knn_imputation.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "9b33b524",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "# Create a synthetic dataset\n",
    "np.random.seed(0)  # For reproducibility\n",
    "data_size = 1000\n",
    "X = np.random.rand(data_size, 2)  # Generate random data\n",
    "X[:, 1] *= 100  # Scale the second feature\n",
    "\n",
    "# Introduce missing values in the second feature\n",
    "missing_rate = 0.3\n",
    "missing_indices = np.random.choice(data_size, int(data_size * missing_rate), replace=False)\n",
    "X[missing_indices, 1] = np.nan\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "921502f6",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.impute import SimpleImputer\n",
    "\n",
    "# Mean imputation\n",
    "mean_imputer = SimpleImputer(strategy='mean')\n",
    "X_mean_imputed = mean_imputer.fit_transform(X)\n",
    "\n",
    "# Zero imputation\n",
    "zero_imputer = SimpleImputer(strategy='constant', fill_value=0)\n",
    "X_zero_imputed = zero_imputer.fit_transform(X)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "2a96efa3",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.impute import KNNImputer\n",
    "\n",
    "knn_imputer = KNNImputer(n_neighbors=5)\n",
    "X_knn_imputed = knn_imputer.fit_transform(X)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "13519da3",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Function to plot data\n",
    "def plot_data(X, title):\n",
    "    plt.scatter(X[:, 0], X[:, 1], alpha=0.6)\n",
    "    plt.title(title)\n",
    "    plt.xlabel('Feature 1')\n",
    "    plt.ylabel('Feature 2')\n",
    "    plt.show()\n",
    "\n",
    "# Plot original data with missing values\n",
    "plot_data(X, 'Original Data with Missing Values')\n",
    "\n",
    "# Plot mean imputed data\n",
    "plot_data(X_mean_imputed, 'Mean Imputed Data')\n",
    "\n",
    "# Plot zero imputed data\n",
    "plot_data(X_zero_imputed, 'Zero Imputed Data')\n",
    "\n",
    "# Plot kNN imputed data\n",
    "plot_data(X_knn_imputed, 'kNN Imputed Data')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "8fc876b2",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Function to plot histogram\n",
    "def plot_histogram(X, title, bins=20):\n",
    "    plt.hist(X[:, 1], bins=bins, alpha=0.7)\n",
    "    plt.title(title)\n",
    "    plt.xlabel('Feature 2 Value')\n",
    "    plt.ylabel('Frequency')\n",
    "    plt.grid(axis='y', alpha=0.75)\n",
    "    plt.show()\n",
    "\n",
    "# Plot histogram for original data (masking out missing values for visualization)\n",
    "original_data_without_nan = X[~np.isnan(X[:, 1])]\n",
    "plot_histogram(original_data_without_nan, 'Original Data (without NaN)')\n",
    "\n",
    "# Plot histogram for mean imputed data\n",
    "plot_histogram(X_mean_imputed, 'Mean Imputed Data')\n",
    "\n",
    "# Plot histogram for zero imputed data\n",
    "plot_histogram(X_zero_imputed, 'Zero Imputed Data')\n",
    "\n",
    "# Plot histogram for kNN imputed data\n",
    "plot_histogram(X_knn_imputed, 'kNN Imputed Data')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "c5dcf292",
   "metadata": {},
   "outputs": [],
   "source": [
    "from mysenseds.modules.config.user_info import USER_INFO"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "ac356ea3",
   "metadata": {},
   "outputs": [],
   "source": [
    "def dict_to_rows(data, path=None):\n",
    "    if path is None:\n",
    "        path = []\n",
    "    if isinstance(data, dict):\n",
    "        rows = []\n",
    "        for k, v in data.items():\n",
    "            rows.extend(dict_to_rows(v, path + [k]))\n",
    "        return rows\n",
    "    else:\n",
    "        # Return the current path and the value as a single row\n",
    "        return [path + [data]]\n",
    "\n",
    "# Convert the dictionary to a list of rows, with each row being a path-value pair\n",
    "rows = dict_to_rows(USER_INFO)\n",
    "\n",
    "# Determine the maximum depth to normalize the length of each row\n",
    "max_depth = max(len(row) for row in rows)\n",
    "\n",
    "# Normalize rows to have the same length by padding shorter rows with None\n",
    "normalized_rows = [row + [None] * (max_depth - len(row)) for row in rows]\n",
    "\n",
    "# Convert the list of rows into a DataFrame\n",
    "df = pd.DataFrame(normalized_rows)\n",
    "\n",
    "# Optionally, rename columns to something more meaningful\n",
    "column_names = [f'Level {i+1}' for i in range(max_depth - 1)] + ['Value']\n",
    "df.columns = column_names\n",
    "\n",
    "# Save the DataFrame to an Excel file\n",
    "df.to_excel('nested_dict.xlsx', index=False, engine='openpyxl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "c41edc4c",
   "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>Level 1</th>\n",
       "      <th>Level 2</th>\n",
       "      <th>Level 3</th>\n",
       "      <th>Level 4</th>\n",
       "      <th>Level 5</th>\n",
       "      <th>Level 6</th>\n",
