      <td>0</td>\n",
       "      <td>0.5380</td>\n",
       "      <td>5.949</td>\n",
       "      <td>61.8</td>\n",
       "      <td>4.7075</td>\n",
       "      <td>4</td>\n",
       "      <td>307</td>\n",
       "      <td>21.0</td>\n",
       "      <td>396.90</td>\n",
       "      <td>8.26</td>\n",
       "      <td>20.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>15</td>\n",
       "      <td>0.63796</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.14</td>\n",
       "      <td>0</td>\n",
       "      <td>0.5380</td>\n",
       "      <td>6.096</td>\n",
       "      <td>84.5</td>\n",
       "      <td>4.4619</td>\n",
       "      <td>4</td>\n",
       "      <td>307</td>\n",
       "      <td>21.0</td>\n",
       "      <td>380.02</td>\n",
       "      <td>10.26</td>\n",
       "      <td>18.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>16</td>\n",
       "      <td>0.62739</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.14</td>\n",
       "      <td>0</td>\n",
       "      <td>0.5380</td>\n",
       "      <td>5.834</td>\n",
       "      <td>56.5</td>\n",
       "      <td>4.4986</td>\n",
       "      <td>4</td>\n",
       "      <td>307</td>\n",
       "      <td>21.0</td>\n",
       "      <td>395.62</td>\n",
       "      <td>8.47</td>\n",
       "      <td>19.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>21</td>\n",
       "      <td>1.25179</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.14</td>\n",
       "      <td>0</td>\n",
       "      <td>0.5380</td>\n",
       "      <td>5.570</td>\n",
       "      <td>98.1</td>\n",
       "      <td>3.7979</td>\n",
       "      <td>4</td>\n",
       "      <td>307</td>\n",
       "      <td>21.0</td>\n",
       "      <td>376.57</td>\n",
       "      <td>21.02</td>\n",
       "      <td>13.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>22</td>\n",
       "      <td>0.85204</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.14</td>\n",
       "      <td>0</td>\n",
       "      <td>0.5380</td>\n",
       "      <td>5.965</td>\n",
       "      <td>89.2</td>\n",
       "      <td>4.0123</td>\n",
       "      <td>4</td>\n",
       "      <td>307</td>\n",
       "      <td>21.0</td>\n",
       "      <td>392.53</td>\n",
       "      <td>13.83</td>\n",
       "      <td>19.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>23</td>\n",
       "      <td>1.23247</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.14</td>\n",
       "      <td>0</td>\n",
       "      <td>0.5380</td>\n",
       "      <td>6.142</td>\n",
       "      <td>91.7</td>\n",
       "      <td>3.9769</td>\n",
       "      <td>4</td>\n",
       "      <td>307</td>\n",
       "      <td>21.0</td>\n",
       "      <td>396.90</td>\n",
       "      <td>18.72</td>\n",
       "      <td>15.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>24</td>\n",
       "      <td>0.98843</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.14</td>\n",
       "      <td>0</td>\n",
       "      <td>0.5380</td>\n",
       "      <td>5.813</td>\n",
       "      <td>100.0</td>\n",
       "      <td>4.0952</td>\n",
       "      <td>4</td>\n",
       "      <td>307</td>\n",
       "      <td>21.0</td>\n",
       "      <td>394.54</td>\n",
       "      <td>19.88</td>\n",
       "      <td>14.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>28</td>\n",
       "      <td>0.95577</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.14</td>\n",
       "      <td>0</td>\n",
       "      <td>0.5380</td>\n",
       "      <td>6.047</td>\n",
       "      <td>88.8</td>\n",
       "      <td>4.4534</td>\n",
       "      <td>4</td>\n",
       "      <td>307</td>\n",
       "      <td>21.0</td>\n",
       "      <td>306.38</td>\n",
       "      <td>17.28</td>\n",
       "      <td>14.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>31</td>\n",
       "      <td>1.13081</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.14</td>\n",
       "      <td>0</td>\n",
       "      <td>0.5380</td>\n",
       "      <td>5.713</td>\n",
       "      <td>94.1</td>\n",
       "      <td>4.2330</td>\n",
       "      <td>4</td>\n",
       "      <td>307</td>\n",
       "      <td>21.0</td>\n",
       "      <td>360.17</td>\n",
       "      <td>22.60</td>\n",
       "      <td>12.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>32</td>\n",
       "      <td>1.35472</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.14</td>\n",
       "      <td>0</td>\n",
       "      <td>0.5380</td>\n",
       "      <td>6.072</td>\n",
       "      <td>100.0</td>\n",
       "      <td>4.1750</td>\n",
       "      <td>4</td>\n",
       "      <td>307</td>\n",
       "      <td>21.0</td>\n",
       "      <td>376.73</td>\n",
       "      <td>13.04</td>\n",
       "      <td>14.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>35</td>\n",
       "      <td>1.61282</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.14</td>\n",
       "      <td>0</td>\n",
       "      <td>0.5380</td>\n",
       "      <td>6.096</td>\n",
       "      <td>96.9</td>\n",
       "      <td>3.7598</td>\n",
       "      <td>4</td>\n",
       "      <td>307</td>\n",
       "      <td>21.0</td>\n",
       "      <td>248.31</td>\n",
       "      <td>20.34</td>\n",
       "      <td>13.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>48</td>\n",
       "      <td>0.22927</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.91</td>\n",
       "      <td>0</td>\n",
       "      <td>0.4480</td>\n",
       "      <td>6.030</td>\n",
       "      <td>85.5</td>\n",
       "      <td>5.6894</td>\n",
       "      <td>3</td>\n",
       "      <td>233</td>\n",
       "      <td>17.9</td>\n",
       "      <td>392.74</td>\n",
       "      <td>18.80</td>\n",
       "      <td>16.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>50</td>\n",
       "      <td>0.21977</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.91</td>\n",
       "      <td>0</td>\n",
       "      <td>0.4480</td>\n",
       "      <td>5.602</td>\n",
       "      <td>62.0</td>\n",
       "      <td>6.0877</td>\n",
       "      <td>3</td>\n",
       "      <td>233</td>\n",
       "      <td>17.9</td>\n",
       "      <td>396.90</td>\n",
       "      <td>16.20</td>\n",
       "      <td>19.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>52</td>\n",
       "      <td>0.04337</td>\n",
       "      <td>21.0</td>\n",
       "      <td>5.64</td>\n",
       "      <td>0</td>\n",
       "      <td>0.4390</td>\n",
       "      <td>6.115</td>\n",
       "      <td>63.0</td>\n",
       "      <td>6.8147</td>\n",
       "      <td>4</td>\n",
       "      <td>243</td>\n",
       "      <td>16.8</td>\n",
       "      <td>393.97</td>\n",
       "      <td>9.43</td>\n",
       "      <td>20.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>61</td>\n",
       "      <td>0.14932</td>\n",
       "      <td>25.0</td>\n",
       "      <td>5.13</td>\n",
       "      <td>0</td>\n",
       "      <td>0.4530</td>\n",
       "      <td>5.741</td>\n",
       "      <td>66.2</td>\n",
       "      <td>7.2254</td>\n",
       "      <td>8</td>\n",
       "      <td>284</td>\n",
       "      <td>19.7</td>\n",
       "      <td>395.11</td>\n",
       "      <td>13.15</td>\n",
       "      <td>18.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>62</td>\n",
       "      <td>0.17171</td>\n",
       "      <td>25.0</td>\n",
       "      <td>5.13</td>\n",
       "      <td>0</td>\n",
       "      <td>0.4530</td>\n",
       "      <td>5.966</td>\n",
       "      <td>93.4</td>\n",
       "      <td>6.8185</td>\n",
       "      <td>8</td>\n",
       "      <td>284</td>\n",
       "      <td>19.7</td>\n",
       "      <td>378.08</td>\n",
       "      <td>14.44</td>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>65</td>\n",
       "      <td>0.01951</td>\n",
       "      <td>17.5</td>\n",
       "      <td>1.38</td>\n",
       "      <td>0</td>\n",
       "      <td>0.4161</td>\n",
       "      <td>7.104</td>\n",
       "      <td>59.5</td>\n",
       "      <td>9.2229</td>\n",
       "      <td>3</td>\n",
       "      <td>216</td>\n",
       "      <td>18.6</td>\n",
       "      <td>393.24</td>\n",
       "      <td>8.05</td>\n",
       "      <td>33.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>77</td>\n",
       "      <td>0.10153</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12.83</td>\n",
       "      <td>0</td>\n",
       "      <td>0.4370</td>\n",
       "      <td>6.279</td>\n",
       "      <td>74.5</td>\n",
       "      <td>4.0522</td>\n",
       "      <td>5</td>\n",
       "      <td>398</td>\n",
       "      <td>18.7</td>\n",
       "      <td>373.66</td>\n",
       "      <td>11.97</td>\n",
       "      <td>20.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>82</td>\n",
       "      <td>0.04462</td>\n",
       "      <td>25.0</td>\n",
       "      <td>4.86</td>\n",
       "      <td>0</td>\n",
       "      <td>0.4260</td>\n",
       "      <td>6.619</td>\n",
       "      <td>70.4</td>\n",
       "      <td>5.4007</td>\n",
       "      <td>4</td>\n",
       "      <td>281</td>\n",
       "      <td>19.0</td>\n",
       "      <td>395.63</td>\n",
       "      <td>7.22</td>\n",
       "      <td>23.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>86</td>\n",
       "      <td>0.05735</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.49</td>\n",
       "      <td>0</td>\n",
       "      <td>0.4490</td>\n",
       "      <td>6.630</td>\n",
       "      <td>56.1</td>\n",
       "      <td>4.4377</td>\n",
       "      <td>3</td>\n",
       "      <td>247</td>\n",
       "      <td>18.5</td>\n",
       "      <td>392.30</td>\n",
       "      <td>6.53</td>\n",
       "      <td>26.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>88</td>\n",
       "      <td>0.07151</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.49</td>\n",
       "      <td>0</td>\n",
       "      <td>0.4490</td>\n",
       "      <td>6.121</td>\n",
       "      <td>56.8</td>\n",
       "      <td>3.7476</td>\n",
       "      <td>3</td>\n",
       "      <td>247</td>\n",
       "      <td>18.5</td>\n",
       "      <td>395.15</td>\n",
       "      <td>8.44</td>\n",
       "      <td>22.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>89</td>\n",
       "      <td>0.05660</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.41</td>\n",
       "      <td>0</td>\n",
       "      <td>0.4890</td>\n",
       "      <td>7.007</td>\n",
       "      <td>86.3</td>\n",
       "      <td>3.4217</td>\n",
       "      <td>2</td>\n",
       "      <td>270</td>\n",
       "      <td>17.8</td>\n",
       "      <td>396.90</td>\n",
       "      <td>5.50</td>\n",
       "      <td>23.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>90</td>\n",
       "      <td>0.05302</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.41</td>\n",
       "      <td>0</td>\n",
       "      <td>0.4890</td>\n",
       "      <td>7.079</td>\n",
       "      <td>63.1</td>\n",
       "      <td>3.4145</td>\n",
       "      <td>2</td>\n",
       "      <td>270</td>\n",
       "      <td>17.8</td>\n",
       "      <td>396.06</td>\n",
       "      <td>5.70</td>\n",
       "      <td>28.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>91</td>\n",
       "      <td>0.04684</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.41</td>\n",
       "      <td>0</td>\n",
       "      <td>0.4890</td>\n",
       "      <td>6.417</td>\n",
       "      <td>66.1</td>\n",
       "      <td>3.0923</td>\n",
       "      <td>2</td>\n",
       "      <td>270</td>\n",
       "      <td>17.8</td>\n",
       "      <td>392.18</td>\n",
       "      <td>8.81</td>\n",
       "      <td>22.6</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>300</th>\n",
       "      <td>462</td>\n",
       "      <td>3.69311</td>\n",
       "      <td>0.0</td>\n",
       "      <td>18.10</td>\n",
       "      <td>0</td>\n",
       "      <td>0.7130</td>\n",
       "      <td>6.376</td>\n",
       "      <td>88.4</td>\n",
       "      <td>2.5671</td>\n",
       "      <td>24</td>\n",
       "      <td>666</td>\n",
       "      <td>20.2</td>\n",
       "      <td>391.43</td>\n",
       "      <td>14.65</td>\n",
       "      <td>17.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>301</th>\n",
       "      <td>463</td>\n",
       "      <td>6.65492</td>\n",
       "      <td>0.0</td>\n",
       "      <td>18.10</td>\n",
       "      <td>0</td>\n",
       "      <td>0.7130</td>\n",
       "      <td>6.317</td>\n",
       "      <td>83.0</td>\n",
       "      <td>2.7344</td>\n",
       "      <td>24</td>\n",
       "      <td>666</td>\n",
       "      <td>20.2</td>\n",
       "      <td>396.90</td>\n",
       "      <td>13.99</td>\n",
       "      <td>19.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>302</th>\n",
       "      <td>464</td>\n",
       "      <td>5.82115</td>\n",
       "      <td>0.0</td>\n",
       "      <td>18.10</td>\n",
       "      <td>0</td>\n",
       "      <td>0.7130</td>\n",
       "      <td>6.513</td>\n",
       "      <td>89.9</td>\n",
       "      <td>2.8016</td>\n",
       "      <td>24</td>\n",
       "      <td>666</td>\n",
       "      <td>20.2</td>\n",
       "      <td>393.82</td>\n",
       "      <td>10.29</td>\n",
       "      <td>20.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>303</th>\n",
       "      <td>465</td>\n",
       "      <td>7.83932</td>\n",
