APES activity.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import numpy as np\n",
    "import csv\n",
    "import datetime\n",
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "import sys\n",
    "import re\n",
    "\n",
    "SMALL_SIZE = 18\n",
    "MEDIUM_SIZE = 20\n",
    "BIGGER_SIZE = 22\n",
    "\n",
    "plt.rc('font', size=SMALL_SIZE)          # controls default text sizes\n",
    "plt.rc('axes', titlesize=SMALL_SIZE)     # fontsize of the axes title\n",
    "plt.rc('axes', labelsize=MEDIUM_SIZE)    # fontsize of the x and y labels\n",
    "plt.rc('xtick', labelsize=SMALL_SIZE)    # fontsize of the tick labels\n",
    "plt.rc('ytick', labelsize=SMALL_SIZE)    # fontsize of the tick labels\n",
    "plt.rc('legend', fontsize=SMALL_SIZE)    # legend fontsize\n",
    "plt.rc('figure', titlesize=BIGGER_SIZE)  # fontsize of the figure title"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "#path = '/Users/alihanks/class_data/period1/'\n",
    "#path = '/Users/alihanks/class_data/period2/'\n",
    "#path = '/Users/alihanks/class_data/period3/'\n",
    "#path = '/Users/alihanks/class_data/period4/'\n",
    "#path = '/Users/alihanks/class_data/period5/'\n",
    "#path = '/Users/alihanks/class_data/period7/'\n",
    "#path = '/Users/alihanks/class_data/test/'\n",
    "path = '/Users/alihanks/class_data/Miramonte/period6/'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# CO<sub>2</sub> Data comparison"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "in_file_IDs = []\n",
    "in_means = []\n",
    "in_errs = []\n",
    "in_groups = []\n",
    "\n",
    "out_file_IDs = []\n",
    "out_means = []\n",
    "out_errs = []\n",
    "out_groups = []\n",
    "\n",
    "test_file_IDs = []\n",
    "test_means = []\n",
    "test_errs = []\n",
    "test_groups = []\n",
    "\n",
    "for filename in sorted(os.listdir(path)):\n",
    "    file_ID = re.match( r'(.*)_(.*)_(.*)_2019.*', filename, re.M)\n",
    "    if re.search( r'CO2', filename, re.M):\n",
    "        with open(path+'/'+filename,'r') as f:\n",
    "            if re.search( r'Inside', filename, re.M):\n",
    "                in_file_IDs.append(file_ID.group(3))\n",
    "                reader = csv.reader(f)\n",
    "                data = []\n",
    "                for row in reader:\n",
    "                    try:\n",
    "                        data.append(float(row[1]))\n",
    "                    except Exception as e:\n",
    "                        #print(e)\n",
    "                        pass\n",
    "                in_groups.append(data)\n",
    "                in_means.append(np.mean(np.array(data)))\n",
    "                in_errs.append(np.std(np.array(data)))\n",
    "            if re.search( r'Outside', filename, re.M):\n",
    "                out_file_IDs.append(file_ID.group(3))\n",
    "                reader = csv.reader(f)\n",
    "                data = []\n",
    "                for row in reader:\n",
    "                    try:\n",
    "                        data.append(float(row[1]))\n",
    "                    except Exception as e:\n",
    "                        #print(e)\n",
    "                        pass\n",
    "                out_groups.append(data)\n",
    "                out_means.append(np.mean(np.array(data)))\n",
