2020.09.05 Feige - Loan Prediction Challenge - MN.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Task 1: - Data analysis and ML Classifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib notebook\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "from matplotlib import cm"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data Exploration"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "        text-align: right;\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Loan_ID</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Married</th>\n",
       "      <th>Dependents</th>\n",
       "      <th>Education</th>\n",
       "      <th>Self_Employed</th>\n",
       "      <th>ApplicantIncome</th>\n",
       "      <th>CoapplicantIncome</th>\n",
       "      <th>LoanAmount</th>\n",
       "      <th>Loan_Amount_Term</th>\n",
       "      <th>Credit_History</th>\n",
       "      <th>Property_Area</th>\n",
       "      <th>Loan_Status</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>LP001002</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>0</td>\n",
       "      <td>Graduate</td>\n",
       "      <td>No</td>\n",
       "      <td>5849</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>360.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Urban</td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>LP001003</td>\n",
       "      <td>Male</td>\n",
       "      <td>Yes</td>\n",
       "      <td>1</td>\n",
       "      <td>Graduate</td>\n",
       "      <td>No</td>\n",
       "      <td>4583</td>\n",
       "      <td>1508.0</td>\n",
       "      <td>128.0</td>\n",
       "      <td>360.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Rural</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>LP001005</td>\n",
       "      <td>Male</td>\n",
       "      <td>Yes</td>\n",
       "      <td>0</td>\n",
       "      <td>Graduate</td>\n",
       "      <td>Yes</td>\n",
       "      <td>3000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>360.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Urban</td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>LP001006</td>\n",
       "      <td>Male</td>\n",
       "      <td>Yes</td>\n",
       "      <td>0</td>\n",
       "      <td>Not Graduate</td>\n",
       "      <td>No</td>\n",
       "      <td>2583</td>\n",
       "      <td>2358.0</td>\n",
       "      <td>120.0</td>\n",
       "      <td>360.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Urban</td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>LP001008</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>0</td>\n",
       "      <td>Graduate</td>\n",
       "      <td>No</td>\n",
       "      <td>6000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>141.0</td>\n",
       "      <td>360.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Urban</td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Loan_ID Gender Married Dependents     Education Self_Employed  \\\n",
       "0  LP001002   Male      No          0      Graduate            No   \n",
       "1  LP001003   Male     Yes          1      Graduate            No   \n",
       "2  LP001005   Male     Yes          0      Graduate           Yes   \n",
       "3  LP001006   Male     Yes          0  Not Graduate            No   \n",
       "4  LP001008   Male      No          0      Graduate            No   \n",
       "\n",
       "   ApplicantIncome  CoapplicantIncome  LoanAmount  Loan_Amount_Term  \\\n",
       "0             5849                0.0         NaN             360.0   \n",
       "1             4583             1508.0       128.0             360.0   \n",
       "2             3000                0.0        66.0             360.0   \n",
       "3             2583             2358.0       120.0             360.0   \n",
       "4             6000                0.0       141.0             360.0   \n",
       "\n",
       "   Credit_History Property_Area Loan_Status  \n",
       "0             1.0         Urban           Y  \n",
       "1             1.0         Rural           N  \n",
       "2             1.0         Urban           Y  \n",
       "3             1.0         Urban           Y  \n",
       "4             1.0         Urban           Y  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "loans = pd.read_csv('train.csv')\n",
    "loans.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 614 entries, 0 to 613\n",
      "Data columns (total 13 columns):\n",
      " #   Column             Non-Null Count  Dtype  \n",
      "---  ------             --------------  -----  \n",
      " 0   Loan_ID            614 non-null    object \n",
      " 1   Gender             601 non-null    object \n",
      " 2   Married            611 non-null    object \n",
      " 3   Dependents         599 non-null    object \n",
      " 4   Education          614 non-null    object \n",
      " 5   Self_Employed      582 non-null    object \n",
      " 6   ApplicantIncome    614 non-null    int64  \n",
      " 7   CoapplicantIncome  614 non-null    float64\n",
      " 8   LoanAmount         592 non-null    float64\n",
      " 9   Loan_Amount_Term   600 non-null    float64\n",
      " 10  Credit_History     564 non-null    float64\n",
      " 11  Property_Area      614 non-null    object \n",
      " 12  Loan_Status        614 non-null    object \n",
      "dtypes: float64(4), int64(1), object(8)\n",
      "memory usage: 62.5+ KB\n"
     ]
    }
   ],
   "source": [
    "loans.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Variable Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>Loan_Status</th>\n",
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       "      <th>count</th>\n",
       "      <td>614</td>\n",
       "      <td>601</td>\n",
       "      <td>611</td>\n",
       "      <td>599</td>\n",
       "      <td>614</td>\n",
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       "      <td>614.000000</td>\n",
       "      <td>592.000000</td>\n",
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       "      <td>564.000000</td>\n",
       "      <td>614</td>\n",
       "      <td>614</td>\n",
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       "      <th>unique</th>\n",
       "      <td>614</td>\n",
       "      <td>2</td>\n",
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       "      <td>4</td>\n",
       "      <td>2</td>\n",
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       "      <td>NaN</td>\n",
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       "      <th>top</th>\n",
       "      <td>LP001157</td>\n",
       "      <td>Male</td>\n",
       "      <td>Yes</td>\n",
       "      <td>0</td>\n",
       "      <td>Graduate</td>\n",
       "      <td>No</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Semiurban</td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freq</th>\n",
       "      <td>1</td>\n",
       "      <td>489</td>\n",
       "      <td>398</td>\n",
       "      <td>345</td>\n",
       "      <td>480</td>\n",
       "      <td>500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>233</td>\n",
       "      <td>422</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5403.459283</td>\n",
       "      <td>1621.245798</td>\n",
       "      <td>146.412162</td>\n",
       "      <td>342.00000</td>\n",
       "      <td>0.842199</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6109.041673</td>\n",
       "      <td>2926.248369</td>\n",
       "      <td>85.587325</td>\n",
       "      <td>65.12041</td>\n",
       "      <td>0.364878</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>150.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>12.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2877.500000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>360.00000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3812.500000</td>\n",
       "      <td>1188.500000</td>\n",
       "      <td>128.000000</td>\n",
       "      <td>360.00000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5795.000000</td>\n",
       "      <td>2297.250000</td>\n",
       "      <td>168.000000</td>\n",
       "      <td>360.00000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <th>max</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>81000.000000</td>\n",
       "      <td>41667.000000</td>\n",
       "      <td>700.000000</td>\n",
       "      <td>480.00000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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      "text/plain": [
       "         Loan_ID Gender Married Dependents Education Self_Employed  \\\n",
       "count        614    601     611        599       614           582   \n",
       "unique       614      2       2          4         2             2   \n",
       "top     LP001157   Male     Yes          0  Graduate            No   \n",
       "freq           1    489     398        345       480           500   \n",
       "mean         NaN    NaN     NaN        NaN       NaN           NaN   \n",
