1-state-inference.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# State inference notebook\n",
    "This notebook is used to load raw data files, infer activity states from the raw data, and visualize these actvitiy states\n",
    "\n",
    "Copyright (C) 2020  Andrew Sonta, Rishee K. Jain\n",
    "\n",
    "This program is free software: you can redistribute it and/or modify\n",
    "it under the terms of the GNU Affero General Public License as published\n",
    "by the Free Software Foundation, either version 3 of the License, or\n",
    "(at your option) any later version.\n",
    "\n",
    "This program is distributed in the hope that it will be useful,\n",
    "but WITHOUT ANY WARRANTY; without even the implied warranty of\n",
    "MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n",
    "GNU Affero General Public License for more details.\n",
    "\n",
    "You should have received a copy of the GNU Affero General Public License\n",
    "along with this program.  If not, see <https://www.gnu.org/licenses/>."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import glob\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib\n",
    "import matplotlib.dates as mdates\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.font_manager as fm\n",
    "import src.__init__ as init\n",
    "timestep = init.TIME_STEP\n",
    "timesteps = int(1440/timestep)\n",
    "\n",
    "# Set fonts for plotting\n",
    "\n",
    "# font_path = 'MyriadPro-Regular.otf'\n",
    "# prop = fm.FontProperties(fname=font_path)\n",
    "# matplotlib.rcParams['font.family'] = prop.get_name()\n",
    "\n",
    "font = {'family' : 'Arial',\n",
    "        'size'   : 18}\n",
    "matplotlib.rc('font', **font)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Clean raw data files\n",
    "\n",
    "The exact process for data cleaning will depend on the structure of the data, but in all cases we want to end up with a clean data file that has one value for each occupant at the master time step set in the `__init__.py` file.\n",
    "\n",
    "**Missing values.** In all cases, the raw data file will occasionally have missing values. In certain plug load examples -- such as the one shown here -- the most common reason for a missing value is when the signal to the sensor does not change significantly. For example, a sensor will record 0 when all equipment is turned off, and it will not produce another reading again until some amount of power flows through it. Using this insight, the data cleansing process is as follows:\n",