       "      <th>Value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>lastActiveTS</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>doorStillOpen</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>lastChairOnTS</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>lastChairOffTS</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>lastCheckTS</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>393</th>\n",
       "      <td>nightTimeExcursions</td>\n",
       "      <td>last7DayStd</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>394</th>\n",
       "      <td>nightTimeExcursions</td>\n",
       "      <td>last3DayAverage</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>395</th>\n",
       "      <td>nightTimeExcursions</td>\n",
       "      <td>last3DayStd</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>396</th>\n",
       "      <td>nightTimeExcursions</td>\n",
       "      <td>last28DayAverage</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>397</th>\n",
       "      <td>nightTimeExcursions</td>\n",
       "      <td>last28DayStd</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>398 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                 Level 1           Level 2 Level 3 Level 4 Level 5 Level 6  \\\n",
       "0           lastActiveTS                 0    None    None    None    None   \n",
       "1          doorStillOpen                 0    None    None    None    None   \n",
       "2          lastChairOnTS                 0    None    None    None    None   \n",
       "3         lastChairOffTS                 0    None    None    None    None   \n",
       "4            lastCheckTS                 0    None    None    None    None   \n",
       "..                   ...               ...     ...     ...     ...     ...   \n",
       "393  nightTimeExcursions       last7DayStd       0    None    None    None   \n",
       "394  nightTimeExcursions   last3DayAverage       0    None    None    None   \n",
       "395  nightTimeExcursions       last3DayStd       0    None    None    None   \n",
       "396  nightTimeExcursions  last28DayAverage       0    None    None    None   \n",
       "397  nightTimeExcursions      last28DayStd       0    None    None    None   \n",
       "\n",
       "     Value  \n",
       "0      NaN  \n",
       "1      NaN  \n",
       "2      NaN  \n",
       "3      NaN  \n",
       "4      NaN  \n",
       "..     ...  \n",
       "393    NaN  \n",
       "394    NaN  \n",
       "395    NaN  \n",
       "396    NaN  \n",
       "397    NaN  \n",
       "\n",
       "[398 rows x 7 columns]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "0f626171",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "300.0"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "500*0.6"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "3bb3496e",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'lastActiveTS': 0,\n",
       " 'doorStillOpen': 0,\n",
       " 'lastChairOnTS': 0,\n",
       " 'lastChairOffTS': 0,\n",
       " 'lastCheckTS': 0,\n",
       " 'lastDoorTS': 0,\n",
       " 'LastCheckHrTS': 0,\n",
       " 'lastCheckRhrTS': 0,\n",
       " 'doorUsed': False,\n",
       " 'outAtNight': False,\n",
       " 'nightWindow': {'start': '21:00', 'end': '06:00'},\n",
       " 'activeHr': {'eventIdHr': None, 'minutes': 0, 'ts': 0},\n",
       " 'sleep': {'move': [],\n",
       "  'state': 'awake',\n",
       "  'inBed': False,\n",
       "  'prevTS': 0,\n",
       "  'lastOn': 0,\n",
       "  'lastOff': 0,\n",
       "  'bufferX': [],\n",
       "  'bufferD': [],\n",
       "  'prevSPow': 0,\n",
       "  'debounce': 0,\n",
       "  'p10Count': 0,\n",
       "  'p25Count': 0,\n",
       "  'totCount': 0,\n",
       "  'noMoveCount': 0,\n",
       "  'upAtNight': 0,\n",
       "  'last_bed_out_ts': 0,\n",
       "  'last_bed_in_bool': False},\n",
       " 'sleepScore': {'last7DayAverage': 0, 'last7DayStd': 0},\n",
       " 'RSSI': {'avg': 0,\n",
       "  'things': {'Toilet': -90,\n",
       "   'BathroomDoor': -90,\n",
       "   'Fridge': -90,\n",
       "   'Tap': -90,\n",
       "   'Wearable': -90,\n",
       "   'Plug': -90,\n",
       "   'Chair': -90,\n",
       "   'FrontDoor': -90}},\n",
       " 'atHome': True,\n",
       " 'ts': 0,\n",
       " 'TZ': 'Europe/London',\n",
       " 'sensors': {'TapUse': {'lastCheckedTS': 0, 'stats': {'avg': 0, 'std': 0}},\n",
       "  'FridgeUse': {'lastCheckedTS': 0, 'stats': {'avg': 0, 'std': 0}},\n",
       "  'ChairUse': {'lastCheckedTS': 0, 'stats': {'avg': 0, 'std': 0}},\n",
       "  'ToiletUse': {'lastCheckedTS': 0,\n",
       "   'stats': {'avg': 0, 'std': 0},\n",
       "   'alert': 0,\n",
       "   'cusum': {'SH': 0, 'SL': 0},\n",
       "   'detailed_stats': {'Mon': {'0-6': {'avg': 0, 'std': 0, 'count': 0},\n",
       "     '6-12': {'avg': 0, 'std': 0, 'count': 0},\n",
       "     '12-18': {'avg': 0, 'std': 0, 'count': 0},\n",
       "     '18-0': {'avg': 0, 'std': 0, 'count': 0}},\n",
       "    'Tue': {'0-6': {'avg': 0, 'std': 0, 'count': 0},\n",