    "                out_errs.append(np.std(np.array(data)))\n",
    "            if re.search( r'Test', filename, re.M):\n",
    "                test_file_IDs.append(file_ID.group(3))\n",
    "                reader = csv.reader(f)\n",
    "                data = []\n",
    "                for row in reader:\n",
    "                    try:\n",
    "                        data.append(float(row[1]))\n",
    "                    except Exception as e:\n",
    "                        #print(e)\n",
    "                        pass\n",
    "                test_groups.append(data)\n",
    "                test_means.append(np.mean(np.array(data)))\n",
    "                test_errs.append(np.std(np.array(data)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20,10))\n",
    "plt.plot(in_file_IDs, in_means)\n",
    "plt.errorbar(in_file_IDs, in_means, in_errs)\n",
    "\n",
    "plt.xlabel('Group')\n",
    "plt.xticks(rotation=45)\n",
    "plt.ylabel('mean concentration')\n",
    "\n",
    "plt.title('$CO_2$ ppm vs group')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Indoor CO<sub>2</sub> levels for all groups"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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rq+raqjq/qt5SVbuPOMemqmpb+G/9Un8PAAAAAExu294FJNkzye5JPp7kkiQ3JdknycYkT62qB7TW/s8I81yR5MXz3L9gWoUCAAAAMH3dA6rW2heSfGHu/ao6LcnxSQ5O8sYRprqmtfbh6VYHAAAAwFLrvsVvKy4aXu8w6oCqulVV7VxVtUQ1AQAAADBlKyagqqrbVNWuVbVnVe2f5Ohh06dGnGKPJFcnuTLJ1VX1saraeylqBQAAAGB6um/xm+WQJEfN+npzkgNba6ePMPbCJGckOS/JzUkekuQFSR5TVY9orX19yrUCAAAAMCUrKaD6hyTnJ9kpyQOTPCnJbqMMbK09c86tE6vqE0k2JXlLksfON66qNmZwGHvWrVuXTZs2TVL3inPoPjf1LgFYRqvl7y4AAGDtqtZa7xrmVVX3S3JWkiNaa0dOOMc/Jnlkktu11q7bWt/169e3s88+e5LHrDh7HXZy7xKAZbT5DQf0LgEAAGBeVXVOa239Qv1WzBlUc7XWzkvytSTPW8Q0m5NskzEOWgcAAABgea3YgGpohyR3XMT4eyW5KclPplMOAAAAANPWPaCqqjtt4f5+Se6b5MxZ93avqr2rasdZ93apqm3mGX9AkocnOaW1dv30KwcAAABgGlbCIenvqqrdk3wxyUVJbpPkd5I8NclVSQ6d1ffIJM9Isl8GB6Bn+Oe3VNUnk1yQwYqpByc5MMkVSV609N8CAAAAAJNaCQHV32UQOh2UwVv7WgZB1dFJ3tRa+/4C47+V5JwkT0yyLsl2SS5J8u4kr2+tXbpEdQMAAAAwBd0Dqtba8UmOH7HvwUkOnnPvm0n+cOqFAQAAALAsup9BBQAAAMDaJqACAAAAoCsBFQAAAABdCagAAAAA6EpABQAAAEBXAioAAAAAuhJQAQAAANCVgAoAAACArgRUAAAAAHQloAIAAACgKwEVAAAAAF0JqAAAAADoSkAFAAAAQFcCKgAAAAC6ElABAAAA0JWACgAAAICuBFQAAAAAdCWgAgAAAKArARUAAAAAXQmoAAAAAOhKQAUAAABAVwIqAAAAALoSUAEAAADQlYAKAAAAgK4EVAAAAAB0JaACAAAAoCsBFQAAAABdCagAAAAA6EpABQAAAEBXAioAAAAAuhJQAQAAANCVgAoAAACArgRUAAAAAHQloAIAAACgKwEVAAAAAF0JqAAAAADoSkAFAAAAQFcCKgAAAAC6ElABAAAA0JWACgAAAICuBFQAAAAAdCWgAgAAAKArARUAAAAAXQmoAAAAAOhKQAUAAABAVwIqAAAAALoSUAEAAADQlYAKAAAAgK4EVAAAAAB0JaACAAAAoCsBFQAAAABddQ+oquo+VXVcVX2zqq6sqmur6vyqektV7T7GPE+oqi9X1TVV9ZOqOqGq7r6UtQMAAACweNv2LiDJnkl2T/LxJJckuSnJPkk2JnlqVT2gtfZ/tjZBVf1BkhOT/HOSv0iyS5IXJTmjqta31i5bwvoBAAAAWITuAVVr7QtJvjD3flWdluT4JAcneeOWxlfVdkmOSnJxkke21q4e3v90knOSHJFB2AUAAADACtR9i99WXDS83mGBfvsmuXOSY2fCqSRprZ2bZFOSpwxDLAAAAABWoBUTUFXVbapq16ras6r2T3L0sOlTCwx90PD6lXnazkyyc5J7T6lMAAAAAKZsxQRUSQ5J8qMMtup9NsntkxzYWjt9gXF3Hl4vnadt5t4eU6kQAAAAgKnrfgbVLP+Q5PwkOyV5YJInJdlthHE7Dq83zNN2/Zw+t1BVGzM8n2rdunXZtGnTGOWuXIfuc1PvEoBltFr+7gIAANauFRNQtdYuyeAtfknyD1X190nOqqodWmtHbmXotcPr9vO03WZOn7nPPCbJMUmyfv36tmHDhrHrXokOPuzk3iUAy2jz0zb0LgEAAGBRVtIWv1torZ2X5GtJnrdA18uG1/m28c3cm2/7HwAAAAArwIoNqIZ2SHLHBfqcNbw+bJ62hyb5eZJvT7MoAAAAAKane0BVVXfawv39ktw3gzfxzdzbvar2rqrZZ0qdmuQHSQ6pqp1m9b1/kg1JTmit3bgUtQMAAACweCvhDKp3VdXuSb6Y5KIMzo36nSRPTXJVkkNn9T0yyTOS7JdkU5K01m6sqhcm+WiS06vqPUl2TvLiDN4KePjyfBsAAAAATGIlBFR/l0HodFAGb+1rGQRVRyd5U2vt+wtN0Fo7oaquS/KKJG/O4I1+X0jy0taa86cAAAAAVrDuAVVr7fgkx4/Y9+AkB2+h7aQkJ02tMAAAAACWRfczqAAAAABY2wRUAAAAAHQloAIAAACgKwEVAAAAAF0JqAAAAADoSkAFAAAAQFcCKgAAAAC6ElABAAAA0JWACgAAAICuBFQAAAAAdCWgAgAAAKArARUAAAAAXQmoAAAAAOhKQAUAAABAVwIqAAAAALoSUAEAAADQlYAKAAAAgK4EVAAAAAB0JaACAAAAoCsBFQAAAABdCagAAAAA6EpABQAAAEBXAioAAAAAuhJQAQAAANCVgAoAAACArgRUAAAAAHQloAIAAACgKwEVAAAAAF0JqAAAAADoSkAFAAAAQFcCKgAAAAC6ElABAAAA0JWACgAAAICuBFQAAAAAdCWgAgAAAKArARUAAAAAXQmoAAAAAOhKQAUAAABAVwIqAAAAALoSUAEAAADQlYAKAAAAgK4EVAAAAAB0JaACAAAAoCsBFQAAAABdCagAAAAA6EpABQAAAEBXAioAAAAAuhJQAQAAANCVgAoAAACArgRUAAAAAHTVPaCqqntX1Wuq6syq+lFVXVVV51bVy6vqtiPOsamq2hb+W7/U3wMAAAAAk9u2dwFJ/jTJ85N8IslxSW5Msl+S1yX5o6p6aGvtuhHmuSLJi+e5f8G0CgUAAABg+lZCQHVikiNba1fOuvfuqvpOkpcneVaSt48wzzWttQ8vRYEAAAAALJ3uW/xaa2fPCadmfHR4ve+oc1XVrapq56qq6VQHAAAAwFLrHlBtxZ7D6+Uj9t8jydVJrkxydVV9rKr2XpLKAAAAAJialbDF79dU1TZJXpXkpiQfGWHIhUnOSHJekpuTPCTJC5I8pqoe0Vr7+lLVCgAAAMDirMiAKslbkzw0yctaa99aqHNr7Zlzbp1YVZ9IsinJW5I8dr5xVbUxycYkWbduXTZt2rSIkleOQ/e5qXcJwDJaLX93AQAAa1e11nrXcAtV9dokr0hyTGvt2Yuc6x+TPDLJ7RZ6E+D69evb2WefvZjHrRh7HXZy7xKAZbT5DQf0LgEAAGBeVXVOa239Qv3GPoOqqpZs1VVVHZFBOPW+JM+ZwpSbk2yT5A5TmAsAAACAJTDJIekXV9V/r6q7T7OQqjo8yeFJPpjkkDadpV33yuAcq59MYS4AAAAAlsAkAdX2Sf4yyXeq6tNV9V+qalFvA6yqVyU5IsmHkjyztfbLLfTbvar2rqodZ93bZXio+ty+ByR5eJJTWmvXL6Y+AAAAAJbOJNv1dk/ylAwOF39ckv2T/LCqjk1ybGvt4nEmq6rnJ3l1ku8n+XySP6mq2V0ub62dMvzzkUmekWS/DA5Az/DPb6mqTya5IIMVUw9OcmCSK5K8aMzvDwAAAIBlNHZA1Vq7IYNteB+sqt/K4KyoA5O8MsnLqurTSY5O8qkRt+k9aHi9a5IPzNN+apJT5rk/41tJzknyxCTrkmyX5JIk707y+tbapSPUAAAAAEAnU3mLX1Vtn8Gqqj/LYFtdyyAkek+S97TWLl/0Q5aYt/gBv6m8xQ8AAFipluwtfvMZrqr6eJK/S3JpkkpylySvSbK5qt5cVbeexrMAAAAAWF0WHVBV1fqqek+Sy5IclWTnJO9Msj6Dc6ouSPLiJG9Z7LMAAAAAWH0mOSQ9VXXbJE9L8uwkD8hgxdR5Sd6V5MOttWuGXb9aVe9L8rkMtgC+YNEVAwAAALCqjB1QVdW7k/xxkp2S3JjBtr53tta+PF//1trNVfXFJBsWUScAAAAAq9QkK6g2Jtmc5PVJ3ttau2KEMacO+wMAAADALUwSUP1ekk+1MV7/11r7UpIvTfAsAAAAAFa5sQOq1trJS1EIAAAAAGvT2G/xq6r9quqYqtp9C+13HrY/avHlAQAAALDaTbLF778m+U+ttR/M19hau2wYTt0hyWmLKQ4AAACA1W/sFVRJficLnyf1pSQPnmBuAAAAANaYSQKqf5/ksgX6/HDYDwAAAAC2apKA6sokey7QZ88k10wwNwAAAABrzCQB1VlJnlxV6+ZrrKo7JXnysB8AAAAAbNUkAdXbk+yc5LSqekJVbZskVbVtVR2Q5NQkt0ty1PTKBAAAAGC1Gvstfq21z1TVkUn+Msknk/yyqq5IsmsGgVclObK19qmpVgoAAADAqjTJCqq01l6e5IlJPpfkqgwORL8qyWeTHDBsBwAAAIAFjb2CasZwhZRVUgAAAAAsykQrqAAAAABgWiZeQZUkVbV9ktsn2Wa+9tbaZYuZHwAAAIDVb6KAqqr+OMlLk9w3g0PR59MmnR8AAACAtWPsAKmqDkrygSS/THJmkouT3DTlugAAAABYIyZZ4fSSJFcmeWRr7RtTrgcAAACANWaSQ9LvleR44RQAAAAA0zBJQPXTJNdNuxAAAAAA1qZJAqqTk2yoqi0djg4AAAAAI5skoDosyW2TvKOqdpxyPQAAAACsMZMckv6RDA5Jf3aSp1XVt5L8bJ5+rbX2uMUUBwAAAMDqN0lA9buz/ny7JOu30K9NMDcAAAAAa8wkAdV2U68CAAAAgDVr7ICqtXbzUhQCAAAAwNo0ySHpAAAAADA1EwVUNfDcqvpSVf24qq6f1faAqnpbVd1remUCAAAAsFqNHVBV1XZJPpvk7Un+Y5IbcstzqS5KsjHJ06ZRIAAAAACr2yQrqP5bBm/ye12S3ZIcM7uxtfbTJKcnedyiqwMAAABg1ZskoDowyVdaa4cPD0xv8/S5IMndFlUZAAAAAGvCJAHVf0jy5QX6/CTJv5tgbgAAAADWmEkCquuT7LJAn7sm+dkEcwMAAACwxkwSUJ2b5LFVdev5Gqtq5yT7J/mnxRQGAAAAwNowSUB1bAbnS32gqnaa3TAMp/42yR2THL348gAAAABY7bYdd0Br7biq2j/JQUmenOSnSVJVZybZJ8kOSY5urZ00zUIBAAAAWJ0mWUGV1tozkmxM8t0kd0pSSR6c5PtJnt1ae+7UKgQAAABgVRt7BdWM1tqxSY4dbvO7Y5IrW2tXTq0yAAAAANaEiQOqGa21q5NcPYVaAAAAAFiDJtriBwAAAADTMvYKqqr69ohdW2vtPuPODwAAAMDaMskWvx2TtHnu75Jkp+GfL09y06RFAQAAALB2jB1Qtdb23FJbVe2d5G+SbJfk8YuoCwAAAIA1YqpnULXWzk/y+0n2SvLKac4NAAAAwOo09UPSW2vXJvlskgOnPTcAAAAAq89SvcXvxiR3WqK5AQAAAFhFph5QVdUdM9jmd8m05wYAAABg9Rn7kPSqetlW5rpLBuHUHZK8YsT57p3BdsD9k9wjyW2SfC/JCUne2lq7ZsR5njB85v2T3JDkC0le0lq7cJTxAAAAAPQxdkCV5HULtF+d5A2ttSNHnO9Pkzw/ySeSHJfB9sD9hs/5o6p6aGvtuq1NUFV/kOTEJP+c5C+S7JLkRUnOqKr1rbXLRqwFAAAAgGU2SUD12C3c/2WSnyb519baL8aY78QkR7bWrpx1791V9Z0kL0/yrCRv39LgqtouyVFJLk7yyNba1cP7n05yTpIjkmwcox4AAAAAltHYAVVr7QvTLKC1dvYWmj6aQUB13wWm2DfJnZO8aiacGs57blVtSvKUqnp+a+3GadQLAAAAwHQt1Vv8pmHP4fXyBfo9aHj9yjxtZybZOcm9p1UUAAAAANM1ySHpd570YaOeBVVV2yR5VZKbknxkge4z9Vw6T9vMvT2S/MsozwYAAABgeU1yBtUlSdoE49oYz3trkocmeVlr7VsL9N1xeL1hnrbr5/S5haramOH5VOvWrcumTZtGLG9lO3Sfm3qXACyj1fJ3FwAAsHZNElB9JMldkzwiyVVJzkvywyR3SnK/JLdLcnqS709SUFW9NskLkhwpRLUOAAAeqElEQVQz4psArx1et5+n7TZz+txCa+2YJMckyfr169uGDRvGK3aFOviwk3uXACyjzU/b0LsEAACARZkkoHp1Buc9HZXk8Nbaz2Yaqur2SV6b5I+TPKu19t1xJq6qI5K8Isn7kjxnxGEz2wb3SPLNOW17DK/zbf8DAAAAYAWY5JD0v0ryzdbaC2eHU0nSWvtZa+3/T3L+sN/IqurwJIcn+WCSQ1pro24jPGt4fdg8bQ9N8vMk3x6nFgAAAACWzyQB1b5JTlugz2nDfiOpqlclOSLJh5I8s7X2yy30272q9q6q2WdKnZrkB0kOqaqdZvW9f5INSU5ord04ai0AAAAALK9Jtvhtn2TdAn3ulH87/2mrqur5GWwb/H6Szyf5k6qa3eXy1topwz8fmeQZSfZLsilJWms3VtULk3w0yelV9Z4kOyd5cZIfZbAqCwAAAIAVapKA6p+TPLWq3tZaO29uY1U9IMlTknx1xPkeNLzeNckH5mk/Nckp89z/ldbaCVV1XQbnV705gzf6fSHJS1trzp8CAAAAWMEmCahek+TkJP9UVR/MYDvf5Rmsqto3yUHDeV8zymSttYOTHLzYvq21k5KcNMo8AAAAAKwcYwdUrbXPVtXTkrw7ySFJnjWruZJcmeQ5s7blAQAAAMAWTbKCKq21j1bVp5L8fpLfTrJLBsHUV5N8vLV21fRKBAAAAGA1myigSpJhCPXB4X8AAAAAMJFbLXaCqrpdVe0+jWIAAAAAWHsmCqiq6rZV9VdVdUmSnyW5eFbbg6vqE8O3+QEAAADAVo29xa+qbpfkS0n2SfKNJD9Pcp9ZXf4lyaOTnJ/k3CnUCAAAAMAqNskKqldkEE4d0lq7X5LjZze21q5JcmqSxyy+PAAAAABWu0kCqv83yedaa387/LrN02dzkj0nLQoAAACAtWOSgGrPJP+8QJ+rk+wywdwAAAAArDGTBFRXJ9ltgT53T3LFBHMDAAAAsMZMElCdleSJVbXTfI1Vdackj0/y5cUUBgAAAMDaMElA9bYkuyY5qaruNbth+PVHk+ww7AcAAAAAW7XtuANaa5+uqtdl8Da/85PckCRV9cMMtv5Vkpe31r40zUIBAAAAWJ0mWUGV1tqrkjwuyaeSXDO8vX2SzyV5XGvtyOmUBwAAAMBqN/YKqhmttVOSnDLFWgAAAABYg8ZeQVVVn6uqI5agFgAAAADWoEm2+D0iya2nXQgAAAAAa9MkAdV3k9xl2oUAAAAAsDZNElC9N8kTqmrPaRcDAAAAwNozySHpf5/kMUnOqKojk5yV5IdJ2tyOrbXLFlceAAAAAKvdJAHV9zMIoyrJO7bSr004PwAAAABryCQB0kcyz2opAAAAAJjE2AFVa+3ApSgEAAAAgLVpkkPSAQAAAGBqRgqoqurpVXW/pS4GAAAAgLVn1BVU70/y5Nk3quoZVfXFqVcEAAAAwJqymC1+eyXZd0p1AAAAALBGOYMKAAAAgK4EVAAAAAB0JaACAAAAoKtxAqq2ZFUAAAAAsGZtO0bfI6rqiLk3q+rmLfRvrbVx5gcAAABgDRonQKox5x63PwAAAABr0EgBVWvNWVUAAAAALAnBEwAAAABdCagAAAAA6EpABQAAAEBXAioAAAAAuhJQAQAAANCVgAoAAACArgRUAAAAAHQloAIAAACgKwEVAAAAAF0JqAAAAADoSkAFAAAAQFcCKgAAAAC6ElABAAAA0JWACgAAAICuBFQAAAAAdCWgAgAAAKArARUAAAAAXXUPqKrqL6vqhKq6oKpaVW2eYI7Nw7Hz/bfrEpQNAAAAwJRs27uAJK9P8pMkX01y+0XMc36S/z7P/asWMScAAAAAS2wlBFT3aK1dkCRV9Y0kO004z+WttQ9PrywAAAAAlkP3LX4z4dQ0VNW2VbXztOYDAAAAYOl1D6im6CFJrk1yZVX9rKo+UFV37l0UAAAAAFu3Erb4TcO/JDk2g3Ootk2yIckhSR5TVQ9urV3WsTYAAAAAtmJVBFSttQPm3PqfVXVakuOSvDrJn803rqo2JtmYJOvWrcumTZuWssxlc+g+N/UuAVhGq+XvLgAAYO2q1lrvGn5l5pD01tpeU5rvwiTbt9YW3Oq3fv36dvbZZ0/jsd3tddjJvUsAltHmN8zN6AEAAFaGqjqntbZ+oX6r6Qyq+WxOsmvvIgAAAADYstUeUN0zyeW9iwAAAABgy36jAqqqumtV7V1V2826d8ct9H1+kj2TfHK56gMAAABgfN0PSa+qg5LcbfjlbkluXVWvGH59UWvtQ7O6fzDJvknunsH2vSR5elU9K8lnhvdm3uL35CTfS3L4EpYPAAAAwCJ1D6iSPCuD0Gm21w6vpyb5ULburCSPTvKUDAKuSnJhkr9K8obW2s+mVyoAAAAA09Y9oGqtbVhM39baGUmeNMWSAAAAAFhGv1FnUAEAAACw+gioAAAAAOhKQAUAAABAVwIqAAAAALoSUAEAAADQlYAKAAAAgK4EVAAAAAB0JaACAAAAoCsBFQAAAABdCagAAAAA6EpABQAAAEBXAioAAAAAuhJQAQAAANCVgAoAAACArgRUAAAAAHQloAIAAACgKwEVAAAAAF0JqAAAAADoSkAFAAAAQFcCKgAAAAC6ElABAAAA0JWACgAAAICuBFQAAAAAdCWgAgAAAKArARUAAAAAXQmoAAAAAOhKQAUAAABAVwIqAAAAALoSUAEAAADQlYAKAAAAgK4EVAAAAAB0JaACAAAAoCsBFQAAAABdCagAAAAA6EpABQAAAEBXAioAAAAAuhJQAQAAANCVgAoAAACArgRUAAAAAHQloAIAAACgKwEVAAAAAF0JqAAAAADoSkAFAAAAQFcCKgAAAAC6ElABAAAA0JWACgAAAICuBFQAAAAAdCWgAgAAAKArARUAAAAAXQmoAAAAAOhqRQRUVfWXVXVCVV1QVa2qNk84z9Or6mtVdV1VXV5Vx1bVblMuFwAAAIApWhEBVZLXJ3l0ku8l+ekkE1TVi5N8IMmVSV6Y5OgkT02yqapuO6U6AQAAAJiybXsXMHSP1toFSVJV30iy0ziDq2rXJK9LclaSx7TWbh7ePyvJJzIIrF4/1YoBAAAAmIoVsYJqJpxahCcn2THJUTPh1HDeTya5IMmBi5wfAAAAgCWyIgKqKXjQ8PqVedrOTLJ3VY21KgsAAACA5bFaAqo7D6+XztN2aZKa1QcAAACAFWSlnEG1WDsOrzfM03b9nD6/UlUbk2xMknXr1mXTpk1LUtxyO3Sfm3qXACyj1fJ3FzC6r196Ze8SAIAltM8eu/QuYdmtloDq2uF1+yTXzWm7zZw+v9JaOybJMUmyfv36tmHDhqWqb1kdfNjJvUsAltHmp23oXQKwzPzfegBY3dbi/8ZfLVv8Lhte95inbY8kbVYfAAAAAFaQ1RJQnTW8Pmyetock+VZr7eplrAcAAACAEf3GBVRVddeq2ruqtpt1+39lsLXvBVW1zay+v5fkHkmOW+YyAQAAABjRijiDqqoOSnK34Ze7Jbl1Vb1i+PVFrbUPzer+wST7Jrl7ks1J0lr7UVW9Msmbk3y+qv4ug619hyY5P8lbl/ybAAAAAGAiKyKgSvKsDEKn2V47vJ6a5ENZQGvtr6vqx0lenORtSX6e5Pgkh9neBwAAALByrYiAqrW2YRp9W2vvT/L+RRcEAAAAwLL5jTuDCgAAAIDVRUAFAAAAQFcCKgAAAAC6ElABAAAA0JWACgAAAICuBFQAAAAAdCWgAgAAAKArARUAAAAAXQmoAAAAAOhKQAUAAABAVwIqAAAAALoSUAEAAADQlYAKAAAAgK4EVAAAAAB0JaACAAAAoCsBFQAAAABdCagAAAAA6EpABQAAAEBXAiqA/9ve/QfrVtf1An9/RA8IGpokBhjHS11Ea4QCTGxSueXcMKfIjFQIKqVbFxBy7oyZ2g91shIlsfxBJWbQEJcfhumdsRRSyRDRuXaBUgQkSLiohQgHFb79sdbOx+c8+5y999n7+T6H83rNrFns7/qstdc+w+esZ7/Pd60FAABAVwIqAAAAALoSUAEAAADQlYAKAAAAgK4EVAAAAAB0JaACAAAAoCsBFQAAAABdCagAAAAA6EpABQAAAEBXAioAAAAAuhJQAQAAANCVgAoAAACArgRUAAAAAHQloAIAAACgKwEVAAAAAF0JqAAAAADoSkAFAAAAQFcCKgAAAAC6ElABAAAA0JWACgAAAICuBFQAAAAAdCWgAgAAAKArARUAAAAAXQmoAAAAAOhKQAUAAABAVwIqAAAAALoSUAEAAADQlYAKAAAAgK4EVAAAAAB0JaACAAAAoCsBFQAAAABdCagAAAAA6EpABQAAAEBXCxFQVdVDquqMqrq+qrZU1S1VdWZV7bXC/dsyy90bfe4AAAAA7JiH9j6B0ZuSnJbkkiRnJjlk/PqwqvqR1toDKzjGh5O8Y2rs6+t6lgAAAACsu+4BVVU9OcmpSS5urT1vYvzGJG9O8rNJzl/BoT7XWvvzjTlLAAAAADbKItzi94IkleSsqfFzktyT5PiVHqiqNlXVI9bx3AAAAADYYIsQUB2R5IEkV00Otta2JPnUuH0lfjpDoPWVqrqjqs6uqr3X9UwBAAAAWHfdb/FLsl+SO1tr983YdmuSo6pqU2vta9s4xlVJLkzy2STfluSYJKckeUZVHdVa87B0AAAAgAW1CAHVnklmhVNJsmWiZtmAqrX21KmhP6uq/5vkdUleOq63UlUnJzk5Sfbdd99cfvnlKz/rBfay7/tG71MA5ujB8ncXsHKu9QDw4LYrfsav1lrfE6j6dJLHttb2nbHtL5M8P8nu25lBNeu4D0tyd5JPtNaO2l794Ycf3q6++urVfIuFtfnlf937FIA5uun1z+l9CsCcudYDwIPbg+kzflV9orV2+PbqFuEZVLcl2aeqdp+xbf8Mt/+tKpxKktba15eOvYPnBwAAAMAGWoSA6uMZzuPIycGq2iPJoUnWNK1p3P+AJLfv6AkCAAAAsHEWIaC6IElLcvrU+EsyPHvqvKWBqjqoqp44WVRVj1nmuK/J8Iyty9bvVAEAAABYb90fkt5a+3RV/WGSU6rq4iTvS3JIktOSXJHk/Inyv01yYJKaGHtlVf1gkg8l+XySR2R4i9+zkvxDkrM3/IcAAAAAYM26B1Sj05PclOGNes9JcmeGYOnVrbUHtrPv5UmelOTEJI9Jcn+SzyT59SRvbK1tWX5XAAAAAHpbiICqtXZ/kjPHZVt1m2eMvSfJezbmzAAAAADYaIvwDCoAAAAAdmECKgAAAAC6ElABAAAA0JWACgAAAICuBFQAAAAAdCWgAgAAAKArARUAAAAAXQmoAAAAAOhKQAUAAABAVwIqAAAAALoSUAEAAADQlYAKAAAAgK4EVAAAAAB0JaACAAAAoCsBFQAAAABdCagAAAAA6EpABQAAAEBXAioAAAAAuhJQAQAAANCVgAoAAACArgRUAAAAAHQloAIAAACgKwEVAAAAAF0JqAAAAADoSkAFAAAAQFcCKgAAAAC6ElABAAAA0JWACgAAAICuBFQAAAAAdCWgAgAAAKArARUAAAAAXQmoAAAAAOhKQAUAAABAVwIqAAAAALoSUAEAAADQlYAKAAAAgK4EVAAAAAB0JaACAAAAoCsBFQAAAABdCagAAAAA6EpABQAAAEBXAioAAAAAuhJQAQAAANCVgAoAAACArgRUAAAAAHQloAIAAACgKwEVAAAAAF0JqAAAAADoSkAFAAAAQFcCKgAAAAC6ElABAAAA0NVCBFRV9ZCqOqOqrq+qLVV1S1WdWVV7zWN/AAAAAPpZiIAqyZuSvDHJtUlOTXJhktOSXFZVKznHHd0fAAAAgE4e2