occupant_data_preprocessing_DORN.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "0009a7d1-9263-4d8c-aa9a-a9cdd8d531ad",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "from common.utils import load_variable, vote_by_user\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "69403011-ef98-41a8-9989-54a96d5e55b8",
   "metadata": {},
   "source": [
    "# DORN"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "322f0317-d144-4088-9935-9d5331a7deb1",
   "metadata": {},
   "source": [
    "## Loading raw dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "49b62661-1740-4d02-a8e5-e3754dae1399",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Raw features:\n",
      "['time' 'BMR' 'air-vel' 'bodyPresence' 'change' 'clothing' 'comfort'\n",
      " 'experimentid' 'heartRate' 'indoorOutdoor' 'lat' 'location' 'lon' 'met'\n",
      " 'responseSpeed' 'restingHR' 'thermal' 'userid' 'voteLog' 'unix' 't-skin'\n",
      " 't-bag' 't-nb' 't-net' 'rh-net' 'CO2' 'Noise' 't-ubi' 'rh-ubi' 'Light'\n",
      " 't-env' 'rh-env']\n",
      "Dimensions: (21681, 32)\n",
      "\n",
      "Features:\n",
      "['Yes' nan]\n",
      "['Work' 'Home' 'Portable' 'Other' nan]\n",
      "['Very light' 'Light' 'Medium' nan 'Heavy']\n",
      "['sitting' 'resting' 'standing' 'exercising' nan]\n",
      "sitting       15113\n",
      "standing       3114\n",
      "resting        2948\n",
      "exercising      496\n",
      "Name: met, dtype: int64\n",
      "[ 1. nan]\n",
      "['Indoor' 'Outdoor' nan]\n",
      "['Cooler' 'No Change' 'Warmer' nan]\n",
      "[   8.    9.   10. ... 1825. 1826. 1827.]\n",
      "\n",
      "Missing rows:\n",
      "time                 0\n",
      "BMR                139\n",
      "air-vel           6129\n",
      "bodyPresence         0\n",
      "change              12\n",
      "clothing            10\n",
      "comfort           9842\n",
      "experimentid         0\n",
      "heartRate          108\n",
      "indoorOutdoor       10\n",
      "lat              11988\n",
      "location            10\n",
      "lon              11988\n",
      "met                 10\n",
      "responseSpeed       70\n",
      "restingHR          139\n",
      "thermal             10\n",
      "userid               0\n",
      "voteLog            158\n",
      "unix                 0\n",
      "t-skin            4343\n",
      "t-bag             4880\n",
      "t-nb              5169\n",
      "t-net              809\n",
      "rh-net             809\n",
      "CO2              14069\n",
      "Noise            14069\n",
      "t-ubi             1337\n",
      "rh-ubi            1112\n",
      "Light            13930\n",
      "t-env             4483\n",
      "rh-env            5854\n",
      "dtype: int64\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>time</th>\n",
       "      <th>BMR</th>\n",
       "      <th>air-vel</th>\n",
       "      <th>bodyPresence</th>\n",
       "      <th>change</th>\n",
       "      <th>clothing</th>\n",
       "      <th>comfort</th>\n",
       "      <th>experimentid</th>\n",
       "      <th>heartRate</th>\n",
       "      <th>indoorOutdoor</th>\n",
       "      <th>...</th>\n",
       "      <th>t-nb</th>\n",
       "      <th>t-net</th>\n",
       "      <th>rh-net</th>\n",
       "      <th>CO2</th>\n",
       "      <th>Noise</th>\n",
       "      <th>t-ubi</th>\n",
       "      <th>rh-ubi</th>\n",
       "      <th>Light</th>\n",
       "      <th>t-env</th>\n",
       "      <th>rh-env</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2020-05-18 16:04:04.015000+08:00</td>\n",
       "      <td>1406.0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>True</td>\n",
       "      <td>No</td>\n",
       "      <td>Very light</td>\n",
       "      <td>1.0</td>\n",
       "      <td>dorn</td>\n",
