2x2 Analysis.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import os\n",
    "import glob\n",
    "\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "\n",
    "directory = 'D:/OneDrive/EM-AnxDep/Data/'\n",
    "cond = '2x2'\n",
    "\n",
    "nameList = []\n",
    "fileList = os.listdir(directory + cond)\n",
    "#pathList = glob.glob('E:/Py/EGC Mood/' + block + '/' + cond + '/*.txt') #Use if separating by block\n",
    "pathList = glob.glob(directory + cond + '/*.txt') #Use if block irrelevant\n",
    "\n",
    "for f in fileList:\n",
    "    name = f[:3]\n",
    "    nameList.append(name)\n",
    "    \n",
    "df_2x2 = {}\n",
    "for k, v in zip(nameList,pathList):\n",
    "    df_2x2[k] = pd.read_csv(v, sep='\\t', header=0, index_col=0, skipfooter=1, engine='python')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Image types/numbers\n",
    "\n",
    "# Anxiety (F, T)\n",
    "A_Imgs = ['001', '002', '003', '004', '007', '008', '009', '010']\n",
    "# Depressive (0, N)\n",
    "D_Imgs = ['013', '014', '015', '016', '019', '020', '021', '022']\n",
    "# Positive/Neutral\n",
    "N_Imgs = ['025', '026', '027', '028', '029', '030', '031', '032']\n",
    "\n",
    "# Participant groups:\n",
    "\n",
    "### GROUP 1 (Prelim) ###\n",
    "#HighA = [8, 9, 11, 13, 16, 31, 36, 37, 39, 41, 49, 53, 58, 59] #N=14\n",
    "#LowA = [1, 5, 7, 10, 14, 15, 17, 18, 19, 23, 24, 25, 26, 27, 28, 32, 45, 48, 50, 52, 61] #N=21\n",
    "#HighD = [11, 13, 16, 36, 41, 43, 53, 58] #N=8\n",
    "#LowD = [1, 10, 17, 18, 21, 23, 24, 25, 26, 28, 34, 39, 44, 51, 52, 57, 59, 61, 64] #N=19\n",
    "\n",
    "### GROUP 2 (Extreme scores) ###\n",
    "HighA = [9, 13, 16, 36, 37, 39, 41, 49, 53, 58]\n",
    "LowA = [1, 5, 7, 10, 14, 18, 19, 23, 28, 32, 45, 48, 50, 52, 61] \n",
    "HighD = [36, 39, 41, 43, 53, 58]\n",
    "LowD = [2, 10, 18, 21, 24, 25, 28, 34, 48, 51, 52, 57, 59, 61, 64]\n",
    "\n",
    "### GROUP 3 (Extreme High vs all others) ###\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Anxiety"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 221,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Rename columns for all Anxiety Images\n",
    "for f in A_Imgs:\n",
    "    df_2x2[f].columns = ['TFD_0_1','TFD_0_2','TFD_F','TFD_T','FC_0_1','FC_0_2','FC_F','FC_T','TVD_0_1','TVD_0_2','TVD_F','TVD_T','VC_0_1','VC_0_2','VC_F','VC_T']\n",
    "\n",
    "# Convert subframes for separate stimuli into one large dataframe\n",
    "frames = [df_2x2['001'],df_2x2['002'],df_2x2['003'],df_2x2['004'],df_2x2['007'],df_2x2['008'],df_2x2['009'],df_2x2['010']]\n",
    "df_A = pd.concat(frames, keys=A_Imgs)\n",
    "# Convert stimulus (Img) index into a column, keep participant IDs as index (for easy selection)\n",
    "df_A.index.names = ['Img','P']\n",
    "df_A = df_A.reset_index(level='Img')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 222,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Average multiples (neutral imgs)\n",
    "df_A['TFD_0'] = (df_A['TFD_0_1']+df_A['TFD_0_2'])/2\n",
    "df_A['FC_0'] = (df_A['FC_0_1']+df_A['FC_0_2'])/2\n",
    "df_A['TVD_0'] = (df_A['TVD_0_1']+df_A['TVD_0_2'])/2\n",
    "df_A['VC_0'] = (df_A['VC_0_1']+df_A['VC_0_2'])/2\n",
    "# Drop old (not necessary)\n",
    "#df_A.drop(['TFD_0_1','TFD_0_2','FC_0_1','FC_0_2','TVD_0_1','TVD_0_2','VC_0_1','VC_0_2'], axis=1)\n",
    "\n",
    "HighA_TFD = df_A.loc[HighA,['TFD_F','TFD_T','TFD_0']]\n",
    "HighA_FC = df_A.loc[HighA, ['FC_F','FC_T','FC_0']]\n",
    "LowA_TFD = df_A.loc[LowA, ['TFD_F','TFD_T','TFD_0']]\n",
    "LowA_FC = df_A.loc[LowA, ['FC_F','FC_T','FC_0']]\n",
    "HighA_TVD = df_A.loc[HighA,['TVD_F','TVD_T','TVD_0']]\n",
    "HighA_VC = df_A.loc[HighA, ['VC_F','VC_T','VC_0']]\n",
    "LowA_TVD = df_A.loc[LowA, ['TVD_F','TVD_T','TVD_0']]\n",
    "LowA_VC = df_A.loc[LowA, ['VC_F','VC_T','VC_0']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 258,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Create melted df for plotting\n",
    "_HighA_TFD = HighA_TFD.melt(var_name='Stimulus',value_name='TFD')\n",
    "_HighA_TFD['Group'] = \"High\"\n",
    "_LowA_TFD = LowA_TFD.melt(var_name='Stimulus',value_name='TFD')\n",
    "_LowA_TFD['Group'] = 'Low'\n",
    "A_TFD = pd.concat([_HighA_TFD, _LowA_TFD])\n",
    "\n",
    "_HighA_FC = HighA_FC.melt(var_name='Stimulus',value_name='Fix Count')\n",
    "#_HighA_FC['Group'] = \"High\"\n",
    "_LowA_FC = LowA_FC.melt(var_name='Stimulus',value_name='Fix Count')\n",
    "#_LowA_FC['Group'] = 'Low'\n",
    "A_FC = pd.concat([_HighA_FC, _LowA_FC])\n",
    "\n",
    "_HighA_TVD = HighA_TVD.melt(var_name='Stimulus',value_name='TVD')\n",
    "#_HighA_TVD['Group'] = \"High\"\n",
    "_LowA_TVD = LowA_TVD.melt(var_name='Stimulus',value_name='TVD')\n",
    "#_LowA_TVD['Group'] = 'Low'\n",
    "A_TVD = pd.concat([_HighA_TVD, _LowA_TVD])\n",
    "\n",
    "_HighA_VC = HighA_VC.melt(var_name='Stimulus',value_name='Visit Count')\n",
    "#_HighA_VC['Group'] = \"High\"\n",
    "_LowA_VC = LowA_VC.melt(var_name='Stimulus',value_name='Visit Count')\n",
    "#_LowA_VC['Group'] = 'Low'\n",
    "A_VC = pd.concat([_HighA_VC, _LowA_VC])\n",
    "\n",
    "A_EM = pd.concat([A_TFD,A_FC,A_TVD,A_VC], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 261,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Stimulus</th>\n",
       "      <th>TFD</th>\n",
       "      <th>Group</th>\n",
       "      <th>Stimulus</th>\n",
       "      <th>Fix Count</th>\n",
       "      <th>Stimulus</th>\n",
       "      <th>TVD</th>\n",
       "      <th>Stimulus</th>\n",
       "      <th>Visit Count</th>\n",
       "      <th>GroupCode</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>TFD_F</td>\n",
       "      <td>1.23</td>\n",
       "      <td>High</td>\n",
       "      <td>FC_F</td>\n",
       "      <td>5.0</td>\n",
       "      <td>TVD_F</td>\n",
       "      <td>1.30</td>\n",
       "      <td>VC_F</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>TFD_F</td>\n",
       "      <td>1.13</td>\n",
       "      <td>High</td>\n",
       "      <td>FC_F</td>\n",
       "      <td>2.0</td>\n",
       "      <td>TVD_F</td>\n",
       "      <td>1.13</td>\n",
       "      <td>VC_F</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>TFD_F</td>\n",
       "      <td>1.40</td>\n",
       "      <td>High</td>\n",
       "      <td>FC_F</td>\n",
       "      <td>5.0</td>\n",
       "      <td>TVD_F</td>\n",
       "      <td>1.45</td>\n",
       "      <td>VC_F</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>TFD_F</td>\n",
       "      <td>1.92</td>\n",
       "      <td>High</td>\n",
       "      <td>FC_F</td>\n",
       "      <td>6.0</td>\n",
       "      <td>TVD_F</td>\n",
       "      <td>2.05</td>\n",
       "      <td>VC_F</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>TFD_F</td>\n",
       "      <td>2.20</td>\n",
       "      <td>High</td>\n",
       "      <td>FC_F</td>\n",
       "      <td>7.0</td>\n",
       "      <td>TVD_F</td>\n",
       "      <td>2.28</td>\n",
       "      <td>VC_F</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Stimulus   TFD Group Stimulus  Fix Count Stimulus   TVD Stimulus  \\\n",
       "0    TFD_F  1.23  High     FC_F        5.0    TVD_F  1.30     VC_F   \n",
       "1    TFD_F  1.13  High     FC_F        2.0    TVD_F  1.13     VC_F   \n",
       "2    TFD_F  1.40  High     FC_F        5.0    TVD_F  1.45     VC_F   \n",
       "3    TFD_F  1.92  High     FC_F        6.0    TVD_F  2.05     VC_F   \n",
       "4    TFD_F  2.20  High     FC_F        7.0    TVD_F  2.28     VC_F   \n",
       "\n",
       "   Visit Count GroupCode  \n",
       "0          2.0         1  \n",
       "1          2.0         1  \n",
       "2          2.0         1  \n",
       "3          1.0         1  \n",
       "4          2.0         1  "
      ]
     },
     "execution_count": 261,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "A_EM.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 265,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "A_EM['GroupCode'] = A_EM['Group'].map(lambda x: \"1\" if \"High\" in x else \"0\" if \"Low\" in x else \"\")\n",
