data_making.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "%matplotlib notebook"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "train9 = pd.read_csv('train/train9.csv')\n",
    "train1 = pd.read_csv('train/train1.csv')\n",
    "test9 = pd.read_csv('test/test9.csv')\n",
    "test1 = pd.read_csv('test/test1.csv')\n",
    "encoded_hero = pd.read_csv('train/encoded_hero_data.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>user_id</th>\n",
       "      <th>hero_id</th>\n",
       "      <th>id</th>\n",
       "      <th>num_games</th>\n",
       "      <th>num_wins</th>\n",
       "      <th>kda_ratio</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>74</td>\n",
       "      <td>1_74</td>\n",
       "      <td>304</td>\n",
       "      <td>185</td>\n",
       "      <td>3743.699732</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>65</td>\n",
       "      <td>1_65</td>\n",
       "      <td>255</td>\n",
       "      <td>151</td>\n",
       "      <td>4009.021513</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>39</td>\n",
       "      <td>1_39</td>\n",
       "      <td>203</td>\n",
       "      <td>135</td>\n",
       "      <td>5094.621514</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>106</td>\n",
       "      <td>1_106</td>\n",
       "      <td>158</td>\n",
       "      <td>106</td>\n",
       "      <td>4619.212963</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1_2</td>\n",
       "      <td>157</td>\n",
       "      <td>94</td>\n",
       "      <td>2871.627907</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   user_id  hero_id     id  num_games  num_wins    kda_ratio\n",
       "0        1       74   1_74        304       185  3743.699732\n",
       "1        1       65   1_65        255       151  4009.021513\n",
       "2        1       39   1_39        203       135  5094.621514\n",
       "3        1      106  1_106        158       106  4619.212963\n",
       "4        1        2    1_2        157        94  2871.627907"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train9.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(18846, 6)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# rows and columns size of train9\n",
    "train9.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2094"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# number of unique users \n",
    "len(train9['user_id'].unique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2992"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train9['user_id'].max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "18846"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# train9 unique * 9 = ?\n",
    "2094 * 9\n",
    "# so we have 2094 unique users and each has 9 records so total records are 18846 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# it seems like some of the users are are present in train data and some of them are in test data "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "user_id      0\n",
       "hero_id      0\n",
       "id           0\n",
       "num_games    0\n",
       "num_wins     0\n",
       "kda_ratio    0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train9.isnull().sum()\n",
    "# no null values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "18569"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# find uniqe hero_ids per user_id\n",
    "train9.groupby('user_id')['hero_id'].nunique().sum()\n",
    "# some of the users has played with only 7 or 8 heros but we have 9 records per user \n",
    "# but we don't have any duplicate values that means for same user with same hero num_games or num_win might be different\n",
    "# here the sum is 18569 which is less than size of train9 18846\n",
    "# if we had  9 unique hero per user than the sum has to be 2094 * 9 = 18846 (which is size of train9)\n",
    "# that shows that hero_id are repeating for a user"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "18846"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train9.groupby(['user_id', 'hero_id'])['num_games'].nunique().sum()\n",
    "# here sum is 18846 that means we have unique records "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "18846"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train9.groupby(['user_id', 'hero_id', 'num_games'])['num_wins'].nunique().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>user_id</th>\n",
       "      <th>hero_id</th>\n",
       "      <th>id</th>\n",
       "      <th>num_games</th>\n",
       "      <th>num_wins</th>\n",
       "      <th>kda_ratio</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>41</td>\n",
       "      <td>1_41</td>\n",
       "      <td>201</td>\n",
       "      <td>125</td>\n",
       "      <td>3731.707317</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>17</td>\n",
       "      <td>2_17</td>\n",
       "      <td>427</td>\n",
       "      <td>234</td>\n",
       "      <td>2922.058381</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>5</td>\n",
       "      <td>106</td>\n",
       "      <td>5_106</td>\n",
       "      <td>240</td>\n",
       "      <td>130</td>\n",
       "      <td>5116.682739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>6</td>\n",
       "      <td>65</td>\n",
       "      <td>6_65</td>\n",
       "      <td>206</td>\n",
       "      <td>122</td>\n",
       "      <td>4131.553861</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>7</td>\n",
       "      <td>69</td>\n",
       "      <td>7_69</td>\n",
       "      <td>697</td>\n",
       "      <td>382</td>\n",
       "      <td>2474.469306</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   user_id  hero_id     id  num_games  num_wins    kda_ratio\n",
       "0        1       41   1_41        201       125  3731.707317\n",
       "1        2       17   2_17        427       234  2922.058381\n",
       "2        5      106  5_106        240       130  5116.682739\n",
       "3        6       65   6_65        206       122  4131.553861\n",
       "4        7       69   7_69        697       382  2474.469306"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train1.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "train1_uni = train1['user_id'].unique()\n",
    "train9_uni = train9['user_id'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "nin_train9 = []\n",
    "for i in train1_uni:\n",
    "    if i not in train9_uni:\n",
    "        nin_train9.append(i)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[]"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nin_train9"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "hero_data = pd.read_csv('train/hero_data.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>hero_id</th>\n",
       "      <th>primary_attr</th>\n",
       "      <th>attack_type</th>\n",
       "      <th>roles</th>\n",
       "      <th>base_health</th>\n",
       "      <th>base_health_regen</th>\n",
       "      <th>base_mana</th>\n",
       "      <th>base_mana_regen</th>\n",
       "      <th>base_armor</th>\n",
       "      <th>base_magic_resistance</th>\n",
       "      <th>...</th>\n",
       "      <th>base_agility</th>\n",
       "      <th>base_intelligence</th>\n",
       "      <th>strength_gain</th>\n",
       "      <th>agility_gain</th>\n",
       "      <th>intelligence_gain</th>\n",
       "      <th>attack_range</th>\n",
       "      <th>projectile_speed</th>\n",
       "      <th>attack_rate</th>\n",
       "      <th>move_speed</th>\n",
       "      <th>turn_rate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>agi</td>\n",
       "      <td>Melee</td>\n",
       "      <td>Carry:Escape:Nuker</td>\n",
       "      <td>200</td>\n",
       "      <td>1.50</td>\n",
       "      <td>75</td>\n",
       "      <td>0.9</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>25</td>\n",
