Exploring_the_weather_in_Athens.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "fb9a3362",
   "metadata": {},
   "source": [
    "## Exploring the weather in Athens\n",
    "\n",
    "---\n",
    "\n",
    "> <h4>Konstantina Saketou</h4><br />\n",
    "> Assignment in Applied Machine Learning <br />\n",
    "> Management Science and Technology Department <br />\n",
    "> Athens University of Economics and Business"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "05403a9a",
   "metadata": {},
   "source": [
    "### Q1: Obtain and edit the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "7d48b6f7",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "%matplotlib inline\n",
    "\n",
    "data_file = \"weatherdata_hellinikon.csv\"\n",
    "supplementary_data_file = \"weatherdata_athens.csv\""
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b50189f5",
   "metadata": {},
   "source": [
    "* First of all we import the data from the csv files and also all the necessary libraries. \n",
    "* We save the data of the Hellinikon station at the DataFrame `data_hellinikon`. We also save the supplementary data of Athens' weather at the `data_supl` DataFrame.\n",
    "* The supplementary data don't have column names so we add our own. The columns C1-C9 contain data which we will not use, so we delete them from the dataframe."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "3f01b6d8",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "data_hellinikon = pd.read_csv(data_file, parse_dates=['DATE'], skipinitialspace = True)\n",
    "data_supl = pd.read_csv(supplementary_data_file, parse_dates=[0], \n",
    "                        names=['DATE', 'TEMP_AVG', 'TMAX', 'TMIN', 'C1', 'C2', 'C3', 'C4', 'C5', \n",
    "                               'C6', 'RAIN', 'C7', 'C8', 'C9'], skipinitialspace = True)\n",
    "data_supl.drop(['C1', 'C2', 'C3', 'C4', 'C5', 'C6', 'C7', 'C8', 'C9'], inplace=True, axis=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "286e5982",
   "metadata": {},
   "source": [
    "* The data of the Hellinikon station are in Farhenheit (F) so we convert them into Celcius (C)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "8f9e4cb0",
   "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>STATION</th>\n",
       "      <th>NAME</th>\n",
       "      <th>DATE</th>\n",
       "      <th>PRCP</th>\n",
       "      <th>TAVG</th>\n",
       "      <th>TAVG_CELCIUS</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>1955-01-01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>1955-01-02</td>\n",
       "      <td>0.08</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>1955-01-03</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>1955-01-04</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>1955-01-05</td>\n",
       "      <td>0.00</td>\n",
       "      <td>NaN</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23246</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>2020-12-27</td>\n",
       "      <td>0.00</td>\n",
       "      <td>62.0</td>\n",
       "      <td>16.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23247</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>2020-12-28</td>\n",
       "      <td>0.26</td>\n",
       "      <td>59.0</td>\n",
       "      <td>15.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23248</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>2020-12-29</td>\n",
       "      <td>0.00</td>\n",
       "      <td>61.0</td>\n",
       "      <td>16.111111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23249</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>2020-12-30</td>\n",
       "      <td>0.00</td>\n",
       "      <td>62.0</td>\n",
       "      <td>16.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23250</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>2020-12-31</td>\n",
       "      <td>0.00</td>\n",
       "      <td>60.0</td>\n",
       "      <td>15.555556</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>23251 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           STATION            NAME       DATE  PRCP  TAVG  TAVG_CELCIUS\n",
       "0      GR000016716  HELLINIKON, GR 1955-01-01  0.00   NaN           NaN\n",
       "1      GR000016716  HELLINIKON, GR 1955-01-02  0.08   NaN           NaN\n",
       "2      GR000016716  HELLINIKON, GR 1955-01-03  0.00   NaN           NaN\n",
       "3      GR000016716  HELLINIKON, GR 1955-01-04  0.00   NaN           NaN\n",
       "4      GR000016716  HELLINIKON, GR 1955-01-05  0.00   NaN           NaN\n",
       "...            ...             ...        ...   ...   ...           ...\n",
       "23246  GR000016716  HELLINIKON, GR 2020-12-27  0.00  62.0     16.666667\n",
       "23247  GR000016716  HELLINIKON, GR 2020-12-28  0.26  59.0     15.000000\n",
       "23248  GR000016716  HELLINIKON, GR 2020-12-29  0.00  61.0     16.111111\n",
       "23249  GR000016716  HELLINIKON, GR 2020-12-30  0.00  62.0     16.666667\n",
       "23250  GR000016716  HELLINIKON, GR 2020-12-31  0.00  60.0     15.555556\n",
       "\n",
       "[23251 rows x 6 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_hellinikon['TAVG_CELCIUS'] = (data_hellinikon['TAVG'] - 32)*(5/9)\n",
    "data_hellinikon"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "03a8aeea",
   "metadata": {},
   "source": [
    "* We delete the Farhenheit column and rename the columns."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "a46d3a6a",
   "metadata": {},
   "outputs": [],
   "source": [
    "del data_hellinikon['TAVG']\n",
    "data_hellinikon.columns = ['STATION', 'NAME', 'DATE', 'PRCP', 'TAVG']"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fc7ad529",
   "metadata": {},
   "source": [
    "* Now we convert the precipitation from inches to milimeters."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "062f4c36",
   "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>STATION</th>\n",
       "      <th>NAME</th>\n",
       "      <th>DATE</th>\n",
       "      <th>PRCP</th>\n",
       "      <th>TAVG</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>1955-01-01</td>\n",
       "      <td>0.000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>1955-01-02</td>\n",
       "      <td>2.032</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>1955-01-03</td>\n",
       "      <td>0.000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>1955-01-04</td>\n",
       "      <td>0.000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>1955-01-05</td>\n",
       "      <td>0.000</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23246</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>2020-12-27</td>\n",
       "      <td>0.000</td>\n",
       "      <td>16.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23247</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>2020-12-28</td>\n",
       "      <td>6.604</td>\n",
       "      <td>15.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23248</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>2020-12-29</td>\n",
       "      <td>0.000</td>\n",
       "      <td>16.111111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23249</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>2020-12-30</td>\n",
       "      <td>0.000</td>\n",
       "      <td>16.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23250</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>2020-12-31</td>\n",
       "      <td>0.000</td>\n",
       "      <td>15.555556</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>23251 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           STATION            NAME       DATE   PRCP       TAVG\n",
       "0      GR000016716  HELLINIKON, GR 1955-01-01  0.000        NaN\n",
       "1      GR000016716  HELLINIKON, GR 1955-01-02  2.032        NaN\n",
       "2      GR000016716  HELLINIKON, GR 1955-01-03  0.000        NaN\n",
       "3      GR000016716  HELLINIKON, GR 1955-01-04  0.000        NaN\n",
       "4      GR000016716  HELLINIKON, GR 1955-01-05  0.000        NaN\n",
       "...            ...             ...        ...    ...        ...\n",
       "23246  GR000016716  HELLINIKON, GR 2020-12-27  0.000  16.666667\n",
       "23247  GR000016716  HELLINIKON, GR 2020-12-28  6.604  15.000000\n",
       "23248  GR000016716  HELLINIKON, GR 2020-12-29  0.000  16.111111\n",
       "23249  GR000016716  HELLINIKON, GR 2020-12-30  0.000  16.666667\n",
       "23250  GR000016716  HELLINIKON, GR 2020-12-31  0.000  15.555556\n",
       "\n",
       "[23251 rows x 5 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_hellinikon['PRCP'] = data_hellinikon['PRCP'] * 25.4\n",
    "data_hellinikon"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "106e2cb4",
   "metadata": {},
   "source": [
    "* In order to fill the null values of the `data_hellinikon`, we wil firstly merge this dataframe with the supplemenetary data (`data_supl`). We perform an outer merge using as key the column `DATE`. Then, we sort the data by `DATE`.\n",
    "* Then, we fill the `null` values of the `TAVG` column, which contains the data of our main dataframe, with the column `TEMP_AVG`, which contains the supplementary data.\n",
    "* Finally, we delete the columns that we don't need."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "50771b62",
   "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>STATION</th>\n",
       "      <th>NAME</th>\n",
       "      <th>DATE</th>\n",
       "      <th>PRCP</th>\n",
       "      <th>TAVG</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>1955-01-01</td>\n",
       "      <td>0.000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>1955-01-02</td>\n",
       "      <td>2.032</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>1955-01-03</td>\n",
       "      <td>0.000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>1955-01-04</td>\n",
       "      <td>0.000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>1955-01-05</td>\n",
       "      <td>0.000</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23246</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>2020-12-27</td>\n",
       "      <td>0.000</td>\n",
       "      <td>16.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23247</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>2020-12-28</td>\n",
       "      <td>6.604</td>\n",