    "A_EM['GroupCode'] = A_EM['GroupCode'].astype(int)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Anxiety: TFD\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x1c304f1b4e0>"
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     "execution_count": 149,
     "metadata": {},
     "output_type": "execute_result"
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    {
     "data": {
      "image/png": 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ataFDh2ro0KENbvvBD34gScrKylJ9fb0+/fRTFRUVyXEcTZ48WT179tSdd94Z+v6bbrpJ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\nRK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1c308317f60>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print('Anxiety: TFD')\n",
    "sns.set(style=\"whitegrid\")\n",
    "_ = sns.factorplot(x='Stimulus', y='TFD', hue='Group', size=6, kind='bar', data=A_TFD)\n",
    "_.despine(left=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 150,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Anxiety: Fix Count\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x1c308174be0>"
      ]
     },
     "execution_count": 150,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x1c308174c50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print('Anxiety: Fix Count')\n",
    "sns.set(style=\"whitegrid\")\n",
    "_ = sns.factorplot(x='Stimulus', y='Fix Count', hue='Group', size=6, kind='bar', data=A_FC)\n",
    "_.despine(left=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 151,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x1c304ed56a0>"
      ]
     },
     "execution_count": 151,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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KS0trtm/t2rXKysrSyJEj3RlWxwnvtddeq2HDhik/P9//824AAHB6WgxvYmKiFi5caDkL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\nhggvAACGCC8AAIb+DyYeU335fEhmAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1c3081c6cf8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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unDp16uRdNmfOHN12220qLS1VZmamAgICVFxcrMmTJ6tDhw7lbispKUkFBQUK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\nBhFeAAAM+n8GAAzNn/AJdAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1c3081eb908>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "sns.set(style=\"whitegrid\")\n",
    "_ = sns.factorplot(x='Stimulus', y='TVD', hue='Group', size=6, kind='bar', data=A_TVD)\n",
    "_.despine(left=True)\n",
    "\n",
    "sns.set(style=\"whitegrid\")\n",
    "_ = sns.factorplot(x='Stimulus', y='Visit Count', hue='Group', size=6, kind='bar', data=A_VC)\n",
    "_.despine(left=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 266,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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PJEku1/w///nP2nvO1/HVq1d73f/rr7+uLfOXv/zF6zJEVyqOGSNqIHbu3Kl1/1C7JTq7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\nK2OD0VUV4aNHM+/MKAhw3H57sjOjbfr0rI0pU8lqWXk5D5EmolHjPDX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w4WtfQ/TUKfj/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tUqwmoVUVkJaJqeDGZczljcGMaIqOAIggDJ44Hk8UBX1eTZZdxfVpj6VNDuvx9Azx60q1eNYHbi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\nIScH5t69wRoMYDkOw+fMwcn//AdH3n4bkt8P0eeTt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1u3bsUll1yC5cuX43vf+56tuzZj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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1c306f9a9b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "fig.set_size_inches(14,14)\n",
    "plt.subplots_adjust(hspace=.2)\n",
    "plt.suptitle('Anxiety - Eye Movement Metrics', fontsize=32)\n",
    "plt.subplot(221)\n",
    "_ = sns.set_style(\"white\")\n",
    "_ = sns.regplot(x='TFD',y='GroupCode',data=A_EM,y_jitter=.03, logistic=True, truncate=True, color='#cc0000')\n",
    "_ = plt.ylabel('Anxiety Level')\n",
    "_ = plt.yticks([0,1],['Low','High'])\n",
    "_ = sns.despine()\n",
    "_ = sns.set_context(\"poster\")\n",
    "\n",
    "plt.subplot(222)\n",
    "_ = sns.set_style(\"white\")\n",
    "_ = sns.regplot(x='Fix Count',y='GroupCode',data=A_EM,y_jitter=.03, logistic=True, truncate=True, color='#0000cc')\n",
    "_ = plt.ylabel('Anxiety Level')\n",
    "_ = plt.yticks([0,1],['Low','High'])\n",
    "_ = sns.despine()\n",
    "_ = sns.set_context(\"poster\")\n",
    "\n",
    "plt.subplot(223)\n",
    "_ = sns.set_style(\"white\")\n",
    "_ = sns.regplot(x='TVD',y='GroupCode',data=A_EM,y_jitter=.03, logistic=True, truncate=True, color='#990000')\n",
    "_ = plt.ylabel('Anxiety Level')\n",
    "_ = plt.yticks([0,1],['Low','High'])\n",
    "_ = sns.despine()\n",
    "_ = sns.set_context(\"poster\")\n",
    "\n",
    "plt.subplot(224)\n",
    "_ = sns.set_style(\"white\")\n",
    "_ = sns.regplot(x='Visit Count',y='GroupCode',data=A_EM,y_jitter=.03, logistic=True, truncate=True, color='#000099')\n",
    "_ = plt.ylabel('Anxiety Level')\n",
    "_ = plt.yticks([0,1],['Low','High'])\n",
    "_ = sns.despine()\n",
    "_ = sns.set_context(\"poster\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Depression"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Rename columns for all Depression Images\n",
    "for f in D_Imgs:\n",
    "    df_2x2[f].columns = ['TFD_0_1','TFD_0_2','TFD_N_1','TFD_N_2','FC_0_1','FC_0_2','FC_N_1','FC_N_2','TVD_0_1','TVD_0_2','TVD_N_1','TVD_N_2','VC_0_1','VC_0_2','VC_N_1','VC_N_2']\n",
    "\n",
    "# Convert subframes for separate stimuli into one large dataframe\n",
    "frames = [df_2x2['013'],df_2x2['014'],df_2x2['015'],df_2x2['016'],df_2x2['019'],df_2x2['020'],df_2x2['021'],df_2x2['022']]\n",
    "df_D = pd.concat(frames, keys=D_Imgs)\n",
    "# Convert stimulus (Img) index into a column, keep participant IDs as index (for easy selection)\n",
    "df_D.index.names = ['Img','P']\n",
    "df_D = df_D.reset_index(level='Img')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Average multiples (neutral imgs)\n",
    "df_D['TFD_0'] = (df_D['TFD_0_1']+df_D['TFD_0_2'])/2\n",
    "df_D['TFD_N'] = (df_D['TFD_N_1']+df_D['TFD_N_2'])/2\n",
    "df_D['FC_0'] = (df_D['FC_0_1']+df_D['FC_0_2'])/2\n",
    "df_D['FC_N'] = (df_D['FC_N_1']+df_D['FC_N_2'])/2\n",
    "df_D['TVD_0'] = (df_D['TVD_0_1']+df_D['TVD_0_2'])/2\n",
    "df_D['TVD_N'] = (df_D['TVD_N_1']+df_D['TVD_N_2'])/2\n",
    "df_D['VC_0'] = (df_D['VC_0_1']+df_D['VC_0_2'])/2\n",
    "df_D['VC_N'] = (df_D['VC_N_1']+df_D['VC_N_2'])/2\n",
    "# Drop old (not necessary)\n",
    "#df_D.drop(['TFD_0_1','TFD_0_2','FC_0_1','FC_0_2','TVD_0_1','TVD_0_2','VC_0_1','VC_0_2'], axis=1)\n",
    "#df_D.drop(['TFD_N_1','TFD_N_2','FC_N_1','FC_N_2','TVD_N_1','TVD_N_2','VC_N_1','VC_N_2'], axis=1)\n",
    "\n",
    "\n",
    "### Consolidate into single dataframe(s) ###\n",
    "HighD_TFD = df_D.loc[HighD,['TFD_N','TFD_0']]\n",
    "HighD_FC = df_D.loc[HighD, ['FC_N','FC_0']]\n",
    "LowD_TFD = df_D.loc[LowD, ['TFD_N','TFD_0']]\n",
    "LowD_FC = df_D.loc[LowD, ['FC_N','FC_0']]\n",
    "HighD_TVD = df_D.loc[HighD,['TVD_N','TVD_0']]\n",
    "HighD_VC = df_D.loc[HighD, ['VC_N','VC_0']]\n",
    "LowD_TVD = df_D.loc[LowD, ['TVD_N','TVD_0']]\n",
    "LowD_VC = df_D.loc[LowD, ['VC_N','VC_0']]\n",
    "HighD_All = df_D.loc[HighD,['TFD_N','TFD_0','FC_N','FC_0','TVD_N','TVD_0','VC_N','VC_0']]\n",
    "HighD_All['Group'] = 'High'\n",
    "LowD_All = df_D.loc[LowD,['TFD_N','TFD_0','FC_N','FC_0','TVD_N','TVD_0','VC_N','VC_0']]\n",
    "LowD_All['Group'] = 'Low'\n",
    "D_Both = pd.concat([HighD_All,LowD_All])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 256,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "D_EM['GroupCode'] = D_EM['Group'].map(lambda x: \"1\" if \"High\" in x else \"0\" if \"Low\" in x else \"\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "D_Both.to_csv('2x2_Dep.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Create melted df for plotting and analysis\n",
    "_HighD_TFD = HighD_TFD.melt(var_name='Stimulus',value_name='TFD')\n",
    "_HighD_TFD['Group'] = 'High'\n",
    "_LowD_TFD = LowD_TFD.melt(var_name='Stimulus',value_name='TFD')\n",
    "_LowD_TFD['Group'] = 'Low'\n",
    "D_TFD = pd.concat([_HighD_TFD, _LowD_TFD])\n",
    "\n",
    "_HighD_FC = HighD_FC.melt(var_name='Stimulus',value_name='Fix Count')\n",
    "#_HighD_FC['Group'] = \"High\"\n",