       "     '6-12': {'avg': 0, 'std': 0, 'count': 0},\n",
       "     '12-18': {'avg': 0, 'std': 0, 'count': 0},\n",
       "     '18-0': {'avg': 0, 'std': 0, 'count': 0}},\n",
       "    'Wed': {'0-6': {'avg': 0, 'std': 0, 'count': 0},\n",
       "     '6-12': {'avg': 0, 'std': 0, 'count': 0},\n",
       "     '12-18': {'avg': 0, 'std': 0, 'count': 0},\n",
       "     '18-0': {'avg': 0, 'std': 0, 'count': 0}},\n",
       "    'Thu': {'0-6': {'avg': 0, 'std': 0, 'count': 0},\n",
       "     '6-12': {'avg': 0, 'std': 0, 'count': 0},\n",
       "     '12-18': {'avg': 0, 'std': 0, 'count': 0},\n",
       "     '18-0': {'avg': 0, 'std': 0, 'count': 0}},\n",
       "    'Fri': {'0-6': {'avg': 0, 'std': 0, 'count': 0},\n",
       "     '6-12': {'avg': 0, 'std': 0, 'count': 0},\n",
       "     '12-18': {'avg': 0, 'std': 0, 'count': 0},\n",
       "     '18-0': {'avg': 0, 'std': 0, 'count': 0}},\n",
       "    'Sat': {'0-6': {'avg': 0, 'std': 0, 'count': 0},\n",
       "     '6-12': {'avg': 0, 'std': 0, 'count': 0},\n",
       "     '12-18': {'avg': 0, 'std': 0, 'count': 0},\n",
       "     '18-0': {'avg': 0, 'std': 0, 'count': 0}},\n",
       "    'Sun': {'0-6': {'avg': 0, 'std': 0, 'count': 0},\n",
       "     '6-12': {'avg': 0, 'std': 0, 'count': 0},\n",
       "     '12-18': {'avg': 0, 'std': 0, 'count': 0},\n",
       "     '18-0': {'avg': 0, 'std': 0, 'count': 0}}}},\n",
       "  'FrontDoorUse': {'lastCheckedTS': 0, 'stats': {'avg': 0, 'std': 0}},\n",
       "  'KettleUse': {'lastCheckedTS': 0, 'stats': {'avg': 0, 'std': 0}},\n",
       "  'BathroomDoorUse': {'lastCheckedTS': 0, 'stats': {'avg': 0, 'std': 0}}},\n",
       " 'alerts': {'Hydration': {'avg': 240, 'std': 120, '75%': 360, 'level': 1},\n",
       "  'Independence': {'avg': 240, 'std': 120, '75%': 360, 'level': 1},\n",
       "  'Nutrition': {'avg': 240, 'std': 120, '75%': 480, 'level': 1},\n",
       "  'Mobility': {'avg': 240, 'std': 120, '75%': 180, 'level': 1}},\n",
       " 'bed_use': {'alert': None},\n",
       " 'chair': {'lastElapsed': 0,\n",
       "  'last3DayAverage': 0,\n",
       "  'last7DayAverage': 0,\n",
       "  'last28DayAverage': 0,\n",
       "  'last3DayStd': 0,\n",
       "  'last7DayStd': 0,\n",
       "  'last28DayStd': 0,\n",
       "  'boxcoxLambda': 0},\n",
       " 'time_in_bed': {'totalTimeInBed': 0,\n",
       "  'last3DayAverage': 0,\n",
       "  'last7DayAverage': 0,\n",
       "  'last28DayAverage': 0,\n",
       "  'last3DayStd': 0,\n",
       "  'last7DayStd': 0,\n",
       "  'last28DayStd': 0},\n",
       " 'time_to_bed': {'lastKnownBedTime': '00:00:00',\n",
       "  'lastKnown3DayAverage': '00:00:00',\n",
       "  'lastKnown7DayAverage': '00:00:00',\n",
       "  'lastKnown28DayAverage': '00:00:00',\n",
       "  'lastKnown3DayStd': '00:00:00',\n",
       "  'lastKnown7DayStd': '00:00:00',\n",
       "  'lastKnown28DayStd': '00:00:00'},\n",
       " 'time_out_of_bed': {'lastKnownBedTime': '00:00:00',\n",
       "  'lastKnown3DayAverage': '00:00:00',\n",
       "  'lastKnown7DayAverage': '00:00:00',\n",
       "  'lastKnown28DayAverage': '00:00:00',\n",
       "  'lastKnown3DayStd': '00:00:00',\n",
       "  'lastKnown7DayStd': '00:00:00',\n",
       "  'lastKnown28DayStd': '00:00:00'},\n",
       " 'stepCount': {'lastTotalSteps': 0,\n",
       "  'last3DayAverage': 0,\n",
       "  'last7DayAverage': 0,\n",
       "  'last28DayAverage': 0,\n",
       "  'last3DayStd': 0,\n",
       "  'last7DayStd': 0,\n",
       "  'last28DayStd': 0},\n",
       " 'breathing_rate': {'lastBreathingRate': 0,\n",
       "  'last3DayAverage': 0,\n",
       "  'last7DayAverage': 0,\n",
       "  'last28DayAverage': 0,\n",
       "  'last3DayStd': 0,\n",
       "  'last7DayStd': 0,\n",
       "  'last28DayStd': 0},\n",
       " 'resting_heartrate': {'lastKnownRhr': 0},\n",
       " 'ambientTemperature': {'lastKonwnTemperature': 0,\n",
       "  'last3DayAverage': 0,\n",
       "  'last7DayAverage': 0,\n",
       "  'last28DayAverage': 0,\n",
       "  'last3DayStd': 0,\n",
       "  'last7DayStd': 0,\n",
       "  'last28DayStd': 0,\n",
       "  'lastTempTs': 0,\n",
       "  'lastTemp': 0},\n",
       " 'heartRate': {'quantiles': {'Q1': {'ewmaAvg': 0, 'ewmaStd': 0},\n",
       "   'Q3': {'ewmaAvg': 0, 'ewmaStd': 0}},\n",
       "  'resting': {'last3DayAverage': 0,\n",
       "   'last7DayAverage': 0,\n",
       "   'last28DayAverage': 0,\n",
       "   'last3DayStd': 0,\n",
       "   'last7DayStd': 0,\n",
       "   'last28DayStd': 0},\n",
       "  'hearRateDaily': {'last3DayAverage': 0,\n",
       "   'last7DayAverage': 0,\n",
       "   'last28DayAverage': 0,\n",
       "   'last3DayStd': 0,\n",
       "   'last7DayStd': 0,\n",
       "   'last28DayStd': 0,\n",
       "   'boxcoxLambda': 0},\n",
       "  'heartRateHourly': {'last24HourlyAverage': 0,\n",
       "   'last48HourlyAverage': 0,\n",
       "   'last72HourlyAverage': 0,\n",
       "   'last24HourlyStd': 0,\n",
       "   'last48HourlyStd': 0,\n",
       "   'last72HourlyStd': 0},\n",
       "  'heartRateMax': {'last7DayAverage': 0, 'last7DayStd': 0},\n",