       "      <td>64.0</td>\n",
       "      <td>Indoor</td>\n",
       "      <td>...</td>\n",
       "      <td>33.438</td>\n",
       "      <td>30.3</td>\n",
       "      <td>74.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>31.382088</td>\n",
       "      <td>70.0</td>\n",
       "      <td>42.879997</td>\n",
       "      <td>31.382088</td>\n",
       "      <td>70.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2020-05-18 17:14:06.635000+08:00</td>\n",
       "      <td>1406.0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>True</td>\n",
       "      <td>No</td>\n",
       "      <td>Very light</td>\n",
       "      <td>1.0</td>\n",
       "      <td>dorn</td>\n",
       "      <td>60.0</td>\n",
       "      <td>Indoor</td>\n",
       "      <td>...</td>\n",
       "      <td>34.125</td>\n",
       "      <td>30.5</td>\n",
       "      <td>73.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>31.665138</td>\n",
       "      <td>68.0</td>\n",
       "      <td>33.809998</td>\n",
       "      <td>31.665138</td>\n",
       "      <td>68.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2020-05-18 18:34:05.956000+08:00</td>\n",
       "      <td>1406.0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>True</td>\n",
       "      <td>No</td>\n",
       "      <td>Very light</td>\n",
       "      <td>1.0</td>\n",
       "      <td>dorn</td>\n",
       "      <td>61.0</td>\n",
       "      <td>Indoor</td>\n",
       "      <td>...</td>\n",
       "      <td>32.812</td>\n",
       "      <td>30.6</td>\n",
       "      <td>72.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>31.595711</td>\n",
       "      <td>67.0</td>\n",
       "      <td>39.200001</td>\n",
       "      <td>31.595711</td>\n",
       "      <td>67.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2020-05-19 10:50:39.779000+08:00</td>\n",
       "      <td>1406.0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>True</td>\n",
       "      <td>No</td>\n",
       "      <td>Very light</td>\n",
       "      <td>1.0</td>\n",
       "      <td>dorn</td>\n",
       "      <td>87.0</td>\n",
       "      <td>Indoor</td>\n",
       "      <td>...</td>\n",
       "      <td>31.688</td>\n",
       "      <td>25.9</td>\n",
       "      <td>62.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>28.572899</td>\n",
       "      <td>54.0</td>\n",
       "      <td>31.580000</td>\n",
       "      <td>28.572899</td>\n",
       "      <td>54.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2020-05-19 11:39:34.281000+08:00</td>\n",
       "      <td>1406.0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>True</td>\n",
       "      <td>No</td>\n",
       "      <td>Very light</td>\n",
       "      <td>1.0</td>\n",
       "      <td>dorn</td>\n",
       "      <td>69.0</td>\n",
       "      <td>Indoor</td>\n",
       "      <td>...</td>\n",
       "      <td>31.625</td>\n",
       "      <td>29.2</td>\n",
       "      <td>71.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>30.084305</td>\n",
       "      <td>68.0</td>\n",
       "      <td>54.139999</td>\n",
       "      <td>30.084305</td>\n",
       "      <td>68.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 32 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                               time     BMR air-vel  bodyPresence change  \\\n",
       "0  2020-05-18 16:04:04.015000+08:00  1406.0     Yes          True     No   \n",
       "1  2020-05-18 17:14:06.635000+08:00  1406.0     Yes          True     No   \n",
       "2  2020-05-18 18:34:05.956000+08:00  1406.0     Yes          True     No   \n",
       "3  2020-05-19 10:50:39.779000+08:00  1406.0     Yes          True     No   \n",
       "4  2020-05-19 11:39:34.281000+08:00  1406.0     Yes          True     No   \n",
       "\n",
