figs_offline/Table_part_characteristics.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Individual participant characteristics"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Creates table of individual participant characteristics (good/total electrodes, hemisphere implanted, recording days used, etc.)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from plot_utils import load_data_characteristics, plot_ecog_descript"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Generate table"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Participant</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Age (years)</th>\n",
       "      <th>Recording days used</th>\n",
       "      <th>Hemisphere implanted</th>\n",
       "      <th>Surface electrodes: # good / total</th>\n",
       "      <th>Depth electrodes: # good / total</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>P01</td>\n",
       "      <td>M</td>\n",
       "      <td>44</td>\n",
       "      <td>4</td>\n",
       "      <td>L</td>\n",
       "      <td>79 / 86</td>\n",
       "      <td>6 / 8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>P02</td>\n",
       "      <td>M</td>\n",
       "      <td>20</td>\n",
       "      <td>4</td>\n",
       "      <td>R</td>\n",
       "      <td>69 / 70</td>\n",
       "      <td>16 / 16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>P03</td>\n",
       "      <td>M</td>\n",
       "      <td>33</td>\n",
       "      <td>4</td>\n",
       "      <td>L</td>\n",
       "      <td>79 / 80</td>\n",
       "      <td>0 / 16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>P04</td>\n",
       "      <td>F</td>\n",
       "      <td>19</td>\n",
       "      <td>5</td>\n",
       "      <td>R</td>\n",
       "      <td>67 / 84</td>\n",
       "      <td>0 / 0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>P05</td>\n",
       "      <td>F</td>\n",
       "      <td>31</td>\n",
       "      <td>3</td>\n",
       "      <td>R</td>\n",
       "      <td>104 / 106</td>\n",
       "      <td>0 / 0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>P06</td>\n",
       "      <td>M</td>\n",
       "      <td>37</td>\n",
       "      <td>5</td>\n",
       "      <td>L</td>\n",
       "      <td>70 / 80</td>\n",
       "      <td>0 / 0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>P07</td>\n",
       "      <td>M</td>\n",
       "      <td>26</td>\n",
       "      <td>5</td>\n",
       "      <td>R</td>\n",
       "      <td>63 / 64</td>\n",
       "      <td>0 / 0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>P08</td>\n",
       "      <td>F</td>\n",
       "      <td>33</td>\n",
       "      <td>5</td>\n",
       "      <td>R</td>\n",
       "      <td>83 / 92</td>\n",
       "      <td>0 / 0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>P09</td>\n",
       "      <td>M</td>\n",
       "      <td>20</td>\n",
       "      <td>5</td>\n",
       "      <td>L</td>\n",
       "      <td>96 / 98</td>\n",
       "      <td>28 / 28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>P10</td>\n",
       "      <td>M</td>\n",
       "      <td>34</td>\n",
       "      <td>5</td>\n",
       "      <td>L</td>\n",
       "      <td>82 / 86</td>\n",
       "      <td>39 / 40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>P11</td>\n",
       "      <td>F</td>\n",
       "      <td>34</td>\n",
       "      <td>5</td>\n",
       "      <td>L</td>\n",
       "      <td>103 / 106</td>\n",
       "      <td>0 / 0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>P12</td>\n",
       "      <td>M</td>\n",
       "      <td>22</td>\n",
       "      <td>5</td>\n",
       "      <td>L</td>\n",
       "      <td>88 / 92</td>\n",
       "      <td>24 / 32</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Participant Gender Age (years) Recording days used Hemisphere implanted  \\\n",
       "0          P01      M          44                   4                    L   \n",
       "1          P02      M          20                   4                    R   \n",
       "2          P03      M          33                   4                    L   \n",
       "3          P04      F          19                   5                    R   \n",
       "4          P05      F          31                   3                    R   \n",
       "5          P06      M          37                   5                    L   \n",
       "6          P07      M          26                   5                    R   \n",
       "7          P08      F          33                   5                    R   \n",
       "8          P09      M          20                   5                    L   \n",
       "9          P10      M          34                   5                    L   \n",
       "10         P11      F          34                   5                    L   \n",
       "11         P12      M          22                   5                    L   \n",
       "\n",
       "   Surface electrodes: # good / total Depth electrodes: # good / total  \n",
       "0                             79 / 86                            6 / 8  \n",
       "1                             69 / 70                          16 / 16  \n",
       "2                             79 / 80                           0 / 16  \n",
       "3                             67 / 84                            0 / 0  \n",
       "4                           104 / 106                            0 / 0  \n",
       "5                             70 / 80                            0 / 0  \n",
       "6                             63 / 64                            0 / 0  \n",
       "7                             83 / 92                            0 / 0  \n",
       "8                             96 / 98                          28 / 28  \n",
       "9                             82 / 86                          39 / 40  \n",
       "10                          103 / 106                            0 / 0  \n",
       "11                            88 / 92                          24 / 32  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rec_days, hemi, surf_tot, surf_good, depth_tot, depth_good, _, part, _, _ = load_data_characteristics()\n",
    "\n",
    "ages = [44, 20, 33, 19, 31, 37, 26, 33, 20, 34, 34, 22]  # not found in data files\n",
    "gender = ['M', 'M', 'M', 'F', 'F', 'M', 'M', 'F', 'M', 'M', 'F', 'M']  # not found in data files\n",
    "surf_elecs = [str(val_good)+' / '+str(val_tot) for val_good, val_tot in zip(surf_good, surf_tot)]\n",
    "depth_elecs = [str(val_good)+' / '+str(val_tot) for val_good, val_tot in zip(depth_good, depth_tot)]\n",
    "pd.DataFrame([part, gender, ages, rec_days, hemi, surf_elecs, depth_elecs],\n",
    "             index=['Participant', 'Gender', 'Age (years)', 'Recording days used', 'Hemisphere implanted',\n",
    "                    'Surface electrodes: # good / total', 'Depth electrodes: # good / total']).T\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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