preprocessing.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "from matplotlib import pyplot as plt\n",
    "import math\n",
    "from tqdm import tqdm\n",
    "import warnings\n",
    "warnings.simplefilter(action='ignore', category=FutureWarning)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "def norm(data):\n",
    "    return (data)/(max(data))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 531,
   "metadata": {},
   "outputs": [],
   "source": [
    "appa1 = pd.read_csv(\"data/appa1.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data\n",
    "\n",
    "| ts        | The time the data was taken (date time)                                                                      |\n",
    "|-----------|--------------------------------------------------------------------------------------------------------------|\n",
    "| Rs1 - Rs8 | Resistance value of all 8 sensors, usually paired the same way (1,2) (3,4)...                                |\n",
    "| Rh1 - Rh8 | Resistance value of the heaters, ideally should stay stable or correlated to tempurature                     |\n",
    "| Vh1 - Vh8 | Voltage of the heater                                                                                        |\n",
    "| T         | Temperature in C                                                                                             |\n",
    "| RH        | Relative Humidity                                                                                            |\n",
    "| P         | Air pressure                                                                                                 |\n",
    "| BME       | Volatile Organic Compounds (VOC), from the BME280 sensor. Likely unrelated but added because its extra data! |"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 532,
   "metadata": {},
   "outputs": [],
   "source": [
    "appa1.columns\n",
    "appa1 = appa1.drop(columns='Unnamed: 0')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "appa1.at[381849, \"Time\"] = pd.to_datetime(\"Tue Jan 12 2021 15:39:26 GMT+0000\") + pd.to_timedelta(1, unit=\"min\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 513,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sensing_,material</th>\n",
       "      <th>signal_res</th>\n",
       "      <th>heater_res</th>\n",
       "      <th>heater_V</th>\n",
       "      <th>Temperature</th>\n",
       "      <th>Relative_Humidity</th>\n",
       "      <th>Pressure</th>\n",
       "      <th>time_cos</th>\n",
       "      <th>time_sin</th>\n",
       "      <th>date_cos</th>\n",
       "      <th>date_sin</th>\n",
       "      <th>Y</th>\n",
       "      <th>age</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ts</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2021-01-13 00:00:00</th>\n",
       "      <td>ZnOR</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.261799</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.282902</td>\n",
       "      <td>0.440593</td>\n",
       "      <td>2021</td>\n",
       "      <td>0 days 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-01-13 00:00:00</th>\n",
       "      <td>ZnOR</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.261799</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.282902</td>\n",
       "      <td>0.440593</td>\n",
       "      <td>2021</td>\n",
       "      <td>0 days 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-01-13 00:00:00</th>\n",
       "      <td>LaFeO3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.261799</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.282902</td>\n",
       "      <td>0.440593</td>\n",
       "      <td>2021</td>\n",
       "      <td>0 days 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-01-13 00:00:00</th>\n",
       "      <td>LaFeO3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.261799</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.282902</td>\n",
       "      <td>0.440593</td>\n",
       "      <td>2021</td>\n",
       "      <td>0 days 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-01-13 00:00:00</th>\n",
       "      <td>WO3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.261799</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.282902</td>\n",
       "      <td>0.440593</td>\n",
       "      <td>2021</td>\n",
       "      <td>0 days 00:00:00</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-07-25 14:00:00</th>\n",
       "      <td>WO3</td>\n",
       "      <td>215141240.0</td>\n",
       "      <td>147.50</td>\n",
       "      <td>2.565</td>\n",
       "      <td>41.85</td>\n",
       "      <td>19.95</td>\n",
       "      <td>985.55</td>\n",
       "      <td>0.035798</td>\n",
       "      <td>0.25934</td>\n",
       "      <td>0.394742</td>\n",
       "      <td>0.343997</td>\n",
       "      <td>2022</td>\n",
       "      <td>452 days 14:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-07-25 14:00:00</th>\n",
       "      <td>ZnOR</td>\n",
       "      <td>499000000.0</td>\n",
       "      <td>128.45</td>\n",
       "      <td>3.890</td>\n",
       "      <td>41.85</td>\n",
       "      <td>19.95</td>\n",
       "      <td>985.55</td>\n",
       "      <td>0.035798</td>\n",
       "      <td>0.25934</td>\n",
       "      <td>0.394742</td>\n",
       "      <td>0.343997</td>\n",
       "      <td>2022</td>\n",
       "      <td>558 days 14:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-07-25 14:00:00</th>\n",
       "      <td>ZnOR</td>\n",
       "      <td>499000000.0</td>\n",
       "      <td>129.15</td>\n",
       "      <td>4.020</td>\n",
       "      <td>41.85</td>\n",
       "      <td>19.95</td>\n",
       "      <td>985.55</td>\n",
       "      <td>0.035798</td>\n",
       "      <td>0.25934</td>\n",
       "      <td>0.394742</td>\n",
       "      <td>0.343997</td>\n",
       "      <td>2022</td>\n",
       "      <td>558 days 14:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-07-25 14:00:00</th>\n",
       "      <td>SmFeO3</td>\n",
       "      <td>32087803.0</td>\n",
       "      <td>103.80</td>\n",
       "      <td>3.950</td>\n",
       "      <td>41.85</td>\n",
       "      <td>19.95</td>\n",
       "      <td>985.55</td>\n",
       "      <td>0.035798</td>\n",
       "      <td>0.25934</td>\n",
       "      <td>0.394742</td>\n",
       "      <td>0.343997</td>\n",
       "      <td>2022</td>\n",
       "      <td>192 days 14:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-07-25 14:00:00</th>\n",
       "      <td>STN</td>\n",
       "      <td>286724592.0</td>\n",
       "      <td>108.80</td>\n",
       "      <td>4.330</td>\n",
       "      <td>41.85</td>\n",
       "      <td>19.95</td>\n",
       "      <td>985.55</td>\n",
       "      <td>0.035798</td>\n",
       "      <td>0.25934</td>\n",
       "      <td>0.394742</td>\n",
       "      <td>0.343997</td>\n",
       "      <td>2022</td>\n",
       "      <td>390 days 14:00:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>107256 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                    sensing_,material   signal_res  heater_res  heater_V  \\\n",
       "ts                                                                         \n",
       "2021-01-13 00:00:00              ZnOR          NaN         NaN       NaN   \n",
       "2021-01-13 00:00:00              ZnOR          NaN         NaN       NaN   \n",
       "2021-01-13 00:00:00            LaFeO3          NaN         NaN       NaN   \n",
       "2021-01-13 00:00:00            LaFeO3          NaN         NaN       NaN   \n",
       "2021-01-13 00:00:00               WO3          NaN         NaN       NaN   \n",
       "...                               ...          ...         ...       ...   \n",
       "2022-07-25 14:00:00               WO3  215141240.0      147.50     2.565   \n",
       "2022-07-25 14:00:00              ZnOR  499000000.0      128.45     3.890   \n",
       "2022-07-25 14:00:00              ZnOR  499000000.0      129.15     4.020   \n",
       "2022-07-25 14:00:00            SmFeO3   32087803.0      103.80     3.950   \n",
       "2022-07-25 14:00:00               STN  286724592.0      108.80     4.330   \n",
       "\n",
       "                     Temperature  Relative_Humidity  Pressure  time_cos  \\\n",
       "ts                                                                        \n",
       "2021-01-13 00:00:00          NaN                NaN       NaN  0.261799   \n",
       "2021-01-13 00:00:00          NaN                NaN       NaN  0.261799   \n",
       "2021-01-13 00:00:00          NaN                NaN       NaN  0.261799   \n",
       "2021-01-13 00:00:00          NaN                NaN       NaN  0.261799   \n",
       "2021-01-13 00:00:00          NaN                NaN       NaN  0.261799   \n",
       "...                          ...                ...       ...       ...   \n",
       "2022-07-25 14:00:00        41.85              19.95    985.55  0.035798   \n",
       "2022-07-25 14:00:00        41.85              19.95    985.55  0.035798   \n",
       "2022-07-25 14:00:00        41.85              19.95    985.55  0.035798   \n",
       "2022-07-25 14:00:00        41.85              19.95    985.55  0.035798   \n",
       "2022-07-25 14:00:00        41.85              19.95    985.55  0.035798   \n",
       "\n",
       "                     time_sin  date_cos  date_sin     Y                age  \n",
       "ts                                                                          \n",
       "2021-01-13 00:00:00   0.00000  0.282902  0.440593  2021    0 days 00:00:00  \n",
       "2021-01-13 00:00:00   0.00000  0.282902  0.440593  2021    0 days 00:00:00  \n",
       "2021-01-13 00:00:00   0.00000  0.282902  0.440593  2021    0 days 00:00:00  \n",
       "2021-01-13 00:00:00   0.00000  0.282902  0.440593  2021    0 days 00:00:00  \n",
       "2021-01-13 00:00:00   0.00000  0.282902  0.440593  2021    0 days 00:00:00  \n",
       "...                       ...       ...       ...   ...                ...  \n",
       "2022-07-25 14:00:00   0.25934  0.394742  0.343997  2022  452 days 14:00:00  \n",
       "2022-07-25 14:00:00   0.25934  0.394742  0.343997  2022  558 days 14:00:00  \n",
       "2022-07-25 14:00:00   0.25934  0.394742  0.343997  2022  558 days 14:00:00  \n",
       "2022-07-25 14:00:00   0.25934  0.394742  0.343997  2022  192 days 14:00:00  \n",
       "2022-07-25 14:00:00   0.25934  0.394742  0.343997  2022  390 days 14:00:00  \n",
       "\n",
       "[107256 rows x 13 columns]"
      ]
     },
     "execution_count": 513,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "appa1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 533,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 33%|███▎      | 386391/1183842 [00:10<00:17, 46578.95it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "381849 Tue Jan 12 2021 15:39:26 GMT+0000 (Greenwich Mean Time) nan\n",
      "381855 Tue Jan 12 2021 18:03:32 GMT+0000 (Greenwich Mean Time) nan\n",
      "381868 Wed Jan 13 2021 08:57:04 GMT+0000 (Greenwich Mean Time) nan\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
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      " 46%|████▌     | 540626/1183842 [00:13<00:13, 46315.07it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "534385 Thu Apr 29 2021 13:16:26 GMT+0100 (British Summer Time) nan\n"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      " 81%|████████  | 957391/1183842 [00:22<00:04, 48467.05it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "952173 Mon Feb 14 2022 07:01:20 GMT+0000 (Greenwich Mean Time) nan\n"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      " 97%|█████████▋| 1143596/1183842 [00:26<00:00, 48755.00it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1134025 Mon Jun 20 2022 21:27:15 GMT+0100 (British Summer Time) nan\n"
     ]
    },
    {
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     "output_type": "stream",
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      " 97%|█████████▋| 1153356/1183842 [00:26<00:00, 48651.66it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1147942 Thu Jun 30 2022 14:05:23 GMT+0100 (British Summer Time) nan\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 1183842/1183842 [00:27<00:00, 43489.03it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1179259 Fri Jul 22 2022 09:14:22 GMT+0100 (British Summer Time) nan\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "appa1 = appa1.rename(columns = {\"ts\": \"Time\", \"T\": \"Temperature\", \"RH\": \"Relative_Humidity\", \"P\": \"Pressure\", \"T\": \"Temperature\", \"T\": \"Temperature\", \"BME\": \"VOC\"})\n",
    "\n",
    "# interpolate NaN values\n",
    "for i, row in tqdm(appa1.iterrows(), total=len(appa1)):\n",
    "    if type(row.Time) != str:\n",
    "        print(i, appa1.iloc[i-1].Time, appa1.iloc[i].Time)\n",
    "        appa1.at[i, \"Time\"] = pd.to_datetime(\" \".join(appa1.iloc[i-1].Time.split(\" \")[:6])) + pd.to_timedelta(1, unit=\"m\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 534,
   "metadata": {},
   "outputs": [],
   "source": [
    "appa1.Time = pd.to_datetime(appa1.Time.map(lambda x:  \" \".join(x.split(\" \")[:6]) if type(x) == str else x), utc=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 535,
   "metadata": {},
   "outputs": [],
   "source": [
    "appa1 = appa1.set_index(\"Time\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 306,
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "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(appa1_time.Rs1)\n",
    "plt.xticks(rotation=45)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 536,
   "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>ZnOR_1</th>\n",
       "      <th>ZnOR_2</th>\n",
       "      <th>LaFeO3_1</th>\n",
       "      <th>LaFeO3_2</th>\n",
       "      <th>WO3_1</th>\n",
       "      <th>WO3_2</th>\n",
       "      <th>ZnOR_heatR_1</th>\n",
       "      <th>ZnOR_heatR_2</th>\n",
       "      <th>LaFeO3_heatR_1</th>\n",
       "      <th>LaFeO3_heatR_2</th>\n",
       "      <th>...</th>\n",
       "      <th>ZnOR_heatV_2</th>\n",
       "      <th>LaFeO3_heatV_1</th>\n",
       "      <th>LaFeO3_heatV_2</th>\n",
       "      <th>WO3_heatV_1</th>\n",
       "      <th>WO3_heatV_2</th>\n",
       "      <th>Temperature</th>\n",
       "      <th>Relative_Humidity</th>\n",
       "      <th>Pressure</th>\n",
       "      <th>VOC</th>\n",
       "      <th>TimeSinceCreated</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Time</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2021-01-14 00:00:39+00:00</th>\n",
       "      <td>228164.0</td>\n",
       "      <td>127363.0</td>\n",
       "      <td>639265.0</td>\n",
       "      <td>513355.0</td>\n",
       "      <td>920201.0</td>\n",
       "      <td>1392602.0</td>\n",
       "      <td>102.1</td>\n",
       "      <td>99.4</td>\n",
       "      <td>88.2</td>\n",
       "      <td>87.5</td>\n",
       "      <td>...</td>\n",
       "      <td>3.98</td>\n",
       "      <td>3.01</td>\n",
       "      <td>3.07</td>\n",
       "      <td>4.03</td>\n",
       "      <td>4.03</td>\n",
       "      <td>48.1</td>\n",
       "      <td>3.8</td>\n",
       "      <td>988.4</td>\n",
       "      <td>2983.74</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-01-14 00:01:39+00:00</th>\n",
       "      <td>228571.0</td>\n",
       "      <td>127363.0</td>\n",
       "      <td>640320.0</td>\n",
       "      <td>512697.0</td>\n",
       "      <td>919257.0</td>\n",
       "      <td>1390009.0</td>\n",
       "      <td>102.1</td>\n",
       "      <td>99.4</td>\n",
       "      <td>88.2</td>\n",
       "      <td>87.5</td>\n",
       "      <td>...</td>\n",
       "      <td>3.99</td>\n",
       "      <td>3.01</td>\n",
       "      <td>3.07</td>\n",
       "      <td>4.02</td>\n",
       "      <td>4.03</td>\n",
       "      <td>48.1</td>\n",
       "      <td>3.8</td>\n",
       "      <td>988.6</td>\n",
       "      <td>2998.87</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-01-14 00:02:39+00:00</th>\n",
       "      <td>228164.0</td>\n",
       "      <td>126984.0</td>\n",
       "      <td>639648.0</td>\n",
       "      <td>513479.0</td>\n",
       "      <td>918598.0</td>\n",
       "      <td>1391737.0</td>\n",
       "      <td>102.1</td>\n",
       "      <td>99.4</td>\n",
       "      <td>88.2</td>\n",
       "      <td>87.5</td>\n",
       "      <td>...</td>\n",
       "      <td>3.98</td>\n",
       "      <td>3.01</td>\n",
       "      <td>3.07</td>\n",
       "      <td>4.03</td>\n",
       "      <td>4.03</td>\n",
       "      <td>48.2</td>\n",
       "      <td>3.8</td>\n",
       "      <td>988.5</td>\n",
       "      <td>2995.5</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-01-14 00:03:39+00:00</th>\n",
       "      <td>228164.0</td>\n",
       "      <td>126984.0</td>\n",
       "      <td>638022.0</td>\n",
       "      <td>512307.0</td>\n",
       "      <td>918033.0</td>\n",
       "      <td>1388286.0</td>\n",
       "      <td>102.1</td>\n",
       "      <td>99.4</td>\n",
       "      <td>88.2</td>\n",
       "      <td>87.5</td>\n",
       "      <td>...</td>\n",
       "      <td>3.98</td>\n",
       "      <td>3.01</td>\n",
       "      <td>3.07</td>\n",
       "      <td>4.02</td>\n",
       "      <td>4.03</td>\n",
       "      <td>48.2</td>\n",
       "      <td>3.7</td>\n",
       "      <td>988.6</td>\n",
       "      <td>3009.05</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-01-14 00:04:39+00:00</th>\n",
       "      <td>227758.0</td>\n",
       "      <td>126858.0</td>\n",
       "      <td>638914.0</td>\n",
       "      <td>512492.0</td>\n",
       "      <td>916437.0</td>\n",
       "      <td>1388502.0</td>\n",
       "      <td>102.1</td>\n",
       "      <td>99.4</td>\n",
       "      <td>88.1</td>\n",
       "      <td>87.5</td>\n",
       "      <td>...</td>\n",
       "      <td>3.98</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.07</td>\n",
       "      <td>4.02</td>\n",
       "      <td>4.03</td>\n",
       "      <td>48.2</td>\n",
       "      <td>3.7</td>\n",
       "      <td>988.5</td>\n",
       "      <td>3003.95</td>\n",
       "      <td>0</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>2022-07-25 14:57:59+00:00</th>\n",
       "      <td>499000000.0</td>\n",
       "      <td>499000000.0</td>\n",
       "      <td>11636364.0</td>\n",
       "      <td>744186.0</td>\n",
       "      <td>32080200.0</td>\n",
       "      <td>209836064.0</td>\n",
       "      <td>128.5</td>\n",
       "      <td>129.0</td>\n",
       "      <td>500.0</td>\n",
       "      <td>111.3</td>\n",