       "      <td>...</td>\n",
       "      <td>22</td>\n",
       "      <td>12</td>\n",
       "      <td>1.3</td>\n",
       "      <td>2.8</td>\n",
       "      <td>1.8</td>\n",
       "      <td>150</td>\n",
       "      <td>0</td>\n",
       "      <td>1.45</td>\n",
       "      <td>310</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>str</td>\n",
       "      <td>Melee</td>\n",
       "      <td>Initiator:Durable:Disabler:Jungler</td>\n",
       "      <td>200</td>\n",
       "      <td>4.25</td>\n",
       "      <td>75</td>\n",
       "      <td>0.9</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>25</td>\n",
       "      <td>...</td>\n",
       "      <td>20</td>\n",
       "      <td>18</td>\n",
       "      <td>2.8</td>\n",
       "      <td>2.2</td>\n",
       "      <td>1.6</td>\n",
       "      <td>150</td>\n",
       "      <td>900</td>\n",
       "      <td>1.70</td>\n",
       "      <td>290</td>\n",
       "      <td>0.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>int</td>\n",
       "      <td>Ranged</td>\n",
       "      <td>Support:Disabler:Nuker:Durable</td>\n",
       "      <td>200</td>\n",
       "      <td>1.50</td>\n",
       "      <td>75</td>\n",
       "      <td>0.9</td>\n",
       "      <td>1.0</td>\n",
       "      <td>25</td>\n",
       "      <td>...</td>\n",
       "      <td>23</td>\n",
       "      <td>23</td>\n",
       "      <td>2.4</td>\n",
       "      <td>2.4</td>\n",
       "      <td>2.4</td>\n",
       "      <td>400</td>\n",
       "      <td>900</td>\n",
       "      <td>1.70</td>\n",
       "      <td>310</td>\n",
       "      <td>0.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>agi</td>\n",
       "      <td>Melee</td>\n",
       "      <td>Carry:Disabler:Jungler:Nuker:Initiator</td>\n",
       "      <td>200</td>\n",
       "      <td>1.50</td>\n",
       "      <td>75</td>\n",
       "      <td>0.9</td>\n",
       "      <td>0.0</td>\n",
       "      <td>25</td>\n",
       "      <td>...</td>\n",
       "      <td>24</td>\n",
       "      <td>18</td>\n",
       "      <td>2.7</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.7</td>\n",
       "      <td>150</td>\n",
       "      <td>900</td>\n",
       "      <td>1.70</td>\n",
       "      <td>285</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>int</td>\n",
       "      <td>Ranged</td>\n",
       "      <td>Support:Disabler:Nuker:Jungler</td>\n",
       "      <td>200</td>\n",
       "      <td>1.50</td>\n",
       "      <td>75</td>\n",
       "      <td>0.9</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>25</td>\n",
       "      <td>...</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.6</td>\n",
       "      <td>2.9</td>\n",
       "      <td>600</td>\n",
       "      <td>900</td>\n",
       "      <td>1.70</td>\n",
       "      <td>275</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 23 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   hero_id primary_attr attack_type                                   roles  \\\n",
       "0        1          agi       Melee                      Carry:Escape:Nuker   \n",
       "1        2          str       Melee      Initiator:Durable:Disabler:Jungler   \n",
       "2        3          int      Ranged          Support:Disabler:Nuker:Durable   \n",
       "3        4          agi       Melee  Carry:Disabler:Jungler:Nuker:Initiator   \n",
       "4        5          int      Ranged          Support:Disabler:Nuker:Jungler   \n",
       "\n",
       "   base_health  base_health_regen  base_mana  base_mana_regen  base_armor  \\\n",
       "0          200               1.50         75              0.9        -1.0   \n",
       "1          200               4.25         75              0.9        -1.0   \n",
       "2          200               1.50         75              0.9         1.0   \n",
       "3          200               1.50         75              0.9         0.0   \n",
       "4          200               1.50         75              0.9        -1.0   \n",
       "\n",
       "   base_magic_resistance    ...      base_agility  base_intelligence  \\\n",
       "0                     25    ...                22                 12   \n",
       "1                     25    ...                20                 18   \n",
       "2                     25    ...                23                 23   \n",
       "3                     25    ...                24                 18   \n",
       "4                     25    ...                16                 16   \n",
       "\n",
       "   strength_gain  agility_gain  intelligence_gain  attack_range  \\\n",
       "0            1.3           2.8                1.8           150   \n",
       "1            2.8           2.2                1.6           150   \n",
       "2            2.4           2.4                2.4           400   \n",
       "3            2.7           3.0                1.7           150   \n",
       "4            2.0           1.6                2.9           600   \n",
       "\n",
       "   projectile_speed  attack_rate  move_speed  turn_rate  \n",
       "0                 0         1.45         310        0.5  \n",
       "1               900         1.70         290        0.6  \n",
       "2               900         1.70         310        0.6  \n",
       "3               900         1.70         285        0.5  \n",
       "4               900         1.70         275        0.5  \n",
       "\n",
       "[5 rows x 23 columns]"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hero_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['agi', 'str', 'int'], dtype=object)"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hero_data['primary_attr'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "roles_list = hero_data['roles'].tolist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "roles =  set()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "for rol_str in roles_list:\n",
    "    r_l = rol_str.split(':')\n",
    "    for i in r_l:\n",
    "        roles.add(i)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Carry',\n",
       " 'Disabler',\n",
       " 'Durable',\n",
       " 'Escape',\n",
       " 'Initiator',\n",
       " 'Jungler',\n",
       " 'Nuker',\n",
       " 'Pusher',\n",
       " 'Support'}"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "roles"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "roles_df = pd.DataFrame(columns=roles)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Carry</th>\n",
       "      <th>Jungler</th>\n",
       "      <th>Support</th>\n",
       "      <th>Initiator</th>\n",
       "      <th>Disabler</th>\n",
       "      <th>Escape</th>\n",
       "      <th>Nuker</th>\n",
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      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [Carry, Jungler, Support, Initiator, Disabler, Escape, Nuker, Durable, Pusher]\n",
       "Index: []"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "roles_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [],
   "source": [
    "ite = 0\n",
    "for x in hero_data['roles'].apply(lambda x : x.split(':')):\n",
    "    for i in x:\n",
    "        roles_df.loc[ite, i] = 1\n",
    "    ite = ite + 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 115 entries, 0 to 114\n",
      "Data columns (total 9 columns):\n",
      "Carry        63 non-null object\n",
      "Jungler      15 non-null object\n",
      "Support      40 non-null object\n",
      "Initiator    52 non-null object\n",
      "Disabler     84 non-null object\n",
      "Escape       46 non-null object\n",
      "Nuker        83 non-null object\n",
      "Durable      46 non-null object\n",
      "Pusher       29 non-null object\n",
      "dtypes: object(9)\n",
      "memory usage: 14.0+ KB\n"