       "      <td>15.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23248</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>2020-12-29</td>\n",
       "      <td>0.000</td>\n",
       "      <td>16.111111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23249</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>2020-12-30</td>\n",
       "      <td>0.000</td>\n",
       "      <td>16.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23250</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>2020-12-31</td>\n",
       "      <td>0.000</td>\n",
       "      <td>15.555556</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>24104 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           STATION            NAME       DATE   PRCP       TAVG\n",
       "0      GR000016716  HELLINIKON, GR 1955-01-01  0.000        NaN\n",
       "1      GR000016716  HELLINIKON, GR 1955-01-02  2.032        NaN\n",
       "2      GR000016716  HELLINIKON, GR 1955-01-03  0.000        NaN\n",
       "3      GR000016716  HELLINIKON, GR 1955-01-04  0.000        NaN\n",
       "4      GR000016716  HELLINIKON, GR 1955-01-05  0.000        NaN\n",
       "...            ...             ...        ...    ...        ...\n",
       "23246  GR000016716  HELLINIKON, GR 2020-12-27  0.000  16.666667\n",
       "23247  GR000016716  HELLINIKON, GR 2020-12-28  6.604       15.0\n",
       "23248  GR000016716  HELLINIKON, GR 2020-12-29  0.000  16.111111\n",
       "23249  GR000016716  HELLINIKON, GR 2020-12-30  0.000  16.666667\n",
       "23250  GR000016716  HELLINIKON, GR 2020-12-31  0.000  15.555556\n",
       "\n",
       "[24104 rows x 5 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_hellinikon = data_hellinikon.merge(data_supl, on=['DATE'], how='outer')\n",
    "data_hellinikon = data_hellinikon.sort_values(by='DATE')\n",
    "\n",
    "data_hellinikon['TAVG'] = data_hellinikon['TAVG'].fillna(data_hellinikon['TEMP_AVG'])\n",
    "data_hellinikon['PRCP'] = data_hellinikon['PRCP'].fillna(data_hellinikon['RAIN'])\n",
    "\n",
    "data_hellinikon.drop(['TEMP_AVG', 'TMAX', 'TMIN', 'RAIN'], inplace=True, axis=1)\n",
    "\n",
    "data_hellinikon"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e5446649",
   "metadata": {},
   "source": [
    "* We convert all the values to numeric in order to be able to perform calculations."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "463861ad",
   "metadata": {},
   "outputs": [],
   "source": [
    "data_hellinikon['PRCP'] = pd.to_numeric(data_hellinikon.PRCP, errors='coerce')\n",
    "data_hellinikon['TAVG'] = pd.to_numeric(data_hellinikon.TAVG, errors='coerce')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "3688b1db",
   "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>STATION</th>\n",
       "      <th>NAME</th>\n",
       "      <th>DATE</th>\n",
       "      <th>PRCP</th>\n",
       "      <th>TAVG</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>1955-01-01</td>\n",
       "      <td>0.000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>1955-01-02</td>\n",
       "      <td>2.032</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>1955-01-03</td>\n",
       "      <td>0.000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>1955-01-04</td>\n",
       "      <td>0.000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>1955-01-05</td>\n",
       "      <td>0.000</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23246</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>2020-12-27</td>\n",
       "      <td>0.000</td>\n",
       "      <td>16.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23247</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>2020-12-28</td>\n",
       "      <td>6.604</td>\n",
       "      <td>15.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23248</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>2020-12-29</td>\n",
       "      <td>0.000</td>\n",
       "      <td>16.111111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23249</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>2020-12-30</td>\n",
       "      <td>0.000</td>\n",
       "      <td>16.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23250</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>2020-12-31</td>\n",
       "      <td>0.000</td>\n",
       "      <td>15.555556</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>24104 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           STATION            NAME       DATE   PRCP       TAVG\n",
       "0      GR000016716  HELLINIKON, GR 1955-01-01  0.000        NaN\n",
       "1      GR000016716  HELLINIKON, GR 1955-01-02  2.032        NaN\n",
       "2      GR000016716  HELLINIKON, GR 1955-01-03  0.000        NaN\n",
       "3      GR000016716  HELLINIKON, GR 1955-01-04  0.000        NaN\n",
       "4      GR000016716  HELLINIKON, GR 1955-01-05  0.000        NaN\n",
       "...            ...             ...        ...    ...        ...\n",
       "23246  GR000016716  HELLINIKON, GR 2020-12-27  0.000  16.666667\n",
       "23247  GR000016716  HELLINIKON, GR 2020-12-28  6.604  15.000000\n",
       "23248  GR000016716  HELLINIKON, GR 2020-12-29  0.000  16.111111\n",
       "23249  GR000016716  HELLINIKON, GR 2020-12-30  0.000  16.666667\n",
       "23250  GR000016716  HELLINIKON, GR 2020-12-31  0.000  15.555556\n",
       "\n",
       "[24104 rows x 5 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_hellinikon"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "55c67fd4",
   "metadata": {},
   "source": [
    "* Now our data is ready for analysis."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c706d2d1",
   "metadata": {},
   "source": [
    "### Q2: Deviation of Summer Temperatures"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "692206b9",
   "metadata": {},
   "source": [
    "* Firstly, we gather the data of the baseline period from 1974 to 1999 and calculate the mean temperature of all the observations (`base_mean`)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "3a6437af",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "26.22776380739502"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "baseline = data_hellinikon[((data_hellinikon.DATE.dt.year <= 1999) & (data_hellinikon.DATE.dt.year >= 1974) &\n",
    "                         ((data_hellinikon.DATE.dt.month == 6) | (data_hellinikon.DATE.dt.month == 7) |\n",
    "                          (data_hellinikon.DATE.dt.month == 8)))].copy()\n",
    "base_mean = baseline.TAVG.mean()\n",
    "base_mean"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "df067e29",
   "metadata": {},
   "source": [
    "* In the `summertemps` DataFrame, we save all the data for the summers of all years (1955-2020)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "60be7bc1",
   "metadata": {},
   "outputs": [],
   "source": [
    "summertemps = data_hellinikon[((data_hellinikon.DATE.dt.month == 6) | (data_hellinikon.DATE.dt.month == 7) |\n",
    "                          (data_hellinikon.DATE.dt.month == 8))].copy()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6f9120ba",
   "metadata": {},
   "source": [
    "* In the DataFrame, we will add one column called `DIFF` which contains the deviation of every record from the mean temperature we calculated above.\n",
    "* The column `TAVG` contains the average temperature of each observation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "cbf01f73",
   "metadata": {
    "scrolled": true
   },
   "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>STATION</th>\n",
       "      <th>NAME</th>\n",
       "      <th>DATE</th>\n",
       "      <th>PRCP</th>\n",
       "      <th>TAVG</th>\n",
       "      <th>DIFF</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>151</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>1955-06-01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>152</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>1955-06-02</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>153</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>1955-06-03</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>154</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>1955-06-04</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>1955-06-05</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23124</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>2020-08-27</td>\n",
       "      <td>0.0</td>\n",
       "      <td>28.333333</td>\n",
       "      <td>2.105570</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23125</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>2020-08-28</td>\n",
       "      <td>0.0</td>\n",
       "      <td>29.444444</td>\n",
       "      <td>3.216681</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23126</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>2020-08-29</td>\n",
       "      <td>0.0</td>\n",
       "      <td>29.444444</td>\n",
       "      <td>3.216681</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23127</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>2020-08-30</td>\n",
       "      <td>0.0</td>\n",
       "      <td>27.777778</td>\n",
       "      <td>1.550014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23128</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>2020-08-31</td>\n",
       "      <td>0.0</td>\n",
       "      <td>30.555556</td>\n",
       "      <td>4.327792</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>6071 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           STATION            NAME       DATE  PRCP       TAVG      DIFF\n",
       "151    GR000016716  HELLINIKON, GR 1955-06-01   0.0        NaN       NaN\n",
       "152    GR000016716  HELLINIKON, GR 1955-06-02   0.0        NaN       NaN\n",
       "153    GR000016716  HELLINIKON, GR 1955-06-03   0.0        NaN       NaN\n",
       "154    GR000016716  HELLINIKON, GR 1955-06-04   0.0        NaN       NaN\n",
       "155    GR000016716  HELLINIKON, GR 1955-06-05   0.0        NaN       NaN\n",
       "...            ...             ...        ...   ...        ...       ...\n",
       "23124  GR000016716  HELLINIKON, GR 2020-08-27   0.0  28.333333  2.105570\n",
       "23125  GR000016716  HELLINIKON, GR 2020-08-28   0.0  29.444444  3.216681\n",
       "23126  GR000016716  HELLINIKON, GR 2020-08-29   0.0  29.444444  3.216681\n",
       "23127  GR000016716  HELLINIKON, GR 2020-08-30   0.0  27.777778  1.550014\n",
