wifi_fingerprinting.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import utm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_df = pd.read_csv('trainingData.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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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>WAP001</th>\n",
       "      <th>WAP002</th>\n",
       "      <th>WAP003</th>\n",
       "      <th>WAP004</th>\n",
       "      <th>WAP005</th>\n",
       "      <th>WAP006</th>\n",
       "      <th>WAP007</th>\n",
       "      <th>WAP008</th>\n",
       "      <th>WAP009</th>\n",
       "      <th>WAP010</th>\n",
       "      <th>...</th>\n",
       "      <th>WAP520</th>\n",
       "      <th>LONGITUDE</th>\n",
       "      <th>LATITUDE</th>\n",
       "      <th>FLOOR</th>\n",
       "      <th>BUILDINGID</th>\n",
       "      <th>SPACEID</th>\n",
       "      <th>RELATIVEPOSITION</th>\n",
       "      <th>USERID</th>\n",
       "      <th>PHONEID</th>\n",
       "      <th>TIMESTAMP</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>...</td>\n",
       "      <td>100</td>\n",
       "      <td>-7541.2643</td>\n",
       "      <td>4.864921e+06</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>106</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>23</td>\n",
       "      <td>1371713733</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>...</td>\n",
       "      <td>100</td>\n",
       "      <td>-7536.6212</td>\n",
       "      <td>4.864934e+06</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>106</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>23</td>\n",
       "      <td>1371713691</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>-97</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>...</td>\n",
       "      <td>100</td>\n",
       "      <td>-7519.1524</td>\n",
       "      <td>4.864950e+06</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>103</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>23</td>\n",
       "      <td>1371714095</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>...</td>\n",
       "      <td>100</td>\n",
       "      <td>-7524.5704</td>\n",
       "      <td>4.864934e+06</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>102</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>23</td>\n",
       "      <td>1371713807</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>...</td>\n",
       "      <td>100</td>\n",
       "      <td>-7632.1436</td>\n",
       "      <td>4.864982e+06</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>122</td>\n",
       "      <td>2</td>\n",
       "      <td>11</td>\n",
       "      <td>13</td>\n",
       "      <td>1369909710</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 529 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   WAP001  WAP002  WAP003  WAP004  WAP005  WAP006  WAP007  WAP008  WAP009  \\\n",
       "0     100     100     100     100     100     100     100     100     100   \n",
       "1     100     100     100     100     100     100     100     100     100   \n",
       "2     100     100     100     100     100     100     100     -97     100   \n",
       "3     100     100     100     100     100     100     100     100     100   \n",
       "4     100     100     100     100     100     100     100     100     100   \n",
       "\n",
       "   WAP010  ...  WAP520  LONGITUDE      LATITUDE  FLOOR  BUILDINGID  SPACEID  \\\n",
       "0     100  ...     100 -7541.2643  4.864921e+06      2           1      106   \n",
       "1     100  ...     100 -7536.6212  4.864934e+06      2           1      106   \n",
       "2     100  ...     100 -7519.1524  4.864950e+06      2           1      103   \n",
       "3     100  ...     100 -7524.5704  4.864934e+06      2           1      102   \n",
       "4     100  ...     100 -7632.1436  4.864982e+06      0           0      122   \n",
       "\n",
       "   RELATIVEPOSITION  USERID  PHONEID   TIMESTAMP  \n",
       "0                 2       2       23  1371713733  \n",
       "1                 2       2       23  1371713691  \n",
       "2                 2       2       23  1371714095  \n",
       "3                 2       2       23  1371713807  \n",
       "4                 2      11       13  1369909710  \n",
       "\n",
       "[5 rows x 529 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(19937, 529)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1b14442aba8>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "train_df['BUILDINGID'].plot.hist(bins=5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1b145251550>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "train_df['FLOOR'].plot.hist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['WAP001', 'WAP002', 'WAP003', 'WAP004', 'WAP005', 'WAP006', 'WAP007',\n",
       "       'WAP008', 'WAP009', 'WAP010',\n",
       "       ...\n",
       "       'WAP520', 'LONGITUDE', 'LATITUDE', 'FLOOR', 'BUILDINGID', 'SPACEID',\n",
       "       'RELATIVEPOSITION', 'USERID', 'PHONEID', 'TIMESTAMP'],\n",
       "      dtype='object', length=529)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "123"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(train_df['SPACEID'].unique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([106, 103, 102, 122, 105, 101, 112, 104, 110, 108, 109, 111, 107,\n",
       "        15,  29, 117,  16,  28,  22,  10,   2,   4,   3,   5,   6,   9,\n",
       "        27,   8,   7,  26,  18, 216,  17, 217, 247, 248, 246, 245, 244,\n",
       "       243, 242, 241, 240, 201, 202, 204, 203, 205, 207, 206, 209, 211,\n",
       "       208, 210, 212, 214, 213, 215, 121, 219, 221, 222, 218, 220, 250,\n",
       "       223, 225, 224, 229, 226, 227, 228, 233, 231, 230, 232, 236, 235,\n",
       "       234, 237, 238, 239, 141, 140, 143, 113, 114, 116, 115, 120, 118,\n",
       "       128, 119, 129, 125, 124, 131, 127, 132, 126, 133, 134, 137, 135,\n",
       "       136, 253, 254, 123, 130, 138, 139, 142, 146, 147, 249, 144,   1,\n",
       "        30,  25,  13,  12,  11,  14], dtype=int64)"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_df['SPACEID'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>WAP001</th>\n",
       "      <th>WAP002</th>\n",
       "      <th>WAP003</th>\n",
       "      <th>WAP004</th>\n",
       "      <th>WAP005</th>\n",
       "      <th>WAP006</th>\n",
       "      <th>WAP007</th>\n",
       "      <th>WAP008</th>\n",
       "      <th>WAP009</th>\n",
       "      <th>WAP010</th>\n",
       "      <th>...</th>\n",
       "      <th>WAP520</th>\n",
       "      <th>LONGITUDE</th>\n",
       "      <th>LATITUDE</th>\n",
       "      <th>FLOOR</th>\n",
       "      <th>BUILDINGID</th>\n",
       "      <th>SPACEID</th>\n",
       "      <th>RELATIVEPOSITION</th>\n",
       "      <th>USERID</th>\n",
       "      <th>PHONEID</th>\n",
       "      <th>TIMESTAMP</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>19917</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>...</td>\n",
       "      <td>100</td>\n",
       "      <td>-7375.148100</td>\n",
       "      <td>4.864774e+06</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>209</td>\n",
       "      <td>2</td>\n",
       "      <td>18</td>\n",
       "      <td>10</td>\n",
       "      <td>1371710012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19918</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>...</td>\n",
       "      <td>100</td>\n",
       "      <td>-7384.873200</td>\n",
       "      <td>4.864781e+06</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>204</td>\n",
       "      <td>2</td>\n",
       "      <td>18</td>\n",
       "      <td>10</td>\n",
       "      <td>1371709984</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19919</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>...</td>\n",
       "      <td>100</td>\n",
       "      <td>-7395.213200</td>\n",
       "      <td>4.864786e+06</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>203</td>\n",
       "      <td>2</td>\n",
       "      <td>18</td>\n",
       "      <td>10</td>\n",
       "      <td>1371709959</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19920</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>...</td>\n",
       "      <td>100</td>\n",
       "      <td>-7352.940800</td>\n",
       "      <td>4.864763e+06</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>223</td>\n",
       "      <td>2</td>\n",
       "      <td>18</td>\n",
       "      <td>10</td>\n",
       "      <td>1371710100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19921</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>...</td>\n",
       "      <td>100</td>\n",
       "      <td>-7336.944300</td>\n",
       "      <td>4.864764e+06</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>218</td>\n",
       "      <td>2</td>\n",
       "      <td>18</td>\n",
       "      <td>10</td>\n",
       "      <td>1371710190</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19922</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>...</td>\n",
       "      <td>100</td>\n",
       "      <td>-7340.191400</td>\n",
       "      <td>4.864758e+06</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>216</td>\n",
       "      <td>2</td>\n",
       "      <td>18</td>\n",
       "      <td>10</td>\n",
       "      <td>1371710165</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19923</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>...</td>\n",
       "      <td>100</td>\n",
       "      <td>-7349.475600</td>\n",
       "      <td>4.864761e+06</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>221</td>\n",
       "      <td>2</td>\n",
       "      <td>18</td>\n",
       "      <td>10</td>\n",
       "      <td>1371710130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19924</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>...</td>\n",
       "      <td>100</td>\n",
       "      <td>-7363.159000</td>\n",
       "      <td>4.864768e+06</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>224</td>\n",
       "      <td>2</td>\n",
       "      <td>18</td>\n",
       "      <td>10</td>\n",
       "      <td>1371710068</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19925</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>...</td>\n",
       "      <td>100</td>\n",
       "      <td>-7327.479452</td>\n",
       "      <td>4.864767e+06</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>206</td>\n",
       "      <td>1</td>\n",
       "      <td>18</td>\n",
       "      <td>10</td>\n",
       "      <td>1371710255</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19926</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>...</td>\n",
       "      <td>100</td>\n",
       "      <td>-7331.496600</td>\n",
       "      <td>4.864768e+06</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>206</td>\n",
       "      <td>2</td>\n",
       "      <td>18</td>\n",
       "      <td>10</td>\n",
       "      <td>1371710239</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19927</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>...</td>\n",
       "      <td>100</td>\n",
       "      <td>-7390.734700</td>\n",
       "      <td>4.864835e+06</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>141</td>\n",
       "      <td>2</td>\n",
       "      <td>18</td>\n",
       "      <td>10</td>\n",
       "      <td>1371710382</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19928</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>...</td>\n",
       "      <td>100</td>\n",
       "      <td>-7331.463800</td>\n",
       "      <td>4.864769e+06</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>207</td>\n",
       "      <td>2</td>\n",
       "      <td>18</td>\n",
       "      <td>10</td>\n",
       "      <td>1371710221</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19929</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>...</td>\n",
       "      <td>100</td>\n",
       "      <td>-7496.900900</td>\n",
       "      <td>4.864897e+06</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>18</td>\n",
       "      <td>10</td>\n",
       "      <td>1371710652</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19930</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>...</td>\n",
       "      <td>100</td>\n",
       "      <td>-7516.198400</td>\n",
       "      <td>4.864890e+06</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>18</td>\n",
       "      <td>10</td>\n",
       "      <td>1371710817</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19931</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>...</td>\n",
       "      <td>100</td>\n",
       "      <td>-7394.577825</td>\n",
       "      <td>4.864837e+06</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>140</td>\n",
       "      <td>1</td>\n",
       "      <td>18</td>\n",
       "      <td>10</td>\n",
       "      <td>1371710420</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19932</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>...</td>\n",
       "      <td>100</td>\n",
       "      <td>-7485.468600</td>\n",
       "      <td>4.864875e+06</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>18</td>\n",
       "      <td>10</td>\n",
       "      <td>1371710683</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19933</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>...</td>\n",
       "      <td>100</td>\n",
       "      <td>-7390.620600</td>\n",
       "      <td>4.864836e+06</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>140</td>\n",
       "      <td>2</td>\n",
       "      <td>18</td>\n",
       "      <td>10</td>\n",
       "      <td>1371710402</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19934</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>...</td>\n",
       "      <td>100</td>\n",
       "      <td>-7516.841500</td>\n",
       "      <td>4.864889e+06</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>13</td>\n",
       "      <td>2</td>\n",
       "      <td>18</td>\n",
       "      <td>10</td>\n",
       "      <td>1371710921</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19935</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>...</td>\n",
       "      <td>100</td>\n",
       "      <td>-7537.321900</td>\n",
       "      <td>4.864896e+06</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>113</td>\n",
       "      <td>2</td>\n",
       "      <td>18</td>\n",
       "      <td>10</td>\n",
       "      <td>1371711049</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19936</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>...</td>\n",
       "      <td>100</td>\n",
       "      <td>-7536.165800</td>\n",
       "      <td>4.864898e+06</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>112</td>\n",
       "      <td>2</td>\n",
       "      <td>18</td>\n",
       "      <td>10</td>\n",
       "      <td>1371711025</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>20 rows × 529 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       WAP001  WAP002  WAP003  WAP004  WAP005  WAP006  WAP007  WAP008  WAP009  \\\n",
       "19917     100     100     100     100     100     100     100     100     100   \n",
       "19918     100     100     100     100     100     100     100     100     100   \n",
       "19919     100     100     100     100     100     100     100     100     100   \n",
       "19920     100     100     100     100     100     100     100     100     100   \n",
       "19921     100     100     100     100     100     100     100     100     100   \n",
       "19922     100     100     100     100     100     100     100     100     100   \n",
       "19923     100     100     100     100     100     100     100     100     100   \n",
       "19924     100     100     100     100     100     100     100     100     100   \n",
       "19925     100     100     100     100     100     100     100     100     100   \n",
       "19926     100     100     100     100     100     100     100     100     100   \n",
       "19927     100     100     100     100     100     100     100     100     100   \n",
       "19928     100     100     100     100     100     100     100     100     100   \n",
       "19929     100     100     100     100     100     100     100     100     100   \n",
       "19930     100     100     100     100     100     100     100     100     100   \n",
       "19931     100     100     100     100     100     100     100     100     100   \n",
       "19932     100     100     100     100     100     100     100     100     100   \n",
       "19933     100     100     100     100     100     100     100     100     100   \n",
       "19934     100     100     100     100     100     100     100     100     100   \n",
       "19935     100     100     100     100     100     100     100     100     100   \n",
       "19936     100     100     100     100     100     100     100     100     100   \n",
       "\n",
       "       WAP010  ...  WAP520    LONGITUDE      LATITUDE  FLOOR  BUILDINGID  \\\n",
       "19917     100  ...     100 -7375.148100  4.864774e+06      1           2   \n",
       "19918     100  ...     100 -7384.873200  4.864781e+06      1           2   \n",
       "19919     100  ...     100 -7395.213200  4.864786e+06      1           2   \n",
       "19920     100  ...     100 -7352.940800  4.864763e+06      1           2   \n",
       "19921     100  ...     100 -7336.944300  4.864764e+06      1           2   \n",
       "19922     100  ...     100 -7340.191400  4.864758e+06      1           2   \n",
       "19923     100  ...     100 -7349.475600  4.864761e+06      1           2   \n",
       "19924     100  ...     100 -7363.159000  4.864768e+06      1           2   \n",
       "19925     100  ...     100 -7327.479452  4.864767e+06      1           2   \n",
       "19926     100  ...     100 -7331.496600  4.864768e+06      1           2   \n",
       "19927     100  ...     100 -7390.734700  4.864835e+06      1           2   \n",
       "19928     100  ...     100 -7331.463800  4.864769e+06      1           2   \n",
       "19929     100  ...     100 -7496.900900  4.864897e+06      3           1   \n",
       "19930     100  ...     100 -7516.198400  4.864890e+06      3           1   \n",
       "19931     100  ...     100 -7394.577825  4.864837e+06      1           2   \n",
       "19932     100  ...     100 -7485.468600  4.864875e+06      3           1   \n",
       "19933     100  ...     100 -7390.620600  4.864836e+06      1           2   \n",
       "19934     100  ...     100 -7516.841500  4.864889e+06      3           1   \n",
       "19935     100  ...     100 -7537.321900  4.864896e+06      3           1   \n",
       "19936     100  ...     100 -7536.165800  4.864898e+06      3           1   \n",
       "\n",
       "       SPACEID  RELATIVEPOSITION  USERID  PHONEID   TIMESTAMP  \n",
       "19917      209                 2      18       10  1371710012  \n",
       "19918      204                 2      18       10  1371709984  \n",
       "19919      203                 2      18       10  1371709959  \n",
       "19920      223                 2      18       10  1371710100  \n",
       "19921      218                 2      18       10  1371710190  \n",
       "19922      216                 2      18       10  1371710165  \n",
       "19923      221                 2      18       10  1371710130  \n",
       "19924      224                 2      18       10  1371710068  \n",
       "19925      206                 1      18       10  1371710255  \n",
       "19926      206                 2      18       10  1371710239  \n",
       "19927      141                 2      18       10  1371710382  \n",
       "19928      207                 2      18       10  1371710221  \n",
       "19929        2                 2      18       10  1371710652  \n",
       "19930        4                 2      18       10  1371710817  \n",
       "19931      140                 1      18       10  1371710420  \n",
       "19932        1                 2      18       10  1371710683  \n",
       "19933      140                 2      18       10  1371710402  \n",
       "19934       13                 2      18       10  1371710921  \n",
       "19935      113                 2      18       10  1371711049  \n",
       "19936      112                 2      18       10  1371711025  \n",
       "\n",
       "[20 rows x 529 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_df.tail(20)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Create a random sample of 30% of the dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "smpl_train = train_df.sample(frac=0.3) #Pick a reasonable random sample of 'n' observations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 5981 entries, 10976 to 5307\n",
      "Columns: 529 entries, WAP001 to TIMESTAMP\n",
      "dtypes: float64(2), int64(527)\n",