       "     clothing  comfort experimentid  heartRate indoorOutdoor  ...    t-nb  \\\n",
       "0  Very light      1.0         dorn       64.0        Indoor  ...  33.438   \n",
       "1  Very light      1.0         dorn       60.0        Indoor  ...  34.125   \n",
       "2  Very light      1.0         dorn       61.0        Indoor  ...  32.812   \n",
       "3  Very light      1.0         dorn       87.0        Indoor  ...  31.688   \n",
       "4  Very light      1.0         dorn       69.0        Indoor  ...  31.625   \n",
       "\n",
       "  t-net  rh-net CO2  Noise      t-ubi rh-ubi      Light      t-env  rh-env  \n",
       "0  30.3    74.0 NaN    NaN  31.382088   70.0  42.879997  31.382088    70.0  \n",
       "1  30.5    73.0 NaN    NaN  31.665138   68.0  33.809998  31.665138    68.0  \n",
       "2  30.6    72.0 NaN    NaN  31.595711   67.0  39.200001  31.595711    67.0  \n",
       "3  25.9    62.0 NaN    NaN  28.572899   54.0  31.580000  28.572899    54.0  \n",
       "4  29.2    71.0 NaN    NaN  30.084305   68.0  54.139999  30.084305    68.0  \n",
       "\n",
       "[5 rows x 32 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# File obtained from Cohort-comfort paper processing TODO add reference\n",
    "df_dorn_features_raw = pd.read_csv(\"data/dorn/DORN_cozie_env_raw.csv\")\n",
    "\n",
    "df_dorn_features_raw['userid'] = ['dorn' + str(userid) for userid in df_dorn_features_raw['userid']]\n",
    "\n",
    "print(f'Raw features:\\n{df_dorn_features_raw.columns.values}')\n",
    "print(f'Dimensions: {df_dorn_features_raw.shape}')\n",
    "print('\\nFeatures:')\n",
    "print(df_dorn_features_raw['air-vel'].unique())\n",
    "print(df_dorn_features_raw['location'].unique())\n",
    "print(df_dorn_features_raw['clothing'].unique())\n",
    "print(df_dorn_features_raw['met'].unique())\n",
    "print(df_dorn_features_raw['met'].value_counts())\n",
    "print(df_dorn_features_raw['comfort'].unique())\n",
    "print(df_dorn_features_raw['indoorOutdoor'].unique())\n",
    "print(df_dorn_features_raw['thermal'].unique())\n",
    "print(df_dorn_features_raw['voteLog'].unique())\n",
    "print('\\nMissing rows:')\n",
    "print(df_dorn_features_raw.isna().sum())\n",
    "df_dorn_features_raw.head(5)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "85734e48-8c43-4d4f-92aa-1accdc9b1978",
   "metadata": {},
   "source": [
    "## Preprocessing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "237ab089-e98e-4921-95b0-11af8159d75b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Only indoor votes: (12032, 33)\n"
     ]
    }
   ],
   "source": [
    "# filtering from original Dorn paper\n",
    "df_dorn_features_indoor = df_dorn_features_raw.copy()\n",
    "df_dorn_features_indoor['skin-nb'] = df_dorn_features_indoor[['t-skin', 't-nb']].diff(axis=1)['t-nb']\n",
    "threshold = df_dorn_features_indoor.groupby(['userid'])['skin-nb'].quantile(0.95).median()\n",
    "df_dorn_features_indoor = df_dorn_features_indoor[df_dorn_features_indoor[\"skin-nb\"] < threshold]\n",
    "\n",
    "# only indoor steady-state data\n",
    "df_dorn_features_indoor = df_dorn_features_indoor[df_dorn_features_indoor[\"change\"] == \"No\"]\n",
    "df_dorn_features_indoor = df_dorn_features_indoor[df_dorn_features_indoor[\"met\"] != \"Exercising\"]\n",
    "df_dorn_features_indoor = df_dorn_features_indoor[df_dorn_features_indoor[\"indoorOutdoor\"] == \"Indoor\"]\n",
    "\n",
    "print(f'\\nOnly indoor votes: {df_dorn_features_indoor.shape}')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "f1f0c8a0-7c83-4cfd-b1a6-092757ddbd3e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Filtered features:\n",
      " ['air-vel' 'clothing' 'heartRate' 'met' 'thermal_cozie' 'user_id' 't-nb'\n",
      " 't-ubi' 'rh-ubi']\n",
      "\n",
      "Missing rows:\n",
      "air-vel            0\n",