    "1. Remove outliers from the data (define here as 3 SD away from mean, or anything greater than 1000). These are usually caused by sensor error.\n",
    "2. Resample at the interval set in our `__init__.py` file, taking the mean for values produced within this interval.\n",
    "3. Forward fill any missing values produces from the resampling, as well as any missing values naturally ocurring in the data. When we have many missing values after a reading of 0, we fill with all 0s until another positive reading."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1.95900630257044e-05\n",
      "0.004038640547576331\n",
      "1.2776128060241999e-06\n"
     ]
    }
   ],
   "source": [
    "# Concatenate each data file into one Pandas dataframe (raw_df)\n",
    "path = os.getcwd() + '/data/raw'\n",
    "all_files = glob.glob(os.path.join(path, '*.csv'))\n",
    "df_from_each_file = (pd.read_csv(f) for f in all_files)\n",
    "raw_df = pd.concat(df_from_each_file, sort=True, ignore_index=True)\n",
    "\n",
    "# Set the index to the column containing timestamps. Note: may need to adjust the 'Time' string depending on the data file.\n",
    "raw_df.set_index('Time', inplace=True)\n",
    "raw_df.index = pd.to_datetime(raw_df.index, infer_datetime_format=True)\n",
    "raw_df = raw_df.sort_index()\n",
    "\n",
    "# Remove outliers: data points greater than 3 standard deviations from each column's mean\n",
    "print(raw_df.sub(raw_df.mean()).div(raw_df.std()).abs().gt(3).sum().sum()/(len(raw_df)*len(raw_df.columns)))\n",
    "raw_df = raw_df.mask(raw_df.sub(raw_df.mean()).div(raw_df.std()).abs().gt(3))\n",
    "# Remove outliers: data points greater than 200 and less than 0\n",
    "print(raw_df.gt(200).sum().sum()/(len(raw_df)*len(raw_df.columns)))\n",
    "print(raw_df.lt(0).sum().sum()/(len(raw_df)*len(raw_df.columns)))\n",
    "raw_df = raw_df.mask(raw_df.gt(200))\n",
    "raw_df = raw_df.mask(raw_df.lt(0))\n",
    "\n",
    "# Fill missing data with previous values, up to a limit of the timestep\n",
    "raw_df = raw_df.fillna(method='pad', limit=timestep)\n",
    "\n",
    "# Resample to timestep\n",
    "clean_data = raw_df.resample(str(timestep)+'T', label='right').mean()\n",
    "\n",
    "# Forward fill remaining missing values\n",
    "clean_data.fillna(method='pad')\n",
    "\n",
    "# Fill any remaining NaN's with zeros (usually at beginning of file)\n",
    "clean_data.fillna(0, inplace=True)\n",
    "\n",
    "# Save data to clean csv file\n",
    "clean_data = clean_data['2018-08-09':'2019-08-09']\n",