       "      <td>...</td>\n",
       "      <td>4.03</td>\n",
       "      <td>3.91</td>\n",
       "      <td>3.65</td>\n",
       "      <td>2.39</td>\n",
       "      <td>2.57</td>\n",
       "      <td>41.5</td>\n",
       "      <td>19.5</td>\n",
       "      <td>985.5</td>\n",
       "      <td>5467.63</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-07-25 14:58:59+00:00</th>\n",
       "      <td>499000000.0</td>\n",
       "      <td>499000000.0</td>\n",
       "      <td>11636364.0</td>\n",
       "      <td>739884.0</td>\n",
       "      <td>32820512.0</td>\n",
       "      <td>224561408.0</td>\n",
       "      <td>128.6</td>\n",
       "      <td>129.0</td>\n",
       "      <td>500.0</td>\n",
       "      <td>111.2</td>\n",
       "      <td>...</td>\n",
       "      <td>4.03</td>\n",
       "      <td>3.91</td>\n",
       "      <td>3.64</td>\n",
       "      <td>2.39</td>\n",
       "      <td>2.57</td>\n",
       "      <td>41.6</td>\n",
       "      <td>19.1</td>\n",
       "      <td>985.5</td>\n",
       "      <td>5501.55</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-07-25 14:59:59+00:00</th>\n",
       "      <td>499000000.0</td>\n",
       "      <td>499000000.0</td>\n",
       "      <td>11636364.0</td>\n",
       "      <td>748538.0</td>\n",
       "      <td>32653062.0</td>\n",
       "      <td>220689648.0</td>\n",
       "      <td>128.5</td>\n",
       "      <td>129.1</td>\n",
       "      <td>500.0</td>\n",
       "      <td>111.2</td>\n",
       "      <td>...</td>\n",
       "      <td>4.03</td>\n",
       "      <td>3.91</td>\n",
       "      <td>3.64</td>\n",
       "      <td>2.39</td>\n",
       "      <td>2.57</td>\n",
       "      <td>41.7</td>\n",
       "      <td>19.4</td>\n",
       "      <td>985.5</td>\n",
       "      <td>5490.2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-07-25 15:00:59+00:00</th>\n",
       "      <td>499000000.0</td>\n",
       "      <td>499000000.0</td>\n",
       "      <td>11636364.0</td>\n",
       "      <td>752941.0</td>\n",
       "      <td>32405064.0</td>\n",
       "      <td>213333328.0</td>\n",
       "      <td>128.4</td>\n",
       "      <td>128.9</td>\n",
       "      <td>500.0</td>\n",
       "      <td>111.1</td>\n",
       "      <td>...</td>\n",
       "      <td>4.02</td>\n",
       "      <td>3.91</td>\n",
       "      <td>3.64</td>\n",
       "      <td>2.39</td>\n",
       "      <td>2.57</td>\n",
       "      <td>41.8</td>\n",
       "      <td>20.0</td>\n",
       "      <td>985.6</td>\n",
       "      <td>5507.25</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-07-25 15:02:00+00:00</th>\n",
       "      <td>499000000.0</td>\n",
       "      <td>499000000.0</td>\n",
       "      <td>11636364.0</td>\n",
       "      <td>752941.0</td>\n",
       "      <td>32989690.0</td>\n",
       "      <td>216949152.0</td>\n",
       "      <td>128.5</td>\n",
       "      <td>129.4</td>\n",
       "      <td>500.0</td>\n",
       "      <td>111.2</td>\n",
       "      <td>...</td>\n",
       "      <td>4.02</td>\n",
       "      <td>3.91</td>\n",
       "      <td>3.64</td>\n",
       "      <td>2.39</td>\n",
       "      <td>2.56</td>\n",
       "      <td>41.9</td>\n",
       "      <td>19.9</td>\n",
       "      <td>985.5</td>\n",
       "      <td>5518.67</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>801082 rows × 23 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                ZnOR_1       ZnOR_2    LaFeO3_1  LaFeO3_2  \\\n",
       "Time                                                                        \n",
       "2021-01-14 00:00:39+00:00     228164.0     127363.0    639265.0  513355.0   \n",
       "2021-01-14 00:01:39+00:00     228571.0     127363.0    640320.0  512697.0   \n",
       "2021-01-14 00:02:39+00:00     228164.0     126984.0    639648.0  513479.0   \n",
       "2021-01-14 00:03:39+00:00     228164.0     126984.0    638022.0  512307.0   \n",
       "2021-01-14 00:04:39+00:00     227758.0     126858.0    638914.0  512492.0   \n",
       "...                                ...          ...         ...       ...   \n",
       "2022-07-25 14:57:59+00:00  499000000.0  499000000.0  11636364.0  744186.0   \n",
       "2022-07-25 14:58:59+00:00  499000000.0  499000000.0  11636364.0  739884.0   \n",
       "2022-07-25 14:59:59+00:00  499000000.0  499000000.0  11636364.0  748538.0   \n",
       "2022-07-25 15:00:59+00:00  499000000.0  499000000.0  11636364.0  752941.0   \n",
       "2022-07-25 15:02:00+00:00  499000000.0  499000000.0  11636364.0  752941.0   \n",
       "\n",
       "                                WO3_1        WO3_2 ZnOR_heatR_1 ZnOR_heatR_2  \\\n",
       "Time                                                                           \n",
       "2021-01-14 00:00:39+00:00    920201.0    1392602.0        102.1         99.4   \n",
       "2021-01-14 00:01:39+00:00    919257.0    1390009.0        102.1         99.4   \n",
       "2021-01-14 00:02:39+00:00    918598.0    1391737.0        102.1         99.4   \n",
       "2021-01-14 00:03:39+00:00    918033.0    1388286.0        102.1         99.4   \n",
       "2021-01-14 00:04:39+00:00    916437.0    1388502.0        102.1         99.4   \n",
       "...                               ...          ...          ...          ...   \n",
       "2022-07-25 14:57:59+00:00  32080200.0  209836064.0        128.5        129.0   \n",
       "2022-07-25 14:58:59+00:00  32820512.0  224561408.0        128.6        129.0   \n",
       "2022-07-25 14:59:59+00:00  32653062.0  220689648.0        128.5        129.1   \n",
       "2022-07-25 15:00:59+00:00  32405064.0  213333328.0        128.4        128.9   \n",
       "2022-07-25 15:02:00+00:00  32989690.0  216949152.0        128.5        129.4   \n",
       "\n",
       "                          LaFeO3_heatR_1 LaFeO3_heatR_2  ... ZnOR_heatV_2  \\\n",
       "Time                                                     ...                \n",
       "2021-01-14 00:00:39+00:00           88.2           87.5  ...         3.98   \n",
       "2021-01-14 00:01:39+00:00           88.2           87.5  ...         3.99   \n",
       "2021-01-14 00:02:39+00:00           88.2           87.5  ...         3.98   \n",
       "2021-01-14 00:03:39+00:00           88.2           87.5  ...         3.98   \n",
       "2021-01-14 00:04:39+00:00           88.1           87.5  ...         3.98   \n",
       "...                                  ...            ...  ...          ...   \n",
       "2022-07-25 14:57:59+00:00          500.0          111.3  ...         4.03   \n",
       "2022-07-25 14:58:59+00:00          500.0          111.2  ...         4.03   \n",
       "2022-07-25 14:59:59+00:00          500.0          111.2  ...         4.03   \n",
       "2022-07-25 15:00:59+00:00          500.0          111.1  ...         4.02   \n",
       "2022-07-25 15:02:00+00:00          500.0          111.2  ...         4.02   \n",
       "\n",
       "                          LaFeO3_heatV_1 LaFeO3_heatV_2 WO3_heatV_1  \\\n",
       "Time                                                                  \n",
       "2021-01-14 00:00:39+00:00           3.01           3.07        4.03   \n",
       "2021-01-14 00:01:39+00:00           3.01           3.07        4.02   \n",
       "2021-01-14 00:02:39+00:00           3.01           3.07        4.03   \n",
       "2021-01-14 00:03:39+00:00           3.01           3.07        4.02   \n",
       "2021-01-14 00:04:39+00:00            3.0           3.07        4.02   \n",
       "...                                  ...            ...         ...   \n",
       "2022-07-25 14:57:59+00:00           3.91           3.65        2.39   \n",
       "2022-07-25 14:58:59+00:00           3.91           3.64        2.39   \n",
       "2022-07-25 14:59:59+00:00           3.91           3.64        2.39   \n",
       "2022-07-25 15:00:59+00:00           3.91           3.64        2.39   \n",
       "2022-07-25 15:02:00+00:00           3.91           3.64        2.39   \n",
       "\n",
       "                          WO3_heatV_2 Temperature Relative_Humidity Pressure  \\\n",
       "Time                                                                           \n",
       "2021-01-14 00:00:39+00:00        4.03        48.1               3.8    988.4   \n",
       "2021-01-14 00:01:39+00:00        4.03        48.1               3.8    988.6   \n",
       "2021-01-14 00:02:39+00:00        4.03        48.2               3.8    988.5   \n",
       "2021-01-14 00:03:39+00:00        4.03        48.2               3.7    988.6   \n",
       "2021-01-14 00:04:39+00:00        4.03        48.2               3.7    988.5   \n",
       "...                               ...         ...               ...      ...   \n",
       "2022-07-25 14:57:59+00:00        2.57        41.5              19.5    985.5   \n",
       "2022-07-25 14:58:59+00:00        2.57        41.6              19.1    985.5   \n",
       "2022-07-25 14:59:59+00:00        2.57        41.7              19.4    985.5   \n",
       "2022-07-25 15:00:59+00:00        2.57        41.8              20.0    985.6   \n",
       "2022-07-25 15:02:00+00:00        2.56        41.9              19.9    985.5   \n",
       "\n",
       "                               VOC TimeSinceCreated  \n",
       "Time                                                 \n",
       "2021-01-14 00:00:39+00:00  2983.74                0  \n",
       "2021-01-14 00:01:39+00:00  2998.87                0  \n",
       "2021-01-14 00:02:39+00:00   2995.5                0  \n",
       "2021-01-14 00:03:39+00:00  3009.05                0  \n",
       "2021-01-14 00:04:39+00:00  3003.95                0  \n",
       "...                            ...              ...  \n",
       "2022-07-25 14:57:59+00:00  5467.63                0  \n",
       "2022-07-25 14:58:59+00:00  5501.55                0  \n",
       "2022-07-25 14:59:59+00:00   5490.2                0  \n",
       "2022-07-25 15:00:59+00:00  5507.25                0  \n",
       "2022-07-25 15:02:00+00:00  5518.67                0  \n",
       "\n",
       "[801082 rows x 23 columns]"
      ]
     },
     "execution_count": 536,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "appa_clean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 459,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|█████████▉| 19722/19729.7 [02:02<00:00, 150.70it/s]/usr/local/anaconda3/lib/python3.9/site-packages/tqdm/std.py:533: TqdmWarning: clamping frac to range [0, 1]\n",
      "  full_bar = Bar(frac,\n",
      "100%|██████████| 19730/19729.7 [02:02<00:00, 161.20it/s]\n"
     ]
    }
   ],
   "source": [
    "#appa1.columns\n",
    "appa1_hr = pd.DataFrame(columns = ['Time', 'Rs1', 'Rs2', 'Rs3', 'Rs4', 'Rs5', 'Rs6', 'Rs7', 'Rs8', 'Rh1',\n",
    "       'Rh2', 'Rh3', 'Rh4', 'Rh5', 'Rh6', 'Rh7', 'Rh8', 'Vh1', 'Vh2', 'Vh3',\n",
    "       'Vh4', 'Vh5', 'Vh6', 'Vh7', 'Vh8', 'Temperature', 'Relative_Humidity',\n",
    "       'Pressure', 'VOC'])\n",
    "\n",
    "for i in tqdm(range(0, len(appa1)-60, 60), total=int(len(appa1)-60)/60):\n",
    "       row = appa1.iloc[i:i+60].mean(axis=0)\n",
    "       temp = [appa1.iloc[i].Time]\n",
    "       temp[1:] = row\n",
    "       appa1_hr.loc[len(appa1_hr.index)] = temp\n",
    "       "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 413,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Time</th>\n",
       "      <th>Rs1</th>\n",
       "      <th>Rs2</th>\n",
       "      <th>Rs3</th>\n",
       "      <th>Rs4</th>\n",
       "      <th>Rs5</th>\n",
       "      <th>Rs6</th>\n",
       "      <th>Rs7</th>\n",
       "      <th>Rs8</th>\n",
       "      <th>Rh1</th>\n",
       "      <th>...</th>\n",
       "      <th>Vh3</th>\n",
       "      <th>Vh4</th>\n",
       "      <th>Vh5</th>\n",
       "      <th>Vh6</th>\n",
       "      <th>Vh7</th>\n",
       "      <th>Vh8</th>\n",
       "      <th>Temperature</th>\n",
       "      <th>Relative_Humidity</th>\n",
       "      <th>Pressure</th>\n",
       "      <th>VOC</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2019-08-26 18:15:38+00:00</td>\n",
       "      <td>8.442924e+06</td>\n",
       "      <td>8.519749e+07</td>\n",
       "      <td>3.660411e+08</td>\n",
       "      <td>3.550200e+08</td>\n",
       "      <td>4.990000e+08</td>\n",
       "      <td>4.990000e+08</td>\n",
       "      <td>4.990000e+08</td>\n",
       "      <td>4.990000e+08</td>\n",
       "      <td>76.730000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.353333</td>\n",
       "      <td>0.356500</td>\n",
       "      <td>0.351667</td>\n",
       "      <td>0.353333</td>\n",
       "      <td>0.355667</td>\n",
       "      <td>0.359500</td>\n",
       "      <td>27.643333</td>\n",
       "      <td>54.935000</td>\n",
       "      <td>988.243333</td>\n",
       "      <td>378.862667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2019-08-27 16:01:41+00:00</td>\n",
       "      <td>3.688220e+07</td>\n",
       "      <td>1.310720e+08</td>\n",
       "      <td>4.990000e+08</td>\n",
       "      <td>4.990000e+08</td>\n",
       "      <td>4.990000e+08</td>\n",
       "      <td>4.990000e+08</td>\n",
       "      <td>4.990000e+08</td>\n",
       "      <td>4.990000e+08</td>\n",
       "      <td>73.050000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.354333</td>\n",
       "      <td>0.357833</td>\n",
       "      <td>0.354167</td>\n",
       "      <td>0.358333</td>\n",
       "      <td>0.357833</td>\n",
       "      <td>0.365833</td>\n",
       "      <td>28.375000</td>\n",
       "      <td>53.660000</td>\n",
       "      <td>992.775000</td>\n",
       "      <td>502.152167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2019-08-27 17:02:33+00:00</td>\n",
       "      <td>1.543209e+07</td>\n",
       "      <td>3.426140e+07</td>\n",
       "      <td>1.266045e+08</td>\n",
       "      <td>1.270713e+08</td>\n",
       "      <td>4.582075e+08</td>\n",
       "      <td>4.566434e+08</td>\n",
       "      <td>2.093848e+08</td>\n",
       "      <td>1.768738e+08</td>\n",
       "      <td>108.778333</td>\n",
       "      <td>...</td>\n",
       "      <td>3.307833</td>\n",
       "      <td>3.326500</td>\n",
       "      <td>3.269167</td>\n",
       "      <td>3.283333</td>\n",
       "      <td>3.588667</td>\n",
       "      <td>3.365500</td>\n",
       "      <td>34.188333</td>\n",
       "      <td>41.591667</td>\n",
       "      <td>992.486667</td>\n",
       "      <td>482.208167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2019-08-27 18:03:26+00:00</td>\n",
       "      <td>2.104751e+06</td>\n",
       "      <td>3.888875e+06</td>\n",
       "      <td>4.551243e+06</td>\n",
       "      <td>4.694948e+06</td>\n",
       "      <td>4.990000e+08</td>\n",
       "      <td>4.770748e+08</td>\n",
       "      <td>1.220728e+08</td>\n",
       "      <td>7.505715e+07</td>\n",
       "      <td>121.210000</td>\n",
       "      <td>...</td>\n",
       "      <td>4.309667</td>\n",
       "      <td>4.331000</td>\n",
       "      <td>4.487833</td>\n",
       "      <td>4.506333</td>\n",
       "      <td>4.690833</td>\n",
       "      <td>4.368833</td>\n",
       "      <td>37.861667</td>\n",
       "      <td>33.023333</td>\n",
       "      <td>992.485000</td>\n",
       "      <td>488.320333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2019-08-27 19:04:19+00:00</td>\n",
       "      <td>1.932827e+06</td>\n",
       "      <td>3.206606e+06</td>\n",
       "      <td>5.333100e+06</td>\n",
       "      <td>5.011784e+06</td>\n",
       "      <td>4.339941e+08</td>\n",
       "      <td>3.442738e+08</td>\n",
       "      <td>1.231950e+08</td>\n",
       "      <td>7.588989e+07</td>\n",
       "      <td>121.126667</td>\n",
       "      <td>...</td>\n",
       "      <td>4.309500</td>\n",
       "      <td>4.332500</td>\n",
       "      <td>4.488333</td>\n",
       "      <td>4.507500</td>\n",
       "      <td>4.690833</td>\n",
       "      <td>4.369833</td>\n",
       "      <td>37.811667</td>\n",
       "      <td>33.371667</td>\n",
       "      <td>992.901667</td>\n",
       "      <td>500.728000</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>19725</th>\n",
       "      <td>2022-07-25 09:20:16+00:00</td>\n",
       "      <td>3.050078e+06</td>\n",
       "      <td>8.697393e+05</td>\n",
       "      <td>3.036945e+07</td>\n",
       "      <td>2.076281e+08</td>\n",
       "      <td>4.990000e+08</td>\n",
       "      <td>4.990000e+08</td>\n",
       "      <td>3.847504e+07</td>\n",
       "      <td>3.285689e+08</td>\n",
       "      <td>500.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>2.389667</td>\n",
       "      <td>2.569333</td>\n",
       "      <td>3.893667</td>\n",
       "      <td>4.021667</td>\n",
       "      <td>3.950167</td>\n",
       "      <td>4.332000</td>\n",
       "      <td>35.288333</td>\n",
       "      <td>32.296667</td>\n",
       "      <td>990.666667</td>\n",
       "      <td>2347.686333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19726</th>\n",
       "      <td>2022-07-25 10:20:24+00:00</td>\n",
       "      <td>4.317771e+06</td>\n",
       "      <td>8.062667e+05</td>\n",
       "      <td>4.255768e+07</td>\n",
       "      <td>3.072884e+08</td>\n",
       "      <td>4.990000e+08</td>\n",
       "      <td>4.990000e+08</td>\n",
       "      <td>3.158873e+07</td>\n",
       "      <td>3.526001e+08</td>\n",
       "      <td>500.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>2.389667</td>\n",
       "      <td>2.570500</td>\n",
       "      <td>3.893500</td>\n",
       "      <td>4.022500</td>\n",
       "      <td>3.949833</td>\n",
       "      <td>4.332333</td>\n",
       "      <td>35.653333</td>\n",
       "      <td>31.215000</td>\n",
       "      <td>990.000000</td>\n",
       "      <td>2931.085667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19727</th>\n",
       "      <td>2022-07-25 11:20:31+00:00</td>\n",
       "      <td>6.218481e+06</td>\n",
       "      <td>7.659899e+05</td>\n",
       "      <td>5.475404e+07</td>\n",
       "      <td>4.243341e+08</td>\n",
       "      <td>4.990000e+08</td>\n",
       "      <td>4.990000e+08</td>\n",
       "      <td>2.667558e+07</td>\n",
       "      <td>3.659995e+08</td>\n",
       "      <td>500.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>2.390000</td>\n",
       "      <td>2.569667</td>\n",
       "      <td>3.894333</td>\n",
       "      <td>4.022000</td>\n",
       "      <td>3.949333</td>\n",
       "      <td>4.332833</td>\n",
       "      <td>36.453333</td>\n",
       "      <td>29.051667</td>\n",
       "      <td>989.051667</td>\n",