       "      <td>0.0</td>\n",
       "      <td>18.10</td>\n",
       "      <td>0</td>\n",
       "      <td>0.6550</td>\n",
       "      <td>6.209</td>\n",
       "      <td>65.4</td>\n",
       "      <td>2.9634</td>\n",
       "      <td>24</td>\n",
       "      <td>666</td>\n",
       "      <td>20.2</td>\n",
       "      <td>396.90</td>\n",
       "      <td>13.22</td>\n",
       "      <td>21.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>305</th>\n",
       "      <td>467</td>\n",
       "      <td>3.77498</td>\n",
       "      <td>0.0</td>\n",
       "      <td>18.10</td>\n",
       "      <td>0</td>\n",
       "      <td>0.6550</td>\n",
       "      <td>5.952</td>\n",
       "      <td>84.7</td>\n",
       "      <td>2.8715</td>\n",
       "      <td>24</td>\n",
       "      <td>666</td>\n",
       "      <td>20.2</td>\n",
       "      <td>22.01</td>\n",
       "      <td>17.15</td>\n",
       "      <td>19.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>306</th>\n",
       "      <td>468</td>\n",
       "      <td>4.42228</td>\n",
       "      <td>0.0</td>\n",
       "      <td>18.10</td>\n",
       "      <td>0</td>\n",
       "      <td>0.5840</td>\n",
       "      <td>6.003</td>\n",
       "      <td>94.5</td>\n",
       "      <td>2.5403</td>\n",
       "      <td>24</td>\n",
       "      <td>666</td>\n",
       "      <td>20.2</td>\n",
       "      <td>331.29</td>\n",
       "      <td>21.32</td>\n",
       "      <td>19.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>307</th>\n",
       "      <td>469</td>\n",
       "      <td>15.57570</td>\n",
       "      <td>0.0</td>\n",
       "      <td>18.10</td>\n",
       "      <td>0</td>\n",
       "      <td>0.5800</td>\n",
       "      <td>5.926</td>\n",
       "      <td>71.0</td>\n",
       "      <td>2.9084</td>\n",
       "      <td>24</td>\n",
       "      <td>666</td>\n",
       "      <td>20.2</td>\n",
       "      <td>368.74</td>\n",
       "      <td>18.13</td>\n",
       "      <td>19.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>308</th>\n",
       "      <td>470</td>\n",
       "      <td>13.07510</td>\n",
       "      <td>0.0</td>\n",
       "      <td>18.10</td>\n",
       "      <td>0</td>\n",
       "      <td>0.5800</td>\n",
       "      <td>5.713</td>\n",
       "      <td>56.7</td>\n",
       "      <td>2.8237</td>\n",
       "      <td>24</td>\n",
       "      <td>666</td>\n",
       "      <td>20.2</td>\n",
       "      <td>396.90</td>\n",
       "      <td>14.76</td>\n",
       "      <td>20.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>309</th>\n",
       "      <td>472</td>\n",
       "      <td>4.03841</td>\n",
       "      <td>0.0</td>\n",
       "      <td>18.10</td>\n",
       "      <td>0</td>\n",
       "      <td>0.5320</td>\n",
       "      <td>6.229</td>\n",
       "      <td>90.7</td>\n",
       "      <td>3.0993</td>\n",
       "      <td>24</td>\n",
       "      <td>666</td>\n",
       "      <td>20.2</td>\n",
       "      <td>395.33</td>\n",
       "      <td>12.87</td>\n",
       "      <td>19.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>310</th>\n",
       "      <td>473</td>\n",
       "      <td>3.56868</td>\n",
       "      <td>0.0</td>\n",
       "      <td>18.10</td>\n",
       "      <td>0</td>\n",
       "      <td>0.5800</td>\n",
       "      <td>6.437</td>\n",
       "      <td>75.0</td>\n",
       "      <td>2.8965</td>\n",
       "      <td>24</td>\n",
       "      <td>666</td>\n",
       "      <td>20.2</td>\n",
       "      <td>393.37</td>\n",
       "      <td>14.36</td>\n",
       "      <td>23.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>311</th>\n",
       "      <td>475</td>\n",
       "      <td>8.05579</td>\n",
       "      <td>0.0</td>\n",
       "      <td>18.10</td>\n",
       "      <td>0</td>\n",
       "      <td>0.5840</td>\n",
       "      <td>5.427</td>\n",
       "      <td>95.4</td>\n",
       "      <td>2.4298</td>\n",
       "      <td>24</td>\n",
       "      <td>666</td>\n",
       "      <td>20.2</td>\n",
       "      <td>352.58</td>\n",
       "      <td>18.14</td>\n",
       "      <td>13.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>312</th>\n",
       "      <td>477</td>\n",
       "      <td>4.87141</td>\n",
       "      <td>0.0</td>\n",
       "      <td>18.10</td>\n",
       "      <td>0</td>\n",
       "      <td>0.6140</td>\n",
       "      <td>6.484</td>\n",
       "      <td>93.6</td>\n",
       "      <td>2.3053</td>\n",
       "      <td>24</td>\n",
       "      <td>666</td>\n",
       "      <td>20.2</td>\n",
       "      <td>396.21</td>\n",
       "      <td>18.68</td>\n",
       "      <td>16.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>313</th>\n",
       "      <td>478</td>\n",
       "      <td>15.02340</td>\n",
       "      <td>0.0</td>\n",
       "      <td>18.10</td>\n",
       "      <td>0</td>\n",
       "      <td>0.6140</td>\n",
       "      <td>5.304</td>\n",
       "      <td>97.3</td>\n",
       "      <td>2.1007</td>\n",
       "      <td>24</td>\n",
       "      <td>666</td>\n",
       "      <td>20.2</td>\n",
       "      <td>349.48</td>\n",
       "      <td>24.91</td>\n",
       "      <td>12.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>314</th>\n",
       "      <td>479</td>\n",
       "      <td>10.23300</td>\n",
       "      <td>0.0</td>\n",
       "      <td>18.10</td>\n",
       "      <td>0</td>\n",
       "      <td>0.6140</td>\n",
       "      <td>6.185</td>\n",
       "      <td>96.7</td>\n",
       "      <td>2.1705</td>\n",
       "      <td>24</td>\n",
       "      <td>666</td>\n",
       "      <td>20.2</td>\n",
       "      <td>379.70</td>\n",
       "      <td>18.03</td>\n",
       "      <td>14.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>315</th>\n",
       "      <td>480</td>\n",
       "      <td>14.33370</td>\n",
       "      <td>0.0</td>\n",
       "      <td>18.10</td>\n",
       "      <td>0</td>\n",
       "      <td>0.6140</td>\n",
       "      <td>6.229</td>\n",
       "      <td>88.0</td>\n",
       "      <td>1.9512</td>\n",
       "      <td>24</td>\n",
       "      <td>666</td>\n",
       "      <td>20.2</td>\n",
       "      <td>383.32</td>\n",
       "      <td>13.11</td>\n",
       "      <td>21.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>316</th>\n",
       "      <td>481</td>\n",
       "      <td>5.82401</td>\n",
       "      <td>0.0</td>\n",
       "      <td>18.10</td>\n",
       "      <td>0</td>\n",
       "      <td>0.5320</td>\n",
       "      <td>6.242</td>\n",
       "      <td>64.7</td>\n",
       "      <td>3.4242</td>\n",
       "      <td>24</td>\n",
       "      <td>666</td>\n",
       "      <td>20.2</td>\n",
       "      <td>396.90</td>\n",
       "      <td>10.74</td>\n",
       "      <td>23.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>317</th>\n",
       "      <td>482</td>\n",
       "      <td>5.70818</td>\n",
       "      <td>0.0</td>\n",
       "      <td>18.10</td>\n",
       "      <td>0</td>\n",
       "      <td>0.5320</td>\n",
       "      <td>6.750</td>\n",
       "      <td>74.9</td>\n",
       "      <td>3.3317</td>\n",
       "      <td>24</td>\n",
       "      <td>666</td>\n",
       "      <td>20.2</td>\n",
       "      <td>393.07</td>\n",
       "      <td>7.74</td>\n",
       "      <td>23.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>320</th>\n",
       "      <td>487</td>\n",
       "      <td>5.69175</td>\n",
       "      <td>0.0</td>\n",
       "      <td>18.10</td>\n",
       "      <td>0</td>\n",
       "      <td>0.5830</td>\n",
       "      <td>6.114</td>\n",
       "      <td>79.8</td>\n",
       "      <td>3.5459</td>\n",
       "      <td>24</td>\n",
       "      <td>666</td>\n",
       "      <td>20.2</td>\n",
       "      <td>392.68</td>\n",
       "      <td>14.98</td>\n",
       "      <td>19.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>321</th>\n",
       "      <td>488</td>\n",
       "      <td>4.83567</td>\n",
       "      <td>0.0</td>\n",
       "      <td>18.10</td>\n",
       "      <td>0</td>\n",
       "      <td>0.5830</td>\n",
       "      <td>5.905</td>\n",
       "      <td>53.2</td>\n",
       "      <td>3.1523</td>\n",
       "      <td>24</td>\n",
       "      <td>666</td>\n",
       "      <td>20.2</td>\n",
       "      <td>388.22</td>\n",
       "      <td>11.45</td>\n",
       "      <td>20.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>322</th>\n",
       "      <td>489</td>\n",
       "      <td>0.15086</td>\n",
       "      <td>0.0</td>\n",
       "      <td>27.74</td>\n",
       "      <td>0</td>\n",
       "      <td>0.6090</td>\n",
       "      <td>5.454</td>\n",
       "      <td>92.7</td>\n",
       "      <td>1.8209</td>\n",
       "      <td>4</td>\n",
       "      <td>711</td>\n",
       "      <td>20.1</td>\n",
       "      <td>395.09</td>\n",
       "      <td>18.06</td>\n",
       "      <td>15.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>323</th>\n",
       "      <td>491</td>\n",
       "      <td>0.20746</td>\n",
       "      <td>0.0</td>\n",
       "      <td>27.74</td>\n",
       "      <td>0</td>\n",
       "      <td>0.6090</td>\n",
       "      <td>5.093</td>\n",
       "      <td>98.0</td>\n",
       "      <td>1.8226</td>\n",
       "      <td>4</td>\n",
       "      <td>711</td>\n",
       "      <td>20.1</td>\n",
       "      <td>318.43</td>\n",
       "      <td>29.68</td>\n",
       "      <td>8.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>324</th>\n",
       "      <td>492</td>\n",
       "      <td>0.10574</td>\n",
       "      <td>0.0</td>\n",
       "      <td>27.74</td>\n",
       "      <td>0</td>\n",
       "      <td>0.6090</td>\n",
       "      <td>5.983</td>\n",
       "      <td>98.8</td>\n",
       "      <td>1.8681</td>\n",
       "      <td>4</td>\n",
       "      <td>711</td>\n",
       "      <td>20.1</td>\n",
       "      <td>390.11</td>\n",
       "      <td>18.07</td>\n",
       "      <td>13.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>325</th>\n",
       "      <td>493</td>\n",
       "      <td>0.11132</td>\n",
       "      <td>0.0</td>\n",
       "      <td>27.74</td>\n",
       "      <td>0</td>\n",
       "      <td>0.6090</td>\n",
       "      <td>5.983</td>\n",
       "      <td>83.5</td>\n",
       "      <td>2.1099</td>\n",
       "      <td>4</td>\n",
       "      <td>711</td>\n",
       "      <td>20.1</td>\n",
       "      <td>396.90</td>\n",
       "      <td>13.35</td>\n",
       "      <td>20.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>326</th>\n",
       "      <td>494</td>\n",
       "      <td>0.17331</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.69</td>\n",
       "      <td>0</td>\n",
       "      <td>0.5850</td>\n",
       "      <td>5.707</td>\n",
       "      <td>54.0</td>\n",
       "      <td>2.3817</td>\n",
       "      <td>6</td>\n",
       "      <td>391</td>\n",
       "      <td>19.2</td>\n",
       "      <td>396.90</td>\n",
       "      <td>12.01</td>\n",
       "      <td>21.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>327</th>\n",
       "      <td>498</td>\n",
       "      <td>0.26838</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.69</td>\n",
       "      <td>0</td>\n",
       "      <td>0.5850</td>\n",
       "      <td>5.794</td>\n",
       "      <td>70.6</td>\n",
       "      <td>2.8927</td>\n",
       "      <td>6</td>\n",
       "      <td>391</td>\n",
       "      <td>19.2</td>\n",
       "      <td>396.90</td>\n",
       "      <td>14.10</td>\n",
       "      <td>18.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>328</th>\n",
       "      <td>500</td>\n",
       "      <td>0.17783</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.69</td>\n",
       "      <td>0</td>\n",
       "      <td>0.5850</td>\n",
       "      <td>5.569</td>\n",
       "      <td>73.5</td>\n",
       "      <td>2.3999</td>\n",
       "      <td>6</td>\n",
       "      <td>391</td>\n",
       "      <td>19.2</td>\n",
       "      <td>395.77</td>\n",
       "      <td>15.10</td>\n",
       "      <td>17.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>329</th>\n",
       "      <td>502</td>\n",
       "      <td>0.06263</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.93</td>\n",
       "      <td>0</td>\n",
       "      <td>0.5730</td>\n",
       "      <td>6.593</td>\n",
       "      <td>69.1</td>\n",
       "      <td>2.4786</td>\n",
       "      <td>1</td>\n",
       "      <td>273</td>\n",
       "      <td>21.0</td>\n",
       "      <td>391.99</td>\n",
       "      <td>9.67</td>\n",
       "      <td>22.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>330</th>\n",
       "      <td>503</td>\n",
       "      <td>0.04527</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.93</td>\n",
       "      <td>0</td>\n",
       "      <td>0.5730</td>\n",
       "      <td>6.120</td>\n",
       "      <td>76.7</td>\n",
       "      <td>2.2875</td>\n",
       "      <td>1</td>\n",
       "      <td>273</td>\n",
       "      <td>21.0</td>\n",
       "      <td>396.90</td>\n",
       "      <td>9.08</td>\n",
       "      <td>20.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>331</th>\n",
       "      <td>504</td>\n",
       "      <td>0.06076</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.93</td>\n",
       "      <td>0</td>\n",
       "      <td>0.5730</td>\n",
       "      <td>6.976</td>\n",
