Trip_with_Kayak_completed.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![Kayak](https://seekvectorlogo.com/wp-content/uploads/2018/01/kayak-vector-logo.png)\n",
    "\n",
    "# Plan your trip with Kayak \n",
    "\n",
    "## Company's description 📇\n",
    "\n",
    "<a href=\"https://www.kayak.com\" target=\"_blank\">Kayak</a> is a travel search engine that helps user plan their next trip at the best price.\n",
    "\n",
    "The company was founded in 2004 by Steve Hafner & Paul M. English. After a few rounds of fundraising, Kayak was acquired by <a href=\"https://www.bookingholdings.com/\" target=\"_blank\">Booking Holdings</a> which now holds: \n",
    "\n",
    "* <a href=\"https://booking.com/\" target=\"_blank\">Booking.com</a>\n",
    "* <a href=\"https://kayak.com/\" target=\"_blank\">Kayak</a>\n",
    "* <a href=\"https://www.priceline.com/\" target=\"_blank\">Priceline</a>\n",
    "* <a href=\"https://www.agoda.com/\" target=\"_blank\">Agoda</a>\n",
    "* <a href=\"https://Rentalcars.com/\" target=\"_blank\">RentalCars</a>\n",
    "* <a href=\"https://www.opentable.com/\" target=\"_blank\">OpenTable</a>\n",
    "\n",
    "With over \\$300 million revenue a year, Kayak operates in almost all countries and all languages to help their users book travels accros the globe. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Project 🚧\n",
    "\n",
    "The marketing team needs help on a new project. After doing some user research, the team discovered that **70% of their users who are planning a trip would like to have more information about the destination they are going to**. \n",
    "\n",
    "In addition, user research shows that **people tend to be defiant about the information they are reading if they don't know the brand** which produced the content. \n",
    "\n",
    "Therefore, Kayak Marketing Team would like to create an application that will recommend where people should plan their next holidays. The application should be based on real data about:\n",
    "\n",
    "* Weather \n",
    "* Hotels in the area \n",
    "\n",
    "The application should then be able to recommend the best destinations and hotels based on the above variables at any given time. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Goals 🎯\n",
    "\n",
    "As the project has just started, your team doesn't have any data that can be used to create this application. Therefore, your job will be to: \n",
    "\n",
    "* Scrape data from destinations \n",
    "* Get weather data from each destination \n",
    "* Get hotels' info about each destination\n",
    "* Store all the information above in a data lake\n",
    "* Extract, transform and load cleaned data from your datalake to a data warehouse"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Scope of this project 🖼️\n",
    "\n",
    "Marketing team wants to focus first on the best cities to travel to in France. According to <a href=\"https://one-week-in.com/35-cities-to-visit-in-france/\" target=\"_blank\">One Week In.com</a> here are the top-35 cities to visit in France: \n",
    "\n",
    "```python \n",
    "[\"Mont Saint Michel\",\n",
    "\"St Malo\",\n",
    "\"Bayeux\",\n",
    "\"Le Havre\",\n",
    "\"Rouen\",\n",
    "\"Paris\",\n",
    "\"Amiens\",\n",
    "\"Lille\",\n",
    "\"Strasbourg\",\n",
    "\"Chateau du Haut Koenigsbourg\",\n",
    "\"Colmar\",\n",
    "\"Eguisheim\",\n",
    "\"Besancon\",\n",
    "\"Dijon\",\n",
    "\"Annecy\",\n",
    "\"Grenoble\",\n",
    "\"Lyon\",\n",
    "\"Gorges du Verdon\",\n",
    "\"Bormes les Mimosas\",\n",
    "\"Cassis\",\n",
    "\"Marseille\",\n",
    "\"Aix en Provence\",\n",
    "\"Avignon\",\n",
    "\"Uzes\",\n",
    "\"Nimes\",\n",
    "\"Aigues Mortes\",\n",
    "\"Saintes Maries de la mer\",\n",
    "\"Collioure\",\n",
    "\"Carcassonne\",\n",
    "\"Ariege\",\n",
    "\"Toulouse\",\n",
    "\"Montauban\",\n",
    "\"Biarritz\",\n",
    "\"Bayonne\",\n",
    "\"La Rochelle\"]\n",
    "```\n",
    "\n",
    "Your team should focus **only on the above cities for your project**. \n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Helpers 🦮\n",
    "\n",
    "To help you achieve this project, here are a few tips that should help you\n",
    "\n",
    "### Get weather data with an API \n",
    "\n",
    "*   Use https://nominatim.org/ to get the gps coordinates of all the cities (no subscription required) Documentation : https://nominatim.org/release-docs/develop/api/Search/\n",
    "\n",
    "*   Use https://openweathermap.org/appid (you have to subscribe to get a free apikey) and https://openweathermap.org/api/one-call-api to get some information about the weather for the 35 cities and put it in a DataFrame\n",
    "\n",
    "*   Determine the list of cities where the weather will be the nicest within the next 7 days. For example, you can use the values of daily.pop and daily.rain to compute the expected volume of rain within the next 7 days... But it's only an example, actually you can have different opinions on a what a nice weather would be like 😎 Maybe the most important criterion for you is the temperature or humidity, so feel free to change the rules !\n",
    "\n",
    "*   Save all the results in a `.csv` file, you will use it later 😉 You can save all the informations that seem important to you ! Don't forget to save the name of the cities, and also to create a column containing a unique identifier (id) of each city (this is important for what's next in the project)\n",
    "\n",
    "*   Use plotly to display the best destinations on a map\n",
    "\n",
    "### Scrape Booking.com \n",
    "\n",
    "Since BookingHoldings doesn't have aggregated databases, it will be much faster to scrape data directly from booking.com \n",
    "\n",
    "You can scrap as many information as you want, but we suggest that you get at least:\n",
    "\n",
    "*   hotel name,\n",
    "*   Url to its booking.com page,\n",
    "*   Its coordinates: latitude and longitude\n",
    "*   Score given by the website users\n",
    "*   Text description of the hotel\n",
    "\n",
    "\n",
    "### Create your data lake using S3 \n",
    "\n",
    "Once you managed to build your dataset, you should store into S3 as a csv file. \n",
    "\n",
    "### ETL \n",
    "\n",
    "Once you uploaded your data onto S3, it will be better for the next data analysis team to extract clean data directly from a Data Warehouse. Therefore, create a SQL Database using AWS RDS, extract your data from S3 and store it in your newly created DB. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Getting the gps coordinates of one city"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Deliverable 📬\n",
    "\n",
    "To complete this project, your team should deliver:\n",
    "\n",
    "* A `.csv` file in an S3 bucket containing enriched information about weather and hotels for each french city\n",
    "\n",
    "* A SQL Database where we should be able to get the same cleaned data from S3 \n",
    "\n",
    "* Two maps where you should have a Top-5 destinations and a Top-20 hotels in the area. You can use plotly or any other library to do so. It should look something like this: \n",
    "\n",
    "![Map](https://full-stack-assets.s3.eu-west-3.amazonaws.com/images/Kayak_best_destination_project.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Part I : retrieving gps coordinates of the 35 given cities from nominatim.org's API"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Installing plotly and importing the adequate librairies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: plotly in /opt/conda/lib/python3.8/site-packages (5.3.1)\n",
      "Requirement already satisfied: six in /opt/conda/lib/python3.8/site-packages (from plotly) (1.15.0)\n",
      "Requirement already satisfied: tenacity>=6.2.0 in /opt/conda/lib/python3.8/site-packages (from plotly) (8.0.1)\n"
     ]
    }
   ],
   "source": [
    "!pip install plotly"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import requests\n",
    "import json\n",
    "import plotly.express as px\n",
    "import plotly.graph_objects as go\n",
    "import plotly.io as pio\n",
    "pio.renderers.default = \"iframe_connected\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Test to get the gps coordinates of one French city from nominatim.org's API"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Parameters used to get the best API response : country = fr, format = json and limit = 1 (for the most relevant result)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Response [200]>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "response_one_city = requests.get(\"https://nominatim.openstreetmap.org/search?q=Paris&country=fr&format=json&limit=1\")\n",
    "response_one_city"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Print the content of the variable \"response_one_city\" and verify some information for the next steps"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{'place_id': 281739181,\n",
       "  'licence': 'Data © OpenStreetMap contributors, ODbL 1.0. https://osm.org/copyright',\n",
       "  'osm_type': 'relation',\n",
       "  'osm_id': 7444,\n",
       "  'boundingbox': ['48.8155755', '48.902156', '2.224122', '2.4697602'],\n",
       "  'lat': '48.8588897',\n",
       "  'lon': '2.3200410217200766',\n",
       "  'display_name': 'Paris, Île-de-France, France métropolitaine, France',\n",
       "  'class': 'boundary',\n",
       "  'type': 'administrative',\n",
       "  'importance': 0.9417101715588673,\n",
       "  'icon': 'https://nominatim.openstreetmap.org/ui/mapicons//poi_boundary_administrative.p.20.png'}]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "response_one_city.json()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "48.8588897\n",
      "2.3200410217200766\n"
     ]
    }
   ],
   "source": [
    "print(response_one_city.json()[0][\"lat\"])\n",