     ]
    }
   ],
   "source": [
    "roles_df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [],
   "source": [
    "roles_df['Carry'].fillna(0, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [],
   "source": [
    "for col in roles_df.columns:\n",
    "    roles_df[col].fillna(0, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
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       "      <th>Jungler</th>\n",
       "      <th>Support</th>\n",
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       "      <th>3</th>\n",
       "      <td>1</td>\n",
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       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
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       "      <td>0</td>\n",
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       "      <th>4</th>\n",
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       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Carry  Jungler  Support  Initiator  Disabler  Escape  Nuker  Durable  \\\n",
       "0      1        0        0          0         0       1      1        0   \n",
       "1      0        1        0          1         1       0      0        1   \n",
       "2      0        0        1          0         1       0      1        1   \n",
       "3      1        1        0          1         1       0      1        0   \n",
       "4      0        1        1          0         1       0      1        0   \n",
       "\n",
       "   Pusher  \n",
       "0       0  \n",
       "1       0  \n",
       "2       0  \n",
       "3       0  \n",
       "4       0  "
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "roles_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [],
   "source": [
    "hero_data = hero_data.join(roles_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "      <th>roles</th>\n",
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       "    <tr>\n",
       "      <th>0</th>\n",
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       "      <td>25</td>\n",
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       "      <td>0.6</td>\n",
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       "      <td>200</td>\n",
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       "      <td>0.9</td>\n",
       "      <td>1.0</td>\n",
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       "      <td>0.6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>1</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>agi</td>\n",
       "      <td>Melee</td>\n",
       "      <td>Carry:Disabler:Jungler:Nuker:Initiator</td>\n",
       "      <td>200</td>\n",
       "      <td>1.50</td>\n",
       "      <td>75</td>\n",
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       "      <td>0.0</td>\n",
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       "      <td>int</td>\n",
       "      <td>Ranged</td>\n",
       "      <td>Support:Disabler:Nuker:Jungler</td>\n",
       "      <td>200</td>\n",
       "      <td>1.50</td>\n",
       "      <td>75</td>\n",
       "      <td>0.9</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>25</td>\n",
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       "      <td>0</td>\n",
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       "      <td>1</td>\n",
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       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 32 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   hero_id primary_attr attack_type                                   roles  \\\n",
       "0        1          agi       Melee                      Carry:Escape:Nuker   \n",
       "1        2          str       Melee      Initiator:Durable:Disabler:Jungler   \n",
       "2        3          int      Ranged          Support:Disabler:Nuker:Durable   \n",
       "3        4          agi       Melee  Carry:Disabler:Jungler:Nuker:Initiator   \n",
       "4        5          int      Ranged          Support:Disabler:Nuker:Jungler   \n",
       "\n",
       "   base_health  base_health_regen  base_mana  base_mana_regen  base_armor  \\\n",
       "0          200               1.50         75              0.9        -1.0   \n",
       "1          200               4.25         75              0.9        -1.0   \n",
       "2          200               1.50         75              0.9         1.0   \n",
       "3          200               1.50         75              0.9         0.0   \n",
       "4          200               1.50         75              0.9        -1.0   \n",
       "\n",
       "   base_magic_resistance   ...    turn_rate  Carry  Jungler  Support  \\\n",
       "0                     25   ...          0.5      1        0        0   \n",
       "1                     25   ...          0.6      0        1        0   \n",
       "2                     25   ...          0.6      0        0        1   \n",
       "3                     25   ...          0.5      1        1        0   \n",
       "4                     25   ...          0.5      0        1        1   \n",
       "\n",
       "   Initiator  Disabler  Escape  Nuker  Durable  Pusher  \n",
       "0          0         0       1      1        0       0  \n",
       "1          1         1       0      0        1       0  \n",
       "2          0         1       0      1        1       0  \n",
       "3          1         1       0      1        0       0  \n",
       "4          0         1       0      1        0       0  \n",
       "\n",
       "[5 rows x 32 columns]"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hero_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [],
   "source": [
    "hero_data.drop('roles', axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [
    {
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       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>int</td>\n",
       "      <td>Ranged</td>\n",
       "      <td>200</td>\n",
       "      <td>1.50</td>\n",
       "      <td>75</td>\n",
       "      <td>0.9</td>\n",
       "      <td>1.0</td>\n",
       "      <td>25</td>\n",
       "      <td>37</td>\n",
       "      <td>...</td>\n",
       "      <td>0.6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>agi</td>\n",
       "      <td>Melee</td>\n",
       "      <td>200</td>\n",
       "      <td>1.50</td>\n",
       "      <td>75</td>\n",
       "      <td>0.9</td>\n",
       "      <td>0.0</td>\n",
       "      <td>25</td>\n",
       "      <td>33</td>\n",
       "      <td>...</td>\n",
       "      <td>0.5</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>int</td>\n",
       "      <td>Ranged</td>\n",
       "      <td>200</td>\n",
       "      <td>1.50</td>\n",
       "      <td>75</td>\n",
       "      <td>0.9</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>25</td>\n",
       "      <td>19</td>\n",
       "      <td>...</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 31 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   hero_id primary_attr attack_type  base_health  base_health_regen  \\\n",
       "0        1          agi       Melee          200               1.50   \n",
       "1        2          str       Melee          200               4.25   \n",
       "2        3          int      Ranged          200               1.50   \n",
       "3        4          agi       Melee          200               1.50   \n",
       "4        5          int      Ranged          200               1.50   \n",
       "\n",
       "   base_mana  base_mana_regen  base_armor  base_magic_resistance  \\\n",
       "0         75              0.9        -1.0                     25   \n",
       "1         75              0.9        -1.0                     25   \n",
       "2         75              0.9         1.0                     25   \n",