      "memory usage: 24.2 MB\n"
     ]
    }
   ],
   "source": [
    "smpl_train.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1b1451cd860>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYAAAAD/CAYAAAD4xAEfAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAFapJREFUeJzt3X+0ZWV93/H3RyYQUSO/Looz6BAdtSSVSG+R1DShogiSCE1lFZMVZhmaWW2IWkmWjrVr0ZqaEpMGaxNppw4KqUGRaJhGIkz4EVebQBh+yA9HywSRGfl1DUhSaWLQb//Yz6yc3Llz7z0/5t47s9+vtc46ez/72c95zjn3nM95nr3PuakqJEn986zl7oAkaXkYAJLUUwaAJPWUASBJPWUASFJPGQCS1FMGgCT1lAEgST1lAEhSTy0YAEkuS/J4knvn2PZLSSrJUW09ST6cZEeSu5OcOFB3fZL722X9ZO+GJGlYqxZR5+PAbwJXDBYmORZ4A/DQQPEZwLp2eQ1wKfCaJEcAFwHTQAG3J9lSVU/Od8NHHXVUrV27dlF3RJLUuf32279RVVML1VswAKrqC0nWzrHpEuDdwDUDZWcBV1T3A0O3JDksyTHAKcDWqnoCIMlW4HTgyvlue+3atWzbtm2hLkqSBiT52mLqjXQMIMmbga9X1RdnbVoN7BxY39XK9lYuSVomi5kC+juSHAq8Dzhtrs1zlNU85XO1vwHYAPDiF7942O5JkhZplBHAS4HjgC8meRBYA9yR5IV0n+yPHai7Bnh4nvI9VNWmqpququmpqQWnsCRJIxo6AKrqnqo6uqrWVtVaujf3E6vqUWALcF47G+hk4KmqegS4DjgtyeFJDqcbPVw3ubshSRrWYk4DvRL4E+AVSXYlOX+e6tcCDwA7gP8O/DxAO/j7y8Bt7fL+3QeEJUnLIyv5P4JNT0+XZwFJ0nCS3F5V0wvV85vAktRTBoAk9dTQp4Eut7UbP7dgnQcvPnMJeiJJ+zdHAJLUUwaAJPWUASBJPWUASFJPGQCS1FMGgCT1lAEgST1lAEhSTxkAktRTBoAk9ZQBIEk9ZQBIUk8ZAJLUUwaAJPWUASBJPWUASFJPGQCS1FMGgCT11IIBkOSyJI8nuXeg7NeSfDnJ3Uk+m+SwgW3vTbIjyVeSvHGg/PRWtiPJxsnfFUnSMBYzAvg4cPqssq3AD1bVq4D/A7wXIMnxwLnAD7R9PpLkoCQHAb8FnAEcD7y11ZUkLZMFA6CqvgA8Mavs+qp6pq3eAqxpy2cBn6yqv66qrwI7gJPaZUdVPVBV3wY+2epKkpbJJI4B/CzwB215NbBzYNuuVra3cknSMhkrAJK8D3gG+MTuojmq1Tzlc7W5Icm2JNtmZmbG6Z4kaR4jB0CS9cCPAz9dVbvfzHcBxw5UWwM8PE/5HqpqU1VNV9X01NTUqN2TJC1gpABIcjrwHuDNVfX0wKYtwLlJDklyHLAO+FPgNmBdkuOSHEx3oHjLeF2XJI1j1UIVklwJnAIclWQXcBHdWT+HAFuTANxSVf+yqu5LchXwJbqpoQuq6jutnV8ArgMOAi6rqvv2wf2RJC3SggFQVW+do3jzPPU/AHxgjvJrgWuH6p0kaZ/xm8CS1FMGgCT1lAEgST1lAEhSTxkAktRTBoAk9ZQBIEk9ZQBIUk8ZAJLUUwaAJPWUASBJPWUASFJPGQCS1FMGgCT1lAEgST1lAEhSTxkAktRTBoAk9ZQBIEk9ZQBIUk8ZAJLUUwaAJPXUggGQ5LIkjye5d6DsiCRbk9zfrg9v5Uny4SQ7ktyd5MSBfda3+vcnWb9v7o4kabEWMwL4OHD6rLKNwA1VtQ64oa0DnAGsa5cNwKXQBQZwEfAa4CTgot2hIUlaHgsGQFV9AXhiVvFZwOVt+XLg7IHyK6pzC3BYkmOANwJbq+qJqnoS2MqeoSJJWkKjHgN4QVU9AtCuj27lq4GdA/V2tbK9lUuSlsmkDwJnjrKap3zPBpINSbYl2TYzMzPRzkmS/taoAfBYm9qhXT/eyncBxw7UWwM8PE/5HqpqU1VNV9X01NTUiN2TJC1k1ADYAuw+k2c9cM1A+XntbKCTgafaFNF1wGlJDm8Hf09rZZKkZbJqoQpJrgROAY5KsovubJ6LgauSnA88BJzTql8LvAnYATwNvA2gqp5I8svAba3e+6tq9oFlSdISWjAAquqte9l06hx1C7hgL+1cBlw2VO8kSfuM3wSWpJ4yACSppwwASeopA0CSesoAkKSeMgAkqacMAEnqKQNAknrKAJCknjIAJKmnDABJ6ikDQJJ6ygCQpJ4yACSppwwASeopA0CSesoAkKSeMgAkqacMAEnqKQNAknpqwX8KfyBbu/FzC9Z58OIzl6AnkrT0HAFIUk+NFQBJ3pXkviT3JrkyyfcmOS7JrUnuT/KpJAe3uoe09R1t+9pJ3AFJ0mhGDoAkq4F3ANNV9YPAQcC5wK8Cl1TVOuBJ4Py2y/nAk1X1MuCSVk+StEzGnQJaBTw7ySrgUOAR4HXA1W375cDZbfmstk7bfmqSjHn7kqQRjRwAVfV14NeBh+je+J8Cbge+WVXPtGq7gNVteTWws+37TKt/5Ki3L0kazzhTQIfTfao/DngR8BzgjDmq1u5d5tk22O6GJNuSbJuZmRm1e5KkBYwzBfR64KtVNVNVfwN8BvhHwGFtSghgDfBwW94FHAvQtj8feGJ2o1W1qaqmq2p6ampqjO5JkuYzTgA8BJyc5NA2l38q8CXgJuAtrc564Jq2vKWt07bfWFV7jAAkSUtjnGMAt9IdzL0DuKe1tQl4D3Bhkh10c/yb2y6bgSNb+YXAxjH6LUka01jfBK6qi4CLZhU/AJw0R92/As4Z5/YkSZPjN4ElqacMAEnqKQNAknrKAJCknjIAJKmnDABJ6ikDQJJ6ygCQpJ4yACSppwwASeopA0CSesoAkKSeMgAkqacMAEnqKQNAknrKAJCknjIAJKmnDABJ6ikDQJJ6ygCQpJ4yACSpp8YKgCSHJbk6yZeTbE/yw0mOSLI1yf3t+vBWN0k+nGRHkruTnDiZuyBJGsW4I4D/DHy+ql4JnABsBzYCN1TVOuCGtg5wBrCuXTYAl45525KkMYwcAEm+D/hRYDNAVX27qr4JnAVc3qpdDpzdls8CrqjOLcBhSY4ZueeSpLGMMwL4fmAG+FiSO5N8NMlzgBdU1SMA7froVn81sHNg/12tTJK0DMYJgFXAicClVfVq4Fv87XTPXDJHWe1RKdmQZFuSbTMzM2N0T5I0n3ECYBewq6pubetX0wXCY7undtr14wP1jx3Yfw3w8OxGq2pTVU1X1fTU1NQY3ZMkzWfkAKiqR4GdSV7Rik4FvgRsAda3svXANW15C3BeOxvoZOCp3VNFkqSlt2rM/d8OfCLJwcADwNvoQuWqJOcDDwHntLrXAm8CdgBPt7qSpGUyVgBU1V3A9BybTp2jbgEXjHN7kqTJ8ZvAktRTBoAk9ZQBIEk9ZQBIUk8ZAJLUUwaAJPWUASBJPWUASFJPGQCS1FMGgCT1lAEgST1lAEhSTxkAktRTBoAk9ZQBIEk9ZQBIUk8ZAJLUU+P+S0gBazd+blH1Hrz4zH3cE0laPEcAktRTBoAk9ZQBIEk95TGAFWYxxxM8liBpEsYeASQ5KMmdSX6/rR+X5NYk9yf5VJKDW/khbX1H27523NuWJI1uElNA7wS2D6z/KnBJVa0DngTOb+XnA09W1cuAS1o9SdIyGSsAkqwBzgQ+2tYDvA64ulW5HDi7LZ/V1mnbT231JUnLYNwRwIeAdwPfbetHAt+sqmfa+i5gdVteDewEaNufavUlSctg5ABI8uPA41V1+2DxHFVrEdsG292QZFuSbTMzM6N2T5K0gHFGAK8F3pzkQeCTdFM/HwIOS7L77KI1wMNteRdwLEDb/nzgidmNVtWmqpququmpqakxuidJms/IAVBV762qNVW1FjgXuLGqfhq4CXhLq7YeuKYtb2nrtO03VtUeIwBJ0tLYF18Eew9wYZIddHP8m1v5ZuDIVn4hsHEf3LYkaZEm8kWwqroZuLktPwCcNEedvwLOmcTtSZLG509BSFJPGQCS1FMGgCT1lAEgST1lAEhSTxkAktRT/j+AA9Qk/0+x/6NAOjAZAFpShom0cjgFJEk9ZQBIUk85BaT90iSPcUh95QhAknrKAJCknnIKSL3nmUnqK0cAktRTBoAk9ZQBIEk9ZQBIUk8ZAJLUU54FJE2IX07T/sYRgCT1lAEgST01cgAkOTbJTUm2J7kvyTtb+RFJtia5v10f3sqT5MNJdiS5O8mJk7oTkqThjTMCeAb4xar6e8DJwAVJjgc2AjdU1TrghrYOcAawrl02AJeOcduSpDGNfBC4qh4BHmnLf5lkO7AaOAs4pVW7HLgZeE8rv6KqCrglyWFJjmntSBrgz1NoKUzkGECStcCrgVuBF+x+U2/XR7dqq4GdA7vtamWz29qQZFuSbTMzM5PoniRpDmMHQJLnAr8L/Ouq+ov5qs5RVnsUVG2qqumqmp6amhq3e5KkvRgrAJJ8D92b/yeq6jOt+LEkx7TtxwCPt/JdwLEDu68BHh7n9iVJoxvnLKAAm4HtVfUbA5u2AOvb8nrgmoHy89rZQCcDTzn/L0nLZ5xvAr8W+BngniR3tbJ/A1wMXJXkfOAh4Jy27VrgTcAO4GngbWPctqRF8oCy9macs4D+F3PP6wOcOkf9Ai4Y9fYkSZPlN4ElqacMAEnqKX8NVNKiTPLXTj0usTI4ApCknnIEIGm/5mhidI4AJKmnHAFIEv0cSTgCkKSeMgAkqaecApKkCdtfppMcAUhSTxkAktRTBoAk9ZQBIEk9ZQBIUk8ZAJLUU54GKkkr1CR/gXUujgAkqacMAEnqKQNAknrKAJCknlryAEhyepKvJNmRZONS374kqbOkAZDkIOC3gDOA44G3Jjl+KfsgSeos9QjgJGBHVT1QVd8GPgmctcR9kCSx9AGwGtg5sL6rlUmSlliqauluLDkHeGNV/Yu2/jPASVX19oE6G4ANbfUVwFcW0fRRwDcm0MVJtbNS27JPS9+WfVr6tuwTvKSqphZqaKm/CbwLOHZgfQ3w8GCFqtoEbBqm0STbqmp63M5Nqp2V2pZ9Wvq27NPSt2WfFm+pp4BuA9YlOS7JwcC5wJYl7oMkiSUeAVTVM0l+AbgOOAi4rKruW8o+SJI6S/5jcFV1LXDthJsdaspoCdpZqW3Zp6Vvyz4tfVv2aZGW9CCwJGnl8KcgJKmnDABJ6ikDQNKSSnJwkvOSvL6t/1SS30xyQZLvWe7+7QtJrhhj35OS/MO2fHySC5O8aSL98hjAypHkHcBnq2rngpWXUJKXAv+U7jsczwD3A1dW1VMjtPVKum9/31pV/3eg/PSq+vwQ7bwG2F5Vf5Hk2cBG4ETgS8CvjNK3PkjyI3Q/yXJvVV2/TH34BN0JKIcC3wSeC3wGOJXuPWn9cvRrUpLMPrU9wD8BbgSoqjcP0dZFdL+dtgrYCrwGuBl4PXBdVX1grL4aAHtK8raq+tiYbRxdVY8Puc9TwLeAPwOuBD5dVTPj9GNW+0dW1Z8Puc87gJ8A/gh4E3AX8CRdIPx8Vd08ZFsXANuBHwLeWVXXtG13VNWJQ7R1H3BCO7V4E/A0cDXdm8gJVfWTi23rQJbkT6vqpLb8c3SP/2eB04D/WVUXL0Of7q6qVyVZBXwdeFFVfSdJgC9W1auWuk+TlOQOug8iHwWKLgCupPveE1X1R0O0dQ/da+UQ4FFgzcCHnlvHfqyq6oC5AH8woXYeGrL+EbMuRwIPAocDRwzRzp1003KnAZuBGeDzwHrgeUP26WLgqLY8DTwA7AC+BvzYEO3cAxzUlg8Fbm7LLwbuHLJP9wDPbctrgW10IcAIbW0fWL5j1ra7hmzr+e3x+jLw5+2yvZUdNkQ7LwQupfvF2yOBf9fu81XAMUP26Q7g3wIvHfNv+c6B5duAqbb8HOCeIds6fdZjthm4G/gd4AVDtHMvcHB7ffzl7tcI8L2Dz+si2/o+4D8Cvw381KxtHxmyrWngJuB/0I12twJPtcft1UO08yzgXW3/H2plD0zg+btz1rah/s7nuux3/xQ+yd4+JYYuKRfbzt3ztPOCIbv1Dbo31kGr6V7EBXz/ItupqvoucD1wfZsPPQN4K/DrwIK/7THgzKra/f8Wfg3451V1W5KX071gh/kq+SrgO3SfQp7XOvrQCPO1B1Wb9qmqB5OcAlyd5CV0j/sw7h0YqX0xyXRVbWv372+GbOsquuH5KVX1KECSF9IF76eBNyyynY8Dn6N7c70J+ARwJt0v3v5Xhvvl28OBw4CbkjxK9wnyU1X18Py77eFZSQ6ne1NKtRFlVX0ryTNDtvUrdB9IAP4T8Ajd6PAngf8GnL3IdjbThe1BwPuATyd5ADiZ7heCh/ExuinJ3wV+Nsk/owuCv27tDeMjwEV0j/sfA++qqjckObVt++HFNNJew5ck+XS7fozRv3P17SSHVtXTwD/YXZjk+cB3R2zz73R2v7rQvRHdSPcCm335f0O08xhdYLxk1mUt8PCQffoluhfG3x8o++o4aT/HtmcP2daXgVVt+ZZZ2xb9yQ94J92nvE2tzbe18ingC0P26UbaJ6KBslXAFcB3hmzr+XRvuH8G3Er3pv8A3VTVCUO29ZVRts33/DFrFMnwo5I7Bpb/Md0b0KPt73zDEO082B6Xr7brF7by547Zp7tmbRu2rRfRTf1A94b7Frofhlx0G3vpx/uA/003ArtjyLbme/6GGqHO2vdMuuNSo+x7yF7Kjxp8vxm5b+M2sNQXuuHjur1s2zlEO5uBH9nLtt8ZoV9r6D4t/gbdp+Shh3zAyyf4OL2dbiTxOrqpiA8BPwr8e+C3h2zrB9oL9JVj9mnN7jegOba9dsQ2nwecQPfpaNHTELPauB549+D+dKPA9wB/OEQ7XxxY/g+ztg073bLHmxfdJ+bTgY9N4O/jUOC4IffZBVwI/GILkwxsu3vcPo14P7YDz5pVth64D/jakG39Cd306zl0I/qzW/mPAduW4/7t68t+dxA4yVvoXkx7/Ex0krOr6veWoVuDffgJuk8ha6vqhcvcl1OAfwW8nO6T9k7g9+h+g2nY4f8Bq02RbKSbojm6FT9G90OFF1fVk4ts5/3AB2vg7KZW/rLWzluG6NMnq+rcxdZfCu2MlEEfqaqZNl32wao6bxn69EHg+qr6w1nlpwP/parWDdHWCcAH6aZW3kX32llPd6D656rqjyfW8RVivwuA+Uzi7J0J9ePZdAfv7l0pfRq0Evu0Uk3qsZrkY74Sn78DvU8r8f5NwoEWAA9V1YuXux+D7NP+bVKP1SQf85X4/B3ofVqJ928S9sezgCZ59s5E2Kf926Qeq0k+5ivx+TvQ+7QS79++tt8FAN0T8Ua6LyMNCt2pW8vBPu3fJvVYTfIxX4nP34Hep5V4//ap/TEAfp/uy0R3zd6Q5Oal7w5gn/Z3k3qsJvmYr8Tn70Dv00q8f/vUAXUMQJK0eP4aqCT1lAEgST1lAEhSTxkAktRTBoAk9dT/B1WTF8keA9CPAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "smpl_train['USERID'].value_counts().plot(kind='bar')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "123"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(smpl_train['SPACEID'].unique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x1b1449436a0>]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Plot longitude against latitude\n",
    "plt.plot(smpl_train['LONGITUDE'],smpl_train['LATITUDE'], 'go') "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "small = smpl_train[['PHONEID','USERID']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>PHONEID</th>\n",
       "      <th>USERID</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>10976</th>\n",
       "      <td>13</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9698</th>\n",
       "      <td>13</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14408</th>\n",
       "      <td>7</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8723</th>\n",
       "      <td>13</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8494</th>\n",
       "      <td>13</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       PHONEID  USERID\n",
       "10976       13      11\n",
       "9698        13      11\n",
       "14408        7      14\n",
       "8723        13      11\n",
       "8494        13      11"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "small.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1b146b75278>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "smpl_train['PHONEID'].value_counts().plot(kind='bar')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "10976   -7536.435900\n",
       "9698    -7545.474833\n",
       "14408   -7345.423300\n",
       "8723    -7370.010600\n",
       "8494    -7653.343301\n",
       "18066   -7662.008200\n",
       "6672    -7417.468600\n",
       "3960    -7468.870245\n",
       "4779    -7311.829500\n",
       "15406   -7460.767900\n",
       "19919   -7395.213200\n",
       "15184   -7447.440600\n",
       "3828    -7441.934193\n",
       "6124    -7422.316300\n",
       "75      -7397.859800\n",
       "4052    -7312.662200\n",
       "18373   -7684.298100\n",
       "15178   -7441.934193\n",
       "15977   -7596.648700\n",
       "15498   -7423.060900\n",
       "5066    -7411.353136\n",
       "15426   -7338.858000\n",
       "3223    -7315.743400\n",
       "15493   -7425.661100\n",
       "880     -7541.264300\n",
       "372     -7480.431492\n",
       "5775    -7458.264200\n",
       "17668   -7685.723500\n",
       "13948   -7536.565800\n",
       "13637   -7549.379435\n",
       "            ...     \n",
       "13615   -7571.093200\n",
       "12358   -7527.402600\n",
       "7907    -7560.377608\n",
       "7561    -7345.423300\n",
       "8040    -7676.627100\n",
       "16975   -7637.002300\n",
       "14407   -7345.423300\n",
       "7336    -7640.289600\n",
       "7406    -7370.010600\n",
       "11856   -7331.496600\n",
       "11151   -7330.786900\n",
       "13426   -7337.716100\n",
       "18310   -7643.428200\n",
       "14428   -7559.442700\n",
       "18665   -7321.846261\n",
       "15872   -7691.338400\n",
       "14427   -7527.402600\n",
       "2339    -7321.037900\n",
       "1304    -7526.554267\n",
       "13105   -7316.906800\n",
       "19590   -7519.111800\n",
       "11959   -7330.097967\n",
       "4801    -7535.227970\n",
       "2576    -7397.859800\n",
       "314     -7363.996100\n",
       "10275   -7632.143600\n",
       "4002    -7435.137300\n",
       "6686    -7457.927200\n",
       "12210   -7345.423300\n",
       "5307    -7314.611700\n",
       "Name: LONGITUDE, Length: 5981, dtype: float64"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "smpl_train['LONGITUDE']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Tobi\\Anaconda2\\lib\\site-packages\\IPython\\core\\display.py:689: UserWarning:\n",
      "\n",
      "Consider using IPython.display.IFrame instead\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\" seamless=\"seamless\" src=\"https://plot.ly/~togobingi/33.embed\" height=\"525px\" width=\"100%\"></iframe>"
      ],
      "text/plain": [
       "<chart_studio.tools.PlotlyDisplay object>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import plotly.plotly as py\n",
    "import plotly.graph_objs as go\n",
    "\n",
    "import numpy as np\n",
    "\n",
    "x, y, z = smpl_train['LONGITUDE'], smpl_train['LATITUDE'], smpl_train['FLOOR'] \n",
    "c = smpl_train['USERID']\n",
    "#x, y, z = np.random.multivariate_normal(np.array([0,0,0]), np.eye(3), 400).transpose()\n",
    "\n",
    "trace1 = go.Scatter3d(\n",
    "    x=x,\n",
    "    y=y,\n",
    "    z=z,\n",
    "    mode='markers',\n",
    "    marker=dict(\n",
    "        size=2,\n",
    "        color=c,                # set color to an array/list of desired values\n",
    "        colorscale='Viridis',   # choose a colorscale\n",
    "        opacity=0.8\n",
    "    )\n",
    ")\n",
    "\n",
    "data = [trace1]\n",
    "layout = go.Layout(\n",
    "    margin=dict(\n",
    "        l=0,\n",
    "        r=0,\n",
    "        b=0,\n",
    "        t=0\n",
    "    )\n",
    ")\n",
    "fig = go.Figure(data=data, layout=layout)\n",
    "py.iplot(fig, filename='3d-scatter-colorscale')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "597538"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "smpl_train['WAP002'].sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Sum all the WAP columns to find columns with no signal (i.e. 100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_results = np.sum(train_df, axis=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1993700.0"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_results.iloc[2] #1,993,700.00"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Remove all columns with no signal"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_df2 = train_df[train_df.columns[train_df.sum() !=1993700]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>WAP001</th>\n",
       "      <th>WAP002</th>\n",
       "      <th>WAP005</th>\n",
       "      <th>WAP006</th>\n",
       "      <th>WAP007</th>\n",
       "      <th>WAP008</th>\n",
       "      <th>WAP009</th>\n",
       "      <th>WAP010</th>\n",
       "      <th>WAP011</th>\n",
       "      <th>WAP012</th>\n",
       "      <th>...</th>\n",
       "      <th>WAP519</th>\n",
       "      <th>LONGITUDE</th>\n",
       "      <th>LATITUDE</th>\n",
       "      <th>FLOOR</th>\n",
       "      <th>BUILDINGID</th>\n",
       "      <th>SPACEID</th>\n",
       "      <th>RELATIVEPOSITION</th>\n",
       "      <th>USERID</th>\n",
       "      <th>PHONEID</th>\n",
       "      <th>TIMESTAMP</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>...</td>\n",
       "      <td>100</td>\n",
       "      <td>-7541.2643</td>\n",
       "      <td>4.864921e+06</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>106</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>23</td>\n",
       "      <td>1371713733</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>...</td>\n",
       "      <td>100</td>\n",
       "      <td>-7536.6212</td>\n",
       "      <td>4.864934e+06</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>106</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>23</td>\n",
       "      <td>1371713691</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>-97</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>...</td>\n",
       "      <td>100</td>\n",
       "      <td>-7519.1524</td>\n",
       "      <td>4.864950e+06</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>103</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>23</td>\n",
       "      <td>1371714095</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>...</td>\n",
       "      <td>100</td>\n",
       "      <td>-7524.5704</td>\n",
       "      <td>4.864934e+06</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>102</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>23</td>\n",
       "      <td>1371713807</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>...</td>\n",
       "      <td>100</td>\n",
       "      <td>-7632.1436</td>\n",
       "      <td>4.864982e+06</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>122</td>\n",
       "      <td>2</td>\n",
       "      <td>11</td>\n",
       "      <td>13</td>\n",
       "      <td>1369909710</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 474 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   WAP001  WAP002  WAP005  WAP006  WAP007  WAP008  WAP009  WAP010  WAP011  \\\n",
       "0     100     100     100     100     100     100     100     100     100   \n",
       "1     100     100     100     100     100     100     100     100     100   \n",
       "2     100     100     100     100     100     -97     100     100     100   \n",
       "3     100     100     100     100     100     100     100     100     100   \n",
       "4     100     100     100     100     100     100     100     100     100   \n",
       "\n",
       "   WAP012  ...  WAP519  LONGITUDE      LATITUDE  FLOOR  BUILDINGID  SPACEID  \\\n",
       "0     100  ...     100 -7541.2643  4.864921e+06      2           1      106   \n",
       "1     100  ...     100 -7536.6212  4.864934e+06      2           1      106   \n",
       "2     100  ...     100 -7519.1524  4.864950e+06      2           1      103   \n",
       "3     100  ...     100 -7524.5704  4.864934e+06      2           1      102   \n",
       "4     100  ...     100 -7632.1436  4.864982e+06      0           0      122   \n",
       "\n",
       "   RELATIVEPOSITION  USERID  PHONEID   TIMESTAMP  \n",
       "0                 2       2       23  1371713733  \n",
       "1                 2       2       23  1371713691  \n",
       "2                 2       2       23  1371714095  \n",
       "3                 2       2       23  1371713807  \n",
       "4                 2      11       13  1369909710  \n",
       "\n",
       "[5 rows x 474 columns]"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_df2.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1b146bf8e80>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "train_df2['WAP452'].plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Slicing and Pandas manipulation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "index = train_df2.index\n",
    "columns = train_df2.columns\n",
    "values = train_df2.values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[1.00000000e+02, 1.00000000e+02, 1.00000000e+02, ...,\n",
       "        2.00000000e+00, 2.30000000e+01, 1.37171373e+09],\n",
       "       [1.00000000e+02, 1.00000000e+02, 1.00000000e+02, ...,\n",
       "        2.00000000e+00, 2.30000000e+01, 1.37171369e+09],\n",
       "       [1.00000000e+02, 1.00000000e+02, 1.00000000e+02, ...,\n",
       "        2.00000000e+00, 2.30000000e+01, 1.37171410e+09],\n",
       "       ...,\n",
       "       [1.00000000e+02, 1.00000000e+02, 1.00000000e+02, ...,\n",
       "        1.80000000e+01, 1.00000000e+01, 1.37171092e+09],\n",
       "       [1.00000000e+02, 1.00000000e+02, 1.00000000e+02, ...,\n",
       "        1.80000000e+01, 1.00000000e+01, 1.37171105e+09],\n",
       "       [1.00000000e+02, 1.00000000e+02, 1.00000000e+02, ...,\n",
       "        1.80000000e+01, 1.00000000e+01, 1.37171102e+09]])"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "values"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Replace 100 (no signal) with -105 so data can be within range"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Tobi\\Anaconda2\\lib\\site-packages\\pandas\\core\\frame.py:4042: SettingWithCopyWarning:\n",
      "\n",
      "\n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "\n"
     ]
    }
   ],
   "source": [
    "#Replace 100(no signal) with -105 so data can be within range \n",
    "train_df2.replace(100, -105, inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Remove users with strange recordings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "#train_df2.drop(train_df2.loc[train_df2.USERID == 7].index, inplace=True)\n",
    "#train_df2.drop(train_df2.loc[train_df2.USERID == 11].index, inplace=True)\n",
    "#train_df2.drop(train_df2.loc[train_df2.USERID == 16].index, inplace=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "train: (19937, 474)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>WAP001</th>\n",
       "      <th>WAP002</th>\n",
       "      <th>WAP005</th>\n",
       "      <th>WAP006</th>\n",
       "      <th>WAP007</th>\n",
       "      <th>WAP008</th>\n",
       "      <th>WAP009</th>\n",
       "      <th>WAP010</th>\n",
       "      <th>WAP011</th>\n",
       "      <th>WAP012</th>\n",
       "      <th>...</th>\n",
       "      <th>WAP519</th>\n",
       "      <th>LONGITUDE</th>\n",
       "      <th>LATITUDE</th>\n",
       "      <th>FLOOR</th>\n",
       "      <th>BUILDINGID</th>\n",
       "      <th>SPACEID</th>\n",
       "      <th>RELATIVEPOSITION</th>\n",
       "      <th>USERID</th>\n",
       "      <th>PHONEID</th>\n",
       "      <th>TIMESTAMP</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-7541.2643</td>\n",
       "      <td>4.864921e+06</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>106</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>23</td>\n",