       "  'heartRateMin': {'last7DayAverage': 0, 'last7DayStd': 0},\n",
       "  'hearRatePeriodic': {'lastHeartRateOnTS': 0},\n",
       "  'heartRecoveryRate': {'last7DayAverage': 0, 'last7DayStd': 0}},\n",
       " 'timeSpentOut': {'last3DayAverage': 0,\n",
       "  'last7DayAverage': 0,\n",
       "  'last28DayAverage': 0,\n",
       "  'last3DayStd': 0,\n",
       "  'last7DayStd': 0,\n",
       "  'last28DayStd': 0,\n",
       "  'detailed_stats': {'counter': 0,\n",
       "   'Mon': 0,\n",
       "   'Tue': 0,\n",
       "   'Wed': 0,\n",
       "   'Thu': 0,\n",
       "   'Fri': 0,\n",
       "   'Sat': 0,\n",
       "   'Sun': 0}},\n",
       " 'timeAsleep': {'last7DayAverage': 0, 'last7DayStd': 0},\n",
       " 'toiletUse': {'7DayAverage': 0,\n",
       "  '7DayStd': 0,\n",
       "  '7NightAverage': 0,\n",
       "  '7NightStd': 0,\n",
       "  '7SleepAverage': 0,\n",
       "  '7SleepStd': 0,\n",
       "  '7TotalAverage': 0,\n",
       "  '7TotalStd': 0},\n",
       " 'showerUse': {'last3DayAverage': 0,\n",
       "  'last7DayAverage': 0,\n",
       "  'last3DayStd': 0,\n",
       "  'last7DayStd': 0},\n",
       " 'timeAtRest': {'last7DayAverage': 0,\n",
       "  'last7DayStd': 0,\n",
       "  'last3DayAverage': 0,\n",
       "  'last3DayStd': 0,\n",
       "  'last28DayAverage': 0,\n",
       "  'last28DayStd': 0},\n",
       " 'timeToFallAsleep': {'last7DayAverage': 0, 'last7DayStd': 0},\n",
       " 'timeAfterAwake': {'last7DayAverage': 0, 'last7DayStd': 0},\n",
       " 'bed_time_averages': False,\n",
       " 'rolling_time_to_bed': False,\n",
       " 'rolling_time_in_chair': False,\n",
       " 'rolling_time_in_bed': False,\n",
       " 'resting_heart_rate_historic_averages': False,\n",
       " 'historical_jobs': {'timeToFallAsleep': {'lastTs': 0},\n",
       "  'temperatureChange': {'lastTs': 0},\n",
       "  'toiletCount': {'lastTs': 0},\n",
       "  'timeAsleep': {'lastTs': 0},\n",
       "  'historicalStepCount': {'lastTs': 0},\n",
       "  'heartRateDaily': {'lastTs': 0},\n",
       "  'behaviourScanningToiletUse': {'lastTs': 0},\n",
       "  'bedTimeAverages': {'lastTs': 0},\n",
       "  'breathingRate': {'lastTs': 0},\n",
       "  'restingHeartRate': {'lastTs': 0},\n",
       "  'rollingStepCount': {'lastTs': 0},\n",
       "  'timeSpentOut': {'lastTs': 0},\n",
       "  'timeInChair': {'lastTs': 0},\n",
       "  'rollingTimeInBed': {'lastTs': 0},\n",
       "  'showerUse': {'lastTs': 0},\n",
       "  'historicalLocationRoutine': {'lastTs': 0},\n",
       "  'historicalAbnormalBedActivity': {'lastTs': 0}},\n",
       " 'daily_jobs': {'behaviourScanningToiletUse': {'lastTs': 0},\n",
       "  'locationRoutine': {'lastTs': 0},\n",
       "  'abnormalBedActivity': {'lastTs': 0}},\n",
       " 'behaviourChange': {'overallMetric': {'value': None, 'level': ''},\n",
       "  'healthMetric': {'value': None, 'level': ''},\n",
       "  'sleepMetric': {'value': None, 'level': ''},\n",
       "  'personalCareMetric': {'value': None, 'level': ''},\n",
       "  'activityMetric': {'value': None, 'level': ''}},\n",
       " 'daily_changes': {'score': 0,\n",
       "  'health': 0,\n",
       "  'sleep': 0,\n",
       "  'personal_care': 0,\n",
       "  'activity': 0,\n",
       "  'resting_heartrate': {'probability': 0.5, 'z_score': 0},\n",
       "  'heartrate_average': {'probability': 0.5, 'z_score': 0},\n",
       "  'max_heartrate': {'probability': 0.5, 'z_score': 0},\n",
       "  'min_heartrate': {'probability': 0.5, 'z_score': 0},\n",
       "  'mean_breathing_rate': {'probability': 0.5, 'z_score': 0},\n",
       "  'time_in_bed': {'probability': 0.5, 'z_score': 0},\n",
       "  'time_to_bed': {'probability': 0.5, 'z_score': 0},\n",
       "  'time_out_of_bed': {'probability': 0.5, 'z_score': 0},\n",
       "  'day_toilet': {'probability': 0.5, 'z_score': 0},\n",
       "  'night_toilet': {'probability': 0.5, 'z_score': 0},\n",
       "  'total_toilet': {'probability': 0.5, 'z_score': 0},\n",
       "  'sleep_toilet': {'probability': 0.5, 'z_score': 0},\n",
       "  'shower_use': {'probability': 0.5, 'z_score': 0},\n",
       "  'time_in_chair': {'probability': 0.5, 'z_score': 0},\n",
       "  'time_spent_out': {'probability': 0.5, 'z_score': 0},\n",
       "  'total_steps': {'probability': 0.5, 'z_score': 0},\n",
       "  'time_asleep': {'probability': 0.5, 'z_score': 0},\n",
       "  'time_fall_asleep': {'probability': 0.5, 'z_score': 0},\n",
       "  'time_awake_in_bed': {'probability': 0.5, 'z_score': 0},\n",
       "  'recovery_rate': {'probability': 0.5, 'z_score': 0},\n",
       "  'transitions': {'probability': 0.5, 'z_score': 0},\n",
       "  'transfers': {'probability': 0.5, 'z_score': 0}},\n",
       " 'battery': {'Wearable': {'level': 0, 'ts': 0},\n",
       "  'Chair': {'level': 0, 'ts': 0},\n",
       "  'Tap': {'level': 0, 'ts': 0},\n",
       "  'Plug': {'level': 0, 'ts': 0},\n",
       "  'Fridge': {'level': 0, 'ts': 0},\n",
       "  'FrontDoor': {'level': 0, 'ts': 0},\n",
       "  'BathroomDoor': {'level': 0, 'ts': 0},\n",