      "clothing           0\n",
      "heartRate         18\n",
      "met                0\n",
      "thermal_cozie      0\n",
      "user_id            0\n",
      "t-nb               0\n",
      "t-ubi            487\n",
      "rh-ubi           357\n",
      "dtype: int64\n",
      "\n",
      "Dropping NaNs rows\n",
      "air-vel          0\n",
      "clothing         0\n",
      "heartRate        0\n",
      "met              0\n",
      "thermal_cozie    0\n",
      "user_id          0\n",
      "t-nb             0\n",
      "t-ubi            0\n",
      "rh-ubi           0\n",
      "dtype: int64\n",
      "New dimensions: (11529, 9)\n",
      "New features: ['air-vel' 'clothing' 'heartRate' 'met' 'thermal_cozie' 'user_id' 't-nb'\n",
      " 't-ubi' 'rh-ubi']\n",
      "Min responses/participant: 127\n",
      "Max responses/participant: 966\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x1440 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "drop_columns = [\n",
    "    'BMR', # calculated with heigh and weight\n",
    "    'time',\n",
    "    # 'air-vel',\n",
    "    'bodyPresence',\n",
    "    'change', \n",
    "    'comfort',\n",
    "    'experimentid', \n",
    "    'indoorOutdoor', # whether the vote was outside or not\n",
    "#     'met', # needed for PMV\n",
    "    'lat',\n",
    "    'location',\n",
    "    'restingHR',\n",
    "    'lon',\n",
    "    'responseSpeed',\n",
    "    'voteLog', # sequence of vote\n",
    "    'unix',\n",
    "    'CO2',\n",
    "    'Noise',\n",
    "    't-skin', # skin temperature ibutton\n",
    "    't-bag', # ibutton in the backpack\n",
    "#   't-nb', # near body air temperature ibutton\n",
    "    't-net', # temperature netatmo\n",
    "    'rh-net', # humidity netatmo\n",
    "#   't-ubi', # temperature ubibot\n",
    "#   'rh-ubi', # humidity ubibot\n",
    "    'Light',\n",
    "    't-env', # env features if location is 'other'\n",
    "    'rh-env', # env features if location is 'other'\n",
    "    'skin-nb' # extra feature created in previous cell\n",
    "]\n",
    "# drop unused features, rename columns, and remap labels\n",
    "df_dorn_features_filtered = df_dorn_features_indoor.drop(drop_columns, axis=1)\n",
    "df_dorn_features_filtered = df_dorn_features_filtered.rename(columns={'thermal':'thermal_cozie', 'userid':'user_id'})\n",
    "df_dorn_features_filtered['thermal_cozie'] = df_dorn_features_filtered['thermal_cozie'].map({'Warmer':9.0,'No Change':10.0, 'Cooler': 11.0})\n",
    "print(f'Filtered features:\\n {df_dorn_features_filtered.columns.values}')\n",
    "\n",
    "# update `air-vel`\n",
    "df_dorn_features_filtered['air-vel'] = df_dorn_features_filtered['air-vel'].map({'Yes':1, np.nan:0})\n",
    "\n",
    "# drop NaN rows regarding physiological and environmental features\n",
    "print('\\nMissing rows:')\n",
    "print(df_dorn_features_filtered.isna().sum())\n",
    "print('\\nDropping NaNs rows')\n",
    "non_nans_cols = ['t-nb', \n",
    "                 't-ubi',\n",
    "                 'heartRate',\n",
    "                 'thermal_cozie']\n",
    "for col in non_nans_cols:\n",
    "    df_dorn_features_filtered = df_dorn_features_filtered[df_dorn_features_filtered[col].notna()]\n",
    "print(df_dorn_features_filtered.isna().sum())\n",
    "\n",
    "print(f'New dimensions: {df_dorn_features_filtered.shape}')\n",
    "print(f'New features: {df_dorn_features_filtered.columns.values}')\n",
    "\n",
    "# remove rows where clothing is 'very light' since it is not an option for commercial buildings\n",
    "# keep only 'Light' and 'Medium'\n",
    "df_dorn_features_filtered = df_dorn_features_filtered[\n",
    "    (df_dorn_features_filtered[\"clothing\"] == \"Light\") | \n",
    "    (df_dorn_features_filtered[\"clothing\"] == \"Medium\")\n",
    "]\n",
    "\n",