       "3         75              0.9         0.0                     25   \n",
       "4         75              0.9        -1.0                     25   \n",
       "\n",
       "   base_attack_min   ...    turn_rate  Carry  Jungler  Support  Initiator  \\\n",
       "0               27   ...          0.5      1        0        0          0   \n",
       "1               24   ...          0.6      0        1        0          1   \n",
       "2               37   ...          0.6      0        0        1          0   \n",
       "3               33   ...          0.5      1        1        0          1   \n",
       "4               19   ...          0.5      0        1        1          0   \n",
       "\n",
       "   Disabler  Escape  Nuker  Durable  Pusher  \n",
       "0         0       1      1        0       0  \n",
       "1         1       0      0        1       0  \n",
       "2         1       0      1        1       0  \n",
       "3         1       0      1        0       0  \n",
       "4         1       0      1        0       0  \n",
       "\n",
       "[5 rows x 31 columns]"
      ]
     },
     "execution_count": 93,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hero_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "p_a_oh = pd.get_dummies(hero_data['primary_attr'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "hero_data.drop('primary_attr', axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "hero_data = hero_data.join(p_a_oh)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "a_t_oh = pd.get_dummies(hero_data['attack_type'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "hero_data.drop('attack_type', axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "hero_data = hero_data.join(a_t_oh)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<p>5 rows × 34 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   hero_id  base_health  base_health_regen  base_mana  base_mana_regen  \\\n",
       "0        1          200               1.50         75              0.9   \n",
       "1        2          200               4.25         75              0.9   \n",
       "2        3          200               1.50         75              0.9   \n",
       "3        4          200               1.50         75              0.9   \n",
       "4        5          200               1.50         75              0.9   \n",
       "\n",
       "   base_armor  base_magic_resistance  base_attack_min  base_attack_max  \\\n",
       "0        -1.0                     25               27               31   \n",
       "1        -1.0                     25               24               28   \n",
       "2         1.0                     25               37               43   \n",
       "3         0.0                     25               33               39   \n",
       "4        -1.0                     25               19               25   \n",
       "\n",
       "   base_strength   ...    Disabler  Escape  Nuker  Durable  Pusher  agi  int  \\\n",
       "0             22   ...           0       1      1        0       0    1    0   \n",
       "1             25   ...           1       0      0        1       0    0    0   \n",
       "2             23   ...           1       0      1        1       0    0    1   \n",
       "3             23   ...           1       0      1        0       0    1    0   \n",
       "4             16   ...           1       0      1        0       0    0    1   \n",
       "\n",
       "   str  Melee  Ranged  \n",
       "0    0      1       0  \n",
       "1    1      1       0  \n",
       "2    0      0       1  \n",
       "3    0      1       0  \n",
       "4    0      0       1  \n",
       "\n",
       "[5 rows x 34 columns]"
      ]
     },
     "execution_count": 103,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hero_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "hero_data.to_csv('train/final_hero_data.csv', index=False, encoding='utf-8')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "Empty DataFrame\n",
       "Columns: [hero_id, base_health, base_health_regen, base_mana, base_mana_regen, base_armor, base_magic_resistance, base_attack_min, base_attack_max, base_strength, base_agility, base_intelligence, strength_gain, agility_gain, intelligence_gain, attack_range, projectile_speed, attack_rate, move_speed, turn_rate, Carry, Jungler, Support, Initiator, Disabler, Escape, Nuker, Durable, Pusher, agi, int, str, Melee, Ranged]\n",
       "Index: []\n",
       "\n",
       "[0 rows x 34 columns]"
      ]
     },
     "execution_count": 106,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train9_hero_add"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def make_hero_data(df, rows):\n",
    "    hero_add = pd.DataFrame(index= np.arange(0, rows), columns=hero_data.columns)\n",
    "    i = 0\n",
    "    for r in df['hero_id']:\n",
    "        hero_add.loc[i] = hero_data[hero_data['hero_id'] == r].values.tolist()[0]\n",
    "        i = i + 1\n",
    "    return hero_add"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {},
   "outputs": [],
   "source": [
    "train9_hd = make_hero_data(train9)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {},
   "outputs": [
    {
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       "      <td>29</td>\n",
       "      <td>16</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>106</td>\n",
       "      <td>200</td>\n",
       "      <td>2.00</td>\n",
       "      <td>75</td>\n",
       "      <td>0.9</td>\n",
       "      <td>-2.0</td>\n",
       "      <td>25</td>\n",
       "      <td>30</td>\n",
       "      <td>34</td>\n",
       "      <td>19</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2</td>\n",
       "      <td>200</td>\n",
       "      <td>4.25</td>\n",
       "      <td>75</td>\n",
       "      <td>0.9</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>25</td>\n",
       "      <td>24</td>\n",
       "      <td>28</td>\n",
       "      <td>25</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
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       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 34 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "  hero_id base_health  base_health_regen base_mana  base_mana_regen  \\\n",
       "0      74         200               1.50        75              0.9   \n",
       "1      65         200               3.25        75              0.9   \n",
       "2      39         200               1.50        75              0.9   \n",
       "3     106         200               2.00        75              0.9   \n",
       "4       2         200               4.25        75              0.9   \n",
       "\n",
       "   base_armor base_magic_resistance base_attack_min base_attack_max  \\\n",
       "0        -1.0                    25              19              25   \n",
       "1         0.0                    25              14              18   \n",
       "2        -1.0                    25              21              29   \n",
       "3        -2.0                    25              30              34   \n",
       "4        -1.0                    25              24              28   \n",
       "\n",
       "  base_strength   ...   Disabler Escape  Nuker  Durable  Pusher agi int  str  \\\n",
       "0            16   ...          1      1      1        0       1   0   1    0   \n",
       "1            23   ...          1      1      0        0       0   0   1    0   \n",
       "2            16   ...          0      1      1        0       0   0   1    0   \n",
       "3            19   ...          1      1      1        0       0   1   0    0   \n",
       "4            25   ...          1      0      0        1       0   0   0    1   \n",
       "\n",
       "  Melee  Ranged  \n",