    "print(response_one_city.json()[0][\"lon\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Extracting and storing the keys of the \"response_one_city\" variable in \"response_keys_coordinates\" for later use"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['place_id', 'licence', 'osm_type', 'osm_id', 'boundingbox', 'lat', 'lon', 'display_name', 'class', 'type', 'importance', 'icon'])"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "response_keys_coordinates = response_one_city.json()[0].keys()\n",
    "response_keys_coordinates"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Build a list with the 35 cities given in the project description"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "cities = [\"Le Mont Saint Michel\", \"St Malo\", \"Bayeux\", \"Le Havre\", \"Rouen\", \"Paris\", \"Amiens\",\n",
    "\"Lille\", \"Strasbourg\", \"Chateau du Haut Koenigsbourg\", \"Colmar\", \"Eguisheim\", \"Besancon\",\n",
    "\"Dijon\", \"Annecy\", \"Grenoble\", \"Lyon\", \"Gorges du Verdon\", \"Bormes les Mimosas\", \"Cassis\",\n",
    "\"Marseille\", \"Aix en Provence\", \"Avignon\", \"Uzes\", \"Nimes\", \"Aigues Mortes\", \"Saintes Maries de la mer\",\n",
    "\"Collioure\", \"Carcassonne\", \"Ariege\", \"Toulouse\", \"Montauban\", \"Biarritz\", \"Bayonne\", \"La Rochelle\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Analysis of the API response shows that spaces are replaced by + signs in the API requests"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Cleaning and formatting the list of 35 cities before use in the API requests"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "list_cities = []\n",
    "for city in cities:\n",
    "    new_city = (city).split(\" \")\n",
    "    new_city = \"+\".join(new_city)\n",
    "    list_cities.append(new_city)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Verifying the newly formatted list to see if all spaces have been correctly replaced by the \"+\" sign"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Le+Mont+Saint+Michel',\n",
       " 'St+Malo',\n",
       " 'Bayeux',\n",
       " 'Le+Havre',\n",
       " 'Rouen',\n",
       " 'Paris',\n",
       " 'Amiens',\n",
       " 'Lille',\n",
       " 'Strasbourg',\n",
       " 'Chateau+du+Haut+Koenigsbourg',\n",
       " 'Colmar',\n",
       " 'Eguisheim',\n",
       " 'Besancon',\n",
       " 'Dijon',\n",
       " 'Annecy',\n",
       " 'Grenoble',\n",
       " 'Lyon',\n",
       " 'Gorges+du+Verdon',\n",
       " 'Bormes+les+Mimosas',\n",
       " 'Cassis',\n",
       " 'Marseille',\n",
       " 'Aix+en+Provence',\n",
       " 'Avignon',\n",
       " 'Uzes',\n",
       " 'Nimes',\n",
       " 'Aigues+Mortes',\n",
       " 'Saintes+Maries+de+la+mer',\n",
       " 'Collioure',\n",
       " 'Carcassonne',\n",
       " 'Ariege',\n",
       " 'Toulouse',\n",
       " 'Montauban',\n",
       " 'Biarritz',\n",
       " 'Bayonne',\n",
       " 'La+Rochelle']"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list_cities"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Create the \"df_cities\" dataframe and label the columns with the keys of the first json object pulled in response_one_city"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_cities = pd.DataFrame(columns = response_keys_coordinates)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### View empty dataframe with column labels only"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "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>place_id</th>\n",
       "      <th>licence</th>\n",
       "      <th>osm_type</th>\n",
       "      <th>osm_id</th>\n",
       "      <th>boundingbox</th>\n",
       "      <th>lat</th>\n",
       "      <th>lon</th>\n",
       "      <th>display_name</th>\n",
       "      <th>class</th>\n",
       "      <th>type</th>\n",
       "      <th>importance</th>\n",
       "      <th>icon</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [place_id, licence, osm_type, osm_id, boundingbox, lat, lon, display_name, class, type, importance, icon]\n",
       "Index: []"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_cities"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Iterating on the cities list to send requests to the API and stock the data collected in the dataframe df_cities"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Information on Le+Mont+Saint+Michel pulled\n",
      "Information on St+Malo pulled\n",
      "Information on Bayeux pulled\n",
      "Information on Le+Havre pulled\n",
      "Information on Rouen pulled\n",
      "Information on Paris pulled\n",
      "Information on Amiens pulled\n",
      "Information on Lille pulled\n",
      "Information on Strasbourg pulled\n",
      "Information on Chateau+du+Haut+Koenigsbourg pulled\n",
      "Information on Colmar pulled\n",
      "Information on Eguisheim pulled\n",
      "Information on Besancon pulled\n",
      "Information on Dijon pulled\n",
      "Information on Annecy pulled\n",
      "Information on Grenoble pulled\n",
      "Information on Lyon pulled\n",
      "Information on Gorges+du+Verdon pulled\n",
      "Information on Bormes+les+Mimosas pulled\n",
      "Information on Cassis pulled\n",
      "Information on Marseille pulled\n",
      "Information on Aix+en+Provence pulled\n",
      "Information on Avignon pulled\n",
      "Information on Uzes pulled\n",
      "Information on Nimes pulled\n",
      "Information on Aigues+Mortes pulled\n",
      "Information on Saintes+Maries+de+la+mer pulled\n",
      "Information on Collioure pulled\n",
      "Information on Carcassonne pulled\n",
      "Information on Ariege pulled\n",
      "Information on Toulouse pulled\n",
      "Information on Montauban pulled\n",
      "Information on Biarritz pulled\n",
      "Information on Bayonne pulled\n",
      "Information on La+Rochelle pulled\n"
     ]
    }
   ],
   "source": [
    "for list_city in list_cities:\n",
    "    info_city = requests.get(\"https://nominatim.openstreetmap.org/search?q={} \\\n",
    "    &country=fr&format=json&limit=1\".format(list_city))\n",
    "    df_cities = df_cities.append(info_city.json(), ignore_index = True)\n",
    "    print(\"Information on {} pulled\".format(list_city))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Verify if all the required data about the 35 French cities has been properly retrieved from the API"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "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>display_name</th>\n",
       "      <th>lat</th>\n",
       "      <th>lon</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Le Mont-Saint-Michel, Avranches, Manche, Norma...</td>\n",
       "      <td>48.6355232</td>\n",
       "      <td>-1.5102571</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Saint-Malo, Ille-et-Vilaine, Bretagne, France ...</td>\n",
       "      <td>48.649518</td>\n",
       "      <td>-2.0260409</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Bayeux, Calvados, Normandie, France métropolit...</td>\n",
       "      <td>49.2764624</td>\n",
       "      <td>-0.7024738</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Le Havre, Seine-Maritime, Normandie, France mé...</td>\n",
       "      <td>49.4938975</td>\n",
       "      <td>0.1079732</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Rouen, Seine-Maritime, Normandie, France métro...</td>\n",
       "      <td>49.4404591</td>\n",
       "      <td>1.0939658</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Paris, Île-de-France, France métropolitaine, F...</td>\n",
       "      <td>48.8588897</td>\n",
       "      <td>2.3200410217200766</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Amiens, Somme, Hauts-de-France, France métropo...</td>\n",
       "      <td>49.8941708</td>\n",
       "      <td>2.2956951</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Lille, Nord, Hauts-de-France, France métropoli...</td>\n",
       "      <td>50.6365654</td>\n",
       "      <td>3.0635282</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Strasbourg, Bas-Rhin, Grand Est, France métrop...</td>\n",
       "      <td>48.584614</td>\n",
       "      <td>7.7507127</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Château du Haut-Kœnigsbourg, Chemin fermé suit...</td>\n",
       "      <td>48.249489800000006</td>\n",
       "      <td>7.34429620253195</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Colmar, Colmar-Ribeauvillé, Haut-Rhin, Grand E...</td>\n",
       "      <td>48.0777517</td>\n",
       "      <td>7.3579641</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Eguisheim, Colmar-Ribeauvillé, Haut-Rhin, Gran...</td>\n",
       "      <td>48.0447968</td>\n",
       "      <td>7.3079618</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Besançon, Doubs, Bourgogne-Franche-Comté, Fran...</td>\n",
       "      <td>47.2380222</td>\n",
       "      <td>6.0243622</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Dijon, Côte-d'Or, Bourgogne-Franche-Comté, Fra...</td>\n",
       "      <td>47.3215806</td>\n",
       "      <td>5.0414701</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Annecy, Haute-Savoie, Auvergne-Rhône-Alpes, Fr...</td>\n",
       "      <td>45.8992348</td>\n",
       "      <td>6.1288847</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Grenoble, Isère, Auvergne-Rhône-Alpes, France ...</td>\n",
       "      <td>45.1875602</td>\n",
       "      <td>5.7357819</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Lyon, Métropole de Lyon, Circonscription dépar...</td>\n",
       "      <td>45.7578137</td>\n",
       "      <td>4.8320114</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Gorges du Verdon, Route des Crêtes, Les Ferrai...</td>\n",
       "      <td>43.7496562</td>\n",
       "      <td>6.3285616</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Bormes-les-Mimosas, Toulon, Var, Provence-Alpe...</td>\n",
       "      <td>43.1506968</td>\n",
       "      <td>6.3419285</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Cassis, Marseille, Bouches-du-Rhône, Provence-...</td>\n",
       "      <td>43.2140359</td>\n",
       "      <td>5.5396318</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Marseille, Bouches-du-Rhône, Provence-Alpes-Cô...</td>\n",
       "      <td>43.2961743</td>\n",
       "      <td>5.3699525</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Aix-en-Provence, Bouches-du-Rhône, Provence-Al...</td>\n",