       "std          NaN    NaN     NaN        NaN       NaN           NaN   \n",
       "min          NaN    NaN     NaN        NaN       NaN           NaN   \n",
       "25%          NaN    NaN     NaN        NaN       NaN           NaN   \n",
       "50%          NaN    NaN     NaN        NaN       NaN           NaN   \n",
       "75%          NaN    NaN     NaN        NaN       NaN           NaN   \n",
       "max          NaN    NaN     NaN        NaN       NaN           NaN   \n",
       "\n",
       "        ApplicantIncome  CoapplicantIncome  LoanAmount  Loan_Amount_Term  \\\n",
       "count        614.000000         614.000000  592.000000         600.00000   \n",
       "unique              NaN                NaN         NaN               NaN   \n",
       "top                 NaN                NaN         NaN               NaN   \n",
       "freq                NaN                NaN         NaN               NaN   \n",
       "mean        5403.459283        1621.245798  146.412162         342.00000   \n",
       "std         6109.041673        2926.248369   85.587325          65.12041   \n",
       "min          150.000000           0.000000    9.000000          12.00000   \n",
       "25%         2877.500000           0.000000  100.000000         360.00000   \n",
       "50%         3812.500000        1188.500000  128.000000         360.00000   \n",
       "75%         5795.000000        2297.250000  168.000000         360.00000   \n",
       "max        81000.000000       41667.000000  700.000000         480.00000   \n",
       "\n",
       "        Credit_History Property_Area Loan_Status  \n",
       "count       564.000000           614         614  \n",
       "unique             NaN             3           2  \n",
       "top                NaN     Semiurban           Y  \n",
       "freq               NaN           233         422  \n",
       "mean          0.842199           NaN         NaN  \n",
       "std           0.364878           NaN         NaN  \n",
       "min           0.000000           NaN         NaN  \n",
       "25%           1.000000           NaN         NaN  \n",
       "50%           1.000000           NaN         NaN  \n",
       "75%           1.000000           NaN         NaN  \n",
       "max           1.000000           NaN         NaN  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# data exploration\n",
    "loans.describe(include='all')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
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       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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\" width=\"1000\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x1a202cf748>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# eda with discrete variables\n",
    "sns.catplot(x='Loan_Status', col='Gender', kind='count', data=loans)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"1000\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x1a2036d588>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sns.catplot(x='Loan_Status', col='Married', kind='count', data=loans)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"1000\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x1a203242e8>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sns.catplot(x='Loan_Status', col='Education', kind='count', data=loans)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
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     "output_type": "display_data"
    },
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\" width=\"1000\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x1a20d4b320>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sns.catplot(x='Loan_Status', col='Self_Employed', kind='count', data=loans)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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\" width=\"1000\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x1a2118aeb8>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sns.catplot(x='Loan_Status', col='Credit_History', kind='count', data=loans)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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fevDu9D1hkKJYZ3ir3e9y9Qu8782wTV/vXNdX4xS4lyCfJ3h/qiYl/y8viitvqC1NvC1ka83DurEfz2LvU7AH39T+3WGez0Opq7/wcO1JfL1mJ56pv6SdTHcl2TKGAQQQOBnCdDml7LYozZfZ7hXH1Ufba9PCVZfVF/6Vs+grU17HVaox77Vp+Sqx3iY4V4aXWNqbL0pXr1JPce2HmfHcPevDAIIzECAhu5XQ+uUeXkItb+uT3DXJ7X+6OGA2a88HIIr/awvG609b+lqvfn8Kw4eRHkR9RphuNejcT/tsKf/jsPjbGuvX58EX2K41wG40uo6gFeP6n3vw5emlq9Re+/6NHn5BfVs9/c5rLP+m+E+w79iG18jw33jCRLeZgisbUhqAfUYmvrCz9c7CEF98cjfOFpZCVk9t7sM5Tr9XY9WqeeY18mri9drH0651xef1Ins2mSWgV/z1qn36+Kr57XVCfc3PJziOv6dL6O75jh+LtvDgNeXj9Sp7RK5i+e4HY+vL06tzW0J9XXxXHyT+O87bGrrNHxtkOvjbGW6l8FdHw+vd6nruXGfffhy13om3CkN9zrhVo98qefQ1ya/PqpeJv9HHfJxsc7LTUf9/cWnG8oEqGfolslepn19MqH+t15L1sVw38yvu0AQQKAJAdr80i8G26M2X2e4Vx9Tm+46LHDxycD6rpTa0NdzZ6uHqF6jDi08zHCvEq+Ne330vIyIej5sHUSoRwAy3Jv8AyBMBBC4FQEaul8NrU9+lb9Qn/6qPqEOstWbzGWu1wG/i1eZ7nWgr0z4+mRYnXj/a0nqeer1GmG4lybXgbz6NHgdYquDaOVRXDy6re5z1WNwL/qA8h7KWK8Yy7Cvx+JWD1Cv2sPXo+HqQFzFWt9RV4/brcOEDPdb/fPg4hEEGO4jKJoDgdsRuMrEvd2My66uk/QlfnWau05heyGAAAIIIIDA1ZvMc3Ghzeci7T4IIIAAAqciYH97KrLmRQCBNgQY7m1SJdAdEzh3Q1IfL6svTannqT378By3HeO1NAQQQAABBG5MgDbfGJkLEEAAAQQQeIwADVUICCAwPQGG+/QlAMAGCJy7IalnutWXpdTHp+sLQX/iiMFHJ6k/V73qi06XPut9A1iFgAACCCCAwGoCtHk1OhcigAACCExOgIZOXgCWjwACL/22YC8EEEDggkA9a7z+XPWqL1+tZ8d7IYAAAggggMD5CNDm87F2JwQQQACBfRGgofvKp9Ug0IYAw71NqgSKAAIIIIAAAggggAACCCCAAAIIIIAAAgggsGUCDPctZ0dsCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAm0IMNzbpEqgCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAlsmsCfDvdbyhCQvPHwr9pa5iw0BBBBAAIG9EqDHe82sdSGAAAIIdCJAjztlS6wIIIAAArsisCfD/V6S+/fv38+9e/WfXggggAACCCDwMAIv93Ivd4o+gB4rOwQQQAABBG5AgB7fAJahCCCAAAIInIjASD0+xUb7RMt+5LQ2+I9EZAACCCCAAAI/S2BkQ3HElR4rMgQQQAABBG5AgB7fAJahCCCAAAIInIjASD1muJ8oSaZFAAEEEEBg6wRGNhQM961nW3wIIIAAAlslQI+3mhlxIYAAAgjMRGCkHjPcZ6oca0UAAQQQQOCIwMiGguGutBBAAAEEEFhHgB6v4+YqBBBAAAEERhIYqccM95GZMRcCCCCAAAKNCIxsKBjujRIvVAQQQACBTRGgx5tKh2AQQAABBCYlMFKPGe6TFpFlI4AAAgggMLKhYLirJwQQQAABBNYRoMfruLkKAQQQQACBkQRG6jHDfWRmzIUAAggggEAjAiMbCoZ7o8QLFQEEEEBgUwTo8abSIRgEEEAAgUkJjNRjhvukRWTZCCCAAAIIjGwoGO7qCQEEEEAAgXUE6PE6bq5CAAEEEEBgJIGResxwH5kZcyGAAAIIINCIwMiGguHeKPFCRQABBBDYFAF6vKl0CAYBBBBAYFICI/WY4T5pEVk2AggggAACIxsKhrt6QgABBBBAYB0BeryOm6sQQAABBBAYSWCkHjPcR2bGXAgggAACCDQiMLKhYLg3SrxQEUAAAQQ2RYAebyodgkEAAQQQmJTASD1muE9aRJaNAAIIIIDAyIaC4a6eEEAAAQQQWEeAHq/j5ioEEEAAAQRGEhipxwz3kZkxFwIIIIAAAo0IjGwoGO6NEi9UBBBAAIFNEaDHm0qHYBBAAAEEJiUwUo8Z7pMWkWUjgAACCCAwsqFguKsnBBBAAAEE1hGgx+u4uQoBBBBAAIGRBEbqMcN9ZGbMhQACCCCAQCMCIxsKhnujxAsVAQQQQGBTBOjxptIhGAQQQACBSQmM1GOG+6RFZNkIIIAAAgiMbCgY7uoJAQQQQACBdQTo8TpurkIAAQQQQGAkgZF6zHAfmRlzIYAAAggg0IjAyIaC4d4o8UJFAAEEENgUAXq8qXQIBgEEEEBgUgIj9ZjhPmkRWTYCCCCAAAIjGwqGu3pCAAEEEEBgHQF6vI6bqxBAAAEEEBhJYKQeM9xHZsZcCCCAAAIINCIwsqFguDdKvFARQAABBDZFgB5vKh2CQQABBBCYlMBIPWa4T1pElo0AAggggMDIhoLhrp4QQAABBBBYR4Aer+PmKgQQQAABBEYSGKnHDPeRmTEXAggggAACjQiMbCgY7o0SL1QEEEAAgU0R6KrHT336F26Ko2AQGEngP3zy7xs5nbkQQKABgZF6zHBvkHAhIoAAAgggcAoCIxsKhvspMmROBBBAAIEZCHTVY4b7DNU57xoZ7vPm3srnJTBSjxnu89aRlSOAAAIITE5gZEPBcJ+8mCwfAQQQQGA1ga56zHBfnXIXNiDAcG+QJCEiMJjASD1muA9OjukQQAABBBDoQmBkQ8Fw75J1cSKAAAIIbI1AVz1muG+tksQzkgDDfSRNcyHQg8BIPR5luD8tydOTPDXJE5O8R5IvPcL5kmvQ/okkn3z42XcnedKlcZ+Y5CMXpuVekvv379/PvXv1n14IIIAAAggg8DACIxsKhrtaQwABBBBAYB2BrnrMcF+Xb1f1IMBw75EnUSIwksBIPR5luL9TkrdO8twkz7rCcH/tSwBq/OcmeXKS7zwy3OvvPudo7E8kqT9LXgz3JZSMQQABBBBA4EBgZEPBcFdWCCCAAAIIrCPQVY8Z7uvy7aoeBBjuPfIkSgRGEhipx6MM9+P11Wn2yyfcL6+/Tr8/Ick7HP2gTrh/xuHPGl4M9zXUXIMAAgggMC2BkQ0Fw33aMrJwBBBAAIFbEuiqxwz3Wybe5ZsmwHDfdHoEh8BJCIzU47sw3F8ryfOTvG+Sv33JcH9ckldK8rwkf/fwuJmfuYZija0/F68y8J/vkTInqTmTIoAAAgjskMCghoIe77A2LAkBBBBA4HwEuuoxw/18NeJO5yfAcD8/c3dE4K4JDNLjx5ZxF4Z7Pbe9nsv+Okl+6gjmhx0eSfNjSX51kk9I8uwkf+Aa4M9M8ozLP2O433V5uj8CCCCAQBcCgxoKetwl4eJEAAEEENgkga56zHDfZDkJahABhvsgkKZBoBGBQXp8Z4b7f0ryFUk+9BHMf3uSv5fkNZL86BVjnahrVLRCRQABBBDYHoFBDQU93l5qRYQAAggg0IhAVz1muDcqMqHemADD/cbIXIBAewKD9PhODPffkOSrk7x5km94RCZe9/DombdK8pwFWfMM9wWQDEEAAQQQQOCCwMiG4ogqPVZiCCCAAAII3IBAVz1muN8gyYa2I8Bwb5cyASNwawIj9fjcj5T5/CRvmuRXLaDwLkm+LMmTknzvgvE2+AsgGYIAAggggADDXQ0ggAACCCCwHQIjN/jnfAOc4b6dGhLJeAIM9/FMzYjA1gmM1ONRhvvjkzz5AO7rk3x4kq9M8oIjs7wM8e9P8seT/JVLkH9tkjrJXtfcT/KWST49ydclebeFCWG4LwRlGAIIIIAAAkVgZENxzg2+7CGAAAIIILAnAl31mOG+pyq0lssEGO5qAoH5CIzU41GG+9sezPLL2fiCJO93+MsPSvIZSZ54MNWPx75Fks9K8pQk9SzY70nyRUk+KclPLkwxw30hKMMQQAABBBBguKsBBBBAAAEEtkFg5Ab/aEUn3x8z3LdRP6I4DQGG+2m4mhWBLRMYqcejDPct8Dp5Q7GFRYoBAQQQQACBUQRGNhTn3OCPWr95EEAAAQQQ2AKBrnrMcN9C9YjhVAQY7qcia14EtktgpB4z3LebZ5EhgAACCCBwUgIjGwqG+0lTZXIEEEAAgR0T6KrHDPcdF6WlheGuCBCYj8BIPWa4z1c/VowAAggggMBjBEY2FAx3RYUAAggggMA6Al31mOG+Lt+u6kGA4d4jT6JEYCSBkXrMcB+ZGXMhgAACCCDQiMDIhoLh3ijxQkUAAQQQ2BSBrnrMcN9UGQlmMAGG+2CgpkOgAYGResxwb5BwISKAAAIIIHAKAiMbCob7KTJkTgQQQACBGQh01WOG+wzVOe8aGe7z5t7K5yUwUo8Z7vPWkZUjgAACCExOYGRDwXCfvJgsHwEEEEBgNYGuesxwX51yFzYgwHBvkCQhIjCYwEg9ZrgPTo7pEEAAAQQQ6EJgZEPBcO+SdXEigAACCGyNQFc9ZrhvrZLEM5IAw30kTXMh0IPASD1muPfIuSgRQAABBBAYTmBkQ8FwH54eEyKAAAIITEKgqx4z3Ccp0EmXyXCfNPGWPTWBkXrMcJ+6lCweAQQQQGBmAiMbCob7zJVk7QgggAACtyHQVY8Z7rfJumu3ToDhvvUMiQ+B8QRG6jHDfXx+zIgAAggggEALAiMbCoZ7i5QLEgEEEEBggwS66jHDfYPFJKRhBBjuw1CaCIE2BEbqMcO9TdoFigACCCCAwFgCIxsKhvvY3JgNAQQQQGAeAl31mOE+T43OuFKG+4xZt+bZCYzUY4b77NVk/QgggAAC0xIY2VAw3KctIwtHAAEEELglga56zHC/ZeJdvmkCDPdNp0dwCJyEwEg9ZrifJEUmRQABBBBAYPsERjYUDPft51uECCCAAALbJNBVjxnu26wnUY0hwHAfw9EsCHQiMFKPGe6dMi9WBBBAAAEEBhIY2VAw3AcmxlQIIIAAAlMR6KrHDPepynS6xTLcp0u5BSOQkXrMcFdQCCCAAAIITEpgZEPBcJ+0iCwbAQQQQODWBLrqMcP91qk3wYYJMNw3nByhIXAiAiP1mOF+oiSZFgEEEEAAga0TGNlQMNy3nm3xIYAAAghslUBXPWa4b7WixDWCAMN9BEVzINCLwEg9Zrj3yr1oEUAAAQQQGEZgZEPBcB+WFhMhgAACCExGoKseM9wnK9TJlstwnyzhlotA4pEy11TBvST379+/n3v36j+9EEAAAQQQQOBhBLpu8GUVAQQQQACBPRHoqscM9z1VobVcJsBwVxMIzEdgpB474T5f/VgxAggggAACjxEY2VAcIfUGuPpCAAEEEEDgBgS66jHD/QZJNrQdAYZ7u5QJGIFbExipxwz3W6fDBAgggAACCPQkMLKhYLj3rAFRI4AAAgjcPYGuesxwv/vaEcHpCDDcT8fWzAhslcBIPWa4bzXL4kIAAQQQQODEBEY2FAz3EyfL9AgggAACuyXQVY8Z7rstSQtLwnBXBgjMR2CkHjPc56sfK0YAAQQQQOAxAiMbCoa7okIAAQQQQGAdga56zHBfl29X9SDAcO+RJ1EiMJLASD1muI/MjLkQQAABBBBoRGBkQ8Fwb5R4oSKAAAIIbIpAVz1muG+qjAQzmADDfTBQ0yHQgMBIPWa4N0i4EBFAAAEEEDgFgZENBcP9FBkyJwIIIIDADAS66jHDfYbqnHeNDPd5c2/l8xIYqccM93nryMoRQAABBCYnMLKhYLhPXkyWjwACCCCwmkBXPWa4r065CxsQYLg3SJIQERhMYKQeM9wHJ8d0CCCAAAIIdCEwsqFguHfJujgRQAABBLZGoLX+8U0AACAASURBVKseM9y3VkniGUmA4T6SprkQ6EFgpB4z3HvkXJQIIIAAAggMJzCyoWC4D0+PCRFAAAEEJiHQVY8Z7pMU6KTLZLhPmnjLnprASD1muE9dShaPAAIIIDAzgZENBcN95kqydgQQQACB2xDoqscM99tk3bVbJ8Bw33qGxIfAeAIj9ZjhPj4/ZkQAAQQQQKAFgZENBcO9RcoFiQACCCCwQQJd9ZjhvsFiEtIwAgz3YShNhEAbAiP1mOHeJu0CRQABBBBAYCyBkQ0Fw31sbsyGAAIIIDAPga56zHCfp0ZnXCnDfcasW/PsBEbqMcN99mqyfgQQQACBaQmMbCgY7tOWkYUjgAACCNySQFc9ZrjfMvEu3zQBhvum0yM4BE5CYKQeM9xPkiKTIoAAAgggsH0CIxsKhvv28y1CBBBAAIFtEuiqxwz3bdaTqMYQYLiP4WgWBDoRGKnHDPdOmRcrAggggAACAwmMbCgY7gMTYyoEEEAAgakIdNVjhvtUZTrdYhnu06XcghHISD1muCsoBBBAAAEEJiUwsqFguE9aRJaNAAIIIHBrAl31mOF+69SbYMMEGO4bTo7QEDgRgZF6zHA/UZJMiwACCCCAwNYJjGwoGO5bz7b4EEAAAQS2SqCrHjPct1pR4hpBgOE+gqI5EOhFYKQeM9x75V60CCCAAAIIDCMwsqFguA9Li4kQQAABBCYj0FWPGe6TFepky2W4T5Zwy0Ug8UiZa6rgXpL79+/fz7179Z9eCCCAAAIIIPAwAl03+LKKAAIIIIDAngh01WOG+56q0FouE2C4qwkE5iMwUo+dcJ+vfqwYAQQQQACBxwiMbCiOkHoDXH0hgAACCCBwAwJd9ZjhfoMkG9qOAMO9XcoEjMCtCYzUY4b7rdNhAgQQQAABBHoSGNlQMNx71oCoEUAAAQTunkBXPWa4333tiOB0BBjup2NrZgS2SmCkHjPct5plcSGAAAIIIHBiAiMbCob7iZNlegQQQACB3RLoqscM992WpIUlYbgrAwTmIzBSjxnu89WPFSOAAAIIIPAYgZENBcNdUSGAAAIIILCOQFc9Zrivy7erehBguPfIkygRGElgpB4z3EdmxlwIIIAAAgg0IjCyoWC4N0q8UBFAAAEENkWgqx4z3DdVRoIZTIDhPhio6RBoQGCkHjPcGyRciAgggAACCJyCwMiGguF+igyZEwEEEEBgBgJd9ZjhPkN1zrtGhvu8ubfyeQmM1GOG+7x1ZOUIIIAAApMTGNlQMNwnLybLRwABBBBYTaCrHjPcV6fchQ0IMNwbJEmICAwmMFKPRxnuT0vy9CRPTfLEJO+R5EuP1v35Sd73EofnJHmro797XJJPSfK7k7xKkn+R5A8nef5CfveS3L9//37u3av/9EIAAQQQQACBhxEY2VAw3NUaAggggAAC6wh01WOG+7p8u6oHAYZ7jzyJEoGRBEbq8SjD/Z2SvHWS5yZ51jWG+2slef8jED+T5AVH//8vJ3nXJO+X5EeTfGqSVz+Y+C9eAJDhvgCSIQgggAACCFwQGNlQMNzVFQIIIIAAAusIdNVjhvu6fLuqBwGGe488iRKBkQRG6vEow/14fS+5xnB/1STvfg2In5/kh5O8T5IvPox5nSTPS/LOSf7pAoAM9wWQDEEAAQQQQIDhrgYQQAABBBDYDoGRG/yjVZ18f8xw304NiWQ8AYb7eKZmRGDrBEbq8TkN9zLb61T7jyf5V0k+JskPHWC//eERMnWi/ceOEvANh0fTPGNBUk7eUCyIwRAEEEAAAQTaEBjZUJxzg98GsEARQAABBBBYQKCrHjPcFyTXkLYEGO5tUydwBFYTGKnH5zLcf1eSn0jyPUl+SZI/neQVDo+L+ekk753kryep57gfv/5Zku9K8sFX0Kqxx+OfUM979wz31XXlQgQQQACByQgMaijo8WR1Y7kIIIAAAmMJdNVjhvvYOjDbtggw3LeVD9EgcA4Cg/T4sVDPZbhf5lJfrFrm+3sl+fsPMdy/Isl3JPmDV4B9ZpKXOfnOcD9HCboHAggggMAeCAxqKOjxHorBGhBAAAEE7oxAVz1muN9ZybjxGQgw3M8A2S0Q2BiBQXp8p4Z73fzbk/y1JJ+YZM0jZZyo21hhCgcBBBBAoBeBQQ0FPe6VdtEigAACCGyMQFc9ZrhvrJCEM5QAw30oTpMh0ILAID2+U8P9FyT5L0k+KMkXJrn40tTfm+RLDlmoU/DP96WpLWpSkAgggAACDQmMbCiOlu87VRrWgpARQAABBO6OQFc9ZrjfXc248+kJMNxPz9gdENgagZF6POqRMo9P8uQDqK9P8uFJvjLJCw5/6uPmz0ry/Ul+cZI/l+T1k7xRkhcervvLSd4lyfsdrvmUJGXMPzXJixckwQZ/ASRDEEAAAQQQuCAwsqFguKsrBBBAAAEE1hHoqscM93X5dlUPAgz3HnkSJQIjCYzU41GG+9seDPbL6/yCJH8oyZcm+ZVJXvVgupcZ/6eSPO/ogldO8smH57m/SpJ/keQPXxrzMI4M95FVZi4EEEAAgd0TGNlQMNx3Xy4WiAACCCBwIgJd9ZjhfqKCMO0mCDDcN5EGQSBwVgIj9XiU4X5WANfcjOG+hSyIAQEEEECgDYGRDQXDvU3aBYoAAgggsDECXfWY4b6xQhLOUAIM96E4TYZACwIj9Zjh3iLlgkQAAQQQQGA8gZENBcN9fH7MiAACCCAwB4Guesxwn6M+Z10lw33WzFv3zARG6jHDfeZKsnYEEEAAgakJjGwoGO5Tl5LFI4AAAgjcgkBXPWa43yLpLt08AYb75lMkQASGExipxwz34ekxIQIIIIAAAj0IjGwoGO49ci5KBBBAAIHtEeiqxwz37dWSiMYRYLiPY2kmBLoQGKnHDPcuWRcnAggggAACgwmMbCgY7oOTYzoEEEAAgWkIdNVjhvs0JTrlQhnuU6bdoicnMFKPGe6TF5PlI4AAAgjMS2BkQ8Fwn7eOrBwBBBBA4HYEuuoxw/12eXf1tgkw3LedH9EhcAoCI/WY4X6KDJkTAQQQQACBBgRGNhQM9wYJFyICCCCAwCYJdNVjhvsmy0lQgwgw3AeBNA0CjQiM1GOGe6PECxUBBBBAAIGRBEY2FAz3kZkxFwIIIIDATAS66jHDfaYqnW+tDPf5cm7FCIzUY4a7ekIAAQQQQGBSAiMbCob7pEVk2QgggAACtybQVY8Z7rdOvQk2TIDhvuHkCA2BExEYqccM9xMlybQIIIAAAghsncDIhoLhvvVsiw8BBBBAYKsEuuoxw32rFSWuEQQY7iMomgOBXgRG6jHDvVfuRYsAAggggMAwAiMbCob7sLSYCAEEEEBgMgJd9ZjhPlmhTrZchvtkCbdcBJKM1GOGu5JCAAEEEEBgUgIjGwqG+6RFZNkIIIAAArcm0FWPGe63Tr0JNkyA4b7h5AgNgRMRGKnHDPcTJcm0CCCAAAIIbJ3AyIaC4b71bIsPAQQQQGCrBLrqMcN9qxUlrhEEGO4jKJoDgV4ERuoxw71X7kWLAAIIIIDAMAIjGwqG+7C0mAgBBBBAYDICXfWY4T5ZoU62XIb7ZAm3XAQ8UubaGriX5P79+/dz7179pxcCCCCAAAIIPIxA1w2+rCKAAAIIILAnAl31mOG+pyq0lssEGO5qAoH5CIzUYyfc56sfK0YAAQQQQOAxAiMbiiOk3gBXXwgggAACCNyAQFc9ZrjfIMmGtiPAcG+XMgEjcGsCI/WY4X7rdJgAAQQQQACBngRGNhQM9541IGoEEEAAgbsn0FWPGe53XzsiOB0Bhvvp2JoZga0SGKnHDPetZllcCCCAAAIInJjAyIaC4X7iZJkeAQQQQGC3BLrqMcN9tyVpYUkY7soAgfkIjNRjhvt89WPFCCCAAAIIPEZgZEPBcFdUCCCAAAIIrCPQVY8Z7uvy7aoeBBjuPfIkSgRGEhipxwz3kZkxFwIIIIAAAo0IjGwoGO6NEi9UBBBAAIFNEeiqxwz3TZWRYAYTYLgPBmo6BBoQGKnHDPcGCRciAggggAACpyAwsqFguJ8iQ+ZEAAEEEJiBQFc9ZrjPUJ3zrpHhPm/urXxeAiP1mOE+bx1ZOQIIIIDA5ARGNhQM98mLyfIRQAABBFYT6KrHDPfVKXdhAwIM9wZJEiICgwmM1GOG++DkmA4BBBBAAIEuBEY2FAz3LlkXJwIIIIDA1gh01WOG+9YqSTwjCTDcR9I0FwI9CIzUY4Z7j5yLEgEEEEAAgeEERjYUDPfh6TEhAggggMAkBLrqMcN9kgKddJkM90kTb9lTExipxwz3qUvJ4hFAAAEEZiYwsqFguM9cSdaOAAIIIHAbAl31mOF+m6y7dusEGO5bz5D4EBhPYKQeM9zH58eMCCCAAAIItCAwsqFguLdIuSARQAABBDZIoKseM9w3WExCGkaA4T4MpYkQaENgpB4z3NukXaAIIIAAAgiMJTCyoWC4j82N2RBAAAEE5iHQVY8Z7vPU6IwrZbjPmHVrnp3ASD1muM9eTdaPAAIIIDAtgZENBcN92jKycAQQQACBWxLoqscM91sm3uWbJsBw33R6BIfASQiM1GOG+0lSZFIEEEAAAQS2T2BkQ8Fw336+RYgAAgggsE0CXfWY4b7NehLVGAIM9zEczYJAJwIj9Zjh3inzYkUAAQQQQGAggZENBcN9YGJMhQACCCAwFYGuesxwn6pMp1ssw326lFswAhmpxwx3BYUAAggggMCkBEY2FAz3SYvIshFAAAEEbk2gqx4z3G+dehNsmADDfcPJERoCJyIwUo8Z7guTpJlYCMqwtgQ0FG1TJ3AEVhMY2VAw3FenwYUIIIAAApMT6KrH9siTF+7Ol29/vPMEWx4CVxAYqccM94UlpplYCMqwtgQ0FG1TJ3AEVhMY2VAw3FenwYUIIIAAApMT6KrH9siTF+7Ol29/vPMEWx4CDPfFNXAvyf379+/n3r36z7EvzcRYnmbbHgENxfZyIiIETk2g6wb/1FzMjwACCCCAwDkJdNVje+RzVol7nZuA/fG5ibsfAndPYKQeO+G+MJ+aiYWgDGtLQEPRNnUCR2A1gZENxVEQJ30DfPViXYgAAggggMBGCXTVY3vkjRaUsIYQsD8egtEkCLQiMFKPGe4LU6+ZWAjKsLYENBRtUydwBFYTGNlQMNxXp8GFCCCAAAKTE+iqx/bIkxfuzpdvf7zzBFseAlcQGKnHDPeFJaaZWAjKsLYENBRtUydwBFYTGNlQMNxXp8GFCCCAAAKTE+iqx/bIkxfuzpdvf7zzBFseAgz3xTVw0o+wayYW58HApgQ0FE0TJ2wEbkGg6wb/Fkt2KQIIIIAAApsj0FWP7ZE3V0oCGkjA/nggTFMh0ITASD12wn1h0jUTC0EZ1paAhqJt6gSOwGoCIxuKoyBO+gb46sW6EAEEEEAAgY0S6KrH9sgbLShhDSFgfzwEo0kQaEVgpB4z3BemXjOxEJRhbQloKNqmTuAIrCYwsqFguK9OgwsRQAABBCYn0FWP7ZEnL9ydL9/+eOcJtjwEriAwUo8Z7gtLTDOxEJRhbQloKNqmTuAIrCYwsqFguK9OgwsRQAABBCYn0FWP7ZEnL9ydL9/+eOcJtjwEGO6La+CkH2HXTCzOg4FNCWgomiZO2AjcgkDXDf4tluxSBBBAAAEENkegqx7bI2+ulAQ0kID98UCYpkKgCYGReuyE+8KkayYWgjKsLQENRdvUCRyB1QRGNhRHQZz0DfDVi3UhAggggAACGyXQVY/tkTdaUMIaQsD+eAhGkyDQisBIPWa4L0y9ZmIhKMPaEtBQtE2dwBFYTWBkQ8FwX50GFyKAAAIITE6gqx7bI09euDtfvv3xzhNseQhcQWCkHo8y3J+W5OlJnprkiUneI8mXHmJ/xSR/Jsk7J3mDJPeT/PMkH5nk+47W991JnnRpvZ94GLekEE56ok4zsSQFxnQmoKHonD2xI7COwMiGguG+LgeuQgABBBBAoKse2yOr3T0TsD/ec3atDYGrCYzU41GG+zsleeskz03yrEuG+89P8veSfE6Sb0jyakk+I8krJPlVlwz3zz2Mu/jrn0hSf5a8GO5LKBmDwDUENBRKA4H5CIxsKBju89WPFSOAAAIIjCHQVY8Z7mPyb5ZtErA/3mZeRIXAKQmM1ONRhvvxel9yyXC/isVbJvnaw4n27z0MqBPuZcTXnzUvhvsaaq5B4EBAQ6EUEJiPwMiGguE+X/1YMQIIIIDAGAJd9ZjhPib/ZtkmAfvjbeZFVAicksBIPb4rw/0dk/yzJK+a5L8eGe6PS/JKSZ6X5O8m+eQkP7MQJsN9ISjDELiKgIZCXSAwH4GRDQXDfb76sWIEEEAAgTEEuuoxw31M/s2yTQL2x9vMi6gQOCWBkXp8F4b7Kyf510n+U5LfewTqww6PpPmxJL86ySckeXaSP3ANzDLn68/F6wlJnn///v3cu1fe+9iXZmIsT7Ntj4CGYns5ERECpyYwqKE4qx6fmon5EUAAAQQQODeBrnpsj3zuSnG/cxKwPz4nbfdCYBsEBunxY4s5t+FeX6BaJ9dfP8nbHp1uv4rsbz88+/01kvzoFQOemeQZl/+e4b6NIhVFPwIain45EzECtyUwqKE4qx7fds2uRwABBBBAYGsEuuoxw31rlSSekQTsj0fSNBcCPQgM0uOzG+5ltn9JkjdI8vbXmOjHGXjdOrGe5K2SPOeK1Jz1RJ1moscvhyjXE9BQrGfnSgS6EhjUUJxVj7uyFjcCCCCAAALXEeiqx/bIanrPBOyP95xda0PgagKD9PishvuF2f7Lkrxdkh9ekNx3SfJll75Y9WGXeYb7AqiGIHAdAQ2F2kBgPgIjG4ojeifV4/myZMUIIIAAAnsn0FWPGe57r8y512d/PHf+rX5OAiP1eNQjZR6f5MmHdHx9kg9P8pVJXpDk+5I8K8lbJCkT/QeP0lY/ry9F/bWHk+x1zf0kb5nk05N8XZJ3W5jmk27wNRMLs2BYWwIairapEzgCqwmMbCgY7qvT4EIEEEAAgckJdNVje+TJC3fny7c/3nmCLQ+BKwiM1ONRhns9j73M8suvL0hSz3b9rmsyWafdv+pgxn9Wkqccvgj1e5J8UZJPSvKTC6uA4b4QlGEIXEVAQ6EuEJiPwMiGguE+X/1YMQIIIIDAGAJd9ZjhPib/ZtkmAfvjbeZFVAicksBIPR5luJ9yvUvnZrgvJWUcAlcQ0FAoCwTmIzCyoWC4z1c/VowAAgggMIZAVz1muI/Jv1m2ScD+eJt5ERUCpyQwUo8Z7gszpZlYCMqwtgQ0FG1TJ3AEVhMY2VAw3FenwYUIIIAAApMT6KrH9siTF+7Ol29/vPMEWx4CVxAYqccM94UlpplYCMqwtgQ0FG1TJ3AEVhMY2VAw3FenwYUIIIAAApMT6KrH9siTF+7Ol29/vPMEWx4CDPfFNeCRMotRGYjAyxLQUKgKBOYj0HWDP1+mrBgBBBBAYM8Euuoxw33PVWlt9sdqAIH5CIzUYyfcF9aPZmIhKMPaEtBQtE2dwBFYTWBkQ3EUxEnfAF+9WBcigAACCCCwUQJd9dgeeaMFJawhBOyPh2A0CQKtCIzUY4b7wtRrJhaCMqwtAQ1F29QJHIHVBEY2FAz31WlwIQIIIIDA5AS66rE98uSFu/Pl2x/vPMGWh8AVBEbqMcN9YYlpJhaCMqwtAQ1F29QJHIHVBEY2FAz31WlwIQIIIIDA5AS66rE98uSFu/Pl2x/vPMGWhwDDfXENnPQj7JqJxXkwsCkBDUXTxAkbgVsQ6LrBv8WSXYoAAggggMDmCHTVY3vkzZWSgAYSsD8eCNNUCDQhMFKPnXBfmHTNxEJQhrUloKFomzqBI7CawMiG4iiIk74BvnqxLkQAAQQQQGCjBLrqsT3yRgtKWEMI2B8PwWgSBFoRGKnHDPeFqddMLARlWFsCGoq2qRM4AqsJjGwoGO6r0+BCBBBAAIHJCXTVY3vkyQt358u3P955