       "      <td>1371713733</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-7536.6212</td>\n",
       "      <td>4.864934e+06</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>106</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>23</td>\n",
       "      <td>1371713691</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-97</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-7519.1524</td>\n",
       "      <td>4.864950e+06</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>103</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>23</td>\n",
       "      <td>1371714095</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-7524.5704</td>\n",
       "      <td>4.864934e+06</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>102</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>23</td>\n",
       "      <td>1371713807</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-7632.1436</td>\n",
       "      <td>4.864982e+06</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>122</td>\n",
       "      <td>2</td>\n",
       "      <td>11</td>\n",
       "      <td>13</td>\n",
       "      <td>1369909710</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 474 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   WAP001  WAP002  WAP005  WAP006  WAP007  WAP008  WAP009  WAP010  WAP011  \\\n",
       "0    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "1    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "2    -105    -105    -105    -105    -105     -97    -105    -105    -105   \n",
       "3    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "4    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "\n",
       "   WAP012  ...  WAP519  LONGITUDE      LATITUDE  FLOOR  BUILDINGID  SPACEID  \\\n",
       "0    -105  ...    -105 -7541.2643  4.864921e+06      2           1      106   \n",
       "1    -105  ...    -105 -7536.6212  4.864934e+06      2           1      106   \n",
       "2    -105  ...    -105 -7519.1524  4.864950e+06      2           1      103   \n",
       "3    -105  ...    -105 -7524.5704  4.864934e+06      2           1      102   \n",
       "4    -105  ...    -105 -7632.1436  4.864982e+06      0           0      122   \n",
       "\n",
       "   RELATIVEPOSITION  USERID  PHONEID   TIMESTAMP  \n",
       "0                 2       2       23  1371713733  \n",
       "1                 2       2       23  1371713691  \n",
       "2                 2       2       23  1371714095  \n",
       "3                 2       2       23  1371713807  \n",
       "4                 2      11       13  1369909710  \n",
       "\n",
       "[5 rows x 474 columns]"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print ('train:', train_df2.shape)\n",
    "train_df2.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Apply absolute() to Longitude column"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Tobi\\Anaconda2\\lib\\site-packages\\ipykernel_launcher.py:1: SettingWithCopyWarning:\n",
      "\n",
      "\n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "\n"
     ]
    }
   ],
   "source": [
    "train_df2['LONGITUDE']=abs(train_df2['LONGITUDE'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Slice Columns! "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Store all the WAPs in a vairable \n",
    "WAPs = train_df2.loc[:,'WAP001':'WAP519']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1b157e02278>"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "train_df2['WAP501'].plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1b157e4b0b8>"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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B5fqMIBCJEoFz7qq4+WY2HvgU8MGyyTuASWV/nw/4eRK4CKplt7s8X0cQyumM76ahq4C1zrkdZdPmAdPN7DQzmwJMBRZ5jkPaQLMF+pHjA4n2u/KNQ7HzD8Y8tzjLq5qLIpCyNNd8J4LpjGwWwjm3CngQWA08CczUiCEJ2YIad0Xd2H2sRZFIRcoEiXkbPgrgnPuTKtNnA7N97lvyoZH6ch6/7zoh8C/Xw0cD+f/QlcXSlo6Oag6Ku7lXrSbm0fPfjGkKEskjJQLJlK+63JOj7ka6aufh1LbduWb0SJ/q1bpAKnxtLc99xaFQIhCpIddNDwWgTyc5JQLJDV+16w17jnrasvoIWkFnBMkpEUjh7T583Nu2W/lYy6LK9RlbIKErEUghJCmOW1nj1BlE43J9RhDI561EIJlq5Es82OBzA9IykGC/e4/ozqYSPiUCyY1HXnsjk/1+75kNtReq4r5XtjW0fK5rtxnRIUtOiUBE8k3ZMzElApGE0mzXVx+BZEGJQDLVqhEfeb3528Ge/qxDCF6ezwdC+a9UIhAZpdGkkWbLxOhtbTvQk97G25RahpJTIhAJWF7PZFopz9cRhBK5EoFIQuojyJbOCJJTIhCRXFMeSE6JQDLVqtpcIxXtLGvlqt1KFpQIRAIyOgmppai9hfL5KhGItJA6f9Ons6jklAhERApOiUBklJDq7Gt3HaY/5jGbImlQIpBCyGuLzFcfXc03HluddRhBG3dKfouxUFq18nsERRriLxP4HpG0bPvBxlcqkFNCKU1zTIlARHItz53FoZyoeksEZnaZmb1sZsvMbLGZXRFNNzP7npl1mdnrZna5rxhEmuFzZE9Xt7/nI4s0y+cZwS3A15xzlwF/Ef0NcC0wNfqZAfzIYwwSOGtRdc5nH0Ej7+C1bW82vP289m+0Sp7vNRQKn4nAAWdEr98F7IxeTwPucSUvA2ea2Xke4xDxegqel6uWRarxmQi+CNxqZtuBbwM3RtMnAtvLltsRTROpaf7ru7IOwaujvQNZh5A7ee4jeHxFGP/PiRKBmXWa2coKP9OAG4AvOecmAV8Cfjy8WoVNjaknmdmMqG9hcXd3d5IwpY3MvG+p931kWWl/cYP+14vk3gafae3L+CQrO+euqjbPzO4B/iz68yHgruj1DmBS2aLnc7LZqHzbc4A5AB0dHTqhblM5rsy1jAtmbIm0K59NQzuB34xefxTYEL2eB3wmGj10JXDIORfG+ZG03Opdh1Pb1t++vDW1bTXirhc20X2kt+r8u1/c3MJoRBrnMxH8J+A2M1sOfJPSCCGAx4FNQBdwJ/BfPcYgBfKVv1/JsSpt7D47aZ9atYcv3F+9yerrj61mUzRsVHX79P36eWfUXkhiJWoaiuOcexH4YIXpDpjpa79SbGkUtM0kjcNvxXfyDmm4kDdvP3Vc1iHknq4slkLI+vbPSXavHCK+KRGIBKRVF9iJlFMikLaSdc2/muHyPdDwpOCUCCQovu6939DVvxWWHhxKVoIrAUjIlAgkKFNveoJ/WLc39e0mLYg/NLsznUBEAqREIMFZuH5f1iGMceBYX0v2ox4CyYISgUgL1bpKWH3FkgUlAimE6+98mZc37a86/9/c/vyJ/oks2/PVl9C4v/7HLVmHkHtKBFIYs+evqTpvw96j7D/amuYfSde85WNuVSYNUiKQ4Pi6yVqt7YZwc7dKTUM6SxDflAikrcSVmet3Z/+YyFqF+j6dlUgGlAikMPpqXKOgmrcUlRKBiEjBKRFIcPQw8pF0oiK+KRFIcLLqtFWBK0WlRCASGb5hnc++AiUbCZESgbSVPN73/3j/YDY7FokoEYhk7P3/68nY+aHeWlvahxKBtJdAy8xAwxIBlAhExvDaWa3avQRIiUCC85MENxEL4TYRlWhArIRMiUCkBcJMTyIlSgTSVkJveQk8PCkoJQIJVqtHywzvzsdul28/2PS6a3cfSTESkbG8JQIz++dm9pKZrTCzR83sjLJ5N5pZl5mtM7OrfcUgxRNqjfvLD7+edQgiVfk8I7gLmOWc+6fAI8CXAczsEmA6cClwDfBDMxvnMQ7JqdCbeUTahc9EcDGwMHq9APh09HoaMNc51+uc2wx0AVd4jEPaTFyTUVYXXx3sqe85AkpuEiKfiWAl8Ino9R8Ck6LXE4HtZcvtiKaNYGYzzGyxmS3u7u72GKbkzbNr93rdfjNl9c5Dx1OPQ6RVEiUCM+s0s5UVfqYBnwNmmtkS4J3AcJWp0pDqMd8959wc51yHc65jwoQJScKUnKpWIO8/Vr32rQq3SOPGJ1nZOXdVjUU+BmBmFwHXRdN2cPLsAOB8QE+flvrFlPZDansRaZjPUUPnRL9PAb4C3BHNmgdMN7PTzGwKMBVY5CsOya9m2vt/8GyXh0hE2pvPPoLrzWw9sJZSjf8nAM65VcCDwGrgSWCmc0734ZW6xd1GonNN8/0Hw9v12eGsO4lKiBI1DcVxzn0X+G6VebOB2b72Le1BRaZIa+jKYmkrSWrctz29PsVIGvPatjcz27eIEoHkTlxZn+QsYt7y7MYs3L9oW2b7FlEikGA1U7lPowneZ5NUtW2r60CypEQgueO7zDzU019x+tHeAc97FsmGEoEEK6uHzNz61LqK0+9cuMnbPnVCIFlSIpDcie8jSF6kVrsoTUM/pV0pEUiwsuoj8KlafKHHLe1NiUCkTrXK6p4+9SFIPikRSFtJo2Jt1tyj5ocS7Dyr/hARUCIQqVut5pvm0odI9pQIJHfias+5bWvPa9zSFpQIJFjNFerZlahNtiiJZE6JQHIndvhoCnnAZ3muir+ESIlAgtVMB6rf20PEb93USyA5pUQguZNVrdpn/4POFCRLSgTSVrK8+reePgJdnSwhUiKQYDV1ZXH6YbRk28u3H4ydP5TkIgWRGpQIJH8816p9jv6pdrHapn3HYtfb/maPj3BEACUCCVgzxb3Xdvw0nnXQ5EbUoiQ+KRFIkJovMNuzxGzPdyWhUCKQIGVZnoc4CLRdE5yEQYlAguSoXvjFFYntWly26/uSMCgRSHvxOtZfxbG0p0SJwMz+0MxWmdmQmXWMmnejmXWZ2Tozu7ps+jXRtC4zm5Vk/9K+nKte7MY/oSxszbbwLNn6ZrqBiJRJekawEvgUsLB8opldAkwHLgWuAX5oZuPMbBzwA+Ba4BLg+mhZkRGaLdC9tqWncR+jJjsgNtcYXiqSxPgkKzvn1kDFsdHTgLnOuV5gs5l1AVdE87qcc5ui9eZGy65OEoe0H+fCGzKZRjjNvqdqz1EWSYOvPoKJwPayv3dE06pNF6lbEUfQFPAtSwvVPCMws07gvRVm3eSc+3m11SpMc1ROPBX/xc1sBjAD4IILLqgVprSZZjtm27W8LGLyk9apmQicc1c1sd0dwKSyv88Hdkavq00fvd85wByAjo4OfQsKxjmqluqxw0dTacf3dyWBRh5JiHw1Dc0DppvZaWY2BZgKLAJeBaaa2RQzO5VSh/I8TzFIm4ofNZS8oK2WBrKsleuec+JTos5iM/sk8H1gAjDfzJY55652zq0yswcpdQIPADOdc4PROp8HngLGAXc751YlegfStqoV6r7PCEI0qEwgHiUdNfQI8EiVebOB2RWmPw48nmS/0v5CLNCzjEl9BOKTriyWIDlc1YI3rlAMvbhUeS4hUiIQqVOtMtxnIa+WIfFJiUCCFNshnNFd57KszeuCMvFJiUCCFDN6NHZkUOjDM5uNTmcE4pMSgQQprh8grlBMpeIc4AMJ1FksPikRSLCqPo8gx3cfbTbHqGlIfFIikCDFdwNkUyimsd/m76qaeNciVSkRSJCci+kjiG0aCrvEbP7uo+nGIVJOiUDC1GTBl04XQeUGnHTuY9TceqEnOMk3JQLJnSIWiuojEJ8sD1+qMyZd7H7jS3OyDkM82LD3aMXpF054BzjYVOXJXFPPOb3qunHzfu2c07GY/catW2v++ya8g1PMvGx7eL6MFXfM8sDn59r5339riXOuo9Zyie411Cq/9LZxTD1XX4J2dOBYH/uP9Y2Z/v73vhOonAiu+vVzOXV85QL3AxecyXnv+iUGh1zFdS+K/o+qFtbnns75Z72d59Z1j5n3kYsmcPpp4zg+MMj2A2+NmX9xFHPctn/tnNN5YuXuMfPe845TmXru6fQPDrFlf8+Y+cPvWcbq6RvkjYNjP4+88Fm2dda5XC7OCDo6OtzixYuzDkNEJFfMrK4zAvURiIgUnBKBiEjBKRGIiBScEoGISMEpEYiIFJwSgYhIwSkRiIgUnBKBiEjB5eKCMjM7AqzLOo46nA3syzqIOijOdCnOdCnO9Pyqc25CrYVycYsJYF09V8dlzcwWK870KM50Kc505SXOeqhpSESk4JQIREQKLi+JIC/3oFac6VKc6VKc6cpLnDXlorNYRET8ycsZgYiIeBJ8IjCza8xsnZl1mdmsDPY/ycyeM7M1ZrbKzP4smv5VM3vDzJZFPx8vW+fGKN51ZnZ1q96LmW0xsxVRPIujae82swVmtiH6fVY03czse1Esr5vZ5WXb+Wy0/AYz+2zKMV5cdsyWmdlhM/tiCMfTzO42s71mtrJsWmrHz8w+GH0+XdG6TT1ppkqct5rZ2iiWR8zszGj6ZDN7q+y43lErnmrvOaU4U/uczWyKmb0SxfmAmZ2aYpwPlMW4xcyWRdMzO55eOeeC/QHGARuBC4FTgeXAJS2O4Tzg8uj1O4H1wCXAV4H/UWH5S6I4TwOmRPGPa8V7AbYAZ4+adgswK3o9C/hW9PrjwBOAAVcCr0TT3w1sin6fFb0+y+Pnuxv41RCOJ/AR4HJgpY/jBywC/kW0zhPAtSnG+TFgfPT6W2VxTi5fbtR2KsZT7T2nFGdqnzPwIDA9en0HcENacY6afxvwF1kfT58/oZ8RXAF0Oec2Oef6gLnAtFYG4Jzb5ZxbGr0+AqwBJsasMg2Y65zrdc5tBroovY+s3ss04KfR658Cv182/R5X8jJwppmdB1wNLHDOHXDOvQksAK7xFNvvABudc1tjlmnZ8XTOLQQOVNh/4uMXzTvDOfeSK5UI95RtK3GczrmnnXMD0Z8vA+fHbaNGPNXec+I4YzT0OUe17Y8CD/uMM9rPHwH3x22jFcfTp9ATwURge9nfO4gvhL0ys8nAB4BXokmfj07F7y473asWcyveiwOeNrMlZjYjmnauc24XlJIacE4AcQ6bzsgvWGjHE9I7fhOj177jBfgcpRrpsClm9pqZPW9mH46mxcVT7T2nJY3P+T3AwbLk5+t4fhjY45zbUDYttOOZWOiJoFIbaibDnMzsdODvgC865w4DPwLeB1wG7KJ0+gjVY27Fe/lXzrnLgWuBmWb2kZhls4yTqD33E8BD0aQQj2ecRuNq1XG9CRgA7o0m7QIucM59APhvwH1mdkar4qkgrc+5VfFfz8jKSmjHMxWhJ4IdwKSyv88HdrY6CDN7G6UkcK9z7mcAzrk9zrlB59wQcCelU1ioHrP39+Kc2xn93gs8EsW0JzptHT593Zt1nJFrgaXOuT1RzMEdz0hax28HI5trUo836pj+XeDfR80TRE0t+6PXSyi1t19UI55q7zmxFD/nfZSa48aPmp6aaNufAh4oiz+o45mW0BPBq8DUaHTAqZSaEua1MoCojfDHwBrn3O1l088rW+yTwPCIg3nAdDM7zcymAFMpdSJ5fS9m9g4ze+fwa0qdhyujfQyPXPks8POyOD9jJVcCh6LT1qeAj5nZWdFp+8eiaWkbUdMK7XiWSeX4RfOOmNmV0f/UZ8q2lZiZXQP8OfAJ51xP2fQJZjYuen0hpeO3qUY81d5zGnGm8jlHie454A98xBm5CljrnDvR5BPa8UxN1r3VtX4ojc5YTynz3pTB/v81pVO814Fl0c/Hgb8BVkTT5wHnla1zUxTvOspGhvh8L5RGVSyPflYNb59SW+ozwIbo97uj6Qb8IIplBdBRtq3PUeqs6wL+1MMx/WVgP/CusmmZH09KiWkX0E+phvcf0zx+QAelgm8j8H+JLuhMKc4uSm3pw/+jd0TLfjr6f1gOLAV+r1Y81d5zSnGm9jlH//OLovf+EHBaWnFG0/8a+C+jls3sePr80ZXFIiIFF3rTkIhrQdsOAAAAL0lEQVSIeKZEICJScEoEIiIFp0QgIlJwSgQiIgWnRCAiUnBKBCIiBadEICJScP8fh0WHGjxE+2MAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "train_df2['WAP224'].plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>WAP001</th>\n",
       "      <th>WAP002</th>\n",
       "      <th>WAP005</th>\n",
       "      <th>WAP006</th>\n",
       "      <th>WAP007</th>\n",
       "      <th>WAP008</th>\n",
       "      <th>WAP009</th>\n",
       "      <th>WAP010</th>\n",
       "      <th>WAP011</th>\n",
       "      <th>WAP012</th>\n",
       "      <th>...</th>\n",
       "      <th>WAP519</th>\n",
       "      <th>LONGITUDE</th>\n",
       "      <th>LATITUDE</th>\n",
       "      <th>FLOOR</th>\n",
       "      <th>BUILDINGID</th>\n",
       "      <th>SPACEID</th>\n",
       "      <th>RELATIVEPOSITION</th>\n",
       "      <th>USERID</th>\n",
       "      <th>PHONEID</th>\n",
       "      <th>TIMESTAMP</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>7541.2643</td>\n",
       "      <td>4.864921e+06</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>106</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>23</td>\n",
       "      <td>1371713733</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>7536.6212</td>\n",
       "      <td>4.864934e+06</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>106</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>23</td>\n",
       "      <td>1371713691</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-97</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>7519.1524</td>\n",
       "      <td>4.864950e+06</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>103</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>23</td>\n",
       "      <td>1371714095</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>7524.5704</td>\n",
       "      <td>4.864934e+06</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>102</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>23</td>\n",
       "      <td>1371713807</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>7632.1436</td>\n",
       "      <td>4.864982e+06</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>122</td>\n",
       "      <td>2</td>\n",
       "      <td>11</td>\n",
       "      <td>13</td>\n",
       "      <td>1369909710</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 474 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   WAP001  WAP002  WAP005  WAP006  WAP007  WAP008  WAP009  WAP010  WAP011  \\\n",
       "0    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "1    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "2    -105    -105    -105    -105    -105     -97    -105    -105    -105   \n",
       "3    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "4    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "\n",
       "   WAP012  ...  WAP519  LONGITUDE      LATITUDE  FLOOR  BUILDINGID  SPACEID  \\\n",
       "0    -105  ...    -105  7541.2643  4.864921e+06      2           1      106   \n",
       "1    -105  ...    -105  7536.6212  4.864934e+06      2           1      106   \n",
       "2    -105  ...    -105  7519.1524  4.864950e+06      2           1      103   \n",
       "3    -105  ...    -105  7524.5704  4.864934e+06      2           1      102   \n",
       "4    -105  ...    -105  7632.1436  4.864982e+06      0           0      122   \n",
       "\n",
       "   RELATIVEPOSITION  USERID  PHONEID   TIMESTAMP  \n",
       "0                 2       2       23  1371713733  \n",
       "1                 2       2       23  1371713691  \n",
       "2                 2       2       23  1371714095  \n",
       "3                 2       2       23  1371713807  \n",
       "4                 2      11       13  1369909710  \n",
       "\n",
       "[5 rows x 474 columns]"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_df2.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1b157ea4cc0>"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAY4AAAD8CAYAAABgmUMCAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAE+BJREFUeJzt3X+0ZWV93/H3R0ZAiArImNABHGhmaSArLsiEELWJSio/rA62oZ0s24yWhNqQRJs2FTQruExY1bXSYGwaLQpdQK2IaCKJWDv8MFmtC3AQ5KfICBQmUJk4CCIKDv32j/NcPUzuj/PA3efe4b5fa511937285z9nT175nP3j7NPqgpJkib1nKUuQJK0ezE4JEldDA5JUheDQ5LUxeCQJHUxOCRJXQwOSVIXg0OS1MXgkCR1WbXUBQzhwAMPrLVr1y51GZK0W7n++uv/tqpWL9TvWRkca9euZcuWLUtdhiTtVpL8n0n6eapKktTF4JAkdTE4JEldDA5JUheDQ5LUxeCQJHUxOCRJXQwOSVIXg0OS1OVZ+clxSVpKa8/47JKt+573vX7wdXjEIUnqYnBIkroYHJKkLgaHJKmLwSFJ6mJwSJK6GBySpC4GhySpi8EhSepicEiSuhgckqQuBockqYvBIUnqYnBIkroYHJKkLgaHJKmLwSFJ6mJwSJK6GBySpC4GhySpi8EhSepicEiSuhgckqQuBockqYvBIUnqYnBIkroYHJKkLgaHJKnLoMGR5N8kuTXJLUk+nmTvJIcluTbJnUk+kWTP1nevNr+1LV879j5ntvY7khw/ZM2SpPkNFhxJ1gC/Bayvqp8E9gA2Au8HzqmqdcBDwKltyKnAQ1X148A5rR9JjmjjjgROAP40yR5D1S1Jmt/Qp6pWAc9LsgrYB3gAeC1waVt+AXBym97Q5mnLj0uS1n5xVT1eVXcDW4FjBq5bkjSHwYKjqv4G+EPgXkaB8TBwPfCtqtrZum0D1rTpNcB9bezO1v9F4+2zjPmBJKcl2ZJky/bt2xf/DyRJAoY9VbU/o6OFw4C/B+wLnDhL15oZMseyudqf2lB1blWtr6r1q1evfnpFS5IWNOSpql8E7q6q7VX1feDTwCuA/dqpK4CDgfvb9DbgEIC2/IXAjvH2WcZIkqZsyOC4Fzg2yT7tWsVxwG3A1cAvtT6bgM+06cvaPG35VVVVrX1ju+vqMGAdcN2AdUuS5rFq4S5PT1Vdm+RS4MvATuAG4Fzgs8DFSf6gtZ3XhpwHXJRkK6MjjY3tfW5Ncgmj0NkJnF5VTw5VtyRpfoMFB0BVnQWctUvzXcxyV1RVfQ84ZY73ORs4e9ELlCR185PjkqQuBockqYvBIUnqYnBIkroYHJKkLgaHJKmLwSFJ6mJwSJK6GBySpC4GhySpi8EhSepicEiSuhgckqQuBockqYvBIUnqYnBIkroYHJKkLgaHJKmLwSFJ6mJwSJK6GBySpC4GhySpi8EhSepicEiSuhgckqQuBockqYvBIUnqYnBIkroYHJKkLgaHJKmLwSFJ6mJwSJK6GBySpC4GhySpy6DBkWS/JJcm+WqS25P8XJIDkmxOcmf7uX/rmyQfTLI1yU1Jjh57n02t/51JNg1ZsyRpfkMfcfwx8D+q6mXAy4HbgTOAK6tqHXBlmwc4EVjXXqcBHwJIcgBwFvCzwDHAWTNhI0mavomCI8lP9r5xkhcAPw+cB1BVT1TVt4ANwAWt2wXAyW16A3BhjVwD7JfkIOB4YHNV7aiqh4DNwAm99UiSFsekRxwfTnJdkl9Pst+EYw4HtgP/NckNST6aZF/gR6vqAYD288Wt/xrgvrHx21rbXO2SpCUwUXBU1auANwOHAFuS/Pck/3CBYauAo4EPVdVRwHf44Wmp2WS2Vc/T/tTByWlJtiTZsn379gVKkyQ9XRNf46iqO4HfBd4J/ALwwXbR+x/PMWQbsK2qrm3zlzIKkm+0U1C0nw+O9T9kbPzBwP3ztO9a37lVtb6q1q9evXrSP5YkqdOk1zh+Ksk5jC5uvxZ4Q1X9RJs+Z7YxVfV/gfuSvLQ1HQfcBlwGzNwZtQn4TJu+DPiVdnfVscDD7VTW54HXJdm/XRR/XWuTJC2BVRP2+xPgI8C7quq7M41VdX+S351n3G8CH0uyJ3AX8FZGYXVJklOBe4FTWt/LgZOArcBjrS9VtSPJ7wNfav3eW1U7JqxbkrTIJg2Ok4DvVtWTAEmeA+xdVY9V1UVzDaqqG4H1syw6bpa+BZw+x/ucD5w/Ya2SpAFNeo3jCuB5Y/P7tDZJ0gozaXDsXVWPzsy06X2GKUmStJxNGhzf2eURID8NfHee/pKkZ6lJr3G8A/hkkpnbYA8C/tkwJUmSlrOJgqOqvpTkZcBLGX0g76tV9f1BK5MkLUuTHnEA/Aywto05KglVdeEgVUmSlq2JgiPJRcDfB24EnmzNBRgckrTCTHrEsR44on3WQpK0gk16V9UtwI8NWYgkafcw6RHHgcBtSa4DHp9prKo3DlKVJGnZmjQ43jNkEZKk3cekt+P+VZKXAOuq6ook+wB7DFva0ll7xmeXZL33vO/1S7JeSeox6V1Vv8boe8APYHR31Rrgw8zysEJJ8/MXE+3uJr04fjrwSuAR+MGXOr143hGSpGelSYPj8ap6YmYmySpm+fpWSdKz36TB8VdJ3gU8r33X+CeBvxiuLEnScjVpcJwBbAduBv4Vo2/rm++b/yRJz1KT3lX1/xh9dexHhi1HkrTcTXpX1d3Mck2jqg5f9IokSctaz7OqZuwNnMLo1lxJ0goz0TWOqvrm2OtvquoDwGsHrk2StAxNeqrq6LHZ5zA6Ann+IBVJkpa1SU9V/cex6Z3APcA/XfRqJEnL3qR3Vb1m6EIkSbuHSU9V/fZ8y6vqjxanHEnSctdzV9XPAJe1+TcAfw3cN0RRkqTlq+eLnI6uqm8DJHkP8Mmq+tWhCpMkLU+TPnLkUOCJsfkngLWLXo0kadmb9IjjIuC6JH/G6BPkbwIuHKwqSdKyNeldVWcn+RzwD1rTW6vqhuHKkiQtV5OeqgLYB3ikqv4Y2JbksIFqkiQtYxMFR5KzgHcCZ7am5wL/baiiJEnL16RHHG8C3gh8B6Cq7sdHjkjSijRpcDxRVUV7tHqSfYcrSZK0nE0aHJck+S/Afkl+DbgCv9RJklakSR+r/ofApcCngJcCv1dV/2mSsUn2SHJDkr9s84cluTbJnUk+kWTP1r5Xm9/alq8de48zW/sdSY7v+yNKkhbTgsHR/uO/oqo2V9XvVNW/q6rNHet4O3D72Pz7gXOqah3wEHBqaz8VeKiqfhw4p/UjyRHARuBI4ATgT5Ps0bF+SdIiWjA4qupJ4LEkL+x98yQHA68HPtrmw+gLoC5tXS4ATm7TG9o8bflxrf8G4OKqeryq7ga2Asf01iJJWhyTfnL8e8DNSTbT7qwCqKrfWmDcB4B/zw/vwHoR8K2q2tnmtwFr2vQa2kMTq2pnkodb/zXANWPvOT5GkjRlkwbHZ9trYkn+EfBgVV2f5NUzzbN0rQWWzTdmfH2nAacBHHrooT2lSpI6zBscSQ6tqnur6oL5+s3hlcAbk5wE7A28gNERyH5JVrWjjoOB+1v/bcAhjD6Vvgp4IbBjrH3G+JgfqKpzgXMB1q9f/3eCRZK0OBa6xvHnMxNJPtXzxlV1ZlUdXFVrGV3cvqqq3gxcDfxS67YJ+EybvqzN05Zf1T47chmwsd11dRiwDriupxZJ0uJZ6FTV+Gmiwxdpne8ELk7yB8ANwHmt/TzgoiRbGR1pbASoqluTXALcxuj7zk9vF+wlSUtgoeCoOaa7VNUXgC+06buY5a6oqvoecMoc488Gzn6665ckLZ6FguPlSR5hdOTxvDZNm6+qesGg1UmSlp15g6Oq/KCdJOkper6PQ5Ikg0OS1MfgkCR1MTgkSV0MDklSF4NDktTF4JAkdTE4JEldDA5JUheDQ5LUxeCQJHUxOCRJXQwOSVIXg0OS1MXgkCR1MTgkSV0MDklSF4NDktTF4JAkdTE4JEldDA5JUheDQ5LUxeCQJHUxOCRJXQwOSVIXg0OS1MXgkCR1MTgkSV0MDklSF4NDktTF4JAkdTE4JEldDA5JUpfBgiPJIUmuTnJ7kluTvL21H5Bkc5I728/9W3uSfDDJ1iQ3JTl67L02tf53Jtk0VM2SpIUNecSxE/i3VfUTwLHA6UmOAM4ArqyqdcCVbR7gRGBde50GfAhGQQOcBfwscAxw1kzYSJKmb7DgqKoHqurLbfrbwO3AGmADcEHrdgFwcpveAFxYI9cA+yU5CDge2FxVO6rqIWAzcMJQdUuS5jeVaxxJ1gJHAdcCP1pVD8AoXIAXt25rgPvGhm1rbXO177qO05JsSbJl+/bti/1HkCQ1gwdHkh8BPgW8o6oema/rLG01T/tTG6rOrar1VbV+9erVT69YSdKCBg2OJM9lFBofq6pPt+ZvtFNQtJ8PtvZtwCFjww8G7p+nXZK0BIa8qyrAecDtVfVHY4suA2bujNoEfGas/Vfa3VXHAg+3U1mfB16XZP92Ufx1rU2StARWDfjerwT+BXBzkhtb27uA9wGXJDkVuBc4pS27HDgJ2Ao8BrwVoKp2JPl94Eut33uraseAdUuS5jFYcFTV/2L26xMAx83Sv4DT53iv84HzF686SdLT5SfHJUldDA5JUheDQ5LUxeCQJHUxOCRJXQwOSVIXg0OS1MXgkCR1MTgkSV0MDklSF4NDktTF4JAkdTE4JEldDA5JUheDQ5LUxeCQJHUxOCRJXQwOSVIXg0OS1MXgkCR1MTgkSV0MDklSF4NDktTF4JAkdTE4JEldDA5JUheDQ5LUxeCQJHUxOCRJXQwOSVIXg0OS1MXgkCR1MTgkSV0MDklSl90mOJKckOSOJFuTnLHU9UjSSrVbBEeSPYD/DJwIHAH8cpIjlrYqSVqZdovgAI4BtlbVXVX1BHAxsGGJa5KkFWl3CY41wH1j89tamyRpylYtdQETyixt9ZQOyWnAaW320SR3PIP1HQj87TMY/7Tk/Qt2WZK6JmBdfdy/+lhXh7z/GdX1kkk67S7BsQ04ZGz+YOD+8Q5VdS5w7mKsLMmWqlq/GO+1mKyrj3X1sa4+K7mu3eVU1ZeAdUkOS7InsBG4bIlrkqQVabc44qiqnUl+A/g8sAdwflXdusRlSdKKtFsEB0BVXQ5cPqXVLcoprwFYVx/r6mNdfVZsXamqhXtJktTsLtc4JEnLxIoKjoUeW5JkrySfaMuvTbJ2bNmZrf2OJMdPua7fTnJbkpuSXJnkJWPLnkxyY3st6g0DE9T1liTbx9b/q2PLNiW5s702Tbmuc8Zq+lqSb40tG3J7nZ/kwSS3zLE8ST7Y6r4pydFjy4bcXgvV9eZWz01Jvpjk5WPL7klyc9teW6Zc16uTPDz29/V7Y8sGewTRBHX9zlhNt7R96oC2bMjtdUiSq5PcnuTWJG+fpc909rGqWhEvRhfVvw4cDuwJfAU4Ypc+vw58uE1vBD7Rpo9o/fcCDmvvs8cU63oNsE+b/tczdbX5R5dwe70F+JNZxh4A3NV+7t+m959WXbv0/01GN1MMur3ae/88cDRwyxzLTwI+x+hzSccC1w69vSas6xUz62P0WJ9rx5bdAxy4RNvr1cBfPtN9YLHr2qXvG4CrprS9DgKObtPPB742y7/JqexjK+mIY5LHlmwALmjTlwLHJUlrv7iqHq+qu4Gt7f2mUldVXV1Vj7XZaxh9jmVoz+QxL8cDm6tqR1U9BGwGTliiun4Z+PgirXteVfXXwI55umwALqyRa4D9khzEsNtrwbqq6ottvTC9/WuS7TWXQR9B1FnXNPevB6rqy23628Dt/N0naExlH1tJwTHJY0t+0KeqdgIPAy+acOyQdY07ldFvFDP2TrIlyTVJTl6kmnrq+iftkPjSJDMf0lwW26ud0jsMuGqseajtNYm5al9Oj9TZdf8q4H8muT6jpzNM288l+UqSzyU5srUti+2VZB9G//l+aqx5Ktsro9PoRwHX7rJoKvvYbnM77iJY8LEl8/SZZOzTNfF7J/nnwHrgF8aaD62q+5McDlyV5Oaq+vqU6voL4ONV9XiStzE6WnvthGOHrGvGRuDSqnpyrG2o7TWJpdi/JpbkNYyC41Vjza9s2+vFwOYkX22/kU/Dl4GXVNWjSU4C/hxYxzLZXoxOU/3vqho/Ohl8eyX5EUZh9Y6qemTXxbMMWfR9bCUdcSz42JLxPklWAS9kdMg6ydgh6yLJLwLvBt5YVY/PtFfV/e3nXcAXGP0WMpW6quqbY7V8BPjpSccOWdeYjexyGmHA7TWJuWofcntNJMlPAR8FNlTVN2fax7bXg8CfsXinaBdUVY9U1aNt+nLguUkOZBlsr2a+/WuQ7ZXkuYxC42NV9elZukxnHxviIs5yfDE6urqL0amLmQtqR+7S53SeenH8kjZ9JE+9OH4Xi3dxfJK6jmJ0MXDdLu37A3u16QOBO1mki4QT1nXQ2PSbgGvqhxfi7m717d+mD5hWXa3fSxldqMw0ttfYOtYy98Xe1/PUC5fXDb29JqzrUEbX7V6xS/u+wPPHpr8InDDFun5s5u+P0X/A97ZtN9E+MFRdbfnML5X7Tmt7tT/7hcAH5ukzlX1s0Tb07vBidMfB1xj9J/zu1vZeRr/FA+wNfLL9I7oOOHxs7LvbuDuAE6dc1xXAN4Ab2+uy1v4K4Ob2D+dm4NQp1/UfgFvb+q8GXjY29l+27bgVeOs062rz7wHet8u4obfXx4EHgO8z+g3vVOBtwNva8jD6QrKvt/Wvn9L2WqiujwIPje1fW1r74W1bfaX9Pb97ynX9xtj+dQ1jwTbbPjCtulqftzC6YWZ83NDb61WMTi/dNPZ3ddJS7GN+clyS1GUlXeOQJC0Cg0OS1MXgkCR1MTgkSV0MDklSF4NDktTF4JAkdTE4JEld/j99ie9h+jfPwgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "train_df2['BUILDINGID'].plot(kind='hist')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1b157f230b8>"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "train_df2['TIMESTAMP'].plot(kind='hist')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1b157f88390>"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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VYpz9gE/Q3PF2L+Cvyva7FNi/ZU1rgPcDL9jG1/ItHdM3AXPK9C8Ad7QY505g5/Ka/sHTr2vg2Z3/Fy3GWzhq+68Ebgc+C+zbYpwFwPXAv9Icoa4CHi/r+vKWNf0i8NfAhcCbRy07t8U4OwHvKLUcUtru68H/3y2jlrV6nY/1mHZ/FD4ixttzDZqk7Hac27cyzr4ty/ouzZtYp7k0v8QJ/FKX42Rm/hS4Fri2nFs9FngT8LfAhPf26DAjy2mfzFwfEUcAl0fE82nWsY2ZwFM0eyHPKWM+MIlzv8dn5tN/A+JvgN/PzJsi4kU0v/htvt5+Z8eR2m0RsSAzh8tY/9uyrktpDs+PyMyHASJiP5rgvQx4bZfjfBq4iubN9XrgM8DxNHe8/Wfa3fl2NjALuD4iHqbZg7wkMx/c+tOeYaeImE3zphRZjigz80cRsaXFOCtpAnIG8D7gsoi4Dzic5q6+bX2YZucG4O+Ah2iONN8I/AtwQpfjnAucQbOtvgG8IzNfGxFHlWW/0aKmT9Gc3vwc8EcR8bs0QfAkzXp2pfwOnxMRl5V/H2Hy37n6SUTslplPAL/2dGNE7AH8dJJj/lyx0+pB80Z0Hc0v2OjH/7QY5xGawHj+qMcQ8GDLmv6C5sX8qx1t929L2o+xbNeWY11H2fvoaJsJXAA81WKc02n2zFbQvAGcUtrnAF9vWdO3gJll+pujlnW9N1r670Hzhvtt4AaaN/37aE5VHdxyrHsms2xr/3+MOoqk/VHJmo7p36R5M3u4vM6Xthhnfdku95d/9yvtu0+ipufSnPqB5g33RJqbObZ6nY+xfreOWtZ1XRNs87ZHqKPreB/wnzRHc2vajDVqnONpPpeazHN3Gad97873m0nXtq0D9PtBcyg6f5xlG1qMsxJ41TjLPjuJuubR7C1+lGYvufUhH/CiHm6neU//so+x7JUtx3pp+WV/8TbW9Daao5sjaU6PfAz4LeADwIWTHPM5wME0e0ddnzoYNca1wLs7n09zFPge4CstxrmtY/rMUcvaBtwz3nBo9r4XAp/qwetjN+DAXr3eJvHzNwLvBN5Vgik6lt3eYpz/ojllehLNUfgJpf3VwHDLmtYCO41qWwLcBXxnqrbV9nxMuw+BI+JEml+mZ9wmOiJOyMwvTkFZnTW8nmbPYSgz95vKWgZRORX1J8CLaI5INgBfpLkvVJtTEr2saTbNVUSLgH1K8yM0Nypcnpmbuxzng8DZ2XHFVWl/YRnnxBY1XZyZi7vtP92Uq1s6nZuZI+XU29mZeXKX4xwMnE1zOuQdNK+tJTQfVL81M7/RoqazgWsz8yuj2hcC/5iZ87sda7qYdgGwNb24eqdHdexK8+HdnYNS06Ab1O3Uq7p6uX6Duq16xW3ePztaADyQmc+b6jo6DWJNg2hQt1Ov6url+g3qtuoVt3n/TMergHp59U5PDGJNg2hQt1Ov6url+g3qtuoVt/lgmHYBQPMfcQzNl5E6Bc1lYFNhEGsaRIO6nXpVVy/Xb1C3Va+4zQfAdAyAL9F8wenW0QsiYnX/ywEGs6ZBNKjbqVd19XL9BnVb9YrbfADsUJ8BSJK6591AJalSBoAkVcoAkKRKGQCSVCkDQJIq9X9rVi2eiAy4JgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "train_df2['USERID'].value_counts().plot(kind='bar')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Remove unnecessary columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Tobi\\Anaconda2\\lib\\site-packages\\pandas\\core\\frame.py:3940: SettingWithCopyWarning:\n",
