eye_timeseries.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "def make_timeseries(eyearray, condnum, phase):\n",
    "    trialorder = phase + ' order'\n",
    "    eyearray[['start', 'end', trialorder]] = eyearray[['start', 'end', trialorder]].astype(int)\n",
    "    alltimearray = pd.DataFrame(index=range(5500), columns=range(0,129))\n",
    "    cortimearray = pd.DataFrame(index=range(5500), columns=range(0,129))\n",
    "    fix = eyearray[(eyearray['event']=='EFIX') & (eyearray['cond']==condnum)]\n",
    "    offmask = (fix['startloc'] == 'offscreen')\n",
    "    fix.loc[offmask, 'startloc'] = np.nan\n",
    "\n",
    "    for trial, ldf in fix.groupby(by=[trialorder]):\n",
    "        \n",
    "        for item, trialinfo in ldf.iterrows():\n",
    "            start = trialinfo['start']\n",
    "            end = trialinfo['end']\n",
    "            loc = trialinfo['startloc']\n",
    "            accuracy = (trialinfo['recog loc'] == 1)\n",
    "\n",
    "            alltimearray.iloc[start:end, trial] = loc\n",
    "            \n",
    "            if not accuracy:\n",
    "                continue\n",
    "            cortimearray.iloc[start:end, trial] = loc\n",
    "\n",
    "    alltimearray.dropna(axis=1, how='all', inplace = True)  \n",
    "    cortimearray.dropna(axis=1, how='all', inplace = True)  \n",
    "    return alltimearray, cortimearray"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_timeseries_props(timearray, sub):\n",
    "    numtrials = timearray.shape[1]\n",
    "    props = pd.DataFrame(index=range(timearray.shape[0]))\n",
    "\n",
    "    alltot = timearray.count(axis=1)\n",
    "    props['total_fix'] = alltot\n",
    "\n",
    "    objlist = ['loc1start', 'loc2start', 'loc3start', 'screen']\n",
    "    \n",
    "    for loc in objlist:\n",
    "        objset = timearray[timearray==loc].count(axis=1)\n",
    "        props[loc] = objset/alltot\n",
    "    \n",
    "    props.reset_index(inplace=True)\n",
    "    props.rename(columns={'index':'time'}, inplace=True)    \n",
    "    \n",
    "    props['sub'] = sub\n",
    "    \n",
    "    return props"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "data/ec105refresheyebehave.csv\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/pandas/core/indexing.py:537: SettingWithCopyWarning: \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",
      "  self.obj[item] = s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "data/ec106refresheyebehave.csv\n",
      "data/ec107refresheyebehave.csv\n",
      "data/ec108refresheyebehave.csv\n",
      "data/ec109refresheyebehave.csv\n"
     ]
    }
   ],
   "source": [
    "sublist=['ec105', 'ec106', 'ec107', 'ec108', 'ec109']\n",
    "phase='refresh'\n",
    "allprops = pd.DataFrame()\n",
    "corprops = pd.DataFrame()\n",
    "for sub in sublist:\n",
    "    file='data/' + sub + phase + 'eyebehave.csv'\n",
    "    print(file)\n",
    "    eye=pd.read_csv(file, index_col=0)\n",
    "    \n",
    "    alltimearray, cortimearray = make_timeseries(eye, 1, phase)\n",
    "    \n",
    "    corprops_sub = get_timeseries_props(cortimearray, sub)\n",
    "    allprops_sub = get_timeseries_props(alltimearray, sub)\n",
    "    \n",
    "    allprops = pd.concat([allprops, allprops_sub])\n",
    "    corprops = pd.concat([corprops, corprops_sub])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
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       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1016</th>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>...</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1017</th>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>...</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1018</th>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>...</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1019</th>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>...</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1020</th>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>NaN</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>...</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1021</th>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>NaN</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>...</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1022</th>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>NaN</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>...</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1023</th>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>NaN</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>...</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1024</th>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>NaN</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>...</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1025</th>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>NaN</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>...