       "  'Toilet': {'level': 0, 'ts': 0}},\n",
       " 'nightTimeExcursions': {'last7DayAverage': 0,\n",
       "  'last7DayStd': 0,\n",
       "  'last3DayAverage': 0,\n",
       "  'last3DayStd': 0,\n",
       "  'last28DayAverage': 0,\n",
       "  'last28DayStd': 0}}"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "USER_INFO"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "bf055047",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "20.0"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "1200/60"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "a8eb8e52",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "420.0"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "700*.6"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "88f2133c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1392456"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "26778*52"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "5a3368db",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2007500"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "5500*365"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "08802fa8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "200.0"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "1100000/5500"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "93bd84fa",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "\n",
    "def heartrate_prepare_data(cid: str, sensor_data: pd.DataFrame) -> pd.DataFrame:\n",
    "    '''\n",
    "    Prepare a DataFrame to include only the heart rate data for a specific client.\n",
    "\n",
    "    Parameters:\n",
    "    -----------\n",
    "    cid : int\n",
    "        The client identifier.\n",
    "    sensor_data : DataFrame\n",
    "        A DataFrame containing sensor data, which may include multiple measurements and clients.\n",
    "\n",
    "    Returns:\n",
    "    --------\n",
    "    Union[DataFrame, None]\n",
    "        A DataFrame containing only the timestamp and heart rate for the specified client,\n",
    "        or None if the DataFrame does not contain the required data.\n",
    "\n",
    "    '''\n",
    "    columns = ['ts', 'heartrate']\n",
    "    # Create a copy of the input DataFrame to avoid modifying the original data\n",
    "    data_frame = sensor_data.copy()\n",
    "\n",
    "    # Check if the DataFrame contains a 'cid' column and filter data for the specified client\n",
    "    if set(['cid']).issubset(data_frame.columns):\n",
    "        data_frame = data_frame[data_frame['cid'] == cid]\n",
    "    else:\n",
    "        # Return an empty DataFrame if 'cid' column is not found\n",
    "        return pd.DataFrame(columns=columns)\n",
    "\n",
    "    # Check if the DataFrame is empty after filtering by 'cid'\n",
    "    if data_frame.empty or data_frame is None:\n",
    "        return pd.DataFrame(columns=columns)\n",
    "\n",
    "    # Filter rows where heart rate is greater than zero\n",
    "    data_frame = data_frame[data_frame['heartrate'] > 0].reset_index(drop=True)\n",
    "\n",
    "    # Check if the DataFrame is empty after filtering by 'heartrate'\n",
    "    if data_frame.empty:\n",
    "        return pd.DataFrame(columns=columns)\n",
    "\n",
    "    # Return a DataFrame with only the 'ts' and 'heartrate' columns\n",
    "    return data_frame[['ts', 'heartrate']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "e65b52e6",
   "metadata": {},
   "outputs": [],
   "source": [
    "def load_data_1():\n",
    "    df = pd.DataFrame([[\"fake_user\", 0]], columns=[\"cid\", \"heartrate\"])\n",
    "    return df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "55fe9d72",
   "metadata": {},
   "outputs": [],
   "source": [
    "data = load_data_1()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "60c6ae11",
   "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>cid</th>\n",
       "      <th>heartrate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>fake_user</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         cid  heartrate\n",
       "0  fake_user          0"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "0939105e",
   "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>ts</th>\n",
       "      <th>heartrate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [ts, heartrate]\n",
       "Index: []"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "heartrate_prepare_data(\"user\", data).reset_index(drop=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "77d2c0e0",
   "metadata": {},
   "outputs": [],
   "source": [
    "from typing import Dict, Tuple\n",
    "\n",
    "def prepare_breathing_data(sensor_data: pd.DataFrame) -> Tuple[pd.DataFrame, pd.DataFrame]:\n",
    "    \"\"\"\n",
    "    Prepares the sensor data for analysis by filtering and aggregating the data.\n",
    "\n",
    "    This function takes a DataFrame containing sensor data, filters out rows based on breathing rate,\n",
    "    groups the data by user and day, and calculates the average breathing rate per user per day.\n",