vsEqurJGUKli1trz5sYvzHJm5P8bJLzN2p/AAAAAPpahNlFL0hSSc6aGj8nyT1Jjt/g/QEAAADoaBECqiOSPJDkqsnB1tqWJJ8at2/k/gAAAAB0tAgB1X5J7myt3Tdj261J9qmqTRu4PwAAAAAddX8GVZI9k8wKl5Jky0TN19Z7/6o6OcnJ45d3V9U/bfdsmYd9ktzZ+yRgZ1G/O5dvoy9hMelNWEx6ExbTTtObc/qMPy8HrqRoEQKqe5I8dplte0zUrPv+rbV3JHnH9k6Q+aqqq1trh/c+D+Cb9CUsJr0Ji0lvwmLSm4ttEW7xuy3DbXi7z9i2f4bb95abPbUe+wMAAADQ0SIEVB/PcB5HTg5W1R5JDk1y9QbvDwAAAEBHixBQXZCkJTl9avwlGZ4ddd7SQFUdVFVPXOv+7DTcdgmLR1/CYtKbsJj0JiwmvbnAqrXW+xxSVWcnOSXJJUnel+SQJKcl+WiSo1trD4x1NyU5sLVWa9kfAAAAgMWzKAHVbhlmQJ2cZHOGp+pfkOTVrbW7J+puyuyAakX7AwAAALB4FiKgAgAAAGDXtQjPoGInVlW/VlUXVtXnqqqNs9yWq319VV1ZVXdU1X1VdUtVvbeqnrlM/e5V9dtVdeNYf0NVvbKqHrZM/c9V1Ser6t6qur2q/riqvmN9flLYuaymN2fs+3vjPjNnoOpNWLtVXjfPHWtmLT89o15vwhqs5ZpZVSdU1Uer6q6quruq/rGqXjWjbu+qOruqbq2qLVX1/6rql6uqZtQ+pKrOqKrrx9pbqurMqtprnX5U2KmstDeravM2rpdLy4um9nHNXEBmULFDqqol+VKSa5L8QJK7Wmubl6m9Isn1Sf45yZeTPC7J8RmeGfZzrbV3T9VfmuQnkvxpkr9P8rQkv5DkXa21k6Zqz0jyxiRXJDk/yQFJfjXJzUmObK19dcd/Wth5rKY3p/Y7NMPbUbdkuEY8YkaN3oQ1WuV189wkJyY5Ycbmv2utfX6qXm/CGqz2mllVf5qhNy9KcnmS+5M8Ick+rbUXT9RtSvKRJIclOTvJdUl+LMmxSX6rtfabU8f9gwzP0b0kyfszfEY+NcmHk/yI5+qyq1lpb44h7rHLHOYtSR6eZP/W2p0T+7hmLqLWmsWy5iXJf5n4739MctMq939EktuTXDs1fkyGtzOeOTV+5jh+1MTYPkm+muSqJLtNjD93rH1F7z8ni2Xey1p6M8luGcKpv8rwgfvuGTV602LZgWU1vZnk3OGj2oqOqzctljUuq+zLXxz75IQVHPdXxtpTp8YvSvK1DM/WXRp7cpIHklw0VXvqeIwX9v5zsljmvazD75pPG/vnwqlx18wFXdzixw5prX1uB/e/O8kXkzx6atMLx/VZU+NLXx8/MfaTSfZMcnZr7f6JY1+W5HNTtbBLWGNvnpbkSRk+DC9Hb8IOWEtv1uDbqmpbn9v0JqzRSvtyvC3v15Jc08aZ/1X1yFm3641emOSeJOdMjZ+V5GFJjpsYe0GSytY9fM54DH3JLmdHf9dMsjSj8Y+nxl0zF5SAirmrqn2q6rFV9ZSqekuG6cvvmyo7IsmtrbVbJgfHr28bt0/WJsPUzGkfS/LEqtrqNiXgm6rqwCSvyXDLwc3bKNWbMH//Pi73VtUHquqpM2r0Jmy8g5MclOTKqnpVVX0xyV1J/q2q3jbZN2Og/P1JPtla2zJ1nKsyzJaa7ssHxm3/adz3U1O1wHaM/fgzST6f5ANTm10zF9RDe58Au5axef//xNC9Sd6R4R7eSfsluXaZw9ya4b7fydql8Vm1Ndb882rPF3Yhb01yY4b767dFb8L8fCHJm5J8IsPtBU9JcnqSD1fVMa21v5mo1Zuw8Q4e18cl2ZTktRmunT+e5JeSHFxVR7fh/p9HZ3juzVZ91lq7bwy39p8Y3i/Jna21+2Z831uTHFVVm1prX1u3nwYe3I7L8DiZN7Stn9/mmrmgBFTM271JfjTD/3sHJnlRhr849szw4XvJnklmXaCT4eHNe07VZpn6LVM1wJSqekGS/57kh1pr39hOud6EOWmtvXxq6NKqOj/DbIq3JvmeiW16EzbeI8f1dyT50YmQ+KLxNr8TM1xP359t91kyuy+3VbtUI6CClXlxhlmJ75yxzTVzQbnFj7lqrd3fWvub1tr/aa29PcmzknxXkg9OvdLzniS7L3OYPcbtk7VZpn6PqRpgQlV9e4b77f+ktXblCnbRm9BRa+0zSf4yyXdX1X+d2KQ3YePdO65vnZrBmCTvGtfPHNfb6rNkdl9uq3bymMA2VNWTkvxgkg+0qTfejlwzF5SAiq7GB82dl+R7k/zwxKbb8q3Tniftn2+dYnnbxPis2jZRA3yr30iyV5Jzquq7l5YMtyXU+PXjJ+r1JvR307jeZ2JMb8LG+5dx/YUZ2/51XC+9+OfLGQKtrfqsqnZP8phs3Zf7jNum7Z/h9j+zp2BlfnFcTz8cfYlr5oISULEIHj6uv31i7ONJ9p/6xTjj1/sluXqqNhleIzrtqUn+aXxbILC1AzMEVP+Q5DMTy5EZpit/JsOtCkv0JvS3dGvf7RNjehM23qezTOiUbz6z5o4kGZ95c02Sw2aETkdm+D1sui8fMm77T1W1R5JDp2qBZYx35ZyQ4bnH71mmzDVzQQmomIuqenRVbZoxvleGhHv6rSV/Ma5Pn9pl6evzJsbek+HDwilVtdvEsZ+b4U0rk7XAt/rdJM+fsVyb4b765yc5Y6Jeb8IcVNVe4y+m0+OHZejL61prN0xs0puwwVpr9yS5OMnjqurYqc2/PK4n30z9Fxn+sefkqdrTk3wjw+26Sy7IMBNjuodfMh5DX8LK/ESG58S9u7X29WVqXDMXVA0vmYC1qaoTMszASJJTM7zR5Mzx65tba+8e634yyduTXJTks0m+kuQJGdLtAzK82v43p459WYa3ovxJhtd6Pi1DmPXnrbUTpmpfluQNSS7P8BfO/kleluSWJEdItdnVrLQ3t7H/5UkOb61t9dpcvQlrt4rr5qEZZi9emmEm49Jb/H4hwz/qPLu19pGpY+tNWIPVXDOr6rsy/KPq3knOznDL7TFJnpPkz1prJ07UbkpyZYbefXOS68baY5O8trX2qqnzODvJKUkuyRB0HZLktCQfTXL0jDeRwYPaWj7PVtX7M7ys4Emtteu2cWzXzAUkoGKHjL/EPmOZzVe01p451h2U5BVJjsowbXLPJF/MMGXyba21v55x7D2SvDLJ8Um+M8O9wO9M8vpZaXhVnZRhpsfBSe5K8t4kL2+t3bHmHxB2Uivtze3sv1xApTdhjVZx3Xxckt9PckSG6+bDMzzj5kNJfqe1dv2MY+tNWIPVXjOranOS1yV5doag6oYMv+S+cTpEqqpHJXltkp/K8NypG5L8UZI/bFO/iI2zM07PMONqc5I7M8yserVfgNkVraE3D0hyc5KPtdaevp1ju2YuIAEVAAAAAF15BhUAAAAAXQmoAAAAAOhKQAUAAABAVwIqAAAAALoSUAEAAADQlYAKAAAAgK4EVAAAAAB0JaACAAAAoCsBFQAAAABdCagAAAAA6EpABQAAAEBXAioAgA1UVZurqlXVuVX1xKq6tKq+VFVfraqPVNWzp+pPGutPqqrnVNWVY+2Xq+p/V9X3zPge5477PKGqTqmqa6tqS1XdVFWvqKoa655fVVeNx7ujqt5SVXvM688CAGA5AioAgPl4QpK/T/KYJG9PcmGSH0jy/qo6bkb9TyW5NMm/JPmDcd/nJflYVR28zPd4Q5LfSnJVkrcleSDJ65L8RlWdluRdST47bvtCkv+Z5E3r8cMBAOyIaq31PgcAgAetqtqc5Mbxyze01v7XxLbDMwRPdyc5sLV2V1WdlOSdY8lzW2vvnah/aZKzknywtfbfJsbPTXJikpuTPL21dus4/qgMgdTDk9yT5Idba9eN23ZP8skkByV5fGvtjnX9wQEAVsEMKgCA+fj3JL89OdBauzrJeUkeleTYqfoPToZTo7ckuSHJ0VV14Izv8ZqlcGo8/r8l+askeyZ561I4NW67L8kFSTYlOWRNPxEAwDoRUAEAzMc1rbWvzBi/fFwfNjV+xXRha+3+JB9Zpj5Jrp4xdtu4/sSMbUth1gEztgEAzI2ACgBgPm5fZvwL43rvHaxPhlla076xgm0PW+Z7AQDMhYAKAGA+9l1m/HHjejpAWm09AMBOS0AFADAf319Vj5wx/sxx/cmp8WdMF1bVbkl+aJl6AICdloAKAGA+9k7y6smB8S1+L8owG+qSqfqjq+rHp8ZOyfDWvQ+11m7eqBMFAJi3h/Y+AQCAXcTfJXlxVT01yUeTfGeS4zL8g+Evtdbumqq/LMklVXVJks8meUqSY5J8KcmvzO2sAQDmwAwqAID5uDHJUUm+nOR/JPmZJNckOaa1dsGM+ouTHJvk8UlemuTp49jTWmvXz+WMAQDmpFprvc8BAOBBq6o2Zwin3tVaO2kF9ScleWeSn2+tnbuBpwYAsDDMoAIAAACgKwEVAAAAAF0JqAAAAADoyjOoAAAAAOjKDCoAAAAAuhJQAQAAANCVgAoAAACArgRUAAAAAHQloAIAAACgKwEVAAAAAF39BylWei9rUscpAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20,10))\n",
    "n, bins, patches = plt.hist(x=in_means, bins='auto')\n",
    "plt.grid(axis='y')\n",
    "plt.xlabel('ppm')\n",
    "plt.ylabel('Frequency')\n",
    "plt.title('mean $CO_2$ concentration')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x1174542b0>"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20,10))\n",
    "for i in range(len(in_groups)):\n",
    "    n, bins, patches = plt.hist(x=in_groups[i], bins='auto', alpha=0.5, label=in_file_IDs[i])\n",
    "plt.grid(axis='y')\n",
    "plt.xlabel('ppm')\n",
    "plt.ylabel('Frequency')\n",
    "plt.legend(loc='upper right')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Location comparison"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "group_ID = 2\n",
    "test_location = 'Test'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x1172a99e8>"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20,10))\n",
    "n, bins, patches = plt.hist(x=in_groups[group_ID-1], bins='auto', alpha=0.5, label='Inside')\n",
    "n, bins, patches = plt.hist(x=out_groups[group_ID-1], bins='auto', alpha=0.5, label='Outside')\n",
    "n, bins, patches = plt.hist(x=test_groups[group_ID-1], bins='auto', alpha=0.5, label=test_location)\n",
    "plt.xlabel('ppm')\n",
    "plt.ylabel('Frequency')\n",
    "plt.legend(loc='upper right')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Background radiation comparisons"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "in_file_IDs = []\n",
    "in_means = []\n",
    "in_errs = []\n",
    "in_groups = []\n",
    "\n",
    "out_file_IDs = []\n",
    "out_means = []\n",
    "out_errs = []\n",
    "out_groups = []\n",
    "\n",
    "test_file_IDs = []\n",
    "test_means = []\n",
    "test_errs = []\n",
    "test_groups = []\n",
    "\n",
    "for filename in sorted(os.listdir(path)):\n",
    "    file_ID = re.match( r'(.*)_(.*)_(.*)_2019.*', filename, re.M)\n",
    "    if re.search( r'D3S', filename, re.M):\n",