       "      <td>3815.159167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19728</th>\n",
       "      <td>2022-07-25 12:20:39+00:00</td>\n",
       "      <td>8.626032e+06</td>\n",
       "      <td>7.399048e+05</td>\n",
       "      <td>6.034823e+07</td>\n",
       "      <td>4.886439e+08</td>\n",
       "      <td>4.990000e+08</td>\n",
       "      <td>4.990000e+08</td>\n",
       "      <td>2.301014e+07</td>\n",
       "      <td>3.719886e+08</td>\n",
       "      <td>500.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>2.389500</td>\n",
       "      <td>2.569333</td>\n",
       "      <td>3.893000</td>\n",
       "      <td>4.022833</td>\n",
       "      <td>3.950000</td>\n",
       "      <td>4.331333</td>\n",
       "      <td>37.165000</td>\n",
       "      <td>27.306667</td>\n",
       "      <td>988.058333</td>\n",
       "      <td>4870.664833</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19729</th>\n",
       "      <td>2022-07-25 13:20:47+00:00</td>\n",
       "      <td>9.732845e+06</td>\n",
       "      <td>7.310204e+05</td>\n",
       "      <td>5.870691e+07</td>\n",
       "      <td>4.758304e+08</td>\n",
       "      <td>4.990000e+08</td>\n",
       "      <td>4.990000e+08</td>\n",
       "      <td>2.188280e+07</td>\n",
       "      <td>3.706273e+08</td>\n",
       "      <td>500.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>2.389833</td>\n",
       "      <td>2.569667</td>\n",
       "      <td>3.895000</td>\n",
       "      <td>4.022000</td>\n",
       "      <td>3.950000</td>\n",
       "      <td>4.331167</td>\n",
       "      <td>37.680000</td>\n",
       "      <td>25.888333</td>\n",
       "      <td>986.900000</td>\n",
       "      <td>5538.896333</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>19730 rows × 29 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                           Time           Rs1           Rs2           Rs3  \\\n",
       "0     2019-08-26 18:15:38+00:00  8.442924e+06  8.519749e+07  3.660411e+08   \n",
       "1     2019-08-27 16:01:41+00:00  3.688220e+07  1.310720e+08  4.990000e+08   \n",
       "2     2019-08-27 17:02:33+00:00  1.543209e+07  3.426140e+07  1.266045e+08   \n",
       "3     2019-08-27 18:03:26+00:00  2.104751e+06  3.888875e+06  4.551243e+06   \n",
       "4     2019-08-27 19:04:19+00:00  1.932827e+06  3.206606e+06  5.333100e+06   \n",
       "...                         ...           ...           ...           ...   \n",
       "19725 2022-07-25 09:20:16+00:00  3.050078e+06  8.697393e+05  3.036945e+07   \n",
       "19726 2022-07-25 10:20:24+00:00  4.317771e+06  8.062667e+05  4.255768e+07   \n",
       "19727 2022-07-25 11:20:31+00:00  6.218481e+06  7.659899e+05  5.475404e+07   \n",
       "19728 2022-07-25 12:20:39+00:00  8.626032e+06  7.399048e+05  6.034823e+07   \n",
       "19729 2022-07-25 13:20:47+00:00  9.732845e+06  7.310204e+05  5.870691e+07   \n",
       "\n",
       "                Rs4           Rs5           Rs6           Rs7           Rs8  \\\n",
       "0      3.550200e+08  4.990000e+08  4.990000e+08  4.990000e+08  4.990000e+08   \n",
       "1      4.990000e+08  4.990000e+08  4.990000e+08  4.990000e+08  4.990000e+08   \n",
       "2      1.270713e+08  4.582075e+08  4.566434e+08  2.093848e+08  1.768738e+08   \n",
       "3      4.694948e+06  4.990000e+08  4.770748e+08  1.220728e+08  7.505715e+07   \n",
       "4      5.011784e+06  4.339941e+08  3.442738e+08  1.231950e+08  7.588989e+07   \n",
       "...             ...           ...           ...           ...           ...   \n",
       "19725  2.076281e+08  4.990000e+08  4.990000e+08  3.847504e+07  3.285689e+08   \n",
       "19726  3.072884e+08  4.990000e+08  4.990000e+08  3.158873e+07  3.526001e+08   \n",
       "19727  4.243341e+08  4.990000e+08  4.990000e+08  2.667558e+07  3.659995e+08   \n",
       "19728  4.886439e+08  4.990000e+08  4.990000e+08  2.301014e+07  3.719886e+08   \n",
       "19729  4.758304e+08  4.990000e+08  4.990000e+08  2.188280e+07  3.706273e+08   \n",
       "\n",
       "              Rh1  ...       Vh3       Vh4       Vh5       Vh6       Vh7  \\\n",
       "0       76.730000  ...  0.353333  0.356500  0.351667  0.353333  0.355667   \n",
       "1       73.050000  ...  0.354333  0.357833  0.354167  0.358333  0.357833   \n",
       "2      108.778333  ...  3.307833  3.326500  3.269167  3.283333  3.588667   \n",
       "3      121.210000  ...  4.309667  4.331000  4.487833  4.506333  4.690833   \n",
       "4      121.126667  ...  4.309500  4.332500  4.488333  4.507500  4.690833   \n",
       "...           ...  ...       ...       ...       ...       ...       ...   \n",
       "19725  500.000000  ...  2.389667  2.569333  3.893667  4.021667  3.950167   \n",
       "19726  500.000000  ...  2.389667  2.570500  3.893500  4.022500  3.949833   \n",
       "19727  500.000000  ...  2.390000  2.569667  3.894333  4.022000  3.949333   \n",
       "19728  500.000000  ...  2.389500  2.569333  3.893000  4.022833  3.950000   \n",
       "19729  500.000000  ...  2.389833  2.569667  3.895000  4.022000  3.950000   \n",
       "\n",
       "            Vh8  Temperature  Relative_Humidity    Pressure          VOC  \n",
       "0      0.359500    27.643333          54.935000  988.243333   378.862667  \n",
       "1      0.365833    28.375000          53.660000  992.775000   502.152167  \n",
       "2      3.365500    34.188333          41.591667  992.486667   482.208167  \n",
       "3      4.368833    37.861667          33.023333  992.485000   488.320333  \n",
       "4      4.369833    37.811667          33.371667  992.901667   500.728000  \n",
       "...         ...          ...                ...         ...          ...  \n",
       "19725  4.332000    35.288333          32.296667  990.666667  2347.686333  \n",
       "19726  4.332333    35.653333          31.215000  990.000000  2931.085667  \n",
       "19727  4.332833    36.453333          29.051667  989.051667  3815.159167  \n",
       "19728  4.331333    37.165000          27.306667  988.058333  4870.664833  \n",
       "19729  4.331167    37.680000          25.888333  986.900000  5538.896333  \n",
       "\n",
       "[19730 rows x 29 columns]"
      ]
     },
     "execution_count": 413,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "appa1_hr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 415,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Time</th>\n",
       "      <th>Rs1</th>\n",
       "      <th>Rs2</th>\n",
       "      <th>Rs3</th>\n",
       "      <th>Rs4</th>\n",
       "      <th>Rs5</th>\n",
       "      <th>Rs6</th>\n",
       "      <th>Rs7</th>\n",
       "      <th>Rs8</th>\n",
       "      <th>Rh1</th>\n",
       "      <th>...</th>\n",
       "      <th>Vh4</th>\n",
       "      <th>Vh5</th>\n",
       "      <th>Vh6</th>\n",
       "      <th>Vh7</th>\n",
       "      <th>Vh8</th>\n",
       "      <th>Temperature</th>\n",
       "      <th>Relative_Humidity</th>\n",
       "      <th>Pressure</th>\n",
       "      <th>VOC</th>\n",
       "      <th>time</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2019-08-26 18:15:38+00:00</td>\n",
       "      <td>8.442924e+06</td>\n",
       "      <td>8.519749e+07</td>\n",
       "      <td>3.660411e+08</td>\n",
       "      <td>3.550200e+08</td>\n",
       "      <td>4.990000e+08</td>\n",
       "      <td>4.990000e+08</td>\n",
       "      <td>4.990000e+08</td>\n",
       "      <td>4.990000e+08</td>\n",
       "      <td>76.730000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.356500</td>\n",
       "      <td>0.351667</td>\n",
       "      <td>0.353333</td>\n",
       "      <td>0.355667</td>\n",
       "      <td>0.359500</td>\n",
       "      <td>27.643333</td>\n",
       "      <td>54.935000</td>\n",
       "      <td>988.243333</td>\n",
       "      <td>378.862667</td>\n",
       "      <td>2020-07-31 01:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2019-08-27 16:01:41+00:00</td>\n",
       "      <td>3.688220e+07</td>\n",
       "      <td>1.310720e+08</td>\n",
       "      <td>4.990000e+08</td>\n",
       "      <td>4.990000e+08</td>\n",
       "      <td>4.990000e+08</td>\n",
       "      <td>4.990000e+08</td>\n",
       "      <td>4.990000e+08</td>\n",
       "      <td>4.990000e+08</td>\n",
       "      <td>73.050000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.357833</td>\n",
       "      <td>0.354167</td>\n",
       "      <td>0.358333</td>\n",
       "      <td>0.357833</td>\n",
       "      <td>0.365833</td>\n",
       "      <td>28.375000</td>\n",
       "      <td>53.660000</td>\n",
       "      <td>992.775000</td>\n",
       "      <td>502.152167</td>\n",
       "      <td>2020-07-31 02:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2019-08-27 17:02:33+00:00</td>\n",
       "      <td>1.543209e+07</td>\n",
       "      <td>3.426140e+07</td>\n",
       "      <td>1.266045e+08</td>\n",
       "      <td>1.270713e+08</td>\n",
       "      <td>4.582075e+08</td>\n",
       "      <td>4.566434e+08</td>\n",
       "      <td>2.093848e+08</td>\n",
       "      <td>1.768738e+08</td>\n",
       "      <td>108.778333</td>\n",
       "      <td>...</td>\n",
       "      <td>3.326500</td>\n",
       "      <td>3.269167</td>\n",
       "      <td>3.283333</td>\n",
       "      <td>3.588667</td>\n",
       "      <td>3.365500</td>\n",
       "      <td>34.188333</td>\n",
       "      <td>41.591667</td>\n",
       "      <td>992.486667</td>\n",
       "      <td>482.208167</td>\n",
       "      <td>2020-07-31 03:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2019-08-27 18:03:26+00:00</td>\n",
       "      <td>2.104751e+06</td>\n",
       "      <td>3.888875e+06</td>\n",
       "      <td>4.551243e+06</td>\n",
       "      <td>4.694948e+06</td>\n",
       "      <td>4.990000e+08</td>\n",
       "      <td>4.770748e+08</td>\n",
       "      <td>1.220728e+08</td>\n",
       "      <td>7.505715e+07</td>\n",
       "      <td>121.210000</td>\n",
       "      <td>...</td>\n",
       "      <td>4.331000</td>\n",
       "      <td>4.487833</td>\n",
       "      <td>4.506333</td>\n",
       "      <td>4.690833</td>\n",
       "      <td>4.368833</td>\n",
       "      <td>37.861667</td>\n",
       "      <td>33.023333</td>\n",
       "      <td>992.485000</td>\n",
       "      <td>488.320333</td>\n",
       "      <td>2020-07-31 04:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2019-08-27 19:04:19+00:00</td>\n",
       "      <td>1.932827e+06</td>\n",
       "      <td>3.206606e+06</td>\n",
       "      <td>5.333100e+06</td>\n",
       "      <td>5.011784e+06</td>\n",
       "      <td>4.339941e+08</td>\n",
       "      <td>3.442738e+08</td>\n",
       "      <td>1.231950e+08</td>\n",
       "      <td>7.588989e+07</td>\n",
       "      <td>121.126667</td>\n",
       "      <td>...</td>\n",
       "      <td>4.332500</td>\n",
       "      <td>4.488333</td>\n",
       "      <td>4.507500</td>\n",
       "      <td>4.690833</td>\n",
       "      <td>4.369833</td>\n",
       "      <td>37.811667</td>\n",
       "      <td>33.371667</td>\n",
       "      <td>992.901667</td>\n",
       "      <td>500.728000</td>\n",
       "      <td>2020-07-31 05:00:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 30 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                       Time           Rs1           Rs2           Rs3  \\\n",
       "0 2019-08-26 18:15:38+00:00  8.442924e+06  8.519749e+07  3.660411e+08   \n",
       "1 2019-08-27 16:01:41+00:00  3.688220e+07  1.310720e+08  4.990000e+08   \n",
       "2 2019-08-27 17:02:33+00:00  1.543209e+07  3.426140e+07  1.266045e+08   \n",
       "3 2019-08-27 18:03:26+00:00  2.104751e+06  3.888875e+06  4.551243e+06   \n",
       "4 2019-08-27 19:04:19+00:00  1.932827e+06  3.206606e+06  5.333100e+06   \n",
       "\n",
       "            Rs4           Rs5           Rs6           Rs7           Rs8  \\\n",
       "0  3.550200e+08  4.990000e+08  4.990000e+08  4.990000e+08  4.990000e+08   \n",
       "1  4.990000e+08  4.990000e+08  4.990000e+08  4.990000e+08  4.990000e+08   \n",
       "2  1.270713e+08  4.582075e+08  4.566434e+08  2.093848e+08  1.768738e+08   \n",
       "3  4.694948e+06  4.990000e+08  4.770748e+08  1.220728e+08  7.505715e+07   \n",
       "4  5.011784e+06  4.339941e+08  3.442738e+08  1.231950e+08  7.588989e+07   \n",
       "\n",
       "          Rh1  ...       Vh4       Vh5       Vh6       Vh7       Vh8  \\\n",
       "0   76.730000  ...  0.356500  0.351667  0.353333  0.355667  0.359500   \n",
       "1   73.050000  ...  0.357833  0.354167  0.358333  0.357833  0.365833   \n",
       "2  108.778333  ...  3.326500  3.269167  3.283333  3.588667  3.365500   \n",
       "3  121.210000  ...  4.331000  4.487833  4.506333  4.690833  4.368833   \n",
       "4  121.126667  ...  4.332500  4.488333  4.507500  4.690833  4.369833   \n",
       "\n",
       "   Temperature  Relative_Humidity    Pressure         VOC                time  \n",
       "0    27.643333          54.935000  988.243333  378.862667 2020-07-31 01:00:00  \n",
       "1    28.375000          53.660000  992.775000  502.152167 2020-07-31 02:00:00  \n",
       "2    34.188333          41.591667  992.486667  482.208167 2020-07-31 03:00:00  \n",
       "3    37.861667          33.023333  992.485000  488.320333 2020-07-31 04:00:00  \n",
       "4    37.811667          33.371667  992.901667  500.728000 2020-07-31 05:00:00  \n",
       "\n",
       "[5 rows x 30 columns]"
      ]
     },
     "execution_count": 415,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "appa1_hr.to_csv(\"exports/appa1_hr.csv\")\n",
    "appa1_gt = pd.read_csv(\"exports/appa1_gt_clean_withCO.csv\")\n",
    "appa1_marco = pd.read_csv(\"appa1_gt.csv\")\n",
    "appa1_hr['time'] = appa1_marco['Time']\n",
    "#appa1_hr.time = pd.to_datetime(appa1_hr.time)\n",
    "#appa1_hr.time = appa1_hr.time.dt.tz_localize(None)\n",
    "appa1_hr.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 416,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Time</th>\n",
       "      <th>Rs1</th>\n",
       "      <th>Rs2</th>\n",
       "      <th>Rs3</th>\n",
       "      <th>Rs4</th>\n",
       "      <th>Rs5</th>\n",
       "      <th>Rs6</th>\n",
       "      <th>Rs7</th>\n",
       "      <th>Rs8</th>\n",
       "      <th>Rh1</th>\n",
       "      <th>...</th>\n",
       "      <th>Vh4</th>\n",
       "      <th>Vh5</th>\n",
       "      <th>Vh6</th>\n",
       "      <th>Vh7</th>\n",
       "      <th>Vh8</th>\n",
       "      <th>Temperature</th>\n",
       "      <th>Relative_Humidity</th>\n",
       "      <th>Pressure</th>\n",
       "      <th>VOC</th>\n",
       "      <th>time</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2019-08-26 18:15:38+00:00</td>\n",
       "      <td>8.442924e+06</td>\n",
       "      <td>8.519749e+07</td>\n",
       "      <td>3.660411e+08</td>\n",
       "      <td>3.550200e+08</td>\n",
       "      <td>4.990000e+08</td>\n",
       "      <td>4.990000e+08</td>\n",
       "      <td>4.990000e+08</td>\n",
       "      <td>4.990000e+08</td>\n",
       "      <td>76.730000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.356500</td>\n",
       "      <td>0.351667</td>\n",
       "      <td>0.353333</td>\n",
       "      <td>0.355667</td>\n",
       "      <td>0.359500</td>\n",
       "      <td>27.643333</td>\n",
       "      <td>54.935000</td>\n",
       "      <td>988.243333</td>\n",
       "      <td>378.862667</td>\n",
       "      <td>2020-07-31 01:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2019-08-27 16:01:41+00:00</td>\n",
       "      <td>3.688220e+07</td>\n",
       "      <td>1.310720e+08</td>\n",
       "      <td>4.990000e+08</td>\n",
       "      <td>4.990000e+08</td>\n",
       "      <td>4.990000e+08</td>\n",
       "      <td>4.990000e+08</td>\n",
       "      <td>4.990000e+08</td>\n",
       "      <td>4.990000e+08</td>\n",
       "      <td>73.050000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.357833</td>\n",
       "      <td>0.354167</td>\n",
       "      <td>0.358333</td>\n",
       "      <td>0.357833</td>\n",
       "      <td>0.365833</td>\n",
       "      <td>28.375000</td>\n",
       "      <td>53.660000</td>\n",
       "      <td>992.775000</td>\n",
       "      <td>502.152167</td>\n",
       "      <td>2020-07-31 02:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2019-08-27 17:02:33+00:00</td>\n",
       "      <td>1.543209e+07</td>\n",
       "      <td>3.426140e+07</td>\n",
       "      <td>1.266045e+08</td>\n",
       "      <td>1.270713e+08</td>\n",
       "      <td>4.582075e+08</td>\n",
       "      <td>4.566434e+08</td>\n",
       "      <td>2.093848e+08</td>\n",
       "      <td>1.768738e+08</td>\n",
       "      <td>108.778333</td>\n",
       "      <td>...</td>\n",
       "      <td>3.326500</td>\n",
       "      <td>3.269167</td>\n",
       "      <td>3.283333</td>\n",
       "      <td>3.588667</td>\n",
       "      <td>3.365500</td>\n",
       "      <td>34.188333</td>\n",
       "      <td>41.591667</td>\n",
       "      <td>992.486667</td>\n",
       "      <td>482.208167</td>\n",
       "      <td>2020-07-31 03:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2019-08-27 18:03:26+00:00</td>\n",
       "      <td>2.104751e+06</td>\n",
       "      <td>3.888875e+06</td>\n",
       "      <td>4.551243e+06</td>\n",
       "      <td>4.694948e+06</td>\n",
       "      <td>4.990000e+08</td>\n",
       "      <td>4.770748e+08</td>\n",
       "      <td>1.220728e+08</td>\n",
       "      <td>7.505715e+07</td>\n",
       "      <td>121.210000</td>\n",
       "      <td>...</td>\n",
       "      <td>4.331000</td>\n",
       "      <td>4.487833</td>\n",
       "      <td>4.506333</td>\n",
       "      <td>4.690833</td>\n",
       "      <td>4.368833</td>\n",
       "      <td>37.861667</td>\n",
       "      <td>33.023333</td>\n",
       "      <td>992.485000</td>\n",
       "      <td>488.320333</td>\n",
       "      <td>2020-07-31 04:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2019-08-27 19:04:19+00:00</td>\n",
       "      <td>1.932827e+06</td>\n",
       "      <td>3.206606e+06</td>\n",
       "      <td>5.333100e+06</td>\n",
       "      <td>5.011784e+06</td>\n",
       "      <td>4.339941e+08</td>\n",
       "      <td>3.442738e+08</td>\n",
       "      <td>1.231950e+08</td>\n",
       "      <td>7.588989e+07</td>\n",
       "      <td>121.126667</td>\n",
       "      <td>...</td>\n",
       "      <td>4.332500</td>\n",
       "      <td>4.488333</td>\n",
       "      <td>4.507500</td>\n",
       "      <td>4.690833</td>\n",
       "      <td>4.369833</td>\n",
       "      <td>37.811667</td>\n",
       "      <td>33.371667</td>\n",
       "      <td>992.901667</td>\n",
       "      <td>500.728000</td>\n",