       "      <td>43.5298424</td>\n",
       "      <td>5.4474738</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Avignon, Vaucluse, Provence-Alpes-Côte d'Azur,...</td>\n",
       "      <td>43.9492493</td>\n",
       "      <td>4.8059012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Uzès, Nîmes, Gard, Occitanie, France métropoli...</td>\n",
       "      <td>44.0121279</td>\n",
       "      <td>4.4196718</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Nîmes, Gard, Occitanie, France métropolitaine,...</td>\n",
       "      <td>43.8374249</td>\n",
       "      <td>4.3600687</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Aigues-Mortes, Nîmes, Gard, Occitanie, France ...</td>\n",
       "      <td>43.5658225</td>\n",
       "      <td>4.1912837</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Saintes-Maries-de-la-Mer, Arles, Bouches-du-Rh...</td>\n",
       "      <td>43.4522771</td>\n",
       "      <td>4.4287172</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Collioure, Céret, Pyrénées-Orientales, Occitan...</td>\n",
       "      <td>42.52505</td>\n",
       "      <td>3.0831554</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Carcassonne, Aude, Occitanie, France métropoli...</td>\n",
       "      <td>43.2130358</td>\n",
       "      <td>2.3491069</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Ariège, Occitanie, France métropolitaine, France</td>\n",
       "      <td>42.9455368</td>\n",
       "      <td>1.4065544156065486</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Toulouse, Haute-Garonne, Occitanie, France mét...</td>\n",
       "      <td>43.6044622</td>\n",
       "      <td>1.4442469</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Montauban, Tarn-et-Garonne, Occitanie, France ...</td>\n",
       "      <td>44.0175835</td>\n",
       "      <td>1.3549991</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Biarritz, Bayonne, Pyrénées-Atlantiques, Nouve...</td>\n",
       "      <td>43.471143749999996</td>\n",
       "      <td>-1.552726590666314</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Bayonne, Pyrénées-Atlantiques, Nouvelle-Aquita...</td>\n",
       "      <td>43.4933379</td>\n",
       "      <td>-1.475099</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>La Rochelle, Charente-Maritime, Nouvelle-Aquit...</td>\n",
       "      <td>46.1591126</td>\n",
       "      <td>-1.1520434</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                         display_name                 lat  \\\n",
       "0   Le Mont-Saint-Michel, Avranches, Manche, Norma...          48.6355232   \n",
       "1   Saint-Malo, Ille-et-Vilaine, Bretagne, France ...           48.649518   \n",
       "2   Bayeux, Calvados, Normandie, France métropolit...          49.2764624   \n",
       "3   Le Havre, Seine-Maritime, Normandie, France mé...          49.4938975   \n",
       "4   Rouen, Seine-Maritime, Normandie, France métro...          49.4404591   \n",
       "5   Paris, Île-de-France, France métropolitaine, F...          48.8588897   \n",
       "6   Amiens, Somme, Hauts-de-France, France métropo...          49.8941708   \n",
       "7   Lille, Nord, Hauts-de-France, France métropoli...          50.6365654   \n",
       "8   Strasbourg, Bas-Rhin, Grand Est, France métrop...           48.584614   \n",
       "9   Château du Haut-Kœnigsbourg, Chemin fermé suit...  48.249489800000006   \n",
       "10  Colmar, Colmar-Ribeauvillé, Haut-Rhin, Grand E...          48.0777517   \n",
       "11  Eguisheim, Colmar-Ribeauvillé, Haut-Rhin, Gran...          48.0447968   \n",
       "12  Besançon, Doubs, Bourgogne-Franche-Comté, Fran...          47.2380222   \n",
       "13  Dijon, Côte-d'Or, Bourgogne-Franche-Comté, Fra...          47.3215806   \n",
       "14  Annecy, Haute-Savoie, Auvergne-Rhône-Alpes, Fr...          45.8992348   \n",
       "15  Grenoble, Isère, Auvergne-Rhône-Alpes, France ...          45.1875602   \n",
       "16  Lyon, Métropole de Lyon, Circonscription dépar...          45.7578137   \n",
       "17  Gorges du Verdon, Route des Crêtes, Les Ferrai...          43.7496562   \n",
       "18  Bormes-les-Mimosas, Toulon, Var, Provence-Alpe...          43.1506968   \n",
       "19  Cassis, Marseille, Bouches-du-Rhône, Provence-...          43.2140359   \n",
       "20  Marseille, Bouches-du-Rhône, Provence-Alpes-Cô...          43.2961743   \n",
       "21  Aix-en-Provence, Bouches-du-Rhône, Provence-Al...          43.5298424   \n",
       "22  Avignon, Vaucluse, Provence-Alpes-Côte d'Azur,...          43.9492493   \n",
       "23  Uzès, Nîmes, Gard, Occitanie, France métropoli...          44.0121279   \n",
       "24  Nîmes, Gard, Occitanie, France métropolitaine,...          43.8374249   \n",
       "25  Aigues-Mortes, Nîmes, Gard, Occitanie, France ...          43.5658225   \n",
       "26  Saintes-Maries-de-la-Mer, Arles, Bouches-du-Rh...          43.4522771   \n",
       "27  Collioure, Céret, Pyrénées-Orientales, Occitan...            42.52505   \n",
       "28  Carcassonne, Aude, Occitanie, France métropoli...          43.2130358   \n",
       "29   Ariège, Occitanie, France métropolitaine, France          42.9455368   \n",
       "30  Toulouse, Haute-Garonne, Occitanie, France mét...          43.6044622   \n",
       "31  Montauban, Tarn-et-Garonne, Occitanie, France ...          44.0175835   \n",
       "32  Biarritz, Bayonne, Pyrénées-Atlantiques, Nouve...  43.471143749999996   \n",
       "33  Bayonne, Pyrénées-Atlantiques, Nouvelle-Aquita...          43.4933379   \n",
       "34  La Rochelle, Charente-Maritime, Nouvelle-Aquit...          46.1591126   \n",
       "\n",
       "                   lon  \n",
       "0           -1.5102571  \n",
       "1           -2.0260409  \n",
       "2           -0.7024738  \n",
       "3            0.1079732  \n",
       "4            1.0939658  \n",
       "5   2.3200410217200766  \n",
       "6            2.2956951  \n",
       "7            3.0635282  \n",
       "8            7.7507127  \n",
       "9     7.34429620253195  \n",
       "10           7.3579641  \n",
       "11           7.3079618  \n",
       "12           6.0243622  \n",
       "13           5.0414701  \n",
       "14           6.1288847  \n",
       "15           5.7357819  \n",
       "16           4.8320114  \n",
       "17           6.3285616  \n",
       "18           6.3419285  \n",
       "19           5.5396318  \n",
       "20           5.3699525  \n",
       "21           5.4474738  \n",
       "22           4.8059012  \n",
       "23           4.4196718  \n",
       "24           4.3600687  \n",
       "25           4.1912837  \n",
       "26           4.4287172  \n",
       "27           3.0831554  \n",
       "28           2.3491069  \n",
       "29  1.4065544156065486  \n",
       "30           1.4442469  \n",
       "31           1.3549991  \n",
       "32  -1.552726590666314  \n",
       "33           -1.475099  \n",
       "34          -1.1520434  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_cities.loc[:, [\"display_name\",\"lat\",\"lon\"]]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Splitting the \"display_name\" column and keeping only the first part of the string which corresponds to the city's name"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_cities[\"display_name\"] = df_cities[\"display_name\"].str.split(',').str[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "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>place_id</th>\n",
       "      <th>licence</th>\n",
       "      <th>osm_type</th>\n",
       "      <th>osm_id</th>\n",
       "      <th>boundingbox</th>\n",
       "      <th>lat</th>\n",
       "      <th>lon</th>\n",
       "      <th>display_name</th>\n",
       "      <th>class</th>\n",
       "      <th>type</th>\n",
       "      <th>importance</th>\n",
       "      <th>icon</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>282273222</td>\n",
       "      <td>Data © OpenStreetMap contributors, ODbL 1.0. h...</td>\n",
       "      <td>relation</td>\n",
       "      <td>376823</td>\n",
       "      <td>[48.6119741, 48.637031, -1.5495487, -1.5094796]</td>\n",
       "      <td>48.6355232</td>\n",
       "      <td>-1.5102571</td>\n",
       "      <td>Le Mont-Saint-Michel</td>\n",
       "      <td>boundary</td>\n",
       "      <td>administrative</td>\n",
       "      <td>0.951274</td>\n",
       "      <td>https://nominatim.openstreetmap.org/ui/mapicon...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>282098015</td>\n",
       "      <td>Data © OpenStreetMap contributors, ODbL 1.0. h...</td>\n",
       "      <td>relation</td>\n",
       "      <td>905534</td>\n",
       "      <td>[48.5979853, 48.6949736, -2.0765246, -1.9367259]</td>\n",
       "      <td>48.649518</td>\n",
       "      <td>-2.0260409</td>\n",
       "      <td>Saint-Malo</td>\n",
       "      <td>boundary</td>\n",
       "      <td>administrative</td>\n",
       "      <td>0.676467</td>\n",
       "      <td>https://nominatim.openstreetmap.org/ui/mapicon...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    place_id                                            licence  osm_type  \\\n",
       "0  282273222  Data © OpenStreetMap contributors, ODbL 1.0. h...  relation   \n",
       "1  282098015  Data © OpenStreetMap contributors, ODbL 1.0. h...  relation   \n",
       "\n",
       "   osm_id                                       boundingbox         lat  \\\n",
       "0  376823   [48.6119741, 48.637031, -1.5495487, -1.5094796]  48.6355232   \n",
       "1  905534  [48.5979853, 48.6949736, -2.0765246, -1.9367259]   48.649518   \n",
       "\n",
       "          lon          display_name     class            type  importance  \\\n",
       "0  -1.5102571  Le Mont-Saint-Michel  boundary  administrative    0.951274   \n",
       "1  -2.0260409            Saint-Malo  boundary  administrative    0.676467   \n",
       "\n",
       "                                                icon  \n",
       "0  https://nominatim.openstreetmap.org/ui/mapicon...  \n",