    "clean_data.to_csv('data/clean-berkeley.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Infer activity states from clean data\n",
    "\n",
    "This step uses the `state_classification.py` file in the `src` folder. An output of 0 means the file ran correctly."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "os.system('python src/state_classification.py data/clean-berkeley.csv data/classified-berkeley.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Visualize activity states in context of clean data\n",
    "\n",
    "### Time-series data for selected occupant"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 720x360 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Load cleansed time-series sensor data and classified activity states\n",
    "clean = pd.read_csv('data/clean-berkeley.csv', index_col=0).values\n",
    "classified = pd.read_csv('data/classified-berkeley.csv', index_col=0).values\n",
    "dates = pd.read_csv('data/classified-berkeley.csv', index_col=0).index\n",
    "\n",
    "# Set variables for plotting\n",
    "day_range = (18, 22)\n",
    "occupant = 15\n",
    "\n",
    "# Set up plot\n",
    "fig, ax1 = plt.subplots(figsize=(10,5))\n",
    "# plt.rcParams.update({'font.size': 15})\n",
    "ax1.set_xlabel('Time Step')\n",
    "# Plot sensor data\n",
    "color = 'k'\n",
    "ax1.set_ylabel('Power (W)', color=color)\n",
    "ax1.plot(clean[day_range[0]*timesteps:day_range[1]*timesteps, occupant-1], color=color, linestyle='dotted')\n",
    "ax1.tick_params(axis='y', labelcolor=color)\n",
    "# Plot activity states\n",
    "ax2 = ax1.twinx()\n",
    "color = 'c'\n",
    "ax2.set_ylabel('State', color=color)\n",
    "x = classified[day_range[0]*timesteps:day_range[1]*timesteps, occupant-1]\n",
    "plt.yticks(np.arange(min(x), max(x)+1, 1.0))\n",
    "ax2.plot(x, color=color, alpha=0.7)\n",
    "ax2.tick_params(axis='y', labelcolor=color)\n",
    "# Plot days as gray background bands\n",
    "for i in range(day_range[1]-day_range[0]):\n",
    "    if i%2 == 0:\n",
    "        plt.axvspan(i*96, i*96+96, facecolor='k', alpha=0.1)\n",
    "# Display plot\n",
    "fig.tight_layout() \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Heatmap showing all occupants' data over the selected