       "      <td>91.0</td>\n",
       "      <td>2.1675</td>\n",
       "      <td>1</td>\n",
       "      <td>273</td>\n",
       "      <td>21.0</td>\n",
       "      <td>396.90</td>\n",
       "      <td>5.64</td>\n",
       "      <td>23.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>332</th>\n",
       "      <td>506</td>\n",
       "      <td>0.04741</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.93</td>\n",
       "      <td>0</td>\n",
       "      <td>0.5730</td>\n",
       "      <td>6.030</td>\n",
       "      <td>80.8</td>\n",
       "      <td>2.5050</td>\n",
       "      <td>1</td>\n",
       "      <td>273</td>\n",
       "      <td>21.0</td>\n",
       "      <td>396.90</td>\n",
       "      <td>7.88</td>\n",
       "      <td>11.9</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>236 rows × 15 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      ID      crim    zn  indus  chas     nox     rm    age     dis  rad  tax  \\\n",
       "0      1   0.00632  18.0   2.31     0  0.5380  6.575   65.2  4.0900    1  296   \n",
       "1      2   0.02731   0.0   7.07     0  0.4690  6.421   78.9  4.9671    2  242   \n",
       "3      5   0.06905   0.0   2.18     0  0.4580  7.147   54.2  6.0622    3  222   \n",
       "4      7   0.08829  12.5   7.87     0  0.5240  6.012   66.6  5.5605    5  311   \n",
       "5     11   0.22489  12.5   7.87     0  0.5240  6.377   94.3  6.3467    5  311   \n",
       "6     12   0.11747  12.5   7.87     0  0.5240  6.009   82.9  6.2267    5  311   \n",
       "8     14   0.62976   0.0   8.14     0  0.5380  5.949   61.8  4.7075    4  307   \n",
       "9     15   0.63796   0.0   8.14     0  0.5380  6.096   84.5  4.4619    4  307   \n",
       "10    16   0.62739   0.0   8.14     0  0.5380  5.834   56.5  4.4986    4  307   \n",
       "13    21   1.25179   0.0   8.14     0  0.5380  5.570   98.1  3.7979    4  307   \n",
       "14    22   0.85204   0.0   8.14     0  0.5380  5.965   89.2  4.0123    4  307   \n",
       "15    23   1.23247   0.0   8.14     0  0.5380  6.142   91.7  3.9769    4  307   \n",
       "16    24   0.98843   0.0   8.14     0  0.5380  5.813  100.0  4.0952    4  307   \n",
       "17    28   0.95577   0.0   8.14     0  0.5380  6.047   88.8  4.4534    4  307   \n",
       "18    31   1.13081   0.0   8.14     0  0.5380  5.713   94.1  4.2330    4  307   \n",
       "19    32   1.35472   0.0   8.14     0  0.5380  6.072  100.0  4.1750    4  307   \n",
       "20    35   1.61282   0.0   8.14     0  0.5380  6.096   96.9  3.7598    4  307   \n",
       "29    48   0.22927   0.0   6.91     0  0.4480  6.030   85.5  5.6894    3  233   \n",
       "30    50   0.21977   0.0   6.91     0  0.4480  5.602   62.0  6.0877    3  233   \n",
       "32    52   0.04337  21.0   5.64     0  0.4390  6.115   63.0  6.8147    4  243   \n",
       "39    61   0.14932  25.0   5.13     0  0.4530  5.741   66.2  7.2254    8  284   \n",
       "40    62   0.17171  25.0   5.13     0  0.4530  5.966   93.4  6.8185    8  284   \n",
       "42    65   0.01951  17.5   1.38     0  0.4161  7.104   59.5  9.2229    3  216   \n",
       "52    77   0.10153   0.0  12.83     0  0.4370  6.279   74.5  4.0522    5  398   \n",
       "55    82   0.04462  25.0   4.86     0  0.4260  6.619   70.4  5.4007    4  281   \n",
       "58    86   0.05735   0.0   4.49     0  0.4490  6.630   56.1  4.4377    3  247   \n",
       "60    88   0.07151   0.0   4.49     0  0.4490  6.121   56.8  3.7476    3  247   \n",
       "61    89   0.05660   0.0   3.41     0  0.4890  7.007   86.3  3.4217    2  270   \n",
       "62    90   0.05302   0.0   3.41     0  0.4890  7.079   63.1  3.4145    2  270   \n",
       "63    91   0.04684   0.0   3.41     0  0.4890  6.417   66.1  3.0923    2  270   \n",
       "..   ...       ...   ...    ...   ...     ...    ...    ...     ...  ...  ...   \n",
       "300  462   3.69311   0.0  18.10     0  0.7130  6.376   88.4  2.5671   24  666   \n",
       "301  463   6.65492   0.0  18.10     0  0.7130  6.317   83.0  2.7344   24  666   \n",
       "302  464   5.82115   0.0  18.10     0  0.7130  6.513   89.9  2.8016   24  666   \n",
       "303  465   7.83932   0.0  18.10     0  0.6550  6.209   65.4  2.9634   24  666   \n",
       "305  467   3.77498   0.0  18.10     0  0.6550  5.952   84.7  2.8715   24  666   \n",
       "306  468   4.42228   0.0  18.10     0  0.5840  6.003   94.5  2.5403   24  666   \n",
       "307  469  15.57570   0.0  18.10     0  0.5800  5.926   71.0  2.9084   24  666   \n",
       "308  470  13.07510   0.0  18.10     0  0.5800  5.713   56.7  2.8237   24  666   \n",
       "309  472   4.03841   0.0  18.10     0  0.5320  6.229   90.7  3.0993   24  666   \n",
       "310  473   3.56868   0.0  18.10     0  0.5800  6.437   75.0  2.8965   24  666   \n",
       "311  475   8.05579   0.0  18.10     0  0.5840  5.427   95.4  2.4298   24  666   \n",
       "312  477   4.87141   0.0  18.10     0  0.6140  6.484   93.6  2.3053   24  666   \n",
       "313  478  15.02340   0.0  18.10     0  0.6140  5.304   97.3  2.1007   24  666   \n",
       "314  479  10.23300   0.0  18.10     0  0.6140  6.185   96.7  2.1705   24  666   \n",
       "315  480  14.33370   0.0  18.10     0  0.6140  6.229   88.0  1.9512   24  666   \n",
       "316  481   5.82401   0.0  18.10     0  0.5320  6.242   64.7  3.4242   24  666   \n",
       "317  482   5.70818   0.0  18.10     0  0.5320  6.750   74.9  3.3317   24  666   \n",
       "320  487   5.69175   0.0  18.10     0  0.5830  6.114   79.8  3.5459   24  666   \n",
       "321  488   4.83567   0.0  18.10     0  0.5830  5.905   53.2  3.1523   24  666   \n",
       "322  489   0.15086   0.0  27.74     0  0.6090  5.454   92.7  1.8209    4  711   \n",
       "323  491   0.20746   0.0  27.74     0  0.6090  5.093   98.0  1.8226    4  711   \n",
       "324  492   0.10574   0.0  27.74     0  0.6090  5.983   98.8  1.8681    4  711   \n",
       "325  493   0.11132   0.0  27.74     0  0.6090  5.983   83.5  2.1099    4  711   \n",
       "326  494   0.17331   0.0   9.69     0  0.5850  5.707   54.0  2.3817    6  391   \n",
       "327  498   0.26838   0.0   9.69     0  0.5850  5.794   70.6  2.8927    6  391   \n",
       "328  500   0.17783   0.0   9.69     0  0.5850  5.569   73.5  2.3999    6  391   \n",
       "329  502   0.06263   0.0  11.93     0  0.5730  6.593   69.1  2.4786    1  273   \n",
       "330  503   0.04527   0.0  11.93     0  0.5730  6.120   76.7  2.2875    1  273   \n",
       "331  504   0.06076   0.0  11.93     0  0.5730  6.976   91.0  2.1675    1  273   \n",
       "332  506   0.04741   0.0  11.93     0  0.5730  6.030   80.8  2.5050    1  273   \n",
       "\n",
       "     ptratio   black  lstat  medv  \n",
       "0       15.3  396.90   4.98  24.0  \n",
       "1       17.8  396.90   9.14  21.6  \n",
       "3       18.7  396.90   5.33  36.2  \n",
       "4       15.2  395.60  12.43  22.9  \n",
       "5       15.2  392.52  20.45  15.0  \n",
       "6       15.2  396.90  13.27  18.9  \n",
       "8       21.0  396.90   8.26  20.4  \n",
       "9       21.0  380.02  10.26  18.2  \n",
       "10      21.0  395.62   8.47  19.9  \n",
       "13      21.0  376.57  21.02  13.6  \n",
       "14      21.0  392.53  13.83  19.6  \n",
       "15      21.0  396.90  18.72  15.2  \n",
       "16      21.0  394.54  19.88  14.5  \n",
       "17      21.0  306.38  17.28  14.8  \n",
       "18      21.0  360.17  22.60  12.7  \n",
       "19      21.0  376.73  13.04  14.5  \n",
       "20      21.0  248.31  20.34  13.5  \n",
       "29      17.9  392.74  18.80  16.6  \n",
       "30      17.9  396.90  16.20  19.4  \n",
       "32      16.8  393.97   9.43  20.5  \n",
       "39      19.7  395.11  13.15  18.7  \n",
       "40      19.7  378.08  14.44  16.0  \n",
       "42      18.6  393.24   8.05  33.0  \n",
       "52      18.7  373.66  11.97  20.0  \n",
       "55      19.0  395.63   7.22  23.9  \n",
       "58      18.5  392.30   6.53  26.6  \n",
       "60      18.5  395.15   8.44  22.2  \n",
       "61      17.8  396.90   5.50  23.6  \n",
       "62      17.8  396.06   5.70  28.7  \n",
       "63      17.8  392.18   8.81  22.6  \n",
       "..       ...     ...    ...   ...  \n",
       "300     20.2  391.43  14.65  17.7  \n",
       "301     20.2  396.90  13.99  19.5  \n",
       "302     20.2  393.82  10.29  20.2  \n",
       "303     20.2  396.90  13.22  21.4  \n",
       "305     20.2   22.01  17.15  19.0  \n",
       "306     20.2  331.29  21.32  19.1  \n",
       "307     20.2  368.74  18.13  19.1  \n",
       "308     20.2  396.90  14.76  20.1  \n",
       "309     20.2  395.33  12.87  19.6  \n",
       "310     20.2  393.37  14.36  23.2  \n",
       "311     20.2  352.58  18.14  13.8  \n",
       "312     20.2  396.21  18.68  16.7  \n",
       "313     20.2  349.48  24.91  12.0  \n",
       "314     20.2  379.70  18.03  14.6  \n",
       "315     20.2  383.32  13.11  21.4  \n",
       "316     20.2  396.90  10.74  23.0  \n",
       "317     20.2  393.07   7.74  23.7  \n",
       "320     20.2  392.68  14.98  19.1  \n",
       "321     20.2  388.22  11.45  20.6  \n",
       "322     20.1  395.09  18.06  15.2  \n",
       "323     20.1  318.43  29.68   8.1  \n",
       "324     20.1  390.11  18.07  13.6  \n",
       "325     20.1  396.90  13.35  20.1  \n",
       "326     19.2  396.90  12.01  21.8  \n",
       "327     19.2  396.90  14.10  18.3  \n",
       "328     19.2  395.77  15.10  17.5  \n",
       "329     21.0  391.99   9.67  22.4  \n",
       "330     21.0  396.90   9.08  20.6  \n",
       "331     21.0  396.90   5.64  23.9  \n",
       "332     21.0  396.90   7.88  11.9  \n",
       "\n",
       "[236 rows x 15 columns]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df.age > 50]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ID</th>\n",
       "      <th>crim</th>\n",
       "      <th>zn</th>\n",
       "      <th>indus</th>\n",
       "      <th>chas</th>\n",
       "      <th>nox</th>\n",
       "      <th>rm</th>\n",
       "      <th>age</th>\n",
       "      <th>dis</th>\n",
       "      <th>rad</th>\n",
       "      <th>tax</th>\n",
       "      <th>ptratio</th>\n",
       "      <th>black</th>\n",
       "      <th>lstat</th>\n",
       "      <th>medv</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>0.00632</td>\n",
       "      <td>18.0</td>\n",
       "      <td>2.31</td>\n",
       "      <td>0</td>\n",
       "      <td>0.538</td>\n",
       "      <td>6.575</td>\n",
       "      <td>65.2</td>\n",
       "      <td>4.0900</td>\n",
       "      <td>1</td>\n",
       "      <td>296</td>\n",
       "      <td>15.3</td>\n",
       "      <td>396.90</td>\n",
       "      <td>4.98</td>\n",
       "      <td>24.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>0.02731</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.07</td>\n",
       "      <td>0</td>\n",
       "      <td>0.469</td>\n",
       "      <td>6.421</td>\n",
       "      <td>78.9</td>\n",
       "      <td>4.9671</td>\n",
       "      <td>2</td>\n",
       "      <td>242</td>\n",
       "      <td>17.8</td>\n",
       "      <td>396.90</td>\n",
       "      <td>9.14</td>\n",
       "      <td>21.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>5</td>\n",
       "      <td>0.06905</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.18</td>\n",
       "      <td>0</td>\n",
       "      <td>0.458</td>\n",
       "      <td>7.147</td>\n",
       "      <td>54.2</td>\n",
       "      <td>6.0622</td>\n",
       "      <td>3</td>\n",
       "      <td>222</td>\n",
       "      <td>18.7</td>\n",
       "      <td>396.90</td>\n",
       "      <td>5.33</td>\n",
       "      <td>36.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>7</td>\n",
       "      <td>0.08829</td>\n",
       "      <td>12.5</td>\n",
       "      <td>7.87</td>\n",
       "      <td>0</td>\n",
       "      <td>0.524</td>\n",
       "      <td>6.012</td>\n",
       "      <td>66.6</td>\n",
       "      <td>5.5605</td>\n",
       "      <td>5</td>\n",
       "      <td>311</td>\n",
       "      <td>15.2</td>\n",
       "      <td>395.60</td>\n",
       "      <td>12.43</td>\n",
       "      <td>22.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>11</td>\n",
       "      <td>0.22489</td>\n",
       "      <td>12.5</td>\n",
       "      <td>7.87</td>\n",
       "      <td>0</td>\n",
       "      <td>0.524</td>\n",
       "      <td>6.377</td>\n",
       "      <td>94.3</td>\n",
       "      <td>6.3467</td>\n",
       "      <td>5</td>\n",
       "      <td>311</td>\n",
       "      <td>15.2</td>\n",
       "      <td>392.52</td>\n",
       "      <td>20.45</td>\n",
       "      <td>15.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>12</td>\n",
       "      <td>0.11747</td>\n",
       "      <td>12.5</td>\n",
       "      <td>7.87</td>\n",
       "      <td>0</td>\n",
       "      <td>0.524</td>\n",
       "      <td>6.009</td>\n",
       "      <td>82.9</td>\n",
       "      <td>6.2267</td>\n",
       "      <td>5</td>\n",
       "      <td>311</td>\n",
       "      <td>15.2</td>\n",
       "      <td>396.90</td>\n",
       "      <td>13.27</td>\n",
       "      <td>18.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>14</td>\n",
       "      <td>0.62976</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.14</td>\n",
       "      <td>0</td>\n",
       "      <td>0.538</td>\n",
       "      <td>5.949</td>\n",
       "      <td>61.8</td>\n",
       "      <td>4.7075</td>\n",
       "      <td>4</td>\n",
       "      <td>307</td>\n",
       "      <td>21.0</td>\n",