    "    If the input DataFrame is empty, a new DataFrame with predefined columns is initialized.\n",
    "\n",
    "    Args:\n",
    "        sensor_data (pd.DataFrame): A DataFrame containing sensor data. It should at least contain\n",
    "                                     'ts' and 'breathingrate' columns for successful processing.\n",
    "\n",
    "    Returns:\n",
    "        pd.DataFrame: Returns a DataFrame containing 'cid', 'date', 'breathingrate', and 'ts' fields,\n",
    "                      representing the user ID, date, average breathing rate, and midday timestamp respectively.\n",
    "\n",
    "    Raises:\n",
    "        TypeError: Raises a TypeError if the input is not a pandas DataFrame.\n",
    "    \"\"\"\n",
    "\n",
    "    if not isinstance(sensor_data, pd.DataFrame):\n",
    "        raise TypeError(\"Input sensor_data should be a pandas DataFrame.\")\n",
    "\n",
    "    # If the sensor data is empty, initialize an empty DataFrame with the required columns\n",
    "    if sensor_data.empty:\n",
    "        sensor_data = pd.DataFrame(columns=['model', 'ts', 'spectralpower', 'event', 'device', 'createdAt', 'mac', 'heartrate',\n",
    "                                   'tts', 'ExpirationTime', 'breathingrate', 'cid', 'type', 'ambientTemp', 'duration', 'value', 'stepcount'])\n",
    "\n",
    "    # Convert the 'ts' column values to datetime objects and extract the date component, storing it in a new 'date' column.\n",
    "    sensor_data['date'] = sensor_data['ts'].map(\n",
    "        lambda x: pd.to_datetime(x, unit='ms').date())\n",
    "\n",
    "    # Filter the data rows where the 'breathingrate' is between 10 and 40, then select 'cid', 'date', and 'breathingrate' columns,\n",
    "    # group by 'cid' and 'date' and calculate the mean of 'breathingrate' for each group.\n",
    "    sensor_data_grouped = sensor_data.query('breathingrate >@BR_MINIMUM_LIMIT and breathingrate <@BR_MAXIMUM_LIMIT').loc[:, [\n",
    "        'cid', 'date', 'breathingrate']].groupby(['date']).agg(\n",
    "        breathingrate=('breathingrate', np.mean),\n",
    "        freq=('breathingrate', 'count')).reset_index()\n",
    "\n",
    "    # Remove entries with a sample size less than 30 observations\n",
    "    sensor_data_grouped = sensor_data_grouped.query(\n",
    "        \"freq > @BR_SAMPLE_SIZE\").reset_index()\n",
    "\n",
    "    # Convert the 'date' column values to midday datetime objects and convert them to timestamp in milliseconds, storing it back in the 'ts' column.\n",
    "    sensor_data_grouped['ts'] = sensor_data_grouped['date'].map(\n",
    "        lambda x: midday_datetime_from_date(x).timestamp() * 1000)\n",
    "\n",
    "    sensor_data = sensor_data.query('breathingrate >@BR_MINIMUM_LIMIT and breathingrate <@BR_MAXIMUM_LIMIT').loc[:, [\n",
    "        'cid', 'date', 'breathingrate']].reset_index(drop=True)\n",
    "    return sensor_data_grouped, sensor_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "b2b2e3b8",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import pickle\n",
    "\n",
    "def load_sensor_data():\n",
    "    with open(\"user_sensors\", \"rb\") as fp:   # Unpickling\n",
    "        data = pickle.load(fp)\n",
    "    return data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "65e2af50",
   "metadata": {},
   "outputs": [
    {
     "ename": "FileNotFoundError",
     "evalue": "[Errno 2] No such file or directory: 'user_sensors'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mFileNotFoundError\u001b[0m                         Traceback (most recent call last)",
      "Input \u001b[0;32mIn [26]\u001b[0m, in \u001b[0;36m<cell line: 1>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0m data \u001b[38;5;241m=\u001b[39m \u001b[43mload_sensor_data\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n",
      "Input \u001b[0;32mIn [25]\u001b[0m, in \u001b[0;36mload_sensor_data\u001b[0;34m()\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mload_sensor_data\u001b[39m():\n\u001b[0;32m----> 5\u001b[0m     \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28;43mopen\u001b[39;49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43muser_sensors\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mrb\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m \u001b[38;5;28;01mas\u001b[39;00m fp:   \u001b[38;5;66;03m# Unpickling\u001b[39;00m\n\u001b[1;32m      6\u001b[0m         data \u001b[38;5;241m=\u001b[39m pickle\u001b[38;5;241m.\u001b[39mload(fp)\n\u001b[1;32m      7\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m data\n",
      "\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: 'user_sensors'"
     ]
    }
   ],
   "source": [
    "data = load_sensor_data()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "583a9350",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Eigenvalues: [1.8660254 0.1339746]\n",
      "Eigenvectors: [[ 0.9390708   0.59069049]\n",
      " [-0.34372377  0.80689822]]\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "\n",