       "23128  GR000016716  HELLINIKON, GR 2020-08-31   0.0  30.555556  4.327792\n",
       "\n",
       "[6071 rows x 6 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "summertemps['DIFF'] = summertemps['TAVG'] - base_mean\n",
    "summertemps"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "133d72b0",
   "metadata": {},
   "source": [
    "* We add a new column called `YEAR`, which contains the year of each observation.\n",
    "* At the `yearlytemps` DataFrame, we keep the daily mean precipitation and deviation from the baseline mean for every year.\n",
    "* Also, we add a new column called `ROLL`, containing the 10 year rolling average of all years (1955-2020)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "d48979b4",
   "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>PRCP</th>\n",
       "      <th>TAVG</th>\n",
       "      <th>DIFF</th>\n",
       "      <th>ROLL</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>YEAR</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1955</th>\n",
       "      <td>0.207065</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1956</th>\n",
       "      <td>0.030370</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1957</th>\n",
       "      <td>0.044174</td>\n",
       "      <td>28.100358</td>\n",
       "      <td>1.872595</td>\n",
       "      <td>1.872595</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1958</th>\n",
       "      <td>0.033130</td>\n",
       "      <td>27.041063</td>\n",
       "      <td>0.813299</td>\n",
       "      <td>1.342947</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1959</th>\n",
       "      <td>0.204304</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.342947</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016</th>\n",
       "      <td>0.077304</td>\n",
       "      <td>28.176329</td>\n",
       "      <td>1.948565</td>\n",
       "      <td>1.952244</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017</th>\n",
       "      <td>0.470761</td>\n",
       "      <td>28.079348</td>\n",
       "      <td>1.851584</td>\n",
       "      <td>1.937224</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018</th>\n",
       "      <td>0.668130</td>\n",
       "      <td>27.409420</td>\n",
       "      <td>1.181656</td>\n",
       "      <td>1.861137</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019</th>\n",
       "      <td>0.345109</td>\n",
       "      <td>28.013285</td>\n",
       "      <td>1.785521</td>\n",
       "      <td>1.925147</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020</th>\n",
       "      <td>0.465667</td>\n",
       "      <td>27.373188</td>\n",
       "      <td>1.145425</td>\n",
       "      <td>1.866572</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>66 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          PRCP       TAVG      DIFF      ROLL\n",
       "YEAR                                         \n",
       "1955  0.207065        NaN       NaN       NaN\n",
       "1956  0.030370        NaN       NaN       NaN\n",
       "1957  0.044174  28.100358  1.872595  1.872595\n",
       "1958  0.033130  27.041063  0.813299  1.342947\n",
       "1959  0.204304        NaN       NaN  1.342947\n",
       "...        ...        ...       ...       ...\n",
       "2016  0.077304  28.176329  1.948565  1.952244\n",
       "2017  0.470761  28.079348  1.851584  1.937224\n",
       "2018  0.668130  27.409420  1.181656  1.861137\n",
       "2019  0.345109  28.013285  1.785521  1.925147\n",
       "2020  0.465667  27.373188  1.145425  1.866572\n",
       "\n",
       "[66 rows x 4 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "summertemps['YEAR'] = summertemps.DATE.dt.year\n",
    "yearlytemps = summertemps.groupby(['YEAR']).mean()\n",
    "yearlytemps['ROLL'] = yearlytemps.DIFF.rolling(10, min_periods=1).mean()\n",
    "yearlytemps"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fe5a8480",
   "metadata": {},
   "source": [
    "**Graph**\n",
    "* We will use matplotlib to design the graph.   \n",
    "* First, we design the mean deviation of each summer's temperature from the baseline and then the 10year rolling average line."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "d148b576",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Temperature Deviation, C')"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize =[15,10])\n",
    "x = yearlytemps.index\n",
    "y = yearlytemps['DIFF']\n",
    "colors = ['orange' if (x>0) else '#4E92F7' for x in y]\n",
    "p= yearlytemps.DIFF.plot(kind='bar', color=colors)\n",
    "p.plot(p.get_xticks(),yearlytemps.ROLL, color='#3387D6', lw=0.7)\n",
    "p.set_xlabel('Year')\n",
    "p.set_ylabel('Temperature Deviation, C')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "41adc748",
   "metadata": {},
   "source": [
    "#### **Comments**\n",
    "In the above diagram, the maximum deviation from the baseline mean is a bit larger than 3 degrees, approaching 4.  \n",
    "In general, most years the tempreture was over the baseline. However, the period from 1967 to 1992 the majority of the temperatures was below the baseline."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aea53115",
   "metadata": {},
   "source": [
    "### Q3: Evolution of Daily Temperatures"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a42aeba9",
   "metadata": {},
   "source": [
    "* We begin by creating a copy of `data_hellinikon`, in order to edit the data without altering the original ones."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "00860ac4",
   "metadata": {},
   "outputs": [],
   "source": [
    "datatemps = data_hellinikon.copy()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2d10bfb7",
   "metadata": {},
   "source": [
    "* In the new DataFrame, we add a new column called `YEAR` containing the year of every observation and a column `DAY` with the index of the corresponding day of the year.\n",
    "* We add another column called `SMOOTHED` with the 30 day rolling average of the temperature for the period from 1955 to 2020."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "ae74cbdb",
   "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>STATION</th>\n",
       "      <th>NAME</th>\n",
       "      <th>DATE</th>\n",
       "      <th>PRCP</th>\n",
       "      <th>TAVG</th>\n",
       "      <th>YEAR</th>\n",
       "      <th>DAY</th>\n",
       "      <th>SMOOTHED</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>1955-01-01</td>\n",
       "      <td>0.000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1955</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>1955-01-02</td>\n",
       "      <td>2.032</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1955</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>1955-01-03</td>\n",
       "      <td>0.000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1955</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>1955-01-04</td>\n",
       "      <td>0.000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1955</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>1955-01-05</td>\n",
       "      <td>0.000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1955</td>\n",
       "      <td>5</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",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23246</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>2020-12-27</td>\n",
       "      <td>0.000</td>\n",
       "      <td>16.666667</td>\n",
       "      <td>2020</td>\n",
       "      <td>362</td>\n",
       "      <td>14.092593</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23247</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>2020-12-28</td>\n",
       "      <td>6.604</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>2020</td>\n",
       "      <td>363</td>\n",
       "      <td>14.166667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23248</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>2020-12-29</td>\n",
       "      <td>0.000</td>\n",
       "      <td>16.111111</td>\n",
       "      <td>2020</td>\n",
       "      <td>364</td>\n",
       "      <td>14.166667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23249</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>2020-12-30</td>\n",
       "      <td>0.000</td>\n",
       "      <td>16.666667</td>\n",
       "      <td>2020</td>\n",
       "      <td>365</td>\n",
       "      <td>14.222222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23250</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>2020-12-31</td>\n",
       "      <td>0.000</td>\n",
       "      <td>15.555556</td>\n",
       "      <td>2020</td>\n",
       "      <td>366</td>\n",
       "      <td>14.333333</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>24104 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           STATION            NAME       DATE   PRCP       TAVG  YEAR  DAY  \\\n",
       "0      GR000016716  HELLINIKON, GR 1955-01-01  0.000        NaN  1955    1   \n",
       "1      GR000016716  HELLINIKON, GR 1955-01-02  2.032        NaN  1955    2   \n",
       "2      GR000016716  HELLINIKON, GR 1955-01-03  0.000        NaN  1955    3   \n",
       "3      GR000016716  HELLINIKON, GR 1955-01-04  0.000        NaN  1955    4   \n",
       "4      GR000016716  HELLINIKON, GR 1955-01-05  0.000        NaN  1955    5   \n",
       "...            ...             ...        ...    ...        ...   ...  ...   \n",
       "23246  GR000016716  HELLINIKON, GR 2020-12-27  0.000  16.666667  2020  362   \n",
       "23247  GR000016716  HELLINIKON, GR 2020-12-28  6.604  15.000000  2020  363   \n",
       "23248  GR000016716  HELLINIKON, GR 2020-12-29  0.000  16.111111  2020  364   \n",
       "23249  GR000016716  HELLINIKON, GR 2020-12-30  0.000  16.666667  2020  365   \n",
       "23250  GR000016716  HELLINIKON, GR 2020-12-31  0.000  15.555556  2020  366   \n",
       "\n",
       "        SMOOTHED  \n",
       "0            NaN  \n",
       "1            NaN  \n",
       "2            NaN  \n",
       "3            NaN  \n",
       "4            NaN  \n",
       "...          ...  \n",
       "23246  14.092593  \n",
       "23247  14.166667  \n",
       "23248  14.166667  \n",
       "23249  14.222222  \n",
       "23250  14.333333  \n",
       "\n",
       "[24104 rows x 8 columns]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "datatemps['YEAR'] = datatemps.DATE.dt.year\n",