    "        try:\n",
    "            spectra = np.genfromtxt(path+'/'+filename, delimiter= \",\").T\n",
    "        except:\n",
    "            pass\n",
    "        #print(np.sum(spectra, axis=0))\n",
    "        if len(spectra)==0:\n",
    "            continue\n",
    "        if re.search( r'Inside', filename, re.M):\n",
    "            in_file_IDs.append(file_ID.group(3))\n",
    "            in_groups.append(np.sum(spectra, axis=0))\n",
    "            in_means.append(np.sum(spectra)/len(np.sum(spectra, axis=0)))\n",
    "            in_errs.append(np.sqrt(np.sum(spectra))/len(np.sum(spectra, axis=0)))\n",
    "        if re.search( r'Outside', filename, re.M):\n",
    "            out_file_IDs.append(file_ID.group(3))\n",
    "            out_groups.append(np.sum(spectra, axis=0))\n",
    "            out_means.append(np.sum(spectra)/len(np.sum(spectra, axis=0)))\n",
    "            out_errs.append(np.sqrt(np.sum(spectra))/len(np.sum(spectra, axis=0)))\n",
    "        if re.search( r'Test', filename, re.M):\n",
    "            test_file_IDs.append(file_ID.group(3))\n",
    "            test_groups.append(np.sum(spectra, axis=0))\n",
    "            test_means.append(np.sum(spectra)/len(np.sum(spectra, axis=0)))\n",
    "            test_errs.append(np.sqrt(np.sum(spectra))/len(np.sum(spectra, axis=0)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Background radiation levels for all groups"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20,10))\n",
    "plt.plot(in_file_IDs, in_means)\n",
    "plt.errorbar(in_file_IDs, in_means, in_errs)\n",
    "\n",
    "plt.xlabel('Group')\n",
    "plt.xticks(rotation=45)\n",
    "plt.ylabel('counts-per-second')\n",
    "\n",
    "plt.title('Background radiation vs group')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20,10))\n",
    "n, bins, patches = plt.hist(x=in_means, bins='auto')\n",
    "plt.grid(axis='y')\n",
    "plt.xlabel('ppm')\n",
    "plt.ylabel('Frequency')\n",
    "plt.title('Backgroun radiation')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x116f18940>"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20,10))\n",
    "for i in range(len(in_groups)):\n",
    "    n, bins, patches = plt.hist(x=in_groups[i], bins='auto', alpha=0.5, label=in_file_IDs[i])\n",
    "plt.grid(axis='y')\n",
    "plt.xlabel('counts-per-second')\n",
    "plt.ylabel('Frequency')\n",
    "plt.legend(loc='upper right')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Location comparison"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "group_ID = 2\n",
    "test_location = 'Test'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x11d14f358>"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20,10))\n",
    "n, bins, patches = plt.hist(x=in_groups[group_ID-1], bins='auto', alpha=0.5, label='Inside')\n",
    "n, bins, patches = plt.hist(x=out_groups[group_ID-1], bins='auto', alpha=0.5, label='Outside')\n",
    "n, bins, patches = plt.hist(x=test_groups[group_ID-1], bins='auto', alpha=0.5, label=test_location)\n",
    "plt.xlabel('ppm')\n",
    "plt.ylabel('Frequency')\n",
    "plt.legend(loc='upper right')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "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": "3.7.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}