       "0     0       1  \n",
       "1     0       1  \n",
       "2     0       1  \n",
       "3     1       0  \n",
       "4     1       0  \n",
       "\n",
       "[5 rows x 34 columns]"
      ]
     },
     "execution_count": 119,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train9_hd.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "train1_hd = make_hero_data(train1, train1.shape[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>3</th>\n",
       "      <td>65</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 34 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "  hero_id base_health base_health_regen base_mana base_mana_regen base_armor  \\\n",
       "0      41         200                 2        75             0.9          0   \n",
       "1      17         200               1.5        75             0.9          2   \n",
       "2     106         200                 2        75             0.9         -2   \n",
       "3      65         200              3.25        75             0.9          0   \n",
       "4      69         200               1.5        75             0.9         -1   \n",
       "\n",
       "  base_magic_resistance base_attack_min base_attack_max base_strength  ...    \\\n",
       "0                    25              33              39            23  ...     \n",
       "1                    25              22              32            19  ...     \n",
       "2                    25              30              34            19  ...     \n",
       "3                    25              14              18            23  ...     \n",
       "4                    25              27              43            26  ...     \n",
       "\n",
       "  Disabler Escape Nuker Durable Pusher agi int str Melee Ranged  \n",
       "0        1      1     0       1      0   1   0   0     1      0  \n",
       "1        1      1     1       0      0   0   1   0     0      1  \n",
       "2        1      1     1       0      0   1   0   0     1      0  \n",
       "3        1      1     0       0      0   0   1   0     0      1  \n",
       "4        1      0     1       1      0   0   0   1     1      0  \n",
       "\n",
       "[5 rows x 34 columns]"
      ]
     },
     "execution_count": 136,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train1_hd.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "metadata": {},
   "outputs": [],
   "source": [
    "test9_hd = make_hero_data(test9, test9.shape[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>33</td>\n",
       "      <td>39</td>\n",
       "      <td>23</td>\n",
       "      <td>...</td>\n",
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       "      <td>1</td>\n",
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       "      <td>1</td>\n",
       "      <td>0</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 34 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "  hero_id base_health base_health_regen base_mana base_mana_regen base_armor  \\\n",
       "0      65         200              3.25        75             0.9          0   \n",
       "1     104         200               1.5        75             0.9          0   \n",
       "2       7         200                 2        75             0.9          1   \n",
       "3      19         200               2.5        75             0.9          0   \n",
       "4       4         200               1.5        75             0.9          0   \n",
       "\n",
       "  base_magic_resistance base_attack_min base_attack_max base_strength  ...    \\\n",
       "0                    25              14              18            23  ...     \n",
       "1                    25              35              39            26  ...     \n",
       "2                    25              24              34            22  ...     \n",
       "3                    25              44              50            30  ...     \n",
       "4                    25              33              39            23  ...     \n",
       "\n",
       "  Disabler Escape Nuker Durable Pusher agi int str Melee Ranged  \n",
       "0        1      1     0       0      0   0   1   0     0      1  \n",
       "1        1      0     1       1      0   0   0   1     1      0  \n",
       "2        1      0     1       0      0   0   0   1     1      0  \n",
       "3        1      0     1       1      1   0   0   1     1      0  \n",
       "4        1      0     1       0      0   1   0   0     1      0  \n",
       "\n",
       "[5 rows x 34 columns]"
      ]
     },
     "execution_count": 145,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test9_hd.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "test1_hd = make_hero_data(test1, test1.shape[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>Nuker</th>\n",
       "      <th>Durable</th>\n",
       "      <th>Pusher</th>\n",
       "      <th>agi</th>\n",
       "      <th>int</th>\n",
       "      <th>str</th>\n",
       "      <th>Melee</th>\n",
       "      <th>Ranged</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>53</td>\n",
       "      <td>200</td>\n",
       "      <td>1.5</td>\n",
       "      <td>75</td>\n",
       "      <td>0.9</td>\n",
       "      <td>1</td>\n",
       "      <td>25</td>\n",
       "      <td>30</td>\n",
       "      <td>44</td>\n",
       "      <td>19</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>17</td>\n",
       "      <td>200</td>\n",
       "      <td>1.5</td>\n",
       "      <td>75</td>\n",
       "      <td>0.9</td>\n",
       "      <td>2</td>\n",
       "      <td>25</td>\n",
       "      <td>22</td>\n",
       "      <td>32</td>\n",
       "      <td>19</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>51</td>\n",
       "      <td>200</td>\n",
       "      <td>1.5</td>\n",
       "      <td>75</td>\n",
       "      <td>0.9</td>\n",
       "      <td>0</td>\n",
       "      <td>25</td>\n",
       "      <td>28</td>\n",
       "      <td>30</td>\n",
       "      <td>26</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>54</td>\n",
       "      <td>200</td>\n",
       "      <td>1.5</td>\n",
       "      <td>75</td>\n",
       "      <td>0.9</td>\n",
       "      <td>-1</td>\n",
       "      <td>25</td>\n",
       "      <td>27</td>\n",
       "      <td>37</td>\n",
       "      <td>25</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>74</td>\n",
       "      <td>200</td>\n",
       "      <td>1.5</td>\n",
       "      <td>75</td>\n",
       "      <td>0.9</td>\n",
       "      <td>-1</td>\n",
       "      <td>25</td>\n",
       "      <td>19</td>\n",
       "      <td>25</td>\n",
       "      <td>16</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 34 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "  hero_id base_health base_health_regen base_mana base_mana_regen base_armor  \\\n",
       "0      53         200               1.5        75             0.9          1   \n",
       "1      17         200               1.5        75             0.9          2   \n",
       "2      51         200               1.5        75             0.9          0   \n",
       "3      54         200               1.5        75             0.9         -1   \n",
       "4      74         200               1.5        75             0.9         -1   \n",
       "\n",
       "  base_magic_resistance base_attack_min base_attack_max base_strength  ...    \\\n",
       "0                    25              30              44            19  ...     \n",
       "1                    25              22              32            19  ...     \n",
       "2                    25              28              30            26  ...     \n",
       "3                    25              27              37            25  ...     \n",
