{
 "cells": [
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   "cell_type": "code",
   "execution_count": null,
   "id": "37ac6be2-a15f-40db-ba98-7f4559cf5749",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [
    "df = pd.read_pickle('../echo-dot-activity.pickel')\n",
    "\n",
    "print(\"ip/ip.dst\" in df.columns)\n",
    "\n",
    "df['Activity'] = pd.Series(False, index=df.index)\n",
    "\n",
    "df.loc[2330 - 12198, 'Activity'] = True  # music listening\n",
    "df.loc[12744 - 13396, 'Activity'] = True  # announcement\n",
    "df.loc[13548 - 20533, 'Activity'] = True  # key exchange? maybe not activity...\n",
    "df.loc[20556 - 26757, 'Activity'] = True  # music listening\n",
    "df.loc[26813 - 26825, 'Activity'] = True  # announcement\n",
    "df.loc[26918 - 26936, 'Activity'] = True  # volume adjustement \n",
    "\n",
    "df.to_pickle('../echo-dot-activity.pickel')\n"
   ],
   "metadata": {
    "collapsed": false
   },
   "id": "fe1e40dd56e78b5"
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [
    "df = pd.read_pickle(\"../echo-dot-attack.pickel\")\n",
    "\n",
    "df[\"Attack\"] = pd.Series(False, index=df.index, dtype=int)\n",
    "\n",
    "print(\"ip/ip.dst\" in df.columns)\n",
    "\n",
    "df.loc[49 - 262255, \"Attack\"] = 2\n",
    "df.loc[262258 - 622810, \"Attack\"] = 2\n",
    "df.loc[624338 - 624363, \"Attack\"] = 1\n",
    "df.loc[624541 - 627011, \"Attack\"] = 3\n",
    "\n",
    "df.to_pickle(\"../echo-dot-attack.pickel\")"
   ],
   "metadata": {
    "collapsed": false
   },
   "id": "d6a43f9140b4e1f9"
  }
 ],
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