day"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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7L32ilvn6UJLHd/e854q3yPAKCu8eua93Z/PCu++qqsO7+/yR+9urFjJWLr06SVVdIZPVI6+V6Xcs74R58jgW9bmyJVX1I0l+apOmzyd5zJzTWXeLGis3y/CqBubJy2lhnyvdfWFVfTzJjTdpPraqbtzds9yQeM8pbe+fIe6esCLny8xrl8AqjBXz2uWwCmNlq8xrAVhFVliC+bphhpd1/peR+5p2cuQ2I/fFLuvuc7v7E939po07qMZ0lyltnxy5LxZg447hl2Xzk/C/3d2j3eHH8qqq6ye58kDze+aZC/+/vfsOt+6q6gX8G5CEDoEIoSmhiUqXDoYeiohAFFQU4aqELk0vUqVeuYrABUQBabGCSkcgIgQiIr0jUiSUQGiBQBLSx/1jnyjEs9Z3yt7r7H3O+z7PeQh7zD3n/PKtnD32XGPNuRL+ZST2oNreWRsPzPD3kLdto1+25ytJ7pfkOjtUVHD1kdhUefL+md1gYtxOXys/pLu/3d2fM7+aWQAAIABJREFU6O6juvvMOXd/y5GYPHnflupaWU9VXTrDRbi/0d3fnnI+e9hOXys3HHj9pMx3J2y2b6evlXOM5coP2WbfDx6JyZXPZUnXy+S1S2hJr5UfIq9dDqtwraxHXgvAqlKwBNMa+8L6qTmP9ZmR2La3qGZ3WLvhfOeRJh+Zai4s1O8mufk6r384yROnnQo7aKhY9cwkH51yIqyEVycZ2nntWkkesJVOq+pqGT+C8sVb6ZdtOS7JI5Jcubtf2N1n7dA85MnLb1mulUms7U557YHwaZn/09a7ySpdKy/J+gXdz1972p7FWpZrZShP/nB3nz3pTBiyLNfKOf5yJHZEVV13K51W1a8lucVA+FtJXrOVftm8ba6XyWv3kFVYW5XXLocJrhV5LQAryZFwMK0rjMS+NOexjhuJrXeGMXvTz2d4AePUJHbeWXFVdZ0kT14ndFqSe3X36RNPiZ1z1YHXjxvbJr6qrp3kTpkdJ/dTSS6Z5MJJvp/k65ktbL0ryRu7e88fUbBbdPdJVfX8zAoe1/Psqvp8d79po31W1eWSvDHJhQaavKa7531EAsPeneSPkryyu8/Y6clEnrzMlu1amcrDRmLv7u7vTzaT1bFS10pVPTDJHdcJfSbDn3/Mx7JdK0N58ueG3lBV+yc5NLNr6LpJrpbk4knOn9nOTF9O8skk70jy2u7+8jwnvIcs27VyjqOTvDfr7851QJLXVdXNu/vzG+2wqm6Z5EUjTZ6yl4/32gHbWS+T1+4tq7C2Kq9dDgu7VuS1AKwyBUswrYNHYl+d50DdfVpVnZjkYuuEx85KZo9Ye6rjcSNN3tDdp041H+avqs6f2ZOfB6wTfnx3f3ziKbGzrjLw+v9Y4Kyq/TI78/4hSa458L4Lr/1cKbNFkadW1YeTPC3JP3R3b3vG7LSnJLlH1l9w3z/J66vqCUn+eF83T6rqdpkdTTmUC309yW9vY65sUndvaZesBRq6Nk7q7pPmPNbXRmLy5HNZwmtl4arq4CRHjDT5+6nmskpW6VpZ2/Hvj9YJnZXk17v7lImntKcs4bWymTz5Epnd+L1vkksPvO9iaz9XT3L3JM+pqn9M8iTF2ZuzhNdKkqS7u6oelNmDG+t93758kvdV1W919+iuSGvfvR6U2e+k/QeaHZPkeduYMpswh/Uyee0esQprq/La5bDIa0VeC8CqcyQcTGusYGnsC+ZWDfV5iQWMxep5QJLrj8RfMtVEWJinZ/2tyI9J8scTz4WdN/QU11d+8P9U1a2SfCyzc++HipWGXCfJ3yV5e1VdedMzZKl09/eS/FySEweanDezArXPVdWTqurQqrp0Ve1fVQdW1U9V1f2r6p1J3pLhPOi7SX6+u+f9tDGrZej6mDJHTuTJzDw3yQUHYt9P8rcTzoU5WysO+Mus/3f89O7+t4mnxA6qqvMm+bGB8Lnz5Ack+WySx2e4WGk958ksp3pvVf1ZVV14K3NluawVn903ydCDGgcleXVVva+qHlpV166qg9Zy5UtW1Q2r6jGZHRH27AwXK30yyd2W4Bi8vWS762Xy2r1jFdZW5bXLYSHXirwWgN3ADkswrbGCpe8uYLzvDbx+8QWMxQqpqh/LrJhlyIc3c8wPy6eqbpv1dyv5XpJ7d/fZE0+JnTf0GfStc/6hqh6X5EnZflH7LZJ8oKru2d3/uM2+2EHd/fGqOjTJ65IcMtDsckmesPazWZ9Jctfu/uTWZsguMlbQNm9DOXIiT97zqupume2IMuSF3f2tkTjL7/ez/g2jD2WWB7G3HJTh9dFvJclagdHLkxy+zbEqyf2SHFpVd+nuz26zP3ZYdx9ZVacmeVmSCww0u37Gb1KPeWOSX+3uoQcImLM5rZfJa/eAVVhbldcuhwVfK/JaAFaeHZZgWusdz5bMnsYa+4K5VUN9XqCqzreA8VgBVXVAklcmuchIs0dNNB0WoKountmCaa0Tfnh3f37aGbEkfmTg9dOSpKqendkRYPPKDy+W5LVV9Utz6o8d0t0fS3LdJM9PMq9ix5MyWzy7lmIlqmr/DN/kW8SNnZMzvBuCGzt7WFVdMcmLR5p8J8n/mWg6LEBV3STJo9cJnZbkXt19xsRTYucN5chJctpasdKbs/1ipR/0U0mOqar1dsNlxXT3KzPLlf9pjt1+MbNCpZ9TrDSdeayXyWv3hlVYW5XXLodFXivyWgB2CzsswbSGioRO6e6hL5fbcfJI7PxZu0nN3rF2XvZLk9xopNkru/uoiabEYvxZZjuenNvru3tssYJdau2//aHt