       "4                    25              19              25            16  ...     \n",
       "\n",
       "  Disabler Escape Nuker Durable Pusher agi int str Melee Ranged  \n",
       "0        0      1     1       0      1   0   1   0     0      1  \n",
       "1        1      1     1       0      0   0   1   0     0      1  \n",
       "2        1      0     1       1      0   0   0   1     1      0  \n",
       "3        1      1     0       1      0   0   0   1     1      0  \n",
       "4        1      1     1       0      1   0   1   0     0      1  \n",
       "\n",
       "[5 rows x 34 columns]"
      ]
     },
     "execution_count": 149,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test1_hd.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 150,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "train9.drop('hero_id', axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 151,
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "   user_id     id  num_games  num_wins    kda_ratio\n",
       "0        1   1_74        304       185  3743.699732\n",
       "1        1   1_65        255       151  4009.021513\n",
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       "3        1  1_106        158       106  4619.212963\n",
       "4        1    1_2        157        94  2871.627907"
      ]
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    }
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   "source": [
    "train9.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 152,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "train1.drop('hero_id', axis=1, inplace=True)\n",
    "test9.drop('hero_id', axis=1, inplace=True)\n",
    "test1.drop('hero_id', axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 153,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "train9 = train9.join(train9_hd)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "metadata": {},
   "outputs": [
    {
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       "<p>5 rows × 39 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   user_id     id  num_games  num_wins    kda_ratio hero_id base_health  \\\n",
       "0        1   1_74        304       185  3743.699732      74         200   \n",
       "1        1   1_65        255       151  4009.021513      65         200   \n",
       "2        1   1_39        203       135  5094.621514      39         200   \n",
       "3        1  1_106        158       106  4619.212963     106         200   \n",
       "4        1    1_2        157        94  2871.627907       2         200   \n",
       "\n",
       "   base_health_regen base_mana  base_mana_regen   ...    Disabler Escape  \\\n",
       "0               1.50        75              0.9   ...           1      1   \n",
       "1               3.25        75              0.9   ...           1      1   \n",
       "2               1.50        75              0.9   ...           0      1   \n",
       "3               2.00        75              0.9   ...           1      1   \n",
       "4               4.25        75              0.9   ...           1      0   \n",
       "\n",
       "  Nuker Durable Pusher agi int  str  Melee  Ranged  \n",
       "0     1       0      1   0   1    0      0       1  \n",
       "1     0       0      0   0   1    0      0       1  \n",
       "2     1       0      0   0   1    0      0       1  \n",
       "3     1       0      0   1   0    0      1       0  \n",
       "4     0       1      0   0   0    1      1       0  \n",
       "\n",
       "[5 rows x 39 columns]"
      ]
     },
     "execution_count": 154,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train9.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "train1 = train1.join(train1_hd)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "test9 = test9.join(test9_hd)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 157,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "test1 = test1.join(test1_hd)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 158,
   "metadata": {},
   "outputs": [
    {
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       "      <td>2922.058381</td>\n",
       "      <td>17</td>\n",
       "      <td>200</td>\n",
       "      <td>1.5</td>\n",
       "      <td>75</td>\n",
       "      <td>0.9</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>5</td>\n",
       "      <td>5_106</td>\n",
       "      <td>240</td>\n",
       "      <td>130</td>\n",
       "      <td>5116.682739</td>\n",
       "      <td>106</td>\n",
       "      <td>200</td>\n",
       "      <td>2</td>\n",
       "      <td>75</td>\n",
       "      <td>0.9</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>6</td>\n",
       "      <td>6_65</td>\n",
       "      <td>206</td>\n",
       "      <td>122</td>\n",
       "      <td>4131.553861</td>\n",
       "      <td>65</td>\n",
       "      <td>200</td>\n",
       "      <td>3.25</td>\n",
       "      <td>75</td>\n",
       "      <td>0.9</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>7</td>\n",
       "      <td>7_69</td>\n",
       "      <td>697</td>\n",
       "      <td>382</td>\n",
       "      <td>2474.469306</td>\n",
       "      <td>69</td>\n",
       "      <td>200</td>\n",
       "      <td>1.5</td>\n",
       "      <td>75</td>\n",
       "      <td>0.9</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 39 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   user_id     id  num_games  num_wins    kda_ratio hero_id base_health  \\\n",
       "0        1   1_41        201       125  3731.707317      41         200   \n",
       "1        2   2_17        427       234  2922.058381      17         200   \n",
       "2        5  5_106        240       130  5116.682739     106         200   \n",
       "3        6   6_65        206       122  4131.553861      65         200   \n",
       "4        7   7_69        697       382  2474.469306      69         200   \n",
       "\n",
       "  base_health_regen base_mana base_mana_regen  ...   Disabler Escape Nuker  \\\n",
       "0                 2        75             0.9  ...          1      1     0   \n",
       "1               1.5        75             0.9  ...          1      1     1   \n",
       "2                 2        75             0.9  ...          1      1     1   \n",
       "3              3.25        75             0.9  ...          1      1     0   \n",
       "4               1.5        75             0.9  ...          1      0     1   \n",
       "\n",
       "  Durable Pusher agi int str Melee Ranged  \n",
       "0       1      0   1   0   0     1      0  \n",
       "1       0      0   0   1   0     0      1  \n",
       "2       0      0   1   0   0     1      0  \n",
       "3       0      0   0   1   0     0      1  \n",
       "4       1      0   0   0   1     1      0  \n",
       "\n",
       "[5 rows x 39 columns]"
      ]
     },
     "execution_count": 158,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train1.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 159,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
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       "      <td>0</td>\n",
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       "      <th>3</th>\n",
       "      <td>10</td>\n",
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       "      <td>189</td>\n",
       "      <td>54</td>\n",
       "      <td>200</td>\n",
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       "      <td>15</td>\n",
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       "      <td>0</td>\n",
       "      <td>1</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 37 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   user_id     id  num_games hero_id base_health base_health_regen base_mana  \\\n",