       "      <td>2020-07-31 05:00:00</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>19725</th>\n",
       "      <td>2022-07-25 09:20:16+00:00</td>\n",
       "      <td>3.050078e+06</td>\n",
       "      <td>8.697393e+05</td>\n",
       "      <td>3.036945e+07</td>\n",
       "      <td>2.076281e+08</td>\n",
       "      <td>4.990000e+08</td>\n",
       "      <td>4.990000e+08</td>\n",
       "      <td>3.847504e+07</td>\n",
       "      <td>3.285689e+08</td>\n",
       "      <td>500.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>2.569333</td>\n",
       "      <td>3.893667</td>\n",
       "      <td>4.021667</td>\n",
       "      <td>3.950167</td>\n",
       "      <td>4.332000</td>\n",
       "      <td>35.288333</td>\n",
       "      <td>32.296667</td>\n",
       "      <td>990.666667</td>\n",
       "      <td>2347.686333</td>\n",
       "      <td>NaT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19726</th>\n",
       "      <td>2022-07-25 10:20:24+00:00</td>\n",
       "      <td>4.317771e+06</td>\n",
       "      <td>8.062667e+05</td>\n",
       "      <td>4.255768e+07</td>\n",
       "      <td>3.072884e+08</td>\n",
       "      <td>4.990000e+08</td>\n",
       "      <td>4.990000e+08</td>\n",
       "      <td>3.158873e+07</td>\n",
       "      <td>3.526001e+08</td>\n",
       "      <td>500.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>2.570500</td>\n",
       "      <td>3.893500</td>\n",
       "      <td>4.022500</td>\n",
       "      <td>3.949833</td>\n",
       "      <td>4.332333</td>\n",
       "      <td>35.653333</td>\n",
       "      <td>31.215000</td>\n",
       "      <td>990.000000</td>\n",
       "      <td>2931.085667</td>\n",
       "      <td>NaT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19727</th>\n",
       "      <td>2022-07-25 11:20:31+00:00</td>\n",
       "      <td>6.218481e+06</td>\n",
       "      <td>7.659899e+05</td>\n",
       "      <td>5.475404e+07</td>\n",
       "      <td>4.243341e+08</td>\n",
       "      <td>4.990000e+08</td>\n",
       "      <td>4.990000e+08</td>\n",
       "      <td>2.667558e+07</td>\n",
       "      <td>3.659995e+08</td>\n",
       "      <td>500.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>2.569667</td>\n",
       "      <td>3.894333</td>\n",
       "      <td>4.022000</td>\n",
       "      <td>3.949333</td>\n",
       "      <td>4.332833</td>\n",
       "      <td>36.453333</td>\n",
       "      <td>29.051667</td>\n",
       "      <td>989.051667</td>\n",
       "      <td>3815.159167</td>\n",
       "      <td>NaT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19728</th>\n",
       "      <td>2022-07-25 12:20:39+00:00</td>\n",
       "      <td>8.626032e+06</td>\n",
       "      <td>7.399048e+05</td>\n",
       "      <td>6.034823e+07</td>\n",
       "      <td>4.886439e+08</td>\n",
       "      <td>4.990000e+08</td>\n",
       "      <td>4.990000e+08</td>\n",
       "      <td>2.301014e+07</td>\n",
       "      <td>3.719886e+08</td>\n",
       "      <td>500.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>2.569333</td>\n",
       "      <td>3.893000</td>\n",
       "      <td>4.022833</td>\n",
       "      <td>3.950000</td>\n",
       "      <td>4.331333</td>\n",
       "      <td>37.165000</td>\n",
       "      <td>27.306667</td>\n",
       "      <td>988.058333</td>\n",
       "      <td>4870.664833</td>\n",
       "      <td>NaT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19729</th>\n",
       "      <td>2022-07-25 13:20:47+00:00</td>\n",
       "      <td>9.732845e+06</td>\n",
       "      <td>7.310204e+05</td>\n",
       "      <td>5.870691e+07</td>\n",
       "      <td>4.758304e+08</td>\n",
       "      <td>4.990000e+08</td>\n",
       "      <td>4.990000e+08</td>\n",
       "      <td>2.188280e+07</td>\n",
       "      <td>3.706273e+08</td>\n",
       "      <td>500.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>2.569667</td>\n",
       "      <td>3.895000</td>\n",
       "      <td>4.022000</td>\n",
       "      <td>3.950000</td>\n",
       "      <td>4.331167</td>\n",
       "      <td>37.680000</td>\n",
       "      <td>25.888333</td>\n",
       "      <td>986.900000</td>\n",
       "      <td>5538.896333</td>\n",
       "      <td>NaT</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>19730 rows × 30 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                           Time           Rs1           Rs2           Rs3  \\\n",
       "0     2019-08-26 18:15:38+00:00  8.442924e+06  8.519749e+07  3.660411e+08   \n",
       "1     2019-08-27 16:01:41+00:00  3.688220e+07  1.310720e+08  4.990000e+08   \n",
       "2     2019-08-27 17:02:33+00:00  1.543209e+07  3.426140e+07  1.266045e+08   \n",
       "3     2019-08-27 18:03:26+00:00  2.104751e+06  3.888875e+06  4.551243e+06   \n",
       "4     2019-08-27 19:04:19+00:00  1.932827e+06  3.206606e+06  5.333100e+06   \n",
       "...                         ...           ...           ...           ...   \n",
       "19725 2022-07-25 09:20:16+00:00  3.050078e+06  8.697393e+05  3.036945e+07   \n",
       "19726 2022-07-25 10:20:24+00:00  4.317771e+06  8.062667e+05  4.255768e+07   \n",
       "19727 2022-07-25 11:20:31+00:00  6.218481e+06  7.659899e+05  5.475404e+07   \n",
       "19728 2022-07-25 12:20:39+00:00  8.626032e+06  7.399048e+05  6.034823e+07   \n",
       "19729 2022-07-25 13:20:47+00:00  9.732845e+06  7.310204e+05  5.870691e+07   \n",
       "\n",
       "                Rs4           Rs5           Rs6           Rs7           Rs8  \\\n",
       "0      3.550200e+08  4.990000e+08  4.990000e+08  4.990000e+08  4.990000e+08   \n",
       "1      4.990000e+08  4.990000e+08  4.990000e+08  4.990000e+08  4.990000e+08   \n",
       "2      1.270713e+08  4.582075e+08  4.566434e+08  2.093848e+08  1.768738e+08   \n",
       "3      4.694948e+06  4.990000e+08  4.770748e+08  1.220728e+08  7.505715e+07   \n",
       "4      5.011784e+06  4.339941e+08  3.442738e+08  1.231950e+08  7.588989e+07   \n",
       "...             ...           ...           ...           ...           ...   \n",
       "19725  2.076281e+08  4.990000e+08  4.990000e+08  3.847504e+07  3.285689e+08   \n",
       "19726  3.072884e+08  4.990000e+08  4.990000e+08  3.158873e+07  3.526001e+08   \n",
       "19727  4.243341e+08  4.990000e+08  4.990000e+08  2.667558e+07  3.659995e+08   \n",
       "19728  4.886439e+08  4.990000e+08  4.990000e+08  2.301014e+07  3.719886e+08   \n",
       "19729  4.758304e+08  4.990000e+08  4.990000e+08  2.188280e+07  3.706273e+08   \n",
       "\n",
       "              Rh1  ...       Vh4       Vh5       Vh6       Vh7       Vh8  \\\n",
       "0       76.730000  ...  0.356500  0.351667  0.353333  0.355667  0.359500   \n",
       "1       73.050000  ...  0.357833  0.354167  0.358333  0.357833  0.365833   \n",
       "2      108.778333  ...  3.326500  3.269167  3.283333  3.588667  3.365500   \n",
       "3      121.210000  ...  4.331000  4.487833  4.506333  4.690833  4.368833   \n",
       "4      121.126667  ...  4.332500  4.488333  4.507500  4.690833  4.369833   \n",
       "...           ...  ...       ...       ...       ...       ...       ...   \n",
       "19725  500.000000  ...  2.569333  3.893667  4.021667  3.950167  4.332000   \n",
       "19726  500.000000  ...  2.570500  3.893500  4.022500  3.949833  4.332333   \n",
       "19727  500.000000  ...  2.569667  3.894333  4.022000  3.949333  4.332833   \n",
       "19728  500.000000  ...  2.569333  3.893000  4.022833  3.950000  4.331333   \n",
       "19729  500.000000  ...  2.569667  3.895000  4.022000  3.950000  4.331167   \n",
       "\n",
       "       Temperature  Relative_Humidity    Pressure          VOC  \\\n",
       "0        27.643333          54.935000  988.243333   378.862667   \n",
       "1        28.375000          53.660000  992.775000   502.152167   \n",
       "2        34.188333          41.591667  992.486667   482.208167   \n",
       "3        37.861667          33.023333  992.485000   488.320333   \n",
       "4        37.811667          33.371667  992.901667   500.728000   \n",
       "...            ...                ...         ...          ...   \n",
       "19725    35.288333          32.296667  990.666667  2347.686333   \n",
       "19726    35.653333          31.215000  990.000000  2931.085667   \n",
       "19727    36.453333          29.051667  989.051667  3815.159167   \n",
       "19728    37.165000          27.306667  988.058333  4870.664833   \n",
       "19729    37.680000          25.888333  986.900000  5538.896333   \n",
       "\n",
       "                     time  \n",
       "0     2020-07-31 01:00:00  \n",
       "1     2020-07-31 02:00:00  \n",
       "2     2020-07-31 03:00:00  \n",
       "3     2020-07-31 04:00:00  \n",
       "4     2020-07-31 05:00:00  \n",
       "...                   ...  \n",
       "19725                 NaT  \n",
       "19726                 NaT  \n",
       "19727                 NaT  \n",
       "19728                 NaT  \n",
       "19729                 NaT  \n",
       "\n",
       "[19730 rows x 30 columns]"
      ]
     },
     "execution_count": 416,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "appa1_hr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 420,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 19730/19730 [00:00<00:00, 25288.23it/s]\n"
     ]
    }
   ],
   "source": [
    "for i, row in tqdm(appa1_hr.iterrows(), total = len(appa1_hr)):\n",
    "    appa1_hr.at[i, \"time\"] = row.Time.replace(microsecond=0, second=0, minute=0)\n",
    "#appa1_hr.Time = appa1_hr.Time.dt.round('60min')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 428,
   "metadata": {},
   "outputs": [],
   "source": [
    "appa1_hr = appa1_hr.rename(columns = {\"Time\": \"time\", \"time\":\"Time\"})\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 433,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>time</th>\n",
       "      <th>Rs1</th>\n",
       "      <th>Rs2</th>\n",
       "      <th>Rs3</th>\n",
       "      <th>Rs4</th>\n",
       "      <th>Rs5</th>\n",
       "      <th>Rs6</th>\n",
       "      <th>Rs7</th>\n",
       "      <th>Rs8</th>\n",
       "      <th>Rh1</th>\n",
       "      <th>...</th>\n",
       "      <th>Vh4</th>\n",
       "      <th>Vh5</th>\n",
       "      <th>Vh6</th>\n",
       "      <th>Vh7</th>\n",
       "      <th>Vh8</th>\n",
       "      <th>Temperature</th>\n",
       "      <th>Relative_Humidity</th>\n",
       "      <th>Pressure</th>\n",
       "      <th>VOC</th>\n",
       "      <th>Time</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2019-08-26 18:15:38</td>\n",
       "      <td>8.442924e+06</td>\n",
       "      <td>8.519749e+07</td>\n",
       "      <td>3.660411e+08</td>\n",
       "      <td>3.550200e+08</td>\n",
       "      <td>4.990000e+08</td>\n",
       "      <td>4.990000e+08</td>\n",
       "      <td>4.990000e+08</td>\n",
       "      <td>4.990000e+08</td>\n",
       "      <td>76.730000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.356500</td>\n",
       "      <td>0.351667</td>\n",
       "      <td>0.353333</td>\n",
       "      <td>0.355667</td>\n",
       "      <td>0.359500</td>\n",
       "      <td>27.643333</td>\n",
       "      <td>54.935000</td>\n",
       "      <td>988.243333</td>\n",
       "      <td>378.862667</td>\n",
       "      <td>2019-08-26 18:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2019-08-27 16:01:41</td>\n",
       "      <td>3.688220e+07</td>\n",
       "      <td>1.310720e+08</td>\n",
       "      <td>4.990000e+08</td>\n",
       "      <td>4.990000e+08</td>\n",
       "      <td>4.990000e+08</td>\n",
       "      <td>4.990000e+08</td>\n",
       "      <td>4.990000e+08</td>\n",
       "      <td>4.990000e+08</td>\n",
       "      <td>73.050000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.357833</td>\n",
       "      <td>0.354167</td>\n",
       "      <td>0.358333</td>\n",
       "      <td>0.357833</td>\n",
       "      <td>0.365833</td>\n",
       "      <td>28.375000</td>\n",
       "      <td>53.660000</td>\n",
       "      <td>992.775000</td>\n",
       "      <td>502.152167</td>\n",
       "      <td>2019-08-27 16:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2019-08-27 17:02:33</td>\n",
       "      <td>1.543209e+07</td>\n",
       "      <td>3.426140e+07</td>\n",
       "      <td>1.266045e+08</td>\n",
       "      <td>1.270713e+08</td>\n",
       "      <td>4.582075e+08</td>\n",
       "      <td>4.566434e+08</td>\n",
       "      <td>2.093848e+08</td>\n",
       "      <td>1.768738e+08</td>\n",
       "      <td>108.778333</td>\n",
       "      <td>...</td>\n",
       "      <td>3.326500</td>\n",
       "      <td>3.269167</td>\n",
       "      <td>3.283333</td>\n",
       "      <td>3.588667</td>\n",
       "      <td>3.365500</td>\n",
       "      <td>34.188333</td>\n",
       "      <td>41.591667</td>\n",
       "      <td>992.486667</td>\n",
       "      <td>482.208167</td>\n",
       "      <td>2019-08-27 17:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2019-08-27 18:03:26</td>\n",
       "      <td>2.104751e+06</td>\n",
       "      <td>3.888875e+06</td>\n",
       "      <td>4.551243e+06</td>\n",
       "      <td>4.694948e+06</td>\n",
       "      <td>4.990000e+08</td>\n",
       "      <td>4.770748e+08</td>\n",
       "      <td>1.220728e+08</td>\n",
       "      <td>7.505715e+07</td>\n",
       "      <td>121.210000</td>\n",
       "      <td>...</td>\n",
       "      <td>4.331000</td>\n",
       "      <td>4.487833</td>\n",
       "      <td>4.506333</td>\n",
       "      <td>4.690833</td>\n",
       "      <td>4.368833</td>\n",
       "      <td>37.861667</td>\n",
       "      <td>33.023333</td>\n",
       "      <td>992.485000</td>\n",
       "      <td>488.320333</td>\n",
       "      <td>2019-08-27 18:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2019-08-27 19:04:19</td>\n",
       "      <td>1.932827e+06</td>\n",
       "      <td>3.206606e+06</td>\n",
       "      <td>5.333100e+06</td>\n",
       "      <td>5.011784e+06</td>\n",
       "      <td>4.339941e+08</td>\n",
       "      <td>3.442738e+08</td>\n",
       "      <td>1.231950e+08</td>\n",
       "      <td>7.588989e+07</td>\n",
       "      <td>121.126667</td>\n",
       "      <td>...</td>\n",
       "      <td>4.332500</td>\n",
       "      <td>4.488333</td>\n",
       "      <td>4.507500</td>\n",
       "      <td>4.690833</td>\n",
       "      <td>4.369833</td>\n",
       "      <td>37.811667</td>\n",
       "      <td>33.371667</td>\n",
       "      <td>992.901667</td>\n",
       "      <td>500.728000</td>\n",
       "      <td>2019-08-27 19:00:00</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>19725</th>\n",
       "      <td>2022-07-25 09:20:16</td>\n",
       "      <td>3.050078e+06</td>\n",
       "      <td>8.697393e+05</td>\n",
       "      <td>3.036945e+07</td>\n",
       "      <td>2.076281e+08</td>\n",
       "      <td>4.990000e+08</td>\n",
       "      <td>4.990000e+08</td>\n",
       "      <td>3.847504e+07</td>\n",
       "      <td>3.285689e+08</td>\n",
       "      <td>500.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>2.569333</td>\n",
       "      <td>3.893667</td>\n",
       "      <td>4.021667</td>\n",
       "      <td>3.950167</td>\n",
       "      <td>4.332000</td>\n",
       "      <td>35.288333</td>\n",
       "      <td>32.296667</td>\n",
       "      <td>990.666667</td>\n",
       "      <td>2347.686333</td>\n",
       "      <td>2022-07-25 09:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19726</th>\n",
       "      <td>2022-07-25 10:20:24</td>\n",
       "      <td>4.317771e+06</td>\n",
       "      <td>8.062667e+05</td>\n",
       "      <td>4.255768e+07</td>\n",
       "      <td>3.072884e+08</td>\n",
       "      <td>4.990000e+08</td>\n",
       "      <td>4.990000e+08</td>\n",
       "      <td>3.158873e+07</td>\n",
       "      <td>3.526001e+08</td>\n",
       "      <td>500.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>2.570500</td>\n",
       "      <td>3.893500</td>\n",
       "      <td>4.022500</td>\n",
       "      <td>3.949833</td>\n",
       "      <td>4.332333</td>\n",
       "      <td>35.653333</td>\n",
       "      <td>31.215000</td>\n",
       "      <td>990.000000</td>\n",
       "      <td>2931.085667</td>\n",
       "      <td>2022-07-25 10:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19727</th>\n",
       "      <td>2022-07-25 11:20:31</td>\n",
       "      <td>6.218481e+06</td>\n",
       "      <td>7.659899e+05</td>\n",
       "      <td>5.475404e+07</td>\n",
       "      <td>4.243341e+08</td>\n",
       "      <td>4.990000e+08</td>\n",
       "      <td>4.990000e+08</td>\n",
       "      <td>2.667558e+07</td>\n",
       "      <td>3.659995e+08</td>\n",
       "      <td>500.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>2.569667</td>\n",
       "      <td>3.894333</td>\n",
       "      <td>4.022000</td>\n",
       "      <td>3.949333</td>\n",
       "      <td>4.332833</td>\n",
       "      <td>36.453333</td>\n",
       "      <td>29.051667</td>\n",
       "      <td>989.051667</td>\n",
       "      <td>3815.159167</td>\n",
       "      <td>2022-07-25 11:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19728</th>\n",
       "      <td>2022-07-25 12:20:39</td>\n",
       "      <td>8.626032e+06</td>\n",
       "      <td>7.399048e+05</td>\n",
       "      <td>6.034823e+07</td>\n",
       "      <td>4.886439e+08</td>\n",
       "      <td>4.990000e+08</td>\n",
       "      <td>4.990000e+08</td>\n",
       "      <td>2.301014e+07</td>\n",
       "      <td>3.719886e+08</td>\n",
       "      <td>500.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>2.569333</td>\n",
       "      <td>3.893000</td>\n",
       "      <td>4.022833</td>\n",
       "      <td>3.950000</td>\n",
       "      <td>4.331333</td>\n",
       "      <td>37.165000</td>\n",
       "      <td>27.306667</td>\n",
       "      <td>988.058333</td>\n",
       "      <td>4870.664833</td>\n",
       "      <td>2022-07-25 12:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19729</th>\n",
       "      <td>2022-07-25 13:20:47</td>\n",
       "      <td>9.732845e+06</td>\n",
       "      <td>7.310204e+05</td>\n",
       "      <td>5.870691e+07</td>\n",
       "      <td>4.758304e+08</td>\n",
       "      <td>4.990000e+08</td>\n",
       "      <td>4.990000e+08</td>\n",
       "      <td>2.188280e+07</td>\n",
       "      <td>3.706273e+08</td>\n",
       "      <td>500.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>2.569667</td>\n",
       "      <td>3.895000</td>\n",
       "      <td>4.022000</td>\n",
       "      <td>3.950000</td>\n",