gi0PgSsIjNRjhvvCEtNMLARlWFsCGoq2qRM4AqsJjGwoGO6r0+BCBBBAAIHJCXTVY3vkyQt358u3P955gi0PAYb74ho46UfYNROL82BgUwIaiqaJEzYCtyDQdYN/iyW7FAEEEEAAgc0R6KrH9sibKyUBDSRgfzwQpqkQaEJgpB474b4w6ZqJhaAMa0tAQ9E2dQJHYDWBkQ3FURAnfQN89WJdiAACCCCAwEYJdNVje+SNFpSwhhCwPx6C0SQItCIwUo8Z7gtTr5lYCMqwtgQ0FG1TJ3AEVhMY2VAw3FenwYUIIIAAApMT6KrH9siTF+7Ol29/vPMEWx4CVxAYqccM94UlpplYCMqwtgQ0FG1TJ3AEVhMY2VAw3FenwYUIIIAAApMT6KrH9siTF+7Ol29/vPMEWx4CDPfFNXDSj7BrJhbnwcCmBDQUTRMnbARuQaDrBv8WS3YpAggggAACmyPQVY/tkTdXSgIaSMD+eCBMUyHQhMBIPXbCfWHSNRMLQRnWloCGom3qBI7AagIjG4qjIE76BvjqxboQAQQQQACBjRLoqsf2yBstKGENIWB/PASjSRBoRWCkHjPcF6ZeM7EQlGFtCWgo2qZO4AisJjCyoWC4r06DCxFAAAEEJifQVY/tkScv3J0v3/545wm2PASuIDBSjxnuC0tMM7EQlGFtCWgo2qZO4AisJjCyoWC4r06DCxFAAAEEJifQVY/tkScv3J0v3/545wm2PAQY7otr4KQfYddMLM6DgU0JaCiaJk7YCNyCQNcN/i2W7FIEEEAAAQQ2R6CrHtsjb66UBDSQgP3xQJimQqAJgZF67IT7wqRrJhaCMqwtAQ1F29QJHIHVBEY2FEdBnPQN8NWLdSECCCCAAAIbJdBVj+2RN1pQwhpCwP54CEaTINCKwEg9ZrgvTL1mYiEow9oS0FC0TZ3AEVhNYGRDwXBfnQYXIoAAAghMTqCrHtsjT164O1++/fHOE2x5CFxBYKQeM9wXlphmYiEow9oS0FC0TZ3AEVhNYGRDwXBfnQYXIoAAAghMTqCrHtsjT164O1++/fHOE2x5CDDcF9fAST/CrplYnAcDmxLQUDRNnLARuAWBrhv8WyzZpQgggAACCGyOQFc9tkfeXCkJaCAB++OBME2FQBMCI/XYCfeFSddMLARlWFsCGoq2qRM4AqsJjGwojoI46RvgqxfrQgQQQAABBDZKoKse2yNvtKCENYSA/fEQjCZBoBWBkXrMcF+Yes3EQlCGtSWgoWibOoEjsJrAyIaC4b46DS5EAAEEEJicQFc9tkeevHB3vnz7450n2PIQuILASD1muC8sMc3EQlCGtSWgoWibOoEjsJrAyIaC4b46DS5EAAEEEJicQFc9tkeevHB3vnz7450n2PIQYLgvroGTfoRdM7E4DwY2JaChaJo4YSNwCwIdN/j0+BYJd2kLAvS4RZoEicBQAh31uADQ5KFlYLKNEaDHG0uIcBA4A4GReuyE+8KEaSYWgjKsLQENRdvUCRyB1QRGNhRHQXgDfHVGXIhAQo9VAQLzEeioxwz3+ep0thXT49kybr0IJCP1mOG+sKIY7gtBGdaWgIaibeoEjsBqAiMbCob76jS4EIEHCNBjBYHAfAQ66jHDfb46nW3F9Hi2jFsvAgz362rAiTq/HQjcgoCG4hbwXIpAUwIdN/jeAG9abMJeTIAeL0ZlIAK7IdBRjxnuuyk/C7mGAD1WGgjMR2CkHjvhvrB+bPAXgjKsLQENRdvUCRyB1QRGNhRHQXgDfHVGXIiAR8qoAQRmJNBRjxnuM1bqXGu2P54r31aLQBEYqccM94U1xXBfCMqwtgQ0FG1TJ3AEVhMY2VAw3FenwYUIPECAHisIBOYj0FGPGe7z1elsK6bHs2XcehFguF9XA07U+e1A4BYENBS3gOdSBJoS6LjB9wZ402IT9mIC9HgxKgMR2A2BjnrMcN9N+VnINQTosdJAYD4CI/XYCfeF9WODvxCUYW0JaCjapk7gCKwmMLKhOArCG+CrM+JCBDxSRg0gMCOBjnrMcJ+xUudas/3xXPm2WgSKwEg9ZrgvrCmG+0JQhrUloKFomzqBI7CawMiGguG+Og0uROABAvRYQSAwH4GOesxwn69OZ1sxPZ4t49aLAMP9uhpwos5vBwK3IKChuAU8lyLQlEDHDb43wJsWm7AXE6DHi1EZiMBuCHTUY4b7bsrPQq4hQI+VBgLzERipx064L6wfG/yFoAxrS0BD0TZ1AkdgNYGRDcVREN4AX50RFyLgkTJqAIEZCXTUY4b7jJU615rtj+fKt9UiUARG6jHDfWFNMdwXgjKsLQENRdvUCRyB1QRGNhQM99VpcCECDxCgxwoCgfkIdNRjhvt8dTrbiunxbBm3XgQY7tfVgBN1fjsQuAUBDcUt4LkUgaYEOm7wvQHetNiEvZgAPV6MykAEdkOgox4z3HdTfhZyDQF6rDQQmI/ASD12wn1h/djgLwRlWFsCGoq2qRM4AqsJjGwojoLwBvjqjLgQAY+UUQMIzEigox4z3Ges1LnWbH88V76tFoEiMFKPGe4La4rhvhCUYW0JaCjapk7gCKwmMLKhYLivToMLEXiAAD1WEAjMR6CjHjPc56vT2VZMj2fLuPUiwHC/rgacqPPbgcAtCGgobgHPpQg0JdBxg+8N8KbFJuzFBOjxYlQGIrAbAh31mOG+m/KzkGsI0GOlgcB8BEbqsRPuC+vHBn8hKMPaEtBQtE2dwBFYTWBkQ3EUhDfAV2fEhQh4pIwaQGBGAh31mOE+Y6XOtWb747nybbUIFIGRejzKcH9akqcneWqSJyZ5jyRfepSuus8zknxQkldL8pwkH5Lkm4/G1N9/ZpLfdvi7f5jkQ5P8+MK02+AvBGUYAlcR0FCoCwTmIzCyoWC4z1c/VnwaAvT4NFzNisCWCXTUY4b7litKbCMI0OMRFM2BQC8CI/X4ojAqgAAAIABJREFUKsO9jOsyy9/+BljeKclbJ3lukmddYbh/RJKPSfJ+Sb4tyZ9MUib9GyZ54eE+X57kFx1M+fqrz07y3UnedWEcDPeFoAxDgOGuBhBAoAiMbCgY7moKgTEEbPDHcDQLAp0IdNRjhnunChPrGgL0eA011yDQm8BIPb7KcP+FSf5Lkldciekllwz3usf3JfmMJJ94mPNxSX4wSRnxfzXJGyX5liRvdTj9XsPqv/9tkqck+dYFsTDcF0AyBIHrCGgo1AYC8xEY2VAw3OerHys+DQF6fBquZkVgywQ66jHDfcsVJbYRBOjxCIrmQKAXgZF6XGb4rzha/s9J8luSfHCSX7wSy2XD/Q2SfEeSt0jy9UdzPvvwuJj3TfIBST4tyateumc9TubDkvz1BbEw3BdAMgQBhrsaQACBCwIjGwqGu7pCYAwBG/wxHM2CQCcCHfWY4d6pwsS6hgA9XkPNNQj0JjBSj8tw/5+XcLzo8Oz0z1uJ6bLh/uuSfE2S1z2cdL+Yth4Z86QkvznJRx8eN/PLL92zHj9TZvsnXBFLnZKvPxevJyR5/v3793PvXnnvY1++NHUsT7Ntj4CGYns5ERECpyYwqKGgx6dOlPmnIkCPp0q3xSLwGIGOelxx2yMr4D0ToMd7zq61IXA1gUF6/FJtP5jeF3f6mSQ/lOTFt4B/neH+Okm+/2jez0nyeocT9WW410n3eqb78evbk3xukj9/RTzPPHwR6wM/YrjfInMunZqAhmLq9Fv8pAQGNRT0eNL6sezTEKDHp+FqVgS2TKCjHjPct1xRYhtBgB6PoGgOBHoRGKTH/8twH736cz1Sxom60Zkz39QENBRTp9/iJyUwqKGgx5PWj2WfhgA9Pg1XsyKwZQId9ZjhvuWKEtsIAvR4BEVzINCLwCA9/l+G+wclqS9KfflLGD5+JZbrvjT105N80mHOVzqcpL/8pam/JsnXHsbUf/87X5q6MgsuQ+CGBDQUNwRmOAI7IDCyoTjC4TtVdlAblnB3BOjx3bF3ZwTuikBHPWa431W1uO+5CNDjc5F2HwS2Q2CkHtcjZX7g8KeM8otX/Xd9yenS1+OTPPkwuL4Y9cOTfGWSFyT53iRlrH9UkvdPUo+JqUfIvO3hETIvPFz35UnqsTP1ha31qme8f0+Sd10YhA3+QlCGIXAVAQ2FukBgPgIjG4ojevR4vlKy4oEE6PFAmKZCoAmBjnpcaD3DvUmBCXMVAXq8CpuLEGhNYKQel+E+4lXmeRnsl19fcPgy1LrPMw5m+qsleU6SD0nyTUcXvHqSz0zy2w5/9w+T/JEkP74wQBv8haAMQ+AqAhoKdYHAfARGNhRH9OjxfKVkxQMJ0OOBME2FQBMCHfW40DLcmxSYMFcRoMersLkIgdYERurxKMN9C0Bt8LeQBTG0JaChaJs6gSOwmsDIhoLhvjoNLkTgAQL0WEEgMB+BjnrMcJ+vTmdbMT2eLePWi0AyUo8Z7gsryrv3C0EZ1paAhqJt6gSOwGoCIxsKhvvqNLgQAYa7GkBgcgId9ZjhPnnRTrB8++MJkmyJCFwiMFKPy3D//CTfmOS/X7pPPd6l08sJ907ZEuvmCGgoNpcSASFwcgIjGwqG+8nT5QaTEKDHkyTaMhE4ItBRjxnuSnjvBOjx3jNsfQi8LIGRelyG+3ddAbm+NPUNmsFnuDdLmHC3RUBDsa18iAaBcxAY2VAw3M+RMfeYgQA9niHL1ojAgwQ66jHDXRXvnQA93nuGrQ+B0xvue2HMcN9LJq3jTghoKO4Eu5sicKcEOm7wPeLtTkvGzc9AgB6fAbJbILAxAh31mOG+sSISznAC9Hg4UhMisHkCI/XYM9wXptsGfyEow9oS0FC0TZ3AEVhNYGRDcRSEN8BXZ8SFCCT0WBUgMB+BjnrMcJ+vTmdbMT2eLePWi8D4L039vGugfkAz2Db4zRIm3G0R0FBsKx+iQeAcBDpu8L0Bfo7KcI+7JECP75K+eyNwNwQ66jHD/W5qxV3PR4Aen4+1OyGwFQIj9bhOuP+Dw8JeMcmbJnnVJP8yyXtuZcEL42C4LwRlGAJXEdBQqAsE5iMwsqE4okeP5yslKx5IgB4PhGkqBJoQ6KjHDPcmxSXM1QTo8Wp0LkSgLYGRenz5kTIvn+Szknxnkk9qRsgGv1nChLstAhqKbeVDNAicg8DIhoLhfo6MuccMBOjxDFm2RgQeJNBRjxnuqnjvBOjx3jNsfQi8LIGRenzVM9zfMMlXJXliM/gM92YJE+62CGgotpUP0SBwDgIjGwqG+zky5h4zEKDHM2TZGhFguKsBBLZOgB5vPUPiQ2A8gZH746sM93dO8gVJXnN86CedkeF+Urwm3zsBDcXeM2x9CJz2HXyGuwpDYAwBejyGo1kQ6ERg5Ab/XHpc9/G9Kp2qTKw3JUCPb0rMeAT6Exipx2W4f9oBSf13nWr/rQfD/Y80Q8Vwb5Yw4W6LgIZiW/kQDQLnIDCyoTjXBt/m/hyV4R53SYAe3yV990bgbgh01GOG+93UiruejwA9Ph9rd0JgKwRG6nGZ7F95WNj/TPLDhy9M/bwk/2MrC14YB8N9ISjDELiKgIZCXSAwH4GRDQXDfb76seLTEKDHp+FqVgS2TKCjHjPct1xRYhtBgB6PoGgOBHoRGKnHVz1SpheNn42W4d41c+LeBAENxSbSIAgEzkpgZEPBcD9r6txsxwTo8Y6Ta2kIXEOgox4z3JXz3gnQ471n2PoQeFkCI/W4DPd6Vnt9UepLknzb4ZR7R+4M945ZE/NmCGgoNpMKgSBwNgIjGwqG+9nS5kY7J0CPd55gy0PgCgId9ZjhrpT3ToAe7z3D1ofA6Q33enTMyx9u8+IkX5jkQ5P8ZDP4DPdmCRPutghoKLaVD9EgcA4CHTf4nuF+jspwj7skQI/vkr57I3A3BDrqMcP9bmrFXc9HgB6fj7U7IbAVAiP1uE64v1OSrzks7tcn+cwkX5HkD21lwQvjYLgvBGUYAlcR0FCoCwTmIzCyoTiiR4/nKyUrHkiAHg+EaSoEmhDoqMcM9ybFJczVBOjxanQuRKAtgZF6fNUz3N8uyZccHjXTCZINfqdsiXVzBDQUm0uJgBA4OYGRDQXD/eTpcoNJCNDjSRJtmQgcEeioxwx3Jbx3AvR47xm2PgRelsBIPb7KcH+TJF+b5Oc1g89wb5Yw4W6LgIZiW/kQDQLnIDCyoWC4nyNj7jEDAXo8Q5atEYEHCXTUY4a7Kt47AXq89wxbHwKnN9xfOclPHW7zKkm+IMmrJ3nHZvAZ7s0SJtxtEdBQbCsfokHgHAQ6bvA9w/0cleEed0mAHt8lffdG4G4IdNRjhvvd1Iq7no8APT4fa3dCYCsERupxnXD/kSTfkOQlSd48yU8n+U1JvnkrC14YB8N9ISjDELiKgIZCXSAwH4GRDcURPXo8XylZ8UAC9HggTFMh0IRARz1muDcpLmGuJkCPV6NzIQJtCYzU4zLcPzDJU5LUf39Lkr+V5EUN6djgN0yakLdDQEOxnVyIBIFzERjZUDDcz5U199k7AXq89wxbHwIvS6CjHjPcVfLeCdDjvWfY+hA4rR5f9Qz3Dzh8YeonNoPPcG+WMOFui4CGYlv5EA0C5yDQcYPvkTLnqAz3uEsC9Pgu6bs3AndDoKMeM9zvplbc9XwE6PH5WLsTAlshMFKPrzLcf02SL0ryS7ay4IVxMNwXgjIMgasIaCjUBQLzERjZUBzRo8fzlZIVDyRAjwfCNBUCTQh01GOGe5PiEuZqAvR4NToXItCWwEg9vspwf4PDo2Xqy1Q7vWzwO2VLrJsjoKHYXEoEhMDJCYxsKBjuJ0+XG0xCgB5PkmjLROCIQEc9Zrgr4b0ToMd7z7D1IfCyBEbq8VWG+/sk+bgkZbx3ejHcO2VLrJsjoKHYXEoEhMDJCYxsKBjuJ0+XG0xCgB5PkmjLRIDhrgYQ2DQBerzp9AgOgZMQGLk/LsP9/ZP8y0Ok75Dkk5J8apJPOEn0p5uU4X46tmaegICGYoIkWyIClwiMbCgY7soLgTEE6PEYjmZBoBOBjnpcfH2vSqcqE+tNCdDjmxIzHoH+BEbqcRnuL0rySgcsP5Wkviz14xtiYrg3TJqQt0NAQ7GdXIgEgXMRGNlQMNzPlTX32TsBerz3DFsfAi9LoKMeM9xV8t4J0OO9Z9j6EDitHpfh/vgkb3Qw3r89yU83hc5wb5o4YW+DgIZiG3kQBQLnJNBxg+803TkrxL3uggA9vgvq7onA3RLoqMcM97utGXc/PQF6fHrG7oDA1giM1OOrnuG+tfUujYfhvpSUcQhcQUBDoSwQmI/AyIbiiB49nq+UrHggAXo8EKapEGhCoKMeM9ybFJcwVxOgx6vRuRCBtgRG6jHDfWEZOFG3EJRhbQloKNqmTuAIrCYwsqFguK9OgwsReIAAPVYQCMxHoKMeM9znq9PZVkyPZ8u49SKQjNRjhvvCimK4LwRlWFsCGoq2qRM4AqsJjGwoGO6r0+BCBBjuagCByQl01GOG++RFO8Hy7Y8nSLIlInCJwEg9ZrgvLC+G+0JQhrUloKFomzqBI7CawMiGguG+Og0uRIDhrgYQmJxARz1muE9etBMs3/54giRbIgIM90U14JmxizAZhMDVBDQUKgOB+Qh03OB7A3y+Op1txfR4toxbLwJjP8J+rjfAGe4qd+8E6PHeM2x9CLwsgZH7YyfcF1aYDf5CUIa1JaChaJs6gSOwmsDIhuJcG3x6vDrdLmxCgB43SZQwERhIoKMeM9wHFoCpNkmAHm8yLYJC4KQERuoxw31hqmzwF4IyrC0BDUXb1AkcgdUERjYUDPfVaXAhAg8QoMcKAoH5CHTUY4b7fHU624rp8WwZt14Exn7ijOG+sKIY7gtBGdaWgIaibeoEjsBqAh03+PR4dbpd2IQAPW6SKGEiMJBARz1muA8sAFNtkgA93mRaBIXASQmM1GOG+8JU2eAvBGVYWwIairapEzgCqwmMbCiOgvCdKqsz4kIEEnqsChCYj0BHPWa4z1ens62YHs+WcetFwAn362rABt9vBwK3IKChuAU8lyLQlEDHDb43wJsWm7AXE6DHi1EZiMBuCHTUY4b7bsrPQq4hQI+VBgLzERipx064L6wfG/yFoAxrS0BD0TZ1AkdgNYGRDcVREN4AX50RFyLghLsaQGBGAh31mOE+Y6XOtWb747nybbUIFIGResxwX1hTDPeFoAxrS0BD0TZ1AkdgNYGRDQXDfXUaXIjAAwTosYJAYD4CHfWY4T5fnc62Yno8W8atFwGG+3U14ESd3w4EbkFAQ3ELeC5FoCmBjht8b4A3LTZhLyZAjxejMhCB3RDoqMcM992Un4VcQ4AeKw0E5iMwUo+dcF9YPzb4C0EZ1paAhqJt6gSOwGoCIxuKoyC8Ab46Iy5EwCNl1AACMxLoqMcM9xkrda412x/PlW+rRaAIjNRjhvvCmmK4LwRlWFsCGoq2qRM4AqsJjGwoGO6r0+BCBB4gQI8VBALzEeioxwz3+ep0thXT49kybr0IMNyvqwEn6vx2IHALAhqKW8BzKQJNCXTc4HsDvGmxCXsxAXq8GJWBCOyGQEc9Zrjvpvws5BoC9FhpIDAfgZF6fK4T7t+d5ElXpOqzknxIkq9K8jaXfv7FSd7rBulluN8AlqEIXCagoVATCMxHYGRDcUSPHs9XSlY8kAA9HgjTVAg0IdBRjxnuTYpLmKsJ0OPV6FyIQFsCI/X4XIb7ayb5OUfE3zTJVyR5u4PZXob7tyX52KMxL0py/wZZssG/ASxDEWC4qwEEEBjZUDDc1RMCYwjY4I/haBYEOhHoqMcM904VJtY1BOjxGmquQaA3gZF6fC7D/TLxz0jyLkl+WZKXHEz3/5jkj90iNQz3W8BzKQIaCjWAwHwERjYUDPf56seKT0OAHp+Gq1kR2DKBjnrMcN9yRYltBAF6PIKiORDoRWCkHt+F4f5KSb4vyacl+XMH9HXC/U3qC2GT/GCSL0/ycUle+JDUPC5J/bl4PSHJ8+/fv59798p7H/vyzNixPM22PQIaiu3lREQInJrAoIaCHp86UeafigA9nirdFovAYwQ66nHFbY+sgPdMgB7vObvWhsDVBAbp8Uu1/Q4g/84kfzvJ6x+M9wrhA5N8V5IfSFKPm/mEJP85yW98SHzPTPKMyz9nuN9BRt1yFwQ0FLtIo0UgcCMCgxoKenwj6gYj8HAC9FiFIDAfgY56zHCfr05nWzE9ni3j1ovAsDfA78xw/6dJfibJuz4kmU9N8nX1pnmS514zzok6vw0IDCSgoRgI01QINCEwaINPj5vkW5g9CNDjHnkSJQIjCXTUY4b7yAow1xYJ0OMtZkVMCJyWwCA9vhPD/UlJvjPJeyZ59kMw1cn7n07yPkm+eCFOz3BfCMowBK4ioKFQFwjMR2BkQ3FEjx7PV0pWPJAAPR4I01QINCHQUY8Z7k2KS5irCdDj1ehciEBbAiP1+NyPlKmPnX9wktdL8j8ekoF6rMw3JnmbJF+9MFM2+AtBGYYAw10NIIBAERjZUDDc1RQCYwjY4I/haBYEOhHoqMcM904VJtY1BOjxGmquQaA3gZF6fE7D/eUPz2n/O0k+8igFvzTJ70nyj5P8SJI3TvKpSV6U5C2TvHhhuhjuC0EZhgDDXQ0ggADDXQ0gsE0CNvjbzIuoEDglgZEb/KM4T7o/ZrifsiLMvQUC9HgLWRADAuclMFKPz2m4/6Yk9fz2N0zybUfI6rT73zx8WerjkzwvyT9K8nFJXnADtCdtKHwD+w0yYWhLAhqKlmkTNAK3IjCyoTjXBp8e3yrlLm5AgB43SJIQERhMoKMeM9wHF4HpNkeAHm8uJQJC4OQERurxOQ33U4NhuJ+asPl3TUBDsev0WhwCVxIY2VAw3BUZAmMI0OMxHM2CQCcCHfWY4d6pwsS6hgA9XkPNNQj0JjBSjxnuC2vBibqFoAxrS0BD0TZ1AkdgNYGRDQXDfXUaXIjAAwTosYJAYD4CHfWY4T5fnc62Yno8W8atF4Gx33HGcF9YUQz3haAMa0tAQ9E2dQJHYDWBjht8erw63S5sQoAeN0mUMBEYSKCjHjPcBxaAqTZJgB5vMi2CQuCkBEbqMcN9Yaps8BeCMqwtAQ1F29QJHIHVBEY2FEdBeMTb6oy4EIGEHqsCBOYj0FGPGe7z1elsK6bHs2XcehFwwv26GrDB99uBwC0IaChuAc+lCDQl0HGD7w3wpsUm7MUE6PFiVAYisBsCHfWY4b6b8rOQawjQY6WBwHwERuqxE+4L68cGfyEow9oS0FC0TZ3AEVhNYGRDcRSEN8BXZ8SFCDjhrgYQmJFARz1muM9YqXOt2f54rnxbLQJFYKQeM9wX1hTDfSEow9oS0FC0TZ3AEVhNYGRDwXBfnQYXIvAAAXqsIBCYj0BHPWa4z1ens62YHs+WcetFgOF+XQ04Uee3A4FbEOjaUHzvx7/ZLVbtUgS2T+D1P/YbTxZkxw2+N8BPVg4m3ggBeryRRAgDgUsE6PHLlgRN9muyZwJd9XjPObE2BE5NYOT+2An3hdnSTCwEZVhbAl0bCoZ725IT+EICNvgPgqLHCwvHsLYE6HHb1Al85wToMcN95yVueZcIdNVjiUQAgfUEGO5Xs3PCfX1NuRKBdG0oGO6Kd+8EbPAZ7nuvcet7kAA9VhEIbJMAPWa4b7MyRXUqAl31+FQ8zIvADAQY7gz3GercGs9MoGtDwXA/c6G43dkJ2OAz3M9edG54pwTo8Z3id3MEriVAjxnufj3mItBVj+fKktUiMJYAw53hPraizIZA4oS7KkBgowRs8BnuGy1NYZ2IQNcNvjfAT1QQpt0MAXrMcN9MMQrkLAS66vFZ4LgJAjslwHBnuO+0tC3rLgl0bShs8O+yatz7HARs8Bnu56gz99gOAXq8nVyIBIFjAvSY4e43Yi4CXfV4rixZLQJjCTDcGe5jK8psCDjhrgYQ2CwBG3yG+2aLU2AnIdB1g+8N8JOUg0k3RIAeM9w3VI5COQOBrnp8BjRugcBuCTDcGe67LW4LuzsCXRsKG/y7qxl3Pg8BG3yG+3kqzV22QoAebyUT4kDgQQL0mOHud2IuAl31eK4sWS0CYwkw3BnuYyvKbAg44a4GENgsARt8hvtmi1NgJyHQdYPvDfCTlINJN0SAHjPcN1SOQjkDga56fAY0boHAbgkw3Bnuuy1uC7s7Al0bChv8u6sZdz4PARt8hvt5Ks1dtkKAHm8lE+JA4EEC9Jjh7ndiLgJd9XiuLFktAmMJMNwZ7mMrymwIOOGuBhDYLAEbfIb7ZotTYCch0HWD7w3wk5SDSTdEgB4z3DdUjkI5A4GuenwGNG6BwG4JMNwZ7rstbgu7OwJdGwob/LurGXc+DwEbfIb7eSrNXbZCgB5vJRPiQOBBAvSY4e53Yi4CXfV4rixZLQJjCTDcGe5jK8psCDjhrgYQ2CwBG3yG+2aLU2AnIdB1g+8N8JOUg0k3RIAeM9w3VI5COQOBrnp8BjRugcBuCTDcGe67LW4LuzsCXRsKG/y7qxl3Pg8BG3yG+3kqzV22QoAebyUT4kDgQQL0mOHud2IuAl31eK4sWS0CYwkw3BnuYyvKbAg44a4GENgsARt8hvtmi1NgJyHQdYPvDfCTlINJN0SAHjPcN1SOQjkDga56fAY0boHAbgkw3Bnuuy1uC7s7Al0bChv8u6sZdz4PARt8hvt5Ks1dtkKAHm8lE+JA4EEC9Jjh7ndiLgJd9XiuLFktAmMJMNwZ7mMrymwIOOGuBhDYLAEbfIb7ZotTYCch0HWD7w3wk5SDSTdEgB4z3DdUjkI5A4GuenwGNG6BwG4JMNwZ7rstbgu7OwJdGwob/LurGXc+DwEbfIb7eSrNXbZCgB5vJRPiQOBBAvSY4e53Yi4CXfV4rixZLQJjCTDcGe5jK8psCDjhrgYQ2CwBG3yG+2aLU2AnIdB1g+8N8JOUg0k3RIAeM9w3VI5COQOBrnp8BjRugcBuCTDcGe67LW4LuzsCXRsKG/y7qxl3Pg8BG3yG+3kqzV22QoAebyUT4kDgQQL0mOHud2IuAl31eK4sWS0CYwkw3BnuYyvKbAg44a4GENgsARt8hvtmi1NgJyHQdYPvDfCTlINJN0SAHjPcN1SOQjkDga56fAY0boHAbgkw3Bnuuy1uC7s7Al0bChv8u6sZdz4PARt8hvt5Ks1dtkKAHm8lE+JA4EEC9Jjh7ndiLgJd9XiuLFktAmMJMNwZ7mMrymwIOOGuBhDYLAEbfIb7ZotTYCch0HWD7w3wk5SDSTdEgB4z3DdUjkI5A4GuenwGNG6BwG4JMNwZ7rstbgu7OwJdGwob/LurGXc+DwEbfIb7eSrNXbZCgB5vJRPiQOBBAvSY4e53Yi4CXfV4rixZLQJjCTDcGe5jK8psCDjhrgYQ2CwBG3yG+2aLU2AnIdB1g+8N8JOUg0k3RIAeM9w3VI5COQOBrnp8BjRugcBuCTDcGe67LW4LuzsCXRsKG/y7qxl3Pg8BG3yG+3kqzV22QoAebyUT4kDgQQL0mOHud2IuAl31eK4sWS0CYwkw3BnuYyvKbAg44a4GENgsARt8hvtmi1NgJyHQdYPvDfCTlINJN0SAHjPcN1SOQjkDga56fAY0boHAbgkw3Bnuuy1uC7s7Al0bChv8u6sZdz4PARt8hvt5Ks1dtkKAHm8lE+JA4EEC9Jjh7ndiLgJd9XiuLFktAmMJMNwZ7mMrymwIOOGuBhDYLAEbfIb7ZotTYCch0HWD7w3wk5SDSTdEgB4z3DdUjkI5A4GuenwGNG6BwG4JMNwZ7rstbgu7OwJdGwob/LurGXc+DwEbfIb7eSrNXbZCgB5vJRPiQOBBAvSY4e53Yi4CXfV4rixZLQJjCTDcGe5jK8psCDjhrgYQ2CwBG3yG+2aLU2AnIdB1g+8N8JOUg0k3RIAeM9w3VI5COQOBrnp8BjRugcBuCTDcGe67LW4LuzsCXRsKG/y7qxl3Pg8BG3yG+3kqzV22QoAebyUT4kDgQQL0mOHud2IuAl31eK4sWS0CYwkw3BnuYyvKbAg44a4GENgsARt8hvtmi1NgJyHQdYPvDfCTlINJN0SAHjPcN1SOQjkDga56fAY0boHAbgkw3Bnuuy1uC7s7Al0bChv8u6sZdz4PARt8hvt5Ks1dtkKAHm8lE+JA4EEC9Jjh7ndiLgJd9biyZI88V63OttouevxyO0rMvST379+/n3v36j/Hvp769C8cO6HZENgYga4NhWZiY4UknOEEujQURwunx8OrwIQzEaDHM2XbWjsRoMcM9071KtbbE+iqxwz32+feDNsm0EWPGe4L64jhvhCUYW0JdG0oGO5tS07gCwl0aSgY7gsTahgCjyBAj5UIAtskQI8Z7tusTFGdikBXPWa4n6oizLsVAl30mOG+sGIY7gtBGdaWQNeGguHetuQEvpBAl4aC4b4woYYhwHBXAwi0JECPGe4tC1fQqwl03R8z3Fen3IVNCHTR43MZ7s9M8oxLufvBJK99+LuKo37+QUleLclzknxIkm++Qb59hP0GsAxF4DKBrg0Fw10t751Al4aC4b73SrS+cxGgx+ci7T4I3IwAPWa436xijO5OoKseM9y7V574H0Wgix6f03D/HUne8Qjci5P88OH/f0SSj0nyfkm+LcmfTPK0JG+Y5IWPgn34OcN9ISjDELiKQNeGguGunvdOoEtDwXDfeyVa37kI0ONzkXYfBG5GgB4z3G9WMUZ3J9BVjxnu3StP/I8i0EWPz2m4v3uSN78CXMXwfUk+I8knHn7+uCR1Ar6M+L/6KNgM94WEDEPgIQS6NhQMd2W9dwJdGgqG+94r0frORYAen4u0+yBwMwL0mOF+s4oxujuBrnrMcO9eeeJ/FIEuenxOw/3pSe4n+enDI2M+Osl3JnmDJN+R5C2fDRjYAAAgAElEQVSSfP0R2Gcn+fEk73sN7DLl68/F6wlJnn///v3cu1eH3ce+PMN9LE+zbY9A14aC4b69WhLRWAINGgp6PDblZpucAD2evAAsf7ME6DHDfbPFKbCTEOiqxwz3k5SDSTdEoIEeP0brXIb7OyX5uYfHxbzW4ZExT0nyJofHxnxNktc9nHS/SONnJ3lSkt98TV6vei58GO4b+i0QSisCXRsKhnurMhPsCgINGgp6vCKvLkHgOgL0WG0gsE0C9Jjhvs3KFNWpCHTVY4b7qSrCvFsh0ECPz2q4X87Lzzucav+kJP8uSRnur5Pk+48Gfk6S10vyW65JqhN1W6l2ceyCQNeGguG+i/KziIcQaNBQ0GMVjMBAAvR4IExTITCQAD1muA8sJ1M1INBVjxnuDYpLiLci0ECP79Rwr5t/RZL/nOSTVz5S5nKCfGnqrUrWxbMT6NpQMNxnr9z9r79LQ3GUCXq8/7K0whMSoMcnhGtqBG5BgB4z3G9RPi5tSKCrHjPcGxabkG9EoIsen+uRMpfh1Wm4em57PTbmTx8eJfPpSerEe71eKckP+dLUG9WcwQjcikDXhoLhfqu0u7gBgS4NBcO9QTEJsQUBetwiTYKckAA9ZrhPWPZTL7mrHjPcpy7bKRbfRY/PZbh/SpIvS/K9SX7h4Rnub5PkzZJ8z8FY/6gk75/k25PUF6q+7eH57i9cWDFO1C0EZRgCVxHo2lAw3NXz3gl0aSgY7nuvROs7FwF6fC7S7oPAzQjQY4b7zSrG6O4Euuoxw7175Yn/UQS66PG5DPcvSvK0JK+R5IcPz23/U0m+5QCy4nhGkg9O8mpJnpPkQ5J806NA2+DfgJChCDyEQNeGguGurPdOoEtDQY/3XonWdy4C9PhcpN0HgZsRoMcM95tVjNHdCXTVY4Z798oT/6MIdNHjcxnuj+I14udOuI+gaI5pCXRtKBju05bsNAvv0lAw3KcpSQs9MQF6fGLApkdgJQF6zHBfWToua0qgqx4z3JsWnLAXE+iixwz3hSl96tO/cOFIwxDoSaBrQ8Fw71lvol5OoEtDwXBfnlMjEXgYAXqsPhDYJgF6zHDfZmWK6lQEuuoxw/1UFWHerRDooscM94UVw3BfCMqwtgS6NhQM97YlJ/CFBLo0FAz3hQk1DIFHEKDHSgSBbRKgxwz3bVamqE5FoKseM9xPVRHm3QqBLnrMcF9YMQz3haAMa0uga0PBcG9bcgJfSKBLQ8FwX5hQwxBguKsBBFoSoMcM95aFK+jVBLrujxnuq1PuwiYEuugxw31hQTHcF4IyrC2Brg0Fw71tyQl8IYEuDQXDfWFCDUOA4a4GEGhJgB4z3FsWrqBXE+i6P2a4r065C5sQ6KLHDPeFBcVwXwjKsLYEujYUDPe2JSfwhQS6NBQM94UJNQwBhrsaQKAlAXrMcG9ZuIJeTaDr/pjhvjrlLmxCoIseM9wXFhTDfSEow9oS6NpQMNzblpzAFxLo0lAw3Bcm1DAEGO5qAIGWBOgxw71l4Qp6NYGu+2OG++qUu7AJgS56zHBfWFAM94WgDGtLoGtDwXBvW3ICX0igS0PBcF+YUMMQYLirAQRaEqDHDPeWhSvo1QS67o8Z7qtT7sImBLroMcN9YUEx3BeCMqwtga4NBcO9bckJfCGBLg0Fw31hQg1DgOGuBhBoSYAeM9xbFq6gVxPouj9muK9OuQubEOiixwz3hQXFcF8IyrC2BLo2FAz3tiUn8IUEujQUDPeFCTUMAYa7GkCgJQF6zHBvWbiCXk2g6/6Y4b465S5sQqCLHjPcFxYUw30hKMPaEujaUDDc25acwBcS6NJQMNwXJtQwBBjuagCBlgToMcO9ZeEKejWBrvtjhvvqlLuwCYEuesxwX1hQDPeFoAxrS6BrQ8Fwb1tyAl9IoEtDwXBfmFDDEGC4qwEEWhKgxwz3loUr6NUEuu6PGe6rU+7CJgS66DHDfWFBMdwXgjKsLYGuDQXDvW3JCXwhgS4NBcN9YUINQ4DhrgYQaEmAHjPcWxauoFcT6Lo/ZrivTrkLmxDooscM94UFxXBfCMqwtgS6NhQM97YlJ/CFBLo0FAz3hQk1DAGGuxpAoCUBesxwb1m4gl5NoOv+mOG+OuUubEKgix4z3BcWFMN9ISjD2hLo2lAw3NuWnMAXEujSUDDcFybUMAQY7moAgZYE6DHDvWXhCno1ga77Y4b76pS7sAmBLnrMcF9YUAz3haAMa0uga0PBcG9bcgJfSKBLQ8FwX5hQwxBguKsBBFoSoMcM95aFK+jVBLrujxnuq1PuwiYEuugxw31hQTHcF4IyrC2Brg0Fw71tyQl8IYEuDQXDfWFCDUOA4a4GEGhJgB4z3FsWrqBXE+i6P2a4r065C5sQ6KLHDPeFBcVwXwjKsLYEujYUDPe2JSfwhQS6NBQM94UJNQwBhrsaQKAlAXrMcG9ZuIJeTaDr/pjhvjrlLmxCoIseM9wXFhTDfSEow9oS6NpQMNzblpzAFxLo0lAw3Bcm1DAEGO5qAIGWBOgxw71l4Qp6NYGu+2OG++qUu7AJgS56zHBfWFAM94WgDGtLoGtDwXBvW3ICX0igS0PBcF+YUMMQYLirAQRaEqDHDPeWhSvo1QS67o8Z7qtT7sImBLroMcN9YUEx3BeCMqwtga4NBcO9bckJfCGBLg0Fw31hQg1DgOGuBhBoSYAeM9xbFq6gVxPouj9muK9OuQubEOiixwz3hQXFcF8IyrC2BLo2FAz3tiUn8IUEujQUDPeFCTUMAYa7GkCgJQF6zHBvWbiCXk2g6/6Y4b465S5sQqCLHjPcFxYUw30hKMPaEujaUDDc25acwBcS6NJQMNwXJtQwBBjuagCBlgToMcO9ZeEKejWBrvtjhvvqlLuwCYEuesxwX1hQDPeFoAxrS6BrQ8Fwb1tyAl9IoEtDwXBfmFDDEGC4qwEEWhKgxwz3loUr6NUEuu6PGe6rU+7CJgS66DHDfWFBMdwXgjKsLYGuDQXDvW3JCXwhgS4NBcN9YUINQ4DhrgYQaEmAHjPcWxauoFcT6Lo/ZrivTrkLmxDooscM94UFxXBfCMqwtgS6NhQM97YlJ/CFBLo0FAz3hQk1DAGGuxpAoCUBesxwb1m4gl5NoOv+mOG+OuUubEKgix4z3BcWFMN9ISjD2hLo2lAw3NuWnMAXEujSUDDcFybUMAQY7moAgZYE6DHDvWXhCno1ga77Y4b76pS7sAmBLnrMcF9YUAz3haAMa0uga0PBcG9bcgJfSKBLQ8FwX5hQwxBguKsBBFoSoMcM95aFK+jVBLrujxnuq1PuwiYEuugxw31hQTHcF4IyrC2Brg0Fw71tyQl8IYEuDQXDfWFCDUOA4a4GEGhJgB4z3FsWrqBXE+i6P2a4r065C5sQ6KLHDPeFBcVwXwjKsLYEujYUDPe2JSfwhQS6NBQM94UJNQwBhrsaQKAlAXrMcG9ZuIJeTaDr/pjhvjrlLmxCoIseM9wXFhTDfSEow9oS6NpQMNzblpzAFxLo0lAw3Bcm1DAEGO5qAIGWBOgxw71l4Qp6NYGu+2OG++qUu7AJgS56zHBfWFAM94WgDGtLoGtDwXBvW3ICX0igS0PBcF+YUMMQYLirAQRaEqDHDPeWhSvo1QS67o8Z7qtT7sImBLroMcN9YUEx3BeCMqwtga4NBcO9bckJfCGBLg0Fw31hQg1DgOGuBhBoSYAeM9xbFq6gVxPouj9muK9OuQubEOiixwz3hQXFcF8IyrC2BLo2FAz3tiUn8IUEujQUDPeFCTUMAYa7GkCgJQF6zHBvWbiCXk2g6/6Y4b465S5sQqCLHjPcFxYUw30hKMPaEujaUDDc25acwBcS6NJQMNwXJtQwBBjuagCBlgToMcO9ZeEKejWBrvtjhvvqlLuwCYEuesxwX1hQDPeFoAxrS6BrQ8Fwb1tyAl9IoEtDwXBfmFDDEGC4qwEEWhKgxwz3loUr6NUEuu6PGe6rU+7CJgS66DHDfWFBMdwXgjKsLYGuDQXDvW3JCXwhgS4NBcN9YUINQ4DhrgYQaEmAHjPcWxauoFcT6Lo/ZrivTrkLmxDooscM94UFxXBfCMqwtgS6NhQM97YlJ/CFBLo0FAz3hQk1DAGGuxpAoCUBesxwb1m4gl5NoOv+mOG+OuUubEKgix4z3BcWFMN9ISjD2hLo2lAw3NuWnMAXEujSUDDcFybUMAQY7moAgZYE6DHDvWXhCno1ga77Y4b76pS7sAmBLnrMcF9YUAz3haAMa0uga0PBcG9bcgJfSKBLQ8FwX5hQwxBguKsBBFoSoMcM95aFK+jVBLrujxnuq1PuwiYEuugxw31hQTHcF4IyrC2Brg0Fw71tyQl8IYEuDQXDfWFCDUOA4a4GEGhJgB4z3FsWrqBXE+i6P2a4r065C5sQ6KLHDPeFBcVwXwjKsLYEujYUDPe2JSfwhQS6NBQM94UJNQwBhrsaQKAlAXrMcG9ZuIJeTaDr/pjhvjrlLmxCoIseM9wXFhTDfSEow9oS6NpQMNzblpzAFxLo0lAw3Bcm1DAEGO5qAIGWBOgxw71l4Qp6NYGu+2OG++qUu7AJgS56zHBfWFAM94WgDGtLoGtDwXBvW3ICX0igS0PBcF+YUMMQYLirAQRaEqDHDPeWhSvo1QS67o8Z7qtT7sImBLro8bkM949K8p5JnpLkRUn+TZKPSPKtR/n8qiRvcym/X5zkvRbm/F6S+/fv38+9e/WfY18M97E8zbY9Al0bCob79mpJRGMJdGkoGO5j8262eQnQ43lzb+XbJkCPGe7brlDRjSbQVY8Z7qMrwXxbI9BFj89luP+TJF+U5N8neYUkfzbJmyV54yT/7ZC8Mty/LcnHHiWzzPn7C5PLcF8IyjAEriLQtaFguKvnvRPo0lAw3PdeidZ3LgL0+Fyk3QeBmxGgxwz3m1WM0d0JdNVjhnv3yhP/owh00eNzGe6Xeb1mkh86nGj/6iPD/T8m+WOPgnvNzxnuK8G5DIEi0LWhYLir370T6NJQMNz3XonWdy4C9PhcpN0HgZsRoMcM95tVjNHdCXTVY4Z798oT/6MIdNHjuzLcn5zk2w+n3L/pyHB/kyQV0w8m+fIkH5fkhY+Cffg5w30hKMMQuIpA14aC4a6e906gS0PBcN97JVrfuQjQ43ORdh8EbkaAHjPcb1YxRncn0FWPGe7dK0/8jyLQRY/vwnCvez47yasl+Q1HID8wyXcl+YEkb5rkE5L85yS/8RrYj0tSfy5eT0jyfM9wf1Rp+jkCVxPo2lAw3FX03gk0aCjo8d6L0PrOSoAenxW3myGwmAA9ZrgvLhYDd0Ggqx4z3HdRfhbxEAIN9Pix6O/CcP9LSX5rkl9fBvlDGD41ydclqf997hXjnpnkGZf/nuHu9xKBdQS6NhQM93X5dlUfAg0aCnrcp5xE2oAAPW6QJCFOSYAeM9ynLPyJF91VjxnuExftJEtvoMd3Yrj/hSTvnuRph9PsDyuHejPgp5O8T5IvvmKgE3WT/DJZ5nkIdG0oGO7nqQ93uTsCDRoKenx35eHOOyRAj3eYVEvaBQF6zHDfRSFbxGICXfWY4b44xQY2JdBAj89quJd5Xmb7eyR528Pz2x+V2nqszDde+mLVh13jGe6PIurnCDyEQNeGguGurPdOoEtDcZQHerz3orS+kxKgxyfFa3IEVhOgxwz31cXjwpYEuuoxw71luQn6BgS66PG5HinzWUneO8m7JfnWI473k7woyS9N8nuS/OMkP5LkjZN86uFnb5nkxQvY2+AvgGQIAtcR6NpQMNzV9N4JdGkoGO57r0TrOxcBenwu0u6DwM0I0GOG+80qxujuBLrqMcO9e+WJ/1EEuujxuQz3l1wD7P2TfH6S10vyNw9flvr4JM9L8o+SfFySFzwK9uHnDPeFoAxD4CoCXRsKhrt63juBLg0Fw33vlWh95yJAj89F2n0QuBkBesxwv1nFGN2dQFc9Zrh3rzzxP4pAFz0+l+H+KF4jfs5wH0HRHNMS6NpQMNynLdlpFt6loWC4T1OSFnpiAvT4xIBNj8BKAvSY4b6ydFzWlEBXPWa4Ny04YS8m0EWPGe4LU/rUp3/hwpGGIdCTQNeGguHes95EvZxAl4aC4b48p0Yi8DAC9Fh9ILBNAvSY4b7NyhTVqQh01WOG+6kqwrxbIdBFjxnuCyuG4b4QlGFtCXRtKBjubUtO4AsJdGkoGO4LE2oYAo8gQI+VCALbJECPGe7brExRnYpAVz1muJ+qIsy7FQJd9JjhvrBiGO4LQRnWlkDXhoLh3rbkBL6QQJeGguG+MKGGIcBwVwMItCRAjxnuLQtX0KsJdN0fM9xXp9yFTQh00eP/v707gZVsq8oA/EeN4vQQMCgoKghOgGKMhmAizlNMJAZEjIqKirwEBQcElEHFWVQUB0QNSKKJQ0CJs6BCZFAhyOQQB+RBFBzg4QCKgtmP03pf2+3d99y6t85/6+ukE7H3qdr1rVVv7fq7+lyB+2RDCdwnoSyrFWg9UAjca1vOxicFWg4UAvfJglpGQOCuBwhUCpjHAvfKxrXp1QKtn48F7qtL7sISgZZ5LHCfbCiB+ySUZbUCrQcKgXtty9n4pEDLgULgPllQywgI3PUAgUoB81jgXtm4Nr1aoPXzscB9dcldWCLQMo8F7pMNJXCfhLKsVqD1QCFwr205G58UaDlQCNwnC2oZAYG7HiBQKWAeC9wrG9emVwu0fj4WuK8uuQtLBFrmscB9sqEE7pNQltUKtB4oBO61LWfjkwItBwqB+2RBLSMgcNcDBCoFzGOBe2Xj2vRqgdbPxwL31SV3YYlAyzwWuE82lMB9EsqyWoHWA4XAvbblbHxSoOVAIXCfLKhlBATueoBApYB5LHCvbFybXi3Q+vlY4L665C4sEWiZxwL3yYYSuE9CWVYr0HqgELjXtpyNTwq0HCgE7pMFtYyAwF0PEKgUMI8F7pWNa9OrBVo/HwvcV5fchSUCLfNY4D7ZUAL3SSjLagVaDxQC99qWs/FJgZYDhcB9sqCWERC46wEClQLmscC9snFterVA6+djgfvqkruwRKBlHgvcJxtK4D4JZVmtQOuBQuBe23I2PinQcqAQuE8W1DICAnc9QKBSwDwWuFc2rk2vFmj9fCxwX11yF5YItMxjgftkQwncJ6EsqxVoPVAI3GtbzsYnBVoOFAL3yYJaRkDgrgcIVAqYxwL3ysa16dUCrZ+PBe6rS+7CEoGWeSxwn2wogfsklGW1Aq0HCoF7bcvZ+KRAy4FC4D5ZUMsICNz1AIFKAfNY4F7ZuDa9WqD187HAfXXJXVgi0DKPBe6TDSVwn4SyrFag9UAhcK9tORufFGg5UAjcJwtqGQGBux4gUClgHgvcKxvXplcLtH4+FrivLrkLSwRa5rHAfbKhBO6TUJbVCrQeKATutS1n45MCLQcKgftkQS0jIHDXAwQqBcxjgXtl49r0aoHWz8cC99Uld2GJQMs8FrhPNpTAfRLKslqB1gOFwL225Wx8UqDlQCFwnyyoZQQE7nqAQKWAeSxwr2xcm14t0Pr5WOC+uuQuLBFomccC98mGErhPQllWK9B6oBC417acjU8KtBwoBO6TBbWMgMBdDxCoFDCPBe6VjWvTqwVaPx8L3FeX3IUlAi3zWOA+2VAC90koy2oFWg8UAvfalrPxSYGWA4XAfbKglhEQuOsBApUC5rHAvbJxbXq1QOvnY4H76pK7sESgZR4L3CcbSuA+CWVZrUDrgULgXttyNj4p0HKgELhPFtQyAgJ3PUCgUsA8FrhXNq5NrxZo/XwscF9dcheWCLTMY4H7ZEMJ3CehLKsVaD1QCNxrW87GJwVaDhQC98mCWkZA4K4HCFQKmMcC98rGtenVAq2fjwXuq0vuwhKBlnkscJ9sKIH7JJRltQKtBwqBe23L2fikQMuBQuA+WVDLCAjc9QCBSgHzWOBe2bg2vVqg9fOxwH11yV1YItAyjwXukw0lcJ+EsqxWoPVAIXCvbTkbnxRoOVAI3CcLahkBgbseIFApYB4L3Csb16ZXC7R+Pha4ry65C0sEWuaxwH2yoQTuk1CW1Qq0HigE7rUtZ+OTAi0HCoH7ZEEtIyBw1wMEKgXMY4F7ZePa9GqB1s/HAvfVJXdhiUDLPBa4TzaUwH0SyrJagdYDhcC9tuVsfFKg5UAhcJ8sqGUEBO56gEClgHkscK9sXJteLdD6+VjgvrrkLiwRaJnHAvfJhhK4T0JZVivQeqAQuNe2nI1PCrQcKATukwW1jIDAXQ8QqBQwjwXulY1r06sFWj8fC9xXl9yFJQIt81jgPtlQAvdJKMtqBVoPFAL32paz8UmBlgOFwH2yoJYRELjrAQKVAuaxwL2ycW16tUDr52OB++qSu7BEoGUeC9wnG0rgPgllWa1A64FC4F7bcjY+KdByoBC4TxbUMgICdz1AoFLAPBa4VzauTa8WaP18LHBfXXIXlgi0zGOB+2RDCdwnoSyrFWg9UAjca1vOxicFWg4UAvfJglpGQOCuBwhUCpjHAvfKxrXp1QKtn48F7qtL7sISgZZ5LHCfbCiB+ySUZbUCrQcKgXtty9n4pEDLgULgPllQywgI3PUAgUoB81jgXtm4Nr1aoPXzscB9dcldWCLQMo8F7pMNJXCfhLKsVqD1QCFwr205G58UaDlQCNwnC2oZAYG7HiBQKWAeC9wrG9emVwu0fj4WuK8uuQtLBFrmscB9sqEE7pNQltUKtB4oBO61LWfjkwItBwqB+2RBLSMgcNcDBCoFzGOBe2Xj2vRqgdbPxwL31SV3YYlAyzwWuE82lMB9EsqyWoHWA4XAvbblbHxSoOVAIXCfLKhlBATueoBApYB5LHCvbFybXi3Q+vlY4L665C4sEWiZxwL3yYYSuE9CWVYr0HqgELjXtpyNTwq0HCgE7pMFtYyAwF0PEKgUMI8F7pWNa9OrBVo/HwvcV5fchSUCLfNY4D7ZUAL3SSjLagVaDxQC99qWs/FJgZYDhcB9sqCWERC46wEClQLmscC9snFterVA6+djgfvqkruwRKBlHgvcJxtK4D4JZVmtQOuBQuBe23I2PinQcqAQuE8W1DICAnc9QKBSwDwWuFc2rk2vFmj9fCxwX11yF5YItMxjgftkQwncJ6EsqxVoPVAI3GtbzsYnBVoOFAL3yYJaRkDgrgcIVAqYxwL3ysa16dUCrZ+PBe6rS+7CEoGWeSxwn2wogfsklGW1Aq0HCoF7bcvZ+KRAy4FC4D5ZUMsICNz1AIFKAfNY4F7ZuDa9WqD187HAfXXJXVgi0DKPBe6TDSVwn4SyrFag9UAhcK9tORufFGg5UAjcJwtqGQGBux4gUClgHgvcKxvXplcLtH4+FrivLrkLSwRa5rHAfbKhBO6TUJbVCrQeKATutS1n45MCLQcKgftkQS0jIHDXAwQqBcxjgXtl49r0aoHWz8cC99Uld2GJQMs8FrhPNpTAfRLKslqB1gOFwL225Wx8UqDlQCFwnyyoZQQE7nqAQKWAeSxwr2xcm14t0Pr5WOC+uuQuLBFomccC98mGErhPQllWK9B6oBC417acjU8KtBwoBO6TBbWMgMBdDxCoFDCPBe6VjWvTqwVaPx8L3FeX3IUlAi3zWOA+2VAC90koy2oFWg8UAvfalrPxSYGWA4XAfbKglhEQuOsBApUC5rHAvbJxbXq1QOvnY4H76pK7sESgZR4L3CcbSuA+CWVZrUDrgULgXttyNj4p0HKgELhPFtQyAgJ3PUCgUsA8FrhXNq5NrxZo/XwscF9dcheWCLTM4y0G7tcm+fokt0rysiQPSvLsibpfk+T666+/PtdcM/7P3f4SuO/W06NtT6D1QCFw314v2dFuBVoOFAL33dbdox2ugHl8uLX3yrctYB4L3LfdoXa3a4HWeSxw33UneLytCbTM460F7vdO8pQkI3T//ST3T/JlST4sySuPKbLAfWvvAvupEmg9UAjcq9rMZlcItBwoBO4riusSAlcQMI+1BYFtCpjHAvdtdqZdnZVA6zwWuJ9VR3jcrQi0zOOtBe7PT/LCJA84Usg/SfK0JA8TuG+lve3jIgq0HigE7hexG72mowItBwqBu74lsBsB83g3jh6FwK4FzGOB+657yuNtW6B1Hgvct91Xdnd6gZZ5vKXA/R2T/FuSeyV56pESPC7JXZLcXeB++sb0CASuJtB6oBC46+mLLtByoBC4X/RO9PrOS8A8Pi9pz0PgZALmscD9ZB1jdbtA6zwWuLd3nv0fJ9Ayj7cUuN86yauTfGyS5xwBfniS+yb54MvQ3ynJ+H3p17snedV11113Jvdw/7hv+tnjau7PCVQLPOsx96nc/3XfedfKfds0gVmB2zz0ebNLT7zupje96U2T/HOSt5744v+9wDw+BZ5LCVwuYB7rCQLbFDCP/29dfEbeZq/a1W4EWufxePU+I++mBzzKNgUK5vENcFsM3O+W5LlHyvqNSb4wyYdcVupHJ3nUNstvVwQIECBAoEZghO5vOMVuzeNT4LmUAAECBAgsAuaxViBAgAABAvsXOO083lzgftJbylz+jbrxgm6e5J/2Xxs72IHADf9iIcn7Lt++3MFDeggCBHYg4L25A8SNPcSuv+FuHm+swKfcjvf8KQFdTuCMBLw3zwh2jw9rHu8Rv+CpvecLimSLByngvXnxyn7aeby5wH1saPzQ1BckufZIvV6e5JcmfmjqxSvxYb+ia5Jcn2Qnf7N02JRePYGdCnhv7pTTgxHYvID3/OZLZIMHKuC9eaCF97IPVsB7/mBL74VvXMB7c+MF2tf2tnRLmWFw7yRPSfKVy21lviLJlye5Y5K/2ReS592LgP9o7YXdkxI4VsB781giCwhcKAHv+QtVTi/mAgl4b16gYnopBCYEvOcnkCwhsAcB7809oDc85dYC92E2vt3+kCS3SvLSJA9O8qwGTHvcqYD/aO2U0438AEcAAA3YSURBVIMR2JmA9+bOKD0QgQoB7/mKMtnkAQp4bx5g0b3kgxbwnj/o8nvxGxbw3txwcfa5tS0G7vv08NzbERj36H9Yku9I8u/b2ZadEDh4Ae/Ng28BAAcm4D1/YAX3cmsEvDdrSmWjBHYi4D2/E0YPQmDnAt6bOye9GA8ocL8YdfQqCBAgQIAAAQIECBAgQIAAAQIECBAgQGDPAgL3PRfA0xMgQIAAAQIECBAgQIAAAQIECBAgQIDAxRAQuF+MOnoVBAgQIECAAAECBAgQIECAAAECBAgQILBnAYH7ngvg6QkQIECAAAECBAgQIECAAAECBAgQIEDgYggI3C9GHS/Cqxi9+FtJ/ivJp132gq5dfnjqnZO88iK8WK+BQJnAk5Lcd/lBxt95ZO/3SPLUJGZJWUFtl8AxAmayFiGwTQHzeJt1sSsCZyVgHp+VrMclcDoB8/h0fgdxtZDkIMpc8yJvk+QlSb4hyROWXd82yYuTPDDJ+I+aXwQInL/AeO/dO8mbktwuyeuWLQjcz78WnpHAeQmYyecl7XkIzAuYx/NWVhK4KALm8UWppNdxkQTM44tUzTN6LQL3M4L1sKsFxrdoH5/kw5O8IskzkrwhyQj2/CJAYD8C40BxiyS3T/L0JA8RuO+nEJ6VwDkLmMnnDO7pCBwjYB5rEQKHKWAeH2bdvertCpjH263NZnYmcN9MKWzkiMDTkrxHkl9M8ogkd0ryWkIECOxNYBwoxnvyyUl+Jskdkrxq+Yswt5TZW1k8MYFzETCTz4XZkxCYEjCPp5gsInAhBczjC1lWL6pUwDwuLdx5blvgfp7anmtW4JZJXrp8o/aeyz2iZ6+1jgCB3QtcOlCMf2ny3CQvT3I/gfvuoT0igQ0KmMkbLIotHayAeXywpffCCcQ81gQEtiNgHm+nFpvdicB9s6U5+I09Zgnzxrfb/SJAYL8CRw8UH5fkmcttnz7ID03db2E8O4FzEjCTzwna0xA4RsA81iIEDlvAPD7s+nv12xEwj7dTi83uROC+2dIc/MYevQTudzl4CQAE9i9w9EAxdvMrSd68/CBjt5TZf33sgMBZC5jJZy3s8QnMCZjHc05WEbioAubxRa2s19UmYB63VWwP+xW47wHdU04JOExMMVlE4FwELj9Q3DnJi5I8NsnXJzFLzqUMnoTA3gTM5L3Re2ICNxIwjzUEgcMWMI8Pu/5e/XYEzOPt1GKzOxGSbLY0B78xh4mDbwEAGxK4/EAxtvbTSe6V5CYC9w1VylYInI2AmXw2rh6VwEkFzOOTillP4GIJmMcXq55eTa+Aedxbu3PbucD93Kg90QkFHCZOCGY5gTMUuNKB4v2T/FmSdxK4n6G8hyawDQEzeRt1sAsC5rEeIHDYAubxYdffq9+OgHm8nVpsdicC982WxsYIECBAgAABAgQIECBAgAABAgQIECBAoElA4N5ULXslQIAAAQIECBAgQIAAAQIECBAgQIAAgc0KCNw3WxobI0CAAAECBAgQIECAAAECBAgQIECAAIEmAYF7U7XslQABAgQIECBAgAABAgQIECBAgAABAgQ2KyBw32xpbIwAAQIECBAgQIAAAQIECBAgQIAAAQIEmgQE7k3VslcCBAgQIECAAAECBAgQIECAAAECBAgQ2KyAwH2zpbExAgQIECBAgAABAgQIECBAgAABAgQIEGgSELg3VcteCRAgQIAAAQIECBAgQIAAAQIECBAgQGCzAgL3zZbGxggQIECAAAECBAgQIECAAAECBAgQIECgSUDg3lQteyVAgAABAgQIECBAgAABAgQIECBAgACBzQoI3DdbGhsjMC3wpCTvkeQe01ec78JPSPLIJB+R5CZJXp3kOUnul+Q/k3xxkh9YXsNJdvbxSX4nyc2SvP4kF1pLgAABAgTOQMA8No/PoK08JAECBAicUMA8No9P2DKWE9i9gMB996YekcB5C2z5QHHHJC9I8oNJfjrJG5PcIck9k1yb5D8E7ufdLp6PAAECBM5IwDz2Af+MWsvDEiBAgMAJBMxj8/gE7WIpgbMRELifjatHJXCeAv/fgeL9kvxQkk9K8pYkv57kgUles2zwA5N8X5K7JnnXJH+S5GFJfvvIC3hFkh9Pcvsk90ryuiSPWf5/x73OByX56iS3vcrCS99SP/rH35zk0Um+IMm4/oOT/GuSZy7/+7VJPiDJX1/2mE9ewvux3/GN+fH70q8XJXna8rjj/zce/0uTvFeSf0zyC0m+6rgX488JECBAgMD/I2Aevw3HPPY2IUCAAIF9CpjH5vE++89zE7hBQOCuEQj0C1ztQDHe3+Pb5SOsHsH1OyT5kST/nGQE3ePXuM3LCNvHLV7elOS+Sb52CblfuawZAfa7J3lEkt9cvp3+bUnGt9f/9Bi+z0sy9vepSZ51hbXvmOQBSb5lec6x5F+W3yMQ/9skf5bklkm+fwn7PzPJ2yf57CS/uFz3huXb89cnOS5wH9+u/8kkY28vS/Lei8MT