    "_LowD_FC = LowD_FC.melt(var_name='Stimulus',value_name='Fix Count')\n",
    "#_LowD_FC['Group'] = 'Low'\n",
    "D_FC = pd.concat([_HighD_FC, _LowD_FC])\n",
    "\n",
    "_HighD_TVD = HighD_TVD.melt(var_name='Stimulus',value_name='TVD')\n",
    "#_HighD_TVD['Group'] = \"High\"\n",
    "_LowD_TVD = LowD_TVD.melt(var_name='Stimulus',value_name='TVD')\n",
    "#_LowD_TVD['Group'] = 'Low'\n",
    "D_TVD = pd.concat([_HighD_TVD, _LowD_TVD])\n",
    "\n",
    "_HighD_VC = HighD_VC.melt(var_name='Stimulus',value_name='Visit Count')\n",
    "#_HighD_VC['Group'] = \"High\"\n",
    "_LowD_VC = LowD_VC.melt(var_name='Stimulus',value_name='Visit Count')\n",
    "#_LowD_VC['Group'] = 'Low'\n",
    "D_VC = pd.concat([_HighD_VC, _LowD_VC])\n",
    "\n",
    "D_EM = pd.concat([D_TFD,D_FC,D_TVD,D_VC], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x2613d567898>"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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AGEJ0AQAwhOgCAGAI0QUAwBCiCwCAIUQXAABDiC4AAIYQXQAADCG6AAAYQnQB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\n1wAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x2613d9acd30>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set(style=\"whitegrid\")\n",
    "_ = sns.factorplot(x='Stimulus', y='Duration', hue='Group', size=6, kind='bar', data=D_TFD)\n",
    "_.despine(left=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x2613d4a7b70>"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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okAYMGKAOHTooNjZWjuPI5XI1+cEK1dXVmjFjhuLi4gI2LAAALYFf8X3mmWeavXB+fr6G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\nGfEFAMAy4gsAgGXEFwAAy4gvAACW/R8acIMTQBShjQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x2613db09c50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "_HighD_FC = HighD_FC.melt(var_name='Stimulus',value_name='Duration')\n",
    "_HighD_FC['Group'] = 'High'\n",
    "_LowD_FC = LowD_FC.melt(var_name='Stimulus',value_name='Duration')\n",
    "_LowD_FC['Group'] = 'Low'\n",
    "D_FC = pd.concat([_HighD_FC, _LowD_FC])\n",
    "\n",
    "sns.set(style=\"whitegrid\")\n",
    "_ = sns.factorplot(x='Stimulus', y='Duration', hue='Group', size=6, kind='bar', data=D_FC)\n",
    "_.despine(left=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x2613da39ef0>"
      ]
     },
     "execution_count": 96,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x2613ebd2ba8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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v4RJUAAD8nxkzZtj+HA2e8b766qsXbHv++edtGQYAgJau3jPeZ599Vv/5z39UVFSkr776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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x2613eb8fd68>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set(style=\"whitegrid\")\n",
    "_ = sns.factorplot(x='Stimulus', y='Duration', hue='Group', size=6, kind='bar', data=D_TVD)\n",
    "_.despine(left=True)\n",
    "\n",
    "sns.set(style=\"whitegrid\")\n",
    "_ = sns.factorplot(x='Stimulus', y='Visit Count', hue='Group', size=6, kind='bar', data=D_VC)\n",
    "_.despine(left=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### ANOVA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import statsmodels.api as sm\n",
    "from pandas.core import datetools\n",
    "\n",
    "data = "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.metrics import accuracy_score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.60833333333333328"
      ]
     },
     "execution_count": 97,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## Anxiety\n",
    "\n",
    "X = A_EM[['TFD','TVD','Fix Count','Visit Count']]\n",
    "y = A_EM['Group']\n",
    "lr = LogisticRegression()\n",
    "lr.fit(X,y)\n",
    "preds = lr.predict(X)\n",
    "\n",
    "accuracy_score(y,preds)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>TFD</th>\n",
       "      <th>TVD</th>\n",
       "      <th>Fix Count</th>\n",
       "      <th>Visit Count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.635</td>\n",
       "      <td>1.385</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.425</td>\n",
       "      <td>1.090</td>\n",
       "      <td>2.5</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1.035</td>\n",
       "      <td>1.265</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1.480</td>\n",
       "      <td>1.790</td>\n",
       "      <td>6.5</td>\n",
       "      <td>1.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.150</td>\n",
       "      <td>0.165</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1.005</td>\n",
       "      <td>1.400</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1.565</td>\n",
       "      <td>1.800</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2.050</td>\n",
       "      <td>2.120</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2.065</td>\n",
       "      <td>2.205</td>\n",
       "      <td>7.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2.295</td>\n",
       "      <td>2.815</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>1.540</td>\n",
       "      <td>2.030</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>0.940</td>\n",
       "      <td>1.380</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>1.730</td>\n",
       "      <td>1.855</td>\n",
       "      <td>6.5</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2.190</td>\n",
       "      <td>2.250</td>\n",
       "      <td>7.0</td>\n",
       "      <td>4.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>1.700</td>\n",
       "      <td>2.610</td>\n",
       "      <td>8.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>0.765</td>\n",
       "      <td>0.815</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2.500</td>\n",
       "      <td>2.840</td>\n",
       "      <td>11.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2.860</td>\n",
       "      <td>3.315</td>\n",
       "      <td>10.5</td>\n",
       "      <td>2.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2.655</td>\n",
       "      <td>2.985</td>\n",
       "      <td>8.0</td>\n",
       "      <td>2.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>1.690</td>\n",
       "      <td>1.875</td>\n",
       "      <td>5.5</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>2.640</td>\n",
       "      <td>3.145</td>\n",
       "      <td>10.5</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>2.270</td>\n",
       "      <td>2.740</td>\n",
       "      <td>9.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>1.550</td>\n",
       "      <td>1.845</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>1.575</td>\n",
       "      <td>1.895</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>2.515</td>\n",
       "      <td>2.605</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>3.530</td>\n",
       "      <td>3.615</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>2.725</td>\n",
       "      <td>2.890</td>\n",
       "      <td>9.5</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>0.620</td>\n",
       "      <td>0.870</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>1.155</td>\n",
       "      <td>1.350</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>1.665</td>\n",
       "      <td>2.010</td>\n",
       "      <td>7.0</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>210</th>\n",
       "      <td>0.805</td>\n",
       "      <td>1.230</td>\n",
       "      <td>4.5</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>211</th>\n",
       "      <td>1.075</td>\n",
       "      <td>1.650</td>\n",
       "      <td>7.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>212</th>\n",
       "      <td>1.555</td>\n",
       "      <td>2.390</td>\n",
       "      <td>9.5</td>\n",
       "      <td>1.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213</th>\n",
       "      <td>1.340</td>\n",
       "      <td>1.470</td>\n",
       "      <td>7.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>214</th>\n",
       "      <td>0.535</td>\n",
       "      <td>0.925</td>\n",
       "      <td>4.5</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>215</th>\n",
       "      <td>0.800</td>\n",
       "      <td>1.145</td>\n",