</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1026</th>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>NaN</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>...</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1027</th>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>NaN</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>...</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1028</th>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>NaN</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>...</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1029</th>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>NaN</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>...</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</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>2970</th>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>NaN</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>NaN</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>...</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>NaN</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>screen</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>screen</td>\n",
       "      <td>screen</td>\n",
       "      <td>NaN</td>\n",
       "      <td>screen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2971</th>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>NaN</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>NaN</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>...</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>NaN</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>screen</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>screen</td>\n",
       "      <td>screen</td>\n",
       "      <td>NaN</td>\n",
       "      <td>screen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2972</th>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>NaN</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>...</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>NaN</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>screen</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>screen</td>\n",
       "      <td>screen</td>\n",
       "      <td>NaN</td>\n",
       "      <td>screen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2973</th>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>NaN</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>...</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>NaN</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>screen</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>screen</td>\n",
       "      <td>screen</td>\n",
       "      <td>NaN</td>\n",
       "      <td>screen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2974</th>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>NaN</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>...</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>NaN</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>screen</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>screen</td>\n",
       "      <td>screen</td>\n",
       "      <td>NaN</td>\n",
       "      <td>screen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2975</th>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>NaN</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>...</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>NaN</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>screen</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>screen</td>\n",
       "      <td>screen</td>\n",
       "      <td>NaN</td>\n",
       "      <td>screen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2976</th>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>NaN</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>...</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>NaN</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>screen</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>screen</td>\n",
       "      <td>screen</td>\n",
       "      <td>NaN</td>\n",
       "      <td>screen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2977</th>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>NaN</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>...</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>NaN</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>screen</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>screen</td>\n",
       "      <td>screen</td>\n",
       "      <td>NaN</td>\n",
       "      <td>screen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2978</th>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>NaN</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>...</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>NaN</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>screen</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>screen</td>\n",