+1vBKyBAgACBPQqYx4l5vMcG9NQECBAgcIOAeWweeysQ2LuAwH3vJbABAqcWuNqB4lOS/Nry7fLrlmf5sCVk/pgkf3iVZx4h9I8mefyRwP3ZSb5w+d/jvxt/l+RRSX7smN2PYPwnlm+ej2uel+QZy+1lxofy8Wv2Hu4fneQPlvB/hPJXu4f7cYH71yS5f5I7JXnzqfU9AAECBAgQeJuAeXzjf8JuHntnECBAgMA+BMxj83gffec5CdxIQOCuIQj0C1ztQDFukfLgK9zOZdwSZtzmZdxTfdxGZgTnn5Xk1su34N85yWOTPORI4P7DSb7nCNUfL98uH99Mn/n1Pkk+cfk2/ecsPyx1hP7jG+xXC9w/crn1y12S3DzJ2yV5l+Wb9S8/ReB+myS/v/wLn3GLnV9N8vRlTzOvxRoCBAgQIHAlAfP4ZB/wzWPvIwIECBA4CwHz2Dw+i77ymAROJCBwPxGXxQQ2KXC1A8UI1cfv212269cv93F/ynKLmU9L8nVJ/mK5Lcu4n/nvLrehGZce9w21k6LcLMmfL889wv4rBe7jLwLG845b2Ixv0f99knE/+t9IMoL4cU/2q33D/a+W+9aPW9Bc+jW+tf/zR+7hPv5SYfwLgE9e7ks/7gd/d994P2kprSdAgACBIwLm8Y0/4JvH3h4ECBAgsA8B89g83kffeU4CNxIQuGsIAv0Ca/7J3Lg9yx8leUmSn0vyrQvDuyV51fLP4sd9388icB+P+eIlTB9B/+cnecJyq5hL1fioZX8jZL90O5zxQ1THXxJcCtzvtnxT/T2XH3x66drnJ/m9I9/Qv2a5Bc53Hwncj1Z9/FDWcS/68Zwv7G8Hr4AAAQIE9iRgHr/tB5Gbx3tqQE9LgAABAjcImMfmsbcCgb0LCNz3XgIbIHBqgXGgeP/l9jFHH2zcOuapyw8gPfpDUy/d/3ysHX/+AUm+JMlbl+B9fHP8p3b0Dfdxr/RxS5jxPH+Z5CZJvmj5Rv24xcwIxi8F5+Pb5uNWNf+23OpmBP+PW77hPu63Pm5p80FHAvdxm5oRxo+9j9vCvHF5rd+xfGv+c5cfsjr+MmE89rhNzqOXPxv3lh/B/Hiu8cNZx33dxz9tPxoUnLowHoAAAQIEDkrAPDaPD6rhvVgCBAhsVMA8No832pq2dUgCAvdDqrbXelEFxoHivld4cU9O8sjl9iqflOQtScY9yx+Y5DXL+hG2j3D9rkn+Icl3LbdYGbds2cU33Me30UeY/bHLPeJH2D9u7/K9y33TL217/JDWeyW5RZJvXoLx+yT59iS3Wr55PoL0Xz4SuI9rH5Hk2iTvtdyTftyeZnyj/YlJPj3J9cuacS/7py2Pe48kD03yoUlG8D6+5f9Nyw9zvag94nURIECAwNkLmMfm8dl3mWcgQIAAgeMEzGPz+Lge8ecEzlxA4H7mxJ6AAAECBAgQIECAAAECBAgQIECAAAECBA5BQOB+CFX2GgkQIECAAAECBAgQIECAAAECBAgQIEDgzAUE7mdO7AkIXGiBhycZv6/069lJPuNCv3ovjgABAgQIbEPAPN5GHeyCAAECBA5bwDw+7Pp79QT+R0DgrhkIEDiNwM2TjN9X+jV+iOmrT/PgriVAgAABAgSmBMzjKSaLCBAgQIDAmQqYx2fK68EJ9AgI3HtqZacECBAgQIAAAQIECBAgQIAAAQIECBAgsGEBgfuGi2NrBAgQIECAAAECBAgQIECAAAECBAgQINAjIHDvqZWdEiBAgAABAgQIECBAgAABAgQIECBAgMCGBQTuGy6OrREgQIAAAQIECBAgQIAAAQIECBAgQIBAj4DAvadWdkqAAAECBAgQIECAAAECBAgQIECAAAECGxYQuG+4OLZGgAABAgQIECBAgAABAgQIECBAgAABAj0CAveeWtkpAQIECBAgQIAAAQIECBAgQIAAAQIECGxYQOC+4eLYGgECBAgQIECAAAECBAgQIECAAAECBAj0CAjce2plpwQIECBAgAABAgQIECBAgAABAgQIECCwYQGB+4aLY2sECBAgQIAAAQIECBAgQIAAAQIECBAg0CMgcO+plZ0SIECAAAECBAgQIECAAAECBAgQIECAwIYFBO4bLo6tESBAgAABAgQIECBAgAABAgQIECBAgECPgMC9p1Z2SoAAAQIECBAgQIAAAQIECBAgQIAAAQIbFhC4b7g4tkaAAAECBAgQIECAAAECBAgQIECAAAECPQL/De6M+qequayPAAAAAElFTkSuQmCC\" width=\"1500\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x1a2167c208>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sns.catplot(x='Loan_Status', col='Property_Area', kind='count', data=loans)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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\" width=\"900\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# eda with numeric variables\n",
    "X_con = loans[['ApplicantIncome', 'CoapplicantIncome', 'LoanAmount', 'Loan_Amount_Term']]\n",
    "y_con = loans['Loan_Status']\n",
    "\n",
    "cmap = cm.get_cmap('gnuplot')\n",
    "scatter = pd.plotting.scatter_matrix(X_con, marker = 'o', s=40, hist_kwds={'bins':15}, figsize=(9,9), cmap=cmap)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Y    0.687296\n",
       "N    0.312704\n",
       "Name: Loan_Status, dtype: float64"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# naive classifier approving all loans will be correct 68.7% of the time (baseline)\n",
    "loans.Loan_Status.value_counts(normalize=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data pre-processing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# clean data\n",
    "loans['Dependents'] = loans['Dependents'].fillna(0).apply(lambda x: int(3) if x == '3+' else int(x))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# remove outliers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# impute missing values\n",
    "\n",
    "# assume Female if Gender not entered\n",
    "# assume Single if Married not entered \n",
    "# assume None if Dependents not entered \n",
    "# assume Self-employed if Self_Employed not entered \n",
    "# assume Bad if Credit History not entered "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 614 entries, 0 to 613\n",
      "Data columns (total 23 columns):\n",
      " #   Column             Non-Null Count  Dtype  \n",
      "---  ------             --------------  -----  \n",
      " 0   Loan_ID            614 non-null    object \n",
      " 1   Gender             601 non-null    object \n",
      " 2   Married            611 non-null    object \n",
      " 3   Dependents         614 non-null    int64  \n",
      " 4   Education          614 non-null    object \n",
      " 5   Self_Employed      582 non-null    object \n",
      " 6   ApplicantIncome    614 non-null    int64  \n",
      " 7   CoapplicantIncome  614 non-null    float64\n",
      " 8   LoanAmount         592 non-null    float64\n",
      " 9   Loan_Amount_Term   600 non-null    float64\n",
      " 10  Credit_History     564 non-null    float64\n",
      " 11  Property_Area      614 non-null    object \n",
      " 12  Loan_Status        614 non-null    object \n",
      " 13  Is_Male            614 non-null    int64  \n",
      " 14  Is_Married         614 non-null    int64  \n",
      " 15  Is_Family          614 non-null    int64  \n",
      " 16  Is_Graduate        614 non-null    int64  \n",
      " 17  Is_Employed        614 non-null    int64  \n",
      " 18  Is_Good            614 non-null    int64  \n",
      " 19  Is_Urban           614 non-null    int64  \n",
      " 20  Is_Semi            614 non-null    int64  \n",
      " 21  Is_Rural           614 non-null    int64  \n",
      " 22  Is_Approved        614 non-null    int64  \n",
      "dtypes: float64(4), int64(12), object(7)\n",
      "memory usage: 110.5+ KB\n"
     ]
    }
   ],
   "source": [
    "# encode categorical features\n",
    "loans['Is_Male'] = loans['Gender'].apply(lambda x: 1 if x == 'Male' else 0)\n",
    "loans['Is_Married'] = loans['Married'].apply(lambda x: 1 if x == 'Yes' else 0)\n",
    "loans['Is_Family'] = loans['Dependents'].apply(lambda x: 1 if x > 0 else 0)\n",
    "loans['Is_Graduate'] = loans['Education'].apply(lambda x: 1 if x == 'Graduate' else 0)\n",
    "loans['Is_Employed'] = loans['Self_Employed'].apply(lambda x: 1 if x == 'No' else 0)\n",
    "loans['Is_Good'] = loans['Credit_History'].apply(lambda x: 1 if x == 1.0 else 0)\n",
    "loans['Is_Urban'] = loans['Property_Area'].apply(lambda x: 1 if x == 'Urban' else 0)\n",
    "loans['Is_Semi'] = loans['Property_Area'].apply(lambda x: 1 if x == 'Semiurban' else 0)\n",
    "loans['Is_Rural'] = loans['Property_Area'].apply(lambda x: 1 if x == 'Rural' else 0)\n",
    "loans['Is_Approved'] = loans['Loan_Status'].apply(lambda x: 1 if x == 'Y' else 0)\n",
    "\n",
    "loans.head()\n",
    "loans.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Modelling"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/malcom/anaconda3/lib/python3.6/site-packages/sklearn/ensemble/weight_boosting.py:29: DeprecationWarning: numpy.core.umath_tests is an internal NumPy module and should not be imported. It will be removed in a future NumPy release.\n",
      "  from numpy.core.umath_tests import inner1d\n"
     ]
    }
   ],
   "source": [
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "from sklearn.svm import SVC\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "from sklearn.naive_bayes import GaussianNB\n",
    "from sklearn.ensemble import RandomForestClassifier, GradientBoostingClassifier\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.metrics import accuracy_score, classification_report, confusion_matrix, precision_score, recall_score, f1_score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[1, 1, 1, ..., 0, 1, 0],\n",
       "       [1, 0, 0, ..., 0, 0, 1],\n",
       "       [1, 1, 0, ..., 0, 1, 0],\n",
       "       ...,\n",
       "       [1, 1, 1, ..., 0, 0, 1],\n",
       "       [1, 1, 1, ..., 0, 1, 0],\n",
       "       [0, 0, 0, ..., 0, 1, 0]])"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# training and test sets\n",
    "X = loans.iloc[:,13:22].values\n",
    "y = loans.iloc[:,22].values\n",
    "\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, random_state=11)\n",
    "X_train"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/malcom/anaconda3/lib/python3.6/site-packages/sklearn/utils/validation.py:475: DataConversionWarning: Data with input dtype int64 was converted to float64 by StandardScaler.\n",
      "  warnings.warn(msg, DataConversionWarning)\n"
     ]
    }
   ],
   "source": [
    "# feature scaling\n",
    "scaler = StandardScaler()\n",
    "scaler.fit(X_train)\n",
    "\n",
    "X_train_scaled = scaler.transform(X_train)\n",
    "X_test_scaled = scaler.transform(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.7727272727272727 0.7692307692307693 0.9183673469387755 0.8372093023255814 LogisticRegression\n",
      "0.6948051948051948 0.6946564885496184 0.9285714285714286 0.7947598253275109 KNeighborsClassifier\n",
      "0.7792207792207793 0.7857142857142857 0.8979591836734694 0.838095238095238 SVC\n",
      "0.7792207792207793 0.7857142857142857 0.8979591836734694 0.838095238095238 DecisionTreeClassifier\n",