       "0        3   3_53        278      53         200               1.5        75   \n",
       "1        4   4_17        180      17         200               1.5        75   \n",
       "2        9   9_51         70      51         200               1.5        75   \n",
       "3       10  10_54        189      54         200               1.5        75   \n",
       "4       15  15_74        263      74         200               1.5        75   \n",
       "\n",
       "  base_mana_regen base_armor base_magic_resistance  ...   Disabler Escape  \\\n",
       "0             0.9          1                    25  ...          0      1   \n",
       "1             0.9          2                    25  ...          1      1   \n",
       "2             0.9          0                    25  ...          1      0   \n",
       "3             0.9         -1                    25  ...          1      1   \n",
       "4             0.9         -1                    25  ...          1      1   \n",
       "\n",
       "  Nuker Durable Pusher agi int str Melee Ranged  \n",
       "0     1       0      1   0   1   0     0      1  \n",
       "1     1       0      0   0   1   0     0      1  \n",
       "2     1       1      0   0   0   1     1      0  \n",
       "3     0       1      0   0   0   1     1      0  \n",
       "4     1       0      1   0   1   0     0      1  \n",
       "\n",
       "[5 rows x 37 columns]"
      ]
     },
     "execution_count": 159,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test1.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 160,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>3_7</td>\n",
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       "      <td>7</td>\n",
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       "      <td>0.9</td>\n",
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       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>3_19</td>\n",
       "      <td>189</td>\n",
       "      <td>91</td>\n",
       "      <td>3493.495230</td>\n",
       "      <td>19</td>\n",
       "      <td>200</td>\n",
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       "      <td>102</td>\n",
       "      <td>3586.402266</td>\n",
       "      <td>4</td>\n",
       "      <td>200</td>\n",
       "      <td>1.5</td>\n",
       "      <td>75</td>\n",
       "      <td>0.9</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
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       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 39 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   user_id     id  num_games  num_wins    kda_ratio hero_id base_health  \\\n",
       "0        3   3_65        330       183  3418.470419      65         200   \n",
       "1        3  3_104        231       107  2522.639069     104         200   \n",
       "2        3    3_7        200       103  2793.255132       7         200   \n",
       "3        3   3_19        189        91  3493.495230      19         200   \n",
       "4        3    3_4        182       102  3586.402266       4         200   \n",
       "\n",
       "  base_health_regen base_mana base_mana_regen  ...   Disabler Escape Nuker  \\\n",
       "0              3.25        75             0.9  ...          1      1     0   \n",
       "1               1.5        75             0.9  ...          1      0     1   \n",
       "2                 2        75             0.9  ...          1      0     1   \n",
       "3               2.5        75             0.9  ...          1      0     1   \n",
       "4               1.5        75             0.9  ...          1      0     1   \n",
       "\n",
       "  Durable Pusher agi int str Melee Ranged  \n",
       "0       0      0   0   1   0     0      1  \n",
       "1       1      0   0   0   1     1      0  \n",
       "2       0      0   0   0   1     1      0  \n",
       "3       1      1   0   0   1     1      0  \n",
       "4       0      0   1   0   0     1      0  \n",
       "\n",
       "[5 rows x 39 columns]"
      ]
     },
     "execution_count": 160,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test9.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 161,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "train9.to_csv('train/train9_final.csv', index=False, encoding='utf-8')\n",
    "train1.to_csv('train/train1_final.csv', index=False, encoding='utf-8')\n",
    "test9.to_csv('test/test9_final.csv', index=False, encoding='utf-8')\n",
    "test1.to_csv('test/test1_final.csv', index=False, encoding='utf-8')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def make_enc_hero_data(df, rows):\n",
    "    hero_add = pd.DataFrame(index= np.arange(0, rows), columns=encoded_hero.columns)\n",
    "    i = 0\n",
    "    for r in df['hero_id']:\n",
    "        hero_add.loc[i] = encoded_hero[encoded_hero['hero_id'] == r].values.tolist()[0]\n",
    "        i = i + 1\n",
    "    return hero_add"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "t9 = make_enc_hero_data(train9, train9.shape[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "train9.drop('hero_id', axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "train9 = train9.join(t9)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "t1 = make_enc_hero_data(train1, train1.shape[0])\n",
    "train1.drop('hero_id', axis=1, inplace=True)\n",
    "train1 = train1.join(t1)\n",
    "\n",
    "te9 = make_enc_hero_data(test9, test9.shape[0])\n",
    "test9.drop('hero_id', axis=1, inplace=True)\n",
    "test9 = test9.join(te9)\n",
    "\n",
    "te1 = make_enc_hero_data(test1, test1.shape[0])\n",
    "test1.drop('hero_id', axis=1, inplace=True)\n",
    "test1 = test1.join(te1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "train9.to_csv('train/train9_enc.csv', index=False, encoding='utf-8')\n",
    "train1.to_csv('train/train1_enc.csv', index=False, encoding='utf-8')\n",
    "test9.to_csv('test/test9_enc.csv', index=False, encoding='utf-8')\n",
    "test1.to_csv('test/test1_enc.csv', index=False, encoding='utf-8')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['user_id', 'id', 'num_games', 'num_wins', 'kda_ratio', 'f1', 'f2', 'f3',\n",
       "       'f4', 'hero_id'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train9.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "temp = train9[train9['user_id'] == 1][['num_games', 'f1', 'f2', 'f3', 'f4', 'num_wins','kda_ratio']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>num_games</th>\n",
       "      <th>f1</th>\n",
       "      <th>f2</th>\n",
       "      <th>f3</th>\n",
       "      <th>f4</th>\n",
       "      <th>num_wins</th>\n",
       "      <th>kda_ratio</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>304</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>185</td>\n",
       "      <td>3743</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>255</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>151</td>\n",
       "      <td>4009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>203</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>135</td>\n",
       "      <td>5094</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>158</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "      <td>106</td>\n",
       "      <td>4619</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>157</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>94</td>\n",
       "      <td>2871</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>154</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>-1</td>\n",
       "      <td>103</td>\n",
       "      <td>3533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>128</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "      <td>78</td>\n",
       "      <td>3635</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>118</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>75</td>\n",