       "      <td>screen</td>\n",
       "      <td>NaN</td>\n",
       "      <td>screen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2979</th>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>NaN</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>...</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>NaN</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>screen</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>screen</td>\n",
       "      <td>screen</td>\n",
       "      <td>NaN</td>\n",
       "      <td>screen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2980</th>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>NaN</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>...</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>NaN</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>screen</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>screen</td>\n",
       "      <td>screen</td>\n",
       "      <td>NaN</td>\n",
       "      <td>screen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2981</th>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>NaN</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>...</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>NaN</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>screen</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>screen</td>\n",
       "      <td>screen</td>\n",
       "      <td>NaN</td>\n",
       "      <td>screen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2982</th>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>NaN</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>...</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>NaN</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>screen</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>screen</td>\n",
       "      <td>screen</td>\n",
       "      <td>NaN</td>\n",
       "      <td>screen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2983</th>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>NaN</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>...</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>NaN</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>screen</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>screen</td>\n",
       "      <td>screen</td>\n",
       "      <td>NaN</td>\n",
       "      <td>screen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2984</th>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>NaN</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>...</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>NaN</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>screen</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>screen</td>\n",
       "      <td>screen</td>\n",
       "      <td>NaN</td>\n",
       "      <td>screen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2985</th>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>NaN</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>...</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>NaN</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>screen</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>screen</td>\n",
       "      <td>screen</td>\n",
       "      <td>NaN</td>\n",
       "      <td>screen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2986</th>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>NaN</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>...</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>NaN</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>screen</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>screen</td>\n",
       "      <td>screen</td>\n",
       "      <td>NaN</td>\n",
       "      <td>screen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2987</th>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>NaN</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>...</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>NaN</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>screen</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>screen</td>\n",
       "      <td>screen</td>\n",
       "      <td>NaN</td>\n",
       "      <td>screen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2988</th>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>NaN</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>...</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>NaN</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>screen</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>screen</td>\n",
       "      <td>screen</td>\n",
       "      <td>NaN</td>\n",
       "      <td>screen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2989</th>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>NaN</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>...</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>NaN</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>screen</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>screen</td>\n",