       "      <td>4.331167</td>\n",
       "      <td>37.680000</td>\n",
       "      <td>25.888333</td>\n",
       "      <td>986.900000</td>\n",
       "      <td>5538.896333</td>\n",
       "      <td>2022-07-25 13:00:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>19730 rows × 30 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                     time           Rs1           Rs2           Rs3  \\\n",
       "0     2019-08-26 18:15:38  8.442924e+06  8.519749e+07  3.660411e+08   \n",
       "1     2019-08-27 16:01:41  3.688220e+07  1.310720e+08  4.990000e+08   \n",
       "2     2019-08-27 17:02:33  1.543209e+07  3.426140e+07  1.266045e+08   \n",
       "3     2019-08-27 18:03:26  2.104751e+06  3.888875e+06  4.551243e+06   \n",
       "4     2019-08-27 19:04:19  1.932827e+06  3.206606e+06  5.333100e+06   \n",
       "...                   ...           ...           ...           ...   \n",
       "19725 2022-07-25 09:20:16  3.050078e+06  8.697393e+05  3.036945e+07   \n",
       "19726 2022-07-25 10:20:24  4.317771e+06  8.062667e+05  4.255768e+07   \n",
       "19727 2022-07-25 11:20:31  6.218481e+06  7.659899e+05  5.475404e+07   \n",
       "19728 2022-07-25 12:20:39  8.626032e+06  7.399048e+05  6.034823e+07   \n",
       "19729 2022-07-25 13:20:47  9.732845e+06  7.310204e+05  5.870691e+07   \n",
       "\n",
       "                Rs4           Rs5           Rs6           Rs7           Rs8  \\\n",
       "0      3.550200e+08  4.990000e+08  4.990000e+08  4.990000e+08  4.990000e+08   \n",
       "1      4.990000e+08  4.990000e+08  4.990000e+08  4.990000e+08  4.990000e+08   \n",
       "2      1.270713e+08  4.582075e+08  4.566434e+08  2.093848e+08  1.768738e+08   \n",
       "3      4.694948e+06  4.990000e+08  4.770748e+08  1.220728e+08  7.505715e+07   \n",
       "4      5.011784e+06  4.339941e+08  3.442738e+08  1.231950e+08  7.588989e+07   \n",
       "...             ...           ...           ...           ...           ...   \n",
       "19725  2.076281e+08  4.990000e+08  4.990000e+08  3.847504e+07  3.285689e+08   \n",
       "19726  3.072884e+08  4.990000e+08  4.990000e+08  3.158873e+07  3.526001e+08   \n",
       "19727  4.243341e+08  4.990000e+08  4.990000e+08  2.667558e+07  3.659995e+08   \n",
       "19728  4.886439e+08  4.990000e+08  4.990000e+08  2.301014e+07  3.719886e+08   \n",
       "19729  4.758304e+08  4.990000e+08  4.990000e+08  2.188280e+07  3.706273e+08   \n",
       "\n",
       "              Rh1  ...       Vh4       Vh5       Vh6       Vh7       Vh8  \\\n",
       "0       76.730000  ...  0.356500  0.351667  0.353333  0.355667  0.359500   \n",
       "1       73.050000  ...  0.357833  0.354167  0.358333  0.357833  0.365833   \n",
       "2      108.778333  ...  3.326500  3.269167  3.283333  3.588667  3.365500   \n",
       "3      121.210000  ...  4.331000  4.487833  4.506333  4.690833  4.368833   \n",
       "4      121.126667  ...  4.332500  4.488333  4.507500  4.690833  4.369833   \n",
       "...           ...  ...       ...       ...       ...       ...       ...   \n",
       "19725  500.000000  ...  2.569333  3.893667  4.021667  3.950167  4.332000   \n",
       "19726  500.000000  ...  2.570500  3.893500  4.022500  3.949833  4.332333   \n",
       "19727  500.000000  ...  2.569667  3.894333  4.022000  3.949333  4.332833   \n",
       "19728  500.000000  ...  2.569333  3.893000  4.022833  3.950000  4.331333   \n",
       "19729  500.000000  ...  2.569667  3.895000  4.022000  3.950000  4.331167   \n",
       "\n",
       "       Temperature  Relative_Humidity    Pressure          VOC  \\\n",
       "0        27.643333          54.935000  988.243333   378.862667   \n",
       "1        28.375000          53.660000  992.775000   502.152167   \n",
       "2        34.188333          41.591667  992.486667   482.208167   \n",
       "3        37.861667          33.023333  992.485000   488.320333   \n",
       "4        37.811667          33.371667  992.901667   500.728000   \n",
       "...            ...                ...         ...          ...   \n",
       "19725    35.288333          32.296667  990.666667  2347.686333   \n",
       "19726    35.653333          31.215000  990.000000  2931.085667   \n",
       "19727    36.453333          29.051667  989.051667  3815.159167   \n",
       "19728    37.165000          27.306667  988.058333  4870.664833   \n",
       "19729    37.680000          25.888333  986.900000  5538.896333   \n",
       "\n",
       "                     Time  \n",
       "0     2019-08-26 18:00:00  \n",
       "1     2019-08-27 16:00:00  \n",
       "2     2019-08-27 17:00:00  \n",
       "3     2019-08-27 18:00:00  \n",
       "4     2019-08-27 19:00:00  \n",
       "...                   ...  \n",
       "19725 2022-07-25 09:00:00  \n",
       "19726 2022-07-25 10:00:00  \n",
       "19727 2022-07-25 11:00:00  \n",
       "19728 2022-07-25 12:00:00  \n",
       "19729 2022-07-25 13:00:00  \n",
       "\n",
       "[19730 rows x 30 columns]"
      ]
     },
     "execution_count": 433,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "appa1_hr.Time = pd.to_datetime(appa1_hr.Time)\n",
    "appa1_hr.Time = appa1_hr.Time.dt.tz_localize(None)\n",
    "appa1_hr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 438,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>60.0</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
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       "      <td>2020-08-03 08:00:00</td>\n",
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       "      <td>152.0</td>\n",
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       "    <tr>\n",
       "      <th>17575</th>\n",
       "      <td>17648</td>\n",
       "      <td>2022-07-25 22:00:00</td>\n",
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       "      <td>7.0</td>\n",
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       "      <td>112.0</td>\n",
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       "    <tr>\n",
       "      <th>17576</th>\n",
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       "    <tr>\n",
       "      <th>17577</th>\n",
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       "<p>17578 rows × 7 columns</p>\n",
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      "text/plain": [
       "       Unnamed: 0                Time  PM10   NO2  SO2     O3        CO\n",
       "0              72 2020-08-03 04:00:00   9.0   7.0  1.0   82.0  0.688000\n",
       "1              73 2020-08-03 05:00:00   9.0  12.0  1.0   68.0  0.692000\n",
       "2              74 2020-08-03 06:00:00   8.0  15.0  1.0   60.0  0.691333\n",
       "3              75 2020-08-03 07:00:00   8.0  26.0  1.0   47.0  0.734000\n",
       "4              76 2020-08-03 08:00:00   8.0  21.0  1.0   53.0  0.705333\n",
       "...           ...                 ...   ...   ...  ...    ...       ...\n",
       "17573       17646 2022-07-25 20:00:00  27.0  15.0  3.0  164.0  0.818667\n",
       "17574       17647 2022-07-25 21:00:00  32.0  11.0  2.0  152.0  0.787333\n",
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       "\n",
       "[17578 rows x 7 columns]"
      ]
     },
     "execution_count": 438,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "appa1_gt.Time = pd.to_datetime(appa1_gt.Time)\n",
    "appa1_gt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 440,
   "metadata": {},
   "outputs": [
    {
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       "      <th>1</th>\n",
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       "      <td>4.990000e+08</td>\n",
       "      <td>4.990000e+08</td>\n",
       "      <td>4.990000e+08</td>\n",
       "      <td>4.990000e+08</td>\n",
       "      <td>4.990000e+08</td>\n",
       "      <td>73.050000</td>\n",
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       "      <td>53.660000</td>\n",
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       "      <td>502.152167</td>\n",
       "      <td>2019-08-27 16:00:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
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       "      <td>3.426140e+07</td>\n",
       "      <td>1.266045e+08</td>\n",
       "      <td>1.270713e+08</td>\n",
       "      <td>4.582075e+08</td>\n",
       "      <td>4.566434e+08</td>\n",
       "      <td>2.093848e+08</td>\n",
       "      <td>1.768738e+08</td>\n",
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       "      <td>41.591667</td>\n",
       "      <td>992.486667</td>\n",
       "      <td>482.208167</td>\n",
       "      <td>2019-08-27 17:00:00</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2019-08-27 18:03:26</td>\n",
       "      <td>2.104751e+06</td>\n",
       "      <td>3.888875e+06</td>\n",
       "      <td>4.551243e+06</td>\n",
       "      <td>4.694948e+06</td>\n",
       "      <td>4.990000e+08</td>\n",
       "      <td>4.770748e+08</td>\n",
       "      <td>1.220728e+08</td>\n",
       "      <td>7.505715e+07</td>\n",
       "      <td>121.210000</td>\n",
       "      <td>...</td>\n",
       "      <td>33.023333</td>\n",
       "      <td>992.485000</td>\n",
       "      <td>488.320333</td>\n",
       "      <td>2019-08-27 18:00:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2019-08-27 19:04:19</td>\n",
       "      <td>1.932827e+06</td>\n",
       "      <td>3.206606e+06</td>\n",
       "      <td>5.333100e+06</td>\n",
       "      <td>5.011784e+06</td>\n",
       "      <td>4.339941e+08</td>\n",
       "      <td>3.442738e+08</td>\n",
       "      <td>1.231950e+08</td>\n",
       "      <td>7.588989e+07</td>\n",
       "      <td>121.126667</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>2022-07-25 22:00:00</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2022-07-26 00:00:00</td>\n",
       "      <td>17650.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>0.788000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>24699 rows × 36 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                     time           Rs1           Rs2           Rs3  \\\n",
       "0     2019-08-26 18:15:38  8.442924e+06  8.519749e+07  3.660411e+08   \n",
       "1     2019-08-27 16:01:41  3.688220e+07  1.310720e+08  4.990000e+08   \n",
       "2     2019-08-27 17:02:33  1.543209e+07  3.426140e+07  1.266045e+08   \n",
       "3     2019-08-27 18:03:26  2.104751e+06  3.888875e+06  4.551243e+06   \n",
       "4     2019-08-27 19:04:19  1.932827e+06  3.206606e+06  5.333100e+06   \n",
       "...                   ...           ...           ...           ...   \n",
       "24694                 NaT           NaN           NaN           NaN   \n",
       "24695                 NaT           NaN           NaN           NaN   \n",
       "24696                 NaT           NaN           NaN           NaN   \n",
       "24697                 NaT           NaN           NaN           NaN   \n",
       "24698                 NaT           NaN           NaN           NaN   \n",
       "\n",
       "                Rs4           Rs5           Rs6           Rs7           Rs8  \\\n",
       "0      3.550200e+08  4.990000e+08  4.990000e+08  4.990000e+08  4.990000e+08   \n",
       "1      4.990000e+08  4.990000e+08  4.990000e+08  4.990000e+08  4.990000e+08   \n",
       "2      1.270713e+08  4.582075e+08  4.566434e+08  2.093848e+08  1.768738e+08   \n",
       "3      4.694948e+06  4.990000e+08  4.770748e+08  1.220728e+08  7.505715e+07   \n",
       "4      5.011784e+06  4.339941e+08  3.442738e+08  1.231950e+08  7.588989e+07   \n",
       "...             ...           ...           ...           ...           ...   \n",
       "24694           NaN           NaN           NaN           NaN           NaN   \n",
       "24695           NaN           NaN           NaN           NaN           NaN   \n",
       "24696           NaN           NaN           NaN           NaN           NaN   \n",
       "24697           NaN           NaN           NaN           NaN           NaN   \n",
       "24698           NaN           NaN           NaN           NaN           NaN   \n",
       "\n",
       "              Rh1  ...  Relative_Humidity    Pressure         VOC  \\\n",
       "0       76.730000  ...          54.935000  988.243333  378.862667   \n",
       "1       73.050000  ...          53.660000  992.775000  502.152167   \n",
       "2      108.778333  ...          41.591667  992.486667  482.208167   \n",
       "3      121.210000  ...          33.023333  992.485000  488.320333   \n",
       "4      121.126667  ...          33.371667  992.901667  500.728000   \n",
       "...           ...  ...                ...         ...         ...   \n",
       "24694         NaN  ...                NaN         NaN         NaN   \n",
       "24695         NaN  ...                NaN         NaN         NaN   \n",
       "24696         NaN  ...                NaN         NaN         NaN   \n",
       "24697         NaN  ...                NaN         NaN         NaN   \n",
       "24698         NaN  ...                NaN         NaN         NaN   \n",
       "\n",
       "                     Time  Unnamed: 0  PM10   NO2  SO2     O3        CO  \n",
       "0     2019-08-26 18:00:00         NaN   NaN   NaN  NaN    NaN       NaN  \n",
       "1     2019-08-27 16:00:00         NaN   NaN   NaN  NaN    NaN       NaN  \n",
       "2     2019-08-27 17:00:00         NaN   NaN   NaN  NaN    NaN       NaN  \n",
       "3     2019-08-27 18:00:00         NaN   NaN   NaN  NaN    NaN       NaN  \n",
       "4     2019-08-27 19:00:00         NaN   NaN   NaN  NaN    NaN       NaN  \n",
       "...                   ...         ...   ...   ...  ...    ...       ...  \n",
       "24694 2022-07-25 20:00:00     17646.0  27.0  15.0  3.0  164.0  0.818667  \n",
       "24695 2022-07-25 21:00:00     17647.0  32.0  11.0  2.0  152.0  0.787333  \n",
       "24696 2022-07-25 22:00:00     17648.0  28.0   7.0  1.0  112.0  0.779333  \n",
       "24697 2022-07-25 23:00:00     17649.0  29.0   8.0  1.0   93.0  0.788000  \n",
       "24698 2022-07-26 00:00:00     17650.0  29.0  10.0  1.0   78.0  0.788000  \n",
       "\n",
       "[24699 rows x 36 columns]"
      ]
     },
     "execution_count": 440,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "appa1_hr.merge(appa1_gt, how='left', on=\"Time\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 555,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Time                       2019-09-12 16:00:00\n",
       "Rs1                                   869622.4\n",
       "Rs2                                  383685.95\n",
       "Rs3                           113797804.933333\n",
       "Rs4                            89708091.866667\n",
       "Rs5                           240012798.133333\n",
       "Rs6                                499000000.0\n",
       "Rs7                                106011315.2\n",
       "Rs8                            68748263.733333\n",
       "Rh1                                 121.633333\n",
       "Rh2                                 122.723333\n",
       "Rh3                                    128.045\n",
       "Rh4                                    126.955\n",
       "Rh5                                 130.178333\n",
       "Rh6                                 135.963333\n",
       "Rh7                                 136.526667\n",
       "Rh8                                 104.748333\n",
       "Vh1                                   3.882833\n",
       "Vh2                                      3.875\n",
       "Vh3                                   4.310333\n",
       "Vh4                                   4.335167\n",
       "Vh5                                      4.289\n",
       "Vh6                                   4.689333\n",
       "Vh7                                   4.692667\n",
       "Vh8                                     4.3705\n",
       "Temperature                             39.005\n",
       "Relative_Humidity                    23.553333\n",
       "Pressure                           1002.933333\n",
       "VOC                                2139.527833\n",
       "time                 2019-09-12 16:00:00+00:00\n",
       "Name: 380, dtype: object"
      ]
     },
     "execution_count": 555,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "appa1_hr.iloc[380]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 200,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "13350\n"
     ]
    }
   ],
   "source": [
    "#6380\n",
    "#3937\n",
    "#17641\n",
    "appa1_hr = appa1_hr.iloc[6380:]\n",
    "print(len(appa1_hr))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "13705\n"
     ]
    }
   ],
   "source": [
    "appa1_gt = appa1_gt.iloc[3864:17569]\n",
    "print(len(appa1_gt))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "for i, row in appa1.iterrows():\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 176,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Time</th>\n",
       "      <th>Rs1</th>\n",
       "      <th>Rs2</th>\n",
       "      <th>Rs3</th>\n",
       "      <th>Rs4</th>\n",
       "      <th>Rs5</th>\n",
       "      <th>Rs6</th>\n",
       "      <th>Rs7</th>\n",
       "      <th>Rs8</th>\n",
       "      <th>Rh1</th>\n",
       "      <th>...</th>\n",
       "      <th>Vh3</th>\n",
       "      <th>Vh4</th>\n",
       "      <th>Vh5</th>\n",
       "      <th>Vh6</th>\n",
       "      <th>Vh7</th>\n",
       "      <th>Vh8</th>\n",
       "      <th>Temperature</th>\n",
       "      <th>Relative_Humidity</th>\n",
       "      <th>Pressure</th>\n",
       "      <th>VOC</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>19140</th>\n",
       "      <td>2022-06-30 22:00:00+00:00</td>\n",
       "      <td>1.520432e+06</td>\n",
       "      <td>1.564351e+06</td>\n",
       "      <td>1.561125e+07</td>\n",
       "      <td>6.325280e+07</td>\n",
       "      <td>3.226983e+08</td>\n",
       "      <td>499000000.0</td>\n",
       "      <td>4.529892e+07</td>\n",
       "      <td>3.069251e+08</td>\n",
       "      <td>99.243333</td>\n",
       "      <td>...</td>\n",
       "      <td>2.382667</td>\n",
       "      <td>2.520833</td>\n",
       "      <td>3.891333</td>\n",
       "      <td>3.897167</td>\n",
       "      <td>3.820000</td>\n",
       "      <td>4.260167</td>\n",
       "      <td>35.351667</td>\n",
       "      <td>34.003333</td>\n",
       "      <td>987.981667</td>\n",
       "      <td>970.696667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19141</th>\n",
       "      <td>2022-06-30 23:00:00+00:00</td>\n",
       "      <td>1.575852e+06</td>\n",
       "      <td>1.497123e+06</td>\n",
       "      <td>1.603984e+07</td>\n",
       "      <td>6.686113e+07</td>\n",
       "      <td>3.391781e+08</td>\n",