       "      <td>396.90</td>\n",
       "      <td>8.26</td>\n",
       "      <td>20.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>15</td>\n",
       "      <td>0.63796</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.14</td>\n",
       "      <td>0</td>\n",
       "      <td>0.538</td>\n",
       "      <td>6.096</td>\n",
       "      <td>84.5</td>\n",
       "      <td>4.4619</td>\n",
       "      <td>4</td>\n",
       "      <td>307</td>\n",
       "      <td>21.0</td>\n",
       "      <td>380.02</td>\n",
       "      <td>10.26</td>\n",
       "      <td>18.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>16</td>\n",
       "      <td>0.62739</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.14</td>\n",
       "      <td>0</td>\n",
       "      <td>0.538</td>\n",
       "      <td>5.834</td>\n",
       "      <td>56.5</td>\n",
       "      <td>4.4986</td>\n",
       "      <td>4</td>\n",
       "      <td>307</td>\n",
       "      <td>21.0</td>\n",
       "      <td>395.62</td>\n",
       "      <td>8.47</td>\n",
       "      <td>19.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>21</td>\n",
       "      <td>1.25179</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.14</td>\n",
       "      <td>0</td>\n",
       "      <td>0.538</td>\n",
       "      <td>5.570</td>\n",
       "      <td>98.1</td>\n",
       "      <td>3.7979</td>\n",
       "      <td>4</td>\n",
       "      <td>307</td>\n",
       "      <td>21.0</td>\n",
       "      <td>376.57</td>\n",
       "      <td>21.02</td>\n",
       "      <td>13.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>22</td>\n",
       "      <td>0.85204</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.14</td>\n",
       "      <td>0</td>\n",
       "      <td>0.538</td>\n",
       "      <td>5.965</td>\n",
       "      <td>89.2</td>\n",
       "      <td>4.0123</td>\n",
       "      <td>4</td>\n",
       "      <td>307</td>\n",
       "      <td>21.0</td>\n",
       "      <td>392.53</td>\n",
       "      <td>13.83</td>\n",
       "      <td>19.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>23</td>\n",
       "      <td>1.23247</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.14</td>\n",
       "      <td>0</td>\n",
       "      <td>0.538</td>\n",
       "      <td>6.142</td>\n",
       "      <td>91.7</td>\n",
       "      <td>3.9769</td>\n",
       "      <td>4</td>\n",
       "      <td>307</td>\n",
       "      <td>21.0</td>\n",
       "      <td>396.90</td>\n",
       "      <td>18.72</td>\n",
       "      <td>15.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>24</td>\n",
       "      <td>0.98843</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.14</td>\n",
       "      <td>0</td>\n",
       "      <td>0.538</td>\n",
       "      <td>5.813</td>\n",
       "      <td>100.0</td>\n",
       "      <td>4.0952</td>\n",
       "      <td>4</td>\n",
       "      <td>307</td>\n",
       "      <td>21.0</td>\n",
       "      <td>394.54</td>\n",
       "      <td>19.88</td>\n",
       "      <td>14.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>28</td>\n",
       "      <td>0.95577</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.14</td>\n",
       "      <td>0</td>\n",
       "      <td>0.538</td>\n",
       "      <td>6.047</td>\n",
       "      <td>88.8</td>\n",
       "      <td>4.4534</td>\n",
       "      <td>4</td>\n",
       "      <td>307</td>\n",
       "      <td>21.0</td>\n",
       "      <td>306.38</td>\n",
       "      <td>17.28</td>\n",
       "      <td>14.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>31</td>\n",
       "      <td>1.13081</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.14</td>\n",
       "      <td>0</td>\n",
       "      <td>0.538</td>\n",
       "      <td>5.713</td>\n",
       "      <td>94.1</td>\n",
       "      <td>4.2330</td>\n",
       "      <td>4</td>\n",
       "      <td>307</td>\n",
       "      <td>21.0</td>\n",
       "      <td>360.17</td>\n",
       "      <td>22.60</td>\n",
       "      <td>12.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>32</td>\n",
       "      <td>1.35472</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.14</td>\n",
       "      <td>0</td>\n",
       "      <td>0.538</td>\n",
       "      <td>6.072</td>\n",
       "      <td>100.0</td>\n",
       "      <td>4.1750</td>\n",
       "      <td>4</td>\n",
       "      <td>307</td>\n",
       "      <td>21.0</td>\n",
       "      <td>376.73</td>\n",
       "      <td>13.04</td>\n",
       "      <td>14.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>35</td>\n",
       "      <td>1.61282</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.14</td>\n",
       "      <td>0</td>\n",
       "      <td>0.538</td>\n",
       "      <td>6.096</td>\n",
       "      <td>96.9</td>\n",
       "      <td>3.7598</td>\n",
       "      <td>4</td>\n",
       "      <td>307</td>\n",
       "      <td>21.0</td>\n",
       "      <td>248.31</td>\n",
       "      <td>20.34</td>\n",
       "      <td>13.5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    ID     crim    zn  indus  chas    nox     rm    age     dis  rad  tax  \\\n",
       "0    1  0.00632  18.0   2.31     0  0.538  6.575   65.2  4.0900    1  296   \n",
       "1    2  0.02731   0.0   7.07     0  0.469  6.421   78.9  4.9671    2  242   \n",
       "3    5  0.06905   0.0   2.18     0  0.458  7.147   54.2  6.0622    3  222   \n",
       "4    7  0.08829  12.5   7.87     0  0.524  6.012   66.6  5.5605    5  311   \n",
       "5   11  0.22489  12.5   7.87     0  0.524  6.377   94.3  6.3467    5  311   \n",
       "6   12  0.11747  12.5   7.87     0  0.524  6.009   82.9  6.2267    5  311   \n",
       "8   14  0.62976   0.0   8.14     0  0.538  5.949   61.8  4.7075    4  307   \n",
       "9   15  0.63796   0.0   8.14     0  0.538  6.096   84.5  4.4619    4  307   \n",
       "10  16  0.62739   0.0   8.14     0  0.538  5.834   56.5  4.4986    4  307   \n",
       "13  21  1.25179   0.0   8.14     0  0.538  5.570   98.1  3.7979    4  307   \n",
       "14  22  0.85204   0.0   8.14     0  0.538  5.965   89.2  4.0123    4  307   \n",
       "15  23  1.23247   0.0   8.14     0  0.538  6.142   91.7  3.9769    4  307   \n",
       "16  24  0.98843   0.0   8.14     0  0.538  5.813  100.0  4.0952    4  307   \n",
       "17  28  0.95577   0.0   8.14     0  0.538  6.047   88.8  4.4534    4  307   \n",
       "18  31  1.13081   0.0   8.14     0  0.538  5.713   94.1  4.2330    4  307   \n",
       "19  32  1.35472   0.0   8.14     0  0.538  6.072  100.0  4.1750    4  307   \n",
       "20  35  1.61282   0.0   8.14     0  0.538  6.096   96.9  3.7598    4  307   \n",
       "\n",
       "    ptratio   black  lstat  medv  \n",
       "0      15.3  396.90   4.98  24.0  \n",
       "1      17.8  396.90   9.14  21.6  \n",
       "3      18.7  396.90   5.33  36.2  \n",
       "4      15.2  395.60  12.43  22.9  \n",
       "5      15.2  392.52  20.45  15.0  \n",
       "6      15.2  396.90  13.27  18.9  \n",
       "8      21.0  396.90   8.26  20.4  \n",
       "9      21.0  380.02  10.26  18.2  \n",
       "10     21.0  395.62   8.47  19.9  \n",
       "13     21.0  376.57  21.02  13.6  \n",
       "14     21.0  392.53  13.83  19.6  \n",
       "15     21.0  396.90  18.72  15.2  \n",
       "16     21.0  394.54  19.88  14.5  \n",
       "17     21.0  306.38  17.28  14.8  \n",
       "18     21.0  360.17  22.60  12.7  \n",
       "19     21.0  376.73  13.04  14.5  \n",
       "20     21.0  248.31  20.34  13.5  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[(df.age > 50) & (df.ID < 40)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df[\"age\"] = df[\"age\"].astype(int)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       65\n",
       "1       78\n",
       "2       45\n",
       "3       54\n",
       "4       66\n",
       "5       94\n",
       "6       82\n",
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       "28      33\n",
       "29      85\n",
       "      ... \n",
       "303     65\n",
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       "311     95\n",
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       "314     96\n",
       "315     88\n",
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       "318     40\n",
       "319     41\n",
       "320     79\n",
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       "322     92\n",
       "323     98\n",
       "324     98\n",
       "325     83\n",
       "326     54\n",
       "327     70\n",
       "328     73\n",
       "329     69\n",
       "330     76\n",
       "331     91\n",
       "332     80\n",
       "Name: age, dtype: int64"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[\"age\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df[\"age\"] = df[\"age\"].astype(int)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0      False\n",
       "1      False\n",
       "2      False\n",
       "3      False\n",
       "4      False\n",
       "5      False\n",
       "6      False\n",
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       "10     False\n",
       "11     False\n",
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       "14     False\n",
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       "19     False\n",
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       "22     False\n",
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       "26     False\n",
       "27     False\n",
       "28     False\n",
       "29     False\n",
       "       ...  \n",
       "303    False\n",
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       "305    False\n",
       "306    False\n",
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       "308    False\n",
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       "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",
       "330    False\n",
       "331    False\n",
       "332    False\n",
       "Name: age, dtype: bool"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[\"age\"].isnull()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ID</th>\n",
       "      <th>crim</th>\n",
       "      <th>zn</th>\n",
       "      <th>indus</th>\n",
       "      <th>chas</th>\n",
       "      <th>nox</th>\n",
       "      <th>rm</th>\n",
       "      <th>age</th>\n",
       "      <th>dis</th>\n",
       "      <th>rad</th>\n",
       "      <th>tax</th>\n",
       "      <th>ptratio</th>\n",
       "      <th>black</th>\n",
       "      <th>lstat</th>\n",
       "      <th>medv</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>303</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>304</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>305</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>306</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>307</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>308</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>309</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>310</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>311</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>312</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>313</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>314</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>315</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>316</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>317</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>318</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>319</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>320</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>321</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>322</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>323</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>324</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>325</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>326</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>327</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>328</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>329</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>330</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>331</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>332</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>333 rows × 15 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        ID   crim     zn  indus   chas    nox     rm    age    dis    rad  \\\n",
       "0    False  False  False  False  False  False  False  False  False  False   \n",
       "1    False  False  False  False  False  False  False  False  False  False   \n",
       "2    False  False  False  False  False  False  False  False  False  False   \n",
       "3    False  False  False  False  False  False  False  False  False  False   \n",
       "4    False  False  False  False  False  False  False  False  False  False   \n",
       "5    False  False  False  False  False  False  False  False  False  False   \n",
       "6    False  False  False  False  False  False  False  False  False  False   \n",
       "7    False  False  False  False  False  False  False  False  False  False   \n",
       "8    False  False  False  False  False  False  False  False  False  False   \n",
       "9    False  False  False  False  False  False  False  False  False  False   \n",
       "10   False  False  False  False  False  False  False  False  False  False   \n",