4E+tqscneehIFx9L8r4kxyc5NbMjMK6a2U5KB4y8b78kf1lV3+rut2564iyN7v5OkgetFbY9LLPdAc67xe6OSXJ4d39zXvNj5Y0V0p8078G6u6vqlCQXWid8/nmPx2qoqgOTvCHjN/ce091fn2hKzNla4clfZP3Pr8d29ycmnhLL4aCR2BlJXpXkZgPxM5P8S2ZHen01s9z3Mpkdk7yvHXUuneQtVXWj7j5uUzNm6XT3fyS5XVXdMrMbz3fYRnfPy+xBozPnMTc2Zo7rZfLaXW4V1lbltcthkdeKvBaA3UTBEkxr6KbuohYhxs63H7vBzO71jCT3HIkfl+SBE82FBaiqX0tyj3VC30xy34mnw/K4YIaLS34myY3Xef3MJC9M8oyhXbmq6qJJfjXJkzP8dPp+Sf6uqq7V3V/a1KxZKlV1tcx+j9w5Wy9WSpJDk3y8ql6U5I+6exFPGrNaxvLSqfNkOfIeVFUXTPL6zHY9GfKmzIrCWV3PTnLldV5/Z5JnTTwXlsdFR2KPyixXPrdvZ7Yz6cu7+4T13lhVl8/sgYCHJtl/oP/LJXlVVd1Mccrqq6pbJ7lPkptus6sHJ7lVVT0ryUsd5z6Zea2XyWt3v6VeW5XXLpVFXivyWgB2DUfCwbSGnrJZ1PacY/0OLZixS1XVk5M8YqTJGZltOe7s8hW1dib68wbC9+vur005H5bK2FOeN83/zAk/m+S63f2gsSMEu/u73f2nme229PqRMQ5M8pKNTpblUlWXqaqXJPlEkkcm+dE5dHtwkscl+XRV3WsO/bHaxn5HTZ0ny5H3mKo6f5JXZ/2ihHN8Ocl9FrQrLhOoqrsk+c11Qt9Lcm8FAXva2GfQer8X3pjkqt39rKFipSTp7i939+8muVaSz4yMccM4kn2lVdX1q+roJP+c5F4ZL4LbqKsn+fMk76+qG86hP0bMeb1MXruLLfvaqrx2eSzyWpHXArDb2GEJpjX0RXFsJ6TtGOvXf/97SFU9JbMbw2Me0t3vmGI+zF9VnSfJkUkutk74L7r7VRNPieWymScr35fkZzdzXFd3f6eq7pZZUdKvDzS7bVXdubvHCptYMlV1iySvyKzAaMwXMzvq7atJTshs6/mDM9u968dH3ndwkiOr6kZJHmZ3gT1r7GbK1HmyHHkPqaoLJHltksNGmp2S5OcdmbG6qurgJC8aCD+su4+dcDosn83kyS/O7EGQDX82dfenqupmSY7K7Ki49Ty6ql7S3V/dxFxYAlX1kCR/nH0XhnwkyfuTfD3JyUkumeSymR2xfamR9103yTFVdUR3v3z7M+bcFrBeJq/dpZZ9bVVeuzwWea3IawHYjSStMK2hL5DbOVZlzNh/46cvaEyWyNpZ2c9M8rB9NH16d79ggimxOI/MbLHz3L6U5CETz4Xls9EnK4/PbPFqw8VK5+jus6rqvpk9DXy9gWaPy/hOTCyRqrpTktdkOJ/ozIqZ/qC7PzrSzxUzOw7l/hl+4vhBSS5VVb/kSc89aezmzdR5shx5j1g71vQNmR1TOeTMJL/U3R+aZlYsyIszKw44t9d1tx0g2Wie/LZssljpHN39jao6PMmHs/7uOxdK8vAk/3uzfbNzquoPkvzeSJNTMjuy50+6+ysDfVRmu2w9JsnPD/RzQJKXVdVFuntoR2U2aYHrZfLaXWYV1lbltcthomtFXgvAruNIOJjW0BfFRRUPjvV72oLGZElU1X6Z7Xayry9JL+juR08wJRakqq6V5KnrhDrJ/+ruEyeeEqvrXt19/Fbf3N2nJ7lnZgth67lhVQ0VM7FEqur6SV6Z4Vzi+CQ36+5fGStWSpLu/nx3PyzJ1TJ7snzI3ZM8bSvzZeWN3UyZOk+WI+8Ba08mvz3jN3XOzuxIhTdMMysWoarun+RO64S+keSIiafD6vp2kl/ZSrHSOdaOWR77bv6bVbWZ3Z7YQVX1wIwXK707s6MDHztUrJQkPfOe7r5Lkltn9rtpyLOr6o5bmzE/aMHrZfLaXWQV1lbltcthimtFXgvAbqVgCaa1TAVLnrLZxarqQklel+Q++2j6oiQPWPiEWJiqOl+Sv8r6Rxk8t7v/eeIpsZw28jv/Hd391u0O1N2fTvJ3I01+YbtjsFhVtX+SlyW54ECTTyW5QXe/ezP9dvcXktw8ydgRlb9XVTfcTL/sCst0Y0eOvMtV1VWS/GuSnx5pdnZmRd9/Pc2sWISq+vHMjmpaz/26+2tTzoeltZHf+8+Z0/E5f5HZMbrruUSSW85hDBasqq6U5BkjTV6V5FZjhUrr6e63J7l+Zrn2es6b5CVVdZHN9MsPm2C9TF67S6zC2qq8djlMca3IawHYzRQswbROHnh96Ibgdl1oJOYpm12qqi6T5J1J9vXk3Z9k9oXG0Tur7Q+SXGOd1z+V8Sc+2Vs2slA5tui+Wf9vJHa7OY7DYjw4s6P91nNikrt095e30nF3fz/JryZ5z0CTSuKoi73nlJHYWD67JWtb9V9gICxH3sWq6qaZ7XpxpZFmZyX5te4+cppZsQhrT7n/Rdb/rn1kd7964imxvPaVJ5+e5DnzGKi7z0zy/JEm