       "      <td>499000000.0</td>\n",
       "      <td>4.493697e+07</td>\n",
       "      <td>3.116132e+08</td>\n",
       "      <td>99.291667</td>\n",
       "      <td>...</td>\n",
       "      <td>2.382500</td>\n",
       "      <td>2.521000</td>\n",
       "      <td>3.891500</td>\n",
       "      <td>3.897167</td>\n",
       "      <td>3.819833</td>\n",
       "      <td>4.260000</td>\n",
       "      <td>34.823333</td>\n",
       "      <td>34.250000</td>\n",
       "      <td>988.283333</td>\n",
       "      <td>981.544833</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19142</th>\n",
       "      <td>2022-07-01 00:00:00+00:00</td>\n",
       "      <td>1.596473e+06</td>\n",
       "      <td>1.422728e+06</td>\n",
       "      <td>1.690417e+07</td>\n",
       "      <td>6.886274e+07</td>\n",
       "      <td>3.706232e+08</td>\n",
       "      <td>499000000.0</td>\n",
       "      <td>4.437409e+07</td>\n",
       "      <td>3.207355e+08</td>\n",
       "      <td>99.200000</td>\n",
       "      <td>...</td>\n",
       "      <td>2.381833</td>\n",
       "      <td>2.521000</td>\n",
       "      <td>3.891333</td>\n",
       "      <td>3.898167</td>\n",
       "      <td>3.820333</td>\n",
       "      <td>4.260833</td>\n",
       "      <td>34.650000</td>\n",
       "      <td>33.860000</td>\n",
       "      <td>988.831667</td>\n",
       "      <td>1019.689167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19143</th>\n",
       "      <td>2022-07-01 01:00:00+00:00</td>\n",
       "      <td>1.594714e+06</td>\n",
       "      <td>1.355145e+06</td>\n",
       "      <td>1.677791e+07</td>\n",
       "      <td>6.840802e+07</td>\n",
       "      <td>3.709504e+08</td>\n",
       "      <td>499000000.0</td>\n",
       "      <td>4.257829e+07</td>\n",
       "      <td>3.318025e+08</td>\n",
       "      <td>99.315000</td>\n",
       "      <td>...</td>\n",
       "      <td>2.382500</td>\n",
       "      <td>2.520667</td>\n",
       "      <td>3.892333</td>\n",
       "      <td>3.897000</td>\n",
       "      <td>3.819833</td>\n",
       "      <td>4.260000</td>\n",
       "      <td>35.440000</td>\n",
       "      <td>32.421667</td>\n",
       "      <td>988.831667</td>\n",
       "      <td>1091.850167</td>\n",
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       "    <tr>\n",
       "      <th>19144</th>\n",
       "      <td>2022-07-01 02:00:00+00:00</td>\n",
       "      <td>1.452168e+06</td>\n",
       "      <td>1.388080e+06</td>\n",
       "      <td>1.518150e+07</td>\n",
       "      <td>6.170452e+07</td>\n",
       "      <td>3.263237e+08</td>\n",
       "      <td>499000000.0</td>\n",
       "      <td>4.487997e+07</td>\n",
       "      <td>3.139016e+08</td>\n",
       "      <td>99.286667</td>\n",
       "      <td>...</td>\n",
       "      <td>2.382333</td>\n",
       "      <td>2.520833</td>\n",
       "      <td>3.891833</td>\n",
       "      <td>3.897167</td>\n",
       "      <td>3.820000</td>\n",
       "      <td>4.260167</td>\n",
       "      <td>35.751667</td>\n",
       "      <td>32.331667</td>\n",
       "      <td>989.258333</td>\n",
       "      <td>1061.159167</td>\n",
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       "    <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>19725</th>\n",
       "      <td>2022-07-25 09:00:00+00:00</td>\n",
       "      <td>3.050078e+06</td>\n",
       "      <td>8.697393e+05</td>\n",
       "      <td>3.036945e+07</td>\n",
       "      <td>2.076281e+08</td>\n",
       "      <td>4.990000e+08</td>\n",
       "      <td>499000000.0</td>\n",
       "      <td>3.847504e+07</td>\n",
       "      <td>3.285689e+08</td>\n",
       "      <td>500.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>2.389667</td>\n",
       "      <td>2.569333</td>\n",
       "      <td>3.893667</td>\n",
       "      <td>4.021667</td>\n",
       "      <td>3.950167</td>\n",
       "      <td>4.332000</td>\n",
       "      <td>35.288333</td>\n",
       "      <td>32.296667</td>\n",
       "      <td>990.666667</td>\n",
       "      <td>2347.686333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19726</th>\n",
       "      <td>2022-07-25 10:00:00+00:00</td>\n",
       "      <td>4.317771e+06</td>\n",
       "      <td>8.062667e+05</td>\n",
       "      <td>4.255768e+07</td>\n",
       "      <td>3.072884e+08</td>\n",
       "      <td>4.990000e+08</td>\n",
       "      <td>499000000.0</td>\n",
       "      <td>3.158873e+07</td>\n",
       "      <td>3.526001e+08</td>\n",
       "      <td>500.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>2.389667</td>\n",
       "      <td>2.570500</td>\n",
       "      <td>3.893500</td>\n",
       "      <td>4.022500</td>\n",
       "      <td>3.949833</td>\n",
       "      <td>4.332333</td>\n",
       "      <td>35.653333</td>\n",
       "      <td>31.215000</td>\n",
       "      <td>990.000000</td>\n",
       "      <td>2931.085667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19727</th>\n",
       "      <td>2022-07-25 11:00:00+00:00</td>\n",
       "      <td>6.218481e+06</td>\n",
       "      <td>7.659899e+05</td>\n",
       "      <td>5.475404e+07</td>\n",
       "      <td>4.243341e+08</td>\n",
       "      <td>4.990000e+08</td>\n",
       "      <td>499000000.0</td>\n",
       "      <td>2.667558e+07</td>\n",
       "      <td>3.659995e+08</td>\n",
       "      <td>500.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>2.390000</td>\n",
       "      <td>2.569667</td>\n",
       "      <td>3.894333</td>\n",
       "      <td>4.022000</td>\n",
       "      <td>3.949333</td>\n",
       "      <td>4.332833</td>\n",
       "      <td>36.453333</td>\n",
       "      <td>29.051667</td>\n",
       "      <td>989.051667</td>\n",
       "      <td>3815.159167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19728</th>\n",
       "      <td>2022-07-25 12:00:00+00:00</td>\n",
       "      <td>8.626032e+06</td>\n",
       "      <td>7.399048e+05</td>\n",
       "      <td>6.034823e+07</td>\n",
       "      <td>4.886439e+08</td>\n",
       "      <td>4.990000e+08</td>\n",
       "      <td>499000000.0</td>\n",
       "      <td>2.301014e+07</td>\n",
       "      <td>3.719886e+08</td>\n",
       "      <td>500.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>2.389500</td>\n",
       "      <td>2.569333</td>\n",
       "      <td>3.893000</td>\n",
       "      <td>4.022833</td>\n",
       "      <td>3.950000</td>\n",
       "      <td>4.331333</td>\n",
       "      <td>37.165000</td>\n",
       "      <td>27.306667</td>\n",
       "      <td>988.058333</td>\n",
       "      <td>4870.664833</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19729</th>\n",
       "      <td>2022-07-25 13:00:00+00:00</td>\n",
       "      <td>9.732845e+06</td>\n",
       "      <td>7.310204e+05</td>\n",
       "      <td>5.870691e+07</td>\n",
       "      <td>4.758304e+08</td>\n",
       "      <td>4.990000e+08</td>\n",
       "      <td>499000000.0</td>\n",
       "      <td>2.188280e+07</td>\n",
       "      <td>3.706273e+08</td>\n",
       "      <td>500.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>2.389833</td>\n",
       "      <td>2.569667</td>\n",
       "      <td>3.895000</td>\n",
       "      <td>4.022000</td>\n",
       "      <td>3.950000</td>\n",
       "      <td>4.331167</td>\n",
       "      <td>37.680000</td>\n",
       "      <td>25.888333</td>\n",
       "      <td>986.900000</td>\n",
       "      <td>5538.896333</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>590 rows × 29 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                           Time           Rs1           Rs2           Rs3  \\\n",
       "19140 2022-06-30 22:00:00+00:00  1.520432e+06  1.564351e+06  1.561125e+07   \n",
       "19141 2022-06-30 23:00:00+00:00  1.575852e+06  1.497123e+06  1.603984e+07   \n",
       "19142 2022-07-01 00:00:00+00:00  1.596473e+06  1.422728e+06  1.690417e+07   \n",
       "19143 2022-07-01 01:00:00+00:00  1.594714e+06  1.355145e+06  1.677791e+07   \n",
       "19144 2022-07-01 02:00:00+00:00  1.452168e+06  1.388080e+06  1.518150e+07   \n",
       "...                         ...           ...           ...           ...   \n",
       "19725 2022-07-25 09:00:00+00:00  3.050078e+06  8.697393e+05  3.036945e+07   \n",
       "19726 2022-07-25 10:00:00+00:00  4.317771e+06  8.062667e+05  4.255768e+07   \n",
       "19727 2022-07-25 11:00:00+00:00  6.218481e+06  7.659899e+05  5.475404e+07   \n",
       "19728 2022-07-25 12:00:00+00:00  8.626032e+06  7.399048e+05  6.034823e+07   \n",
       "19729 2022-07-25 13:00:00+00:00  9.732845e+06  7.310204e+05  5.870691e+07   \n",
       "\n",
       "                Rs4           Rs5          Rs6           Rs7           Rs8  \\\n",
       "19140  6.325280e+07  3.226983e+08  499000000.0  4.529892e+07  3.069251e+08   \n",
       "19141  6.686113e+07  3.391781e+08  499000000.0  4.493697e+07  3.116132e+08   \n",
       "19142  6.886274e+07  3.706232e+08  499000000.0  4.437409e+07  3.207355e+08   \n",
       "19143  6.840802e+07  3.709504e+08  499000000.0  4.257829e+07  3.318025e+08   \n",
       "19144  6.170452e+07  3.263237e+08  499000000.0  4.487997e+07  3.139016e+08   \n",
       "...             ...           ...          ...           ...           ...   \n",
       "19725  2.076281e+08  4.990000e+08  499000000.0  3.847504e+07  3.285689e+08   \n",
       "19726  3.072884e+08  4.990000e+08  499000000.0  3.158873e+07  3.526001e+08   \n",
       "19727  4.243341e+08  4.990000e+08  499000000.0  2.667558e+07  3.659995e+08   \n",
       "19728  4.886439e+08  4.990000e+08  499000000.0  2.301014e+07  3.719886e+08   \n",
       "19729  4.758304e+08  4.990000e+08  499000000.0  2.188280e+07  3.706273e+08   \n",
       "\n",
       "              Rh1  ...       Vh3       Vh4       Vh5       Vh6       Vh7  \\\n",
       "19140   99.243333  ...  2.382667  2.520833  3.891333  3.897167  3.820000   \n",
       "19141   99.291667  ...  2.382500  2.521000  3.891500  3.897167  3.819833   \n",
       "19142   99.200000  ...  2.381833  2.521000  3.891333  3.898167  3.820333   \n",
       "19143   99.315000  ...  2.382500  2.520667  3.892333  3.897000  3.819833   \n",
       "19144   99.286667  ...  2.382333  2.520833  3.891833  3.897167  3.820000   \n",
       "...           ...  ...       ...       ...       ...       ...       ...   \n",
       "19725  500.000000  ...  2.389667  2.569333  3.893667  4.021667  3.950167   \n",
       "19726  500.000000  ...  2.389667  2.570500  3.893500  4.022500  3.949833   \n",
       "19727  500.000000  ...  2.390000  2.569667  3.894333  4.022000  3.949333   \n",
       "19728  500.000000  ...  2.389500  2.569333  3.893000  4.022833  3.950000   \n",
       "19729  500.000000  ...  2.389833  2.569667  3.895000  4.022000  3.950000   \n",
       "\n",
       "            Vh8  Temperature  Relative_Humidity    Pressure          VOC  \n",
       "19140  4.260167    35.351667          34.003333  987.981667   970.696667  \n",
       "19141  4.260000    34.823333          34.250000  988.283333   981.544833  \n",
       "19142  4.260833    34.650000          33.860000  988.831667  1019.689167  \n",
       "19143  4.260000    35.440000          32.421667  988.831667  1091.850167  \n",
       "19144  4.260167    35.751667          32.331667  989.258333  1061.159167  \n",
       "...         ...          ...                ...         ...          ...  \n",
       "19725  4.332000    35.288333          32.296667  990.666667  2347.686333  \n",
       "19726  4.332333    35.653333          31.215000  990.000000  2931.085667  \n",
       "19727  4.332833    36.453333          29.051667  989.051667  3815.159167  \n",
       "19728  4.331333    37.165000          27.306667  988.058333  4870.664833  \n",
       "19729  4.331167    37.680000          25.888333  986.900000  5538.896333  \n",
       "\n",
       "[590 rows x 29 columns]"
      ]
     },
     "execution_count": 176,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "appa1_hr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 360,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Time</th>\n",
       "      <th>Rs5</th>\n",
       "      <th>Rs6</th>\n",
       "      <th>Rs1</th>\n",
       "      <th>Rs2</th>\n",
       "      <th>Rs3</th>\n",
       "      <th>Rs4</th>\n",
       "      <th>Rs7</th>\n",
       "      <th>Rs8</th>\n",
       "      <th>Rh5</th>\n",
       "      <th>...</th>\n",
       "      <th>Vh1</th>\n",
       "      <th>Vh2</th>\n",
       "      <th>Vh3</th>\n",
       "      <th>Vh4</th>\n",
       "      <th>Vh7</th>\n",
       "      <th>Vh8</th>\n",
       "      <th>Temperature</th>\n",
       "      <th>Relative_Humidity</th>\n",
       "      <th>Pressure</th>\n",
       "      <th>VOC</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>907238</th>\n",
       "      <td>2022-01-14 00:00:32+00:00</td>\n",
       "      <td>3477586.0</td>\n",
       "      <td>8094862.0</td>\n",
       "      <td>12800000.0</td>\n",
       "      <td>21333334.0</td>\n",
       "      <td>4904214.0</td>\n",
       "      <td>4806609.0</td>\n",
       "      <td>499000000.0</td>\n",
       "      <td>109770288.0</td>\n",
       "      <td>112.7</td>\n",
       "      <td>...</td>\n",
       "      <td>2.92</td>\n",
       "      <td>2.95</td>\n",
       "      <td>2.28</td>\n",
       "      <td>2.32</td>\n",
       "      <td>0.38</td>\n",
       "      <td>4.18</td>\n",
       "      <td>41.0</td>\n",
       "      <td>4.5</td>\n",
       "      <td>991.6</td>\n",
       "      <td>3604.34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>907239</th>\n",
       "      <td>2022-01-14 00:01:32+00:00</td>\n",
       "      <td>3494880.0</td>\n",
       "      <td>8113186.0</td>\n",
       "      <td>12800000.0</td>\n",
       "      <td>21333334.0</td>\n",
       "      <td>4911742.0</td>\n",
       "      <td>4817464.0</td>\n",
       "      <td>499000000.0</td>\n",
       "      <td>109938648.0</td>\n",
       "      <td>112.7</td>\n",
       "      <td>...</td>\n",
       "      <td>2.93</td>\n",
       "      <td>2.95</td>\n",
       "      <td>2.28</td>\n",
       "      <td>2.32</td>\n",
       "      <td>0.38</td>\n",
       "      <td>4.18</td>\n",
       "      <td>41.0</td>\n",
       "      <td>4.5</td>\n",
       "      <td>991.6</td>\n",
       "      <td>3604.34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>907240</th>\n",
       "      <td>2022-01-14 00:02:32+00:00</td>\n",
       "      <td>3493518.0</td>\n",
       "      <td>8120540.0</td>\n",
       "      <td>12800000.0</td>\n",
       "      <td>21333334.0</td>\n",
       "      <td>4923077.0</td>\n",
       "      <td>4815651.0</td>\n",
       "      <td>499000000.0</td>\n",
       "      <td>107305392.0</td>\n",
       "      <td>112.7</td>\n",
       "      <td>...</td>\n",
       "      <td>2.92</td>\n",
       "      <td>2.95</td>\n",
       "      <td>2.28</td>\n",
       "      <td>2.33</td>\n",
       "      <td>0.38</td>\n",
       "      <td>4.18</td>\n",
       "      <td>41.1</td>\n",
       "      <td>4.5</td>\n",
       "      <td>991.6</td>\n",
       "      <td>3604.34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>907241</th>\n",
       "      <td>2022-01-14 00:03:32+00:00</td>\n",
       "      <td>3502223.0</td>\n",
       "      <td>8136209.0</td>\n",
       "      <td>12800000.0</td>\n",
       "      <td>21333334.0</td>\n",
       "      <td>4926867.0</td>\n",
       "      <td>4822909.0</td>\n",
       "      <td>499000000.0</td>\n",
       "      <td>110107528.0</td>\n",
       "      <td>112.7</td>\n",
       "      <td>...</td>\n",
       "      <td>2.93</td>\n",
       "      <td>2.95</td>\n",
       "      <td>2.28</td>\n",
       "      <td>2.33</td>\n",
       "      <td>0.38</td>\n",
       "      <td>4.18</td>\n",
       "      <td>41.1</td>\n",
       "      <td>4.5</td>\n",
       "      <td>991.6</td>\n",
       "      <td>3604.34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>907242</th>\n",
       "      <td>2022-01-14 00:04:32+00:00</td>\n",
       "      <td>3501197.0</td>\n",
       "      <td>8138980.0</td>\n",
       "      <td>12800000.0</td>\n",
       "      <td>21333334.0</td>\n",
       "      <td>4936367.0</td>\n",
       "      <td>4828366.0</td>\n",
       "      <td>499000000.0</td>\n",
       "      <td>110959752.0</td>\n",
       "      <td>112.7</td>\n",
       "      <td>...</td>\n",
       "      <td>2.93</td>\n",
       "      <td>2.95</td>\n",
       "      <td>2.28</td>\n",
       "      <td>2.33</td>\n",
       "      <td>0.38</td>\n",
       "      <td>4.18</td>\n",
       "      <td>41.1</td>\n",
       "      <td>4.5</td>\n",
       "      <td>991.6</td>\n",
       "      <td>3604.34</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <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",
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       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>1183837</th>\n",
       "      <td>2022-07-25 14:57:59+00:00</td>\n",
       "      <td>499000000.0</td>\n",
       "      <td>499000000.0</td>\n",
       "      <td>11636364.0</td>\n",
       "      <td>744186.0</td>\n",
       "      <td>32080200.0</td>\n",
       "      <td>209836064.0</td>\n",
       "      <td>31674768.0</td>\n",
       "      <td>278910496.0</td>\n",
       "      <td>128.5</td>\n",
       "      <td>...</td>\n",
       "      <td>3.91</td>\n",
       "      <td>3.65</td>\n",
       "      <td>2.39</td>\n",
       "      <td>2.57</td>\n",
       "      <td>3.95</td>\n",
       "      <td>4.33</td>\n",
       "      <td>41.5</td>\n",
       "      <td>19.5</td>\n",
       "      <td>985.5</td>\n",
       "      <td>5467.63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1183838</th>\n",
       "      <td>2022-07-25 14:58:59+00:00</td>\n",
       "      <td>499000000.0</td>\n",
       "      <td>499000000.0</td>\n",
       "      <td>11636364.0</td>\n",
       "      <td>739884.0</td>\n",
       "      <td>32820512.0</td>\n",
       "      <td>224561408.0</td>\n",
       "      <td>32361174.0</td>\n",
       "      <td>282204736.0</td>\n",
       "      <td>128.6</td>\n",
       "      <td>...</td>\n",
       "      <td>3.91</td>\n",
       "      <td>3.64</td>\n",
       "      <td>2.39</td>\n",
       "      <td>2.57</td>\n",
       "      <td>3.95</td>\n",
       "      <td>4.34</td>\n",
       "      <td>41.6</td>\n",
       "      <td>19.1</td>\n",
       "      <td>985.5</td>\n",
       "      <td>5501.55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1183839</th>\n",
       "      <td>2022-07-25 14:59:59+00:00</td>\n",
       "      <td>499000000.0</td>\n",