    "datatemps['DAY'] = datatemps.DATE.dt.dayofyear\n",
    "datatemps['SMOOTHED'] = datatemps['TAVG'].rolling(window=30, min_periods=1).mean()\n",
    "datatemps"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8dd70040",
   "metadata": {},
   "source": [
    "* We collect a copy of the data from `data_hellinikon` in order to form the baseline (1974 to 1999 period).\n",
    "* We add a column called `DAY` with the index of the corresponding day of the year.\n",
    "* We repeat the process of creating the column `SMOOTHED` like we did above at `datatemps` DataFrame. Then, we calculate the 30 day rolling average."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "ec69fab9",
   "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>STATION</th>\n",
       "      <th>NAME</th>\n",
       "      <th>DATE</th>\n",
       "      <th>PRCP</th>\n",
       "      <th>TAVG</th>\n",
       "      <th>DAY</th>\n",
       "      <th>SMOOTHED</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>6940</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>1974-01-01</td>\n",
       "      <td>0.000</td>\n",
       "      <td>11.666667</td>\n",
       "      <td>1</td>\n",
       "      <td>11.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6941</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>1974-01-02</td>\n",
       "      <td>0.000</td>\n",
       "      <td>13.888889</td>\n",
       "      <td>2</td>\n",
       "      <td>12.777778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6942</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>1974-01-03</td>\n",
       "      <td>9.906</td>\n",
       "      <td>12.222222</td>\n",
       "      <td>3</td>\n",
       "      <td>12.592593</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6943</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>1974-01-04</td>\n",
       "      <td>0.000</td>\n",
       "      <td>10.555556</td>\n",
       "      <td>4</td>\n",
       "      <td>12.083333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6944</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>1974-01-05</td>\n",
       "      <td>0.000</td>\n",
       "      <td>9.444444</td>\n",
       "      <td>5</td>\n",
       "      <td>11.555556</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>16431</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>1999-12-27</td>\n",
       "      <td>0.000</td>\n",
       "      <td>15.555556</td>\n",
       "      <td>361</td>\n",
       "      <td>13.314815</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16432</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>1999-12-28</td>\n",
       "      <td>0.000</td>\n",
       "      <td>16.666667</td>\n",
       "      <td>362</td>\n",
       "      <td>13.537037</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16433</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>1999-12-29</td>\n",
       "      <td>0.000</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>363</td>\n",
       "      <td>13.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16434</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>1999-12-30</td>\n",
       "      <td>0.000</td>\n",
       "      <td>13.333333</td>\n",
       "      <td>364</td>\n",
       "      <td>13.740741</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16435</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>1999-12-31</td>\n",
       "      <td>9.906</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>365</td>\n",
       "      <td>13.888889</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>9496 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           STATION            NAME       DATE   PRCP       TAVG  DAY  \\\n",
       "6940   GR000016716  HELLINIKON, GR 1974-01-01  0.000  11.666667    1   \n",
       "6941   GR000016716  HELLINIKON, GR 1974-01-02  0.000  13.888889    2   \n",
       "6942   GR000016716  HELLINIKON, GR 1974-01-03  9.906  12.222222    3   \n",
       "6943   GR000016716  HELLINIKON, GR 1974-01-04  0.000  10.555556    4   \n",
       "6944   GR000016716  HELLINIKON, GR 1974-01-05  0.000   9.444444    5   \n",
       "...            ...             ...        ...    ...        ...  ...   \n",
       "16431  GR000016716  HELLINIKON, GR 1999-12-27  0.000  15.555556  361   \n",
       "16432  GR000016716  HELLINIKON, GR 1999-12-28  0.000  16.666667  362   \n",
       "16433  GR000016716  HELLINIKON, GR 1999-12-29  0.000  15.000000  363   \n",
       "16434  GR000016716  HELLINIKON, GR 1999-12-30  0.000  13.333333  364   \n",
       "16435  GR000016716  HELLINIKON, GR 1999-12-31  9.906  15.000000  365   \n",
       "\n",
       "        SMOOTHED  \n",
       "6940   11.666667  \n",
       "6941   12.777778  \n",
       "6942   12.592593  \n",
       "6943   12.083333  \n",
       "6944   11.555556  \n",
       "...          ...  \n",
       "16431  13.314815  \n",
       "16432  13.537037  \n",
       "16433  13.666667  \n",
       "16434  13.740741  \n",
       "16435  13.888889  \n",
       "\n",
       "[9496 rows x 7 columns]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "baseline = data_hellinikon[((data_hellinikon.DATE.dt.year >= 1974) & (data_hellinikon.DATE.dt.year <= 1999))].copy()\n",
    "baseline['DAY'] = baseline.DATE.dt.dayofyear\n",
    "baseline['SMOOTHED']= baseline['TAVG'].rolling(window=30, min_periods=1).mean()\n",
    "baseline"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "87900654",
   "metadata": {},
   "source": [
    "**Graph**\n",
    "* We use seaborn to create the diagram.\n",
    "* First we design the average daily temperature of each year (1955-1999) in a relplot form.\n",
    "* Then, we add a thicker black line with the values of the baseline (1974-1999)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "c53d8451",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1152x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "gr = sns.relplot(\n",
    "    data=datatemps,\n",
    "    x=\"DAY\", y=\"SMOOTHED\", height = 8, aspect = 2, hue='YEAR',\n",
    "    kind=\"line\", ci=None, palette = sns.color_palette('Oranges', n_colors=66),\n",
    "     legend = False, linewidth=1.5\n",
    ")\n",
    "gr.set(xlabel ='Date', ylabel = 'Average Daily Temperature', xticks = [i for i in range(0,336,30)],\n",
    "      xticklabels = ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec'])\n",
    "axes=gr.axes.flatten()\n",
    "for ax in axes:\n",
    "    sns.lineplot(data=baseline, x='DAY', y='SMOOTHED', ax=ax, color='black', linewidth=3, ci=None)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2ee030fa",
   "metadata": {},
   "source": [
    "#### **Comments**\n",
    "At the above diagram, we generally notice that the mean temperature changes in a similar way during the years 1955 to 2020.  \n",
    "The mean lowest temperatures are around 10 degrees Celcius and the highest ones are a bit over 30 degrees."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ce19b079",
   "metadata": {},
   "source": [
    "### Q4: Extreme Temperature Events"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "468311f0",
   "metadata": {},
   "source": [
    "* First of all, we gather the data of the baseline period 1974-1999.\n",
    "* Then, we add a column `DAY` which contains the index of the current day of the year."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "ca1139ae",
   "metadata": {
    "scrolled": true
   },
   "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>STATION</th>\n",
       "      <th>NAME</th>\n",
       "      <th>DATE</th>\n",
       "      <th>TAVG</th>\n",
       "      <th>DAY</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>6940</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>1974-01-01</td>\n",
       "      <td>11.666667</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6941</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>1974-01-02</td>\n",
       "      <td>13.888889</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6942</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>1974-01-03</td>\n",
       "      <td>12.222222</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6943</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>1974-01-04</td>\n",
       "      <td>10.555556</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6944</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>1974-01-05</td>\n",
       "      <td>9.444444</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16431</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>1999-12-27</td>\n",
       "      <td>15.555556</td>\n",
       "      <td>361</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16432</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>1999-12-28</td>\n",
       "      <td>16.666667</td>\n",
       "      <td>362</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16433</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>1999-12-29</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>363</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16434</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>1999-12-30</td>\n",
       "      <td>13.333333</td>\n",
       "      <td>364</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16435</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>1999-12-31</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>365</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>9496 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           STATION            NAME       DATE       TAVG  DAY\n",
       "6940   GR000016716  HELLINIKON, GR 1974-01-01  11.666667    1\n",
       "6941   GR000016716  HELLINIKON, GR 1974-01-02  13.888889    2\n",
       "6942   GR000016716  HELLINIKON, GR 1974-01-03  12.222222    3\n",
       "6943   GR000016716  HELLINIKON, GR 1974-01-04  10.555556    4\n",
       "6944   GR000016716  HELLINIKON, GR 1974-01-05   9.444444    5\n",
       "...            ...             ...        ...        ...  ...\n",
       "16431  GR000016716  HELLINIKON, GR 1999-12-27  15.555556  361\n",
       "16432  GR000016716  HELLINIKON, GR 1999-12-28  16.666667  362\n",
       "16433  GR000016716  HELLINIKON, GR 1999-12-29  15.000000  363\n",
       "16434  GR000016716  HELLINIKON, GR 1999-12-30  13.333333  364\n",
       "16435  GR000016716  HELLINIKON, GR 1999-12-31  15.000000  365\n",
       "\n",