       "11   False  False  False  False  False  False  False  False  False  False   \n",
       "12   False  False  False  False  False  False  False  False  False  False   \n",
       "13   False  False  False  False  False  False  False  False  False  False   \n",
       "14   False  False  False  False  False  False  False  False  False  False   \n",
       "15   False  False  False  False  False  False  False  False  False  False   \n",
       "16   False  False  False  False  False  False  False  False  False  False   \n",
       "17   False  False  False  False  False  False  False  False  False  False   \n",
       "18   False  False  False  False  False  False  False  False  False  False   \n",
       "19   False  False  False  False  False  False  False  False  False  False   \n",
       "20   False  False  False  False  False  False  False  False  False  False   \n",
       "21   False  False  False  False  False  False  False  False  False  False   \n",
       "22   False  False  False  False  False  False  False  False  False  False   \n",
       "23   False  False  False  False  False  False  False  False  False  False   \n",
       "24   False  False  False  False  False  False  False  False  False  False   \n",
       "25   False  False  False  False  False  False  False  False  False  False   \n",
       "26   False  False  False  False  False  False  False  False  False  False   \n",
       "27   False  False  False  False  False  False  False  False  False  False   \n",
       "28   False  False  False  False  False  False  False  False  False  False   \n",
       "29   False  False  False  False  False  False  False  False  False  False   \n",
       "..     ...    ...    ...    ...    ...    ...    ...    ...    ...    ...   \n",
       "303  False  False  False  False  False  False  False  False  False  False   \n",
       "304  False  False  False  False  False  False  False  False  False  False   \n",
       "305  False  False  False  False  False  False  False  False  False  False   \n",
       "306  False  False  False  False  False  False  False  False  False  False   \n",
       "307  False  False  False  False  False  False  False  False  False  False   \n",
       "308  False  False  False  False  False  False  False  False  False  False   \n",
       "309  False  False  False  False  False  False  False  False  False  False   \n",
       "310  False  False  False  False  False  False  False  False  False  False   \n",
       "311  False  False  False  False  False  False  False  False  False  False   \n",
       "312  False  False  False  False  False  False  False  False  False  False   \n",
       "313  False  False  False  False  False  False  False  False  False  False   \n",
       "314  False  False  False  False  False  False  False  False  False  False   \n",
       "315  False  False  False  False  False  False  False  False  False  False   \n",
       "316  False  False  False  False  False  False  False  False  False  False   \n",
       "317  False  False  False  False  False  False  False  False  False  False   \n",
       "318  False  False  False  False  False  False  False  False  False  False   \n",
       "319  False  False  False  False  False  False  False  False  False  False   \n",
       "320  False  False  False  False  False  False  False  False  False  False   \n",
       "321  False  False  False  False  False  False  False  False  False  False   \n",
       "322  False  False  False  False  False  False  False  False  False  False   \n",
       "323  False  False  False  False  False  False  False  False  False  False   \n",
       "324  False  False  False  False  False  False  False  False  False  False   \n",
       "325  False  False  False  False  False  False  False  False  False  False   \n",
       "326  False  False  False  False  False  False  False  False  False  False   \n",
       "327  False  False  False  False  False  False  False  False  False  False   \n",
       "328  False  False  False  False  False  False  False  False  False  False   \n",
       "329  False  False  False  False  False  False  False  False  False  False   \n",
       "330  False  False  False  False  False  False  False  False  False  False   \n",
       "331  False  False  False  False  False  False  False  False  False  False   \n",
       "332  False  False  False  False  False  False  False  False  False  False   \n",
       "\n",
       "       tax ptratio  black  lstat   medv  \n",
       "0    False   False  False  False  False  \n",
       "1    False   False  False  False  False  \n",
       "2    False   False  False  False  False  \n",
       "3    False   False  False  False  False  \n",
       "4    False   False  False  False  False  \n",
       "5    False   False  False  False  False  \n",
       "6    False   False  False  False  False  \n",
       "7    False   False  False  False  False  \n",
       "8    False   False  False  False  False  \n",
       "9    False   False  False  False  False  \n",
       "10   False   False  False  False  False  \n",
       "11   False   False  False  False  False  \n",
       "12   False   False  False  False  False  \n",
       "13   False   False  False  False  False  \n",
       "14   False   False  False  False  False  \n",
       "15   False   False  False  False  False  \n",
       "16   False   False  False  False  False  \n",
       "17   False   False  False  False  False  \n",
       "18   False   False  False  False  False  \n",
       "19   False   False  False  False  False  \n",
       "20   False   False  False  False  False  \n",
       "21   False   False  False  False  False  \n",
       "22   False   False  False  False  False  \n",
       "23   False   False  False  False  False  \n",
       "24   False   False  False  False  False  \n",
       "25   False   False  False  False  False  \n",
       "26   False   False  False  False  False  \n",
       "27   False   False  False  False  False  \n",
       "28   False   False  False  False  False  \n",
       "29   False   False  False  False  False  \n",
       "..     ...     ...    ...    ...    ...  \n",
       "303  False   False  False  False  False  \n",
       "304  False   False  False  False  False  \n",
       "305  False   False  False  False  False  \n",
       "306  False   False  False  False  False  \n",
       "307  False   False  False  False  False  \n",
       "308  False   False  False  False  False  \n",
       "309  False   False  False  False  False  \n",
       "310  False   False  False  False  False  \n",
       "311  False   False  False  False  False  \n",
       "312  False   False  False  False  False  \n",
       "313  False   False  False  False  False  \n",
       "314  False   False  False  False  False  \n",
       "315  False   False  False  False  False  \n",
       "316  False   False  False  False  False  \n",
       "317  False   False  False  False  False  \n",
       "318  False   False  False  False  False  \n",
       "319  False   False  False  False  False  \n",
       "320  False   False  False  False  False  \n",
       "321  False   False  False  False  False  \n",
       "322  False   False  False  False  False  \n",
       "323  False   False  False  False  False  \n",
       "324  False   False  False  False  False  \n",
       "325  False   False  False  False  False  \n",
       "326  False   False  False  False  False  \n",
       "327  False   False  False  False  False  \n",
       "328  False   False  False  False  False  \n",
       "329  False   False  False  False  False  \n",
       "330  False   False  False  False  False  \n",
       "331  False   False  False  False  False  \n",
       "332  False   False  False  False  False  \n",
       "\n",
       "[333 rows x 15 columns]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[\"age\"].isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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89CtpHjPLY27VmZlKYJEo3MqVK+seoXHMLI+5VWdmKoFFQpIkZbNISJKkbBaJwnXf516n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\nJEnKZpGQJEnZLBKSJCnb/wfu6dWvLUT+2AAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ff7c65aa6d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.age.hist()\n",
    "plt.show() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7ff7bfc6af50>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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HqitSr0XKAsrTVBokEtmwYUPqEkoVLY9UV6Rei5QFlKepNEgksmrVqtQllCpa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\niBSmQUJEREQK+/+bYdAJgdo1IgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ff7c2213cd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.black.hist(bins=np.arange(0, 1000, 100))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x7ff7bf589e50>"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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c4jd/89bUZ6lLKmtlK+6881Pl/1X6014cL+TdwMf4kz/547MbJ3llA8xahsBK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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ff7bfb82f10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(df.ID, df.age)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   ID     crim    zn  indus  chas    nox     rm     dis  rad  tax  ptratio  \\\n",
      "0   1  0.00632  18.0   2.31     0  0.538  6.575  4.0900    1  296     15.3   \n",
      "1   2  0.02731   0.0   7.07     0  0.469  6.421  4.9671    2  242     17.8   \n",
      "2   4  0.03237   0.0   2.18     0  0.458  6.998  6.0622    3  222     18.7   \n",
      "3   5  0.06905   0.0   2.18     0  0.458  7.147  6.0622    3  222     18.7   \n",
      "4   7  0.08829  12.5   7.87     0  0.524  6.012  5.5605    5  311     15.2   \n",
      "\n",
      "    black  lstat  medv  \n",
      "0  396.90   4.98  24.0  \n",
      "1  396.90   9.14  21.6  \n",
      "2  394.63   2.94  33.4  \n",
      "3  396.90   5.33  36.2  \n",
      "4  395.60  12.43  22.9  \n"
     ]
    }
   ],
   "source": [
    "target = df[\"medv\"]\n",
    "input_ftrs = df.drop(['age'], axis = 1)\n",
    "print input_ftrs.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "new_col = np.random.randint(1,100, size = df.shape[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([69, 70, 38, 53,  2, 36, 97,  6, 46, 25, 17, 49,  2, 97, 35, 31, 72,\n",
       "       29, 10, 63, 13, 84, 98,  2, 71, 87,  2, 48, 58, 88, 92, 47, 73, 76,\n",
       "       79, 75, 10, 61, 94, 64, 63, 97, 49, 59, 16, 54, 37, 31, 73, 97, 76,\n",
       "       69, 77, 65, 50, 83, 36, 92, 80, 23, 29, 20, 41, 62, 51,  8, 93, 70,\n",
       "        5, 31, 38, 65, 35,  1, 10, 82,  6, 96, 34, 45, 36, 90, 13, 18, 86,\n",
       "       11, 39, 43, 26, 15, 95, 88, 57, 89, 31, 90, 37, 43, 67, 96, 23,  8,\n",
       "       74, 94, 33, 70, 18, 97, 33, 71, 14, 96,  5, 41, 76, 19,  5, 82, 60,\n",
       "       34, 30, 97, 94, 14, 31, 97, 18, 27, 83, 49, 83, 96, 81, 27, 56, 79,\n",
       "       83, 23, 71, 75, 10, 51, 64, 41, 39, 81, 74, 18, 73, 84, 15, 34, 93,\n",
       "       82, 38, 78, 93, 61, 90, 24, 46, 47, 33, 31, 70, 90, 87, 35, 70, 87,\n",
       "       66, 37, 84, 24,  7, 37, 17, 39, 29, 62, 13, 92, 70, 20, 77, 84, 56,\n",
       "       25, 49, 86, 77, 36, 45, 50, 72, 76, 40, 79, 60, 72, 68, 92, 63, 91,\n",
       "        1, 37, 70, 59, 79, 44, 82, 35, 93,  3, 66, 88, 80, 21, 66, 33, 57,\n",
       "        4, 22, 49, 36, 21, 52,  3, 18, 70, 89, 74, 71, 84, 72, 41,  1,  4,\n",
       "       32, 73, 63, 79, 44, 14, 96, 53, 30, 17, 21, 45,  7, 60, 38, 69, 68,\n",
       "       39, 20,  7, 16, 90, 86, 23, 82, 57, 16, 30, 30, 10, 77, 84, 36, 40,\n",
       "       41, 50,  3, 18, 92,  9, 23, 83, 65, 39, 14, 79, 56, 40, 84,  2, 78,\n",
       "        8, 52, 25, 20, 16, 76, 46, 48, 66, 39,  7, 37, 18, 75,  4, 77, 97,\n",
       "       52, 22,  4, 79, 48, 72, 66, 71, 14, 34, 90, 14, 35, 94, 23, 34, 56,\n",
       "        8, 77, 69, 20, 27, 64, 46, 92, 75, 77])"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_col"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "df[\"new_col\"] = new_col"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def odd_even(x):\n",
    "    if (x%2) == 0:\n",
    "        return \"even\"\n",
    "    else:\n",
    "        return \"odd\"\n",
    "df[\"new_col\"] = df[\"new_col\"].apply(odd_even)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       odd\n",
       "1      even\n",
       "2      even\n",
       "3       odd\n",
       "4      even\n",
       "5      even\n",
       "6       odd\n",
       "7      even\n",
       "8      even\n",
       "9       odd\n",
       "10      odd\n",
       "11      odd\n",
       "12     even\n",
       "13      odd\n",
       "14      odd\n",
       "15      odd\n",
       "16     even\n",
       "17      odd\n",
       "18     even\n",
       "19      odd\n",
       "20      odd\n",
       "21     even\n",
       "22     even\n",
       "23     even\n",
       "24      odd\n",
       "25      odd\n",
       "26     even\n",
       "27     even\n",
       "28     even\n",
       "29     even\n",
       "       ... \n",
       "303    even\n",
       "304     odd\n",
       "305     odd\n",
       "306    even\n",
       "307    even\n",
       "308    even\n",
       "309     odd\n",
       "310    even\n",
       "311    even\n",
       "312    even\n",
       "313     odd\n",
       "314    even\n",
       "315    even\n",
       "316    even\n",
       "317    even\n",
       "318     odd\n",
       "319    even\n",
       "320     odd\n",
       "321    even\n",