       "      <td>499000000.0</td>\n",
       "      <td>11636364.0</td>\n",
       "      <td>748538.0</td>\n",
       "      <td>32653062.0</td>\n",
       "      <td>220689648.0</td>\n",
       "      <td>32042914.0</td>\n",
       "      <td>285577696.0</td>\n",
       "      <td>128.5</td>\n",
       "      <td>...</td>\n",
       "      <td>3.91</td>\n",
       "      <td>3.64</td>\n",
       "      <td>2.39</td>\n",
       "      <td>2.57</td>\n",
       "      <td>3.95</td>\n",
       "      <td>4.33</td>\n",
       "      <td>41.7</td>\n",
       "      <td>19.4</td>\n",
       "      <td>985.5</td>\n",
       "      <td>5490.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1183840</th>\n",
       "      <td>2022-07-25 15:00:59+00:00</td>\n",
       "      <td>499000000.0</td>\n",
       "      <td>499000000.0</td>\n",
       "      <td>11636364.0</td>\n",
       "      <td>752941.0</td>\n",
       "      <td>32405064.0</td>\n",
       "      <td>213333328.0</td>\n",
       "      <td>31843626.0</td>\n",
       "      <td>287871488.0</td>\n",
       "      <td>128.4</td>\n",
       "      <td>...</td>\n",
       "      <td>3.91</td>\n",
       "      <td>3.64</td>\n",
       "      <td>2.39</td>\n",
       "      <td>2.57</td>\n",
       "      <td>3.95</td>\n",
       "      <td>4.33</td>\n",
       "      <td>41.8</td>\n",
       "      <td>20.0</td>\n",
       "      <td>985.6</td>\n",
       "      <td>5507.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1183841</th>\n",
       "      <td>2022-07-25 15:02:00+00:00</td>\n",
       "      <td>499000000.0</td>\n",
       "      <td>499000000.0</td>\n",
       "      <td>11636364.0</td>\n",
       "      <td>752941.0</td>\n",
       "      <td>32989690.0</td>\n",
       "      <td>216949152.0</td>\n",
       "      <td>32331980.0</td>\n",
       "      <td>285577696.0</td>\n",
       "      <td>128.5</td>\n",
       "      <td>...</td>\n",
       "      <td>3.91</td>\n",
       "      <td>3.64</td>\n",
       "      <td>2.39</td>\n",
       "      <td>2.56</td>\n",
       "      <td>3.95</td>\n",
       "      <td>4.33</td>\n",
       "      <td>41.9</td>\n",
       "      <td>19.9</td>\n",
       "      <td>985.5</td>\n",
       "      <td>5518.67</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>276604 rows × 29 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                             Time          Rs5          Rs6         Rs1  \\\n",
       "907238  2022-01-14 00:00:32+00:00    3477586.0    8094862.0  12800000.0   \n",
       "907239  2022-01-14 00:01:32+00:00    3494880.0    8113186.0  12800000.0   \n",
       "907240  2022-01-14 00:02:32+00:00    3493518.0    8120540.0  12800000.0   \n",
       "907241  2022-01-14 00:03:32+00:00    3502223.0    8136209.0  12800000.0   \n",
       "907242  2022-01-14 00:04:32+00:00    3501197.0    8138980.0  12800000.0   \n",
       "...                           ...          ...          ...         ...   \n",
       "1183837 2022-07-25 14:57:59+00:00  499000000.0  499000000.0  11636364.0   \n",
       "1183838 2022-07-25 14:58:59+00:00  499000000.0  499000000.0  11636364.0   \n",
       "1183839 2022-07-25 14:59:59+00:00  499000000.0  499000000.0  11636364.0   \n",
       "1183840 2022-07-25 15:00:59+00:00  499000000.0  499000000.0  11636364.0   \n",
       "1183841 2022-07-25 15:02:00+00:00  499000000.0  499000000.0  11636364.0   \n",
       "\n",
       "                Rs2         Rs3          Rs4          Rs7          Rs8    Rh5  \\\n",
       "907238   21333334.0   4904214.0    4806609.0  499000000.0  109770288.0  112.7   \n",
       "907239   21333334.0   4911742.0    4817464.0  499000000.0  109938648.0  112.7   \n",
       "907240   21333334.0   4923077.0    4815651.0  499000000.0  107305392.0  112.7   \n",
       "907241   21333334.0   4926867.0    4822909.0  499000000.0  110107528.0  112.7   \n",
       "907242   21333334.0   4936367.0    4828366.0  499000000.0  110959752.0  112.7   \n",
       "...             ...         ...          ...          ...          ...    ...   \n",
       "1183837    744186.0  32080200.0  209836064.0   31674768.0  278910496.0  128.5   \n",
       "1183838    739884.0  32820512.0  224561408.0   32361174.0  282204736.0  128.6   \n",
       "1183839    748538.0  32653062.0  220689648.0   32042914.0  285577696.0  128.5   \n",
       "1183840    752941.0  32405064.0  213333328.0   31843626.0  287871488.0  128.4   \n",
       "1183841    752941.0  32989690.0  216949152.0   32331980.0  285577696.0  128.5   \n",
       "\n",
       "         ...   Vh1   Vh2   Vh3   Vh4   Vh7   Vh8  Temperature  \\\n",
       "907238   ...  2.92  2.95  2.28  2.32  0.38  4.18         41.0   \n",
       "907239   ...  2.93  2.95  2.28  2.32  0.38  4.18         41.0   \n",
       "907240   ...  2.92  2.95  2.28  2.33  0.38  4.18         41.1   \n",
       "907241   ...  2.93  2.95  2.28  2.33  0.38  4.18         41.1   \n",
       "907242   ...  2.93  2.95  2.28  2.33  0.38  4.18         41.1   \n",
       "...      ...   ...   ...   ...   ...   ...   ...          ...   \n",
       "1183837  ...  3.91  3.65  2.39  2.57  3.95  4.33         41.5   \n",
       "1183838  ...  3.91  3.64  2.39  2.57  3.95  4.34         41.6   \n",
       "1183839  ...  3.91  3.64  2.39  2.57  3.95  4.33         41.7   \n",
       "1183840  ...  3.91  3.64  2.39  2.57  3.95  4.33         41.8   \n",
       "1183841  ...  3.91  3.64  2.39  2.56  3.95  4.33         41.9   \n",
       "\n",
       "         Relative_Humidity  Pressure      VOC  \n",
       "907238                 4.5     991.6  3604.34  \n",
       "907239                 4.5     991.6  3604.34  \n",
       "907240                 4.5     991.6  3604.34  \n",
       "907241                 4.5     991.6  3604.34  \n",
       "907242                 4.5     991.6  3604.34  \n",
       "...                    ...       ...      ...  \n",
       "1183837               19.5     985.5  5467.63  \n",
       "1183838               19.1     985.5  5501.55  \n",
       "1183839               19.4     985.5  5490.20  \n",
       "1183840               20.0     985.6  5507.25  \n",
       "1183841               19.9     985.5  5518.67  \n",
       "\n",
       "[276604 rows x 29 columns]"
      ]
     },
     "execution_count": 360,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "appa1_fourth"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 498,
   "metadata": {},
   "outputs": [],
   "source": [
    "appa1_clean = appa1[appa1.Time >= '2021-01-14']\n",
    "appa1_first = appa1_clean[appa1_clean.Time <= '2021-04-29']\n",
    "appa1_second = appa1_clean[(appa1_clean.Time > '2021-04-29') & (appa1_clean.Time <= '2021-6-30')]\n",
    "appa1_third = appa1_clean[(appa1_clean.Time > '2021-06-30') & (appa1_clean.Time <= '2022-1-14')]\n",
    "appa1_fourth = appa1_clean[appa1_clean.Time > '2022-1-14']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 482,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Time</th>\n",
       "      <th>sensing_,material</th>\n",
       "      <th>signal_res</th>\n",
       "      <th>heater_res</th>\n",
       "      <th>heater_V</th>\n",
       "      <th>Temperature</th>\n",
       "      <th>Relative_Humidity</th>\n",
       "      <th>Pressure</th>\n",
       "      <th>time_cos</th>\n",
       "      <th>time_sin</th>\n",
       "      <th>date_cos</th>\n",
       "      <th>date_sin</th>\n",
       "      <th>Y</th>\n",
       "      <th>age</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2021-01-13 00:00:00+00:00</td>\n",
       "      <td>ZnOR</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.261799</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.282902</td>\n",
       "      <td>0.440593</td>\n",
       "      <td>2021</td>\n",
       "      <td>0 days 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2021-01-13 00:00:00+00:00</td>\n",
       "      <td>ZnOR</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.261799</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.282902</td>\n",
       "      <td>0.440593</td>\n",
       "      <td>2021</td>\n",
       "      <td>0 days 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2021-01-13 00:00:00+00:00</td>\n",
       "      <td>LaFeO3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.261799</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.282902</td>\n",
       "      <td>0.440593</td>\n",
       "      <td>2021</td>\n",
       "      <td>0 days 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2021-01-13 00:00:00+00:00</td>\n",
       "      <td>LaFeO3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.261799</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.282902</td>\n",
       "      <td>0.440593</td>\n",
       "      <td>2021</td>\n",
       "      <td>0 days 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2021-01-13 00:00:00+00:00</td>\n",
       "      <td>WO3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.261799</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.282902</td>\n",
       "      <td>0.440593</td>\n",
       "      <td>2021</td>\n",
       "      <td>0 days 00:00:00</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107251</th>\n",
       "      <td>2022-07-25 14:00:00+00:00</td>\n",
       "      <td>WO3</td>\n",
       "      <td>215141240.0</td>\n",
       "      <td>147.50</td>\n",
       "      <td>2.565</td>\n",
       "      <td>41.85</td>\n",
       "      <td>19.95</td>\n",
       "      <td>985.55</td>\n",
       "      <td>0.035798</td>\n",
       "      <td>0.25934</td>\n",
       "      <td>0.394742</td>\n",
       "      <td>0.343997</td>\n",
       "      <td>2022</td>\n",
       "      <td>452 days 14:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107252</th>\n",
       "      <td>2022-07-25 14:00:00+00:00</td>\n",
       "      <td>ZnOR</td>\n",
       "      <td>499000000.0</td>\n",
       "      <td>128.45</td>\n",
       "      <td>3.890</td>\n",
       "      <td>41.85</td>\n",
       "      <td>19.95</td>\n",
       "      <td>985.55</td>\n",
       "      <td>0.035798</td>\n",
       "      <td>0.25934</td>\n",
       "      <td>0.394742</td>\n",
       "      <td>0.343997</td>\n",
       "      <td>2022</td>\n",
       "      <td>558 days 14:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107253</th>\n",
       "      <td>2022-07-25 14:00:00+00:00</td>\n",
       "      <td>ZnOR</td>\n",
       "      <td>499000000.0</td>\n",
       "      <td>129.15</td>\n",
       "      <td>4.020</td>\n",
       "      <td>41.85</td>\n",
       "      <td>19.95</td>\n",
       "      <td>985.55</td>\n",
       "      <td>0.035798</td>\n",
       "      <td>0.25934</td>\n",
       "      <td>0.394742</td>\n",
       "      <td>0.343997</td>\n",
       "      <td>2022</td>\n",
       "      <td>558 days 14:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107254</th>\n",
       "      <td>2022-07-25 14:00:00+00:00</td>\n",
       "      <td>SmFeO3</td>\n",
       "      <td>32087803.0</td>\n",
       "      <td>103.80</td>\n",
       "      <td>3.950</td>\n",
       "      <td>41.85</td>\n",
       "      <td>19.95</td>\n",
       "      <td>985.55</td>\n",
       "      <td>0.035798</td>\n",
       "      <td>0.25934</td>\n",
       "      <td>0.394742</td>\n",
       "      <td>0.343997</td>\n",
       "      <td>2022</td>\n",
       "      <td>192 days 14:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107255</th>\n",
       "      <td>2022-07-25 14:00:00+00:00</td>\n",
       "      <td>STN</td>\n",
       "      <td>286724592.0</td>\n",
       "      <td>108.80</td>\n",
       "      <td>4.330</td>\n",
       "      <td>41.85</td>\n",
       "      <td>19.95</td>\n",
       "      <td>985.55</td>\n",
       "      <td>0.035798</td>\n",
       "      <td>0.25934</td>\n",
       "      <td>0.394742</td>\n",
       "      <td>0.343997</td>\n",
       "      <td>2022</td>\n",
       "      <td>390 days 14:00:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>107256 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                            Time sensing_,material   signal_res  heater_res  \\\n",
       "0      2021-01-13 00:00:00+00:00              ZnOR          NaN         NaN   \n",
       "1      2021-01-13 00:00:00+00:00              ZnOR          NaN         NaN   \n",
       "2      2021-01-13 00:00:00+00:00            LaFeO3          NaN         NaN   \n",
       "3      2021-01-13 00:00:00+00:00            LaFeO3          NaN         NaN   \n",
       "4      2021-01-13 00:00:00+00:00               WO3          NaN         NaN   \n",
       "...                          ...               ...          ...         ...   \n",
       "107251 2022-07-25 14:00:00+00:00               WO3  215141240.0      147.50   \n",
       "107252 2022-07-25 14:00:00+00:00              ZnOR  499000000.0      128.45   \n",
       "107253 2022-07-25 14:00:00+00:00              ZnOR  499000000.0      129.15   \n",
       "107254 2022-07-25 14:00:00+00:00            SmFeO3   32087803.0      103.80   \n",
       "107255 2022-07-25 14:00:00+00:00               STN  286724592.0      108.80   \n",
       "\n",
       "        heater_V  Temperature  Relative_Humidity  Pressure  time_cos  \\\n",
       "0            NaN          NaN                NaN       NaN  0.261799   \n",
       "1            NaN          NaN                NaN       NaN  0.261799   \n",
       "2            NaN          NaN                NaN       NaN  0.261799   \n",
       "3            NaN          NaN                NaN       NaN  0.261799   \n",
       "4            NaN          NaN                NaN       NaN  0.261799   \n",
       "...          ...          ...                ...       ...       ...   \n",
       "107251     2.565        41.85              19.95    985.55  0.035798   \n",
       "107252     3.890        41.85              19.95    985.55  0.035798   \n",
       "107253     4.020        41.85              19.95    985.55  0.035798   \n",
       "107254     3.950        41.85              19.95    985.55  0.035798   \n",
       "107255     4.330        41.85              19.95    985.55  0.035798   \n",
       "\n",
       "        time_sin  date_cos  date_sin     Y                age  \n",
       "0        0.00000  0.282902  0.440593  2021    0 days 00:00:00  \n",
       "1        0.00000  0.282902  0.440593  2021    0 days 00:00:00  \n",
       "2        0.00000  0.282902  0.440593  2021    0 days 00:00:00  \n",
       "3        0.00000  0.282902  0.440593  2021    0 days 00:00:00  \n",
       "4        0.00000  0.282902  0.440593  2021    0 days 00:00:00  \n",
       "...          ...       ...       ...   ...                ...  \n",
       "107251   0.25934  0.394742  0.343997  2022  452 days 14:00:00  \n",
       "107252   0.25934  0.394742  0.343997  2022  558 days 14:00:00  \n",
       "107253   0.25934  0.394742  0.343997  2022  558 days 14:00:00  \n",
       "107254   0.25934  0.394742  0.343997  2022  192 days 14:00:00  \n",
       "107255   0.25934  0.394742  0.343997  2022  390 days 14:00:00  \n",
       "\n",
       "[107256 rows x 14 columns]"
      ]
     },
     "execution_count": 482,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "appa1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 499,
   "metadata": {},
   "outputs": [],
   "source": [
    "appa1_second = appa1_second.iloc[:, [0,\n",
    " 1,\n",
    " 2,\n",
    " 5, #\n",
    " 6, #\n",
    " 3, #\n",
    " 4, #\n",
    " 7,\n",
    " 8,\n",
    "\n",
    " 9,\n",
    " 10,\n",
    " 13, #\n",
    " 14, #\n",
    " 11, #\n",
    " 12, #\n",
    " 15,\n",
    " 16,\n",
    "\n",
    " 17,\n",
    " 18,\n",
    " 21, #\n",
    " 22, #\n",
    " 19, #\n",
    " 20, #\n",
    " 23,\n",
    " 24,\n",
    " 25,\n",
    " 26,\n",
    " 27,\n",
    " 28]]\n",
    "\n",
    "appa1_third = appa1_third.iloc[:, [0,\n",
    "5,6,1,2,3,4,7,8,\n",
    "\n",
    "13,14,9,10,11,12,15,16,\n",
    "\n",
    " 21,22,17,18,19,20,23,24,\n",
    "\n",
    " 25,\n",
    " 26,\n",
    " 27,\n",
    " 28]]\n",
    "\n",
    "appa1_fourth = appa1_fourth.iloc[:, [0,\n",
    "5,6,1,2,3,4,7,8,\n",
    "\n",
    "13,14,9,10,11,12,15,16,\n",
    "\n",
    " 21,22,17,18,19,20,23,24,\n",
    "\n",
    " 25,\n",
    " 26,\n",
    " 27,\n",
    " 28]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 500,
   "metadata": {},
   "outputs": [],
   "source": [
    "appa_clean = pd.DataFrame(\n",
    "       np.vstack([appa1_first, appa1_second, appa1_third, appa1_fourth]),\n",
    "       columns=[\n",
    "              \"Time\", \n",
    "\n",
    "              \"ZnOR_1\",\n",
    "              \"ZnOR_2\",\n",
    "              \"LaFeO3_1\",\n",
    "              \"LaFeO3_2\",\n",
    "              \"WO3_1\",\n",
    "              \"WO3_2\", \n",
    "              \"to_del\", \n",
    "              \"to_del2\",\n",
    "\n",
    "              \"ZnOR_heatR_1\",\n",
    "              \"ZnOR_heatR_2\",\n",
    "              \"LaFeO3_heatR_1\",\n",
    "              \"LaFeO3_heatR_2\",\n",
    "              \"WO3_heatR_1\",\n",
    "              \"WO3_heatR_2\", \n",
    "              \"to_de3\", \n",
    "              \"to_del1\",\n",
    "\n",
    "              \"ZnOR_heatV_1\",\n",
    "              \"ZnOR_heatV_2\",\n",
    "              \"LaFeO3_heatV_1\",\n",
    "              \"LaFeO3_heatV_2\",\n",
    "              \"WO3_heatV_1\",\n",
    "              \"WO3_heatV_2\", \n",
    "              \"to_deal\", \n",
    "              \"to_de2\",\n",
    "\n",
    "              'Temperature', \n",
    "              'Relative_Humidity',\n",
    "              'Pressure', \n",
    "              'VOC'\n",
    "       ]\n",
    "       )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 501,
   "metadata": {},
   "outputs": [],
   "source": [
    "appa_clean = appa_clean[[\n",
    "              \"Time\", \n",
    "\n",
    "              \"ZnOR_1\",\n",
    "              \"ZnOR_2\",\n",
    "              \"LaFeO3_1\",\n",
    "              \"LaFeO3_2\",\n",
    "              \"WO3_1\",\n",
    "              \"WO3_2\", \n",
    "\n",
    "              \"ZnOR_heatR_1\",\n",
    "              \"ZnOR_heatR_2\",\n",
    "              \"LaFeO3_heatR_1\",\n",
    "              \"LaFeO3_heatR_2\",\n",
    "              \"WO3_heatR_1\",\n",
    "              \"WO3_heatR_2\", \n",
    "\n",
    "              \"ZnOR_heatV_1\",\n",
    "              \"ZnOR_heatV_2\",\n",
    "              \"LaFeO3_heatV_1\",\n",
    "              \"LaFeO3_heatV_2\",\n",
    "              \"WO3_heatV_1\",\n",
    "              \"WO3_heatV_2\", \n",
    "\n",
    "              'Temperature', \n",
    "              'Relative_Humidity',\n",
    "              'Pressure', \n",