       "      <td>6.5</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>216</th>\n",
       "      <td>2.295</td>\n",
       "      <td>2.375</td>\n",
       "      <td>6.5</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>217</th>\n",
       "      <td>0.825</td>\n",
       "      <td>0.865</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>218</th>\n",
       "      <td>2.340</td>\n",
       "      <td>2.490</td>\n",
       "      <td>6.5</td>\n",
       "      <td>2.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>219</th>\n",
       "      <td>1.490</td>\n",
       "      <td>1.580</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>220</th>\n",
       "      <td>1.530</td>\n",
       "      <td>1.645</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>221</th>\n",
       "      <td>1.855</td>\n",
       "      <td>1.950</td>\n",
       "      <td>7.0</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>222</th>\n",
       "      <td>0.875</td>\n",
       "      <td>0.895</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>223</th>\n",
       "      <td>1.965</td>\n",
       "      <td>2.105</td>\n",
       "      <td>9.0</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>224</th>\n",
       "      <td>1.870</td>\n",
       "      <td>2.000</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>225</th>\n",
       "      <td>1.615</td>\n",
       "      <td>1.665</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>226</th>\n",
       "      <td>1.625</td>\n",
       "      <td>1.790</td>\n",
       "      <td>8.5</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227</th>\n",
       "      <td>0.985</td>\n",
       "      <td>1.075</td>\n",
       "      <td>4.5</td>\n",
       "      <td>1.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>228</th>\n",
       "      <td>1.530</td>\n",
       "      <td>1.625</td>\n",
       "      <td>4.5</td>\n",
       "      <td>1.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>229</th>\n",
       "      <td>1.985</td>\n",
       "      <td>2.085</td>\n",
       "      <td>4.5</td>\n",
       "      <td>1.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>230</th>\n",
       "      <td>0.725</td>\n",
       "      <td>0.830</td>\n",
       "      <td>4.5</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>231</th>\n",
       "      <td>1.370</td>\n",
       "      <td>1.620</td>\n",
       "      <td>6.5</td>\n",
       "      <td>1.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>232</th>\n",
       "      <td>1.735</td>\n",
       "      <td>1.825</td>\n",
       "      <td>6.5</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>233</th>\n",
       "      <td>1.915</td>\n",
       "      <td>2.040</td>\n",
       "      <td>7.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>234</th>\n",
       "      <td>2.005</td>\n",
       "      <td>2.125</td>\n",
       "      <td>7.0</td>\n",
       "      <td>2.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>235</th>\n",
       "      <td>2.015</td>\n",
       "      <td>2.260</td>\n",
       "      <td>8.5</td>\n",
       "      <td>2.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>236</th>\n",
       "      <td>1.990</td>\n",
       "      <td>2.070</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>237</th>\n",
       "      <td>2.505</td>\n",
       "      <td>2.655</td>\n",
       "      <td>9.0</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>238</th>\n",
       "      <td>2.010</td>\n",
       "      <td>2.135</td>\n",
       "      <td>7.0</td>\n",
       "      <td>2.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>1.510</td>\n",
       "      <td>1.735</td>\n",
       "      <td>6.5</td>\n",
       "      <td>1.5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>336 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       TFD    TVD  Fix Count  Visit Count\n",
       "0    0.635  1.385        3.0          1.0\n",
       "1    0.425  1.090        2.5          1.0\n",
       "2    1.035  1.265        4.0          1.5\n",
       "3    1.480  1.790        6.5          1.5\n",
       "4    0.150  0.165        1.5          0.5\n",
       "5    1.005  1.400        4.0          2.0\n",
       "6    1.565  1.800        5.0          1.0\n",
       "7    2.050  2.120        5.0          2.0\n",
       "8    2.065  2.205        7.0          2.0\n",
       "9    2.295  2.815       10.0          3.0\n",
       "10   1.540  2.030        6.0          2.5\n",
       "11   0.940  1.380        4.0          1.0\n",
       "12   1.730  1.855        6.5          4.0\n",
       "13   2.190  2.250        7.0          4.5\n",
       "14   1.700  2.610        8.0          2.0\n",
       "15   0.765  0.815        2.0          0.5\n",
       "16   2.500  2.840       11.0          4.0\n",
       "17   2.860  3.315       10.5          2.5\n",
       "18   2.655  2.985        8.0          2.5\n",
       "19   1.690  1.875        5.5          3.0\n",
       "20   2.640  3.145       10.5          3.5\n",
       "21   2.270  2.740        9.0          3.0\n",
       "22   1.550  1.845        6.0          1.5\n",
       "23   1.575  1.895        7.0          1.5\n",
       "24   2.515  2.605        5.0          2.5\n",
       "25   3.530  3.615        5.0          2.0\n",
       "26   2.725  2.890        9.5          4.0\n",
       "27   0.620  0.870        3.0          1.5\n",
       "28   1.155  1.350        5.0          2.0\n",
       "29   1.665  2.010        7.0          3.5\n",
       "..     ...    ...        ...          ...\n",
       "210  0.805  1.230        4.5          2.0\n",
       "211  1.075  1.650        7.0          3.0\n",
       "212  1.555  2.390        9.5          1.5\n",
       "213  1.340  1.470        7.0          4.0\n",
       "214  0.535  0.925        4.5          3.0\n",
       "215  0.800  1.145        6.5          3.5\n",
       "216  2.295  2.375        6.5          2.0\n",
       "217  0.825  0.865        3.0          1.5\n",
       "218  2.340  2.490        6.5          2.5\n",
       "219  1.490  1.580        5.0          1.0\n",
       "220  1.530  1.645        5.0          1.0\n",
       "221  1.855  1.950        7.0          3.5\n",
       "222  0.875  0.895        4.0          3.0\n",
       "223  1.965  2.105        9.0          3.5\n",
       "224  1.870  2.000        6.0          2.0\n",
       "225  1.615  1.665        3.5          1.0\n",
       "226  1.625  1.790        8.5          4.0\n",
       "227  0.985  1.075        4.5          1.5\n",
       "228  1.530  1.625        4.5          1.5\n",
       "229  1.985  2.085        4.5          1.5\n",
       "230  0.725  0.830        4.5          1.0\n",
       "231  1.370  1.620        6.5          1.5\n",
       "232  1.735  1.825        6.5          3.0\n",
       "233  1.915  2.040        7.0          2.0\n",
       "234  2.005  2.125        7.0          2.5\n",
       "235  2.015  2.260        8.5          2.5\n",
       "236  1.990  2.070        6.0          2.0\n",
       "237  2.505  2.655        9.0          3.5\n",
       "238  2.010  2.135        7.0          2.5\n",
       "239  1.510  1.735        6.5          1.5\n",
       "\n",
       "[336 rows x 4 columns]"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "D_EM[['TFD','TVD','Fix Count','Visit Count']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'LogisticRegression' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-27-b2ece118d843>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0mX\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mD_EM\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'TFD'\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;34m'TVD'\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;34m'Fix Count'\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;34m'Visit Count'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0my\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mD_EM\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'Group'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m----> 5\u001b[0;31m \u001b[0mlr\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mLogisticRegression\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      6\u001b[0m \u001b[0mlr\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfit\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mX\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0my\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m      7\u001b[0m \u001b[0mpreds\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mlr\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mpredict\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mX\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mNameError\u001b[0m: name 'LogisticRegression' is not defined"