       "1  https://nominatim.openstreetmap.org/ui/mapicon...  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_cities.head(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Create a subset of the \"df_cities\" dataframe for further processing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_cities_clean = df_cities.loc[:, [\"display_name\",\"lat\",\"lon\"]]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Take a look at the \"df_cities\" dataframe created with the code in the previous cell"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "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>display_name</th>\n",
       "      <th>lat</th>\n",
       "      <th>lon</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Le Mont-Saint-Michel</td>\n",
       "      <td>48.6355232</td>\n",
       "      <td>-1.5102571</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Saint-Malo</td>\n",
       "      <td>48.649518</td>\n",
       "      <td>-2.0260409</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Bayeux</td>\n",
       "      <td>49.2764624</td>\n",
       "      <td>-0.7024738</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Le Havre</td>\n",
       "      <td>49.4938975</td>\n",
       "      <td>0.1079732</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Rouen</td>\n",
       "      <td>49.4404591</td>\n",
       "      <td>1.0939658</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           display_name         lat         lon\n",
       "0  Le Mont-Saint-Michel  48.6355232  -1.5102571\n",
       "1            Saint-Malo   48.649518  -2.0260409\n",
       "2                Bayeux  49.2764624  -0.7024738\n",
       "3              Le Havre  49.4938975   0.1079732\n",
       "4                 Rouen  49.4404591   1.0939658"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_cities_clean.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Renaming correctly the columns of the \"df_cities_clean\" dataframe for further processing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_cities_clean.columns = [\"City\", \"Latitude\", \"Longitude\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Verifying that the columns of the \"df_cities_clean\" dataframe have been correctly renamed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['City', 'Latitude', 'Longitude'], dtype='object')"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_cities_clean.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Verifying the types of the columns of the \"df_cities_clean\" dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "City         object\n",
       "Latitude     object\n",
       "Longitude    object\n",
       "dtype: object"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_cities_clean.dtypes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Changing the types of the \"Latitude\" and \"Longitude\" columns of the \"df_cities_clean\" dataframe to numeric for further processing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_cities_clean[\"Latitude\"] = pd.to_numeric(df_cities_clean[\"Latitude\"])\n",
    "df_cities_clean[\"Longitude\"] = pd.to_numeric(df_cities_clean[\"Longitude\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Checking that the types of the \"Latitude\" and \"Longitude\" columns of the \"df_cities_clean\" dataframe have been properly changed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "City          object\n",
       "Latitude     float64\n",
       "Longitude    float64\n",
       "dtype: object"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_cities_clean.dtypes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Rounding the \"Latitude\" and \"Longitude\" columns of the \"df_cities_clean\" dataframe to 6 decimal places"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_cities_clean[\"Latitude\"] = round(df_cities_clean[\"Latitude\"], 4)\n",
    "df_cities_clean[\"Longitude\"] = round(df_cities_clean[\"Longitude\"], 4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "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>City</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Le Mont-Saint-Michel</td>\n",
       "      <td>48.6355</td>\n",
       "      <td>-1.5103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Saint-Malo</td>\n",
       "      <td>48.6495</td>\n",
       "      <td>-2.0260</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Bayeux</td>\n",
       "      <td>49.2765</td>\n",
       "      <td>-0.7025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Le Havre</td>\n",
       "      <td>49.4939</td>\n",
       "      <td>0.1080</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Rouen</td>\n",
       "      <td>49.4405</td>\n",
       "      <td>1.0940</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   City  Latitude  Longitude\n",
       "0  Le Mont-Saint-Michel   48.6355    -1.5103\n",
       "1            Saint-Malo   48.6495    -2.0260\n",
       "2                Bayeux   49.2765    -0.7025\n",
       "3              Le Havre   49.4939     0.1080\n",
       "4                 Rouen   49.4405     1.0940"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_cities_clean.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "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>City</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Toulouse</td>\n",
       "      <td>43.6045</td>\n",
       "      <td>1.4442</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Montauban</td>\n",
       "      <td>44.0176</td>\n",
       "      <td>1.3550</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Biarritz</td>\n",
       "      <td>43.4711</td>\n",
       "      <td>-1.5527</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Bayonne</td>\n",
       "      <td>43.4933</td>\n",
       "      <td>-1.4751</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>La Rochelle</td>\n",
       "      <td>46.1591</td>\n",
       "      <td>-1.1520</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           City  Latitude  Longitude\n",
       "30     Toulouse   43.6045     1.4442\n",
       "31    Montauban   44.0176     1.3550\n",
       "32     Biarritz   43.4711    -1.5527\n",
       "33      Bayonne   43.4933    -1.4751\n",
       "34  La Rochelle   46.1591    -1.1520"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_cities_clean.tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Part II : retrieving weather data from the openweathermap API "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Retrieve weather information of Paris with the gps coordinates of the \"df_cities_clean\" dataframe"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### The current, minutely and hourly parts of the weather data have been excluded and API response is retrieved in the metric system "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Response [200]>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "response_paris_weather = requests.get(\"https://api.openweathermap.org/data/2.5/onecall?lat=48.8566969&\\\n",
    "lon=2.3514616&exclude=hourly,current,minutely&appid=f3f63fdc78cc24df1196ff7fe1775497&units=metric\")\n",
    "response_paris_weather"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Print the content of the variable \"response_paris_weather\" and verify its content for the next steps"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'lat': 48.8567,\n",
       " 'lon': 2.3515,\n",
       " 'timezone': 'Europe/Paris',\n",
       " 'timezone_offset': 3600,\n",
       " 'daily': [{'dt': 1636282800,\n",
       "   'sunrise': 1636267627,\n",
       "   'sunset': 1636302088,\n",
       "   'moonrise': 1636279920,\n",
       "   'moonset': 1636308600,\n",
       "   'moon_phase': 0.1,\n",
       "   'temp': {'day': 12.17,\n",
       "    'min': 8.29,\n",
       "    'max': 13.37,\n",
       "    'night': 8.63,\n",
       "    'eve': 9.78,\n",
       "    'morn': 9.4},\n",
       "   'feels_like': {'day': 11.53, 'night': 7.46, 'eve': 8.33, 'morn': 7.41},\n",
       "   'pressure': 1022,\n",
       "   'humidity': 80,\n",
       "   'dew_point': 8.61,\n",
       "   'wind_speed': 4.66,\n",
       "   'wind_deg': 299,\n",
       "   'wind_gust': 11.02,\n",
       "   'weather': [{'id': 804,\n",
       "     'main': 'Clouds',\n",
       "     'description': 'overcast clouds',\n",
       "     'icon': '04d'}],\n",
       "   'clouds': 100,\n",
       "   'pop': 0,\n",
       "   'uvi': 1.35},\n",
       "  {'dt': 1636369200,\n",
       "   'sunrise': 1636354123,\n",
       "   'sunset': 1636388401,\n",
       "   'moonrise': 1636370760,\n",
       "   'moonset': 1636398480,\n",
       "   'moon_phase': 0.14,\n",
       "   'temp': {'day': 10.41,\n",
       "    'min': 6.58,\n",
       "    'max': 11.89,\n",
       "    'night': 8.27,\n",
       "    'eve': 10.19,\n",
       "    'morn': 6.83},\n",
       "   'feels_like': {'day': 9.23, 'night': 8.27, 'eve': 9.01, 'morn': 6.83},\n",
       "   'pressure': 1025,\n",
       "   'humidity': 66,\n",
       "   'dew_point': 4.13,\n",
       "   'wind_speed': 2.32,\n",
       "   'wind_deg': 336,\n",
       "   'wind_gust': 5.29,\n",
       "   'weather': [{'id': 802,\n",
       "     'main': 'Clouds',\n",
       "     'description': 'scattered clouds',\n",
       "     'icon': '03d'}],\n",
       "   'clouds': 39,\n",
       "   'pop': 0,\n",
       "   'uvi': 1.29},\n",
       "  {'dt': 1636455600,\n",
       "   'sunrise': 1636440619,\n",
       "   'sunset': 1636474717,\n",
       "   'moonrise': 1636460700,\n",
       "   'moonset': 1636489140,\n",
       "   'moon_phase': 0.18,\n",
       "   'temp': {'day': 10.65,\n",
       "    'min': 6.61,\n",
       "    'max': 12.26,\n",
       "    'night': 8.33,\n",
       "    'eve': 10.34,\n",
       "    'morn': 6.84},\n",
       "   'feels_like': {'day': 9.31, 'night': 7.92, 'eve': 8.94, 'morn': 6.84},\n",
       "   'pressure': 1028,\n",
       "   'humidity': 59,\n",
       "   'dew_point': 2.71,\n",
       "   'wind_speed': 1.66,\n",
       "   'wind_deg': 156,\n",
       "   'wind_gust': 2.45,\n",
       "   'weather': [{'id': 800,\n",
       "     'main': 'Clear',\n",