       "322    even\n",
       "323    even\n",
       "324     odd\n",
       "325     odd\n",
       "326    even\n",
       "327     odd\n",
       "328    even\n",
       "329    even\n",
       "330    even\n",
       "331     odd\n",
       "332     odd\n",
       "Name: new_col, dtype: object"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.new_col"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "df[\"new_col\"] = df[\"new_col\"].map({\"even\": 0, \"odd\": 1})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0      1\n",
       "1      0\n",
       "2      0\n",
       "3      1\n",
       "4      0\n",
       "5      0\n",
       "6      1\n",
       "7      0\n",
       "8      0\n",
       "9      1\n",
       "10     1\n",
       "11     1\n",
       "12     0\n",
       "13     1\n",
       "14     1\n",
       "15     1\n",
       "16     0\n",
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       "18     0\n",
       "19     1\n",
       "20     1\n",
       "21     0\n",
       "22     0\n",
       "23     0\n",
       "24     1\n",
       "25     1\n",
       "26     0\n",
       "27     0\n",
       "28     0\n",
       "29     0\n",
       "      ..\n",
       "303    0\n",
       "304    1\n",
       "305    1\n",
       "306    0\n",
       "307    0\n",
       "308    0\n",
       "309    1\n",
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       "311    0\n",
       "312    0\n",
       "313    1\n",
       "314    0\n",
       "315    0\n",
       "316    0\n",
       "317    0\n",
       "318    1\n",
       "319    0\n",
       "320    1\n",
       "321    0\n",
       "322    0\n",
       "323    0\n",
       "324    1\n",
       "325    1\n",
       "326    0\n",
       "327    1\n",
       "328    0\n",
       "329    0\n",
       "330    0\n",
       "331    1\n",
       "332    1\n",
       "Name: new_col, dtype: int64"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.new_col\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([69, 70, 38, 53,  2, 36, 97,  6, 46, 25, 17, 49,  2, 97, 35, 31, 72,\n",
       "       29, 10, 63, 13, 84, 98,  2, 71, 87,  2, 48, 58, 88, 92, 47, 73, 76,\n",
       "       79, 75, 10, 61, 94, 64, 63, 97, 49, 59, 16, 54, 37, 31, 73, 97, 76,\n",
       "       69, 77, 65, 50, 83, 36, 92, 80, 23, 29, 20, 41, 62, 51,  8, 93, 70,\n",
       "        5, 31, 38, 65, 35,  1, 10, 82,  6, 96, 34, 45, 36, 90, 13, 18, 86,\n",
       "       11, 39, 43, 26, 15, 95, 88, 57, 89, 31, 90, 37, 43, 67, 96, 23,  8,\n",
       "       74, 94, 33, 70, 18, 97, 33, 71, 14, 96,  5, 41, 76, 19,  5, 82, 60,\n",
       "       34, 30, 97, 94, 14, 31, 97, 18, 27, 83, 49, 83, 96, 81, 27, 56, 79,\n",
       "       83, 23, 71, 75, 10, 51, 64, 41, 39, 81, 74, 18, 73, 84, 15, 34, 93,\n",
       "       82, 38, 78, 93, 61, 90, 24, 46, 47, 33, 31, 70, 90, 87, 35, 70, 87,\n",
       "       66, 37, 84, 24,  7, 37, 17, 39, 29, 62, 13, 92, 70, 20, 77, 84, 56,\n",
       "       25, 49, 86, 77, 36, 45, 50, 72, 76, 40, 79, 60, 72, 68, 92, 63, 91,\n",
       "        1, 37, 70, 59, 79, 44, 82, 35, 93,  3, 66, 88, 80, 21, 66, 33, 57,\n",
       "        4, 22, 49, 36, 21, 52,  3, 18, 70, 89, 74, 71, 84, 72, 41,  1,  4,\n",
       "       32, 73, 63, 79, 44, 14, 96, 53, 30, 17, 21, 45,  7, 60, 38, 69, 68,\n",
       "       39, 20,  7, 16, 90, 86, 23, 82, 57, 16, 30, 30, 10, 77, 84, 36, 40,\n",
       "       41, 50,  3, 18, 92,  9, 23, 83, 65, 39, 14, 79, 56, 40, 84,  2, 78,\n",
       "        8, 52, 25, 20, 16, 76, 46, 48, 66, 39,  7, 37, 18, 75,  4, 77, 97,\n",
       "       52, 22,  4, 79, 48, 72, 66, 71, 14, 34, 90, 14, 35, 94, 23, 34, 56,\n",
       "        8, 77, 69, 20, 27, 64, 46, 92, 75, 77])"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_col"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "new_col2 = (new_col).astype(float)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "mask = [2,13,4,9]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "new_col2[np.asarray(mask)] = np.nan"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 69.,  70.,  nan,  53.,  nan,  36.,  97.,   6.,  46.,  nan,  17.,\n",
       "        49.,   2.,  nan,  35.,  31.,  72.,  29.,  10.,  63.,  13.,  84.,\n",
       "        98.,   2.,  71.,  87.,   2.,  48.,  58.,  88.,  92.,  47.,  73.,\n",
       "        76.,  79.,  75.,  10.,  61.,  94.,  64.,  63.,  97.,  49.,  59.,\n",
       "        16.,  54.,  37.,  31.,  73.,  97.,  76.,  69.,  77.,  65.,  50.,\n",
       "        83.,  36.,  92.,  80.,  23.,  29.,  20.,  41.,  62.,  51.,   8.,\n",
       "        93.,  70.,   5.,  31.,  38.,  65.,  35.,   1.,  10.,  82.,   6.,\n",
       "        96.,  34.,  45.,  36.,  90.,  13.,  18.,  86.,  11.,  39.,  43.,\n",
       "        26.,  15.,  95.,  88.,  57.,  89.,  31.,  90.,  37.,  43.,  67.,\n",
       "        96.,  23.,   8.,  74.,  94.,  33.,  70.,  18.,  97.,  33.,  71.,\n",
       "        14.,  96.,   5.,  41.,  76.,  19.,   5.,  82.,  60.,  34.,  30.,\n",
       "        97.,  94.,  14.,  31.,  97.,  18.,  27.,  83.,  49.,  83.,  96.,\n",
       "        81.,  27.,  56.,  79.,  83.,  23.,  71.,  75.,  10.,  51.,  64.,\n",
       "        41.,  39.,  81.,  74.,  18.,  73.,  84.,  15.,  34.,  93.,  82.,\n",
       "        38.,  78.,  93.,  61.,  90.,  24.,  46.,  47.,  33.,  31.,  70.,\n",
       "        90.,  87.,  35.,  70.,  87.,  66.,  37.,  84.,  24.,   7.,  37.,\n",
       "        17.,  39.,  29.,  62.,  13.,  92.,  70.,  20.,  77.,  84.,  56.,\n",
       "        25.,  49.,  86.,  77.,  36.,  45.,  50.,  72.,  76.,  40.,  79.,\n",
       "        60.,  72.,  68.,  92.,  63.,  91.,   1.,  37.,  70.,  59.,  79.,\n",
       "        44.,  82.,  35.,  93.,   3.,  66.,  88.,  80.,  21.,  66.,  33.,\n",
       "        57.,   4.,  22.,  49.,  36.,  21.,  52.,   3.,  18.,  70.,  89.,\n",
       "        74.,  71.,  84.,  72.,  41.,   1.,   4.,  32.,  73.,  63.,  79.,\n",
       "        44.,  14.,  96.,  53.,  30.,  17.,  21.,  45.,   7.,  60.,  38.,\n",
       "        69.,  68.,  39.,  20.,   7.,  16.,  90.,  86.,  23.,  82.,  57.,\n",
       "        16.,  30.,  30.,  10.,  77.,  84.,  36.,  40.,  41.,  50.,   3.,\n",
       "        18.,  92.,   9.,  23.,  83.,  65.,  39.,  14.,  79.,  56.,  40.,\n",
       "        84.,   2.,  78.,   8.,  52.,  25.,  20.,  16.,  76.,  46.,  48.,\n",
       "        66.,  39.,   7.,  37.,  18.,  75.,   4.,  77.,  97.,  52.,  22.,\n",
       "         4.,  79.,  48.,  72.,  66.,  71.,  14.,  34.,  90.,  14.,  35.,\n",
       "        94.,  23.,  34.,  56.,   8.,  77.,  69.,  20.,  27.,  64.,  46.,\n",
       "        92.,  75.,  77.])"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_col2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "df[\"new_col2\"] = new_col2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
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       "      <th>indus</th>\n",
       "      <th>chas</th>\n",
       "      <th>nox</th>\n",
       "      <th>rm</th>\n",
       "      <th>age</th>\n",
       "      <th>dis</th>\n",
       "      <th>rad</th>\n",
       "      <th>tax</th>\n",
       "      <th>ptratio</th>\n",
       "      <th>black</th>\n",
       "      <th>lstat</th>\n",
       "      <th>medv</th>\n",
       "      <th>new_col</th>\n",
       "      <th>new_col2</th>\n",
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       "  </thead>\n",
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       "      <th>0</th>\n",
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       "      <td>False</td>\n",
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       "      <td>False</td>\n",
       "      <td>False</td>\n",
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       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
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       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
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       "      <th>2</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
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       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
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       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
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       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
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       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>303</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>304</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>305</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>306</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>307</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>308</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>309</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>310</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>311</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>312</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>313</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>314</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>315</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>316</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>317</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>318</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>319</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>320</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>321</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>322</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>323</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>324</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>325</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>326</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>327</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>328</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>329</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>330</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>331</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>332</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>333 rows × 17 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        ID   crim     zn  indus   chas    nox     rm    age    dis    rad  \\\n",
       "0    False  False  False  False  False  False  False  False  False  False   \n",
       "1    False  False  False  False  False  False  False  False  False  False   \n",
       "2    False  False  False  False  False  False  False  False  False  False   \n",
       "3    False  False  False  False  False  False  False  False  False  False   \n",
       "4    False  False  False  False  False  False  False  False  False  False   \n",
       "5    False  False  False  False  False  False  False  False  False  False   \n",
       "6    False  False  False  False  False  False  False  False  False  False   \n",
       "7    False  False  False  False  False  False  False  False  False  False   \n",
       "8    False  False  False  False  False  False  False  False  False  False   \n",
       "9    False  False  False  False  False  False  False  False  False  False   \n",
       "10   False  False  False  False  False  False  False  False  False  False   \n",
       "11   False  False  False  False  False  False  False  False  False  False   \n",
       "12   False  False  False  False  False  False  False  False  False  False   \n",
       "13   False  False  False  False  False  False  False  False  False  False   \n",
       "14   False  False  False  False  False  False  False  False  False  False   \n",
       "15   False  False  False  False  False  False  False  False  False  False   \n",
       "16   False  False  False  False  False  False  False  False  False  False   \n",
       "17   False  False  False  False  False  False  False  False  False  False   \n",
       "18   False  False  False  False  False  False  False  False  False  False   \n",
       "19   False  False  False  False  False  False  False  False  False  False   \n",
       "20   False  False  False  False  False  False  False  False  False  False   \n",
       "21   False  False  False  False  False  False  False  False  False  False   \n",
       "22   False  False  False  False  False  False  False  False  False  False   \n",
       "23   False  False  False  False  False  False  False  False  False  False   \n",
       "24   False  False  False  False  False  False  False  False  False  False   \n",
       "25   False  False  False  False  False  False  False  False  False  False   \n",
       "26   False  False  False  False  False  False  False  False  False  False   \n",
       "27   False  False  False  False  False  False  False  False  False  False   \n",
       "28   False  False  False  False  False  False  False  False  False  False   \n",
       "29   False  False  False  False  False  False  False  False  False  False   \n",
       "..     ...    ...    ...    ...    ...    ...    ...    ...    ...    ...   \n",
       "303  False  False  False  False  False  False  False  False  False  False   \n",
       "304  False  False  False  False  False  False  False  False  False  False   \n",
       "305  False  False  False  False  False  False  False  False  False  False   \n",
       "306  False  False  False  False  False  False  False  False  False  False   \n",
       "307  False  False  False  False  False  False  False  False  False  False   \n",