    "user_data_dist = df_dorn_features_filtered['user_id'].value_counts()\n",
    "\n",
    "print(f'Min responses/participant: {min(user_data_dist)}')\n",
    "print(f'Max responses/participant: {max(user_data_dist)}')\n",
    "\n",
    "figure, ax = plt.subplots(1, 1, figsize=(16, 20))\n",
    "ax.barh(user_data_dist.index, user_data_dist, align='center')\n",
    "\n",
    "ax.tick_params(length=20, direction=\"inout\", labelsize=30)\n",
    "ax.set_ylabel('users', size=40)\n",
    "ax.set_xlabel('# datapoints', size=40)\n",
    "plt.xticks(rotation=0)\n",
    "ax.set_title('User\\'s datapoints in Dorn', size=40)\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "figure.savefig(f\"img/dorn_datadist_filtered.png\")\n",
    "\n",
    "\n",
    "df_dorn_features_filtered.to_csv('data/dorn/DORN_env.csv', index=False)\n",
    "\n",
    "# Min responses/participant: 127\n",
    "# Max responses/participant: 966"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2411b5c4-ea80-47b6-a708-e2f331e28cb4",
   "metadata": {},
   "source": [
    "## Equal datapoints for all users"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "dbe5e4a7-910d-488e-8306-16a7c0f8b572",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Dimensions with equal size datapoints: (2635, 8)\n",
      "Per user:\n",
      "dorn1     132\n",
      "dorn2     132\n",
      "dorn19    132\n",
      "dorn18    132\n",
      "dorn16    132\n",
      "dorn15    132\n",
      "dorn14    132\n",
      "dorn13    132\n",
      "dorn12    132\n",
      "dorn11    132\n",
      "dorn10    132\n",
      "dorn9     132\n",
      "dorn8     132\n",
      "dorn7     132\n",
      "dorn6     132\n",
      "dorn5     132\n",
      "dorn4     132\n",
      "dorn3     132\n",
      "dorn20    132\n",
      "dorn17    127\n",
      "Name: user_id, dtype: int64\n",
      "Final features to be use\n",
      ": ['air-vel' 'clothing' 'heartRate' 'thermal_cozie' 'user_id' 't-nb' 't-ubi'\n",
      " 'rh-ubi']\n"
     ]
    }
   ],
   "source": [
    "# get num_samples of datapoints for users\n",
    "num_samples = 132\n",
    "df_dorn_env_same_size = pd.DataFrame()\n",
    "\n",
    "for user in df_dorn_features_filtered['user_id'].unique():\n",
    "    df_user = df_dorn_features_filtered[df_dorn_features_filtered['user_id'] == user]\n",
    "    \n",
    "    # take the first n samples\n",
    "    df_user = df_user.iloc[0:num_samples,:]\n",
    "    df_dorn_env_same_size = df_dorn_env_same_size.append(df_user)\n",
    "    \n",
    "df_dorn_env_same_size_pmv = df_dorn_env_same_size.copy()\n",
    "df_dorn_env_same_size_pmv.to_csv('data/dorn/DORN_env_132_pmv.csv', index=False)\n",
    "df_dorn_env_same_size = df_dorn_env_same_size.drop(\"met\", axis=1)\n",
    "df_dorn_env_same_size.to_csv('data/dorn/DORN_env_132.csv', index=False)\n",
    "\n",
    "print(f'Dimensions with equal size datapoints: {df_dorn_env_same_size.shape}')\n",
    "print(f'Per user:\\n{df_dorn_env_same_size[\"user_id\"].value_counts()}')\n",
    "print(f'Final features to be use\\n: {df_dorn_env_same_size.columns.values}')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "32e80b87-1013-477a-b90b-664b01570430",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_dorn = pd.read_csv(\"data/dorn/DORN_env_132.csv\")\n",
    "vote_by_user(df_dorn, show_percentages=True)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6f5884be-14b2-4ba4-bc71-3a2195318760",
   "metadata": {},
   "source": [
    "## Preference distribution profiles"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "a1fe8778-5aa8-4cd4-881f-0500d369aaaf",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/1j/2mvzcjvd26795zpd_p3_dhsc0000gn/T/ipykernel_53737/2353262754.py:6: 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: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df_dist_profile[\"Thermal Preference\"] = df_dist_profile[\"thermal_cozie\"].map(\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_dist_profile = df_dorn_features_filtered[['t-ubi','thermal_cozie']]\n",