    "              'VOC'\n",
    "       ]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 502,
   "metadata": {},
   "outputs": [],
   "source": [
    "appa_clean = appa_clean.set_index(\"Time\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 541,
   "metadata": {},
   "outputs": [],
   "source": [
    "appa_clean[\"ZnOR_1_TimeSinceCreated\"] = 0\n",
    "appa_clean[\"ZnOR_2_TimeSinceCreated\"] = 0\n",
    "appa_clean[\"LaFeO3_1_TimeSinceCreated\"] = 0\n",
    "appa_clean[\"LaFeO3_2_TimeSinceCreated\"] = 0\n",
    "appa_clean[\"WO3_1_TimeSinceCreated\"] = 0\n",
    "appa_clean[\"WO3_2_TimeSinceCreated\"] = 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 446,
   "metadata": {},
   "outputs": [],
   "source": [
    "appa_clean.index = pd.to_datetime(appa_clean.index)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 539,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "        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>ZnOR_1</th>\n",
       "      <th>ZnOR_2</th>\n",
       "      <th>LaFeO3_1</th>\n",
       "      <th>LaFeO3_2</th>\n",
       "      <th>WO3_1</th>\n",
       "      <th>WO3_2</th>\n",
       "      <th>ZnOR_heatR_1</th>\n",
       "      <th>ZnOR_heatR_2</th>\n",
       "      <th>LaFeO3_heatR_1</th>\n",
       "      <th>LaFeO3_heatR_2</th>\n",
       "      <th>...</th>\n",
       "      <th>ZnOR_heatV_2</th>\n",
       "      <th>LaFeO3_heatV_1</th>\n",
       "      <th>LaFeO3_heatV_2</th>\n",
       "      <th>WO3_heatV_1</th>\n",
       "      <th>WO3_heatV_2</th>\n",
       "      <th>Temperature</th>\n",
       "      <th>Relative_Humidity</th>\n",
       "      <th>Pressure</th>\n",
       "      <th>VOC</th>\n",
       "      <th>TimeSinceCreated</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Time</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2021-01-14 00:00:39+00:00</th>\n",
       "      <td>228164.0</td>\n",
       "      <td>127363.0</td>\n",
       "      <td>639265.0</td>\n",
       "      <td>513355.0</td>\n",
       "      <td>920201.0</td>\n",
       "      <td>1392602.0</td>\n",
       "      <td>102.1</td>\n",
       "      <td>99.4</td>\n",
       "      <td>88.2</td>\n",
       "      <td>87.5</td>\n",
       "      <td>...</td>\n",
       "      <td>3.98</td>\n",
       "      <td>3.01</td>\n",
       "      <td>3.07</td>\n",
       "      <td>4.03</td>\n",
       "      <td>4.03</td>\n",
       "      <td>48.1</td>\n",
       "      <td>3.8</td>\n",
       "      <td>988.4</td>\n",
       "      <td>2983.74</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-01-14 00:01:39+00:00</th>\n",
       "      <td>228571.0</td>\n",
       "      <td>127363.0</td>\n",
       "      <td>640320.0</td>\n",
       "      <td>512697.0</td>\n",
       "      <td>919257.0</td>\n",
       "      <td>1390009.0</td>\n",
       "      <td>102.1</td>\n",
       "      <td>99.4</td>\n",
       "      <td>88.2</td>\n",
       "      <td>87.5</td>\n",
       "      <td>...</td>\n",
       "      <td>3.99</td>\n",
       "      <td>3.01</td>\n",
       "      <td>3.07</td>\n",
       "      <td>4.02</td>\n",
       "      <td>4.03</td>\n",
       "      <td>48.1</td>\n",
       "      <td>3.8</td>\n",
       "      <td>988.6</td>\n",
       "      <td>2998.87</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-01-14 00:02:39+00:00</th>\n",
       "      <td>228164.0</td>\n",
       "      <td>126984.0</td>\n",
       "      <td>639648.0</td>\n",
       "      <td>513479.0</td>\n",
       "      <td>918598.0</td>\n",
       "      <td>1391737.0</td>\n",
       "      <td>102.1</td>\n",
       "      <td>99.4</td>\n",
       "      <td>88.2</td>\n",
       "      <td>87.5</td>\n",
       "      <td>...</td>\n",
       "      <td>3.98</td>\n",
       "      <td>3.01</td>\n",
       "      <td>3.07</td>\n",
       "      <td>4.03</td>\n",
       "      <td>4.03</td>\n",
       "      <td>48.2</td>\n",
       "      <td>3.8</td>\n",
       "      <td>988.5</td>\n",
       "      <td>2995.5</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-01-14 00:03:39+00:00</th>\n",
       "      <td>228164.0</td>\n",
       "      <td>126984.0</td>\n",
       "      <td>638022.0</td>\n",
       "      <td>512307.0</td>\n",
       "      <td>918033.0</td>\n",
       "      <td>1388286.0</td>\n",
       "      <td>102.1</td>\n",
       "      <td>99.4</td>\n",
       "      <td>88.2</td>\n",
       "      <td>87.5</td>\n",
       "      <td>...</td>\n",
       "      <td>3.98</td>\n",
       "      <td>3.01</td>\n",
       "      <td>3.07</td>\n",
       "      <td>4.02</td>\n",
       "      <td>4.03</td>\n",
       "      <td>48.2</td>\n",
       "      <td>3.7</td>\n",
       "      <td>988.6</td>\n",
       "      <td>3009.05</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-01-14 00:04:39+00:00</th>\n",
       "      <td>227758.0</td>\n",
       "      <td>126858.0</td>\n",
       "      <td>638914.0</td>\n",
       "      <td>512492.0</td>\n",
       "      <td>916437.0</td>\n",
       "      <td>1388502.0</td>\n",
       "      <td>102.1</td>\n",
       "      <td>99.4</td>\n",
       "      <td>88.1</td>\n",
       "      <td>87.5</td>\n",
       "      <td>...</td>\n",
       "      <td>3.98</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.07</td>\n",
       "      <td>4.02</td>\n",
       "      <td>4.03</td>\n",
       "      <td>48.2</td>\n",
       "      <td>3.7</td>\n",
       "      <td>988.5</td>\n",
       "      <td>3003.95</td>\n",
       "      <td>0</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>2022-07-25 14:57:59+00:00</th>\n",
       "      <td>499000000.0</td>\n",
       "      <td>499000000.0</td>\n",
       "      <td>11636364.0</td>\n",
       "      <td>744186.0</td>\n",
       "      <td>32080200.0</td>\n",
       "      <td>209836064.0</td>\n",
       "      <td>128.5</td>\n",
       "      <td>129.0</td>\n",
       "      <td>500.0</td>\n",
       "      <td>111.3</td>\n",
       "      <td>...</td>\n",
       "      <td>4.03</td>\n",
       "      <td>3.91</td>\n",
       "      <td>3.65</td>\n",
       "      <td>2.39</td>\n",
       "      <td>2.57</td>\n",
       "      <td>41.5</td>\n",
       "      <td>19.5</td>\n",
       "      <td>985.5</td>\n",
       "      <td>5467.63</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-07-25 14:58:59+00:00</th>\n",
       "      <td>499000000.0</td>\n",
       "      <td>499000000.0</td>\n",
       "      <td>11636364.0</td>\n",
       "      <td>739884.0</td>\n",
       "      <td>32820512.0</td>\n",
       "      <td>224561408.0</td>\n",
       "      <td>128.6</td>\n",
       "      <td>129.0</td>\n",
       "      <td>500.0</td>\n",
       "      <td>111.2</td>\n",
       "      <td>...</td>\n",
       "      <td>4.03</td>\n",
       "      <td>3.91</td>\n",
       "      <td>3.64</td>\n",
       "      <td>2.39</td>\n",
       "      <td>2.57</td>\n",
       "      <td>41.6</td>\n",
       "      <td>19.1</td>\n",
       "      <td>985.5</td>\n",
       "      <td>5501.55</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-07-25 14:59:59+00:00</th>\n",
       "      <td>499000000.0</td>\n",
       "      <td>499000000.0</td>\n",
       "      <td>11636364.0</td>\n",
       "      <td>748538.0</td>\n",
       "      <td>32653062.0</td>\n",
       "      <td>220689648.0</td>\n",
       "      <td>128.5</td>\n",
       "      <td>129.1</td>\n",
       "      <td>500.0</td>\n",
       "      <td>111.2</td>\n",
       "      <td>...</td>\n",
       "      <td>4.03</td>\n",
       "      <td>3.91</td>\n",
       "      <td>3.64</td>\n",
       "      <td>2.39</td>\n",
       "      <td>2.57</td>\n",
       "      <td>41.7</td>\n",
       "      <td>19.4</td>\n",
       "      <td>985.5</td>\n",
       "      <td>5490.2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-07-25 15:00:59+00:00</th>\n",
       "      <td>499000000.0</td>\n",
       "      <td>499000000.0</td>\n",
       "      <td>11636364.0</td>\n",
       "      <td>752941.0</td>\n",
       "      <td>32405064.0</td>\n",
       "      <td>213333328.0</td>\n",
       "      <td>128.4</td>\n",
       "      <td>128.9</td>\n",
       "      <td>500.0</td>\n",
       "      <td>111.1</td>\n",
       "      <td>...</td>\n",
       "      <td>4.02</td>\n",
       "      <td>3.91</td>\n",
       "      <td>3.64</td>\n",
       "      <td>2.39</td>\n",
       "      <td>2.57</td>\n",
       "      <td>41.8</td>\n",
       "      <td>20.0</td>\n",
       "      <td>985.6</td>\n",
       "      <td>5507.25</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-07-25 15:02:00+00:00</th>\n",
       "      <td>499000000.0</td>\n",
       "      <td>499000000.0</td>\n",
       "      <td>11636364.0</td>\n",
       "      <td>752941.0</td>\n",
       "      <td>32989690.0</td>\n",
       "      <td>216949152.0</td>\n",
       "      <td>128.5</td>\n",
       "      <td>129.4</td>\n",
       "      <td>500.0</td>\n",
       "      <td>111.2</td>\n",
       "      <td>...</td>\n",
       "      <td>4.02</td>\n",
       "      <td>3.91</td>\n",
       "      <td>3.64</td>\n",
       "      <td>2.39</td>\n",
       "      <td>2.56</td>\n",
       "      <td>41.9</td>\n",
       "      <td>19.9</td>\n",
       "      <td>985.5</td>\n",
       "      <td>5518.67</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>801082 rows × 23 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                ZnOR_1       ZnOR_2    LaFeO3_1  LaFeO3_2  \\\n",
       "Time                                                                        \n",
       "2021-01-14 00:00:39+00:00     228164.0     127363.0    639265.0  513355.0   \n",
       "2021-01-14 00:01:39+00:00     228571.0     127363.0    640320.0  512697.0   \n",
       "2021-01-14 00:02:39+00:00     228164.0     126984.0    639648.0  513479.0   \n",
       "2021-01-14 00:03:39+00:00     228164.0     126984.0    638022.0  512307.0   \n",
       "2021-01-14 00:04:39+00:00     227758.0     126858.0    638914.0  512492.0   \n",
       "...                                ...          ...         ...       ...   \n",
       "2022-07-25 14:57:59+00:00  499000000.0  499000000.0  11636364.0  744186.0   \n",
       "2022-07-25 14:58:59+00:00  499000000.0  499000000.0  11636364.0  739884.0   \n",
       "2022-07-25 14:59:59+00:00  499000000.0  499000000.0  11636364.0  748538.0   \n",
       "2022-07-25 15:00:59+00:00  499000000.0  499000000.0  11636364.0  752941.0   \n",
       "2022-07-25 15:02:00+00:00  499000000.0  499000000.0  11636364.0  752941.0   \n",
       "\n",
       "                                WO3_1        WO3_2 ZnOR_heatR_1 ZnOR_heatR_2  \\\n",
       "Time                                                                           \n",
       "2021-01-14 00:00:39+00:00    920201.0    1392602.0        102.1         99.4   \n",
       "2021-01-14 00:01:39+00:00    919257.0    1390009.0        102.1         99.4   \n",
       "2021-01-14 00:02:39+00:00    918598.0    1391737.0        102.1         99.4   \n",
       "2021-01-14 00:03:39+00:00    918033.0    1388286.0        102.1         99.4   \n",
       "2021-01-14 00:04:39+00:00    916437.0    1388502.0        102.1         99.4   \n",
       "...                               ...          ...          ...          ...   \n",
       "2022-07-25 14:57:59+00:00  32080200.0  209836064.0        128.5        129.0   \n",
       "2022-07-25 14:58:59+00:00  32820512.0  224561408.0        128.6        129.0   \n",
       "2022-07-25 14:59:59+00:00  32653062.0  220689648.0        128.5        129.1   \n",
       "2022-07-25 15:00:59+00:00  32405064.0  213333328.0        128.4        128.9   \n",
       "2022-07-25 15:02:00+00:00  32989690.0  216949152.0        128.5        129.4   \n",
       "\n",
       "                          LaFeO3_heatR_1 LaFeO3_heatR_2  ... ZnOR_heatV_2  \\\n",
       "Time                                                     ...                \n",
       "2021-01-14 00:00:39+00:00           88.2           87.5  ...         3.98   \n",
       "2021-01-14 00:01:39+00:00           88.2           87.5  ...         3.99   \n",
       "2021-01-14 00:02:39+00:00           88.2           87.5  ...         3.98   \n",
       "2021-01-14 00:03:39+00:00           88.2           87.5  ...         3.98   \n",
       "2021-01-14 00:04:39+00:00           88.1           87.5  ...         3.98   \n",
       "...                                  ...            ...  ...          ...   \n",
       "2022-07-25 14:57:59+00:00          500.0          111.3  ...         4.03   \n",
       "2022-07-25 14:58:59+00:00          500.0          111.2  ...         4.03   \n",
       "2022-07-25 14:59:59+00:00          500.0          111.2  ...         4.03   \n",
       "2022-07-25 15:00:59+00:00          500.0          111.1  ...         4.02   \n",
       "2022-07-25 15:02:00+00:00          500.0          111.2  ...         4.02   \n",
       "\n",
       "                          LaFeO3_heatV_1 LaFeO3_heatV_2 WO3_heatV_1  \\\n",
       "Time                                                                  \n",
       "2021-01-14 00:00:39+00:00           3.01           3.07        4.03   \n",
       "2021-01-14 00:01:39+00:00           3.01           3.07        4.02   \n",
       "2021-01-14 00:02:39+00:00           3.01           3.07        4.03   \n",
       "2021-01-14 00:03:39+00:00           3.01           3.07        4.02   \n",
       "2021-01-14 00:04:39+00:00            3.0           3.07        4.02   \n",
       "...                                  ...            ...         ...   \n",
       "2022-07-25 14:57:59+00:00           3.91           3.65        2.39   \n",
       "2022-07-25 14:58:59+00:00           3.91           3.64        2.39   \n",
       "2022-07-25 14:59:59+00:00           3.91           3.64        2.39   \n",
       "2022-07-25 15:00:59+00:00           3.91           3.64        2.39   \n",
       "2022-07-25 15:02:00+00:00           3.91           3.64        2.39   \n",
       "\n",
       "                          WO3_heatV_2 Temperature Relative_Humidity Pressure  \\\n",
       "Time                                                                           \n",
       "2021-01-14 00:00:39+00:00        4.03        48.1               3.8    988.4   \n",
       "2021-01-14 00:01:39+00:00        4.03        48.1               3.8    988.6   \n",
       "2021-01-14 00:02:39+00:00        4.03        48.2               3.8    988.5   \n",
       "2021-01-14 00:03:39+00:00        4.03        48.2               3.7    988.6   \n",
       "2021-01-14 00:04:39+00:00        4.03        48.2               3.7    988.5   \n",
       "...                               ...         ...               ...      ...   \n",
       "2022-07-25 14:57:59+00:00        2.57        41.5              19.5    985.5   \n",
       "2022-07-25 14:58:59+00:00        2.57        41.6              19.1    985.5   \n",
       "2022-07-25 14:59:59+00:00        2.57        41.7              19.4    985.5   \n",
       "2022-07-25 15:00:59+00:00        2.57        41.8              20.0    985.6   \n",
       "2022-07-25 15:02:00+00:00        2.56        41.9              19.9    985.5   \n",
       "\n",
       "                               VOC TimeSinceCreated  \n",
       "Time                                                 \n",
       "2021-01-14 00:00:39+00:00  2983.74                0  \n",
       "2021-01-14 00:01:39+00:00  2998.87                0  \n",
       "2021-01-14 00:02:39+00:00   2995.5                0  \n",
       "2021-01-14 00:03:39+00:00  3009.05                0  \n",
       "2021-01-14 00:04:39+00:00  3003.95                0  \n",
       "...                            ...              ...  \n",
       "2022-07-25 14:57:59+00:00  5467.63                0  \n",
       "2022-07-25 14:58:59+00:00  5501.55                0  \n",
       "2022-07-25 14:59:59+00:00   5490.2                0  \n",
       "2022-07-25 15:00:59+00:00  5507.25                0  \n",
       "2022-07-25 15:02:00+00:00  5518.67                0  \n",
       "\n",
       "[801082 rows x 23 columns]"
      ]
     },
     "execution_count": 539,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "appa_clean.loc[(appa_clean.index < \"2021-06-30\"), \"ZnOR_2\"] = norm(appa_clean[(appa_clean.index < \"2021-06-30\")].ZnOR_1) * max(appa_clean[(appa_clean.index > \"2021-06-30\")].ZnOR_2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "appa_hr = pd.read_csv(\"data/appa1_hr_cropped.csv\")\n",
    "appa_hr = appa_hr.drop([\"Unnamed: 0\"], axis=1)\n",
    "appa_clean = appa_hr\n",
    "appa_clean.Time = pd.to_datetime(appa_clean.Time)\n",
    "appa_clean = appa_clean.set_index(\"Time\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "\"\"\"\n",
    "appa1_clean = appa1[appa1.Time >= '2021-01-14']\n",
    "appa1_first = appa1_clean[appa1_clean.Time <= '2021-04-29']\n",
    "appa1_second = appa1_clean[(appa1_clean.Time > '2021-04-29') & (appa1_clean.Time <= '2021-6-30')]\n",
    "appa1_third = appa1_clean[(appa1_clean.Time > '2021-06-30') & (appa1_clean.Time <= '2022-1-14')]\n",
    "appa1_fourth = appa1_clean[appa1_clean.Time > '2022-1-14']\n",
    "\n",
    "\n",
    "appa_clean[\"ZnOR_1_TimeSinceCreated\"] = 0\n",
    "appa_clean[\"ZnOR_2_TimeSinceCreated\"] = 0\n",
    "appa_clean[\"LaFeO3_1_TimeSinceCreated\"] = 0\n",
    "appa_clean[\"LaFeO3_2_TimeSinceCreated\"] = 0\n",
    "appa_clean[\"WO3_1_TimeSinceCreated\"] = 0\n",
    "appa_clean[\"WO3_2_TimeSinceCreated\"] = 0\n",
    "\"\"\"\n",
    "\n",
    "for i,row in appa_clean.iterrows():\n",
    "    time_since = i.timestamp() - pd.Timestamp(\"2021-01-14\").timestamp()\n",
    "\n",
    "    appa_clean.loc[i,\"ZnOR_1_TimeSinceCreated\"] = time_since\n",
    "    appa_clean.loc[i,\"ZnOR_2_TimeSinceCreated\"] = time_since\n",
    "    appa_clean.loc[i,\"LaFeO3_1_TimeSinceCreated\"] = time_since\n",
    "    appa_clean.loc[i,\"LaFeO3_2_TimeSinceCreated\"] = time_since\n",
    "    appa_clean.loc[i,\"WO3_1_TimeSinceCreated\"] = time_since\n",
    "    appa_clean.loc[i,\"WO3_2_TimeSinceCreated\"] = time_since\n",
    "for i,row in appa_clean[appa_clean.index > \"2021-4-29\"].iterrows():\n",
    "    time_since = i.timestamp() - pd.Timestamp(\"2021-4-29\").timestamp()\n",
    "\n",
    "    appa_clean.loc[i,\"WO3_1_TimeSinceCreated\"] = time_since\n",
    "    appa_clean.loc[i,\"WO3_2_TimeSinceCreated\"] = time_since"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 568,
   "metadata": {},
   "outputs": [],
   "source": [
    "appa_clean = appa_clean.drop([\"TimeSinceCreated\"], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "appa_clean.to_csv(\"exports/appa_hr_crop_withCreated.csv\")"
   ]
  }
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