       "     'description': 'clear sky',\n",
       "     'icon': '01d'}],\n",
       "   'clouds': 5,\n",
       "   'pop': 0,\n",
       "   'uvi': 1.33},\n",
       "  {'dt': 1636542000,\n",
       "   'sunrise': 1636527115,\n",
       "   'sunset': 1636561034,\n",
       "   'moonrise': 1636549740,\n",
       "   'moonset': 1636580100,\n",
       "   'moon_phase': 0.21,\n",
       "   'temp': {'day': 11.51,\n",
       "    'min': 6.32,\n",
       "    'max': 12.21,\n",
       "    'night': 7.9,\n",
       "    'eve': 9.45,\n",
       "    'morn': 6.52},\n",
       "   'feels_like': {'day': 10.05, 'night': 7.21, 'eve': 8.67, 'morn': 6.52},\n",
       "   'pressure': 1027,\n",
       "   'humidity': 51,\n",
       "   'dew_point': 1.64,\n",
       "   'wind_speed': 2.06,\n",
       "   'wind_deg': 61,\n",
       "   'wind_gust': 4.15,\n",
       "   'weather': [{'id': 800,\n",
       "     'main': 'Clear',\n",
       "     'description': 'clear sky',\n",
       "     'icon': '01d'}],\n",
       "   'clouds': 6,\n",
       "   'pop': 0,\n",
       "   'uvi': 1.28},\n",
       "  {'dt': 1636628400,\n",
       "   'sunrise': 1636613611,\n",
       "   'sunset': 1636647353,\n",
       "   'moonrise': 1636638060,\n",
       "   'moonset': 1636671180,\n",
       "   'moon_phase': 0.25,\n",
       "   'temp': {'day': 10.8,\n",
       "    'min': 5.57,\n",
       "    'max': 11.46,\n",
       "    'night': 6.95,\n",
       "    'eve': 8.42,\n",
       "    'morn': 5.57},\n",
       "   'feels_like': {'day': 9.19, 'night': 6.95, 'eve': 7.54, 'morn': 4.57},\n",
       "   'pressure': 1024,\n",
       "   'humidity': 48,\n",
       "   'dew_point': 0.16,\n",
       "   'wind_speed': 2.51,\n",
       "   'wind_deg': 78,\n",
       "   'wind_gust': 4.58,\n",
       "   'weather': [{'id': 800,\n",
       "     'main': 'Clear',\n",
       "     'description': 'clear sky',\n",
       "     'icon': '01d'}],\n",
       "   'clouds': 4,\n",
       "   'pop': 0,\n",
       "   'uvi': 1.23},\n",
       "  {'dt': 1636714800,\n",
       "   'sunrise': 1636700106,\n",
       "   'sunset': 1636733674,\n",
       "   'moonrise': 1636725900,\n",
       "   'moonset': 0,\n",
       "   'moon_phase': 0.28,\n",
       "   'temp': {'day': 10.51,\n",
       "    'min': 4.94,\n",
       "    'max': 11.5,\n",
       "    'night': 8.22,\n",
       "    'eve': 9.29,\n",
       "    'morn': 4.94},\n",
       "   'feels_like': {'day': 8.87, 'night': 6.57, 'eve': 7.73, 'morn': 4.94},\n",
       "   'pressure': 1014,\n",
       "   'humidity': 48,\n",
       "   'dew_point': -0.28,\n",
       "   'wind_speed': 2.89,\n",
       "   'wind_deg': 235,\n",
       "   'wind_gust': 8.71,\n",
       "   'weather': [{'id': 800,\n",
       "     'main': 'Clear',\n",
       "     'description': 'clear sky',\n",
       "     'icon': '01d'}],\n",
       "   'clouds': 0,\n",
       "   'pop': 0,\n",
       "   'uvi': 2},\n",
       "  {'dt': 1636801200,\n",
       "   'sunrise': 1636786601,\n",
       "   'sunset': 1636819997,\n",
       "   'moonrise': 1636813500,\n",
       "   'moonset': 1636762140,\n",
       "   'moon_phase': 0.31,\n",
       "   'temp': {'day': 9.14,\n",
       "    'min': 7.88,\n",
       "    'max': 9.65,\n",
       "    'night': 9.19,\n",
       "    'eve': 8.94,\n",
       "    'morn': 7.98},\n",
       "   'feels_like': {'day': 7.48, 'night': 7.21, 'eve': 6.91, 'morn': 5.48},\n",
       "   'pressure': 1009,\n",
       "   'humidity': 87,\n",
       "   'dew_point': 6.94,\n",
       "   'wind_speed': 4.82,\n",
       "   'wind_deg': 288,\n",
       "   'wind_gust': 9.7,\n",
       "   'weather': [{'id': 500,\n",
       "     'main': 'Rain',\n",
       "     'description': 'light rain',\n",
       "     'icon': '10d'}],\n",
       "   'clouds': 100,\n",
       "   'pop': 0.98,\n",
       "   'rain': 4.72,\n",
       "   'uvi': 2},\n",
       "  {'dt': 1636887600,\n",
       "   'sunrise': 1636873095,\n",
       "   'sunset': 1636906322,\n",
       "   'moonrise': 1636900920,\n",
       "   'moonset': 1636852860,\n",
       "   'moon_phase': 0.35,\n",
       "   'temp': {'day': 10.87,\n",
       "    'min': 6.56,\n",
       "    'max': 11.28,\n",
       "    'night': 9.1,\n",
       "    'eve': 9.54,\n",
       "    'morn': 6.56},\n",
       "   'feels_like': {'day': 9.81, 'night': 8.58, 'eve': 9.1, 'morn': 6.56},\n",
       "   'pressure': 1018,\n",
       "   'humidity': 69,\n",
       "   'dew_point': 5.27,\n",
       "   'wind_speed': 2.27,\n",
       "   'wind_deg': 316,\n",
       "   'wind_gust': 4.99,\n",
       "   'weather': [{'id': 801,\n",
       "     'main': 'Clouds',\n",
       "     'description': 'few clouds',\n",
       "     'icon': '02d'}],\n",
       "   'clouds': 16,\n",
       "   'pop': 0,\n",
       "   'uvi': 2}]}"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "response_paris_weather.json()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Print the content of the variable \"response_paris_weather\" in an easier-to-read format for further processing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pprint"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'daily': [{'clouds': 100,\n",
      "            'dew_point': 8.61,\n",
      "            'dt': 1636282800,\n",
      "            'feels_like': {'day': 11.53,\n",
      "                           'eve': 8.33,\n",
      "                           'morn': 7.41,\n",
      "                           'night': 7.46},\n",
      "            'humidity': 80,\n",
      "            'moon_phase': 0.1,\n",
      "            'moonrise': 1636279920,\n",
      "            'moonset': 1636308600,\n",
      "            'pop': 0,\n",
      "            'pressure': 1022,\n",
      "            'sunrise': 1636267627,\n",
      "            'sunset': 1636302088,\n",
      "            'temp': {'day': 12.17,\n",
      "                     'eve': 9.78,\n",
      "                     'max': 13.37,\n",
      "                     'min': 8.29,\n",
      "                     'morn': 9.4,\n",
      "                     'night': 8.63},\n",
      "            'uvi': 1.35,\n",
      "            'weather': [{'description': 'overcast clouds',\n",
      "                         'icon': '04d',\n",
      "                         'id': 804,\n",
      "                         'main': 'Clouds'}],\n",
      "            'wind_deg': 299,\n",
      "            'wind_gust': 11.02,\n",
      "            'wind_speed': 4.66},\n",
      "           {'clouds': 39,\n",
      "            'dew_point': 4.13,\n",
      "            'dt': 1636369200,\n",
      "            'feels_like': {'day': 9.23,\n",
      "                           'eve': 9.01,\n",
      "                           'morn': 6.83,\n",
      "                           'night': 8.27},\n",
      "            'humidity': 66,\n",
      "            'moon_phase': 0.14,\n",
      "            'moonrise': 1636370760,\n",
      "            'moonset': 1636398480,\n",
      "            'pop': 0,\n",
      "            'pressure': 1025,\n",
      "            'sunrise': 1636354123,\n",
      "            'sunset': 1636388401,\n",
      "            'temp': {'day': 10.41,\n",
      "                     'eve': 10.19,\n",
      "                     'max': 11.89,\n",
      "                     'min': 6.58,\n",
      "                     'morn': 6.83,\n",
      "                     'night': 8.27},\n",
      "            'uvi': 1.29,\n",
      "            'weather': [{'description': 'scattered clouds',\n",
      "                         'icon': '03d',\n",
      "                         'id': 802,\n",
      "                         'main': 'Clouds'}],\n",
      "            'wind_deg': 336,\n",
      "            'wind_gust': 5.29,\n",
      "            'wind_speed': 2.32},\n",
      "           {'clouds': 5,\n",
      "            'dew_point': 2.71,\n",
      "            'dt': 1636455600,\n",
      "            'feels_like': {'day': 9.31,\n",
      "                           'eve': 8.94,\n",
      "                           'morn': 6.84,\n",
      "                           'night': 7.92},\n",
      "            'humidity': 59,\n",
      "            'moon_phase': 0.18,\n",
      "            'moonrise': 1636460700,\n",
      "            'moonset': 1636489140,\n",
      "            'pop': 0,\n",
      "            'pressure': 1028,\n",
      "            'sunrise': 1636440619,\n",
      "            'sunset': 1636474717,\n",
      "            'temp': {'day': 10.65,\n",
      "                     'eve': 10.34,\n",
      "                     'max': 12.26,\n",
      "                     'min': 6.61,\n",
      "                     'morn': 6.84,\n",
      "                     'night': 8.33},\n",
      "            'uvi': 1.33,\n",
      "            'weather': [{'description': 'clear sky',\n",
      "                         'icon': '01d',\n",
      "                         'id': 800,\n",
      "                         'main': 'Clear'}],\n",
      "            'wind_deg': 156,\n",
      "            'wind_gust': 2.45,\n",
      "            'wind_speed': 1.66},\n",
      "           {'clouds': 6,\n",
      "            'dew_point': 1.64,\n",
      "            'dt': 1636542000,\n",
      "            'feels_like': {'day': 10.05,\n",
      "                           'eve': 8.67,\n",
      "                           'morn': 6.52,\n",
      "                           'night': 7.21},\n",
      "            'humidity': 51,\n",
      "            'moon_phase': 0.21,\n",
      "            'moonrise': 1636549740,\n",
      "            'moonset': 1636580100,\n",
      "            'pop': 0,\n",
      "            'pressure': 1027,\n",
      "            'sunrise': 1636527115,\n",
      "            'sunset': 1636561034,\n",
      "            'temp': {'day': 11.51,\n",
      "                     'eve': 9.45,\n",
      "                     'max': 12.21,\n",
      "                     'min': 6.32,\n",
      "                     'morn': 6.52,\n",
      "                     'night': 7.9},\n",
      "            'uvi': 1.28,\n",
      "            'weather': [{'description': 'clear sky',\n",