    "size = (16,6)\n",
    "fontsize= 40\n",
    "\n",
    "\n",
    "df_dist_profile[\"Thermal Preference\"] = df_dist_profile[\"thermal_cozie\"].map(\n",
    "    {9.0: \"Warmer\", 10.0: \"No Change\", 11.0: \"Cooler\"}\n",
    ")\n",
    "\n",
    "fig, ax = plt.subplots(figsize=size)\n",
    "sns.kdeplot(\n",
    "    data=df_dist_profile, \n",
    "    x=\"t-ubi\", \n",
    "    hue=\"Thermal Preference\", \n",
    "    bw_adjust=0.5,\n",
    "    palette=[\"#2c9f2c\", \"#1f77b4\", \"#d62728\"], # green, blue, red\n",
    "    ax=ax\n",
    ")\n",
    "plt.xlabel(\"Indoor Temperature [°C]\", size=fontsize)\n",
    "plt.ylabel(\"Density\", size=fontsize)\n",
    "plt.tick_params(labelsize=fontsize * 0.75)\n",
    "plt.savefig(f\"img/preferences_dist\")\n",
    "plt.setp(ax.get_legend().get_texts(), fontsize=fontsize*0.5) # for legend text\n",
    "plt.setp(ax.get_legend().get_title(), fontsize=fontsize*0.75) # for legend title\n",
    "plt.tight_layout()\n",
    "plt.savefig(f\"img/preferences_dist.png\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9255381a-ae79-461f-9533-e383e7e23f16",
   "metadata": {},
   "source": [
    "## Occupant tolerance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "8ab266f8-2999-4510-81a1-b0148d2695b5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   user_id  tolerance\n",
      "0    dorn1  92.424242\n",
      "1   dorn10   4.545455\n",
      "2   dorn11  81.060606\n",
      "3   dorn12  50.000000\n",
      "4   dorn13  61.363636\n",
      "5   dorn14  96.212121\n",
      "6   dorn15  65.151515\n",
      "7   dorn16   6.060606\n",
      "8   dorn17  72.440945\n",
      "9   dorn18  63.636364\n",
      "10  dorn19  47.727273\n",
      "11   dorn2  84.090909\n",
      "12  dorn20  79.545455\n",
      "13   dorn3  65.151515\n",
      "14   dorn4  78.030303\n",
      "15   dorn5  69.696970\n",
      "16   dorn6  31.818182\n",
      "17   dorn7  31.060606\n",
      "18   dorn8  54.545455\n",
      "19   dorn9  12.121212\n",
      "   user_id  tolerance\n",
      "0    dorn1  97.506562\n",
      "1   dorn10   1.857585\n",
      "2   dorn11  86.348123\n",
      "3   dorn12  67.415730\n",
      "4   dorn13  77.811094\n",
      "5   dorn14  98.153846\n",
      "6   dorn15  54.028436\n",
      "7   dorn16  11.602210\n",
      "8   dorn17  72.440945\n",
      "9   dorn18  70.909091\n",
      "10  dorn19  56.712329\n",
      "11   dorn2  81.355932\n",
      "12  dorn20  88.392857\n",
      "13   dorn3  65.270506\n",
      "14   dorn4  24.654378\n",
      "15   dorn5  84.201077\n",
      "16   dorn6  40.909091\n",
      "17   dorn7  27.604167\n",
      "18   dorn8  61.818182\n",
      "19   dorn9   3.933747\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/1j/2mvzcjvd26795zpd_p3_dhsc0000gn/T/ipykernel_53737/1412315547.py:8: FutureWarning: Dropping of nuisance columns in DataFrame reductions (with 'numeric_only=None') is deprecated; in a future version this will raise TypeError.  Select only valid columns before calling the reduction.\n",
      "  df_total = _df.sum(axis=1)\n",
      "/var/folders/1j/2mvzcjvd26795zpd_p3_dhsc0000gn/T/ipykernel_53737/1412315547.py:25: FutureWarning: Dropping of nuisance columns in DataFrame reductions (with 'numeric_only=None') is deprecated; in a future version this will raise TypeError.  Select only valid columns before calling the reduction.\n",
      "  df_total = _df.sum(axis=1)\n"
     ]
    }
   ],
   "source": [
    "df = pd.read_csv('data/dorn/DORN_env_132.csv')\n",
    "_df = (df.groupby([\"user_id\", \"thermal_cozie\"])[\"thermal_cozie\"]\n",
    "        .count()\n",
    "        .unstack(\"thermal_cozie\")\n",
