{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "\n",
    "url = \"https://raw.githubusercontent.com/AaltoSciComp/python-for-scicomp/master/resources/data/scripts/weather_tapiola.csv\"\n",
    "weather = pd.read_csv(url,comment='#')\n",
    "\n",
    "# define the start and end time for the plot \n",
    "start_date=pd.to_datetime('01/06/2021', dayfirst=True)\n",
    "end_date=pd.to_datetime('01/10/2021', dayfirst=True)\n",
    "\n",
    "# The date format in the file is in a day-first format, which matplotlib does nto understand.\n",
    "# so we need to convert it.\n",
    "weather['Local time'] = pd.to_datetime(weather['Local time'], dayfirst=True)\n",
    "# select the data\n",
    "weather = weather[weather['Local time'].between(start_date,end_date)]\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, we have the data loaded, and adapted to our needs. So lets get plotting"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "# start the figure.\n",
    "fig, ax = plt.subplots()\n",
    "ax.plot(weather['Local time'], weather['T'])\n",
    "# label the axes\n",
    "ax.set_xlabel(\"Date of observation\")\n",
    "ax.set_ylabel(\"Temperature in Celsius\")\n",
    "ax.set_title(\"Temperature Observations\")\n",
    "# adjust the date labels, so that they look nicer\n",
    "fig.autofmt_xdate()\n",
    "# save the figure\n",
    "fig.savefig('weather.png')"
   ]
  },
  {
   "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": "3.8.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