    "# Define the matrix A\n",
    "A = np.array([\n",
    "    [3/2, -1],\n",
    "    [-1/2, 1/2]\n",
    "])\n",
    "\n",
    "# Calculate the eigenvalues and eigenvectors of A\n",
    "eigenvalues, eigenvectors = np.linalg.eig(A)\n",
    "\n",
    "print(\"Eigenvalues:\", eigenvalues)\n",
    "print(\"Eigenvectors:\", eigenvectors)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "a999daff",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-0.7320508075688772"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "1-np.sqrt(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "08f80263",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "72"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "int(72.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "a6dd0b54",
   "metadata": {},
   "outputs": [],
   "source": [
    "def simple():\n",
    "    print(\"this is a function\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "182e4ded",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "this is a function\n"
     ]
    }
   ],
   "source": [
    "result = simple()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "03de4034",
   "metadata": {},
   "outputs": [],
   "source": [
    "result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "c9bf8d46",
   "metadata": {},
   "outputs": [],
   "source": [
    "class Dog:     \n",
    "    def bark():         \n",
    "        print(\"woof!\")\n",
    "\n",
    "dog = Dog()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "7908e730",
   "metadata": {},
   "outputs": [
    {
     "ename": "TypeError",
     "evalue": "bark() takes 0 positional arguments but 1 was given",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "Input \u001b[0;32mIn [36]\u001b[0m, in \u001b[0;36m<cell line: 1>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mdog\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mbark\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n",
      "\u001b[0;31mTypeError\u001b[0m: bark() takes 0 positional arguments but 1 was given"
     ]
    }
   ],
   "source": [
    "dog.bark()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "f1388882",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "\n",
    "timestamp_df = pd.DataFrame({\n",
    "    \"date\": [\"2024-03-28\", \"2024-03-29\"],\n",
    "    \"ts\": [[1711666444254], [1711699363310]],\n",
    "    \"day\": [0, 0],\n",
    "    \"night\": [1, 1],\n",
    "    \"night_array\": [[1711666444254, 1711699363310], []]\n",
    "}, columns=[\"date\", \"ts\", \"day\", \"night\", \"night_array\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "0848e0df",
   "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>date</th>\n",
       "      <th>ts</th>\n",
       "      <th>day</th>\n",
       "      <th>night</th>\n",
       "      <th>night_array</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2024-03-28</td>\n",
       "      <td>[1711666444254]</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>[1711666444254, 1711699363310]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2024-03-29</td>\n",
       "      <td>[1711699363310]</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         date               ts  day  night                     night_array\n",
       "0  2024-03-28  [1711666444254]    0      1  [1711666444254, 1711699363310]\n",
       "1  2024-03-29  [1711699363310]    0      1                              []"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "timestamp_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9cfd26b8",
   "metadata": {},
   "outputs": [],
   "source": [
    "bed_session_df = pd.DataFrame({\n",
    "    \"date\": [\"2024-03-28\"],\n",
    "    \"bed_sessions\": [[1711684847145, 1711686047201]]\n",
    "    \"ts\": 1711627200000.0\n",
    "})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "b7b87221",
   "metadata": {},
   "outputs": [],
   "source": [
    "from mysenseds.utils.time_utils import update_time_zone, midday_ts, now_ts, hours_back, get_day\n",
    "import os\n",
    "os.environ[\"TZ\"] = \"Europe/London\"\n",
    "import datetime"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "2069272d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1711713600000.0"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "midday_ts(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "75a962e0",
   "metadata": {},
   "outputs": [],
   "source": [
    "def load_stats_data():\n",
    "    \"\"\"Sample stats data with sleep sessions\"\"\"\n",
    "    data = {\n",
    "            \"date\": [datetime.date(2024, 3, 28)],\n",
    "            \"bed_session\": [[[1711684847145, 1711686047201]]], \n",
    "            \"ts\": 1711627200000.0\n",
    "            }\n",
    "    data = pd.DataFrame(data)\n",
    "\n",
    "    return data.set_index('ts')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "d8427469",
   "metadata": {},
   "outputs": [],
   "source": [
    "stats_df = load_stats_data()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "921d9025",
   "metadata": {},