      "0.7792207792207793 0.7857142857142857 0.8979591836734694 0.838095238095238 GaussianNB\n",
      "0.6948051948051948 0.6888888888888889 0.9489795918367347 0.798283261802575 RandomForestClassifier\n",
      "0.7727272727272727 0.7603305785123967 0.9387755102040817 0.8401826484018265 GradientBoostingClassifier\n"
     ]
    }
   ],
   "source": [
    "# model selection: want high accuracy high precision\n",
    "classifiers = [LogisticRegression(),\n",
    "               KNeighborsClassifier(n_neighbors = 5),\n",
    "               SVC(kernel = 'rbf'),\n",
    "               DecisionTreeClassifier(max_depth=3),\n",
    "               GaussianNB(),\n",
    "               RandomForestClassifier(n_estimators=10, random_state=7, max_depth=3),\n",
    "               GradientBoostingClassifier(random_state=7)]\n",
    "\n",
    "for clf in classifiers:\n",
    "    clf.fit(X_train, y_train)\n",
    "    y_pred = clf.predict(X_test)\n",
    "    accuracy = accuracy_score(y_test, y_pred)\n",
    "    precision = precision_score(y_test, y_pred)\n",
    "    recall = recall_score(y_test, y_pred)\n",
    "    f1 = f1_score(y_test, y_pred)\n",
    "    print(accuracy, precision, recall, f1, type(clf).__name__)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "SVC(C=1.0, cache_size=200, class_weight=None, coef0=0.0,\n",
       "  decision_function_shape='ovr', degree=3, gamma='auto', kernel='rbf',\n",
       "  max_iter=-1, probability=False, random_state=None, shrinking=True,\n",
       "  tol=0.001, verbose=False)"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# training and cross-validation\n",
    "\n",
    "#clf = LogisticRegression()\n",
    "#clf = KNeighborsClassifier(n_neighbors = 5)\n",
    "clf = SVC(kernel = 'rbf')\n",
    "#clf = DecisionTreeClassifier(max_depth=3)\n",
    "#clf = GaussianNB()\n",
    "#clf = RandomForestClassifier(n_estimators=10, random_state=7, max_depth=3)\n",
    "#clf = GradientBoostingClassifier(random_state=7)\n",
    "clf.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1,\n",
       "       0, 0, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1,\n",
       "       1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 0, 1, 1, 0, 1, 1, 1, 1, 1, 0, 0,\n",
       "       1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 0, 0, 1,\n",
       "       1, 1, 1, 1, 1, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 1, 1,\n",
       "       0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
       "       0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 1])"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_user = np.array([1, 1, 1, 1, 1, 1, 0, 0, 1]).reshape(1,-1)\n",
    "y_pred = clf.predict(X_test)\n",
    "\n",
    "y_pred"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.7792207792207793"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "accuracy_score(y_test, y_pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[32, 24],\n",
       "       [10, 88]])"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "confusion_matrix(y_test, y_pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "             precision    recall  f1-score   support\n",
      "\n",
      "          0       0.76      0.57      0.65        56\n",
      "          1       0.79      0.90      0.84        98\n",
      "\n",
      "avg / total       0.78      0.78      0.77       154\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(classification_report(y_test, y_pred))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Task 2.1: - Frontend"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# dash web app with form gui for user input and realtime output of result \n",
    "# python dash_frontend.py\n",
    "# http://127.0.0.1:8050/ \n",
    "\n",
    "import pickle"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# save model\n",
    "file = './models/clf.sav'\n",
    "fhand = open(file, 'wb')\n",
    "pickle.dump(clf, fhand)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def pred_loan(x1, x2, x3, x4, x5, x6, x7, x8, x9):\n",
    "    file = './models/clf.sav'\n",
    "    model = pickle.load(open(file, 'rb'))\n",
    "    new_user = np.array([x1, x2, x3, x4, x5, x6, x7, x8, x9]).reshape(1,-1)\n",
    "    y_pred = model.predict(new_user)\n",
    "    return y_pred"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pred_loan(1, 0, 0, 1, 0, 1, 1, 0, 0)[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'eligible'"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from models import pred_loan as pred\n",
    "pred(1, 0, 0, 1, 0, 1, 1, 0, 0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import dash\n",
    "import dash_core_components as dcc\n",
    "import dash_html_components as html\n",
    "from dash.dependencies import Input, Output\n",
    "from models import pred_loan \n",
    "\n",
    "external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css']\n",
    "\n",
    "app = dash.Dash(__name__, external_stylesheets=external_stylesheets)\n",
    "\n",
    "app.layout = html.Div([\n",
    "    html.H6(\"Enter 1 if True 0 if False:\"),\n",
    "    html.Div([\"Male?: \",\n",
    "              dcc.Input(id='my-input-1', value=1, type='text')]),\n",
    "    html.Div([\"Married?: \",\n",
    "              dcc.Input(id='my-input-2', value=0, type='text')]),\n",
    "    html.Div([\"Family?: \",\n",
    "              dcc.Input(id='my-input-3', value=0, type='text')]),\n",
    "    html.Div([\"Graduate?: \",\n",
    "              dcc.Input(id='my-input-4', value=1, type='text')]),\n",
    "    html.Div([\"Employed?: \",\n",
    "              dcc.Input(id='my-input-5', value=0, type='text')]),\n",
    "    html.Div([\"Credit-worthy?: \",\n",
    "              dcc.Input(id='my-input-6', value=1, type='text')]),\n",
    "    html.Div([\"Urban?: \",\n",
    "              dcc.Input(id='my-input-7', value=1, type='text')]),\n",
    "    html.Div([\"Semi-urban?: \",\n",
    "              dcc.Input(id='my-input-8', value=0, type='text')]),\n",
    "    html.Div([\"Rural?: \",\n",
    "              dcc.Input(id='my-input-9', value=0, type='text')]),\n",
    "    html.Br(),\n",
    "    html.Div(id='my-output'),\n",
    "\n",
    "])\n",
    "\n",
    "@app.callback(\n",
    "    Output(component_id='my-output', component_property='children'),\n",
    "    [Input(component_id='my-input-1', component_property='value'),\n",
    "    Input(component_id='my-input-2', component_property='value'),\n",
    "    Input(component_id='my-input-3', component_property='value'),\n",
    "    Input(component_id='my-input-4', component_property='value'),\n",
    "    Input(component_id='my-input-5', component_property='value'),\n",
    "    Input(component_id='my-input-6', component_property='value'),\n",
    "    Input(component_id='my-input-7', component_property='value'),\n",
    "    Input(component_id='my-input-8', component_property='value'),\n",
    "    Input(component_id='my-input-9', component_property='value'),\n",
    "    ]\n",
    ")\n",
    "def update_output_div(x1, x2, x3, x4, x5, x6, x7, x8, x9):\n",
    "    # call function to input features x and output prediction y\n",
    "    y = pred_loan(x1, x2, x3, x4, x5, x6, x7, x8, x9)\n",
    "    return 'Output: {}'.format(y)\n",
    "\n",
    "\n",
    "if __name__ == '__main__':\n",
    "    app.run_server(debug=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Task 2.2: - Backend"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# flask REST API \n",
    "# python flaskapi.py\n",
    "# http://localhost:5000/loan\n",
    "\n",
    "import requests"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from flask import Flask, json, request\n",
    "from models import pred_loan \n",
    "\n",
    "api = Flask(__name__)\n",
    "\n",
    "@api.route('/loans', methods=['POST'])\n",
    "def post_loans():\n",
    "    x1 = request.form['is_male']\n",
    "    x2 = request.form['is_married']\n",
    "    x3 = request.form['is_family']\n",
    "    x4 = request.form['is_graduate']\n",
    "    x5 = request.form['is_employed']\n",
    "    x6 = request.form['is_creditworthy']\n",
    "    x7 = request.form['is_urban']\n",
    "    x8 = request.form['is_semi']\n",
    "    x9 = request.form['is_rural']\n",
    "    y = pred_loan(x1, x2, x3, x4, x5, x6, x7, x8, x9)\n",
    "    return json.dumps({\"loan\": y}), 201\n",
    "\n",
    "if __name__ == '__main__':\n",
    "    api.run()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'loan': 'eligible'}"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# example POST request for applicant (myself)\n",
    "url = 'http://localhost:5000/loans'\n",
    "params = {'is_male': 1,\n",
    "         'is_married': 0,\n",
    "         'is_family': 0,\n",
    "         'is_graduate': 1,\n",
    "         'is_employed': 0,\n",
    "         'is_creditworthy': 1,\n",
    "         'is_urban': 1,\n",
    "         'is_semi': 0,\n",
    "         'is_rural': 0}\n",
    "\n",
    "requests.post(url, data = params).json()"
   ]
  }
 ],
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