8uTV8KwM5xEfzOwzZEv5RHd/McnPJTlhoMmlkzxhK30z2XqZvHYXWIW1VXntcpjiWpHXArDbKViCaQ0tOJynqhZRtDT01NUpawtl7DJrR4O9J+NP1iTJ/+3uBytWWm1Vdeusv9XwmUl+fa0wAJLhgtlznJ5knrtxvS+zwpb1XGttZzCW0NqC90NGmjxkbRetLevuUzPbaWtoMf8GVXXz7YzBaunuM5J8byB84QUMeeHMiuPW4xjVXaqqfjmzz7ofGWl2apJf7O6/mWZWLNDjk6y3Y98Xk/z2xHNhue0rT35Pdw+t5WzFP43E7DK55NZ2V7rzQPiMJPfY7vfw7v5ckt8caXK/td082ISp1svktatvFdZW5bXLYcJrRV4LwK6mYAmm9a2R2EUXMN5QwZItQnehqvr5JO9K8qMjzTrJI7rbzjsrrqoOTPLyrL8w9bTuft/EU2KJdffpSU4aafKeeRa4dffZmT3pt579M/4EIDvrVkmuOBD7ZGZHUG5bdx+X5LkjTcZu0rA7DeXJU+bIiTx516mZJyX5myTnH2l6YpI7dPdrppkZi1JVN07y2HVCneQ+3e0GLj9obJ0mSY6e83gfyXBefrU5j8X83SfDxSEvWSs22ra1z6J/GwhfJMk95jHOXrED62Xy2hW17Gur8trlMdW1Iq8FYC9QsATT+uZI7FILGO/ggdd9Yd1lquqRSV6d8ae1zshs151nTTMrFuxPk1x+ndffn+SpE8+F1TD2GTSXhfVz+dRI7McWMB7zceuR2AvWitHm5VmZLbKt57A5jsNqGPodNWWOnMiTd5WqOn9mN3T2dXzO8Ulu0d3vWPysWKS1XUf+Isl51wk/p7vfPvGUWH5jOXIy5zy5u89K8tmB8KXWfm+xvMZy5bHj/rbimSMxufIG7dB6mbx2BS372qq8dnlMda3IawHYKxQswbS+MBK79DwHWvsSM/Tkji+su0RV7VdVL0zyjIz/Tj8xyR27+y+nmRkT+OWB16+f5Iyq6q3+JLnFQN9X2Md7D1nEH5S5OX4ktq8bNVvx7ZHYIp4sZT5uNBJ78zwH6u6vJfnQQPgyVTX2pCK7z1CefPGqOmDOY7mxswdU1cGZ7YzyS/to+okkN+7ujyx8UkzhBkmuMhB76HZy5LU8eci9R9537Pz/mMzR1zJcQJ1MnyeP7ZbCDqqq/TJ87M9Xuvujcx7yn5KcNRAby9nJjq+XyWtXyCqsrcprl8MOXCvyWgD2BAVLMK3/HImtt1PKdoz1N1Y4xYqoqoskeVOS++6j6ReT3Ky7/3nxswKW2Nhn0NhxcVs1diPmfAsYj/kYWgw7sbs/vYDxjhmJORZlb5EnMzdV9RNJ3pN939B9W2Z5sr932KO6+9QkXx1pIk/mHJdLcoGB2NyPZO/u7yT5+ED4SlW1/7zH3C2WYL1MXrsiluBa2Sd57XJYhWsFAFaVgiWY1thW4kM3CLfqqiOxT8x5LCZWVZfK7Mma2+6j6Qcze7LG3zkwdPREMr6N9VaNHWdxygLGYz4OHHj96wsab+yp30ssaEyWkzyZuaiqGyX5lyRX2EfTlye5Q3efuPhZAUtOnsxGDOXJyc7kyhdf0JgrbUnWy+S1K2BJrpVR8trlsArXCgCsMgVLMK3PJjl5IDbvXQR+fCQmaV5hVXWFJO/K8Fbk53htkpt399jTosDe8cmR2GUWMN7YAvp3FzAe8zF0DMmi/s6+NRJzdODeMnZswVR58mkZv8HEkquqwzJ7uvygkWad5PHdfZ/uPmOamQFLTp7MRowd1ydXXgJLtF4mr11yS3StDJLXLodVuFYAYNUpWIIJdfdZST48EL7enIe7wdA0omBpZVXVIZk90bGvJ7KeneTw7h4qkAP2nveMxH5qAeNdaiT2pQWMx3ycNvD6InYXSMZvtJy6oDFZTh9OcuZAbKo8+d/X8nVWUFXdPsnrklxwpNlpSX61u586zayAFbEsefLx3T30WcjOG8qTE7nyjluy9TJ57RJbsmtlXfLa5bAK1woA7AYKlmB67x14/QpVdek5jjN0rvVHu/s7cxyHiVTV5TP7knTISLOzkzy0ux/e3WdPMS9gNXT3sUmOHwhfq6ouNuchrz/w+mkZP3aDnTX0FPchVXXeBYx3yS3MhV2ou09N8rGB8I3nNU5VXS7J5QbC75jXOExr7Qn012b8mKUTkhzW3X8zzayAFfLukdih8xyoqi6e5EoDYQ+XLbex3HTex3ydYyxXPmFBY66cZVsvk9cur2W7VtYjr10Oq3CtAMBuoWAJpnfUSOwO8xigqq6c4cWSf5rHGExrbVHzLRk/s/zUJL/Y3c+ZZlbspO6uRf1keGHrC/t477ET/itga4Y+A86b5PbzGqSqLpLkGgPhj3nSc6kNHRtwviTXWcB4Q4VtY3Nh9xrKk6+29nTrPNxxJCZPXkFVdb0kr8rs99SQLyS5WXcfM82s2CndffSC8+QhLx953yFT/fnZmu7+jyRfHAj/9JwfLrtJkqFr6UNzHIf5+2JGds2pqv3mOVhVnS/D36m+2t2nzHO8VbXE62Xy2iWzxNfKf5HXLodluVbktQDsFQqWYHpHJ/n+QOxucxrj8JGYL6wrZm3R6zUZ34r+xCS37+5XTzMrYEW9biT2G3Mc5y6ZFUGt581zHIf5++BI7C7zHKiqLpTkZwbC34mduPaiN43E5pUnD/VzejyJvnLWnnz+x4wfxfOJzG7qfGqaWQEr6vUDr58nyX3mOM7Yeo08eYmtHdf30YHwgUluPuchD83wcVDvn/NYK2nJ18vktUtkya+VJPLaZbEK1woA7DYKlmBia9sCD31pvdPal5Mtq6pKcsRA+KtJ3rad/tkRz8j4wtc3k9yqu9850XyA1fWmJN8diN2uqq49p3EeMhIbuhnEchjLE36zqvaf41i/keSAgdjRtlTfk96V5GsDsfut5blbVlVXyPCOpq/r7pO20z/TqqoDkvxDkkuNNHtfkpt393HTzApYYa8YiT24qsaO5tmQqjooyT0Hwt9N4jv98hvLlR8w57HG+vvnOY+1qpZ5vUxeu1yW+VqR1y6Xpb5WAGA3UrAEO+PFA6+fN8kTt9n3fTJ8HNxL154IY0VU1R2TPHSkyfeS3La7bR0P7FN3n5zkyIFwJfmj7Y5RVT+X5IYD4Y9193u3OwYLdVSSEwZil03y4HkMsra70mNGmvzNPMZhtazlqUO/o66W5Fe3OcSTM/wd+IXb7JvpPSXDnzdJ8rEkh3X30O80gP+ydrTOxwbCl0vyyDkM8+gkFxiIvby7z5jDGCzW347EDl87zmnb1voZ2o3r7CSvnMc4q2zZ18vktctj2a+VNfLaJbAi1woA7DoKlmBnvDnJsQOx36iq222l07Xdmf5wIHxmkj/fSr/sjKq6aJIXjTQ5K8kvdfdHJpoSsDs8J7PPhPUcVlW/vdWOq+qSGf+see5W+2YaazfKxv4On1RVPzmHoV6S5NIDsS9ntgU7e9OLMrsRt54/rqrLbqXTtcXnew2EP5PkrVvpl51RVTfMePHA8Unu1N0nTjQlYHd45kjsCdspRqmqWyZ5+EC4kzxvq30zne7+QJL3DITPk+TFVTV0jNuGVNWBSf56pMk/dPdXtzPGqluh9TJ57Q5bhWtFXrscVuFaAYDdSsES7IC1I06eMhCuJH9dVWPnJP/PN82S6tck+ZGBJi/s7s9vpk923GMze5JzMN7dQ8cLAqyruz+T8Scun1lVv7DZfqvqYpl9Dh080ORzSV6+2X7ZEX+c4aMDL5LkDVV1xa10XDNPT3KPkWZP6+7Tt9I/q2/td9RfDYQvleQ1VXWRzfRZVddY63Po6I3Hdndvpk923HMy2512PWcl+cXu/tKE8wF2hyMzvMvSAUneWFVX22yna59Df5vhddi/6u5Pb7ZfdswTR2LXTvJ3VTW0k9aoqrpwkr9P8uMDTc7MbGedvW4l1svktUthFa4Vee1yWIVrBQB2JQVLsHNenuTfB2IHJXl7Vd14Ix1V1WUyO79+6Gm/7yV50qZnyI5Ze8pqbJeTYzKHo5uAPesJSb4yEDtvkldU1WOqakO5YlX9aGafQzcdafZIRSirobu/nuRxI02ulOTda8f/bdjaYvwrkjxqpNl74wgDZjcCTxuI3SDJW6tqaIeuH1JVN03ytiQXH2jyb939d5ueITumqu6W5EYjTf5vd79rqvkAu8faw2UPyuwG8XoOTvKvm8mBqurQJEdnuKj/5IznRiyZ7n5zkleNNPnZJO/c7K6kVXWVJO9OcpuRZv+vuz++mX53mxVcL3ti5LU7YhWuFXntcliFawUAdjMFS7BDuvusJP8rwwthl0pyTFX9YVWtu2tSVZ2vqu6f5ONJrj8y3EPWbj6yOh6U5Pwj8UOTnFVVveCfo6f54wJT6u5vJblnhj+DzpvkaUk+VFV3rar91mtUVQdW1e8k+WSGi2aT2VPjr93OnJnc85K8YSR+cJLXV9Wbquo2Y8VtVXWJqnpEkv9McveRPk9M8itrNwvZw7r7PzN7wnXIDZN8vKruV1UHrNegqi5ZVc9I8s4klxzo55Qkv7mtybITfmcf8cdMkCN3VT1xij8sMK3uPibjO+hcIrMc6DVrx/isq6oOqaoXJHlHZg+lDXl4dw89SMD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      "text/plain": [
       "<Figure size 2700x1800 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Set variables for plotting\n",
    "start = '2019-01-22 00:00:00'\n",
    "end =   '2019-01-22 24:00:00'\n",
    "classified = pd.read_csv('data/clean-berkeley.csv', index_col=0)\n",
    "heatdf = classified.loc[start:end]\n",
    "heatdf = heatdf.drop('Occupant 19', axis=1)\n",
    "#heatdf = (heatdf - heatdf.min()) / (heatdf.max() - heatdf.min())\n",