      "                         'icon': '01d',\n",
      "                         'id': 800,\n",
      "                         'main': 'Clear'}],\n",
      "            'wind_deg': 61,\n",
      "            'wind_gust': 4.15,\n",
      "            'wind_speed': 2.06},\n",
      "           {'clouds': 4,\n",
      "            'dew_point': 0.16,\n",
      "            'dt': 1636628400,\n",
      "            'feels_like': {'day': 9.19,\n",
      "                           'eve': 7.54,\n",
      "                           'morn': 4.57,\n",
      "                           'night': 6.95},\n",
      "            'humidity': 48,\n",
      "            'moon_phase': 0.25,\n",
      "            'moonrise': 1636638060,\n",
      "            'moonset': 1636671180,\n",
      "            'pop': 0,\n",
      "            'pressure': 1024,\n",
      "            'sunrise': 1636613611,\n",
      "            'sunset': 1636647353,\n",
      "            'temp': {'day': 10.8,\n",
      "                     'eve': 8.42,\n",
      "                     'max': 11.46,\n",
      "                     'min': 5.57,\n",
      "                     'morn': 5.57,\n",
      "                     'night': 6.95},\n",
      "            'uvi': 1.23,\n",
      "            'weather': [{'description': 'clear sky',\n",
      "                         'icon': '01d',\n",
      "                         'id': 800,\n",
      "                         'main': 'Clear'}],\n",
      "            'wind_deg': 78,\n",
      "            'wind_gust': 4.58,\n",
      "            'wind_speed': 2.51},\n",
      "           {'clouds': 0,\n",
      "            'dew_point': -0.28,\n",
      "            'dt': 1636714800,\n",
      "            'feels_like': {'day': 8.87,\n",
      "                           'eve': 7.73,\n",
      "                           'morn': 4.94,\n",
      "                           'night': 6.57},\n",
      "            'humidity': 48,\n",
      "            'moon_phase': 0.28,\n",
      "            'moonrise': 1636725900,\n",
      "            'moonset': 0,\n",
      "            'pop': 0,\n",
      "            'pressure': 1014,\n",
      "            'sunrise': 1636700106,\n",
      "            'sunset': 1636733674,\n",
      "            'temp': {'day': 10.51,\n",
      "                     'eve': 9.29,\n",
      "                     'max': 11.5,\n",
      "                     'min': 4.94,\n",
      "                     'morn': 4.94,\n",
      "                     'night': 8.22},\n",
      "            'uvi': 2,\n",
      "            'weather': [{'description': 'clear sky',\n",
      "                         'icon': '01d',\n",
      "                         'id': 800,\n",
      "                         'main': 'Clear'}],\n",
      "            'wind_deg': 235,\n",
      "            'wind_gust': 8.71,\n",
      "            'wind_speed': 2.89},\n",
      "           {'clouds': 100,\n",
      "            'dew_point': 6.94,\n",
      "            'dt': 1636801200,\n",
      "            'feels_like': {'day': 7.48,\n",
      "                           'eve': 6.91,\n",
      "                           'morn': 5.48,\n",
      "                           'night': 7.21},\n",
      "            'humidity': 87,\n",
      "            'moon_phase': 0.31,\n",
      "            'moonrise': 1636813500,\n",
      "            'moonset': 1636762140,\n",
      "            'pop': 0.98,\n",
      "            'pressure': 1009,\n",
      "            'rain': 4.72,\n",
      "            'sunrise': 1636786601,\n",
      "            'sunset': 1636819997,\n",
      "            'temp': {'day': 9.14,\n",
      "                     'eve': 8.94,\n",
      "                     'max': 9.65,\n",
      "                     'min': 7.88,\n",
      "                     'morn': 7.98,\n",
      "                     'night': 9.19},\n",
      "            'uvi': 2,\n",
      "            'weather': [{'description': 'light rain',\n",
      "                         'icon': '10d',\n",
      "                         'id': 500,\n",
      "                         'main': 'Rain'}],\n",
      "            'wind_deg': 288,\n",
      "            'wind_gust': 9.7,\n",
      "            'wind_speed': 4.82},\n",
      "           {'clouds': 16,\n",
      "            'dew_point': 5.27,\n",
      "            'dt': 1636887600,\n",
      "            'feels_like': {'day': 9.81,\n",
      "                           'eve': 9.1,\n",
      "                           'morn': 6.56,\n",
      "                           'night': 8.58},\n",
      "            'humidity': 69,\n",
      "            'moon_phase': 0.35,\n",
      "            'moonrise': 1636900920,\n",
      "            'moonset': 1636852860,\n",
      "            'pop': 0,\n",
      "            'pressure': 1018,\n",
      "            'sunrise': 1636873095,\n",
      "            'sunset': 1636906322,\n",
      "            'temp': {'day': 10.87,\n",
      "                     'eve': 9.54,\n",
      "                     'max': 11.28,\n",
      "                     'min': 6.56,\n",
      "                     'morn': 6.56,\n",
      "                     'night': 9.1},\n",
      "            'uvi': 2,\n",
      "            'weather': [{'description': 'few clouds',\n",
      "                         'icon': '02d',\n",
      "                         'id': 801,\n",
      "                         'main': 'Clouds'}],\n",
      "            'wind_deg': 316,\n",
      "            'wind_gust': 4.99,\n",
      "            'wind_speed': 2.27}],\n",
      " 'lat': 48.8567,\n",
      " 'lon': 2.3515,\n",
      " 'timezone': 'Europe/Paris',\n",
      " 'timezone_offset': 3600}\n"
     ]
    }
   ],
   "source": [
    "pprint.pprint(response_paris_weather.json())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Create a dataframe and label the columns with the keys of the json object pulled in response_paris_weather"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['lat', 'lon', 'timezone', 'timezone_offset', 'daily'])"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "response_keys_weather = response_paris_weather.json().keys()\n",
    "response_keys_weather"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_weather_cities = pd.DataFrame(columns = response_keys_weather)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "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>lat</th>\n",
       "      <th>lon</th>\n",
       "      <th>timezone</th>\n",
       "      <th>timezone_offset</th>\n",
       "      <th>daily</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [lat, lon, timezone, timezone_offset, daily]\n",
       "Index: []"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_weather_cities"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Converting a subset of the \"df_cities_clean\" dataframe into a list for use in a loop to retrieve weather information for each city"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "vals = df_cities_clean.loc[:, [\"City\",\"Latitude\",\"Longitude\"]].values"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Iterating on the latitude and longitude columns of the \"df_cities_clean\" dataframe to send requests to the API and stock the weather data collected in the dataframe df_weather_cities"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'La Rochelle'"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vals = df_cities_clean.values\n",
    "vals[34][0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "City = Le Mont-Saint-Michel, Latitude = 48.6355, Longitude = -1.5103\n",
      "City = Saint-Malo, Latitude = 48.6495, Longitude = -2.026\n",
      "City = Bayeux, Latitude = 49.2765, Longitude = -0.7025\n",
      "City = Le Havre, Latitude = 49.4939, Longitude = 0.108\n",
      "City = Rouen, Latitude = 49.4405, Longitude = 1.094\n",
      "City = Paris, Latitude = 48.8589, Longitude = 2.32\n",
      "City = Amiens, Latitude = 49.8942, Longitude = 2.2957\n",
      "City = Lille, Latitude = 50.6366, Longitude = 3.0635\n",
      "City = Strasbourg, Latitude = 48.5846, Longitude = 7.7507\n",
      "City = Château du Haut-Kœnigsbourg, Latitude = 48.2495, Longitude = 7.3443\n",
      "City = Colmar, Latitude = 48.0778, Longitude = 7.358\n",
      "City = Eguisheim, Latitude = 48.0448, Longitude = 7.308\n",
      "City = Besançon, Latitude = 47.238, Longitude = 6.0244\n",
      "City = Dijon, Latitude = 47.3216, Longitude = 5.0415\n",
      "City = Annecy, Latitude = 45.8992, Longitude = 6.1289\n",
      "City = Grenoble, Latitude = 45.1876, Longitude = 5.7358\n",
      "City = Lyon, Latitude = 45.7578, Longitude = 4.832\n",
      "City = Gorges du Verdon, Latitude = 43.7497, Longitude = 6.3286\n",
      "City = Bormes-les-Mimosas, Latitude = 43.1507, Longitude = 6.3419\n",
      "City = Cassis, Latitude = 43.214, Longitude = 5.5396\n",
      "City = Marseille, Latitude = 43.2962, Longitude = 5.37\n",
      "City = Aix-en-Provence, Latitude = 43.5298, Longitude = 5.4475\n",
      "City = Avignon, Latitude = 43.9492, Longitude = 4.8059\n",
      "City = Uzès, Latitude = 44.0121, Longitude = 4.4197\n",
      "City = Nîmes, Latitude = 43.8374, Longitude = 4.3601\n",
      "City = Aigues-Mortes, Latitude = 43.5658, Longitude = 4.1913\n",
      "City = Saintes-Maries-de-la-Mer, Latitude = 43.4523, Longitude = 4.4287\n",
      "City = Collioure, Latitude = 42.525, Longitude = 3.0832\n",
      "City = Carcassonne, Latitude = 43.213, Longitude = 2.3491\n",
      "City = Ariège, Latitude = 42.9455, Longitude = 1.4066\n",
      "City = Toulouse, Latitude = 43.6045, Longitude = 1.4442\n",
      "City = Montauban, Latitude = 44.0176, Longitude = 1.355\n",
      "City = Biarritz, Latitude = 43.4711, Longitude = -1.5527\n",
      "City = Bayonne, Latitude = 43.4933, Longitude = -1.4751\n",
      "City = La Rochelle, Latitude = 46.1591, Longitude = -1.152\n",
      "Everything went right while handling API response !!\n"
     ]
    }
   ],
   "source": [
    "for val in vals:\n",
    "    Latitude = val[1]\n",
    "    Longitude = val[2]\n",
    "    City = val[0]\n",