       "308  False  False  False  False  False  False  False  False  False  False   \n",
       "309  False  False  False  False  False  False  False  False  False  False   \n",
       "310  False  False  False  False  False  False  False  False  False  False   \n",
       "311  False  False  False  False  False  False  False  False  False  False   \n",
       "312  False  False  False  False  False  False  False  False  False  False   \n",
       "313  False  False  False  False  False  False  False  False  False  False   \n",
       "314  False  False  False  False  False  False  False  False  False  False   \n",
       "315  False  False  False  False  False  False  False  False  False  False   \n",
       "316  False  False  False  False  False  False  False  False  False  False   \n",
       "317  False  False  False  False  False  False  False  False  False  False   \n",
       "318  False  False  False  False  False  False  False  False  False  False   \n",
       "319  False  False  False  False  False  False  False  False  False  False   \n",
       "320  False  False  False  False  False  False  False  False  False  False   \n",
       "321  False  False  False  False  False  False  False  False  False  False   \n",
       "322  False  False  False  False  False  False  False  False  False  False   \n",
       "323  False  False  False  False  False  False  False  False  False  False   \n",
       "324  False  False  False  False  False  False  False  False  False  False   \n",
       "325  False  False  False  False  False  False  False  False  False  False   \n",
       "326  False  False  False  False  False  False  False  False  False  False   \n",
       "327  False  False  False  False  False  False  False  False  False  False   \n",
       "328  False  False  False  False  False  False  False  False  False  False   \n",
       "329  False  False  False  False  False  False  False  False  False  False   \n",
       "330  False  False  False  False  False  False  False  False  False  False   \n",
       "331  False  False  False  False  False  False  False  False  False  False   \n",
       "332  False  False  False  False  False  False  False  False  False  False   \n",
       "\n",
       "       tax ptratio  black  lstat   medv new_col new_col2  \n",
       "0    False   False  False  False  False   False    False  \n",
       "1    False   False  False  False  False   False    False  \n",
       "2    False   False  False  False  False   False     True  \n",
       "3    False   False  False  False  False   False    False  \n",
       "4    False   False  False  False  False   False     True  \n",
       "5    False   False  False  False  False   False    False  \n",
       "6    False   False  False  False  False   False    False  \n",
       "7    False   False  False  False  False   False    False  \n",
       "8    False   False  False  False  False   False    False  \n",
       "9    False   False  False  False  False   False     True  \n",
       "10   False   False  False  False  False   False    False  \n",
       "11   False   False  False  False  False   False    False  \n",
       "12   False   False  False  False  False   False    False  \n",
       "13   False   False  False  False  False   False     True  \n",
       "14   False   False  False  False  False   False    False  \n",
       "15   False   False  False  False  False   False    False  \n",
       "16   False   False  False  False  False   False    False  \n",
       "17   False   False  False  False  False   False    False  \n",
       "18   False   False  False  False  False   False    False  \n",
       "19   False   False  False  False  False   False    False  \n",
       "20   False   False  False  False  False   False    False  \n",
       "21   False   False  False  False  False   False    False  \n",
       "22   False   False  False  False  False   False    False  \n",
       "23   False   False  False  False  False   False    False  \n",
       "24   False   False  False  False  False   False    False  \n",
       "25   False   False  False  False  False   False    False  \n",
       "26   False   False  False  False  False   False    False  \n",
       "27   False   False  False  False  False   False    False  \n",
       "28   False   False  False  False  False   False    False  \n",
       "29   False   False  False  False  False   False    False  \n",
       "..     ...     ...    ...    ...    ...     ...      ...  \n",
       "303  False   False  False  False  False   False    False  \n",
       "304  False   False  False  False  False   False    False  \n",
       "305  False   False  False  False  False   False    False  \n",
       "306  False   False  False  False  False   False    False  \n",
       "307  False   False  False  False  False   False    False  \n",
       "308  False   False  False  False  False   False    False  \n",
       "309  False   False  False  False  False   False    False  \n",
       "310  False   False  False  False  False   False    False  \n",
       "311  False   False  False  False  False   False    False  \n",
       "312  False   False  False  False  False   False    False  \n",
       "313  False   False  False  False  False   False    False  \n",
       "314  False   False  False  False  False   False    False  \n",
       "315  False   False  False  False  False   False    False  \n",
       "316  False   False  False  False  False   False    False  \n",
       "317  False   False  False  False  False   False    False  \n",
       "318  False   False  False  False  False   False    False  \n",
       "319  False   False  False  False  False   False    False  \n",
       "320  False   False  False  False  False   False    False  \n",
       "321  False   False  False  False  False   False    False  \n",
       "322  False   False  False  False  False   False    False  \n",
       "323  False   False  False  False  False   False    False  \n",
       "324  False   False  False  False  False   False    False  \n",
       "325  False   False  False  False  False   False    False  \n",
       "326  False   False  False  False  False   False    False  \n",
       "327  False   False  False  False  False   False    False  \n",
       "328  False   False  False  False  False   False    False  \n",
       "329  False   False  False  False  False   False    False  \n",
       "330  False   False  False  False  False   False    False  \n",
       "331  False   False  False  False  False   False    False  \n",
       "332  False   False  False  False  False   False    False  \n",
       "\n",
       "[333 rows x 17 columns]"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ID          False\n",
       "crim        False\n",
       "zn          False\n",
       "indus       False\n",
       "chas        False\n",
       "nox         False\n",
       "rm          False\n",
       "age         False\n",
       "dis         False\n",
       "rad         False\n",
       "tax         False\n",
       "ptratio     False\n",
       "black       False\n",
       "lstat       False\n",
       "medv        False\n",
       "new_col     False\n",
       "new_col2     True\n",
       "dtype: bool"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().any()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[\"new_col2\"].isnull().any()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[\"new_col2\"].isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ID</th>\n",
       "      <th>crim</th>\n",
       "      <th>zn</th>\n",
       "      <th>indus</th>\n",
       "      <th>chas</th>\n",
       "      <th>nox</th>\n",
       "      <th>rm</th>\n",
       "      <th>age</th>\n",
       "      <th>dis</th>\n",
       "      <th>rad</th>\n",
       "      <th>tax</th>\n",
       "      <th>ptratio</th>\n",
       "      <th>black</th>\n",
       "      <th>lstat</th>\n",
       "      <th>medv</th>\n",
       "      <th>new_col</th>\n",
       "      <th>new_col2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4</td>\n",
       "      <td>0.03237</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.18</td>\n",
       "      <td>0</td>\n",
       "      <td>0.458</td>\n",
       "      <td>6.998</td>\n",
       "      <td>45</td>\n",
       "      <td>6.0622</td>\n",
       "      <td>3</td>\n",
       "      <td>222</td>\n",
       "      <td>18.7</td>\n",
       "      <td>394.63</td>\n",
       "      <td>2.94</td>\n",
       "      <td>33.4</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>7</td>\n",
       "      <td>0.08829</td>\n",
       "      <td>12.5</td>\n",
       "      <td>7.87</td>\n",
       "      <td>0</td>\n",
       "      <td>0.524</td>\n",
       "      <td>6.012</td>\n",
       "      <td>66</td>\n",
       "      <td>5.5605</td>\n",
       "      <td>5</td>\n",
       "      <td>311</td>\n",
       "      <td>15.2</td>\n",
       "      <td>395.60</td>\n",
       "      <td>12.43</td>\n",
       "      <td>22.9</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>15</td>\n",
       "      <td>0.63796</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.14</td>\n",
       "      <td>0</td>\n",
       "      <td>0.538</td>\n",
       "      <td>6.096</td>\n",
       "      <td>84</td>\n",
       "      <td>4.4619</td>\n",
       "      <td>4</td>\n",
       "      <td>307</td>\n",
       "      <td>21.0</td>\n",
       "      <td>380.02</td>\n",
       "      <td>10.26</td>\n",
       "      <td>18.2</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>21</td>\n",
       "      <td>1.25179</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.14</td>\n",
       "      <td>0</td>\n",
       "      <td>0.538</td>\n",
       "      <td>5.570</td>\n",
       "      <td>98</td>\n",
       "      <td>3.7979</td>\n",
       "      <td>4</td>\n",
       "      <td>307</td>\n",
       "      <td>21.0</td>\n",
       "      <td>376.57</td>\n",
       "      <td>21.02</td>\n",
       "      <td>13.6</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    ID     crim    zn  indus  chas    nox     rm  age     dis  rad  tax  \\\n",
       "2    4  0.03237   0.0   2.18     0  0.458  6.998   45  6.0622    3  222   \n",
       "4    7  0.08829  12.5   7.87     0  0.524  6.012   66  5.5605    5  311   \n",
       "9   15  0.63796   0.0   8.14     0  0.538  6.096   84  4.4619    4  307   \n",
       "13  21  1.25179   0.0   8.14     0  0.538  5.570   98  3.7979    4  307   \n",
       "\n",
       "    ptratio   black  lstat  medv  new_col  new_col2  \n",
       "2      18.7  394.63   2.94  33.4        0       NaN  \n",
       "4      15.2  395.60  12.43  22.9        0       NaN  \n",
       "9      21.0  380.02  10.26  18.2        1       NaN  \n",
       "13     21.0  376.57  21.02  13.6        1       NaN  "
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[(df[\"new_col2\"].isnull())]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "False\n"
     ]
    }
   ],
   "source": [
    "#df.dropna()\n",
    "df[\"new_col2\"].fillna(df[\"new_col2\"].median(), inplace = True)\n",
    "print df[\"new_col2\"].isnull().any()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Indexing and slicing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ID           28.00000\n",
       "crim          0.95577\n",
       "zn            0.00000\n",
       "indus         8.14000\n",
       "chas          0.00000\n",
       "nox           0.53800\n",
       "rm            6.04700\n",
       "age          88.00000\n",
       "dis           4.45340\n",
       "rad           4.00000\n",
       "tax         307.00000\n",
       "ptratio      21.00000\n",
       "black       306.38000\n",
       "lstat        17.28000\n",
       "medv         14.80000\n",
       "new_col       1.00000\n",
       "new_col2     29.00000\n",
       "new_col3      1.00000\n",
       "Name: 3, dtype: float64"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.iloc[3]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "28.0"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.iloc[3][0] "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ID</th>\n",
       "      <th>crim</th>\n",
       "      <th>zn</th>\n",
       "      <th>indus</th>\n",
       "      <th>chas</th>\n",
       "      <th>nox</th>\n",
       "      <th>rm</th>\n",
       "      <th>age</th>\n",
       "      <th>dis</th>\n",
       "      <th>rad</th>\n",
       "      <th>tax</th>\n",
       "      <th>ptratio</th>\n",
       "      <th>black</th>\n",
       "      <th>lstat</th>\n",
       "      <th>medv</th>\n",
       "      <th>new_col</th>\n",
       "      <th>new_col2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>5</td>\n",
       "      <td>0.06905</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.18</td>\n",
       "      <td>0</td>\n",
       "      <td>0.458</td>\n",
       "      <td>7.147</td>\n",
       "      <td>54</td>\n",
       "      <td>6.0622</td>\n",
       "      <td>3</td>\n",
       "      <td>222</td>\n",
       "      <td>18.7</td>\n",
       "      <td>396.90</td>\n",
       "      <td>5.33</td>\n",
       "      <td>36.2</td>\n",
       "      <td>1</td>\n",
       "      <td>53.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>7</td>\n",
       "      <td>0.08829</td>\n",
       "      <td>12.5</td>\n",
       "      <td>7.87</td>\n",
       "      <td>0</td>\n",
       "      <td>0.524</td>\n",
       "      <td>6.012</td>\n",
       "      <td>66</td>\n",
       "      <td>5.5605</td>\n",
