{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "e5ecb4a9-89e2-4ef1-9ebf-51aff87ad874",
   "metadata": {},
   "source": [
    "# Vorlage Wochenaufgabe 5\n",
    "\n",
    "Das nachfolgende Code-Fragement lädt Stromdaten vom Server `datascience.hs-bochum.de` und extrahiert\n",
    "zwei Series Objekte `solarStrom` und `stromBedarf`. Mit diesen beiden Series Variablen lassen sich die\n",
    "Aufgaben auf dem Wochenaufgaben-Blatt bearbeiten."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "b1a50521-4057-4496-938e-7981a48e497c",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "\n",
    "url = 'https://datascience.hs-bochum.de/data/StromDE.csv'\n",
    "data = pd.read_csv(url)\n",
    "data.index = pd.to_datetime(data['Datum'])\n",
    "\n",
    "# Extrahieren der Messwerte fuer produzierten Solarstrom\n",
    "solarStrom = data['Solarstrom']\n",
    "\n",
    "# Extrahieren der Messwerte fuer den Gesamtstrom Bedarf\n",
    "stromBedarf = data['Verbrauch']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4e7f8e52-2576-457d-855d-10c537c1486c",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.11.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