       "      <td>screen</td>\n",
       "      <td>NaN</td>\n",
       "      <td>screen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2990</th>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>NaN</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>...</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>NaN</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>screen</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>screen</td>\n",
       "      <td>screen</td>\n",
       "      <td>NaN</td>\n",
       "      <td>screen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2991</th>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>NaN</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>...</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>NaN</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>screen</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>screen</td>\n",
       "      <td>screen</td>\n",
       "      <td>NaN</td>\n",
       "      <td>screen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2992</th>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>...</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>NaN</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>screen</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>screen</td>\n",
       "      <td>screen</td>\n",
       "      <td>NaN</td>\n",
       "      <td>screen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2993</th>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>...</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>NaN</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>screen</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>screen</td>\n",
       "      <td>screen</td>\n",
       "      <td>NaN</td>\n",
       "      <td>screen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2994</th>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>...</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>NaN</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>screen</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>screen</td>\n",
       "      <td>screen</td>\n",
       "      <td>NaN</td>\n",
       "      <td>screen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2995</th>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>...</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>NaN</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>screen</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>screen</td>\n",
       "      <td>screen</td>\n",
       "      <td>NaN</td>\n",
       "      <td>screen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2996</th>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>...</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>NaN</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>screen</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>screen</td>\n",
       "      <td>screen</td>\n",
       "      <td>NaN</td>\n",
       "      <td>screen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2997</th>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>...</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>NaN</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>screen</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>screen</td>\n",
       "      <td>screen</td>\n",
       "      <td>NaN</td>\n",
       "      <td>screen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2998</th>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>...</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>NaN</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>screen</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>screen</td>\n",
       "      <td>screen</td>\n",
       "      <td>NaN</td>\n",
       "      <td>screen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2999</th>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc3start</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>...</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>NaN</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>screen</td>\n",
       "      <td>loc2start</td>\n",
       "      <td>loc1start</td>\n",
       "      <td>screen</td>\n",
       "      <td>screen</td>\n",
       "      <td>NaN</td>\n",
       "      <td>screen</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2000 rows × 39 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            4          6          9          20         22         23   \\\n",
       "1000  loc2start  loc2start  loc2start  loc2start  loc2start  loc2start   \n",
       "1001  loc2start  loc2start  loc2start  loc2start  loc2start  loc2start   \n",
       "1002  loc2start  loc2start  loc2start  loc2start  loc2start  loc2start   \n",
       "1003  loc2start  loc2start  loc2start  loc2start  loc2start  loc2start   \n",