      "\n",
      "\n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "\n"
     ]
    }
   ],
   "source": [
    "train_df2.drop(['TIMESTAMP','PHONEID','USERID'], inplace=True, axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>WAP001</th>\n",
       "      <th>WAP002</th>\n",
       "      <th>WAP005</th>\n",
       "      <th>WAP006</th>\n",
       "      <th>WAP007</th>\n",
       "      <th>WAP008</th>\n",
       "      <th>WAP009</th>\n",
       "      <th>WAP010</th>\n",
       "      <th>WAP011</th>\n",
       "      <th>WAP012</th>\n",
       "      <th>...</th>\n",
       "      <th>WAP516</th>\n",
       "      <th>WAP517</th>\n",
       "      <th>WAP518</th>\n",
       "      <th>WAP519</th>\n",
       "      <th>LONGITUDE</th>\n",
       "      <th>LATITUDE</th>\n",
       "      <th>FLOOR</th>\n",
       "      <th>BUILDINGID</th>\n",
       "      <th>SPACEID</th>\n",
       "      <th>RELATIVEPOSITION</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>7541.2643</td>\n",
       "      <td>4.864921e+06</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>106</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>7536.6212</td>\n",
       "      <td>4.864934e+06</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>106</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-97</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>7519.1524</td>\n",
       "      <td>4.864950e+06</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>103</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>7524.5704</td>\n",
       "      <td>4.864934e+06</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>102</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>7632.1436</td>\n",
       "      <td>4.864982e+06</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>122</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 471 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   WAP001  WAP002  WAP005  WAP006  WAP007  WAP008  WAP009  WAP010  WAP011  \\\n",
       "0    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "1    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "2    -105    -105    -105    -105    -105     -97    -105    -105    -105   \n",
       "3    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "4    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "\n",
       "   WAP012  ...  WAP516  WAP517  WAP518  WAP519  LONGITUDE      LATITUDE  \\\n",
       "0    -105  ...    -105    -105    -105    -105  7541.2643  4.864921e+06   \n",
       "1    -105  ...    -105    -105    -105    -105  7536.6212  4.864934e+06   \n",
       "2    -105  ...    -105    -105    -105    -105  7519.1524  4.864950e+06   \n",
       "3    -105  ...    -105    -105    -105    -105  7524.5704  4.864934e+06   \n",
       "4    -105  ...    -105    -105    -105    -105  7632.1436  4.864982e+06   \n",
       "\n",
       "   FLOOR  BUILDINGID  SPACEID  RELATIVEPOSITION  \n",
       "0      2           1      106                 2  \n",
       "1      2           1      106                 2  \n",
       "2      2           1      103                 2  \n",
       "3      2           1      102                 2  \n",
       "4      0           0      122                 2  \n",
       "\n",
       "[5 rows x 471 columns]"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_df2.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>WAP001</th>\n",
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       "      <th>WAP517</th>\n",
       "      <th>WAP518</th>\n",
       "      <th>WAP519</th>\n",
       "      <th>LONGITUDE</th>\n",
       "      <th>LATITUDE</th>\n",
       "      <th>FLOOR</th>\n",
       "      <th>BUILDINGID</th>\n",
       "      <th>SPACEID</th>\n",
       "      <th>RELATIVEPOSITION</th>\n",
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       "      <th>count</th>\n",
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       "      <td>19937.000000</td>\n",
       "      <td>19937.000000</td>\n",
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       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>-104.991273</td>\n",
       "      <td>-104.983699</td>\n",
       "      <td>-104.974971</td>\n",
       "      <td>-104.702563</td>\n",
       "      <td>-104.323118</td>\n",
       "      <td>-104.218589</td>\n",
       "      <td>-104.188042</td>\n",
       "      <td>-104.941666</td>\n",
       "      <td>-100.460651</td>\n",
       "      <td>-100.428450</td>\n",
       "      <td>...</td>\n",
       "      <td>-100.056428</td>\n",
       "      <td>-98.397301</td>\n",
       "      <td>-104.985153</td>\n",
       "      <td>-104.998646</td>\n",
       "      <td>7464.275947</td>\n",
       "      <td>4.864871e+06</td>\n",
       "      <td>1.674575</td>\n",
       "      <td>1.212820</td>\n",
       "      <td>148.429954</td>\n",
       "      <td>1.833024</td>\n",
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       "      <th>std</th>\n",
       "      <td>0.292228</td>\n",
       "      <td>0.531403</td>\n",
       "      <td>0.566261</td>\n",
       "      <td>2.590441</td>\n",
       "      <td>4.377768</td>\n",
       "      <td>4.533137</td>\n",
       "      <td>4.955450</td>\n",
       "      <td>0.915116</td>\n",
       "      <td>12.024715</td>\n",
       "      <td>12.070195</td>\n",
       "      <td>...</td>\n",
       "      <td>12.978733</td>\n",
       "      <td>13.448082</td>\n",
       "      <td>0.462780</td>\n",
       "      <td>0.111750</td>\n",
       "      <td>123.402010</td>\n",
       "      <td>6.693318e+01</td>\n",
       "      <td>1.223078</td>\n",
       "      <td>0.833139</td>\n",
       "      <td>58.342106</td>\n",
       "      <td>0.372964</td>\n",
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       "      <th>min</th>\n",
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       "      <td>-105.000000</td>\n",
       "      <td>-105.000000</td>\n",
       "      <td>-105.000000</td>\n",
       "      <td>-105.000000</td>\n",
       "      <td>-105.000000</td>\n",
       "      <td>-105.000000</td>\n",
       "      <td>-105.000000</td>\n",
       "      <td>-105.000000</td>\n",
       "      <td>-105.000000</td>\n",
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       "      <td>-105.000000</td>\n",
       "      <td>-105.000000</td>\n",
       "      <td>-105.000000</td>\n",
       "      <td>7300.818990</td>\n",
       "      <td>4.864746e+06</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
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       "      <td>-105.000000</td>\n",
       "      <td>-105.000000</td>\n",
       "      <td>-105.000000</td>\n",
       "      <td>-105.000000</td>\n",
       "      <td>-105.000000</td>\n",
       "      <td>-105.000000</td>\n",
       "      <td>-105.000000</td>\n",
       "      <td>-105.000000</td>\n",
       "      <td>-105.000000</td>\n",
       "      <td>-105.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>-105.000000</td>\n",
       "      <td>-105.000000</td>\n",
       "      <td>-105.000000</td>\n",
       "      <td>-105.000000</td>\n",
       "      <td>7359.193000</td>\n",
       "      <td>4.864821e+06</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>110.000000</td>\n",
       "      <td>2.000000</td>\n",
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       "      <td>-105.000000</td>\n",
       "      <td>-105.000000</td>\n",
       "      <td>-105.000000</td>\n",
       "      <td>-105.000000</td>\n",
       "      <td>-105.000000</td>\n",
       "      <td>-105.000000</td>\n",
       "      <td>-105.000000</td>\n",
       "      <td>-105.000000</td>\n",
       "      <td>-105.000000</td>\n",
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       "      <td>-105.000000</td>\n",
       "      <td>-105.000000</td>\n",
       "      <td>-105.000000</td>\n",
       "      <td>-105.000000</td>\n",
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       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>129.000000</td>\n",
       "      <td>2.000000</td>\n",
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       "      <td>-105.000000</td>\n",
       "      <td>-105.000000</td>\n",
       "      <td>-105.000000</td>\n",
       "      <td>-105.000000</td>\n",
       "      <td>-105.000000</td>\n",
       "      <td>-105.000000</td>\n",
       "      <td>-105.000000</td>\n",
       "      <td>-105.000000</td>\n",
       "      <td>-105.000000</td>\n",
       "      <td>-105.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>-105.000000</td>\n",
       "      <td>-105.000000</td>\n",
       "      <td>-105.000000</td>\n",
       "      <td>-105.000000</td>\n",
       "      <td>7594.737000</td>\n",
       "      <td>4.864930e+06</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>207.000000</td>\n",
       "      <td>2.000000</td>\n",
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       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>-93.000000</td>\n",
       "      <td>-86.000000</td>\n",
       "      <td>-89.000000</td>\n",
       "      <td>-58.000000</td>\n",
       "      <td>-47.000000</td>\n",
       "      <td>-61.000000</td>\n",
       "      <td>-50.000000</td>\n",
       "      <td>-84.000000</td>\n",
       "      <td>-3.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-87.000000</td>\n",
       "      <td>-94.000000</td>\n",
       "      <td>7691.338400</td>\n",
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       "      <td>2.000000</td>\n",
       "      <td>254.000000</td>\n",
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       "             WAP001        WAP002        WAP005        WAP006        WAP007  \\\n",
       "count  19937.000000  19937.000000  19937.000000  19937.000000  19937.000000   \n",
       "mean    -104.991273   -104.983699   -104.974971   -104.702563   -104.323118   \n",
       "std        0.292228      0.531403      0.566261      2.590441      4.377768   \n",
       "min     -105.000000   -105.000000   -105.000000   -105.000000   -105.000000   \n",
       "25%     -105.000000   -105.000000   -105.000000   -105.000000   -105.000000   \n",
       "50%     -105.000000   -105.000000   -105.000000   -105.000000   -105.000000   \n",
       "75%     -105.000000   -105.000000   -105.000000   -105.000000   -105.000000   \n",
       "max      -93.000000    -86.000000    -89.000000    -58.000000    -47.000000   \n",
       "\n",
       "             WAP008        WAP009        WAP010        WAP011        WAP012  \\\n",
       "count  19937.000000  19937.000000  19937.000000  19937.000000  19937.000000   \n",
       "mean    -104.218589   -104.188042   -104.941666   -100.460651   -100.428450   \n",
       "std        4.533137      4.955450      0.915116     12.024715     12.070195   \n",
       "min     -105.000000   -105.000000   -105.000000   -105.000000   -105.000000   \n",
       "25%     -105.000000   -105.000000   -105.000000   -105.000000   -105.000000   \n",
       "50%     -105.000000   -105.000000   -105.000000   -105.000000   -105.000000   \n",
       "75%     -105.000000   -105.000000   -105.000000   -105.000000   -105.000000   \n",
       "max      -61.000000    -50.000000    -84.000000     -3.000000      0.000000   \n",
       "\n",
       "       ...        WAP516        WAP517        WAP518        WAP519  \\\n",
       "count  ...  19937.000000  19937.000000  19937.000000  19937.000000   \n",
       "mean   ...   -100.056428    -98.397301   -104.985153   -104.998646   \n",
       "std    ...     12.978733     13.448082      0.462780      0.111750   \n",
       "min    ...   -105.000000   -105.000000   -105.000000   -105.000000   \n",
       "25%    ...   -105.000000   -105.000000   -105.000000   -105.000000   \n",
       "50%    ...   -105.000000   -105.000000   -105.000000   -105.000000   \n",
       "75%    ...   -105.000000   -105.000000   -105.000000   -105.000000   \n",
       "max    ...      0.000000      0.000000    -87.000000    -94.000000   \n",
       "\n",
       "          LONGITUDE      LATITUDE         FLOOR    BUILDINGID       SPACEID  \\\n",
       "count  19937.000000  1.993700e+04  19937.000000  19937.000000  19937.000000   \n",
       "mean    7464.275947  4.864871e+06      1.674575      1.212820    148.429954   \n",
       "std      123.402010  6.693318e+01      1.223078      0.833139     58.342106   \n",
       "min     7300.818990  4.864746e+06      0.000000      0.000000      1.000000   \n",
       "25%     7359.193000  4.864821e+06      1.000000      0.000000    110.000000   \n",
       "50%     7423.060900  4.864852e+06      2.000000      1.000000    129.000000   \n",
       "75%     7594.737000  4.864930e+06      3.000000      2.000000    207.000000   \n",
       "max     7691.338400  4.865017e+06      4.000000      2.000000    254.000000   \n",
       "\n",
       "       RELATIVEPOSITION  \n",
       "count      19937.000000  \n",
       "mean           1.833024  \n",
       "std            0.372964  \n",
       "min            1.000000  \n",
       "25%            2.000000  \n",
       "50%            2.000000  \n",
       "75%            2.000000  \n",
       "max            2.000000  \n",
       "\n",
       "[8 rows x 471 columns]"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_df2.describe()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Create a new label for each building"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "my_list = []\n",
    "for i, rows in train_df2.iterrows():\n",
    "        if rows['BUILDINGID']==0.0:\n",
    "            my_list.append(\"A\")\n",
    "        elif rows['BUILDINGID']==1.0:\n",
    "            my_list.append(\"B\")\n",
    "        elif rows['BUILDINGID']==2.0:\n",
    "            my_list.append(\"C\")\n",
    "        elif rows['BUILDINGID']==3.0:\n",
    "            my_list.append(\"D\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "building_label = pd.DataFrame(my_list)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Tobi\\Anaconda2\\lib\\site-packages\\ipykernel_launcher.py:1: SettingWithCopyWarning:\n",
      "\n",
      "\n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "\n"
     ]
    }
   ],
   "source": [
    "train_df2['building_label']=building_label"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
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       "      <td>1</td>\n",
       "      <td>102</td>\n",
       "      <td>2</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>7632.1436</td>\n",
       "      <td>4.864982e+06</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>122</td>\n",
       "      <td>2</td>\n",
       "      <td>A</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 472 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   WAP001  WAP002  WAP005  WAP006  WAP007  WAP008  WAP009  WAP010  WAP011  \\\n",
       "0    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "1    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "2    -105    -105    -105    -105    -105     -97    -105    -105    -105   \n",
       "3    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "4    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "\n",
       "   WAP012  ...  WAP517  WAP518  WAP519  LONGITUDE      LATITUDE  FLOOR  \\\n",
       "0    -105  ...    -105    -105    -105  7541.2643  4.864921e+06      2   \n",
       "1    -105  ...    -105    -105    -105  7536.6212  4.864934e+06      2   \n",
       "2    -105  ...    -105    -105    -105  7519.1524  4.864950e+06      2   \n",
       "3    -105  ...    -105    -105    -105  7524.5704  4.864934e+06      2   \n",
       "4    -105  ...    -105    -105    -105  7632.1436  4.864982e+06      0   \n",
       "\n",
       "   BUILDINGID  SPACEID  RELATIVEPOSITION  building_label  \n",
       "0           1      106                 2               B  \n",
       "1           1      106                 2               B  \n",
       "2           1      103                 2               B  \n",
       "3           1      102                 2               B  \n",
       "4           0      122                 2               A  \n",
       "\n",
       "[5 rows x 472 columns]"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_df2.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "numpy.int64"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(train_df2['BUILDINGID'][1])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Create labels for a combination of building and floor to give new variable of a user's exact location"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "my_location = []\n",
    "for i, rows in train_df2.iterrows():\n",
    "    my_location.append(rows['building_label']+str(rows['FLOOR']))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [],
   "source": [
    "person_location = pd.DataFrame(my_location) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Tobi\\Anaconda2\\lib\\site-packages\\ipykernel_launcher.py:1: SettingWithCopyWarning:\n",
      "\n",
      "\n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "\n"
     ]
    }
   ],
   "source": [
    "train_df2['person_location']=person_location"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>WAP001</th>\n",
       "      <th>WAP002</th>\n",
       "      <th>WAP005</th>\n",
       "      <th>WAP006</th>\n",
       "      <th>WAP007</th>\n",
       "      <th>WAP008</th>\n",
       "      <th>WAP009</th>\n",
       "      <th>WAP010</th>\n",
       "      <th>WAP011</th>\n",
       "      <th>WAP012</th>\n",
       "      <th>...</th>\n",
       "      <th>WAP518</th>\n",
       "      <th>WAP519</th>\n",
       "      <th>LONGITUDE</th>\n",
       "      <th>LATITUDE</th>\n",
       "      <th>FLOOR</th>\n",
       "      <th>BUILDINGID</th>\n",
       "      <th>SPACEID</th>\n",
       "      <th>RELATIVEPOSITION</th>\n",
       "      <th>building_label</th>\n",
       "      <th>person_location</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
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       "      <td>-105</td>\n",
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       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>7541.2643</td>\n",
       "      <td>4.864921e+06</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>106</td>\n",
       "      <td>2</td>\n",
       "      <td>B</td>\n",
       "      <td>B2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>7536.6212</td>\n",
       "      <td>4.864934e+06</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>106</td>\n",
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       "      <td>B2</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-97</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>7519.1524</td>\n",
       "      <td>4.864950e+06</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>103</td>\n",
       "      <td>2</td>\n",
       "      <td>B</td>\n",
       "      <td>B2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>7524.5704</td>\n",
       "      <td>4.864934e+06</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>102</td>\n",