    ")\n",
    "_df.reset_index(inplace=True)\n",
    "\n",
    "df_total = _df.sum(axis=1)\n",
    "df_rel = _df[_df.columns[1:]].div(df_total, 0) * 100\n",
    "df_rel[\"user_id\"] = _df[\"user_id\"]\n",
    "\n",
    "df_tolerance = pd.DataFrame()\n",
    "df_tolerance[\"user_id\"] = df_rel[\"user_id\"]\n",
    "df_tolerance[\"tolerance\"] = df_rel.iloc[:,1]\n",
    "df_tolerance.to_csv(\"data/dorn/DORN_tol_132.csv\")\n",
    "print(df_tolerance)\n",
    "\n",
    "df = pd.read_csv('data/dorn/DORN_env.csv')\n",
    "_df = (df.groupby([\"user_id\", \"thermal_cozie\"])[\"thermal_cozie\"]\n",
    "        .count()\n",
    "        .unstack(\"thermal_cozie\")\n",
    ")\n",
    "_df.reset_index(inplace=True)\n",
    "\n",
    "df_total = _df.sum(axis=1)\n",
    "df_rel = _df[_df.columns[1:]].div(df_total, 0) * 100\n",
    "df_rel[\"user_id\"] = _df[\"user_id\"]\n",
    "\n",
    "df_tolerance = pd.DataFrame()\n",
    "df_tolerance[\"user_id\"] = df_rel[\"user_id\"]\n",
    "df_tolerance[\"tolerance\"] = df_rel.iloc[:,1]\n",
    "df_tolerance.to_csv(\"data/dorn/DORN_tol.csv\")\n",
    "print(df_tolerance)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e5137766-0da3-4ba1-9775-4d61302da279",
   "metadata": {},
   "source": [
    "## Preference distribution"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "8b3204ce-7469-402a-b504-9bc107001108",
   "metadata": {},
   "outputs": [],
   "source": [
    " # TODO: move this to a function in utils\n",
    "df_tol = pd.read_csv(\"data/dorn/DORN_tol.csv\")\n",
    "df = pd.read_csv('data/dorn/DORN_env.csv')\n",
    "tol = 0.6"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "131e6c70-5184-4d45-b75d-e64875965827",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "filtered_occ = list(df_tol[df_tol[\"tolerance\"] <= tol*100][\"user_id\"])\n",
    "df_filtered = df[df[\"user_id\"].isin(filtered_occ)]\n",
    "\n",
    "df_dist_profile = df_filtered[['t-ubi','thermal_cozie']]\n",
    "size = (16,6)\n",
    "fontsize= 40\n",
    "\n",
    "df_dist_profile_plot = df_dist_profile.copy()\n",
    "\n",
    "df_dist_profile_plot[\"Thermal Preference\"] = df_dist_profile[\"thermal_cozie\"].map(\n",
    "    {9.0: \"Warmer\", 10.0: \"No Change\", 11.0: \"Cooler\"}\n",
    ")\n",
    "\n",
    "if tol == 0.1:\n",
    "    palette=[\"#1f77b4\", \"#2c9f2c\", \"#d62728\"] # blue, green, red\n",
    "else:\n",
    "    palette=[\"#2c9f2c\", \"#1f77b4\", \"#d62728\"] # green, blue, red\n",
    "    \n",
    "fig, ax = plt.subplots(figsize=size)\n",
    "kde = sns.kdeplot(\n",
    "    data=df_dist_profile_plot, \n",
    "    x=\"t-ubi\", \n",
    "    hue=\"Thermal Preference\", \n",
    "    bw_adjust=0.5,\n",
    "    palette=palette,\n",
    "    linewidth=5,\n",
    "    ax=ax\n",
    ")\n",
    "\n",
    "plt.xlabel(\"Indoor Temperature [°C]\", size=fontsize*0.75)\n",
    "plt.ylabel(\"Density\", size=fontsize*0.75)\n",
    "plt.ylim([0.0, 0.23])\n",
    "plt.xlim([20, 34])\n",
    "plt.tick_params(labelsize=fontsize * 0.75)\n",
    "ax.tick_params(length=20, direction=\"inout\", labelsize=fontsize*0.75)\n",
    "plt.setp(ax.get_legend().get_texts(), fontsize=fontsize*0.75) # for legend text\n",
    "plt.setp(ax.get_legend().get_title(), fontsize=fontsize*0.75) # for legend title\n",
    "\n",
    "# plt.xlabel(\"\", size=fontsize)\n",
    "# plt.ylabel(\"\", size=fontsize)\n",
    "# ax.get_legend().remove()\n",
    "# ax.set_xticklabels([])\n",
    "# ax.set_yticklabels([])\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.savefig(f\"img/preferences_dist_tol{tol}.png\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "47f3fc01-f4cd-4410-ba9d-7a8bdf65de1c",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "comfortlearn",
   "language": "python",
   "name": "comfortlearn"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}