     ]
    }
   ],
   "source": [
    "## Depression\n",
    "\n",
    "X = D_EM[['TFD','TVD','Fix Count','Visit Count']]\n",
    "y = D_EM['Group']\n",
    "lr = LogisticRegression()\n",
    "lr.fit(X,y)\n",
    "preds = lr.predict(X)\n",
    "\n",
    "accuracy_score(y,preds)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 268,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "D_EM['GroupCode'] = D_EM['Group'].map(lambda x: \"1\" if \"High\" in x else \"0\" if \"Low\" in x else \"\")\n",
    "D_EM['GroupCode'] = D_EM['GroupCode'].astype(int)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 157,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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XhLGKXqgVB4NBvF5v5rWmaRiGga7rdHV1sXnzZu655x5mzpzJnXfeyeLFi1m2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\nC5iL6AqTiSEF98EHH+TFF19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GDopVoEKd6SyF3bt3Y1kWP/jBD9ixYwfhcJjFixezZs0a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\nEAThEyS4BEEQPkGCSxAE4RP/D4cAR3rpcIQpAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1c3082114a8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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0Ov0ISlS8nCAyRVyCW1tbi2effRYNDQ1oaGjAs88+i+nTp6fatlHJN2aW4Xt3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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1c304eac400>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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tNpuxffv2qN9t2LAhCeGlT025A399/yp8fKYH7528qpeR/dcb57ByYR523lAJ\nhy32i5WJgqIMl0eAw2acVtIlhKRe3IT7zDPPAABcLhfa29uxdu1asCyLU6dOoaamBi+++GJagkwm\nnmOxdVUJVi/OxzvH2vHJhT4AwKdXBnG+zYVb1pZh66oS8NysWWYCQVHGkJumAhOS6eIm3BdeeAEA\n8JWvfAU//vGP9bUQOjo68Nhjj6U+uhSyW424/+ZF2LisEHsOt6CjzwtRUvDu8XacaOrFXZursLQi\nd6bDTJggKRgcDsBhN82qLwtC5pOEzszOzs6ohWdKS0vR2dmZsqDSqaLIjq/eW4f7blwIq1n7/hkc\nCeL/7W3Cr/aex8Bw5kyYmIikqBgcCUCUaAcJQjJRQmVhK1aswDe/+U3s3LkTiqLgjTfewHXXXZfq\n2NKGZRhsWFqIuuo8/OFEO46e7YGqaquRXbp6GttWl+LmtaUw8qmbWpssiqp9YWRnGefM6mmEzBUJ\nnZFPPPEEfv3rX+PFF18EwzDYtGkTHnrooVTHlnYWE4/PbqnGhqWFeP1QC1q73ZAVbbZa/cU+3HlD\nJVZU52X84FR4BwlJVmCnWl1CMkZCCddoNGLr1q0wGAyQZRkbNmzQ10WYi0rys/DI3ctx+tIA3j7a\nCrdPhMsj4Df7LmJxWQ7u2lKFwtCiOJnMG9DK33JsRhpMIyQDJNSH+9prr+Ev//Iv0dHRgc7OTnzt\na19L2SyxTMEwDNYsKcDff2ENtq0q0RPWpY5hPPtyA/YebZ0Vu+0GRRmDIwFa4pGQDJBQM/UXv/gF\nfve73yE3Vxu1f/TRR/Hwww/j/vvvT2lwmcBk5LDzhkqsry3EG4dbcKljGLKiYv/pLtRfGsCdN1Rg\n5cL8jO5mkGRtMM1hM6V0iUdCSHwJtXAVRdGTLQDk5WV+P2ayFeZa8Gd3LsUffWYJcrK0ftERr4AX\n37uE//vmOfQM+mY4wvgUFRii7dgJmVEJtXBra2vxve99T2/Rvvzyy1i6dGlKA8tEDMNg5cJ81JY7\n8OGpDhxo6IKsqLjSOYJnX/kUm1cW49Z1C2AyZmYrMjyYJisqbJbZuXAPIbNZQi3cJ554AkajEd/+\n9rfxrW99CzzP45//+Z9THVvGMho43LaxAn9z/yosWZADQNtb7WBDF/79t/UZv/auxy9ixJsZc98J\nmU8SrlL4xje+AQAYGBhAfn5+SoOaLQocFvzpzqU42zKEN4+0wOUR4PaJ+O37l3D8XA8+u6UaRXnW\nmQ5zXL5WajRDAAAgAElEQVSgBFnRKhgIIekRt4U7NDSEL37xi9i7d69+2+OPP44//uM/hsvlSnlw\nswHDMFhRnYe//cJq3Ly2DByr9W03d7nx7CsNeOtIa8bu0kAVDISkV9yE+73vfQ/btm3DHXfcod/2\nzDPPYNOmTXjyySdTHtxsYuQ53LahHH/z+VWoKQ93MwAHP+3Cj357OmO7GSRZRd+Qn6YDE5IGcRPu\nhQsX8Bd/8RdRuzswDIOvfe1rOHv2bMqDm40Kciz4kzuW4ou31cARulwPdzP81xtnM7KaQVFVDI5Q\nBQMhqTblZaUm2mJnPmMYBsurtG6GW8Z0M3yKl9+/iKCQWS3KcAWDJwkLoxNCxhc3a5aVleGjjz4a\nc/v+/fuRl5eXsqDmCiPPYceYbgYV+4614Ue/rcfpDOxm8PhFjGTI6v2EzDVxqxS+8Y1v4E/+5E+w\ndetWrF69Gqqq4tNPP8X+/fvx/PPPpyvGWS/czXCudQhvHNaqGUZ8Il56/xKOn+/F3VuqUJSbOdUM\nvoAEBqCFbwhJsrgt3IULF+KVV15BcXExPvzwQ+zfvx8LFizAa6+9hmXLlqUrxjkhspth5+YqvZvh\nSucInn35U7z9cWtGdTN4AxLc1NIlJKkmrMMtLCzE3/zN36C/vx8nT54Ez/MwGGiW0lQZeQ733LgI\nyxbkYM/hFly8OgxFVXGgoQunL2fW2gzegARVBbKzqKVLSDIkNPL1+uuv495778Wbb76JV199FXfd\ndde4fbskceFJEw/tqBl3bYbeIf8MR6jxBSUMuWk7dkKSIaGZZj/5yU/wyiuvoKioCIC2p9mjjz6K\nm266KaXBzXUMw6CuOg81C3LwwakOHIxYm+GZlxuwZWUxtmfA2gy0SSUhyZFQC9dms8HpdOo/l5WV\nUbdCEhkNHG7fWIG/HrU2w4GGLvzot/VouDzz1QyCpGBwJABZoVlphExVQi3cmpoafOUrX8Hu3bvB\ncRzefvttFBYW4rXXXgMA3HvvvSkNcr5whroZzjQP4s0jrRj2atUML753CcfO9eKzW6pRmDtzO01o\n6+oGkUs7AxMyJQklXFVVUVhYiAMHDgAALBYLLBYLjh49CoASbjIxDIO6hfmoKXdkZDeDHNoZONdu\ngmEWbKpJSCZJKOE+9dRTqY6DjBLuZlhX48SeQ9pOE3o1w6V+3LmpcsaqGcI7AztsphnvXyZkNkko\n4W7fvn3cE/u9995LekAkmtOh7TQRq5thpiZNqABcniDsViOs5rm7oSghyZTQmfLCCy/o/5YkCX/4\nwx8gCFQUny6R3Qxjdpp4eeZ2mlABjPgEKCrtIEFIIhIa+SgrK9P/q6ysxJe//GXs27cv1bGRUcI7\nTYyuZpjpnSY8fhHDHqrVJWQiCbVwjx8/rv9bVVVcvHgRwWAwZUGR+PRqhpYhvHUkeqeJY6GdJorT\nvNOEX5AhK1SrS0g8CSXcZ555Rv83wzDIzc3F008/nbKgyMT0SRPlOfjwVCcOnO6ErKho6XLjx680\n4IYVxbh1/QJYTOnrXxUkBUOhsjGWpaRLyGiT6sP1eDxQFAXZ2dkpDYokLrzTxPoaJ9443IKmdhcU\nFTjc2I3Tlwdwx8ZyrK1xpq3VKcraBAkH1eoSMkZCZ0R7ezvuv/9+3HrrrfjMZz6De++9F83NzamO\njUxCfo4ZD99Riy/dXotcuwkA4PWLeOWjK/j578+go8+TtlgkRcWgOwhRollphERKKOE+9thj+PKX\nv4yjR4/i2LFjeOSRR/DYY4+lOjYySQzDYFllLv7286tx6/oF4DmtVdve68FP/qcRrx24Al8gPTs6\nKIqKQXcAQTFzlpwkZKYllHCHhoaiNpK88847adfeDGbgWdy6fgH+7gursbwqF4BWwnXsXC9++NJp\nfHy2G4qS+ooCVQVcbtorjZCwhBKu0WjEmTNn9J8bGxthsczcnH6SmFy7GV+8rRZ/unMpCnLMAAB/\nUMLrB1vw3P98ipbukZTHEN4rbcQnUNkYmfcSGjT7p3/6J/zVX/0VHA4HVFXF8PAwfvSjH6U6NpIk\nNeUO/PX9q3D40268f+oqBFFB14AP/+f1s1izuAAP3r405TH4AhIEUYbDRoNpZP5KKOEODQ3hnXfe\nQUtLCxRFQXV1NYxG2gVgNuE5FjeuKcWaJQXYe7QN9Zf6AQD1l/pxrvUIbl5bii0rS1KaDCVZxcBw\nANlZxrSWqxGSKRI6u77//e/DYDBgyZIlqK2tpWQ7i2VnGfGF7YvxyGeXoyRfmxwRFGW8c6wd//ly\nA5rahlL6+HoXg5e6GMj8k1Azo7y8HN/61rewevVqmM1m/fZ0LstotxoRFGQIogwpDQM+c11VcTb+\n130rcex8D947cRXegISB4QB+tbcJteUO7NpUiQJH6vrpfUEJkqwgx2YEx1IXA5kfEkq4ubnaSPfp\n06ejbk9nwjUZOJgM2uIskqxAEBUERRmCJIMaSlPDsgxuWF6MG9dX4Hd/aMKxcz1QVaCp3YVLHcPY\nXFeMW9aVwWxMzeW/ICnoHw7AZjEgy0yL35C5b8Iz6Te/+Q22b9+OHTt24P7778fg4CB4nsfzzz+f\njvjGxXMseI7VlwUURBmCpCAoyBBlKrafLJvFgHu2VmPjskLsOdyCli43ZEVbe7f+Yj9uS+FsNVUF\n3D4RgaCMHJuRBtTInBb30/3zn/8c7777LhYvXgwAEAQBL7zwAh5++GH8/Oc/j3tgRVHw2GOP4YEH\nHsCXvvQltLa2jvt33/nOd/CDH/xgiuFrjAYONosB+TlmFDosyMkywmLkQNP5J6ckPwtfuWs5Hrx1\nib6TsDs0W+1nrzWircedsscWZQUDwwF4/OmZmEHITIibcF977TU899xzqK6u1v6YZVFWVoaHHnpo\nTPfCaPv27YMgCHjppZfw9a9/fdzFbl588UVcuHBhGuGPxbIMLCYeOTYTnA4Lcu0m2CwGfdYViY9h\nGKxalI+/e2A1tq8r01+3q31e/Oz3Z/C7Dy5hxJuatZBVaEs99g75INGVCpmD4iZcjuOQlZWl//zV\nr35VuxPLTlipcPLkSWzbtg0AsGbNGjQ2Nkb9/pNPPsHp06fxwAMPTCnwRDAMA5OBQ47NhIIcCwod\nFjhs2g4FBo4FpeDYjDyHz1xXjr/7wmrUVefpt5+62I9/f6keH57qSNlaCaKktXbTNQ2ZkHSJ24er\nKAo8Hg9sNhsA4PbbbwcAuN0TX1pG3g/QkrckSeB5Hr29vXjuuefw4x//GG+//XZCgebmWsFPY9NC\np9M+5jZVVREUZYiSAkGUERTTNwCXl5c18R+lUax48vKy8LXKfDS1DuG3+y6go88DQVLw7vF2nLzQ\nh8/dshjraguTvrdabige1sjBYTeDm+H+ofE+PzOJ4oktk2IZLW7Cvfvuu/HNb34T//qv/6onT6/X\ni29/+9v47Gc/G/fANpsNXq9X/1lRFPC89nB79+7F0NAQHnnkEfT19SEQCGDhwoX43Oc+F/N4Q0O+\nhJ/UaE6nHX19E39JGKC1rkRJG4QTJCUlaw7k5WVhcNA78R+mSSLxOO1GfPWeFTh+vhd/ONEOX6iM\n7PnXGlFdYseuTVUoLUjOl8joeLp7RpCTNXMbVib6+UkXiie2TIglXsKPm3AfeeQRPP7449i2bRsW\nLVoEhmFw6dIl3HPPPfizP/uzuA+6bt06fPDBB7jzzjtRX1+Pmpoa/XcPP/wwHn74YQDAq6++iitX\nrsRNtulk4FkYeBbh/RLCJWiCpNUAz+cSYJZlcP3yIqxalI/3P7mKI409UFQVzV1uPPfqp1hf68SO\nDeWwW5M7MUZRgSFPEFYzD7vFMCM7FROSDHETLsdx+O53v4uvfe1raGhoAACsWLECpaWlEx54x44d\nOHToEB588EGoqoonn3wSe/bsgc/nS2m/bbLpJWihl0qSFa0LQlIgztNJGBYTj12bqrBxWRHe+rgV\nTW0uqABONPWh4coAbllbhs11JTDwyS3xCq/HkJNlSvqxCUkHRp0l8yunc5mQyssMRVFDrV8l4Vlw\ns7FLIZ4L7S689XEreof8+m25dhNu31iBlQvzJt0inSgeBoDNmr7JEplwmRqJ4oktE2KZcpcCmRjL\nMjAbeZhDV9HzcRZcTbkDi8pycOycNk3YF5Qw5A7ixfcu4nCjDbs2VaG80DbxgRKkQpssIYgKcrKM\ntH8amTXouizJwjPgcu0mFIbqgK1mHvwcTwocy2DTimJ8/cE12LqyRJ+V1tbjwU9fa8RL71+Ey5Pc\nnZ6DooyBkQBEiXaVILMDtXBTKFwHbDJwgBWQFQVBQYHZyIGB1lKbaywmHnduqsTG5YXYe7QNZ1u0\n1cdOXxrAmeZBbFlZgpvWlCZtfQZZUTE4EkSWxYAsM08DaiSjUcJNI45lYTWzyM+xQAqKCAoy/EEJ\nwhzcbLEgx4Iv3laLK50jeOvjVnT2eyHJKj6q78SJpj58Zv0CXLe0MCn1teEZaoGgBHuWUV/kiJBM\nQ10KM4RltCnIedna+g/ZVgOM/Nyb/bawNBt/eV8d7r95EbJD6zN4/SJ+f7AZz7zcgPOtQ0lbF1dS\nVAy5gxj2BNOyZxshk0Ut3AzAsgysZgOsZgMUVYUoKgiG6n4lefYnDpZhsK7GibqFeTjY0IX99Z0Q\nJAV9Lj/+3ztNWFiajZ03VKIsSRMn/IKMoOiH3Uo7S5DMQp/GDMMyDExGTp9VpShqqOJBq3yYzS03\nI89h+7oF2LC0EPtOXMWJpl6oKnClcwTPvfop1iwuwI4N5UmZ9qyo2s4SAUGG3WqgZR9JRqCEm+HC\nq59ZTNrPWtmZjGBo9ttsLDuzW42478aF2FxXjL1H29DU7gKg7a/W2DyAW9aX44ZlhUlpnQZFGcKw\nDIuJh81ioBIyMqMo4c4y1xZf1xbfCbd8g4IMeZa1fovyrPiTnUtxuWMYbx9t0wfW/nCsDQfqO3Dz\n2jJsWlE87VllKrQtfQKCBJvFqC9cT0i60XXWLBYuO8u2GuF0WFCQY4bNYoBhll0+LyrLwV/eV4cv\n3LIYDps2sBYQZOw92oZ/f6ken1zoS0pXiqICIz4B/cN+BEWq3SXpR1/1cwjPsbBZWNgshlDNr4yA\nIM+KsjOWYbBmSQFWVOfhdPMg3j7cDH9QxrBXwMsfXsbBhi7cvrEcNeWOadfaSrJWzWDgWGRZ+JTt\n2UbIaPRJm6PCNb9Ws0EfeAumec3fqTDwLG67vhIrKhz48FQHjpzphiSr6B704Vd7m1BdYsftGytQ\nUTT9NU9FWYHLI4DnRNgtxhlb/pHMH5Rw54FrA298VL+vIGTuamcWE4+dN1RiU10x3jtxFZ9c7IOq\nAs1dbvzs92ewvCoXOzaUoyjXOvHBJiDJKoY8QRh5FlkWA02cIClDCXeeGT3dWJIV2LOM8Iz4IUpK\nxk03dthM2H3zImxdVYJ3j7fjXKs2VfhsyxDOtQ5h7RInbl2/ALl207QfS5AUCNTVQFKIPlHzHM+x\nsFmNyMs2Q1FVveQs02p+i/Ks+NLttWjtdmPvsTa0druhqsAnF/pw+lI/Ni4vwi1ry2CzTH/JRr2r\ngRVhMfPIz6DXgcxulHCJjmWil5rUFlrX1voVpczY7aKy2I5H7l6OpnYX3j3Wju5BH2RFxZHGbpw8\n34vNK0uwbVVJUmp4JUWF2yeie9ALn1eA1cTTwudkWijhkpjC2w1lmbWfRUmGP1T5MJOtX4ZhsLQi\nFzXlDjRcHsC+4+0YdAchSAo+PNWBj89048bVpdhcVwxjEvpjVRXwByX4gxKMPAuLiddWfKOVycgk\nUcIlCTPwHAw8h2wrIIgyAuLMJl+WYbBmcQFWLszDifN9+OCTqxjxiQgIMt493o5Djd24eU0pNi4r\nSlrLVNtcVMCIDzAbeViMXFKSOpkfKOGSKTEatESjJ19BRkCQZqTbgWNZXL+8COtqnPj4bDc+qu+E\nLyDB6xfx5pFWHGjows1rS3FdbWHS1lSIbPVqu35wsBipy4HERwmXTFs4+dqtBgRFWdvscQYmWxh4\nFttWlWLj0iIcauzCwYYuBAQZI14Brx9swf76TmxftwBrawrAsclLjIqiwheQ4AtQlwOJjxIuSRpG\nH3TjIckK/EEJgRlY48Fk1FYl27SiGAcaunC4sQuCqFUevLr/Cj481YFb1pVhzRJnUhZAjxTucnD7\nABN1OZBRKOGSlOA5FnarEfbILoc0l5pZTDxu21COLSuLsb++Ex+f6YEoKxh0B/HKR1fw4alO3LKu\nDKsXFyQ98SrjdjlofeBk/qKES1JO7+8F9JXNgmL6Wr5ZZgN23lCJratKsP90J46e7YEkqxgYCeDl\nDy/jg1MduGVtahIvEN3lwLMMzKEuB1qjd/6hhEvSSp/lBm2WW0DQErAop77P1241YtemKmxbVYqP\nTnfi+LlQ4h0OJd5POnDz2lKsWZLcPt5IkqLC4xfh8Ysw8myoC4ajdXrnCUq4ZMaMXt0sENpUM9Wy\ns4y4e3MVblpdio/qO3H8/LUW7ysfXcH7n3Tg5jWlWFvjTGkrNLK/12jgYDZyNNg2x9E1DckIHMsi\ny2xAQY4FhbmWtKzrm51lxN1bqvC/H1yLzXXF4Dkt0Q25g/ifA8344Yv1OHKmG6KU2rVzVWhdLcNe\nAb0uP4a9AgRar3dOohYuyTgGnoPNYoDNoi0tGRBkeANiyvp8s7OMuGtzFW5aU4oDDV04erYHoqRg\n2Ctgz6EWfFTfiS0ri7FxWVHKVxKLrO+l/t65hxIuyWjajsY8rGZeLzMTRDklq5rZrUbceUMlblxd\nioMNXfj4bDcEUcGIV8DbH7fho1Od2LyyGJtWFKdlN+DI/l6eY/T+XjJ7UcIls8boNX0DQQl+IfmX\n3jaLAXdcX4EbV5ficGMXPj7TA19Qgi8oYd+JqzhwugvXLy/ElpUlsFuNSX/88UjyteTLGQ3w+kWY\nDCyVmc0ylHDJrBO5pq9VUuDxiynZo8xq5vGZ68px902LsffQFRxs6II3ICEoyth/uguHG7uxrsaJ\nG1eXIi/bnPTHj0WUlVDyBRhG237eFBp0o2qHzEYJl8xqBp5Frt0EUVLgFyQEgslfz8Fi4nHTmjJs\nqivGifN9OHC6E8NeAZKs4ti5Xhw/34uVC/Nx4+pSlBZkJffBJ6Cq0LdOGvEBBo6FyaglYFrXIfNQ\nwiVzgraUpBF2i7aegz8oJ73Va+Q5bK4rxvXLC3H60gA+qu9AnysAVQUaLg+g4fIAlizIwbbVpVhU\nmj0j5V2irED0ay1glg1fCbAwGjiwVG424yjhkjklcj0HWVG0GV5BKakbZ3Isi3U1TqxZUoDzrUP4\nqL4T7b0eAMDFq8O4eHUYpQVZ2LaqBHUL81Myey0RiqKGKh4ABtqXkjm0tgNVPcwMSrhkzuJYbT2H\nLLMBvqAEb0BMauJlGQbLq/KwrDIXzV1uHDjdiaZ2FwCgs9+Ll96/hHeOtWHLyhJcV1s4o7sCqwhP\ntFAAhFq/PBta45il7oc0oYRL5jyWZWCzGGA18fAERPgDUlLLyhiGwcLSbCwszUb3oA8HTnfi9KUB\nKKoKl0fAm0da8d7Jq9i4rBCbVhQjxzb9DS+nS1FU+AVZr/JgoM38MxhYGDgWRgObsunN8xklXDJv\nsCyDbKsRVhMPr19MSUlZcZ4Vn79lMW7bUI7Djd04dq4XwdBqaftPd+FgQzdWLcrHlpXFKHPakv74\nU6Ui1P8bsaYFyzJ68jVwWiuYph1PDyVcMu/wHIscmwlWSYHbJ6RksfQcmwk7b6jELevKcOJ8Hw43\ndsHlEaCoKuov9aP+Uj+qiu3YsrIEyypzM7KcS1FUBJVrg4/hVrAxNAhnpAQ8aZRwybxl4FnkZZsR\nFGS4fQKkFEwdNht5bF1Vgk11RWi8MoiDn3aho88LAGjpdqOl241cuwmbVhTjuqVOmI2Ze0pGtoK9\nAUlPwLzZAF9A1P7Ns1QNEUfmvruEpInJyMFoMMMbSP7AWhjHsli9uACrFuWjtceNQw3dONs6CFXV\nFst56+NW7DvRjrU1TmyqK0ahw5L8IJIsnIB9AQkjPlG/nWcZfSDOwLPgOWoJh1HCJQTawFd4YC08\njTcVu1MwDIOq4mxUFWdjcCSAj8/04Ph5rZ9XkBQcPduDo2d7sLgsB5vqilFb7sjI7oZ4JEWFNGpA\nLpx8jaGqiNn2nJKFEi4hEcIVDVlmXl+lLFXyss24c1Mlbl2/AJ9c7MORxm70DwcAAJc6hnGpYxi5\ndhOuX16E62qdsJoNKYsllSJL0rzQ1jvmWEariuBZ8BwDjmXBccyc746ghEvIOBiG0RfLseeY4Rnx\np2wnYpORw6YVxbh+eREuXR3GkTPduNDmggqtu2Hv0TbsO9GOVYsKcMPyIuTlpXf6cCrIigpZGTsb\nkGGuJeNwQp5Lg3OUcAmZgNnIa4NrogyPT0zZdkAsw6Cm3IGacgcGhgM4erYHJ5p6ERBkSLKKTy70\n4ZMLfagobsV1NU6sWpwP4xxbLUxVtZXRJFkGEOqS0BfoYWf9LDlKuIQkyGTgYMrhtKoGv7Z4Tark\n52jdDZ/ZsACnLw3g4zPd6BrwAQDaut1o63bjrY9bsXaJExuXFaIoz5qyWGZa5AI94Vly4brg8P9n\nS58wJVxCJslk5GAyWuAPSvD6xZSUk4UZeQ4blhbiulon2ns9OHq2B59eGdQ34DxyphtHznSjssiO\nDcsKUbcwb861ekcbXR8MXOuGMGeZEBTkjE3CKUu4iqLg8ccfR1NTE4xGI5544glUVlbqv3/jjTfw\nq1/9ChzHoaamBo8//jhYmkpIZpFwH286Ei/DMKgosqOiyI4/3mnAe0dbcexcLwZGtEG21h43Wnvc\neONwC9YsLsCGZYUoyZ/9fb2JCvcJj3gFDHmCABDVEua5a/3CMyllCXffvn0QBAEvvfQS6uvr8fTT\nT+OnP/0pACAQCOA//uM/sGfPHlgsFvz93/89PvjgA9x6662pCoeQlIlMvL6AlPIt321WI7atLsWW\nVSW40jmCY+d6cK5lCHJo/7ePz/bg47M9WODMwvraQqxenJ/REypSZbyWsD5Zg2PAcdcSMccyaRmY\nS9m7cPLkSWzbtg0AsGbNGjQ2Nuq/MxqNePHFF2GxaMXdkiTBZJr5BT0ImY5w4hUlGd6Atv9aKrEM\ng8VlOVhclgOPX8QnF/pw/HwvBkKlZVf7vLja14y3jrSibmEe1tc6UVWSPedLr+K5NlsOCA/KAVoi\n5lgGfGiixrVKieQm4pQlXI/HA5vt2uIcHMdBkiTwPA+WZVFQUAAAeOGFF+Dz+bBly5a4x8vNtYKf\nRt+U02mf8n1TgeKJby7EI8kKvH4xJbPXRpeG5QGoKHPgnpsX42K7C4dOd+Lk+V5Ioam4py7249TF\nfhQ4LNi0sgSb6kqQl5O8bYEyqVQtWbGoAERoiTg8Yy48fTmclCcrZQnXZrPB6/XqPyuKAp7no37+\n/ve/j+bmZjz77LMTfosMDfmmHIvTaUdfn3vK9082iie+uRYPp6jwBsSkLYSel5eFwUFvzN8X2Iy4\nZ0sVbrtuAU5f6seJpj509mt/3+/yY8+BK3jjwBVUl2ZjXY0TddV5ME5j+/eJ4kmndMbCMtqU7dHd\nEyXFOTHvk7KEu27dOnzwwQe48847UV9fj5qamqjfP/bYYzAajfjJT35Cg2VkTmNZRl8IPRXr8cZi\nMfG4YUUxblhRjK4BL0429aH+Yr+W+AFc6RzBlc4RvH6wGXUL87BmiRMLS7IzcnQ/EykqoIzTPREv\n4TKqmoqlOq5VKVy4cAGqquLJJ5/E2bNn4fP5UFdXh927d+O6667TW7YPP/wwduzYEfN402lhzLUW\nU7JRPPElOx5JVuD2TX2n4em04iRZwfk2F05d6ENT29CYDTdzsoxYvTgfa5Y4UZxgbe98beHGsrK2\nKObvUpZwk40SbupQPPGlKh5BlOHxi5OeMpyspOLxizh9qR+nLvShc2Bsl11xnhWrF+dj9eICOOLs\nUpEJSS4sE2KJl3DnX60IIRnCaOCQZ0jPzLXx2CwGbFlZgi0rS9A96MOpC304fXkAI14BANA96EP3\nMR/eOdaOqhI7Vi8qQN3CPGTN0kV0MgElXEJmWDpnrsVSnGfFzhsqcfvGCjR3jaD+Yj8amwf1bo+W\nLjdautzYc6gFixdkY9WiAiyvyp2X9b3TQa8WIRkiXMfrC0jwBMSUrMc7EZZlsKgsB4vKcvDZrdVo\nahtC/aV+NLW5ICsqFFXFhfZhXGgfBsdqi+1sWlWK8nzrjO5KPFtQwiUkw1jNPCwmLqU7UCTCwLOo\nW5iPuoX5CAgSzjQP4vSlAVzpHIaiatNpz7UO4VzrEHhOS751C/OxtMJBLd8Y6FUhJANF7kCRzlKy\nWMxGHutrC7G+thAev4gzzYNouNyPli43VGhLKp5tGcLZFi35Li5zoG5hHpZV5sJiojQTRq8EIRls\n9NbuqZ4unAibxYDrlxfh+uVFGPEJaOnx4OPGLrRGJN/zbUM43zYElmGwqCwby6vysKwqF9lW40yH\nP6Mo4RIyC4S3drcpCqxWI1wu34z08Y6WbTXi5vXlWFWdhxGfgLPNg/j0yiBaukegqoCiqrh4dRgX\nrw7j9YPNKC+yYXlVHpZX5aIgJ/M3ykw2SriEzCIcyyI7ywhnjlnfcy3d5WSxZFuN+sw2j1/EuZZB\nNDYP4krnCGRFhQqgrceDth4P9h5tg9NhwbLKXCyrzEV5oW1ezHCjhEvILBS551owlHhTtefaVNgs\nBmxYVoQNy4oQECScb3PhbPMgLrS79Dj7XH70ufzYf7oTWWYetRW5WFqZiyVlOXO24oESLiGznFbH\ny0155lqqmY081iwuwJrFBRAlBVc6h3GmZQjnW4fg8Wu7InsDkr5nG8cyqC7JRm2FA0src5GfnbxV\nzWYaJVxC5ojwzDVRUuALaANsmdHZcI2BZ1FbkYvailwoqoqOPg/OhpJvz5AfgFZuFt4m/s0jrcjP\nMdrDyVAAAByzSURBVKM2tLlmdUk2DPzsXeyKEi4hc4yBvzbA5gtI8AelMYvUZAKWYVBeaEd5oR23\nb6zAkDuAc60uNLUN6f2+ADAwHMDh4W4cbuyGgWOxsDQbS8odqFmQg/wc86zaQp0SLiFzFMeysFuN\nsFkM8Adl+IKZM8A2nly7GZvrirG5rhhBUcbljmFcaHehqc2F4dD6DqKsoKndhaZ2V+g+JixZkIPF\nCxxYVJo9k+EnhBIuIXMcwzCwmnlYzTwEUYYvKCGYgd0NkUwGLlQ+lgdVVdEz5MeFdhcutLvQ2u3W\nW79D7iCOnevFsXO9YBigqiQbVUV2LCrLQUWRbcY3jRyNEi4h84jRwMFo4KAoKvyCBH9AmpHFciaD\nYRgU51lRnGfFjatLERRkXOkawcV2Fy5eHdZ3LlZVoLlzBM2dI/jgVAcMPIuqYjsWleZgUVk2SvKz\nZrz0jBIuIfMQyzLIMhuQZTZAlBQEBG3TSznDky+gVWWE63cBYHAkgItXh3Hp6jCau0bgC0oAAFFS\n9EkXAGA2cqguycbCUu2/ojxr2jfUpIRLyDxn4FkYeCPsVm1RdH9QysgKh1jyss24frkZ1y8vgsNh\nReOFXlzqGMblzmG0drv1fuuAIOuL7QDa6mzVJXZUl2SjuiQbxXnWlLeAKeESQnThLge7oiIgyAgI\nUsbV9cbDsgwWFNqwoNCGm9eWQZQUtPW4caVzBJc7h3G11wsltPyaPyjpC+4AWgu4ssiOqhI7qoqz\nUebMSnofMCVcQsgYLHttoE1WFC35BmWI8uxJvoDWeg+v77sD5QiKMlq73Wju0jbQ7Ojz6CVzAUGO\nqoDgOS15VxXZUVlsR0WRfdorn1HCJYTExbEssswssswGSLKCoCgjKMizquUbZjJwqAlNogCAoCij\nrceN5s4RtHS70d7r0fuxJVnVd7oIK8y1oLLIjooiGyqK7CiYZB0wJVxCSMJ4jgXPack33PI1ZFjp\n1WSYDByWLHBgyQItAYuSgqt9HrR2u9HS7UZbjztqSczeIT96h/w4fr4XAGAxcaHJGzb9v3go4RJC\npiTc8nXmWSEFRfgFCYEMndWWKAPP6oNoAKAoKnpdfrR2u9EaSsCD7qD+9/6grNcHh+35YVnM41PC\nJYRMW7jSIdtqRFCQERBlBIXZnXwBrS87XAN8/XJt+3O3T0BbjwftvW609XrQ0etNuG+bEi4hJKnC\nq5chywhBlPU+30yfYJEou9WIFdV5WFGdBwCQFQXdg36097pxtdcT976UcAkhKaOXmVkBSVZCCVj7\n/9xIv1rXSllBFsoKsoDl8f+WEi4hJC3CA25WM6CqKgRRq3gIiHJGbBeUDpRwCSFpxzCM3vWQDa06\nINz1MNtqfSeDEi4hZMZpg24sbBYDFEVFUNTqfEVx7vT9ApRwCSEZhmXD+7VpP8uKAkFUIEha3+9s\nWGAnFkq4hJCMxrEsLCZWT8CSrEAMJV9BUmZVAqaESwiZVcKDb+F1DWQllIAlBUaeAwNkbAUEJVxC\nyKzGsSw4IwuzEXDmWgBJgihpSViUFYiSnDFbC1HCJYTMOeFBuDBFVSHpCVj7bya6IijhEkLmPJZh\n9EkYYeGuiMjWsJriHEwJlxAyL0V2RYRJsqIPykmyClGSk7oeBCVcQggJCQ/IRSZhWVEgSSpEWYEs\nK6H/q1MamKOESwghcWgtYcAELur2cGtYklX93xP1C1PCJYSQKQi3hidj9i7VTgghswwlXEIISRPq\nUiAJa2wewMGGLvS5/HA6LNi6qgR11flzIoZ4x/2kqRdvHrictMdM5+s4+rEWFNpwtdczo+/hfMao\naqorz5Kjr8898R/F4HTap3X/ZMvkeGIlg8bmAbzy0ZWo+/mDEnJtJgiSnNDJO1GiaWwewJuHW9DR\n74OqqljgtGHX5kr9b9440oK9R9sgiDIURVtTlWGA0gIrvrB9if53k00y4ecWCEpw+0VIsgKeY3HH\n9RWoKrbj9UMtEEftULv7poVjjhHruUX+zsizcHkEmEdttz36ePGOe8vGKnxwrGXCx2vtccPtE2Gz\nGGAx8QgEJQy5g3DYTVHbfYcfe6rJebzP80x9OWfCueV02mP+jhLuDEh1PJP9sIfjGS+pAtoJebCh\nCz1Dfv02f1CCyx0Ez7NwOixRfxvr5D3Z1DfuscN//+t3L2BwJKAl01DRDc+xyMs2wcAx6Oz3Qxnn\n48owgJFn4bCb4MgyYcgT1BNKOM5cu0lPcoGgBIfNCEFS4HRYMOwJwuUR0OfyR9VcMgyQn21CQFAg\nSDJ4joXdYoDZxMNsYJFjM4WSKKc/5v/f3rnHSFHle/x76tXd093zAMYZ2IUZGAV2JUbgXhTvEgJh\nVzfgEh0VQdEN3k38w6hZo+gmGh9cXf9lr4mPaHZD3I3GrLD4RnHjY30ALurIZriyw+DIMM7A9MxU\nv+p17h+nqrqqX9MD09UwnE9iZOpx6lenz/nWr37nd06lswZUW7Tnttbj4nnT8NFX/e4206QgAKY3\nhH2i6y3P+c0AuL+HU66mm1BkERnNAAFh9y6LiEVk3PyL+fjs0AA+6RooqKeQLAAgoJQW/GZhe1/P\niVFIIlsikQAlxRmA77ddu6IDs6flyivXjsYT3Ym03VIPo1r3dS6455Hg5jd2x2uL18loa4kXbcCO\nPU+++AW+G1TZ508o3M48+4IYEmoWY6mc92eaFJRSgAAzp0fdslqaWMPP73CDiTRkSbATyi23Y7e3\nxnH7+kV4elcXvvz2JDTdBAh8M35EgZzxNEyBEMxoDLtC4hWd7wfVsnPtRYFAFAgANkWUgMCwLERC\nEuIRmXnFhoVIWEI6Y8Ci1PcFA0Jy5+umBVBAkQW02vWWzhoYGskAlPoEPxISEa9jCaGJsSwsSgvy\nPwkAUSQQCEF9VMbJ0WzR2VKE5O5FEIj7m6WzBhJqFpIowLC9eMd+6tSb5+EQlgVkdL+3L0sCfvVf\n7W67enpXl/tw9j6AYhEZv/7lQgCo+C0KKC7UpY7d8qtFPvGvBeUEl8dwpxgffdXv/tt5hQSAsZSO\ngeG020iLNeCeE6OwLNapHTSY+LZvBJSyDkgA9xhRJFAkf27iYCLjs8EtRzeRzhruSk6GZ3m9p3d1\n4eC3Q9Dsjkzyzp2MOe8WpRhMpAH7QWJRikzWwKmx7LgLm5gWdQWLCR6FQNg9DI9lYVrs4TOiasVX\nqrJDHwIh7n7NsDCYSLNZTbpVNIk+nTWh6xmIdupRsc/QUMC2n2JoJFuw32MCBMLKcKa3prMGTo5k\nQCl1Qyb5Ym3a9VYfVdAQC6FvMIkZjYWC9tFX/W6bGkzkxDbh+aS4mtbx4juH3cXFDdPCwDD7BPlN\nv5jvthuvSEuigNf/cbSgvRZrYwDw3ufH8OurFpSsh1rDsxSmGE5jB4CxtO7+2/B8tqRYY/3oq35I\nolDQqU2LwrSY50UpYFG7g9udNx6Rfcc3N4Z9NjiwmKvdoe3/GybFqJrFwHDan89YpXcuSlnRzj0M\nJtIFsdlSWJbfaxU8Hi8TXPsaJc43TDZTiRACatuSyhjQSoite13KppeWK7tSBIFdOxaRXTG0LMps\nooVi60ApMJrUkM4avu0JNYu+H1Qc+X4EB7oH8donRwHAfXNQPe0PYOGhhKphNKkxb5rmHlqvf9KL\nwUTatUvTTRiGhXTWwP/1jbhlOxRrYwBw4lRygrUSLFXzcC3LwsMPP4zu7m4oioJt27ahra3N3b93\n71489dRTkCQJnZ2duOGGG6plyjnNhOOxjRH3dc4RWYtSUAvoP5mEJArIaGbBeYOJtNsRvZQMOFFA\nEIWCwZ+fXTKzIN7LDi9ekEWZXcTj1wYV45qI45x/rONVOlRSFKXMY5wITmgHwBmv8yoKBK3T6jBr\nRhTf9JyCJAkghLiCXtYOMAGd3RxDRjeRULMYUTV3v0kp/vZRDwC4ISUj79tk8YiMwUS6aJvq+0HF\nxXOn4fi3QwWLyBACvPXZMbS3xt2239wYQe+JMd8gZzwio621fuIVEyBV83DfffddaJqGl156Cffc\ncw9+//vfu/t0XccTTzyBF154ATt27MBLL72EoaGhaplyzuLEqQaG2WCOExLo6jlZ8hxnsAVgHVS3\npx5aFoVlsiXqxlJaQRnNjRFEQhIUSch18Px3ey8E6JgVR1gRMZRIYyiRtgdfcjZksgYGE2l8P6j6\nPEDqGOdAWcaBE+d0rl3u8ucLjkeuGRb8En963LD6Qty+fhEuaIqguTGChpjihoqKQQhcj9yyKC6e\nNw0A83jzMUyKNz/txaK509G5ch5iERkgLIZNCMGwmmUPLs/FLMqmxaazBo4PqcjqRVbsIsx58L6Z\n/fiCGIbHsgWectus0xPcrp6TeHpXFx770z48vaurbB87E6omuAcOHMCKFSsAAJdeeim6urrcfUeO\nHMGcOXPQ0NAARVGwdOlS7Nu3r1qmnLOUilOV2g7AbexhWYBp+T1U034tjkfkgjIckWyMhSCJbC3R\nctMWKQWSGR09/aPua+qwquHpXd/gxT2HYZoWEqpmp3D5e1B+53ZWZ6KUQhbZYFZ7az1idbJPhCcD\nFkud1CIrv/YZnn+mw9uEEJ+HCMD3kCXIxZkJ7Acuix5BEtlg24HuQfy4OVrSlnTWRFfPSSyaOx2/\n/uVCNMVCLP5vx3MIcUJTLBRjmLmBwoHhTMn7lkQBg4nc/r4fVDTGQ5AkASCAZGep9B4fnXC9nI5j\nc7pULaSgqipisZj7tyiKMAwDkiRBVVXE47mRvGg0ClVVy5bX1FQHKW+AZiKUGzmsBZXYM6xqvkWU\nHRJJrez5q5rj2Nc9BJMCPf2jvpFtQSCIR5WCMlYta0dDQx3e+/wYjnw/YqcfCegfSpZ89U6oOggI\nTJPi1GgWsAeGkulcWILYbjLJCyp4O6xTPqWAZVq45KIZ0HQLfbZnPBlZCswG//WChKWuiTAtyxfz\nDQpRIJAlAc3NcXzR/QNSWRMnTqYgSwKiEQVJO946vSGEsZSOsZTuutMsS0NAY0yBLAk4/N1I2Wu9\ns68Pq5a1Y1VzHO/s60Myw77AIEsCYnUyxpI6zLxMDlEQSsbTKQUaYwpmt8TdNjusaqiPKqiPsiyO\nVMbAaFLDZ4dOgAJYs2wOliy4oKK62fdWd9F+tr97CKuWtVdURqVUTXBjsRiSyVwA27IsSJJUdF8y\nmfQJcDGGh1Onbcu5mhbWFFMKYqEAS70aL9G8d2CMvapb1OdZ6YaFsaSGttacDY49s6dFCkZ479r+\nIet8eQgE0AzT7ZSmZWcYiALbDua5WkX6UDmtIQA+/vI4WqbVsdQkysSpkvglIUwcQNmDpS4sYSyl\nsywDu/B8oQvq+1eUAqZpIVYnuwIUJJZF0RBV8P7nR91MFUkkSKZ1qGkdgu0lDtpeXlgR3Vg/GzQ1\nkVA1mCbFSDJbtt7+dfQU/vt/3oFuWBhNalBkEQ0xxfMNMopRT/xXIOXDV4QAsiTiPxbMcNust294\ns3EUWcSxE6N44W9dGKkg7xcA+gZGiz6EvxsYOy3dKOcMVS2ksGTJEnzwwQcAgIMHD2L+/Pnuvo6O\nDvT29iKRSEDTNOzfvx+LFy+ulilVp1rxH288ttz2Yq9EYykdCTXrjqY7EMKyF0qVnU9dWIIkENYp\nkHsdFwTiCznkMgBYyphuFBdbrx0F2+z/ZzQT/SeTbLDPKX8cOwlYWEMUCBRFRF1YQipjsFH4EucI\nQnADdAIBZFlAS1Nd0fSuM4EQQBKcNwkU/c1FkSBqh5JYvDSJZMZw79+igK5bAGGTKfIHVikFNM3E\n8FgWIVmEKJZWSItSDI9moaZ0WBaFpptIjGWRzhrsv4zhhnYIcvFhp0SB2CEMW4hjEbkgF9fbfr3Z\nOPXRXNZMudCbl+YiaW5se7ii8ydC1Tzcn//85/j4449x4403glKKxx9/HLt370YqlcKGDRtw//33\n47bbbgOlFJ2dnWhpaamWKVUlPwG7XK7rRHHOZ55rBs2N4aJZCsUaljMiLIkCIMJNZJclAfE6pWLb\n2lrioBS+vEjTtCDaExecPEtncMXJzx1PyUSBFOS/Ct7QgderrcAN/VFzFI/edhke+9M+WDSXNuTE\nDEFycUnnOtSaHA/XEYpS5UgiQSwiI5U1kNHHzwiY6LUJgB9dwMJ36ayBoUTajX0TQqDIbARf0y30\nDowhMZYt6WHrhlXyAWVaFIJA0BCV7firUfQ4b8aJIBBYFoUgEl+amOyEV+w2YNmDpqZFIUsiKKhv\nBl1+e/X2jRMnk5Ak1h7rwrJ7b96YbzmKTdRxtk82VRNcQRDw6KOP+rZ1dHS4/169ejVWr15drcsH\nRrmBrcmYO75o7vRxyymWkxgOSVBkEYJAYJiW23gjIQktTZXPxPnZJTMxMJz2Te/MZJln5GxT0zqb\nnUSZ1ygQArOMjLmTAIg/lulMenS8X4GwqaiO11YqjkvAOjCQS4tzUpIEQmDaZbhxbEJABALTsnNg\nJ6i4AmHX+cGeSAECyKJgj7jnCnNCHAIhGEvpCCmi7/4KyyWIRiSoKb0ik9yBLo9HGwlJbqpevufW\n3BjGt9+XnhzhUCYTEI3xEGRJwlWXteL1fxxFNm/WmSgQ3/0JtisrSexBLYkCmuIhAGzGn9cZUBQR\niy+aAd2wyjoYDk7f8M5sy7/fSqjUsZkM+EyzM6RUAnalT9fJwJt766WtNV4053YiT+5SjdG7rb2V\nTRl+cc9hd/qvQNgwGfUIEsBShxx9EAmBkSeyjkAB/skF9VEFI05aUR6KLLqdy/FWnKmqThmiKEA3\nTBBC0BgPsemsRLCvzcS33IwzbyhFkUWEQxIEQuypvs4x7CFCQCDlvXJblLI0KdteUJN52XbZsiSi\nvTWGtVe043//+jVL4Stys4IdjKaUuoNw3g8jAuwVPKEWCuvPLpnJYvtlEEjpQUWBMEFvbgxj3fJ2\ntLfG8fo/juL4yRTzYgWCSEhib0MeD1qRWeaJ86B32moT4ObROtN+T0fkJsNDrcSxmQy44J4hpcSu\nGvGfUpRqcGuXs4kmZ/rkLtUY87e1tcQLBjIc7wWEpfb8509m4Nu+EbejhUT2UtwUD7kLxLAZSVnm\nmStsLYetm5bgtU+OYvdHPdDNnEiLAkFjTHE7l2PT65/0oqc/txiLs7AMAfP+vaLQEGMj3c40V1EU\n3BQ65zphO30qlTHc2XXxOhkjqubzMAmAeFRGSBZ9YZiQIrpvBLGIjIT9MPCu6bD2CrYewdzWOL4b\nTAKeNS1EQYAgsNd6RWIx6khIwmAiXTDbLxKS0BRT7MVw/L97W0scoMCpEmGF+qhSdFDP+xbhretF\nc6cXXfzIO6XXsS9/QZ6wxxuvZGGbUnidgkRSc9fzOBuXneSCe4YEGf8pxXivREE1PG9dhEOS68HE\n6xS0tcR8i5QUs9XpsLIk+NJ0nAeH16vqG2RZLj++IIa1y9t89+gIQbHrAKyespqJ0ZTmijHAVvBy\nBNkhkzXQ3FSHZFpHc2PYs2RhBvNnN0KWBPyrdxjJtI5oRMZP2ppc27xhmKULmt3V0ryhmPo6pUAg\n1l7RXnIRF4ClK303MIbmxrCvXC+OeBf7jQaG05gVkjBiL0hkUYqwImJ6fRiyJKKliWBgOA3NsNjU\nY8qm/zoeeLlXfKd+e+0ZbIokYo7nt3eY7Nf3fPE/W+GrhU0CpQSkVvZMlMm0Z6J1Uex8r6AEszh3\n8VCJs22iS/6Ve6BUWjfljs3/vSZa55UcP5Eyz6b2fDbYwpdnPAt+BC/cnvJwe8rD7SnN2WBLTfJw\nORwOh+OHCy6Hw+EEBBdcDofDCQguuBwOhxMQXHA5HA4nILjgcjgcTkBwweVwOJyA4ILL4XA4AcEF\nl8PhcALinJlpxuFwOOc63MPlcDicgOCCy+FwOAHBBZfD4XACggsuh8PhBAQXXA6HwwkILrgcDocT\nEFNGcC3LwkMPPYQNGzZg8+bN6O3t9e3fu3cvOjs7sWHDBrz88ss1t+ePf/wj1q5di82bN2Pz5s34\n978LP6lSDb788kts3ry5YHvQ9TOePUHXj67ruPfee7Fp0yZcd911eO+993z7g66f8ewJun5M08QD\nDzyAG2+8ERs3bsThw4d9+4Oun/HsqVX/Ghc6RXj77bfp1q1bKaWU/vOf/6S33367u0/TNLpmzRqa\nSCRoNpul1157LR0cHKyZPZRSes8999Cvv/66qjbk8+yzz9J169bR66+/3re9FvVTzh5Kg6+fV155\nhW7bto1SSunw8DBduXKlu68W9VPOHkqDr589e/bQ+++/n1JK6aefflrz/lXOHkpr078qYcp4uAcO\nHMCKFSsAAJdeeim6urrcfUeOHMGcOXPQ0NAARVGwdOlS7Nu3r2b2AMA333yDZ599Fhs3bsQzzzxT\nVVsc5syZgz/84Q8F22tRP+XsAYKvn6uuugp33XUXANhf7s19erwW9VPOHiD4+lmzZg0ee+wxAMDx\n48dRX1/v7qtF/ZSzB6hN/6qEKfPVXlVVEYvF3L9FUYRhGJAkCaqqIh7PfWcoGo1CVdWa2QMAa9eu\nxaZNmxCLxXDHHXfg/fffx6pVq6pq05VXXom+vr6itgZdP+XsAYKvn2g0CoDVxZ133om7777b3VeL\n+ilnD1Cb9iNJErZu3Yo9e/Zg+/bt7vZatZ9S9gC1qZ9KmDIebiwWQzKZdP+2LMsVt/x9yWTS10CC\ntodSiltvvRXTpk2DoihYuXIlDh06VFV7ylGL+ilHreqnv78ft9xyC9avX4+rr77a3V6r+illTy3b\nz5NPPom3334bDz74IFKpFIDatp9i9pxt/cvLlBHcJUuW4IMPPgAAHDx4EPPnz3f3dXR0oLe3F4lE\nApqmYf/+/Vi8eHHN7FFVFevWrUMymQSlFJ999hkWLVpUVXvKUYv6KUct6mdoaAhbtmzBvffei+uu\nu863rxb1U86eWtTPzp073VfzSCQCQggEgclHLeqnnD1nW//yMmUWr7EsCw8//DAOHz4MSikef/xx\nHDp0CKlUChs2bMDevXvx1FNPgVKKzs5O3HTTTTW1Z+fOndixYwcURcHy5ctx5513VtUeh76+Pvz2\nt7/Fyy+/jN27d9esfsazJ+j62bZtG958803MmzfP3Xb99dcjnU7XpH7Gsyfo+kmlUnjggQcwNDQE\nwzDwm9/8Bul0umbtZzx7atW/xmPKCC6Hw+Gc7UyZkAKHw+Gc7XDB5XA4nIDggsvhcDgBwQWXw+Fw\nAoILLofD4QTElJlpxuE4PPLII/jiiy+g6zqOHTuGjo4OqKqKU6dO4a233kJLS4t77Oeff44nnngC\nr776KhYsWICFCxcCADRNw8yZM/Hggw9i7ty5tboVzhSDp4Vxpix9fX245ZZbsHfvXgDAfffdh4UL\nF2LLli3uMb/73e/w05/+FDfffDMWLFiA7u5ud99f/vIXPP/883jjjTegKErg9nOmHjykwDlv6Ozs\nxGuvveb+nc1m8fe//903bdbLxo0boSgKPvzww6BM5ExxuOByzhuWLVuG0dFRd23Ud999F5dffjka\nGhpKnnPRRRedPWupcs55uOByzhsIIbjmmmtcL3fXrl0F6xQUOyccDgdhHuc8gAsu57zimmuuwRtv\nvIGhoSH09PRg+fLlZY/v7u7GhRdeGJB1nKkOF1zOecWsWbMwa9YsbN++HevXrwchpOSxf/7zn0EI\nwWWXXRaghZypDE8L45x3XHvttbjvvvuwZ8+egn3r168HwFZ7mz17Np577jl32T8O50zhaWEcDocT\nEPzRzeFwOAHBBZfD4XACggsuh8PhBAQXXA6HwwkILrgcDocTEFxwORwOJyC44HI4HE5AcMHlcDic\ngPh/B9jobcxFgG4AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1c304f8e4a8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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PpWSEJBhNKagk3oUPoiTjRLMLnx7vQGNb/7DH9DyLBTNzcf28AhRkm9Vq6ogY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\n+clbKPsVzwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1c3081ac278>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "sns.set(style=\"darkgrid\")\n",