       "      <td>2</td>\n",
       "      <td>B</td>\n",
       "      <td>B2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>7632.1436</td>\n",
       "      <td>4.864982e+06</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>122</td>\n",
       "      <td>2</td>\n",
       "      <td>A</td>\n",
       "      <td>A0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 473 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   WAP001  WAP002  WAP005  WAP006  WAP007  WAP008  WAP009  WAP010  WAP011  \\\n",
       "0    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "1    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "2    -105    -105    -105    -105    -105     -97    -105    -105    -105   \n",
       "3    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "4    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "\n",
       "   WAP012  ...  WAP518  WAP519  LONGITUDE      LATITUDE  FLOOR  BUILDINGID  \\\n",
       "0    -105  ...    -105    -105  7541.2643  4.864921e+06      2           1   \n",
       "1    -105  ...    -105    -105  7536.6212  4.864934e+06      2           1   \n",
       "2    -105  ...    -105    -105  7519.1524  4.864950e+06      2           1   \n",
       "3    -105  ...    -105    -105  7524.5704  4.864934e+06      2           1   \n",
       "4    -105  ...    -105    -105  7632.1436  4.864982e+06      0           0   \n",
       "\n",
       "   SPACEID  RELATIVEPOSITION  building_label  person_location  \n",
       "0      106                 2               B               B2  \n",
       "1      106                 2               B               B2  \n",
       "2      103                 2               B               B2  \n",
       "3      102                 2               B               B2  \n",
       "4      122                 2               A               A0  \n",
       "\n",
       "[5 rows x 473 columns]"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_df2.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1b105273b70>"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "train_df2['FLOOR'].plot(kind='hist')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Convert \"person_location\" column to category so Python treats it appropriately"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Tobi\\Anaconda2\\lib\\site-packages\\ipykernel_launcher.py:1: SettingWithCopyWarning:\n",
      "\n",
      "\n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "\n"
     ]
    }
   ],
   "source": [
    "train_df2['person_location']=train_df2['person_location'].astype('category')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>WAP001</th>\n",
       "      <th>WAP002</th>\n",
       "      <th>WAP005</th>\n",
       "      <th>WAP006</th>\n",
       "      <th>WAP007</th>\n",
       "      <th>WAP008</th>\n",
       "      <th>WAP009</th>\n",
       "      <th>WAP010</th>\n",
       "      <th>WAP011</th>\n",
       "      <th>WAP012</th>\n",
       "      <th>...</th>\n",
       "      <th>WAP518</th>\n",
       "      <th>WAP519</th>\n",
       "      <th>LONGITUDE</th>\n",
       "      <th>LATITUDE</th>\n",
       "      <th>FLOOR</th>\n",
       "      <th>BUILDINGID</th>\n",
       "      <th>SPACEID</th>\n",
       "      <th>RELATIVEPOSITION</th>\n",
       "      <th>building_label</th>\n",
       "      <th>person_location</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>7541.2643</td>\n",
       "      <td>4.864921e+06</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>106</td>\n",
       "      <td>2</td>\n",
       "      <td>B</td>\n",
       "      <td>B2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>7536.6212</td>\n",
       "      <td>4.864934e+06</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>106</td>\n",
       "      <td>2</td>\n",
       "      <td>B</td>\n",
       "      <td>B2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-97</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>7519.1524</td>\n",
       "      <td>4.864950e+06</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>103</td>\n",
       "      <td>2</td>\n",
       "      <td>B</td>\n",
       "      <td>B2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>7524.5704</td>\n",
       "      <td>4.864934e+06</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>102</td>\n",
       "      <td>2</td>\n",
       "      <td>B</td>\n",
       "      <td>B2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>7632.1436</td>\n",
       "      <td>4.864982e+06</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>122</td>\n",
       "      <td>2</td>\n",
       "      <td>A</td>\n",
       "      <td>A0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 473 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   WAP001  WAP002  WAP005  WAP006  WAP007  WAP008  WAP009  WAP010  WAP011  \\\n",
       "0    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "1    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "2    -105    -105    -105    -105    -105     -97    -105    -105    -105   \n",
       "3    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "4    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "\n",
       "   WAP012  ...  WAP518  WAP519  LONGITUDE      LATITUDE  FLOOR  BUILDINGID  \\\n",
       "0    -105  ...    -105    -105  7541.2643  4.864921e+06      2           1   \n",
       "1    -105  ...    -105    -105  7536.6212  4.864934e+06      2           1   \n",
       "2    -105  ...    -105    -105  7519.1524  4.864950e+06      2           1   \n",
       "3    -105  ...    -105    -105  7524.5704  4.864934e+06      2           1   \n",
       "4    -105  ...    -105    -105  7632.1436  4.864982e+06      0           0   \n",
       "\n",
       "   SPACEID  RELATIVEPOSITION  building_label  person_location  \n",
       "0      106                 2               B               B2  \n",
       "1      106                 2               B               B2  \n",
       "2      103                 2               B               B2  \n",
       "3      102                 2               B               B2  \n",
       "4      122                 2               A               A0  \n",
       "\n",
       "[5 rows x 473 columns]"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_df2.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Drop 'building' column\n",
    "This was only created to produce 'person_location' feature"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>WAP001</th>\n",
       "      <th>WAP002</th>\n",
       "      <th>WAP005</th>\n",
       "      <th>WAP006</th>\n",
       "      <th>WAP007</th>\n",
       "      <th>WAP008</th>\n",
       "      <th>WAP009</th>\n",
       "      <th>WAP010</th>\n",
       "      <th>WAP011</th>\n",
       "      <th>WAP012</th>\n",
       "      <th>...</th>\n",
       "      <th>WAP517</th>\n",
       "      <th>WAP518</th>\n",
       "      <th>WAP519</th>\n",
       "      <th>LONGITUDE</th>\n",
       "      <th>LATITUDE</th>\n",
       "      <th>FLOOR</th>\n",
       "      <th>BUILDINGID</th>\n",
       "      <th>SPACEID</th>\n",
       "      <th>RELATIVEPOSITION</th>\n",
       "      <th>person_location</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>7541.264300</td>\n",
       "      <td>4.864921e+06</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>106</td>\n",
       "      <td>2</td>\n",
       "      <td>B2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>7536.621200</td>\n",
       "      <td>4.864934e+06</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>106</td>\n",
       "      <td>2</td>\n",
       "      <td>B2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-97</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>7519.152400</td>\n",
       "      <td>4.864950e+06</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>103</td>\n",
       "      <td>2</td>\n",
       "      <td>B2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>7524.570400</td>\n",
       "      <td>4.864934e+06</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>102</td>\n",
       "      <td>2</td>\n",
       "      <td>B2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>7632.143600</td>\n",
       "      <td>4.864982e+06</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>122</td>\n",
       "      <td>2</td>\n",
       "      <td>A0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>7533.896200</td>\n",
       "      <td>4.864939e+06</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>105</td>\n",
       "      <td>2</td>\n",
       "      <td>B2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>7519.152400</td>\n",
       "      <td>4.864950e+06</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>103</td>\n",
       "      <td>2</td>\n",
       "      <td>B2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>7527.451100</td>\n",
       "      <td>4.864929e+06</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>101</td>\n",
       "      <td>2</td>\n",
       "      <td>B2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>7559.497300</td>\n",
       "      <td>4.864888e+06</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>112</td>\n",
       "      <td>2</td>\n",
       "      <td>B2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>7510.437173</td>\n",
       "      <td>4.864949e+06</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>103</td>\n",
       "      <td>1</td>\n",
       "      <td>B2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-83</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>7528.816402</td>\n",
       "      <td>4.864959e+06</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>104</td>\n",
       "      <td>1</td>\n",
       "      <td>B2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-90</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>7523.628200</td>\n",
       "      <td>4.864952e+06</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>104</td>\n",
       "      <td>2</td>\n",
       "      <td>B2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>7571.093400</td>\n",
       "      <td>4.864872e+06</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>110</td>\n",
       "      <td>2</td>\n",
       "      <td>B2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>7559.782000</td>\n",
       "      <td>4.864871e+06</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>108</td>\n",
       "      <td>2</td>\n",
       "      <td>B2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>7562.186200</td>\n",
       "      <td>4.864867e+06</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>109</td>\n",
       "      <td>2</td>\n",
       "      <td>B2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>7564.196300</td>\n",
       "      <td>4.864887e+06</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>111</td>\n",
       "      <td>2</td>\n",
       "      <td>B2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>7555.132300</td>\n",
       "      <td>4.864885e+06</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>107</td>\n",
       "      <td>2</td>\n",
       "      <td>B2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>7520.724500</td>\n",
       "      <td>4.864892e+06</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>15</td>\n",
       "      <td>2</td>\n",
       "      <td>B2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>7521.867186</td>\n",
       "      <td>4.864889e+06</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>29</td>\n",
       "      <td>1</td>\n",
       "      <td>B2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>7537.339900</td>\n",
       "      <td>4.864896e+06</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>117</td>\n",
       "      <td>2</td>\n",
       "      <td>B2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-94</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>7526.710927</td>\n",
       "      <td>4.864893e+06</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>15</td>\n",
       "      <td>1</td>\n",
       "      <td>B2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>7516.088800</td>\n",
       "      <td>4.864890e+06</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>16</td>\n",
       "      <td>2</td>\n",
       "      <td>B2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>7512.604164</td>\n",
       "      <td>4.864885e+06</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>16</td>\n",
       "      <td>1</td>\n",
       "      <td>B2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-95</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>7520.755800</td>\n",
       "      <td>4.864891e+06</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>29</td>\n",
       "      <td>2</td>\n",
       "      <td>B2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>7516.841500</td>\n",
       "      <td>4.864889e+06</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>28</td>\n",
       "      <td>2</td>\n",
       "      <td>B2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>7502.449700</td>\n",
       "      <td>4.864884e+06</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>22</td>\n",
       "      <td>2</td>\n",
       "      <td>B2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>7489.177500</td>\n",
       "      <td>4.864900e+06</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>2</td>\n",
       "      <td>B2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>7482.456176</td>\n",
       "      <td>4.864901e+06</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>1</td>\n",
       "      <td>B2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>7491.030634</td>\n",
       "      <td>4.864865e+06</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>B2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>7501.221900</td>\n",
       "      <td>4.864863e+06</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>B2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19907</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>7541.263500</td>\n",
       "      <td>4.864921e+06</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>104</td>\n",
       "      <td>2</td>\n",
       "      <td>B3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19908</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>7539.413493</td>\n",
       "      <td>4.864924e+06</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>104</td>\n",
       "      <td>1</td>\n",
       "      <td>B3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19909</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>7526.320097</td>\n",
       "      <td>4.864920e+06</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>101</td>\n",
       "      <td>1</td>\n",
       "      <td>B3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19910</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>7404.436200</td>\n",
       "      <td>4.864809e+06</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>215</td>\n",
       "      <td>2</td>\n",
       "      <td>C1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19911</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>7404.835700</td>\n",
       "      <td>4.864808e+06</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>214</td>\n",
       "      <td>2</td>\n",
       "      <td>C1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19912</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>7408.338870</td>\n",
       "      <td>4.864812e+06</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>214</td>\n",
       "      <td>1</td>\n",
       "      <td>C1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19913</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-84</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>7405.654400</td>\n",
       "      <td>4.864802e+06</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>201</td>\n",
       "      <td>2</td>\n",
       "      <td>C1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19914</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-88</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>7408.565700</td>\n",
       "      <td>4.864797e+06</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>212</td>\n",
       "      <td>2</td>\n",
       "      <td>C1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19915</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-86</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>7366.449900</td>\n",
       "      <td>4.864770e+06</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>224</td>\n",
       "      <td>2</td>\n",
       "      <td>C1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19916</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-85</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>7398.534500</td>\n",
       "      <td>4.864788e+06</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>202</td>\n",
       "      <td>2</td>\n",
       "      <td>C1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19917</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-85</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>7375.148100</td>\n",
       "      <td>4.864774e+06</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>209</td>\n",
       "      <td>2</td>\n",
       "      <td>C1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19918</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-92</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-84</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>7384.873200</td>\n",
       "      <td>4.864781e+06</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>204</td>\n",
       "      <td>2</td>\n",
       "      <td>C1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19919</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-85</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>7395.213200</td>\n",
       "      <td>4.864786e+06</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>203</td>\n",
       "      <td>2</td>\n",
       "      <td>C1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19920</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-84</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>7352.940800</td>\n",
       "      <td>4.864763e+06</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>223</td>\n",
       "      <td>2</td>\n",
       "      <td>C1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19921</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-81</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>7336.944300</td>\n",
       "      <td>4.864764e+06</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>218</td>\n",
       "      <td>2</td>\n",
       "      <td>C1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19922</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-89</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>7340.191400</td>\n",
       "      <td>4.864758e+06</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>216</td>\n",
       "      <td>2</td>\n",
       "      <td>C1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19923</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-88</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>7349.475600</td>\n",
       "      <td>4.864761e+06</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>221</td>\n",
       "      <td>2</td>\n",
       "      <td>C1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19924</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-88</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>7363.159000</td>\n",
       "      <td>4.864768e+06</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>224</td>\n",
       "      <td>2</td>\n",
       "      <td>C1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19925</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>7327.479452</td>\n",
       "      <td>4.864767e+06</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>206</td>\n",
       "      <td>1</td>\n",
       "      <td>C1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19926</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-87</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>7331.496600</td>\n",
       "      <td>4.864768e+06</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>206</td>\n",
       "      <td>2</td>\n",
       "      <td>C1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19927</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-77</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>7390.734700</td>\n",
       "      <td>4.864835e+06</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>141</td>\n",
       "      <td>2</td>\n",
       "      <td>C1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19928</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-87</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>7331.463800</td>\n",
       "      <td>4.864769e+06</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>207</td>\n",
       "      <td>2</td>\n",
       "      <td>C1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19929</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>7496.900900</td>\n",
       "      <td>4.864897e+06</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>B3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19930</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>7516.198400</td>\n",
       "      <td>4.864890e+06</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>B3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19931</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-91</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>7394.577825</td>\n",
       "      <td>4.864837e+06</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>140</td>\n",
       "      <td>1</td>\n",
       "      <td>C1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19932</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>7485.468600</td>\n",
       "      <td>4.864875e+06</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>B3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19933</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>7390.620600</td>\n",
       "      <td>4.864836e+06</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>140</td>\n",
       "      <td>2</td>\n",
       "      <td>C1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19934</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>7516.841500</td>\n",
       "      <td>4.864889e+06</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>13</td>\n",
       "      <td>2</td>\n",
       "      <td>B3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19935</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>7537.321900</td>\n",
       "      <td>4.864896e+06</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>113</td>\n",
       "      <td>2</td>\n",
       "      <td>B3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19936</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>7536.165800</td>\n",
       "      <td>4.864898e+06</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>112</td>\n",
       "      <td>2</td>\n",
       "      <td>B3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>19937 rows × 472 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       WAP001  WAP002  WAP005  WAP006  WAP007  WAP008  WAP009  WAP010  WAP011  \\\n",
       "0        -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "1        -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "2        -105    -105    -105    -105    -105     -97    -105    -105    -105   \n",
       "3        -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "4        -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "5        -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "6        -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "7        -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "8        -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "9        -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "10       -105    -105    -105    -105    -105     -83    -105    -105    -105   \n",
       "11       -105    -105    -105    -105    -105     -90    -105    -105    -105   \n",
       "12       -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "13       -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "14       -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "15       -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "16       -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "17       -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "18       -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "19       -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "20       -105    -105    -105    -105    -105    -105    -105     -94    -105   \n",
       "21       -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "22       -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "23       -105    -105    -105    -105    -105    -105    -105     -95    -105   \n",
       "24       -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "25       -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "26       -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "27       -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "28       -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "29       -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "...       ...     ...     ...     ...     ...     ...     ...     ...     ...   \n",
       "19907    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "19908    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "19909    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "19910    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "19911    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "19912    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "19913    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "19914    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "19915    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "19916    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "19917    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "19918    -105    -105    -105    -105    -105    -105    -105    -105     -92   \n",
       "19919    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "19920    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "19921    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "19922    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "19923    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "19924    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "19925    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "19926    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "19927    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "19928    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "19929    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "19930    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "19931    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "19932    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "19933    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "19934    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "19935    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "19936    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "\n",
       "       WAP012  ...  WAP517  WAP518  WAP519    LONGITUDE      LATITUDE  FLOOR  \\\n",
       "0        -105  ...    -105    -105    -105  7541.264300  4.864921e+06      2   \n",
       "1        -105  ...    -105    -105    -105  7536.621200  4.864934e+06      2   \n",
       "2        -105  ...    -105    -105    -105  7519.152400  4.864950e+06      2   \n",
       "3        -105  ...    -105    -105    -105  7524.570400  4.864934e+06      2   \n",
       "4        -105  ...    -105    -105    -105  7632.143600  4.864982e+06      0   \n",
       "5        -105  ...    -105    -105    -105  7533.896200  4.864939e+06      2   \n",
       "6        -105  ...    -105    -105    -105  7519.152400  4.864950e+06      2   \n",
       "7        -105  ...    -105    -105    -105  7527.451100  4.864929e+06      2   \n",
       "8        -105  ...    -105    -105    -105  7559.497300  4.864888e+06      2   \n",
       "9        -105  ...    -105    -105    -105  7510.437173  4.864949e+06      2   \n",
       "10       -105  ...    -105    -105    -105  7528.816402  4.864959e+06      2   \n",
       "11       -105  ...    -105    -105    -105  7523.628200  4.864952e+06      2   \n",
       "12       -105  ...    -105    -105    -105  7571.093400  4.864872e+06      2   \n",
       "13       -105  ...    -105    -105    -105  7559.782000  4.864871e+06      2   \n",
       "14       -105  ...    -105    -105    -105  7562.186200  4.864867e+06      2   \n",
       "15       -105  ...    -105    -105    -105  7564.196300  4.864887e+06      2   \n",
       "16       -105  ...    -105    -105    -105  7555.132300  4.864885e+06      2   \n",
       "17       -105  ...    -105    -105    -105  7520.724500  4.864892e+06      2   \n",
       "18       -105  ...    -105    -105    -105  7521.867186  4.864889e+06      2   \n",
       "19       -105  ...    -105    -105    -105  7537.339900  4.864896e+06      2   \n",
       "20       -105  ...    -105    -105    -105  7526.710927  4.864893e+06      2   \n",
       "21       -105  ...    -105    -105    -105  7516.088800  4.864890e+06      2   \n",
       "22       -105  ...    -105    -105    -105  7512.604164  4.864885e+06      2   \n",
       "23       -105  ...    -105    -105    -105  7520.755800  4.864891e+06      2   \n",
       "24       -105  ...    -105    -105    -105  7516.841500  4.864889e+06      2   \n",
       "25       -105  ...    -105    -105    -105  7502.449700  4.864884e+06      2   \n",
       "26       -105  ...    -105    -105    -105  7489.177500  4.864900e+06      2   \n",
       "27       -105  ...    -105    -105    -105  7482.456176  4.864901e+06      2   \n",
       "28       -105  ...    -105    -105    -105  7491.030634  4.864865e+06      2   \n",
       "29       -105  ...    -105    -105    -105  7501.221900  4.864863e+06      2   \n",
       "...       ...  ...     ...     ...     ...          ...           ...    ...   \n",
       "19907    -105  ...    -105    -105    -105  7541.263500  4.864921e+06      3   \n",
       "19908    -105  ...    -105    -105    -105  7539.413493  4.864924e+06      3   \n",
       "19909    -105  ...    -105    -105    -105  7526.320097  4.864920e+06      3   \n",
       "19910    -105  ...    -105    -105    -105  7404.436200  4.864809e+06      1   \n",
       "19911    -105  ...    -105    -105    -105  7404.835700  4.864808e+06      1   \n",
       "19912    -105  ...    -105    -105    -105  7408.338870  4.864812e+06      1   \n",
       "19913    -105  ...     -84    -105    -105  7405.654400  4.864802e+06      1   \n",
       "19914    -105  ...     -88    -105    -105  7408.565700  4.864797e+06      1   \n",
       "19915    -105  ...     -86    -105    -105  7366.449900  4.864770e+06      1   \n",
       "19916    -105  ...     -85    -105    -105  7398.534500  4.864788e+06      1   \n",
       "19917    -105  ...     -85    -105    -105  7375.148100  4.864774e+06      1   \n",
       "19918    -105  ...     -84    -105    -105  7384.873200  4.864781e+06      1   \n",
       "19919    -105  ...     -85    -105    -105  7395.213200  4.864786e+06      1   \n",
       "19920    -105  ...     -84    -105    -105  7352.940800  4.864763e+06      1   \n",
       "19921    -105  ...     -81    -105    -105  7336.944300  4.864764e+06      1   \n",
       "19922    -105  ...     -89    -105    -105  7340.191400  4.864758e+06      1   \n",
       "19923    -105  ...     -88    -105    -105  7349.475600  4.864761e+06      1   \n",
       "19924    -105  ...     -88    -105    -105  7363.159000  4.864768e+06      1   \n",
       "19925    -105  ...    -105    -105    -105  7327.479452  4.864767e+06      1   \n",
       "19926    -105  ...     -87    -105    -105  7331.496600  4.864768e+06      1   \n",
       "19927    -105  ...     -77    -105    -105  7390.734700  4.864835e+06      1   \n",
       "19928    -105  ...     -87    -105    -105  7331.463800  4.864769e+06      1   \n",
       "19929    -105  ...    -105    -105    -105  7496.900900  4.864897e+06      3   \n",
       "19930    -105  ...    -105    -105    -105  7516.198400  4.864890e+06      3   \n",
       "19931    -105  ...     -91    -105    -105  7394.577825  4.864837e+06      1   \n",
       "19932    -105  ...    -105    -105    -105  7485.468600  4.864875e+06      3   \n",
       "19933    -105  ...    -105    -105    -105  7390.620600  4.864836e+06      1   \n",
       "19934    -105  ...    -105    -105    -105  7516.841500  4.864889e+06      3   \n",
       "19935    -105  ...    -105    -105    -105  7537.321900  4.864896e+06      3   \n",
       "19936    -105  ...    -105    -105    -105  7536.165800  4.864898e+06      3   \n",
       "\n",
       "       BUILDINGID  SPACEID  RELATIVEPOSITION  person_location  \n",
       "0               1      106                 2               B2  \n",
       "1               1      106                 2               B2  \n",
       "2               1      103                 2               B2  \n",
       "3               1      102                 2               B2  \n",
       "4               0      122                 2               A0  \n",
       "5               1      105                 2               B2  \n",
       "6               1      103                 2               B2  \n",
       "7               1      101                 2               B2  \n",
       "8               1      112                 2               B2  \n",
       "9               1      103                 1               B2  \n",
       "10              1      104                 1               B2  \n",
       "11              1      104                 2               B2  \n",
       "12              1      110                 2               B2  \n",
       "13              1      108                 2               B2  \n",
       "14              1      109                 2               B2  \n",
       "15              1      111                 2               B2  \n",
       "16              1      107                 2               B2  \n",
       "17              1       15                 2               B2  \n",
       "18              1       29                 1               B2  \n",
       "19              1      117                 2               B2  \n",
       "20              1       15                 1               B2  \n",
       "21              1       16                 2               B2  \n",
       "22              1       16                 1               B2  \n",
       "23              1       29                 2               B2  \n",
       "24              1       28                 2               B2  \n",
       "25              1       22                 2               B2  \n",
       "26              1       10                 2               B2  \n",
       "27              1       10                 1               B2  \n",
       "28              1        2                 1               B2  \n",
       "29              1        2                 2               B2  \n",
       "...           ...      ...               ...              ...  \n",
       "19907           1      104                 2               B3  \n",
       "19908           1      104                 1               B3  \n",
       "19909           1      101                 1               B3  \n",
       "19910           2      215                 2               C1  \n",
       "19911           2      214                 2               C1  \n",
       "19912           2      214                 1               C1  \n",
       "19913           2      201                 2               C1  \n",
       "19914           2      212                 2               C1  \n",
       "19915           2      224                 2               C1  \n",
       "19916           2      202                 2               C1  \n",
       "19917           2      209                 2               C1  \n",
       "19918           2      204                 2               C1  \n",
       "19919           2      203                 2               C1  \n",
       "19920           2      223                 2               C1  \n",
       "19921           2      218                 2               C1  \n",
       "19922           2      216                 2               C1  \n",
       "19923           2      221                 2               C1  \n",
       "19924           2      224                 2               C1  \n",
       "19925           2      206                 1               C1  \n",
       "19926           2      206                 2               C1  \n",
       "19927           2      141                 2               C1  \n",
       "19928           2      207                 2               C1  \n",
       "19929           1        2                 2               B3  \n",
       "19930           1        4                 2               B3  \n",
       "19931           2      140                 1               C1  \n",
       "19932           1        1                 2               B3  \n",
       "19933           2      140                 2               C1  \n",
       "19934           1       13                 2               B3  \n",
       "19935           1      113                 2               B3  \n",
       "19936           1      112                 2               B3  \n",
       "\n",
       "[19937 rows x 472 columns]"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_df2.drop(columns=['building_label'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>WAP001</th>\n",
       "      <th>WAP002</th>\n",
       "      <th>WAP005</th>\n",
       "      <th>WAP006</th>\n",
       "      <th>WAP007</th>\n",
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       "      <th>WAP510</th>\n",
       "      <th>WAP511</th>\n",
       "      <th>WAP512</th>\n",
       "      <th>WAP513</th>\n",
       "      <th>WAP514</th>\n",
       "      <th>WAP515</th>\n",
       "      <th>WAP516</th>\n",
       "      <th>WAP517</th>\n",
       "      <th>WAP518</th>\n",
       "      <th>WAP519</th>\n",
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       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
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       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
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       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
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       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
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       "      <th>2</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-97</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
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       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
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       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-83</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-90</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-94</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-95</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19907</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19908</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19909</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19910</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19911</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19912</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19913</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-84</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19914</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-88</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19915</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-93</td>\n",
       "      <td>-86</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19916</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-85</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19917</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-85</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19918</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-92</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-96</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-84</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19919</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-95</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-92</td>\n",
       "      <td>-85</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19920</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-84</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19921</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-81</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19922</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-89</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19923</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-88</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19924</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-92</td>\n",
       "      <td>-88</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19925</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19926</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-87</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19927</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-84</td>\n",