       "      <td>5</td>\n",
       "      <td>311</td>\n",
       "      <td>15.2</td>\n",
       "      <td>395.60</td>\n",
       "      <td>12.43</td>\n",
       "      <td>22.9</td>\n",
       "      <td>0</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>11</td>\n",
       "      <td>0.22489</td>\n",
       "      <td>12.5</td>\n",
       "      <td>7.87</td>\n",
       "      <td>0</td>\n",
       "      <td>0.524</td>\n",
       "      <td>6.377</td>\n",
       "      <td>94</td>\n",
       "      <td>6.3467</td>\n",
       "      <td>5</td>\n",
       "      <td>311</td>\n",
       "      <td>15.2</td>\n",
       "      <td>392.52</td>\n",
       "      <td>20.45</td>\n",
       "      <td>15.0</td>\n",
       "      <td>0</td>\n",
       "      <td>36.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   ID     crim    zn  indus  chas    nox     rm  age     dis  rad  tax  \\\n",
       "3   5  0.06905   0.0   2.18     0  0.458  7.147   54  6.0622    3  222   \n",
       "4   7  0.08829  12.5   7.87     0  0.524  6.012   66  5.5605    5  311   \n",
       "5  11  0.22489  12.5   7.87     0  0.524  6.377   94  6.3467    5  311   \n",
       "\n",
       "   ptratio   black  lstat  medv  new_col  new_col2  \n",
       "3     18.7  396.90   5.33  36.2        1      53.0  \n",
       "4     15.2  395.60  12.43  22.9        0      50.0  \n",
       "5     15.2  392.52  20.45  15.0        0      36.0  "
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.iloc[3:6, :]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>chas</th>\n",
       "      <th>nox</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0</td>\n",
       "      <td>0.458</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>0.524</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0</td>\n",
       "      <td>0.524</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   chas    nox\n",
       "3     0  0.458\n",
       "4     0  0.524\n",
       "5     0  0.524"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.iloc[3:6, 4:6]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "5.0\n"
     ]
    }
   ],
   "source": [
    "df.iloc[4,6] = 5\n",
    "print(df.iloc[4,6])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "df[\"new_col3\"] = np.zeros(df.shape[0],)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df.loc[(df[\"age\"] >= 60), \"new_col3\"] = 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>age</th>\n",
       "      <th>new_col3</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>65</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>78</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>45</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>54</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>66</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>94</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>82</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>39</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>61</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>84</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>56</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>29</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>36</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>98</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>89</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>91</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>100</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>88</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>94</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>100</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>96</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>30</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>21</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>15</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>6</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>6</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>40</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>33</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>33</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>85</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>303</th>\n",
       "      <td>65</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>304</th>\n",
       "      <td>48</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>305</th>\n",
       "      <td>84</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>306</th>\n",
       "      <td>94</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>307</th>\n",
       "      <td>71</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>308</th>\n",
       "      <td>56</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>309</th>\n",
       "      <td>90</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>310</th>\n",
       "      <td>75</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>311</th>\n",
       "      <td>95</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>312</th>\n",
       "      <td>93</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>313</th>\n",
       "      <td>97</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>314</th>\n",
       "      <td>96</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>315</th>\n",
       "      <td>88</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>316</th>\n",
       "      <td>64</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>317</th>\n",
       "      <td>74</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>318</th>\n",
       "      <td>40</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>319</th>\n",
       "      <td>41</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>320</th>\n",
       "      <td>79</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>321</th>\n",
       "      <td>53</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>322</th>\n",
       "      <td>92</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>323</th>\n",
       "      <td>98</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>324</th>\n",
       "      <td>98</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>325</th>\n",
       "      <td>83</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>326</th>\n",
       "      <td>54</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>327</th>\n",
       "      <td>70</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>328</th>\n",
       "      <td>73</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>329</th>\n",
       "      <td>69</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>330</th>\n",
       "      <td>76</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>331</th>\n",
       "      <td>91</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>332</th>\n",
       "      <td>80</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>333 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     age  new_col3\n",
       "0     65       1.0\n",
       "1     78       1.0\n",
       "2     45       0.0\n",
       "3     54       0.0\n",
       "4     66       1.0\n",
       "5     94       1.0\n",
       "6     82       1.0\n",
       "7     39       0.0\n",
       "8     61       1.0\n",
       "9     84       1.0\n",
       "10    56       0.0\n",
       "11    29       0.0\n",
       "12    36       0.0\n",
       "13    98       1.0\n",
       "14    89       1.0\n",
       "15    91       1.0\n",
       "16   100       1.0\n",
       "17    88       1.0\n",
       "18    94       1.0\n",
       "19   100       1.0\n",
       "20    96       1.0\n",
       "21    30       0.0\n",
       "22    21       0.0\n",
       "23    15       0.0\n",
       "24     6       0.0\n",
       "25     6       0.0\n",
       "26    40       0.0\n",
       "27    33       0.0\n",
       "28    33       0.0\n",
       "29    85       1.0\n",
       "..   ...       ...\n",
       "303   65       1.0\n",
       "304   48       0.0\n",
       "305   84       1.0\n",
       "306   94       1.0\n",
       "307   71       1.0\n",
       "308   56       0.0\n",
       "309   90       1.0\n",
       "310   75       1.0\n",
       "311   95       1.0\n",
       "312   93       1.0\n",
       "313   97       1.0\n",
       "314   96       1.0\n",
       "315   88       1.0\n",
       "316   64       1.0\n",
       "317   74       1.0\n",
       "318   40       0.0\n",
       "319   41       0.0\n",
       "320   79       1.0\n",
       "321   53       0.0\n",
       "322   92       1.0\n",
       "323   98       1.0\n",
       "324   98       1.0\n",
       "325   83       1.0\n",
       "326   54       0.0\n",
       "327   70       1.0\n",
       "328   73       1.0\n",
       "329   69       1.0\n",
       "330   76       1.0\n",
       "331   91       1.0\n",
       "332   80       1.0\n",
       "\n",
       "[333 rows x 2 columns]"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[[\"age\", \"new_col3\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df = df.sample(frac=1).reset_index(drop=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ID</th>\n",
       "      <th>crim</th>\n",
       "      <th>zn</th>\n",
       "      <th>indus</th>\n",
       "      <th>chas</th>\n",
       "      <th>nox</th>\n",
       "      <th>rm</th>\n",
       "      <th>age</th>\n",
       "      <th>dis</th>\n",
       "      <th>rad</th>\n",
       "      <th>tax</th>\n",
       "      <th>ptratio</th>\n",
       "      <th>black</th>\n",
       "      <th>lstat</th>\n",
       "      <th>medv</th>\n",
       "      <th>new_col</th>\n",
       "      <th>new_col2</th>\n",
       "      <th>new_col3</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>506</td>\n",
       "      <td>0.04741</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.93</td>\n",
       "      <td>0</td>\n",
       "      <td>0.573</td>\n",
       "      <td>6.030</td>\n",
       "      <td>80</td>\n",
       "      <td>2.5050</td>\n",
       "      <td>1</td>\n",
       "      <td>273</td>\n",
       "      <td>21.0</td>\n",
       "      <td>396.90</td>\n",
       "      <td>7.88</td>\n",
       "      <td>11.9</td>\n",
       "      <td>1</td>\n",
       "      <td>77.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>357</td>\n",
       "      <td>8.98296</td>\n",
       "      <td>0.0</td>\n",
       "      <td>18.10</td>\n",
       "      <td>1</td>\n",
       "      <td>0.770</td>\n",
       "      <td>6.212</td>\n",
       "      <td>97</td>\n",
       "      <td>2.1222</td>\n",
       "      <td>24</td>\n",
       "      <td>666</td>\n",
       "      <td>20.2</td>\n",
       "      <td>377.73</td>\n",
       "      <td>17.60</td>\n",
       "      <td>17.8</td>\n",
       "      <td>0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>426</td>\n",
       "      <td>15.86030</td>\n",
       "      <td>0.0</td>\n",
       "      <td>18.10</td>\n",
       "      <td>0</td>\n",
       "      <td>0.679</td>\n",
       "      <td>5.896</td>\n",
       "      <td>95</td>\n",
       "      <td>1.9096</td>\n",
       "      <td>24</td>\n",
       "      <td>666</td>\n",
       "      <td>20.2</td>\n",
       "      <td>7.68</td>\n",
       "      <td>24.39</td>\n",
       "      <td>8.3</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>28</td>\n",
       "      <td>0.95577</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.14</td>\n",
       "      <td>0</td>\n",
       "      <td>0.538</td>\n",
       "      <td>6.047</td>\n",
       "      <td>88</td>\n",
       "      <td>4.4534</td>\n",
       "      <td>4</td>\n",
       "      <td>307</td>\n",
       "      <td>21.0</td>\n",
       "      <td>306.38</td>\n",
       "      <td>17.28</td>\n",
       "      <td>14.8</td>\n",
       "      <td>1</td>\n",
       "      <td>29.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>262</td>\n",
       "      <td>0.53412</td>\n",
       "      <td>20.0</td>\n",
       "      <td>3.97</td>\n",
       "      <td>0</td>\n",
       "      <td>0.647</td>\n",
       "      <td>7.520</td>\n",
       "      <td>89</td>\n",
       "      <td>2.1398</td>\n",
       "      <td>5</td>\n",
       "      <td>264</td>\n",
       "      <td>13.0</td>\n",
       "      <td>388.37</td>\n",
       "      <td>7.26</td>\n",
       "      <td>43.1</td>\n",
       "      <td>1</td>\n",
       "      <td>37.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    ID      crim    zn  indus  chas    nox     rm  age     dis  rad  tax  \\\n",
       "0  506   0.04741   0.0  11.93     0  0.573  6.030   80  2.5050    1  273   \n",
       "1  357   8.98296   0.0  18.10     1  0.770  6.212   97  2.1222   24  666   \n",
       "2  426  15.86030   0.0  18.10     0  0.679  5.896   95  1.9096   24  666   \n",
       "3   28   0.95577   0.0   8.14     0  0.538  6.047   88  4.4534    4  307   \n",
       "4  262   0.53412  20.0   3.97     0  0.647  7.520   89  2.1398    5  264   \n",
       "\n",
       "   ptratio   black  lstat  medv  new_col  new_col2  new_col3  \n",
       "0     21.0  396.90   7.88  11.9        1      77.0       1.0  \n",
       "1     20.2  377.73  17.60  17.8        0      72.0       1.0  \n",
       "2     20.2    7.68  24.39   8.3        1       3.0       1.0  \n",
       "3     21.0  306.38  17.28  14.8        1      29.0       1.0  \n",
       "4     13.0  388.37   7.26  43.1        1      37.0       1.0  "
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
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