       "      <td>3732</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>116</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>65</td>\n",
       "      <td>3477</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   num_games  f1  f2  f3  f4  num_wins  kda_ratio\n",
       "0        304   0   0   0   0       185       3743\n",
       "1        255   0   1   0   0       151       4009\n",
       "2        203   0   0   0   0       135       5094\n",
       "3        158   0   0   1  -1       106       4619\n",
       "4        157   0   0   1   0        94       2871\n",
       "5        154   0   0   0  -1       103       3533\n",
       "6        128   0   0   1  -1        78       3635\n",
       "7        118   0   0   0   0        75       3732\n",
       "8        116   0   0   1   0        65       3477"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "temp.astype(int)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>num_games</th>\n",
       "      <th>num_wins</th>\n",
       "      <th>kda_ratio</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>num_games</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.987247</td>\n",
       "      <td>0.245599</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>num_wins</th>\n",
       "      <td>0.987247</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.348015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>kda_ratio</th>\n",
       "      <td>0.245599</td>\n",
       "      <td>0.348015</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           num_games  num_wins  kda_ratio\n",
       "num_games   1.000000  0.987247   0.245599\n",
       "num_wins    0.987247  1.000000   0.348015\n",
       "kda_ratio   0.245599  0.348015   1.000000"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "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",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var 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",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\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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       "<img 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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x232c5b1b240>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sns.heatmap(corr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "train9 = pd.read_csv('train/train9_enc.csv')\n",
    "train1 = pd.read_csv('train/train1_enc.csv')\n",
    "test9 = pd.read_csv('test/test9_enc.csv')\n",
    "test1 = pd.read_csv('test/test1_enc.csv')\n",
    "encoded_hero = pd.read_csv('train/encoded_hero_data.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "corr = train9[train9['user_id'] == 1][['num_games', 'num_wins', 'f1', 'f2', 'f3', 'f4', 'kda_ratio']].corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>num_games</th>\n",
       "      <th>num_wins</th>\n",
       "      <th>f1</th>\n",
       "      <th>f2</th>\n",
       "      <th>f3</th>\n",
       "      <th>f4</th>\n",
       "      <th>kda_ratio</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>num_games</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.987247</td>\n",
       "      <td>-0.085666</td>\n",
       "      <td>0.536889</td>\n",
       "      <td>-0.546098</td>\n",
       "      <td>0.434498</td>\n",
       "      <td>0.245599</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>num_wins</th>\n",
       "      <td>0.987247</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.055994</td>\n",
       "      <td>0.510458</td>\n",
       "      <td>-0.626393</td>\n",
       "      <td>0.350831</td>\n",
       "      <td>0.348015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>f1</th>\n",
       "      <td>-0.085666</td>\n",
       "      <td>0.055994</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.296046</td>\n",
       "      <td>-0.500496</td>\n",
       "      <td>-0.592141</td>\n",
       "      <td>0.675774</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>f2</th>\n",
       "      <td>0.536889</td>\n",
       "      <td>0.510458</td>\n",
       "      <td>-0.296046</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.430225</td>\n",
       "      <td>0.337328</td>\n",
       "      <td>0.208010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>f3</th>\n",
       "      <td>-0.546098</td>\n",
       "      <td>-0.626393</td>\n",
       "      <td>-0.500496</td>\n",
       "      <td>-0.430225</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.108828</td>\n",
       "      <td>-0.472486</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>f4</th>\n",
       "      <td>0.434498</td>\n",
       "      <td>0.350831</td>\n",
       "      <td>-0.592141</td>\n",
       "      <td>0.337328</td>\n",
       "      <td>-0.108828</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.398442</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>kda_ratio</th>\n",
       "      <td>0.245599</td>\n",
       "      <td>0.348015</td>\n",
       "      <td>0.675774</td>\n",
       "      <td>0.208010</td>\n",
       "      <td>-0.472486</td>\n",
       "      <td>-0.398442</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           num_games  num_wins        f1        f2        f3        f4  \\\n",
       "num_games   1.000000  0.987247 -0.085666  0.536889 -0.546098  0.434498   \n",
       "num_wins    0.987247  1.000000  0.055994  0.510458 -0.626393  0.350831   \n",
       "f1         -0.085666  0.055994  1.000000 -0.296046 -0.500496 -0.592141   \n",
       "f2          0.536889  0.510458 -0.296046  1.000000 -0.430225  0.337328   \n",
       "f3         -0.546098 -0.626393 -0.500496 -0.430225  1.000000 -0.108828   \n",
       "f4          0.434498  0.350831 -0.592141  0.337328 -0.108828  1.000000   \n",
       "kda_ratio   0.245599  0.348015  0.675774  0.208010 -0.472486 -0.398442   \n",
       "\n",
       "           kda_ratio  \n",
       "num_games   0.245599  \n",
       "num_wins    0.348015  \n",
       "f1          0.675774  \n",
       "f2          0.208010  \n",
       "f3         -0.472486  \n",
       "f4         -0.398442  \n",
       "kda_ratio   1.000000  "
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "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",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var 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",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\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=\"914\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x232c91b90b8>"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sns.heatmap(corr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "corr = train9[train9['user_id'] == 2][['num_games', 'num_wins', 'f1', 'f2', 'f3', 'f4', 'kda_ratio']].corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "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",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var 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",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\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=\"974\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x232c95596d8>"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sns.heatmap(corr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "corr = train9[['num_games', 'num_wins', 'f1', 'f2', 'f3', 'f4', 'kda_ratio']].corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "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",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var 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",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x232c960d208>"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sns.heatmap(corr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}