       "      <td>-77</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19928</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-90</td>\n",
       "      <td>-87</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19929</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19930</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19931</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-91</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19932</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19933</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19934</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19935</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19936</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>19937 rows × 465 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       WAP001  WAP002  WAP005  WAP006  WAP007  WAP008  WAP009  WAP010  WAP011  \\\n",
       "0        -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "1        -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "2        -105    -105    -105    -105    -105     -97    -105    -105    -105   \n",
       "3        -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "4        -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "5        -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "6        -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "7        -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "8        -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "9        -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "10       -105    -105    -105    -105    -105     -83    -105    -105    -105   \n",
       "11       -105    -105    -105    -105    -105     -90    -105    -105    -105   \n",
       "12       -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "13       -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "14       -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "15       -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "16       -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "17       -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "18       -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "19       -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "20       -105    -105    -105    -105    -105    -105    -105     -94    -105   \n",
       "21       -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "22       -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "23       -105    -105    -105    -105    -105    -105    -105     -95    -105   \n",
       "24       -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "25       -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "26       -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "27       -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "28       -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "29       -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "...       ...     ...     ...     ...     ...     ...     ...     ...     ...   \n",
       "19907    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "19908    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "19909    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "19910    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "19911    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "19912    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "19913    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "19914    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "19915    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "19916    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "19917    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "19918    -105    -105    -105    -105    -105    -105    -105    -105     -92   \n",
       "19919    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "19920    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "19921    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "19922    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "19923    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "19924    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "19925    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "19926    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "19927    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "19928    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "19929    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "19930    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "19931    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "19932    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "19933    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "19934    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "19935    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "19936    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "\n",
       "       WAP012  ...  WAP510  WAP511  WAP512  WAP513  WAP514  WAP515  WAP516  \\\n",
       "0        -105  ...    -105    -105    -105    -105    -105    -105    -105   \n",
       "1        -105  ...    -105    -105    -105    -105    -105    -105    -105   \n",
       "2        -105  ...    -105    -105    -105    -105    -105    -105    -105   \n",
       "3        -105  ...    -105    -105    -105    -105    -105    -105    -105   \n",
       "4        -105  ...    -105    -105    -105    -105    -105    -105    -105   \n",
       "5        -105  ...    -105    -105    -105    -105    -105    -105    -105   \n",
       "6        -105  ...    -105    -105    -105    -105    -105    -105    -105   \n",
       "7        -105  ...    -105    -105    -105    -105    -105    -105    -105   \n",
       "8        -105  ...    -105    -105    -105    -105    -105    -105    -105   \n",
       "9        -105  ...    -105    -105    -105    -105    -105    -105    -105   \n",
       "10       -105  ...    -105    -105    -105    -105    -105    -105    -105   \n",
       "11       -105  ...    -105    -105    -105    -105    -105    -105    -105   \n",
       "12       -105  ...    -105    -105    -105    -105    -105    -105    -105   \n",
       "13       -105  ...    -105    -105    -105    -105    -105    -105    -105   \n",
       "14       -105  ...    -105    -105    -105    -105    -105    -105    -105   \n",
       "15       -105  ...    -105    -105    -105    -105    -105    -105    -105   \n",
       "16       -105  ...    -105    -105    -105    -105    -105    -105    -105   \n",
       "17       -105  ...    -105    -105    -105    -105    -105    -105    -105   \n",
       "18       -105  ...    -105    -105    -105    -105    -105    -105    -105   \n",
       "19       -105  ...    -105    -105    -105    -105    -105    -105    -105   \n",
       "20       -105  ...    -105    -105    -105    -105    -105    -105    -105   \n",
       "21       -105  ...    -105    -105    -105    -105    -105    -105    -105   \n",
       "22       -105  ...    -105    -105    -105    -105    -105    -105    -105   \n",
       "23       -105  ...    -105    -105    -105    -105    -105    -105    -105   \n",
       "24       -105  ...    -105    -105    -105    -105    -105    -105    -105   \n",
       "25       -105  ...    -105    -105    -105    -105    -105    -105    -105   \n",
       "26       -105  ...    -105    -105    -105    -105    -105    -105    -105   \n",
       "27       -105  ...    -105    -105    -105    -105    -105    -105    -105   \n",
       "28       -105  ...    -105    -105    -105    -105    -105    -105    -105   \n",
       "29       -105  ...    -105    -105    -105    -105    -105    -105    -105   \n",
       "...       ...  ...     ...     ...     ...     ...     ...     ...     ...   \n",
       "19907    -105  ...    -105    -105    -105    -105    -105    -105    -105   \n",
       "19908    -105  ...    -105    -105    -105    -105    -105    -105    -105   \n",
       "19909    -105  ...    -105    -105    -105    -105    -105    -105    -105   \n",
       "19910    -105  ...    -105    -105    -105    -105    -105    -105    -105   \n",
       "19911    -105  ...    -105    -105    -105    -105    -105    -105    -105   \n",
       "19912    -105  ...    -105    -105    -105    -105    -105    -105    -105   \n",
       "19913    -105  ...    -105    -105    -105    -105    -105    -105    -105   \n",
       "19914    -105  ...    -105    -105    -105    -105    -105    -105    -105   \n",
       "19915    -105  ...    -105    -105    -105    -105    -105    -105     -93   \n",
       "19916    -105  ...    -105    -105    -105    -105    -105    -105    -105   \n",
       "19917    -105  ...    -105    -105    -105    -105    -105    -105    -105   \n",
       "19918    -105  ...    -105     -96    -105    -105    -105    -105    -105   \n",
       "19919    -105  ...    -105     -95    -105    -105    -105    -105     -92   \n",
       "19920    -105  ...    -105    -105    -105    -105    -105    -105    -105   \n",
       "19921    -105  ...    -105    -105    -105    -105    -105    -105    -105   \n",
       "19922    -105  ...    -105    -105    -105    -105    -105    -105    -105   \n",
       "19923    -105  ...    -105    -105    -105    -105    -105    -105    -105   \n",
       "19924    -105  ...    -105    -105    -105    -105    -105    -105     -92   \n",
       "19925    -105  ...    -105    -105    -105    -105    -105    -105    -105   \n",
       "19926    -105  ...    -105    -105    -105    -105    -105    -105    -105   \n",
       "19927    -105  ...    -105    -105    -105    -105    -105    -105     -84   \n",
       "19928    -105  ...    -105    -105    -105    -105    -105    -105     -90   \n",
       "19929    -105  ...    -105    -105    -105    -105    -105    -105    -105   \n",
       "19930    -105  ...    -105    -105    -105    -105    -105    -105    -105   \n",
       "19931    -105  ...    -105    -105    -105    -105    -105    -105    -105   \n",
       "19932    -105  ...    -105    -105    -105    -105    -105    -105    -105   \n",
       "19933    -105  ...    -105    -105    -105    -105    -105    -105    -105   \n",
       "19934    -105  ...    -105    -105    -105    -105    -105    -105    -105   \n",
       "19935    -105  ...    -105    -105    -105    -105    -105    -105    -105   \n",
       "19936    -105  ...    -105    -105    -105    -105    -105    -105    -105   \n",
       "\n",
       "       WAP517  WAP518  WAP519  \n",
       "0        -105    -105    -105  \n",
       "1        -105    -105    -105  \n",
       "2        -105    -105    -105  \n",
       "3        -105    -105    -105  \n",
       "4        -105    -105    -105  \n",
       "5        -105    -105    -105  \n",
       "6        -105    -105    -105  \n",
       "7        -105    -105    -105  \n",
       "8        -105    -105    -105  \n",
       "9        -105    -105    -105  \n",
       "10       -105    -105    -105  \n",
       "11       -105    -105    -105  \n",
       "12       -105    -105    -105  \n",
       "13       -105    -105    -105  \n",
       "14       -105    -105    -105  \n",
       "15       -105    -105    -105  \n",
       "16       -105    -105    -105  \n",
       "17       -105    -105    -105  \n",
       "18       -105    -105    -105  \n",
       "19       -105    -105    -105  \n",
       "20       -105    -105    -105  \n",
       "21       -105    -105    -105  \n",
       "22       -105    -105    -105  \n",
       "23       -105    -105    -105  \n",
       "24       -105    -105    -105  \n",
       "25       -105    -105    -105  \n",
       "26       -105    -105    -105  \n",
       "27       -105    -105    -105  \n",
       "28       -105    -105    -105  \n",
       "29       -105    -105    -105  \n",
       "...       ...     ...     ...  \n",
       "19907    -105    -105    -105  \n",
       "19908    -105    -105    -105  \n",
       "19909    -105    -105    -105  \n",
       "19910    -105    -105    -105  \n",
       "19911    -105    -105    -105  \n",
       "19912    -105    -105    -105  \n",
       "19913     -84    -105    -105  \n",
       "19914     -88    -105    -105  \n",
       "19915     -86    -105    -105  \n",
       "19916     -85    -105    -105  \n",
       "19917     -85    -105    -105  \n",
       "19918     -84    -105    -105  \n",
       "19919     -85    -105    -105  \n",
       "19920     -84    -105    -105  \n",
       "19921     -81    -105    -105  \n",
       "19922     -89    -105    -105  \n",
       "19923     -88    -105    -105  \n",
       "19924     -88    -105    -105  \n",
       "19925    -105    -105    -105  \n",
       "19926     -87    -105    -105  \n",
       "19927     -77    -105    -105  \n",
       "19928     -87    -105    -105  \n",
       "19929    -105    -105    -105  \n",
       "19930    -105    -105    -105  \n",
       "19931     -91    -105    -105  \n",
       "19932    -105    -105    -105  \n",
       "19933    -105    -105    -105  \n",
       "19934    -105    -105    -105  \n",
       "19935    -105    -105    -105  \n",
       "19936    -105    -105    -105  \n",
       "\n",
       "[19937 rows x 465 columns]"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Select only columns\n",
    "train_df2.iloc[:,:-8]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Change person_location to category"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0        B2\n",
       "1        B2\n",
       "2        B2\n",
       "3        B2\n",
       "4        A0\n",
       "5        B2\n",
       "6        B2\n",
       "7        B2\n",
       "8        B2\n",
       "9        B2\n",
       "10       B2\n",
       "11       B2\n",
       "12       B2\n",
       "13       B2\n",
       "14       B2\n",
       "15       B2\n",
       "16       B2\n",
       "17       B2\n",
       "18       B2\n",
       "19       B2\n",
       "20       B2\n",
       "21       B2\n",
       "22       B2\n",
       "23       B2\n",
       "24       B2\n",
       "25       B2\n",
       "26       B2\n",
       "27       B2\n",
       "28       B2\n",
       "29       B2\n",
       "         ..\n",
       "19907    B3\n",
       "19908    B3\n",
       "19909    B3\n",
       "19910    C1\n",
       "19911    C1\n",
       "19912    C1\n",
       "19913    C1\n",
       "19914    C1\n",
       "19915    C1\n",
       "19916    C1\n",
       "19917    C1\n",
       "19918    C1\n",
       "19919    C1\n",
       "19920    C1\n",
       "19921    C1\n",
       "19922    C1\n",
       "19923    C1\n",
       "19924    C1\n",
       "19925    C1\n",
       "19926    C1\n",
       "19927    C1\n",
       "19928    C1\n",
       "19929    B3\n",
       "19930    B3\n",
       "19931    C1\n",
       "19932    B3\n",
       "19933    C1\n",
       "19934    B3\n",
       "19935    B3\n",
       "19936    B3\n",
       "Name: person_location, Length: 19937, dtype: category\n",
       "Categories (13, object): [A0, A1, A2, A3, ..., C1, C2, C3, C4]"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_df2['person_location'].astype('category')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1b1052ec390>"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "train_df2['person_location'].value_counts().plot(kind='bar')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "#train_var_df = pd.DataFrame(train_var)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [],
   "source": [
    "#train_var_df.reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [],
   "source": [
    "#train_var_df.columns = ['variance']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [],
   "source": [
    "#train_var_df.sort_values(by='variance', ascending=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_one = WAPs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>WAP001</th>\n",
       "      <th>WAP002</th>\n",
       "      <th>WAP005</th>\n",
       "      <th>WAP006</th>\n",
       "      <th>WAP007</th>\n",
       "      <th>WAP008</th>\n",
       "      <th>WAP009</th>\n",
       "      <th>WAP010</th>\n",
       "      <th>WAP011</th>\n",
       "      <th>WAP012</th>\n",
       "      <th>...</th>\n",
       "      <th>WAP510</th>\n",
       "      <th>WAP511</th>\n",
       "      <th>WAP512</th>\n",
       "      <th>WAP513</th>\n",
       "      <th>WAP514</th>\n",
       "      <th>WAP515</th>\n",
       "      <th>WAP516</th>\n",
       "      <th>WAP517</th>\n",
       "      <th>WAP518</th>\n",
       "      <th>WAP519</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-97</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>...</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "      <td>-105</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 465 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   WAP001  WAP002  WAP005  WAP006  WAP007  WAP008  WAP009  WAP010  WAP011  \\\n",
       "0    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "1    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "2    -105    -105    -105    -105    -105     -97    -105    -105    -105   \n",
       "3    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "4    -105    -105    -105    -105    -105    -105    -105    -105    -105   \n",
       "\n",
       "   WAP012  ...  WAP510  WAP511  WAP512  WAP513  WAP514  WAP515  WAP516  \\\n",
       "0    -105  ...    -105    -105    -105    -105    -105    -105    -105   \n",
       "1    -105  ...    -105    -105    -105    -105    -105    -105    -105   \n",
       "2    -105  ...    -105    -105    -105    -105    -105    -105    -105   \n",
       "3    -105  ...    -105    -105    -105    -105    -105    -105    -105   \n",
       "4    -105  ...    -105    -105    -105    -105    -105    -105    -105   \n",
       "\n",
       "   WAP517  WAP518  WAP519  \n",
       "0    -105    -105    -105  \n",
       "1    -105    -105    -105  \n",
       "2    -105    -105    -105  \n",
       "3    -105    -105    -105  \n",
       "4    -105    -105    -105  \n",
       "\n",
       "[5 rows x 465 columns]"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_one.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 19937 entries, 0 to 19936\n",
      "Columns: 465 entries, WAP001 to WAP519\n",
      "dtypes: int64(465)\n",
      "memory usage: 70.7 MB\n"
     ]
    }
   ],
   "source": [
    "train_one.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [],
   "source": [
    "X = train_one\n",
    "y = train_df2['LONGITUDE']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.30)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "5426     7359.297900\n",
       "6234     7417.558400\n",
       "15406    7460.767900\n",
       "14833    7480.428211\n",
       "6659     7311.829500\n",
       "Name: LONGITUDE, dtype: float64"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_train.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Linear Regression for Predicting Latitude"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.linear_model import LinearRegression"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [],
   "source": [
    "lm = LinearRegression()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "LinearRegression(copy_X=True, fit_intercept=True, n_jobs=None,\n",
       "         normalize=False)"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lm.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "13573.668120645365\n"
     ]
    }
   ],
   "source": [
    "print(lm.intercept_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[ 1.43987230e+00  7.24234438e-01  1.62006104e-01 -9.69411465e-02\n",
      "  5.28709380e-01  5.76901931e-01  5.27975461e-01  7.61607644e-01\n",
      " -2.77298652e-01 -8.52506236e-02  8.60563482e-03 -9.35362736e-02\n",
      " -2.45397786e-02  9.30457870e-01  9.54937777e-01  5.78787965e-01\n",
      "  8.58106463e-01  4.59835035e-01  1.08167961e+00  1.22072671e+00\n",
      "  7.20546787e-01  2.71720339e-02  3.35631842e-01  1.31118792e+00\n",
      "  4.32775315e-01  1.98985970e-01  1.14820936e+00  3.80997394e-01\n",
      "  8.19931671e-01  6.60606192e-01  1.08737155e+00  3.17295658e-01\n",
      "  3.10416775e-01  5.60779728e-01 -9.64790344e-01  5.58089278e-01\n",
      "  1.35561841e+00  3.73777236e-01  6.96637427e-02  2.51742580e-01\n",
      "  8.41574086e-01  6.03723548e-01  1.51189177e+00  3.72869819e-01\n",
      "  1.13836878e+00  1.71814937e+00  9.12398734e-01  7.25258942e-01\n",
      "  4.10554091e-01  4.83095789e-01  1.23858509e+00  4.79586023e-01\n",
      "  2.07878050e+00 -1.00057887e+00  9.00281051e-01  5.76841987e-01\n",
      " -5.55172217e-02  1.50400993e-01 -1.09118430e-01  5.32035576e-02\n",
      "  4.85407958e-03  6.48937519e-02 -2.61046512e-01 -2.18531215e-01\n",
      " -7.97628060e-01 -4.47165206e-01  1.48518878e-02  1.12590024e-01\n",
      "  2.22986931e+00  4.47603596e-01 -1.86943439e-01  2.26294837e-02\n",
      "  1.23549703e+00  9.11962307e-01  1.61794665e-02 -8.17431875e-02\n",