       "1004  loc2start  loc2start  loc2start  loc2start  loc2start  loc2start   \n",
       "1005  loc2start  loc2start  loc2start  loc2start  loc2start  loc2start   \n",
       "1006  loc2start  loc2start  loc2start  loc2start  loc2start  loc2start   \n",
       "1007  loc2start  loc2start  loc2start  loc2start  loc2start  loc2start   \n",
       "1008  loc2start  loc2start  loc2start  loc2start  loc2start  loc2start   \n",
       "1009  loc2start  loc2start  loc2start  loc2start  loc2start  loc2start   \n",
       "1010  loc2start  loc2start  loc2start  loc2start  loc2start  loc2start   \n",
       "1011  loc2start  loc2start  loc2start  loc2start  loc2start  loc2start   \n",
       "1012  loc2start  loc2start  loc2start  loc2start  loc2start  loc2start   \n",
       "1013  loc2start  loc2start  loc2start  loc2start  loc2start  loc2start   \n",
       "1014  loc2start  loc2start  loc2start  loc2start  loc2start  loc2start   \n",
       "1015  loc2start  loc2start  loc2start  loc2start  loc2start  loc2start   \n",
       "1016  loc2start  loc2start  loc2start  loc2start  loc2start  loc2start   \n",
       "1017  loc2start  loc2start  loc2start  loc2start  loc2start  loc2start   \n",
       "1018  loc2start  loc2start  loc2start  loc2start  loc2start  loc2start   \n",
       "1019  loc2start  loc2start  loc2start  loc2start  loc2start  loc2start   \n",
       "1020  loc2start  loc2start  loc2start  loc2start  loc2start  loc2start   \n",
       "1021  loc2start  loc2start  loc2start  loc2start  loc2start  loc2start   \n",
       "1022  loc2start  loc2start  loc2start  loc2start  loc2start  loc2start   \n",
       "1023  loc2start  loc2start  loc2start  loc2start  loc2start  loc2start   \n",
       "1024  loc2start  loc2start  loc2start  loc2start  loc2start  loc2start   \n",
       "1025  loc2start  loc2start  loc2start  loc2start  loc2start  loc2start   \n",
       "1026  loc2start  loc2start  loc2start  loc2start  loc2start  loc2start   \n",
       "1027  loc2start  loc2start  loc2start  loc2start  loc2start  loc2start   \n",
       "1028  loc2start  loc2start  loc2start  loc2start  loc2start  loc2start   \n",
       "1029  loc2start  loc2start  loc2start  loc2start  loc2start  loc2start   \n",
       "...         ...        ...        ...        ...        ...        ...   \n",
       "2970  loc2start  loc2start  loc3start  loc2start        NaN  loc3start   \n",
       "2971  loc2start  loc2start  loc3start  loc2start        NaN  loc3start   \n",
       "2972  loc2start  loc2start  loc3start  loc2start        NaN  loc3start   \n",
       "2973  loc2start  loc2start  loc3start  loc2start        NaN  loc3start   \n",
       "2974  loc2start  loc2start  loc3start  loc2start        NaN  loc3start   \n",
       "2975  loc2start  loc2start  loc3start  loc2start        NaN  loc3start   \n",
       "2976  loc2start  loc2start  loc3start  loc2start        NaN  loc3start   \n",
       "2977  loc2start  loc2start  loc3start  loc2start        NaN  loc3start   \n",
       "2978  loc2start  loc2start  loc3start  loc2start        NaN  loc3start   \n",
       "2979  loc2start  loc2start  loc3start  loc2start        NaN  loc3start   \n",
       "2980  loc2start  loc2start  loc3start  loc2start        NaN  loc3start   \n",
       "2981  loc2start  loc2start  loc3start  loc2start        NaN  loc3start   \n",
       "2982  loc2start  loc2start  loc3start  loc2start        NaN  loc3start   \n",
       "2983  loc2start  loc2start  loc3start  loc2start        NaN  loc3start   \n",
       "2984  loc2start  loc2start  loc3start  loc2start        NaN  loc3start   \n",
       "2985  loc2start  loc2start  loc3start  loc2start        NaN  loc3start   \n",
       "2986  loc2start  loc2start  loc3start  loc2start        NaN  loc3start   \n",
       "2987  loc2start  loc2start  loc3start  loc2start        NaN  loc3start   \n",
       "2988  loc2start  loc2start  loc3start  loc2start        NaN  loc3start   \n",
       "2989  loc2start  loc2start  loc3start  loc2start        NaN  loc3start   \n",
       "2990  loc2start  loc2start  loc3start  loc2start        NaN  loc3start   \n",
       "2991  loc2start  loc2start  loc3start  loc2start        NaN  loc3start   \n",
       "2992  loc2start  loc2start  loc3start  loc2start  loc1start  loc3start   \n",
       "2993  loc2start  loc2start  loc3start  loc2start  loc1start  loc3start   \n",
       "2994  loc2start  loc2start  loc3start  loc2start  loc1start  loc3start   \n",
       "2995  loc2start  loc2start  loc3start  loc2start  loc1start  loc3start   \n",
       "2996  loc2start  loc2start  loc3start  loc2start  loc1start  loc3start   \n",
       "2997  loc2start  loc2start  loc3start  loc2start  loc1start  loc3start   \n",
       "2998  loc2start  loc2start  loc3start  loc2start  loc1start  loc3start   \n",
       "2999  loc2start  loc2start  loc3start  loc2start  loc1start  loc3start   \n",
       "\n",
       "            26         27         28         33     ...            86   \\\n",