    "EMtype=['TFD','Fix Count']\n",
    "D_EM['GroupCode'] = D_EM['GroupCode'].astype(float)\n",
    "#_ = sns.lmplot(x='TFD',y='GroupCode',data=D_EM, logistic=True)\n",
    "\n",
    "for x in EMtype:\n",
    "    _ = sns.lmplot(x=x,y='GroupCode',data=D_EM, logistic=True,y_jitter=.02)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 173,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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77x+0eezAgQN8/vOf53Of+xxf+cpXSCSy3ynmEkWWuX7ZbL62eTmrF56fQdWd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\n+X/5WCfmDVNIogAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1c304fbab00>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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L8MmNFShxmNPy/qKsYGAoAouRh9Wko53hBJHlJBWAPXv24NFHH8U3v/lNzdef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\nMSHQo9sXCpm4RkoFkUHSYXOxw4yNy4tx67oybFx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      "text/plain": [
       "<matplotlib.figure.Figure at 0x1c3054c6eb8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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RYebLmT2v3+MgrJvIil2RZmMI069P0w3qAy7CMdt3LGG/XLIs4Sny+/kGoe69eWPB6JSp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\nq4InsqMAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1c3085c9710>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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YsGFDWguqZvLKsgxJliGKSjAIohQLCEGSIUsyRpoRudICSEaWZXS6Amhs6cW5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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1c3070ea0f0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "hues = ['b','r','g','m']\n",
    "\n",
    "for x in EMtype:\n",
    "    _ = sns.regplot(x=x,y='GroupCode',data=D_EM,y_jitter=.02, logistic=True, truncate=True)\n",
    "    _ = plt.ylabel('Depression Level')\n",
    "    plt.show()\n",
    "    \n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 269,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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t74/VasVDDz0EQO24PvHEEy4FUTQlJSV44okncO7cOQBqh8jX/c3Ildls1lPd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\nBT3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jzBj5BcvhthJIQbbdbIbl7FlxO933sVurjN1iwff/+78QICZGOPn55/4DLrha4Fxd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\nrkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1c3082ebf28>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "fig.set_size_inches(14,14)\n",
    "plt.subplots_adjust(hspace=.2)\n",
    "plt.suptitle('Depression - Eye Movement Metrics', fontsize=32)\n",
    "plt.subplot(221)\n",
    "_ = sns.set_style(\"white\")\n",
    "_ = sns.regplot(x='TFD',y='GroupCode',data=D_EM,y_jitter=.03, logistic=True, truncate=True, color='#cc0000')\n",
    "_ = plt.ylabel('Depression Level')\n",
    "_ = plt.yticks([0,1],['Low','High'])\n",
    "_ = sns.despine()\n",
    "_ = sns.set_context(\"poster\")\n",
    "\n",
    "plt.subplot(222)\n",
    "_ = sns.set_style(\"white\")\n",
    "_ = sns.regplot(x='Fix Count',y='GroupCode',data=D_EM,y_jitter=.03, logistic=True, truncate=True, color='#0000cc')\n",
    "_ = plt.ylabel('Depression Level')\n",
    "_ = plt.yticks([0,1],['Low','High'])\n",
    "_ = sns.despine()\n",
    "_ = sns.set_context(\"poster\")\n",
    "\n",
    "plt.subplot(223)\n",
    "_ = sns.set_style(\"white\")\n",
    "_ = sns.regplot(x='TVD',y='GroupCode',data=D_EM,y_jitter=.03, logistic=True, truncate=True, color='#990000')\n",
    "_ = plt.ylabel('Depression Level')\n",
    "_ = plt.yticks([0,1],['Low','High'])\n",
    "_ = sns.despine()\n",
    "_ = sns.set_context(\"poster\")\n",
    "\n",
    "plt.subplot(224)\n",
    "_ = sns.set_style(\"white\")\n",
    "_ = sns.regplot(x='Visit Count',y='GroupCode',data=D_EM,y_jitter=.03, logistic=True, truncate=True, color='#000099')\n",
    "_ = plt.ylabel('Depression Level')\n",
    "_ = plt.yticks([0,1],['Low','High'])\n",
    "_ = sns.despine()\n",
    "_ = sns.set_context(\"poster\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Scrap"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'HighD_TFD' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-1-f90a334642d6>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mHighD_TFD\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m: name 'HighD_TFD' is not defined"
     ]
    }
   ],
   "source": [
    "HighD_TFD"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>TFD_0_1</th>\n",
       "      <th>TFD_0_2</th>\n",
       "      <th>TFD_F</th>\n",
       "      <th>TFD_T</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1.02</td>\n",
       "      <td>1.98</td>\n",
       "      <td>2.51</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2.45</td>\n",
       "      <td>2.20</td>\n",
       "      <td>1.23</td>\n",
       "      <td>1.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>1.78</td>\n",
       "      <td>1.99</td>\n",
       "      <td>0.92</td>\n",
       "      <td>2.65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>1.65</td>\n",
       "      <td>1.81</td>\n",
       "      <td>2.75</td>\n",
       "      <td>1.53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2.40</td>\n",
       "      <td>2.72</td>\n",
       "      <td>1.57</td>\n",
       "      <td>1.93</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>1.52</td>\n",
       "      <td>2.58</td>\n",
       "      <td>1.78</td>\n",
       "      <td>1.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>0.45</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>2.03</td>\n",
       "      <td>2.12</td>\n",
       "      <td>2.95</td>\n",
       "      <td>0.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>2.38</td>\n",
       "      <td>1.43</td>\n",
       "      <td>1.68</td>\n",
       "      <td>0.77</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>1.60</td>\n",
       "      <td>1.25</td>\n",
       "      <td>2.16</td>\n",
       "      <td>1.12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>0.70</td>\n",
       "      <td>2.96</td>\n",
       "      <td>1.22</td>\n",
       "      <td>3.58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>1.60</td>\n",
       "      <td>2.73</td>\n",
       "      <td>1.40</td>\n",
       "      <td>1.05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>1.65</td>\n",
       "      <td>1.03</td>\n",
       "      <td>0.93</td>\n",
       "      <td>1.23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>1.13</td>\n",
       "      <td>3.23</td>\n",
       "      <td>2.11</td>\n",
       "      <td>2.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    TFD_0_1  TFD_0_2  TFD_F  TFD_T\n",
       "8      1.02     1.98   2.51   1.00\n",
       "9      2.45     2.20   1.23   1.70\n",
       "11     1.78     1.99   0.92   2.65\n",
       "13     1.65     1.81   2.75   1.53\n",
       "16     2.40     2.72   1.57   1.93\n",
       "31     1.52     2.58   1.78   1.03\n",
       "36     0.45     0.00   0.00   0.32\n",
       "37     2.03     2.12   2.95   0.70\n",
       "39     2.38     1.43   1.68   0.77\n",
       "41     1.60     1.25   2.16   1.12\n",
       "49     0.70     2.96   1.22   3.58\n",
       "53     1.60     2.73   1.40   1.05\n",
       "58     1.65     1.03   0.93   1.23\n",
       "59     1.13     3.23   2.11   2.00"
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_2x2['001'].loc[HighA,:].iloc[:,[0,1,2,3]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "A_TFD.to_csv('A_TFD.csv')\n",
    "A_FC.to_csv('A_FC.csv')\n",
    "A_TVD.to_csv('A_TVD.csv')\n",
    "A_VC.to_csv('A_VC.csv')\n",
    "D_TFD.to_csv('D_TFD.csv')\n",
    "D_FC.to_csv('D_FC.csv')\n",
    "D_TVD.to_csv('D_TVD.csv')\n",
    "D_VC.to_csv('D_VC.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
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