       "[9496 rows x 5 columns]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "baseline = data_hellinikon[((data_hellinikon.DATE.dt.year >= 1974) & (data_hellinikon.DATE.dt.year <= 1999))].copy()\n",
    "del baseline['PRCP']\n",
    "baseline['DAY'] = baseline.DATE.dt.dayofyear\n",
    "baseline"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6d221fff",
   "metadata": {},
   "source": [
    "* We group the baseline data by `DAY` and also calculating the mean. That way we will get the mean temperature of each day of the year. \n",
    "* Then, we add a column `LIMIT` with the degrees 10% over the mean daily temperature.\n",
    "* We reset the dataframe's index, which is the `DAY` index, so that we can access it later on the analysis."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "62032b26",
   "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>DAY</th>\n",
       "      <th>TAVG</th>\n",
       "      <th>LIMIT</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>10.363248</td>\n",
       "      <td>11.399573</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>10.705128</td>\n",
       "      <td>11.775641</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>10.213675</td>\n",
       "      <td>11.235043</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>9.594017</td>\n",
       "      <td>10.553419</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>9.957265</td>\n",
       "      <td>10.952991</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>361</th>\n",
       "      <td>362</td>\n",
       "      <td>10.277778</td>\n",
       "      <td>11.305556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>362</th>\n",
       "      <td>363</td>\n",
       "      <td>10.662393</td>\n",
       "      <td>11.728632</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>363</th>\n",
       "      <td>364</td>\n",
       "      <td>11.025641</td>\n",
       "      <td>12.128205</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>364</th>\n",
       "      <td>365</td>\n",
       "      <td>11.111111</td>\n",
       "      <td>12.222222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>365</th>\n",
       "      <td>366</td>\n",
       "      <td>9.814815</td>\n",
       "      <td>10.796296</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>366 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     DAY       TAVG      LIMIT\n",
       "0      1  10.363248  11.399573\n",
       "1      2  10.705128  11.775641\n",
       "2      3  10.213675  11.235043\n",
       "3      4   9.594017  10.553419\n",
       "4      5   9.957265  10.952991\n",
       "..   ...        ...        ...\n",
       "361  362  10.277778  11.305556\n",
       "362  363  10.662393  11.728632\n",
       "363  364  11.025641  12.128205\n",
       "364  365  11.111111  12.222222\n",
       "365  366   9.814815  10.796296\n",
       "\n",
       "[366 rows x 3 columns]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grouped_baseline = baseline.groupby('DAY').mean()\n",
    "grouped_baseline['LIMIT'] = grouped_baseline.TAVG * 1.1\n",
    "grouped_baseline = grouped_baseline.reset_index()\n",
    "grouped_baseline"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "adabb186",
   "metadata": {},
   "source": [
    "* Now, we merge the baseline data with the grouped data by day, using the column `DAY` as key.\n",
    "* That way, we can easily compare the limit temperature of each day (column `LIMIT`) with the daily temperature of the baseline (column `TAVG_x`).\n",
    "* We finally delete the columns we won't need."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "99f042b7",
   "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>STATION</th>\n",
       "      <th>NAME</th>\n",
       "      <th>DATE</th>\n",
       "      <th>TAVG_x</th>\n",
       "      <th>DAY</th>\n",
       "      <th>LIMIT</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>1974-01-01</td>\n",
       "      <td>11.666667</td>\n",
       "      <td>1</td>\n",
       "      <td>11.399573</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>1975-01-01</td>\n",
       "      <td>8.888889</td>\n",
       "      <td>1</td>\n",
       "      <td>11.399573</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>1976-01-01</td>\n",
       "      <td>11.111111</td>\n",
       "      <td>1</td>\n",
       "      <td>11.399573</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>1977-01-01</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>11.399573</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>1978-01-01</td>\n",
       "      <td>7.222222</td>\n",
       "      <td>1</td>\n",
       "      <td>11.399573</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9491</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>1980-12-31</td>\n",
       "      <td>7.777778</td>\n",
       "      <td>366</td>\n",
       "      <td>10.796296</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9492</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>1984-12-31</td>\n",
       "      <td>8.333333</td>\n",
       "      <td>366</td>\n",
       "      <td>10.796296</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9493</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>1988-12-31</td>\n",
       "      <td>8.333333</td>\n",
       "      <td>366</td>\n",
       "      <td>10.796296</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9494</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>1992-12-31</td>\n",
       "      <td>8.888889</td>\n",
       "      <td>366</td>\n",
       "      <td>10.796296</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9495</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>1996-12-31</td>\n",
       "      <td>12.777778</td>\n",
       "      <td>366</td>\n",
       "      <td>10.796296</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>9496 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          STATION            NAME       DATE     TAVG_x  DAY      LIMIT\n",
       "0     GR000016716  HELLINIKON, GR 1974-01-01  11.666667    1  11.399573\n",
       "1     GR000016716  HELLINIKON, GR 1975-01-01   8.888889    1  11.399573\n",
       "2     GR000016716  HELLINIKON, GR 1976-01-01  11.111111    1  11.399573\n",
       "3     GR000016716  HELLINIKON, GR 1977-01-01  10.000000    1  11.399573\n",
       "4     GR000016716  HELLINIKON, GR 1978-01-01   7.222222    1  11.399573\n",
       "...           ...             ...        ...        ...  ...        ...\n",
       "9491  GR000016716  HELLINIKON, GR 1980-12-31   7.777778  366  10.796296\n",
       "9492  GR000016716  HELLINIKON, GR 1984-12-31   8.333333  366  10.796296\n",
       "9493  GR000016716  HELLINIKON, GR 1988-12-31   8.333333  366  10.796296\n",
       "9494  GR000016716  HELLINIKON, GR 1992-12-31   8.888889  366  10.796296\n",
       "9495  GR000016716  HELLINIKON, GR 1996-12-31  12.777778  366  10.796296\n",
       "\n",
       "[9496 rows x 6 columns]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "merged =baseline.merge(grouped_baseline, on='DAY', how='outer')\n",
    "merged.drop(['TAVG_y'], inplace=True, axis=1)\n",
    "merged"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b92f3d7c",
   "metadata": {},
   "source": [
    "* We calculate the percentage of the extreme temperature events, by dividing the number of extreme events with the total number of observations of the baseline.\n",
    "* Extreme events are the ones where the value of the column `TAVG_x` is higher than the value at column `LIMIT`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "8876094a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.24905223251895536"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "baseline_percentage = len(merged[merged.TAVG_x > merged.LIMIT])/len(merged.TAVG_x)\n",
    "baseline_percentage"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4ee3ae32",
   "metadata": {},
   "source": [
    "* In the dataframe `extr_events`, we gather the data of all years (1955-2020).\n",
    "* We add a column `YEAR` with the year of each observation, and also a column `DAY` with the index of the corresponding day of the year.\n",
    "* The column `IND` contains the value 1. We added it to help us calculate the total number of observations of each year."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "af0d0387",
   "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>STATION</th>\n",
       "      <th>NAME</th>\n",
       "      <th>DATE</th>\n",
       "      <th>PRCP</th>\n",
       "      <th>TAVG</th>\n",
       "      <th>YEAR</th>\n",
       "      <th>DAY</th>\n",
       "      <th>IND</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>1955-01-01</td>\n",
       "      <td>0.000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1955</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>1955-01-02</td>\n",
       "      <td>2.032</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1955</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>1955-01-03</td>\n",
       "      <td>0.000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1955</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>1955-01-04</td>\n",
       "      <td>0.000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1955</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>1955-01-05</td>\n",
       "      <td>0.000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1955</td>\n",
       "      <td>5</td>\n",
       "      <td>1</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",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23246</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>2020-12-27</td>\n",
       "      <td>0.000</td>\n",
       "      <td>16.666667</td>\n",
       "      <td>2020</td>\n",
       "      <td>362</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23247</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>2020-12-28</td>\n",
       "      <td>6.604</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>2020</td>\n",
       "      <td>363</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23248</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>2020-12-29</td>\n",
       "      <td>0.000</td>\n",
       "      <td>16.111111</td>\n",
       "      <td>2020</td>\n",
       "      <td>364</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23249</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>2020-12-30</td>\n",