       "1000  loc2start  loc2start  loc2start  loc2start    ...      loc2start   \n",
       "1001  loc2start  loc2start  loc2start  loc2start    ...      loc2start   \n",
       "1002  loc2start  loc2start  loc2start  loc2start    ...      loc2start   \n",
       "1003  loc2start  loc2start  loc2start        NaN    ...      loc2start   \n",
       "1004  loc2start  loc2start  loc2start        NaN    ...      loc2start   \n",
       "1005  loc2start  loc2start  loc2start        NaN    ...      loc2start   \n",
       "1006  loc2start  loc2start  loc2start        NaN    ...      loc2start   \n",
       "1007  loc2start  loc2start  loc2start        NaN    ...      loc2start   \n",
       "1008  loc2start  loc2start  loc2start        NaN    ...      loc2start   \n",
       "1009  loc2start  loc2start  loc2start        NaN    ...      loc2start   \n",
       "1010  loc2start  loc2start  loc2start        NaN    ...      loc2start   \n",
       "1011  loc2start  loc2start  loc2start        NaN    ...      loc2start   \n",
       "1012  loc2start  loc2start  loc2start        NaN    ...      loc2start   \n",
       "1013  loc2start  loc2start  loc2start        NaN    ...      loc2start   \n",
       "1014  loc2start  loc2start  loc2start        NaN    ...      loc2start   \n",
       "1015  loc2start  loc2start  loc2start  loc2start    ...      loc2start   \n",
       "1016  loc2start  loc2start  loc2start  loc2start    ...      loc2start   \n",
       "1017  loc2start  loc2start  loc2start  loc2start    ...      loc2start   \n",
       "1018  loc2start  loc2start  loc2start  loc2start    ...      loc2start   \n",
       "1019  loc2start  loc2start  loc2start  loc2start    ...      loc2start   \n",
       "1020  loc2start        NaN  loc2start  loc2start    ...      loc2start   \n",
       "1021  loc2start        NaN  loc2start  loc2start    ...      loc2start   \n",
       "1022  loc2start        NaN  loc2start  loc2start    ...      loc2start   \n",
       "1023  loc2start        NaN  loc2start  loc2start    ...      loc2start   \n",
       "1024  loc2start        NaN  loc2start  loc2start    ...      loc2start   \n",
       "1025  loc2start        NaN  loc2start  loc2start    ...      loc2start   \n",
       "1026  loc2start        NaN  loc2start  loc2start    ...      loc2start   \n",
       "1027  loc2start        NaN  loc2start  loc2start    ...      loc2start   \n",
       "1028  loc2start        NaN  loc2start  loc2start    ...      loc2start   \n",
       "1029  loc2start        NaN  loc2start  loc2start    ...      loc2start   \n",
       "...         ...        ...        ...        ...    ...            ...   \n",
       "2970  loc3start        NaN  loc2start  loc2start    ...      loc2start   \n",
       "2971  loc3start        NaN  loc2start  loc2start    ...      loc2start   \n",
       "2972  loc3start  loc1start  loc2start  loc2start    ...      loc2start   \n",
       "2973  loc3start  loc1start  loc2start  loc2start    ...      loc2start   \n",
       "2974  loc3start  loc1start  loc2start  loc2start    ...      loc2start   \n",
       "2975  loc3start  loc1start  loc2start  loc2start    ...      loc2start   \n",
       "2976  loc3start  loc1start  loc2start  loc2start    ...      loc2start   \n",
       "2977  loc3start  loc1start  loc2start  loc2start    ...      loc2start   \n",
       "2978  loc3start  loc1start  loc2start  loc2start    ...      loc2start   \n",
       "2979  loc3start  loc1start  loc2start  loc2start    ...      loc2start   \n",
       "2980  loc3start  loc1start  loc2start  loc2start    ...      loc2start   \n",
       "2981  loc3start  loc1start  loc2start  loc2start    ...      loc2start   \n",
       "2982  loc3start  loc1start  loc2start  loc2start    ...      loc2start   \n",
       "2983  loc3start  loc1start  loc2start  loc2start    ...      loc2start   \n",
       "2984  loc3start  loc1start  loc2start  loc2start    ...      loc2start   \n",
       "2985  loc3start  loc1start  loc2start  loc2start    ...      loc2start   \n",
       "2986  loc3start  loc1start  loc2start  loc2start    ...      loc2start   \n",
       "2987  loc3start  loc1start  loc2start  loc2start    ...      loc2start   \n",
       "2988  loc3start  loc1start  loc2start  loc2start    ...      loc2start   \n",
       "2989  loc3start  loc1start  loc2start  loc2start    ...      loc2start   \n",
       "2990  loc3start  loc1start  loc2start  loc2start    ...      loc2start   \n",
       "2991  loc3start  loc1start  loc2start  loc2start    ...      loc2start   \n",
       "2992  loc3start  loc1start  loc2start  loc2start    ...      loc2start   \n",
       "2993  loc3start  loc1start  loc2start  loc2start    ...      loc2start   \n",
       "2994  loc3start  loc1start  loc2start  loc2start    ...      loc2start   \n",
       "2995  loc3start  loc1start  loc2start  loc2start    ...      loc2start   \n",
       "2996  loc3start  loc1start  loc2start  loc2start    ...      loc2start   \n",