    "    print(\"City = {}, Latitude = {}, Longitude = {}\".format(City, Latitude, Longitude))\n",
    "    response_cities_weather = requests.get(\"https://api.openweathermap.org/data/2.5/onecall?lat={}&\\\n",
    "lon={}&exclude=hourly,current,minutely&appid=f3f63fdc78cc24df1196ff7fe1775497&units=metric\".format(Latitude, Longitude))\n",
    "    response_cities_weather\n",
    "    df_weather_cities = df_weather_cities.append(response_cities_weather.json(), ignore_index = True)\n",
    "if len(df_weather_cities) == 35 :\n",
    "    print(\"Everything went right while handling API response !!\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Looking if the \"df_weather_cities\" dataframe contains the relevant information"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "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>lat</th>\n",
       "      <th>lon</th>\n",
       "      <th>timezone</th>\n",
       "      <th>timezone_offset</th>\n",
       "      <th>daily</th>\n",
       "      <th>alerts</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>48.6355</td>\n",
       "      <td>-1.5103</td>\n",
       "      <td>Europe/Paris</td>\n",
       "      <td>3600</td>\n",
       "      <td>[{'dt': 1636282800, 'sunrise': 1636268519, 'su...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>48.6495</td>\n",
       "      <td>-2.0260</td>\n",
       "      <td>Europe/Paris</td>\n",
       "      <td>3600</td>\n",
       "      <td>[{'dt': 1636282800, 'sunrise': 1636268645, 'su...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>49.2765</td>\n",
       "      <td>-0.7025</td>\n",
       "      <td>Europe/Paris</td>\n",
       "      <td>3600</td>\n",
       "      <td>[{'dt': 1636282800, 'sunrise': 1636268431, 'su...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>49.4939</td>\n",
       "      <td>0.1080</td>\n",
       "      <td>Europe/Paris</td>\n",
       "      <td>3600</td>\n",
       "      <td>[{'dt': 1636282800, 'sunrise': 1636268272, 'su...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>49.4405</td>\n",
       "      <td>1.0940</td>\n",
       "      <td>Europe/Paris</td>\n",
       "      <td>3600</td>\n",
       "      <td>[{'dt': 1636282800, 'sunrise': 1636268026, 'su...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       lat     lon      timezone timezone_offset  \\\n",
       "0  48.6355 -1.5103  Europe/Paris            3600   \n",
       "1  48.6495 -2.0260  Europe/Paris            3600   \n",
       "2  49.2765 -0.7025  Europe/Paris            3600   \n",
       "3  49.4939  0.1080  Europe/Paris            3600   \n",
       "4  49.4405  1.0940  Europe/Paris            3600   \n",
       "\n",
       "                                               daily alerts  \n",
       "0  [{'dt': 1636282800, 'sunrise': 1636268519, 'su...    NaN  \n",
       "1  [{'dt': 1636282800, 'sunrise': 1636268645, 'su...    NaN  \n",
       "2  [{'dt': 1636282800, 'sunrise': 1636268431, 'su...    NaN  \n",
       "3  [{'dt': 1636282800, 'sunrise': 1636268272, 'su...    NaN  \n",
       "4  [{'dt': 1636282800, 'sunrise': 1636268026, 'su...    NaN  "
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_weather_cities.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Putting the relevant columns in the \"df_weather_cities\" dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_weather_cities_daily = df_weather_cities.loc[:, [\"daily\",\"lat\",\"lon\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
       "    .dataframe thead th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>daily</th>\n",
       "      <th>lat</th>\n",
       "      <th>lon</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>[{'dt': 1636282800, 'sunrise': 1636268519, 'su...</td>\n",
       "      <td>48.6355</td>\n",
       "      <td>-1.5103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>[{'dt': 1636282800, 'sunrise': 1636268645, 'su...</td>\n",
       "      <td>48.6495</td>\n",
       "      <td>-2.0260</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>[{'dt': 1636282800, 'sunrise': 1636268431, 'su...</td>\n",
       "      <td>49.2765</td>\n",
       "      <td>-0.7025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>[{'dt': 1636282800, 'sunrise': 1636268272, 'su...</td>\n",
       "      <td>49.4939</td>\n",
       "      <td>0.1080</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>[{'dt': 1636282800, 'sunrise': 1636268026, 'su...</td>\n",
       "      <td>49.4405</td>\n",
       "      <td>1.0940</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               daily      lat     lon\n",
       "0  [{'dt': 1636282800, 'sunrise': 1636268519, 'su...  48.6355 -1.5103\n",
       "1  [{'dt': 1636282800, 'sunrise': 1636268645, 'su...  48.6495 -2.0260\n",
       "2  [{'dt': 1636282800, 'sunrise': 1636268431, 'su...  49.2765 -0.7025\n",
       "3  [{'dt': 1636282800, 'sunrise': 1636268272, 'su...  49.4939  0.1080\n",
       "4  [{'dt': 1636282800, 'sunrise': 1636268026, 'su...  49.4405  1.0940"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_weather_cities_daily.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Convert the \"df_weather_cities_daily\" dataframe to a dictionary"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "dict_weather_cities_daily = df_weather_cities_daily.to_dict()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 185,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{'dt': 1636282800,\n",
       "  'sunrise': 1636268519,\n",
       "  'sunset': 1636303050,\n",
       "  'moonrise': 1636280820,\n",
       "  'moonset': 1636309620,\n",
       "  'moon_phase': 0.1,\n",
       "  'temp': {'day': 13.07,\n",
       "   'min': 8.57,\n",
       "   'max': 13.44,\n",
       "   'night': 8.57,\n",
       "   'eve': 11.5,\n",
       "   'morn': 12.48},\n",
       "  'feels_like': {'day': 12.31, 'night': 7.02, 'eve': 10.43, 'morn': 12.21},\n",
       "  'pressure': 1025,\n",
       "  'humidity': 72,\n",
       "  'dew_point': 7.9,\n",
       "  'wind_speed': 7.05,\n",
       "  'wind_deg': 318,\n",
       "  'wind_gust': 11.52,\n",
       "  'weather': [{'id': 500,\n",
       "    'main': 'Rain',\n",
       "    'description': 'light rain',\n",
       "    'icon': '10d'}],\n",
       "  'clouds': 100,\n",
       "  'pop': 0.35,\n",
       "  'rain': 0.39,\n",
       "  'uvi': 1.35},\n",
       " {'dt': 1636369200,\n",
       "  'sunrise': 1636355014,\n",
       "  'sunset': 1636389364,\n",
       "  'moonrise': 1636371660,\n",
       "  'moonset': 1636399500,\n",
       "  'moon_phase': 0.14,\n",
       "  'temp': {'day': 11.61,\n",
       "   'min': 6.72,\n",
       "   'max': 13.04,\n",
       "   'night': 10.75,\n",
       "   'eve': 10.43,\n",
       "   'morn': 6.97},\n",
       "  'feels_like': {'day': 10.78, 'night': 10.1, 'eve': 9.72, 'morn': 6.97},\n",
       "  'pressure': 1026,\n",
       "  'humidity': 75,\n",
       "  'dew_point': 7.19,\n",
       "  'wind_speed': 2.28,\n",
       "  'wind_deg': 16,\n",
       "  'wind_gust': 2.96,\n",
       "  'weather': [{'id': 803,\n",
       "    'main': 'Clouds',\n",
       "    'description': 'broken clouds',\n",
       "    'icon': '04d'}],\n",
       "  'clouds': 72,\n",
       "  'pop': 0.02,\n",
       "  'uvi': 1.14},\n",
       " {'dt': 1636455600,\n",
       "  'sunrise': 1636441509,\n",
       "  'sunset': 1636475680,\n",
       "  'moonrise': 1636461600,\n",
       "  'moonset': 1636490160,\n",
       "  'moon_phase': 0.18,\n",
       "  'temp': {'day': 13.27,\n",
       "   'min': 10.68,\n",
       "   'max': 15.1,\n",
       "   'night': 11.01,\n",
       "   'eve': 12.49,\n",
       "   'morn': 10.73},\n",
       "  'feels_like': {'day': 12.69, 'night': 10.36, 'eve': 11.86, 'morn': 10.18},\n",
       "  'pressure': 1027,\n",
       "  'humidity': 78,\n",
       "  'dew_point': 9.3,\n",
       "  'wind_speed': 3.03,\n",
       "  'wind_deg': 178,\n",
       "  'wind_gust': 3.86,\n",
       "  'weather': [{'id': 804,\n",
       "    'main': 'Clouds',\n",
       "    'description': 'overcast clouds',\n",
       "    'icon': '04d'}],\n",
       "  'clouds': 95,\n",
       "  'pop': 0.04,\n",
       "  'uvi': 1.43},\n",
       " {'dt': 1636542000,\n",
       "  'sunrise': 1636528004,\n",
       "  'sunset': 1636561998,\n",
       "  'moonrise': 1636550640,\n",
       "  'moonset': 1636581180,\n",
       "  'moon_phase': 0.21,\n",
       "  'temp': {'day': 13.64,\n",
       "   'min': 8.02,\n",
       "   'max': 14.65,\n",
       "   'night': 9.35,\n",
       "   'eve': 10.57,\n",
       "   'morn': 8.2},\n",
       "  'feels_like': {'day': 12.91, 'night': 7.97, 'eve': 9.98, 'morn': 6.77},\n",
       "  'pressure': 1027,\n",
       "  'humidity': 71,\n",
       "  'dew_point': 8.38,\n",
       "  'wind_speed': 2.9,\n",
       "  'wind_deg': 150,\n",
       "  'wind_gust': 3.59,\n",
       "  'weather': [{'id': 800,\n",
       "    'main': 'Clear',\n",
       "    'description': 'clear sky',\n",
       "    'icon': '01d'}],\n",
       "  'clouds': 0,\n",
       "  'pop': 0,\n",
       "  'uvi': 0.84},\n",
       " {'dt': 1636628400,\n",
       "  'sunrise': 1636614499,\n",
       "  'sunset': 1636648318,\n",
       "  'moonrise': 1636638960,\n",
       "  'moonset': 0,\n",
       "  'moon_phase': 0.25,\n",
       "  'temp': {'day': 12.82,\n",
       "   'min': 5.92,\n",
       "   'max': 13.14,\n",
       "   'night': 6.5,\n",
       "   'eve': 8.03,\n",
       "   'morn': 5.92},\n",
       "  'feels_like': {'day': 11.46, 'night': 4.28, 'eve': 6.47, 'morn': 4.01},\n",
       "  'pressure': 1023,\n",
       "  'humidity': 50,\n",
       "  'dew_point': 2.46,\n",
       "  'wind_speed': 3.04,\n",
       "  'wind_deg': 134,\n",
       "  'wind_gust': 4.56,\n",
       "  'weather': [{'id': 801,\n",
       "    'main': 'Clouds',\n",
       "    'description': 'few clouds',\n",
       "    'icon': '02d'}],\n",
       "  'clouds': 16,\n",
       "  'pop': 0,\n",
       "  'uvi': 1.26},\n",
       " {'dt': 1636714800,\n",
       "  'sunrise': 1636700994,\n",
       "  'sunset': 1636734640,\n",
       "  'moonrise': 1636726860,\n",
       "  'moonset': 1636672200,\n",
       "  'moon_phase': 0.28,\n",