    "#heatdf = heatdf.fillna(0.0)\n",
    "heatdf = heatdf.T\n",
    "x_axis_labels = []\n",
    "for i in range(0,97):\n",
    "    if i % 8 == 0:\n",
    "        x_axis_labels.append(str(int(i/4)))\n",
    "    else:\n",
    "        x_axis_labels.append('')\n",
    "fig = plt.figure(figsize=(9,6), dpi=300)\n",
    "ax = fig.add_subplot(1,1,1)  \n",
    "im = plt.imshow(heatdf, cmap=\"Blues\", aspect='auto', origin='upper')\n",
    "ax.set_ylabel('Occupant')\n",
    "ax.set_yticks(range(18))\n",
    "ax.set_yticklabels(range(1,19))\n",
    "ax.set_xlabel('Hour')\n",
    "ax.set_xticks(range(0,97))\n",
    "ax.set_xticklabels(x_axis_labels)\n",
    "ax.tick_params(bottom=False, left=False)\n",
    "fig.colorbar(im, label='Power (W)')\n",
    "for i in range(18):\n",
    "    plt.axhline(y=i+0.5, color='lightgray', linewidth=0.5)\n",
    "plt.savefig('heatmap-power.tiff', dpi=300, bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Heatmap showing all occupants' activity states over the selected day"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 2700x1800 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Set variables for plotting\n",
    "start = '2019-01-22 00:00:00'\n",
    "end =   '2019-01-22 24:00:00'\n",
    "classified = pd.read_csv('data/classified-berkeley.csv', index_col=0)\n",
    "heatdf = classified.loc[start:end]\n",
    "heatdf = heatdf.drop('Occupant 19', axis=1)\n",
    "#heatdf = (heatdf - heatdf.min()) / (heatdf.max() - heatdf.min())\n",
    "#heatdf = heatdf.fillna(0.0)\n",
    "heatdf = heatdf.T\n",
    "fig = plt.figure(figsize=(9,6), dpi=300)\n",
    "ax = fig.add_subplot(1,1,1)\n",
    "ax.set_ylabel('Occupant')\n",
    "ax.set_yticks(range(18))\n",
    "ax.set_yticklabels(range(1,19))\n",
    "im = plt.imshow(heatdf, cmap=plt.cm.get_cmap('YlOrRd', 3), aspect='auto', origin='upper', norm=None)\n",
    "ax.set_xlabel('Hour')\n",
    "ax.set_xticks(range(0,97))\n",
    "ax.set_xticklabels(x_axis_labels)\n",
    "ax.tick_params(bottom=False, left=False)\n",
    "\n",
    "# We must be sure to specify the ticks matching our target names\n",
    "plt.colorbar(ticks=[1,2,3], label='Activity state')\n",
    "\n",
    "for i in range(18):\n",
    "    plt.axhline(y=i+0.5, color='lightgray', linewidth=0.5)\n",
    "\n",
    "# Set the clim so that labels are centered on each block\n",
    "plt.clim(0.5, 3.5)\n",
    "\n",
    "#fig.colorbar(im, label='Activity state')\n",
    "plt.savefig('heatmap-states.tiff', dpi=300, bbox_inches='tight')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}