       "2997  loc3start  loc1start  loc2start  loc2start    ...      loc2start   \n",
       "2998  loc3start  loc1start  loc2start  loc2start    ...      loc2start   \n",
       "2999  loc3start  loc1start  loc2start  loc2start    ...      loc2start   \n",
       "\n",
       "            89         92         100        103        111        112  \\\n",
       "1000  loc2start  loc2start  loc2start  loc2start  loc2start  loc2start   \n",
       "1001  loc2start  loc2start  loc2start  loc2start  loc2start  loc2start   \n",
       "1002  loc2start  loc2start  loc2start  loc2start  loc2start  loc2start   \n",
       "1003  loc2start  loc2start  loc2start  loc2start  loc2start  loc2start   \n",
       "1004  loc2start  loc2start  loc2start  loc2start  loc2start  loc2start   \n",
       "1005  loc2start  loc2start  loc2start  loc2start  loc2start  loc2start   \n",
       "1006  loc2start  loc2start  loc2start  loc2start  loc2start  loc2start   \n",
       "1007  loc2start  loc2start  loc2start  loc2start  loc2start  loc2start   \n",
       "1008  loc2start  loc2start  loc2start  loc2start  loc2start  loc2start   \n",
       "1009  loc2start  loc2start  loc2start  loc2start  loc2start  loc2start   \n",
       "1010  loc2start  loc2start  loc2start  loc2start  loc2start  loc2start   \n",
       "1011  loc2start  loc2start  loc2start  loc2start  loc2start  loc2start   \n",
       "1012  loc2start  loc2start  loc2start  loc2start  loc2start  loc2start   \n",
       "1013  loc2start  loc2start  loc2start  loc2start  loc2start  loc2start   \n",
       "1014  loc2start  loc2start  loc2start  loc2start  loc2start  loc2start   \n",
       "1015  loc2start  loc2start  loc2start  loc2start  loc2start  loc2start   \n",
       "1016  loc2start  loc2start  loc2start  loc2start  loc2start  loc2start   \n",
       "1017  loc2start  loc2start  loc2start  loc2start  loc2start  loc2start   \n",
       "1018  loc2start  loc2start  loc2start  loc2start  loc2start  loc2start   \n",
       "1019  loc2start  loc2start  loc2start  loc2start  loc2start  loc2start   \n",
       "1020  loc2start  loc2start  loc2start  loc2start  loc2start  loc2start   \n",
       "1021  loc2start  loc2start  loc2start  loc2start  loc2start  loc2start   \n",
       "1022  loc2start  loc2start  loc2start  loc2start  loc2start  loc2start   \n",
       "1023  loc2start  loc2start  loc2start  loc2start  loc2start  loc2start   \n",
       "1024  loc2start  loc2start  loc2start  loc2start  loc2start  loc2start   \n",
       "1025  loc2start  loc2start  loc2start  loc2start  loc2start  loc2start   \n",
       "1026  loc2start  loc2start  loc2start  loc2start  loc2start  loc2start   \n",
       "1027  loc2start  loc2start  loc2start  loc2start  loc2start  loc2start   \n",
       "1028  loc2start  loc2start  loc2start  loc2start  loc2start  loc2start   \n",
       "1029  loc2start  loc2start  loc2start  loc2start  loc2start  loc2start   \n",
       "...         ...        ...        ...        ...        ...        ...   \n",
       "2970        NaN  loc1start     screen  loc2start  loc1start     screen   \n",
       "2971        NaN  loc1start     screen  loc2start  loc1start     screen   \n",
       "2972        NaN  loc1start     screen  loc2start  loc1start     screen   \n",
       "2973        NaN  loc1start     screen  loc2start  loc1start     screen   \n",
       "2974        NaN  loc1start     screen  loc2start  loc1start     screen   \n",
       "2975        NaN  loc1start     screen  loc2start  loc1start     screen   \n",
       "2976        NaN  loc1start     screen  loc2start  loc1start     screen   \n",
       "2977        NaN  loc1start     screen  loc2start  loc1start     screen   \n",
       "2978        NaN  loc1start     screen  loc2start  loc1start     screen   \n",
       "2979        NaN  loc1start     screen  loc2start  loc1start     screen   \n",
       "2980        NaN  loc1start     screen  loc2start  loc1start     screen   \n",
       "2981        NaN  loc1start     screen  loc2start  loc1start     screen   \n",
       "2982        NaN  loc1start     screen  loc2start  loc1start     screen   \n",
       "2983        NaN  loc1start     screen  loc2start  loc1start     screen   \n",
       "2984        NaN  loc1start     screen  loc2start  loc1start     screen   \n",
       "2985        NaN  loc1start     screen  loc2start  loc1start     screen   \n",
       "2986        NaN  loc1start     screen  loc2start  loc1start     screen   \n",
       "2987        NaN  loc1start     screen  loc2start  loc1start     screen   \n",
       "2988        NaN  loc1start     screen  loc2start  loc1start     screen   \n",
       "2989        NaN  loc1start     screen  loc2start  loc1start     screen   \n",
       "2990        NaN  loc1start     screen  loc2start  loc1start     screen   \n",
       "2991        NaN  loc1start     screen  loc2start  loc1start     screen   \n",
       "2992        NaN  loc1start     screen  loc2start  loc1start     screen   \n",