       "      <td>0.000</td>\n",
       "      <td>16.666667</td>\n",
       "      <td>2020</td>\n",
       "      <td>365</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23250</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>2020-12-31</td>\n",
       "      <td>0.000</td>\n",
       "      <td>15.555556</td>\n",
       "      <td>2020</td>\n",
       "      <td>366</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>24104 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           STATION            NAME       DATE   PRCP       TAVG  YEAR  DAY  \\\n",
       "0      GR000016716  HELLINIKON, GR 1955-01-01  0.000        NaN  1955    1   \n",
       "1      GR000016716  HELLINIKON, GR 1955-01-02  2.032        NaN  1955    2   \n",
       "2      GR000016716  HELLINIKON, GR 1955-01-03  0.000        NaN  1955    3   \n",
       "3      GR000016716  HELLINIKON, GR 1955-01-04  0.000        NaN  1955    4   \n",
       "4      GR000016716  HELLINIKON, GR 1955-01-05  0.000        NaN  1955    5   \n",
       "...            ...             ...        ...    ...        ...   ...  ...   \n",
       "23246  GR000016716  HELLINIKON, GR 2020-12-27  0.000  16.666667  2020  362   \n",
       "23247  GR000016716  HELLINIKON, GR 2020-12-28  6.604  15.000000  2020  363   \n",
       "23248  GR000016716  HELLINIKON, GR 2020-12-29  0.000  16.111111  2020  364   \n",
       "23249  GR000016716  HELLINIKON, GR 2020-12-30  0.000  16.666667  2020  365   \n",
       "23250  GR000016716  HELLINIKON, GR 2020-12-31  0.000  15.555556  2020  366   \n",
       "\n",
       "       IND  \n",
       "0        1  \n",
       "1        1  \n",
       "2        1  \n",
       "3        1  \n",
       "4        1  \n",
       "...    ...  \n",
       "23246    1  \n",
       "23247    1  \n",
       "23248    1  \n",
       "23249    1  \n",
       "23250    1  \n",
       "\n",
       "[24104 rows x 8 columns]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "extr_events = data_hellinikon.copy()\n",
    "extr_events['YEAR'] = extr_events.DATE.dt.year\n",
    "extr_events['DAY'] = extr_events.DATE.dt.dayofyear\n",
    "extr_events['IND'] = 1\n",
    "extr_events"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b5e067a6",
   "metadata": {},
   "source": [
    "* Now we merge our data with the grouped data of the baseline by `DAY`. That way, we can compare the daily `LIMIT` temperatures of the baseline with the daily temperature of each observation.\n",
    "* We add a new column `IS_ABOVE` which is of type `Boolean`. It contains `True` when the daily temperature of the data is above the limit temperature of the baseline and `False` otherwise.\n",
    "* We finally delete the columns we won't need."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "206b3ccd",
   "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>STATION</th>\n",
       "      <th>NAME</th>\n",
       "      <th>DATE</th>\n",
       "      <th>PRCP</th>\n",
       "      <th>TAVG_x</th>\n",
       "      <th>YEAR</th>\n",
       "      <th>DAY</th>\n",
       "      <th>IND</th>\n",
       "      <th>LIMIT</th>\n",
       "      <th>IS_ABOVE</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>1955-01-01</td>\n",
       "      <td>0.000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1955</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>11.399573</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>1956-01-01</td>\n",
       "      <td>0.000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1956</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>11.399573</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>1957-01-01</td>\n",
       "      <td>0.000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1957</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>11.399573</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>1958-01-01</td>\n",
       "      <td>0.000</td>\n",
       "      <td>12.222222</td>\n",
       "      <td>1958</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>11.399573</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>1959-01-01</td>\n",
       "      <td>0.000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1959</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>11.399573</td>\n",
       "      <td>False</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24099</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>2004-12-31</td>\n",
       "      <td>9.398</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>2004</td>\n",
       "      <td>366</td>\n",
       "      <td>1</td>\n",
       "      <td>10.796296</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24100</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>2008-12-31</td>\n",
       "      <td>0.000</td>\n",
       "      <td>6.111111</td>\n",
       "      <td>2008</td>\n",
       "      <td>366</td>\n",
       "      <td>1</td>\n",
       "      <td>10.796296</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24101</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>2012-12-31</td>\n",
       "      <td>27.940</td>\n",
       "      <td>10.555556</td>\n",
       "      <td>2012</td>\n",
       "      <td>366</td>\n",
       "      <td>1</td>\n",
       "      <td>10.796296</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24102</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>2016-12-31</td>\n",
       "      <td>0.000</td>\n",
       "      <td>3.333333</td>\n",
       "      <td>2016</td>\n",
       "      <td>366</td>\n",
       "      <td>1</td>\n",
       "      <td>10.796296</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24103</th>\n",
       "      <td>GR000016716</td>\n",
       "      <td>HELLINIKON, GR</td>\n",
       "      <td>2020-12-31</td>\n",
       "      <td>0.000</td>\n",
       "      <td>15.555556</td>\n",
       "      <td>2020</td>\n",
       "      <td>366</td>\n",
       "      <td>1</td>\n",
       "      <td>10.796296</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>24104 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           STATION            NAME       DATE    PRCP     TAVG_x  YEAR  DAY  \\\n",
       "0      GR000016716  HELLINIKON, GR 1955-01-01   0.000        NaN  1955    1   \n",
       "1      GR000016716  HELLINIKON, GR 1956-01-01   0.000        NaN  1956    1   \n",
       "2      GR000016716  HELLINIKON, GR 1957-01-01   0.000        NaN  1957    1   \n",
       "3      GR000016716  HELLINIKON, GR 1958-01-01   0.000  12.222222  1958    1   \n",
       "4      GR000016716  HELLINIKON, GR 1959-01-01   0.000        NaN  1959    1   \n",
       "...            ...             ...        ...     ...        ...   ...  ...   \n",
       "24099  GR000016716  HELLINIKON, GR 2004-12-31   9.398  10.000000  2004  366   \n",
       "24100  GR000016716  HELLINIKON, GR 2008-12-31   0.000   6.111111  2008  366   \n",
       "24101  GR000016716  HELLINIKON, GR 2012-12-31  27.940  10.555556  2012  366   \n",
       "24102  GR000016716  HELLINIKON, GR 2016-12-31   0.000   3.333333  2016  366   \n",
       "24103  GR000016716  HELLINIKON, GR 2020-12-31   0.000  15.555556  2020  366   \n",
       "\n",
       "       IND      LIMIT  IS_ABOVE  \n",
       "0        1  11.399573     False  \n",
       "1        1  11.399573     False  \n",
       "2        1  11.399573     False  \n",
       "3        1  11.399573      True  \n",
       "4        1  11.399573     False  \n",
       "...    ...        ...       ...  \n",
       "24099    1  10.796296     False  \n",
       "24100    1  10.796296     False  \n",
       "24101    1  10.796296     False  \n",
       "24102    1  10.796296     False  \n",
       "24103    1  10.796296      True  \n",
       "\n",
       "[24104 rows x 10 columns]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "merged_with_base = extr_events.merge(grouped_baseline, on='DAY', how='outer')\n",
    "merged_with_base['IS_ABOVE'] = merged_with_base.TAVG_x > merged_with_base.LIMIT\n",
    "merged_with_base.drop(['TAVG_y'], inplace=True, axis=1)\n",
    "merged_with_base"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3829df21",
   "metadata": {},
   "source": [
    "* Now we group the above data by `YEAR` and also calculating the summary.\n",
    "* That way, the column `IS_ABOVE` will fill with the sum of the `True` values of each year. This sum is the number of extreme events of every year.\n",
    "* Also, the column `IND` now contains the total number of observations of each year."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "b600dce1",
   "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>PRCP</th>\n",
       "      <th>TAVG_x</th>\n",
       "      <th>DAY</th>\n",
       "      <th>IND</th>\n",
       "      <th>LIMIT</th>\n",
       "      <th>IS_ABOVE</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>YEAR</th>\n",
       "      <th></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>1955</th>\n",
       "      <td>547.370</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>66795</td>\n",
       "      <td>365</td>\n",
       "      <td>7168.294786</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1956</th>\n",
       "      <td>281.432</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>67161</td>\n",
       "      <td>366</td>\n",
       "      <td>7179.091083</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1957</th>\n",
       "      <td>302.514</td>\n",
       "      <td>3915.555556</td>\n",
       "      <td>66795</td>\n",
       "      <td>365</td>\n",
       "      <td>7168.294786</td>\n",
       "      <td>48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1958</th>\n",
       "      <td>350.266</td>\n",
       "      <td>6823.333333</td>\n",
       "      <td>66795</td>\n",
       "      <td>365</td>\n",
       "      <td>7168.294786</td>\n",
       "      <td>136</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1959</th>\n",
       "      <td>213.868</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>66795</td>\n",
       "      <td>365</td>\n",
       "      <td>7168.294786</td>\n",
       "      <td>0</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016</th>\n",
       "      <td>261.332</td>\n",
       "      <td>7091.411111</td>\n",
       "      <td>67161</td>\n",
       "      <td>366</td>\n",
       "      <td>7179.091083</td>\n",