      "  1.42590800e-13  1.44823103e+00  9.45868494e-01 -7.64567484e-02\n",
      "  1.05057837e-03 -3.88946158e-02 -1.29708337e-01 -6.10086211e-01\n",
      " -1.07967941e-01  2.30052863e-02 -6.30956554e-01  3.25329873e-01\n",
      " -1.96992538e-01 -1.62342387e-01 -5.79712264e-02 -1.58081590e-01\n",
      " -7.62573799e-01  7.07814028e-01  1.54468262e-01 -7.26021793e-03\n",
      "  3.20365091e-01  7.63930951e-01  8.87808067e-02  2.55712675e-01\n",
      "  6.62576649e-02 -1.67856289e-02  8.50919726e-02  4.21888178e-02\n",
      " -9.91666524e-03  2.13148810e-01  6.26720159e-03 -7.41396594e-02\n",
      " -1.22645441e-02  3.16517424e-02 -3.84886483e-01 -8.90651419e-02\n",
      "  1.48929931e-01  5.12432526e-01  3.66651857e-02 -8.16948846e-02\n",
      "  9.00764049e-01  8.63727990e-01 -5.03600737e-01  3.30414519e-01\n",
      " -2.89219740e-01 -3.76365047e-01  3.21370650e-01  1.44438187e-01\n",
      " -1.24137650e-03 -8.46578084e-02  3.08204416e-01  4.87161288e-01\n",
      "  4.93319380e-01  3.56324046e-01  7.10159398e-01  1.89861297e-01\n",
      " -1.05247616e-01 -3.14091149e-01  1.94658148e-01  4.12368054e-01\n",
      "  5.62605899e-01 -1.78582415e-01 -5.36745055e-02  8.59259595e-02\n",
      " -4.38878494e-02 -2.98906906e-01  8.26228902e-02  5.67794995e-01\n",
      "  4.13512961e-01 -1.49213975e-13 -1.81103351e-02  6.08298848e-01\n",
      "  1.80610271e-01  9.04708819e-01  2.17505072e-01  4.72873635e-01\n",
      " -4.62780625e-01 -1.73230957e-01  2.43522442e-01 -1.05831827e-01\n",
      " -2.03269814e-01  6.16658196e-01  5.43481175e-01 -2.78783223e-01\n",
      " -1.96998431e-02  2.16579345e-01  4.97334140e-02 -2.43464237e-01\n",
      "  2.15764199e-01  6.02260452e-02 -1.45822856e-01  1.26410807e+00\n",
      "  5.99458042e-01  1.27939017e-01  1.75890145e-02  5.25181562e-01\n",
      "  6.13095167e-01  1.11268207e+00  3.25849066e-01  2.49922386e-02\n",
      "  3.08530735e-01 -4.80712164e-02 -1.50702667e-03  6.41708908e-14\n",
      "  3.63212304e-02  1.21457905e+00  1.17707246e+00 -8.16752463e-02\n",
      " -1.92277678e-01 -3.63543457e-01 -1.66270891e+00  3.74880768e-01\n",
      " -1.86635697e+00 -3.51940699e-14 -6.71151136e-01 -2.88487376e-01\n",
      " -3.40854080e-01 -8.78270560e-02  1.01472577e+01  1.20633318e+00\n",
      "  6.17801489e+00  1.23250254e+00 -2.13907863e+00  5.42010682e+00\n",
      "  2.55351296e-15  5.14310816e-14  2.61727564e-02  2.90093708e-02\n",
      " -2.65978005e-01 -1.62328393e-02 -2.76868954e+00  4.43808387e-01\n",
      "  4.07579005e+00  3.71571277e-01  1.87685591e-01 -2.70336422e-01\n",
      " -1.66349114e-01 -1.62575332e+00 -1.56635532e+00  4.38809085e-01\n",
      "  1.46511640e+00  6.72270513e-01  4.06402943e-01  3.60128416e-01\n",
      " -3.82963149e-01  4.19238887e-01 -3.56184589e-02  6.09556064e-02\n",
      " -3.15218483e-01 -1.04310337e+00  1.96921706e+00  2.04404261e+00\n",
      " -3.66900392e-01  2.05906752e-01  4.97269049e-02  2.47232900e-03\n",
      " -5.17425140e-02  3.08731654e-02  5.18130796e-02 -2.11005941e-01\n",
      " -1.57866216e-01  4.80520657e-02  7.58316993e-01  1.15436710e-01\n",
      "  8.48803692e-01  8.86409509e-03 -1.39063136e-01 -1.02124918e+00\n",
      "  2.02972123e-01 -7.17809710e-01 -4.94837368e-01  1.35019027e+00\n",
      "  2.26727904e-01  1.08306744e+00 -3.36915843e-01  1.27955776e-01\n",
      " -1.45358281e-02 -3.17708122e-01  6.98951948e-02 -2.13285950e-01\n",
      " -2.17587717e-01  5.77315973e-15  1.87998378e-01 -1.19793486e+00\n",
      " -9.71967527e-02 -1.08340780e+00 -1.47518702e-01  1.08230752e-01\n",
      " -1.53196337e-01 -2.72589007e+00  8.94813027e-01  1.41204736e-01\n",
      " -7.80109608e-03  2.34891496e+00 -6.93551553e-01 -3.16242872e-01\n",
      "  3.85814585e-01 -1.10084642e+00 -4.73981365e-01  1.23044243e-01\n",
      "  6.15453585e-01  1.71424473e+00  6.73685023e-01 -3.29088815e-01\n",
      "  2.97061376e-01 -6.17247158e-02  1.89142092e-01  1.33070411e-01\n",
      "  2.14258627e-01 -8.40654335e-02  7.06380485e-02  2.65254758e-01\n",
      " -2.38773268e-01  2.06951544e+00  7.45033772e-01 -4.76121189e-02\n",
      "  1.69769880e-01  4.26339741e-01 -5.95141815e-01  2.53072927e-02\n",
      "  2.55338811e-02  2.76938281e-02 -2.04392849e-01 -1.29874763e+00\n",
      " -9.27798488e-02  6.66018243e-02 -3.63642358e-02  6.94507700e-01\n",
      "  8.50466170e-02  4.49607086e-02  3.36955468e+00  7.51826926e-02\n",
      "  1.57334595e+00 -2.00901666e-02  7.18730025e-01  1.48079616e-01\n",
      "  1.59856249e-01  5.93205452e-01 -1.14081045e+00  1.87023175e+00\n",
      "  7.06629905e-02 -1.40269524e-01 -1.03566119e-01 -2.10942375e-15\n",
      " -3.65674774e-01  4.30328662e-01  1.40443213e-14 -1.30747459e+00\n",
      " -2.85619486e-01 -1.23234756e-14 -3.54065940e-01 -3.40210431e+00\n",
      "  1.09550182e+00 -4.95234030e-02  1.06841339e-02  1.95739590e-01\n",
      "  1.05334078e-01 -1.65868751e-02 -6.19024426e-02 -1.14849958e-01\n",
      "  1.58175356e+00 -6.34980224e-02  2.65098328e-01  8.47601408e-01\n",
      "  3.31578359e-01 -6.38504231e-01  1.04039400e+00  3.72917007e-01\n",
      " -3.00403438e-01 -7.83398712e-01  1.03007640e-01 -2.43552877e-01\n",
      "  3.98057817e-01 -3.32047326e-02 -5.91952350e+00  2.62378674e+00\n",
      "  1.71879162e-01  2.42182877e-02 -1.58857390e-01 -5.94598069e-01\n",
      " -6.18691711e-01 -1.40634562e-01 -1.15541430e+01  8.72673766e-02\n",
      "  9.24801334e-01  4.59304667e-02  1.76138981e-02  8.83163639e-02\n",
      "  1.56258261e-02 -4.79766443e-01 -7.35454729e-01 -2.59792086e-01\n",
      "  2.57229387e-03 -1.61754228e+00 -4.44089210e-16  5.66417089e+00\n",
      "  3.38610508e-01  7.16443593e-01  1.78726220e+00 -1.20242845e+00\n",
      "  4.88039691e-01 -1.73473732e-01  1.46601893e-01 -2.15215199e+00\n",
      " -4.54938957e-01 -2.11717360e+00  5.54513998e-01  6.92862090e-01\n",
      " -1.41552642e+00  2.04039578e-01 -1.38337689e+00  1.20957204e+00\n",
      " -1.33363831e+00 -2.96297423e-01  1.68515935e+00  1.19873267e-01\n",
      " -1.00240929e+00 -4.28836043e+00 -4.56777099e-01  3.69353223e-01\n",
      " -2.44548608e-01  7.14534452e-01  8.78329594e-01 -1.36808757e+00\n",
      "  1.01057439e-02  3.92048402e-01 -4.46810549e-01 -4.74922735e+00\n",
      " -5.67607667e-02 -7.85981725e-02  1.20241674e-01  1.20447519e+00\n",
      " -7.55351381e-01 -4.78529976e+00  5.22095623e-01  3.95001623e-01\n",
      " -3.79758469e-01  1.03001946e+00  4.72183226e-01  1.92421708e+00\n",
      "  3.59384445e-01  6.01627271e-01  1.60396676e+00  5.85711073e-01\n",
      " -1.59610160e-01 -9.32394975e-01 -1.81368142e+00 -1.03055177e-02\n",
      "  1.69323045e-01 -3.66509204e+00  4.44089210e-16  5.59317408e-01\n",
      "  2.11139256e+00 -4.85869248e-02 -7.76340046e-01 -6.08817229e-01\n",
      " -2.89363945e-01 -4.86640993e-01  1.12350510e-01  3.00335462e-01\n",
      " -2.41092468e-01 -1.08663484e+00  6.56687373e-01  2.01402615e-01\n",
      " -6.81870741e-01 -4.35987620e-02 -2.18563433e-01 -3.45567828e-02\n",
      " -3.91410389e+00  5.31231054e-01 -8.83358380e-01 -2.03412191e-01\n",
      " -2.97995858e-01 -1.47671018e-01 -1.56221903e+00  1.18309338e+00\n",
      " -1.36540735e+00 -5.36340006e-01 -7.03054568e-02 -2.53748648e+00\n",
      " -4.48024862e-01  2.36479027e+00  5.45159280e-01  4.28100126e+00\n",
      "  1.99416412e+00  2.21816471e-01  9.43970359e-03 -6.93880243e-01\n",
      "  5.49586762e+00]\n"
     ]
    }
   ],
   "source": [
    "print(lm.coef_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['WAP001', 'WAP002', 'WAP005', 'WAP006', 'WAP007', 'WAP008', 'WAP009',\n",
       "       'WAP010', 'WAP011', 'WAP012',\n",
       "       ...\n",
       "       'WAP510', 'WAP511', 'WAP512', 'WAP513', 'WAP514', 'WAP515', 'WAP516',\n",
       "       'WAP517', 'WAP518', 'WAP519'],\n",
       "      dtype='object', length=465)"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_train.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "predict_lm = lm.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.metrics import mean_squared_error, r2_score\n",
    "from math import sqrt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mean Squared Error is:  770.9789880470639\n"
     ]
    }
   ],
   "source": [
    "print('Mean Squared Error is: ',mean_squared_error(y_test,predict_lm))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Calculate and Print RMSE"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Root Mean Squared Error is:  27.766508387751312\n"
     ]
    }
   ],
   "source": [
    "error = sqrt(mean_squared_error(y_test,predict_lm)) #Calculate RMSE\n",
    "print('Root Mean Squared Error is: ',error)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Calculate and Print R-Squared"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "R-Squared is:  0.94943032115797\n"
     ]
    }
   ],
   "source": [
    "print('R-Squared is: ',r2_score(y_test,predict_lm))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Linear Regression for Predicting Longitude"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [],
   "source": [
    "X = train_one\n",
    "y = train_df2['LONGITUDE']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.30)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "LinearRegression(copy_X=True, fit_intercept=True, n_jobs=None,\n",
       "         normalize=False)"
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lm.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [],
   "source": [
    "predict_lm_long= lm.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Root Mean Squared Error is:  173.8446552639948\n"
     ]
    }
   ],
   "source": [
    "error = sqrt(mean_squared_error(y_test,predict_lm)) #Calculate RMSE\n",
    "print('Root Mean Squared Error is: ',error)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "R-Squared is:  0.9501952056536878\n"
     ]
    }
   ],
   "source": [
    "print('R-Squared is: ',r2_score(y_test,predict_lm_long))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Random Forest Model for Predicting Building + Floor ID"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.ensemble import RandomForestClassifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [],
   "source": [
    "rfc = RandomForestClassifier()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "prediction = rfc.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "prediction"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.metrics import confusion_matrix, classification_report"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "print(confusion_matrix(y_test, prediction))\n",
    "print('\\n')\n",
    "print(classification_report(y_test,prediction))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Logistic Regression for Predicting Building + Floor ID"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.linear_model import LogisticRegression"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "lrc = LogisticRegression()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "lrc.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "predict_log = lrc.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "print(confusion_matrix(y_test, predict_log))\n",
    "print('/n')\n",
    "print(classification_report(y_test, predict_log))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## SVM  Model for Predicting Building + Floor ID"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.svm import SVC"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "svc = SVC(gamma='scale', C=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "svc.fit(X_train,y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "start_time = time.time()\n",
    "\n",
    "predict_svc = svc.predict(X_test)\n",
    "\n",
    "elapsed_time = time.time() - start_time\n",
    "print(elapsed_time)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "print(confusion_matrix(y_test, predict_svc))\n",
    "print('/n')\n",
    "print(classification_report(y_test, predict_svc))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "validate = pd.read_csv('validationData.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "my_list2 = []\n",
    "for i, rows in validate.iterrows():\n",
    "        if rows['BUILDINGID']==0.0:\n",
    "            my_list2.append(\"A\")\n",
    "        elif rows['BUILDINGID']==1.0:\n",
    "            my_list2.append(\"B\")\n",
    "        elif rows['BUILDINGID']==2.0:\n",
    "            my_list2.append(\"C\")\n",
    "        elif rows['BUILDINGID']==3.0:\n",
    "            my_list2.append(\"D\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "building_label2 = pd.DataFrame(my_list2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "validate['building_label'] = building_label2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "validate.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "validate2 = validate[train_df.columns[train_df.sum() !=111100]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Replace 100(no signal) with -105 so data can be within range \n",
    "validate.replace(100, -105, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "validate.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "WAP_validate = validate.iloc[:,:-10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "my_location2 = []\n",
    "for i, rows in validate.iterrows():\n",
    "    my_location2.append(rows['building_label']+str(rows['FLOOR']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "validate['person_location']= pd.DataFrame(my_location2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "validate.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Test PCA Preprocessing "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.preprocessing import StandardScaler"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "scaler = StandardScaler()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Seperating out features\n",
    "x = train_df2.iloc[:,:-8].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "scaler.fit(x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "scaled_data = scaler.transform(x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Seperating out targets\n",
    "y = train_df2.loc[:,:'person_location'].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "scaled_data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train, X_test, y_train, y_test = train_test_split(x_pca, y, test_size=0.33, random_state=42)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.decomposition import PCA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "pca = PCA(.95)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "pca.fit(scaled_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "scaled_data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "x_pca = pca.transform(scaled_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "x_pca.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.figure(figsize=(8,6))\n",
    "plt.scatter(x_pca[:,0],x_pca[:,1])\n",
    "plt.xlabel('First Principal Component')\n",
    "plt.ylabel('Second Principal Component')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Run model on PCA transformed data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "rfc_pca = RandomForestClassifier()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "y_train.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "rfc_pca.fit(x_pca, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "pca_predict = rfc_pca.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "pca_predict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "print(confusion_matrix(y_test, pca_predict))\n",
    "print('\\n')\n",
    "print(classification_report(y_test,pca_predict))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "colz = train_df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "finalDF = pd.concat([principalDf, train_df2[['person_location']]], axis=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## KNN Regression for predicting Latitude"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [],
   "source": [
    "X = train_one\n",
    "y = train_df2['LATITUDE']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.30)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Tobi\\Anaconda2\\lib\\site-packages\\sklearn\\preprocessing\\data.py:334: DataConversionWarning:\n",
      "\n",
      "Data with input dtype int64 were all converted to float64 by MinMaxScaler.\n",
      "\n",
      "C:\\Users\\Tobi\\Anaconda2\\lib\\site-packages\\sklearn\\preprocessing\\data.py:334: DataConversionWarning:\n",
      "\n",
      "Data with input dtype int64 were all converted to float64 by MinMaxScaler.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "#Preprocessing – Scaling the features\n",
    "from sklearn.preprocessing import MinMaxScaler\n",
    "scaler = MinMaxScaler(feature_range=(0, 1))\n",
    "\n",
    "x_train_scaled = scaler.fit_transform(X_train)\n",
    "X_train = pd.DataFrame(x_train_scaled)\n",
    "\n",
    "x_test_scaled = scaler.fit_transform(X_test)\n",
    "X_test = pd.DataFrame(x_test_scaled)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn import neighbors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RMSE value for k=  1 is: 8.078798954436387\n",
      "RMSE value for k=  2 is: 8.124878644886778\n",
      "RMSE value for k=  3 is: 7.459751425441518\n",
      "RMSE value for k=  4 is: 7.429164889506683\n",
      "RMSE value for k=  5 is: 7.883691227114788\n",
      "RMSE value for k=  6 is: 7.805173313914277\n",
      "RMSE value for k=  7 is: 7.913783529043047\n",
      "RMSE value for k=  8 is: 7.912746566357253\n",
      "RMSE value for k=  9 is: 7.974063281582966\n",
      "RMSE value for k=  10 is: 8.18369508818843\n",
      "RMSE value for k=  11 is: 8.385447683256047\n",
      "RMSE value for k=  12 is: 8.437278744702006\n",
      "RMSE value for k=  13 is: 8.503756679396876\n",
      "RMSE value for k=  14 is: 8.746250603481847\n",
      "RMSE value for k=  15 is: 8.795873356288451\n",
      "RMSE value for k=  16 is: 9.009803645734229\n",
      "RMSE value for k=  17 is: 8.951941195363046\n",
      "RMSE value for k=  18 is: 9.102825536993922\n",
      "RMSE value for k=  19 is: 9.235673161938008\n",
      "RMSE value for k=  20 is: 9.22488867349886\n"
     ]
    }
   ],
   "source": [
    "rmse_val = [] #to store rmse values for different k\n",
    "for K in range(20):\n",
    "    K = K+1\n",
    "    model = neighbors.KNeighborsRegressor(n_neighbors = K)\n",
    "\n",
    "    model.fit(X_train, y_train)  #fit the model\n",
    "    pred=model.predict(X_test) #make prediction on test set\n",
    "    error = sqrt(mean_squared_error(y_test,pred)) #calculate rmse\n",
    "    rmse_val.append(error) #store rmse values\n",
    "    print('RMSE value for k= ' , K , 'is:', error)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "model = neighbors.KNeighborsRegressor(n_neighbors = 5)\n",
    "model.fit(X_train, y_train)  #fit the model\n",
    "pred=model.predict(X_test) #make prediction on test set\n",
    "error = sqrt(mean_squared_error(y_test,pred)) #calculate rmse\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "print(pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "print(\"RMSE: \",error)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1b111056358>"
      ]
     },
     "execution_count": 94,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#plotting the rmse values against k values\n",
    "curve = pd.DataFrame(rmse_val) #elbow curve \n",
    "curve.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.metrics import cohen_kappa_score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "cohen_kappa_score(pred, y_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Run GridSearch to get the best value of K"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "##from sklearn.model_selection import GridSearchCV\n",
    "#params = {'n_neighbors':[2,3,4,5,6,7,8,9]}\n",
    "\n",
    "#knn = neighbors.KNeighborsRegressor()\n",
    "\n",
    "#model = GridSearchCV(knn, params, cv=5)\n",
    "#model.fit(X_train,y_train)\n",
    "#model.best_params_"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## KNN Regression for Predicting Longitude"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "X = train_one\n",
    "y = train_df2['LONGITUDE']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.30)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "model2 = neighbors.KNeighborsRegressor(n_neighbors = 5)\n",
    "model2.fit(X_train, y_train)  #fit the model\n",
    "pred2=model2.predict(X_test) #make prediction on test set\n",
    "error = sqrt(mean_squared_error(y_test,pred2)) #calculate rmse\n",
    "#rmse_val.append(error) #store rmse values\n",
    "   \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "print('RMSE value for k= ' , 5 , 'is:', error)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "print('R-Squared is: ',r2_score(y_test,pred2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "pred"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "plt.plot(pred2, pred, 'go')"
   ]
  }
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