       "2993        NaN  loc1start     screen  loc2start  loc1start     screen   \n",
       "2994        NaN  loc1start     screen  loc2start  loc1start     screen   \n",
       "2995        NaN  loc1start     screen  loc2start  loc1start     screen   \n",
       "2996        NaN  loc1start     screen  loc2start  loc1start     screen   \n",
       "2997        NaN  loc1start     screen  loc2start  loc1start     screen   \n",
       "2998        NaN  loc1start     screen  loc2start  loc1start     screen   \n",
       "2999        NaN  loc1start     screen  loc2start  loc1start     screen   \n",
       "\n",
       "            116        119        123  \n",
       "1000  loc2start  loc2start  loc2start  \n",
       "1001  loc2start  loc2start  loc2start  \n",
       "1002  loc2start  loc2start  loc2start  \n",
       "1003  loc2start  loc2start  loc2start  \n",
       "1004  loc2start  loc2start  loc2start  \n",
       "1005  loc2start  loc2start  loc2start  \n",
       "1006  loc2start  loc2start  loc2start  \n",
       "1007  loc2start  loc2start  loc2start  \n",
       "1008  loc2start  loc2start  loc2start  \n",
       "1009  loc2start  loc2start  loc2start  \n",
       "1010  loc2start  loc2start  loc2start  \n",
       "1011  loc2start  loc2start  loc2start  \n",
       "1012  loc2start  loc2start  loc2start  \n",
       "1013  loc2start  loc2start  loc2start  \n",
       "1014  loc2start  loc2start  loc2start  \n",
       "1015  loc2start  loc2start  loc2start  \n",
       "1016  loc2start  loc2start  loc2start  \n",
       "1017  loc2start  loc2start  loc2start  \n",
       "1018  loc2start  loc2start  loc2start  \n",
       "1019  loc2start  loc2start  loc2start  \n",
       "1020  loc2start  loc2start  loc2start  \n",
       "1021  loc2start  loc2start  loc2start  \n",
       "1022  loc2start  loc2start  loc2start  \n",
       "1023  loc2start  loc2start  loc2start  \n",
       "1024  loc2start  loc2start  loc2start  \n",
       "1025  loc2start  loc2start  loc2start  \n",
       "1026  loc2start  loc2start  loc2start  \n",
       "1027  loc2start  loc2start  loc2start  \n",
       "1028  loc2start  loc2start  loc2start  \n",
       "1029  loc2start  loc2start  loc2start  \n",
       "...         ...        ...        ...  \n",
       "2970     screen        NaN     screen  \n",
       "2971     screen        NaN     screen  \n",
       "2972     screen        NaN     screen  \n",
       "2973     screen        NaN     screen  \n",
       "2974     screen        NaN     screen  \n",
       "2975     screen        NaN     screen  \n",
       "2976     screen        NaN     screen  \n",
       "2977     screen        NaN     screen  \n",
       "2978     screen        NaN     screen  \n",
       "2979     screen        NaN     screen  \n",
       "2980     screen        NaN     screen  \n",
       "2981     screen        NaN     screen  \n",
       "2982     screen        NaN     screen  \n",
       "2983     screen        NaN     screen  \n",
       "2984     screen        NaN     screen  \n",
       "2985     screen        NaN     screen  \n",
       "2986     screen        NaN     screen  \n",
       "2987     screen        NaN     screen  \n",
       "2988     screen        NaN     screen  \n",
       "2989     screen        NaN     screen  \n",
       "2990     screen        NaN     screen  \n",
       "2991     screen        NaN     screen  \n",
       "2992     screen        NaN     screen  \n",
       "2993     screen        NaN     screen  \n",
       "2994     screen        NaN     screen  \n",
       "2995     screen        NaN     screen  \n",
       "2996     screen        NaN     screen  \n",
       "2997     screen        NaN     screen  \n",
       "2998     screen        NaN     screen  \n",
       "2999     screen        NaN     screen  \n",
       "\n",
       "[2000 rows x 39 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cortimearray.iloc[1000:3000]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "loclist = ['loc1start', 'loc2start', 'loc3start']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "def downsample_timeseries(timearray, newsamplerate):\n",
    "    alltimes = timearray.time.unique()\n",
    "    times_to_keep = alltimes[0:len(alltimes):newsamplerate]\n",
    "    downsampled = timearray.set_index('time')\n",
    "    downsampled = downsampled.loc[times_to_keep,:]\n",
    "    return downsampled\n",
    "\n",
    "corprops100 = downsample_timeseries(corprops, 100)\n",
    "allprops100 = downsample_timeseries(allprops, 100)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1195d1a20>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data = corprops100[loclist]\n",
    "sns.lineplot(data=data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x11be8f668>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data = allprops100[loclist]\n",
    "sns.lineplot(data=data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}