   "outputs": [],
   "source": [
    "def load_sensor_data_1():\n",
    "    \"\"\"Sample sensor data\"\"\"\n",
    "    data = {\n",
    "            'date': [datetime.date(2024, 3, 28), datetime.date(2024, 3, 29)],\n",
    "            \"timestamp\": [[1711666444254], [1711699363310]],\n",
    "            \"day\": [0, 0],\n",
    "            \"night\": [1, 1],\n",
    "            \"night_array\": [[1711666444254, 1711699363310], []]\n",
    "            }\n",
    "    return pd.DataFrame(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "93c82813",
   "metadata": {},
   "outputs": [],
   "source": [
    "sensor_df = load_sensor_data_1()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "779945db",
   "metadata": {},
   "outputs": [],
   "source": [
    "stats_df = sensor_df.set_index('date').join(\n",
    "        stats_df.set_index('date'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "71d0c8be",
   "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>timestamp</th>\n",
       "      <th>day</th>\n",
       "      <th>night</th>\n",
       "      <th>night_array</th>\n",
       "      <th>bed_session</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</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>2024-03-28</th>\n",
       "      <td>[1711666444254]</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>[1711666444254, 1711699363310]</td>\n",
       "      <td>[[1711684847145, 1711686047201]]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-03-29</th>\n",
       "      <td>[1711699363310]</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>[]</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  timestamp  day  night                     night_array  \\\n",
       "date                                                                      \n",
       "2024-03-28  [1711666444254]    0      1  [1711666444254, 1711699363310]   \n",
       "2024-03-29  [1711699363310]    0      1                              []   \n",
       "\n",
       "                                 bed_session  \n",
       "date                                          \n",
       "2024-03-28  [[1711684847145, 1711686047201]]  \n",
       "2024-03-29                               NaN  "
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "584bd4de",
   "metadata": {},
   "outputs": [],
   "source": [
    "from mysenseds.utils.time_utils import update_time_zone, midday_datetime_from_date, midday_ts, now_ts\n",
    "stats_df['sleep_count'] = 0\n",
    "\n",
    "    # Reset index and add a 'ts' column representing timestamps\n",
    "stats_df = stats_df.reset_index()\n",
    "stats_df['ts'] = stats_df['date'].map(\n",
    "        lambda x: midday_datetime_from_date(x).timestamp() * 1000)\n",
    "\n",
    "stats_df.loc[:, \"sleep_count\"] = 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "9a5ff236",
   "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>date</th>\n",
       "      <th>timestamp</th>\n",
       "      <th>day</th>\n",
       "      <th>night</th>\n",
       "      <th>night_array</th>\n",
       "      <th>bed_session</th>\n",
       "      <th>sleep_count</th>\n",
       "      <th>ts</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2024-03-28</td>\n",
       "      <td>[1711666444254]</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>[1711666444254, 1711699363310]</td>\n",
       "      <td>[[1711684847145, 1711686047201]]</td>\n",
       "      <td>0</td>\n",
       "      <td>1.711627e+12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2024-03-29</td>\n",
       "      <td>[1711699363310]</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>[]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>1.711714e+12</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         date        timestamp  day  night                     night_array  \\\n",
       "0  2024-03-28  [1711666444254]    0      1  [1711666444254, 1711699363310]   \n",
       "1  2024-03-29  [1711699363310]    0      1                              []   \n",
       "\n",
       "                        bed_session  sleep_count            ts  \n",
       "0  [[1711684847145, 1711686047201]]            0  1.711627e+12  \n",
       "1                               NaN            0  1.711714e+12  "
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "23635055",
   "metadata": {},
   "outputs": [],
   "source": [
    "for row in stats_df.itertuples():\n",
    "    counter = 0\n",
    "    # Check if there are night time toilet uses\n",
    "    if len(row.night_array) != 0:\n",
    "        for ts in row.night_array:\n",
    "            for bed_session in row.bed_session:\n",
    "            # Count uses between 'bedOutTs' and 'bedInTs'\n",
    "                if bed_session[0] < ts < bed_session[1]:\n",
    "                    counter += 1\n",
    "        stats_df.loc[row.Index, 'sleep_count'] = counter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ba2b52ac",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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