       "      <td>156</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017</th>\n",
       "      <td>304.396</td>\n",
       "      <td>6998.955556</td>\n",
       "      <td>66795</td>\n",
       "      <td>365</td>\n",
       "      <td>7168.294786</td>\n",
       "      <td>169</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018</th>\n",
       "      <td>380.422</td>\n",
       "      <td>7119.077778</td>\n",
       "      <td>66795</td>\n",
       "      <td>365</td>\n",
       "      <td>7168.294786</td>\n",
       "      <td>170</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019</th>\n",
       "      <td>570.230</td>\n",
       "      <td>7012.222222</td>\n",
       "      <td>66795</td>\n",
       "      <td>365</td>\n",
       "      <td>7168.294786</td>\n",
       "      <td>164</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020</th>\n",
       "      <td>210.312</td>\n",
       "      <td>7066.666667</td>\n",
       "      <td>67161</td>\n",
       "      <td>366</td>\n",
       "      <td>7179.091083</td>\n",
       "      <td>179</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>66 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         PRCP       TAVG_x    DAY  IND        LIMIT  IS_ABOVE\n",
       "YEAR                                                         \n",
       "1955  547.370     0.000000  66795  365  7168.294786         0\n",
       "1956  281.432     0.000000  67161  366  7179.091083         0\n",
       "1957  302.514  3915.555556  66795  365  7168.294786        48\n",
       "1958  350.266  6823.333333  66795  365  7168.294786       136\n",
       "1959  213.868     0.000000  66795  365  7168.294786         0\n",
       "...       ...          ...    ...  ...          ...       ...\n",
       "2016  261.332  7091.411111  67161  366  7179.091083       156\n",
       "2017  304.396  6998.955556  66795  365  7168.294786       169\n",
       "2018  380.422  7119.077778  66795  365  7168.294786       170\n",
       "2019  570.230  7012.222222  66795  365  7168.294786       164\n",
       "2020  210.312  7066.666667  67161  366  7179.091083       179\n",
       "\n",
       "[66 rows x 6 columns]"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grouped_by_year = merged_with_base.groupby('YEAR').sum()\n",
    "grouped_by_year"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "01945bc7",
   "metadata": {},
   "source": [
    "* To calculate the percentage of extreme events of each year, we divide the number of extreme events (column `IS_ABOVE`) with the total number of observations (column `IND`)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "a9572e88",
   "metadata": {},
   "outputs": [],
   "source": [
    "percents = grouped_by_year.IS_ABOVE/grouped_by_year.IND"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "83bb8bad",
   "metadata": {},
   "source": [
    "**Graph**\n",
    "* We use matplotlib to design the graph.\n",
    "* At the  `colors` list we define the two colors that we need for the diagram depending on whether the bars are over the baseline percentage or not.\n",
    "* We design the bars, the horizontal constant line of the baseline and we add names to the two axis."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "5315b7b2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Percentage')"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA3gAAAJNCAYAAABjrtfkAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuNCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8QVMy6AAAACXBIWXMAAAsTAAALEwEAmpwYAAAhsUlEQVR4nO3dfZBld1kn8O/DDCGIoisJKyYZMmJ0KyggzkZQShBFCb4MFKJhVBC1slnJKLvuYlgtcZd9EddyXQOaSmEQV0LUVUyEQJaytlBElkyQtwCRGNSMYQ1vgiAhmfDsH/fOcu3My+3OnO7bv/l8qm71Pef87pmn++npmW//fvec6u4AAACw/d1nqwsAAADgxBDwAAAABiHgAQAADELAAwAAGISABwAAMAgBDwAAYBA7t7qA9TrttNP67LPP3uoyAAAAtsQNN9zw4e4+/UjHtl3AO/vss3PgwIGtLgMAAGBLVNVfHe2YJZoAAACDEPAAAAAGIeABAAAMQsADAAAYhIAHAAAwCAEPAABgEAIeAADAIAQ8AACAQQh4AAAAgxDwAAAABiHgAQAADELAAwAAGISABwAAMAgBDwAAYBACHgAAwCAEPAAAgEEIeAAAAIMQ8AAAAAYh4AEAAAxCwAMAABiEgAcAADAIAQ8AAGAQAh4AAMAgBDwAAIBB7NzqAgAA4KR3ZS03bl9PWwfbnhk8AACAQQh4AAAAgxDwAAAABiHgAQAADELAAwAAGISABwAAMAgBDwAAYBACHgAAwCAEPAAAgEEIeAAAAIMQ8AAAAAYh4AEAAAxCwAMAABiEgAcAADAIAQ8AAGAQAh4AAMAgBDwAAIBBCHgAAACDEPAAAAAGIeABAAAMQsADAAAYhIAHAAAwCAEPAABgEAIeAADAIAQ8AACAQQh4AAAAgxDwAAAABiHgAQAADELAAwAAGISABwAAMAgBDwAAYBACHgAAwCAEPAAAgEEIeAAAAIMQ8AAAAAYh4AEAAAxCwAMAABjEpAGvqp5cVTdV1c1VdckRjj+hqj5eVW+fP35mynoAAABGtnOqE1fVjiQvTfKkJAeTXF9V13T3e9YM/ePu/o6p6gAAADhZTDmDd16Sm7v7lu6+M8lVSfZO+OcBAACc1KYMeGckuXVh++B831qPrap3VNXrqurhE9YDAAAwtMmWaCapI+zrNdtvS/LQ7v5kVT0lye8nOeceJ6q6MMmFSbJr164TXCYAAMAYppzBO5jkrIXtM5Pctjiguz/R3Z+cP782yX2r6rS1J+ruy7t7T3fvOf300ycsGQAAYPuaMuBdn+ScqtpdVackuSDJNYsDqupLqqrmz8+b1/ORCWsCAAAY1mRLNLv7UFVdnOS6JDuSXNHdN1bVRfPjlyX57iT/sqoOJfl0kgu6e+0yTgAAAJYw5XvwDi+7vHbNvssWnr8kyUumrAEAAOBkMemNzgEAANg8Ah4AAMAgBDwAAIBBCHgAAACDEPAAAAAGMelVNAEAAFbSlXX8Mfu23x3czOABAAAMQsADAAAYhIAHAAAwCAEPAABgEAIeAADAIAQ8AACAQQh4AAAAgxDwAAAABiHgAQAADELAAwAAGISABwAAMIidW10AAAAwsSvr+GP29fR1MDkzeAAAAIMQ8AAAAAYh4AEAAAxCwAMAABiEgAcAADAIAQ8AAGAQAh4AAMAg3AcPAAC2G/e14yjM4AEAAAzCDB4AALCazFSumxk8AACAQQh4AAAAg7BEEwAA2ByWXE7ODB4AAMAgBDwAAIBBCHgAAACDEPAAAAAGIeABAAAMQsADAAAYhIAHAAAwCAEPAABgEAIeAADAIHZudQEAALAtXFnLjdvX09YBx2AGDwAAYBACHgAAwCAs0QQAALY/S2iTmMEDAAAYhoAHAAAwCAEPAABgEAIeAADAIAQ8AACAQQh4AAAAgxDwAAAABiHgAQAADELAAwAAGMTOrS4Atr0ra7lx+3raOgAAOOmZwQMAABiEgAcAADAISzQBgBNjmSXrlqsDTMoMHgAAwCAEPAAAgEEIeAAAAIMQ8AAAAAYh4AEAAAxCwAMAABiEgAcAADAI98EDAFgP9/sDVpiABwAAbJxfeqwUSzQBAAAGIeABAAAMQsADAAAYhIAHAAAwCAEPAABgEAIeAADAINwmgdXhErsAAHCvmMEDAAAYhIAHAAAwCAEPAABgEAIeAADAIAQ8AACAQQh4AAAAgxDwAAAABiHgAQAADELAAwAAGISABwAAMAgBDwAAYBACHgAAwCAEPAAAgEFMGvCq6slVdVNV3VxVlxxj3D+vqrur6runrAcAAGBkkwW8qtqR5KVJzk9ybpJnVtW5Rxn34iTXTVULAADAyWDKGbzzktzc3bd0951Jrkqy9wjj9if53SS3T1gLAADA8KYMeGckuXVh++B83/9XVWckeVqSyyasAwAA4KQwZcCrI+zrNdu/lOQnu/vuY56o6sKqOlBVBz70oQ+dqPoAAACGsnPCcx9MctbC9plJblszZk+Sq6oqSU5L8pSqOtTdv784qLsvT3J5kuzZs2dtSAQAACDTBrzrk5xTVbuT/E2SC5LsWxzQ3bsPP6+qX0/ymrXhDgAAgOVMFvC6+1BVXZzZ1TF3JLmiu2+sqovmx73vjnvnyiOtAl5jnwlfAGCL+L8KW2DKGbx097VJrl2z74jBrrt/cMpaAAAARjfpjc4BAADYPJPO4AEAnPQs0wM2kRk8AACAQQh4AAAAgxDwAAAABiHgAQAADELAAwAAGISABwAAMAgBDwAAYBDugwcAwDjcd5CTnBk8AACAQQh4AAAAgxDwAAAABuE9eAAAwOd4H+O2ZgYPAABgEAIeAADAIAQ8AACAQQh4AAAAgxDwAAAABiHgAQAADELAAwAAGIT74I3IvUsAYHvybzhwL5nBAwAAGISABwAAMAhLNJmWpSYAALBpzOABAAAMQsADAAAYhIAHAAAwCAEPAABgEAIeAADAIAQ8AACAQQh4AAAAgxDwAAAABiHgAQAADELAAwAAGISABwAAMAgBDwAAYBACHgAAwCB2bnUBAABwTFfW8cfs6+nrgG3ADB4AAMAgBDwAAIBBCHgAAACDEPAAAAAGIeABAAAMQsADAAAYhIAHAAAwCAEPAABgEAIeAADAIAQ8AACAQQh4AAAAg9i51QUAAGypK2u5cft62joATgAzeAAAAIMQ8AAAAAYh4AEAAAxCwAMAABiEgAcAADAIAQ8AAGAQAh4AAMAgBDwAAIBBCHgAAACDEPAAAAAGIeABAAAMQsADAAAYhIAHAAAwCAEPAABgEAIeAADAIAQ8AACAQQh4AAAAg9i51QUAbGtX1vHH7Ovp6wBgY/wcZzBm8AAAAAYh4AEAAAxCwAMAABiEgAcAADAIF1kBgFXjog8AbJAZPAAAgEEIeAAAAIMQ8AAAAAYh4AEAAAxiqYBXM99fVT8z395VVedNWxoAAADrsewM3q8keWySZ863/z7JSyepCAAAgA1Z9jYJX9fdj66qP0uS7v5YVZ0yYV0AAACs07IB766q2pGkk6SqTk/y2cmqgq3mHlQAjGaZf9sS/77BNrfsEs1fTvLqJA+uqv+U5E1J/vNkVQEAALBuS83gdfcrq+qGJN+cpJI8tbvfO2llAAAArMtSAa+qvjjJ7UletbDvvt1911SFAXOWi5689B44Hj8ngDWWXaL5tiQfSvLnSd4/f/6BqnpbVX3tVMUBAACwvGUD3uuTPKW7T+vuByU5P8lvJ/nRzG6hcERV9eSquqmqbq6qS45wfG9VvbOq3l5VB6rqcRv5JAAAAFg+4O3p7usOb3T3/0ryjd39liT3O9IL5lfdfGlmYfDcJM+sqnPXDPvDJI/s7kcl+aEkL1tf+QAAABy2bMD7aFX9ZFU9dP54fpKPzUPc0W6XcF6Sm7v7lu6+M8lVSfYuDujuT3b34YXhD8j8NgwAAACs37IBb1+SM5P8fpKrk+ya79uR5HuO8pozkty6sH1wvu8fqaqnVdX7krw2s1k8AAAANmDZ2yR8OMn+oxy++Sj7j3RZp3vM0HX3q5O8uqq+McmLknzLPU5UdWGSC5Nk165dy5QMAABw0ln2NgmnJ3l+kocnOfXw/u5+4jFedjDJWQvbZya57WiDu/uPquphVXXaPFAuHrs8yeVJsmfPHss4AQAAjmDZJZqvTPK+JLuT/Pskf5nk+uO85vok51TV7qo6JckFSa5ZHFBVX15VNX/+6CSnJPnI0tUDAADw/y01g5fkQd39a1X14939xiRvrKo3HusF3X2oqi5Ocl1m79W7ortvrKqL5scvS/L0JM+qqruSfDrJ9y5cdAUAAIB1WDbg3TX/+MGq+vbMllqeebwXdfe1Sa5ds++yhecvTvLiJWsAAADgGJYNeP+xqr4wyU8kuTTJA5M8b6qiAAAAWL9lA97HuvvjST6e5JuSpKq+YbKqAAAAWLdlA96lSR69xD4AgOVceaQ7Kq2xz1vzAdbjmAGvqh6b5OuTnF5V/3rh0AMzu3AKAAAAK+J4M3inJPn8+bgvWNj/iSTfPVVRAAAArN8xA97CLRF+vbv/apNqAgBgq1lCC9vSsu/Bu19VXZ7k7MXXdPcTpygKAACA9Vs24P1OksuSvCzJ3dOVAwAAwEYtG/AOdfevTloJAAAA98qyAe8PqupHk7w6yWcO7+zuj05SFYzMexpg8/j7BsBJZtmA9+z5x3+7sK+TfNmJLQcAAICNWirgdffuqQsBAADg3rnPMoOq6vOq6qfnV9JMVZ1TVd8xbWkAAACsx7JLNF+e5IYkXz/fPpjZlTVfM0VRAAAMzPtjYTJLzeAleVh3/3ySu5Kkuz+dZIm/mQAAAGyWZQPenVV1/8wurJKqelgWrqYJAADA1lt2ieYLk7w+yVlV9cok35DkB6cqCgAAgPVb9iqab6iqtyV5TGZLM3+8uz88aWUAAACsy7JX0XxakkPd/drufk2SQ1X11EkrAwAAYF2WfQ/eC7v744c3uvvvMlu2CQAAwIpYNuAdadyy798DAABgEywb8A5U1S9W1cOq6suq6r9ldl88AAAAVsSyAW9/kjuT/FaS307y6STPnaooAAAA1u+4yyyrakeSq7v7WzahHgAAADbouDN43X13kn+oqi/chHoAAADYoGUvlHJHkndV1RuSfOrwzu7+sUmqAgAAYN2WDXivnT8AAABYUUsFvO5+RVXdP8mu7r5p4poAAADYgKUCXlV9Z5JfSHJKkt1V9agk/6G7v2vC2gBOjCvr+GP29fR1AABMbNnbJPxskvOS/F2SdPfbk+yepCIAAAA2ZNmAd6i7P75mn193AwAArJBlL7Ly7qral2RHVZ2T5MeSvHm6sgAAFiyz1Dqx3Bo46S07g7c/ycOTfCbJlUk+nuR5E9UEAADABhxzBq+qTk1yUZIvT/KuJI/t7kObURiwAS4mAqvJ7BMAm+R4M3ivSLIns3B3fmZX0gQAAGAFHe89eOd291cnSVX9WpK3Tl8SAAAAG3G8gHfX4SfdfahqySUmwPawKks6LV/bfKvSe5iK73HgJHW8gPfIqvrE/Hkluf98u5J0dz9w0uoAAABY2jEDXnfv2KxCAAAAuHeWvU0CAAAAK07AAwAAGISABwAAMAgBDwAAYBDVvb0uEbx79+5+4QtfuNVlrLbb33j8MQ9+/PR1JOurZb11T/l5nui61zt+o5/nKn0N12O9X8Mpzu/cJ+7cq2RVPs+pf06siq3++bbe8Sfbz/FV+j7c6s9zFb+Gvg8359z3ppYV8pznPOeG7t5zpGNm8AAAAAax7Wbw9uzZ0wcOHNjqMlbbKt3cdT21rLfuKT/PE133esdv9PNcpa/hekx9o/NV+V45Wc69Slbl85z658Sq2Oqfb+sdf7L9HF+l78Ot/jxX8Wvo+3Bzzn1valkhVXXUGbzj3egcAFbG3kvvOO6Yq/efugmVAMBqskQTAABgEAIeAADAICzRBACOyrJYgO3FDB4AAMAgBDwAAIBBCHgAAACDEPAAAAAGIeABAAAMQsADAAAYhIAHAAAwCAEPAABgEAIeAADAIAQ8AACAQQh4AAAAgxDwAAAABrFzqwuAzbD30juWGnf1/lMnrgQAAKZjBg8AAGAQAh4AAMAgBDwAAIBBCHgAAACDEPAAAAAGIeABAAAMQsADAAAYhIAHAAAwCAEPAABgEDu3ugAAALa3vZfesdS4q/efOnElgBk8AACAQQh4AAAAgxDwAAAABiHgAQAADELAAwAAGISraAIsWOZKcK4CBwCsKjN4AAAAgzCDB7BJzA4CAFMzgwcAADAIAQ8AAGAQAh4AAMAgBDwAAIBBCHgAAACDmDTgVdWTq+qmqrq5qi45wvHvq6p3zh9vrqpHTlkPAADAyCYLeFW1I8lLk5yf5Nwkz6yqc9cM+0CSx3f3I5K8KMnlU9UDAAAwuiln8M5LcnN339Lddya5KsnexQHd/ebu/th88y1JzpywHgAAgKFNGfDOSHLrwvbB+b6j+eEkr5uwHgAAgKHtnPDcdYR9fcSBVd+UWcB73FGOX5jkwiTZtWvXiaoPAABgKFPO4B1MctbC9plJbls7qKoekeRlSfZ290eOdKLuvry793T3ntNPP32SYgEAALa7KQPe9UnOqardVXVKkguSXLM4oKp2Jfm9JD/Q3X8+YS0AAADDm2yJZncfqqqLk1yXZEeSK7r7xqq6aH78siQ/k+RBSX6lqpLkUHfvmaomADjZ7b30juOOuXr/qZtQCQBTmPI9eOnua5Ncu2bfZQvPfyTJj0xZAwAAwMli0hudAwAAsHkEPAAAgEEIeAAAAIMQ8AAAAAYh4AEAAAxCwAMAABiEgAcAADAIAQ8AAGAQAh4AAMAgBDwAAIBBCHgAAACD2LnVBQAA987eS+847pir95+6CZUAsNXM4AEAAAxCwAMAABiEJZrAtmM52j0t8zVJTr6vCwCcbMzgAQAADELAAwAAGIQlmgBsKUtuAeDEMYMHAAAwCDN4ABAXqgFgDGbwAAAABiHgAQAADELAAwAAGISABwAAMAgBDwAAYBACHgAAwCAEPAAAgEEIeAAAAIMQ8AAAAAYh4AEAAAxCwAMAABiEgAcAADCInVtdAABsR3svveO4Y67ef+omVAIAn2MGDwAAYBACHgAAwCAEPAAAgEEIeAAAAIMQ8AAAAAYh4AEAAAxCwAMAABiEgAcAADAIAQ8AAGAQAh4AAMAgBDwAAIBBCHgAAACDEPAAAAAGIeABAAAMQsADAAAYhIAHAAAwCAEPAABgEAIeAADAIAQ8AACAQQh4AAAAgxDwAAAABiHgAQAADGLnVhcAwGrbe+kdS427ev+pE1cCAByPGTwAAIBBCHgAAACDsEQTgBNqmSWdlnMCwDTM4AEAAAxCwAMAABiEJZrbgCvYAQAAyzCDBwAAMAgBDwAAYBACHgAAwCAEPAAAgEEIeAAAAIMQ8AAAAAYh4AEAAAxCwAMAABiEgAcAADAIAQ8AAGAQAh4AAMAgBDwAAIBBCHgAAACDEPAAAAAGIeABAAAMQsADAAAYhIAHAAAwCAEPAABgEAIeAADAIAQ8AACAQQh4AAAAgxDwAAAABiHgAQAADELAAwAAGISABwAAMIidU568qp6c5L8n2ZHkZd39c2uO/7MkL0/y6CQ/1d2/MGU9wMbtvfSOpcZdvf/UiSsBAOBoJgt4VbUjyUuTPCnJwSTXV9U13f2ehWEfTfJjSZ46VR0AAAAniymXaJ6X5ObuvqW770xyVZK9iwO6+/buvj7JXRPWAQAAcFKYMuCdkeTWhe2D830AAABMYMqAV0fY1xs6UdWFVXWgqg586EMfupdlAQAAjGnKgHcwyVkL22cmuW0jJ+ruy7t7T3fvOf30009IcQAAAKOZMuBdn+ScqtpdVackuSDJNRP+eQAAACe1ya6i2d2HquriJNdldpuEK7r7xqq6aH78sqr6kiQHkjwwyWer6nlJzu3uT0xVFwAAwKgmvQ9ed1+b5No1+y5beP5/M1u6CQAAwL005RJNAAAANpGABwAAMAgBDwAAYBACHgAAwCAEPAAAgEEIeAAAAIMQ8AAAAAYh4AEAAAxCwAMAABiEgAcAADAIAQ8AAGAQAh4AAMAgBDwAAIBBCHgAAACDEPAAAAAGIeABAAAMQsADAAAYhIAHAAAwCAEPAABgEAIeAADAIAQ8AACAQQh4AAAAgxDwAAAABiHgAQAADELAAwAAGISABwAAMAgBDwAAYBACHgAAwCAEPAAAgEEIeAAAAIMQ8AAAAAYh4AEAAAxCwAMAABiEgAcAADAIAQ8AAGAQAh4AAMAgBDwAAIBBCHgAAACDEPAAAAAGIeABAAAMQsADAAAYhIAHAAAwCAEPAABgEAIeAADAIAQ8AACAQQh4AAAAgxDwAAAABiHgAQAADELAAwAAGISABwAAMAgBDwAAYBACHgAAwCAEPAAAgEEIeAAAAIMQ8AAAAAYh4AEAAAxCwAMAABiEgAcAADAIAQ8AAGAQAh4AAMAgBDwAAIBBCHgAAACDEPAAAAAGIeABAAAMQsADAAAYhIAHAAAwCAEPAABgEAIeAADAIAQ8AACAQQh4AAAAgxDwAAAABiHgAQAADELAAwAAGISABwAAMAgBDwAAYBACHgAAwCAEPAAAgEEIeAAAAIMQ8AAAAAYh4AEAAAxCwAMAABiEgAcAADAIAQ8AAGAQAh4AAMAgBDwAAIBBCHgAAACDmDTgVdWTq+qmqrq5qi45wvGqql+eH39nVT16ynoAAABGNlnAq6odSV6a5Pwk5yZ5ZlWdu2bY+UnOmT8uTPKrU9UDAAAwuiln8M5LcnN339Lddya5KsneNWP2JvmNnnlLki+qqodMWBMAAMCwpgx4ZyS5dWH74HzfescAAACwhOruaU5c9Ywk39bdPzLf/oEk53X3/oUxr03yX7r7TfPtP0zy/O6+Yc25LsxsCWeSfGWSmyYpmo06LcmHt7oITgi9HIt+jkU/x6GXY9HPsWyXfj60u08/0oGdE/6hB5OctbB9ZpLbNjAm3X15kstPdIGcGFV1oLv3bHUd3Ht6ORb9HIt+jkMvx6KfYxmhn1Mu0bw+yTlVtbuqTklyQZJr1oy5Jsmz5lfTfEySj3f3ByesCQAAYFiTzeB196GqujjJdUl2JLmiu2+sqovmxy9Lcm2SpyS5Ock/JHnOVPUAAACMbsolmunuazMLcYv7Llt43kmeO2UNbArLZ8ehl2PRz7Ho5zj0ciz6OZZt38/JLrICAADA5pryPXgAAABsIgGPe6iqK6rq9qp698K+R1bVn1bVu6rqD6rqgQvHHjE/duP8+Knz/V873765qn65qmorPp+T3Xr6WVXfV1VvX3h8tqoeNT+mn1tsnb28b1W9Yr7/vVX1goXX6OUKWGc/T6mql8/3v6OqnrDwGv3cYlV1VlX97/nftRur6sfn+7+4qt5QVe+ff/wnC695wbxnN1XVty3s188ttt5+VtWD5uM/WVUvWXMu/dxiG+jnk6rqhnnfbqiqJy6ca3v0s7s9PP7RI8k3Jnl0kncv7Ls+yePnz38oyYvmz3cmeWeSR863H5Rkx/z5W5M8NkkleV2S87f6czsZH+vp55rXfXWSWxa29XMb9TLJviRXzZ9/XpK/THK2Xq7OY539fG6Sl8+fPzjJDUnuo5+r8UjykCSPnj//giR/nuTcJD+f5JL5/kuSvHj+/Nwk70hyvyS7k/yFfztX57GBfj4gyeOSXJTkJWvOpZ/br59fk+RL58+/KsnfbLd+msHjHrr7j5J8dM3ur0zyR/Pnb0jy9Pnzb03yzu5+x/y1H+nuu6vqIUke2N1/2rO/Eb+R5KmTF889rLOfi56Z5FVJop+rYZ297CQPqKqdSe6f5M4kn9DL1bHOfp6b5A/nr7s9yd8l2aOfq6G7P9jdb5s///sk701yRpK9SV4xH/aKfK43ezP7BcxnuvsDmV1N/Dz9XA3r7Wd3f6q735TkjsXz6Odq2EA//6y7D9+X+8Ykp1bV/bZTPwU8lvXuJN81f/6MfO4G9V+RpKvquqp6W1U9f77/jMxuZH/Ywfk+VsPR+rnoezMPeNHPVXa0Xv7PJJ9K8sEkf53kF7r7o9HLVXe0fr4jyd6q2llVu5N87fyYfq6Yqjo7sxmA/5Pkn/b8/r7zjw+eDzsjya0LLzvcN/1cMUv282j0c8VsoJ9PT/Jn3f2ZbKN+Cngs64eSPLeqbshsevvO+f6dmS1L+L75x6dV1TdnNnW9lku2ro6j9TNJUlVfl+Qfuvvwe4P0c3UdrZfnJbk7yZdmtgTsJ6rqy6KXq+5o/bwis/9MHEjyS0nenORQ9HOlVNXnJ/ndJM/r7k8ca+gR9vUx9rMF1tHPo57iCPv0c4ust59V9fAkL07yLw7vOsKwleznpPfBYxzd/b7MlmOmqr4iybfPDx1M8sbu/vD82LWZvafkN5OcuXCKM5PcFlbCMfp52AX53OxdMuuzfq6gY/RyX5LXd/ddSW6vqj9JsifJH0cvV9bR+tndh5L8q8PjqurNSd6f5GPRz5VQVffN7D+Pr+zu35vv/tuqekh3f3C+vOv2+f6D+ccrJw73zc/aFbHOfh6Nfq6I9fazqs5M8uokz+ruv5jv3jb9NIPHUqrqwfOP90ny00kO37D+uiSPqKrPm7/X5/FJ3jOf6v77qnrM/ApDz0py9RaUzhEco5+H9z0jyVWH9+nn6jpGL/86yRNr5gFJHpPkfXq52o7Wz/nP2AfMnz8pyaHu9rN2Rcy/9r+W5L3d/YsLh65J8uz582fnc725JskF8/f17E5yTpK36udq2EA/j0g/V8N6+1lVX5TktUle0N1/cnjwduqnG51zD1X1qiRPSHJakr9N8sIkn5/ZVdyS5Pcy+6bv+fjvT/KCzKapr+3u58/370ny65ld4OF1Sfa3b7hNt4F+PiHJz3X3Y9acRz+32Hp6OV+K8vLMLs5RmV2B8b/Oz6OXK2Cd/Tw7s1+ofTbJ3yT54e7+q/l59HOLVdXjMpsdf1dmPUqSf5fZ+3x+O8muzH7p8oz5e2FTVT+V2ZLcQ5ktGXvdfL9+brEN9vMvkzwwySmZXQTpW7v7Pfq59dbbz6r66cz+X/v+hdN8a3ffvl36KeABAAAMwhJNAACAQQh4AAAAgxDwAAAABiHgAQAADELAAwAAGISABwCZ3Supqt5UVecv7Pueqnr9VtYFAOvhNgkAMFdVX5Xkd5J8TZIdSd6e5Mnd/RcbONeO7r77xFYIAMcm4AHAgqr6+SSfSvKA+ceHJvnqJDuT/Gx3Xz2/8fj/mI9Jkou7+81V9YTMblj+wSSP6u5zN7d6AE52Ah4ALKiqByR5W5I7k7wmyY3d/ZtV9UVJ3prZ7F4n+Wx331FV5yR5VXfvmQe81yb5qu7+wFbUD8DJbedWFwAAq6S7P1VVv5Xkk0m+J8l3VtW/mR8+NcmuJLcleUlVPSrJ3Um+YuEUbxXuANgqAh4A3NNn549K8vTuvmnxYFX9bJK/TfLIzC5YdsfC4U9tUo0AcA+uogkAR3ddkv1VVUlSVV8z3/+FST7Y3Z9N8gOZXZAFALacgAcAR/eiJPdN8s6qevd8O0l+Jcmzq+otmS3PNGsHwEpwkRUAAIBBmMEDAAAYhIAHAAAwCAEPAABgEAIeAADAIAQ8AACAQQh4AAAAgxDwAAAABiHgAQAADOL/AZ2mEgHl/qmPAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=[15,10])\n",
    "xax = grouped_by_year.index\n",
    "yax = percents\n",
    "colors = ['orange' if (x>baseline_percentage) else '#4E92F7' for x in yax]\n",
    "plt.bar(xax, yax , color=colors)\n",
    "plt.axhline(baseline_percentage, color='grey', lw=1.5)\n",
    "plt.xlabel('Year')\n",
    "plt.ylabel('Percentage')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "172df49d",
   "metadata": {},
   "source": [
    "#### **Comments**\n",
    "The above diagram shows the extreme heat events of the period from 1955 to 2020.   \n",
    "We notice that at the summer of 2012, the percentage of extreme events exceeded the 50%.  \n",
    "The extreme heat percentages of most years are over the baseline period (1974-1999)."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ed2b39c4",
   "metadata": {},
   "source": [
    "### Q5: Precipitation"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "52a322b6",
   "metadata": {},
   "source": [
    "* First of all, we copy the data at the DataFrame called `rain`, in order to edit them without altering the initial ones.\n",
    "* We add a column called `YEAR` containing the year of each observation.\n",
    "* The column `RAINED` is of type Boolean. It contains the value `True` when that day rain has been recorded (`PRCP` > 0.0) and `False` otherwise.\n",
    "* We group the data by `YEAR`, calculating the summary of the columns and save the result at the new DataFrame called `grouped_rain`, which contains the total milimeters of rain (`PRCP`) and the number of the days that rained (`RAINED`) for each year."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "fbb8a8ec",
   "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>PRCP</th>\n",
       "      <th>RAINED</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>YEAR</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1955</th>\n",
       "      <td>547.370</td>\n",
       "      <td>67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1956</th>\n",
       "      <td>281.432</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1957</th>\n",
       "      <td>302.514</td>\n",
       "      <td>66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1958</th>\n",
       "      <td>350.266</td>\n",
       "      <td>65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1959</th>\n",
       "      <td>213.868</td>\n",
       "      <td>57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016</th>\n",
       "      <td>261.332</td>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017</th>\n",
       "      <td>304.396</td>\n",
       "      <td>48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018</th>\n",
       "      <td>380.422</td>\n",
       "      <td>55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019</th>\n",
       "      <td>570.230</td>\n",
       "      <td>58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020</th>\n",
       "      <td>210.312</td>\n",
       "      <td>38</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>66 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         PRCP  RAINED\n",
       "YEAR                 \n",
       "1955  547.370      67\n",
       "1956  281.432      50\n",
       "1957  302.514      66\n",
       "1958  350.266      65\n",
       "1959  213.868      57\n",
       "...       ...     ...\n",
       "2016  261.332      42\n",
       "2017  304.396      48\n",
       "2018  380.422      55\n",
       "2019  570.230      58\n",
       "2020  210.312      38\n",
       "\n",
       "[66 rows x 2 columns]"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rain = data_hellinikon.copy()\n",
    "del rain['TAVG']\n",
    "rain['YEAR'] = rain.DATE.dt.year\n",
    "rain['RAINED'] = [(x>0.0) for x in rain.PRCP]\n",
    "grouped_rain = rain.groupby(['YEAR']).sum()\n",
    "grouped_rain"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d711a19f",
   "metadata": {},
   "source": [
    "* At the column `BURSTS`, we save the percentage of precipitation per year by dividing the milimeters of rain with the number of rainy days.\n",
    "* At the column `ROLLING_AVG`, we calculate the 10 year rolling average of `BURSTS` per year."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "b211155f",
   "metadata": {},
   "outputs": [],
   "source": [
    "grouped_rain['BURSTS'] = grouped_rain.PRCP / grouped_rain.RAINED\n",
    "grouped_rain['ROLLING_AVG'] = grouped_rain.BURSTS.rolling(10, min_periods=1).mean()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cb38cb5a",
   "metadata": {},
   "source": [
    "**Graph**\n",
    "* We use matplotlib to design the graph.\n",
    "* At the x axis we place the years and at the y axis the milimeters of precipitation.\n",
    "* Lastly, we design the line of 10 year rolling average of the rain bursts of the period from 1955 to 2020."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "db26d5cb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='YEAR', ylabel='Precipitation, mm'>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=[15,10])\n",
    "xaxis = grouped_rain.index\n",
    "yaxis = grouped_rain.BURSTS\n",
    "plt.bar(xaxis, yaxis , color='#64C2F1')\n",
    "plt.ylabel('Precipitation, mm')\n",
    "grouped_rain.ROLLING_AVG.plot(use_index=True, color='blue')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f5ff07b4",
   "metadata": {},
   "source": [
    "#### **Comments**\n",
    "At the above diagram we notice that the milimetres of precipitation at the majority of the recorded bursts don't overcome the 10 year rolling average of 1955-2020.  \n",
    "However, there are a few exceptions with the most intense being that of 2005."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "49a19ea6",
   "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": 5
}