       "  'temp': {'day': 12.15,\n",
       "   'min': 5.25,\n",
       "   'max': 13.05,\n",
       "   'night': 9.55,\n",
       "   'eve': 10.06,\n",
       "   'morn': 5.55},\n",
       "  'feels_like': {'day': 11.07, 'night': 6.58, 'eve': 9.34, 'morn': 3.85},\n",
       "  'pressure': 1014,\n",
       "  'humidity': 63,\n",
       "  'dew_point': 5.2,\n",
       "  'wind_speed': 6.29,\n",
       "  'wind_deg': 249,\n",
       "  'wind_gust': 11.28,\n",
       "  'weather': [{'id': 500,\n",
       "    'main': 'Rain',\n",
       "    'description': 'light rain',\n",
       "    'icon': '10d'}],\n",
       "  'clouds': 98,\n",
       "  'pop': 0.35,\n",
       "  'rain': 0.33,\n",
       "  'uvi': 2},\n",
       " {'dt': 1636801200,\n",
       "  'sunrise': 1636787488,\n",
       "  'sunset': 1636820964,\n",
       "  'moonrise': 1636814460,\n",
       "  'moonset': 1636763160,\n",
       "  'moon_phase': 0.31,\n",
       "  'temp': {'day': 13.05,\n",
       "   'min': 10.09,\n",
       "   'max': 13.05,\n",
       "   'night': 10.32,\n",
       "   'eve': 11.82,\n",
       "   'morn': 11.48},\n",
       "  'feels_like': {'day': 12.24, 'night': 9.63, 'eve': 11.09, 'morn': 10.77},\n",
       "  'pressure': 1013,\n",
       "  'humidity': 70,\n",
       "  'dew_point': 7.56,\n",
       "  'wind_speed': 10.38,\n",
       "  'wind_deg': 308,\n",
       "  'wind_gust': 14.73,\n",
       "  'weather': [{'id': 500,\n",
       "    'main': 'Rain',\n",
       "    'description': 'light rain',\n",
       "    'icon': '10d'}],\n",
       "  'clouds': 60,\n",
       "  'pop': 0.71,\n",
       "  'rain': 5.07,\n",
       "  'uvi': 2},\n",
       " {'dt': 1636887600,\n",
       "  'sunrise': 1636873982,\n",
       "  'sunset': 1636907289,\n",
       "  'moonrise': 1636901820,\n",
       "  'moonset': 1636853880,\n",
       "  'moon_phase': 0.35,\n",
       "  'temp': {'day': 12.06,\n",
       "   'min': 9.62,\n",
       "   'max': 12.1,\n",
       "   'night': 9.62,\n",
       "   'eve': 10.26,\n",
       "   'morn': 9.84},\n",
       "  'feels_like': {'day': 11.25, 'night': 7.68, 'eve': 9.48, 'morn': 9.22},\n",
       "  'pressure': 1017,\n",
       "  'humidity': 74,\n",
       "  'dew_point': 7.34,\n",
       "  'wind_speed': 4.27,\n",
       "  'wind_deg': 144,\n",
       "  'wind_gust': 8.26,\n",
       "  'weather': [{'id': 501,\n",
       "    'main': 'Rain',\n",
       "    'description': 'moderate rain',\n",
       "    'icon': '10d'}],\n",
       "  'clouds': 100,\n",
       "  'pop': 1,\n",
       "  'rain': 4.27,\n",
       "  'uvi': 2}]"
      ]
     },
     "execution_count": 185,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dict_weather_cities_daily[\"daily\"][0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Creating the empty dictionary dict_weather_all"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "dict_weather_all = {}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Testing how to access the appropriate values stored in dict_weather_cities_daily"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "48.6355"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dict_weather_cities_daily[\"lat\"][0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "12.21"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dict_weather_cities_daily[\"daily\"][0][0][\"feels_like\"][\"morn\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'light rain'"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dict_weather_cities_daily[\"daily\"][0][0][\"weather\"][0][\"description\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.35"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dict_weather_cities_daily[\"daily\"][0][0][\"pop\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Create the keys which will hold the relevant values after  looping in \"dict_weather_cities_daily\" dictionary"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "dict_weather_all = {\"Latitude\", \"Longitude\", \"date\", \"time_sunrise\", \"time_sunset\" ,\"time_moonrise\", \"time_moonset\",\n",
    "\"temp_day\", \"temp_min\", \"temp_max\", \"temp_night\", \"temp_morning\", \"feels_like_day\", \"feels_like_night\", \"feels_like_morning\", \"pressure\",\n",
    "\"humidity\", \"dew_point\", \"wind_speed\", \"wind_deg\", \"wind_gust\", \"weather_id\", \"weather_main\", \"clouds\", \"prob_precipitation\",\n",
    "\"uv\"}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Looping in \"dict_weather_cities_daily\" dictionary and storing the information in \"dict_weather_all\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "from collections import OrderedDict\n",
    "dict_weather_all = OrderedDict()\n",
    "weather_list = []\n",
    "i = 0\n",
    "j = 0\n",
    "k = 0\n",
    "for i in range (0, 35):\n",
    "    for j in range (0,8):\n",
    "        dict_weather_all = {}\n",
    "        dict_weather_all[\"Latitude\"] = dict_weather_cities_daily[\"lat\"][i]\n",
    "        dict_weather_all[\"Longitude\"] = dict_weather_cities_daily[\"lon\"][i]\n",
    "        dict_weather_all[\"date\"] = dict_weather_cities_daily[\"daily\"][i][j][\"dt\"]\n",
    "        dict_weather_all[\"time_sunrise\"] = dict_weather_cities_daily[\"daily\"][i][j][\"sunrise\"]\n",
    "        dict_weather_all[\"time_sunset\"] = dict_weather_cities_daily[\"daily\"][i][j][\"sunset\"]\n",
    "        dict_weather_all[\"time_moonrise\"] = dict_weather_cities_daily[\"daily\"][i][j][\"moonrise\"]\n",
    "        dict_weather_all[\"time_moonset\"] = dict_weather_cities_daily[\"daily\"][i][j][\"moonset\"]\n",
    "        dict_weather_all[\"temp_day\"] = dict_weather_cities_daily[\"daily\"][i][j][\"temp\"][\"day\"]\n",
    "        dict_weather_all[\"temp_min\"] = dict_weather_cities_daily[\"daily\"][i][j][\"temp\"][\"min\"]\n",
    "        dict_weather_all[\"temp_max\"] = dict_weather_cities_daily[\"daily\"][i][j][\"temp\"][\"max\"]\n",
    "        dict_weather_all[\"temp_night\"] = dict_weather_cities_daily[\"daily\"][i][j][\"temp\"][\"night\"]\n",
    "        dict_weather_all[\"temp_morning\"] = dict_weather_cities_daily[\"daily\"][i][j][\"temp\"][\"morn\"]\n",
    "        dict_weather_all[\"feels_like_day\"] = dict_weather_cities_daily[\"daily\"][i][j][\"feels_like\"][\"day\"]\n",
    "        dict_weather_all[\"feels_like_night\"] = dict_weather_cities_daily[\"daily\"][i][j][\"feels_like\"][\"night\"]\n",
    "        dict_weather_all[\"feels_like_morning\"] = dict_weather_cities_daily[\"daily\"][i][j][\"feels_like\"][\"morn\"]\n",
    "        dict_weather_all[\"pressure\"] = dict_weather_cities_daily[\"daily\"][i][j][\"pressure\"]\n",
    "        dict_weather_all[\"humidity\"] = dict_weather_cities_daily[\"daily\"][i][j][\"humidity\"]\n",
    "        dict_weather_all[\"dew_point\"] = dict_weather_cities_daily[\"daily\"][i][j][\"dew_point\"]\n",
    "        dict_weather_all[\"wind_speed\"] = dict_weather_cities_daily[\"daily\"][i][j][\"wind_speed\"]\n",
    "        dict_weather_all[\"wind_deg\"] = dict_weather_cities_daily[\"daily\"][i][j][\"wind_deg\"]\n",
    "        dict_weather_all[\"wind_gust\"] = dict_weather_cities_daily[\"daily\"][i][j][\"wind_gust\"]\n",
    "        dict_weather_all[\"weather_id\"] = dict_weather_cities_daily[\"daily\"][i][j][\"weather\"][0][\"main\"]\n",
    "        dict_weather_all[\"weather_main\"] = dict_weather_cities_daily[\"daily\"][i][j][\"weather\"][0][\"main\"]\n",
    "        dict_weather_all[\"clouds\"] = dict_weather_cities_daily[\"daily\"][i][j][\"clouds\"]\n",
    "        dict_weather_all[\"prob_rain\"] = dict_weather_cities_daily[\"daily\"][i][j][\"pop\"]\n",
    "        dict_weather_all[\"uv\"] = dict_weather_cities_daily[\"daily\"][i][j][\"uvi\"]\n",
    "        weather_list.append(dict_weather_all)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Convert the list \"weather_list\" to the flattened dataframe \"df_weather_info\" and verify its content"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_weather_info = pd.DataFrame(weather_list)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "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>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>date</th>\n",
       "      <th>time_sunrise</th>\n",
       "      <th>time_sunset</th>\n",
       "      <th>time_moonrise</th>\n",
       "      <th>time_moonset</th>\n",
       "      <th>temp_day</th>\n",
       "      <th>temp_min</th>\n",
       "      <th>temp_max</th>\n",
       "      <th>...</th>\n",
       "      <th>humidity</th>\n",
       "      <th>dew_point</th>\n",
       "      <th>wind_speed</th>\n",
       "      <th>wind_deg</th>\n",
       "      <th>wind_gust</th>\n",
       "      <th>weather_id</th>\n",
       "      <th>weather_main</th>\n",
       "      <th>clouds</th>\n",
       "      <th>prob_rain</th>\n",
       "      <th>uv</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>48.6355</td>\n",
       "      <td>-1.5103</td>\n",
       "      <td>1636282800</td>\n",
       "      <td>1636268519</td>\n",
       "      <td>1636303050</td>\n",
       "      <td>1636280820</td>\n",
       "      <td>1636309620</td>\n",
       "      <td>13.07</td>\n",
       "      <td>8.57</td>\n",
       "      <td>13.44</td>\n",
       "      <td>...</td>\n",
       "      <td>72</td>\n",
       "      <td>7.90</td>\n",
       "      <td>7.05</td>\n",
       "      <td>318</td>\n",
       "      <td>11.52</td>\n",
       "      <td>Rain</td>\n",
       "      <td>Rain</td>\n",
       "      <td>100</td>\n",
       "      <td>0.35</td>\n",
       "      <td>1.35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>48.6355</td>\n",
       "      <td>-1.5103</td>\n",
       "      <td>1636369200</td>\n",
       "      <td>1636355014</td>\n",
       "      <td>1636389364</td>\n",
       "      <td>1636371660</td>\n",
       "      <td>1636399500</td>\n",
       "      <td>11.61</td>\n",
       "      <td>6.72</td>\n",
       "      <td>13.04</td>\n",
       "      <td>...</td>\n",
       "      <td>75</td>\n",
       "      <td>7.19</td>\n",
       "      <td>2.28</td>\n",
       "      <td>16</td>\n",
       "      <td>2.96</td>\n",
       "      <td>Clouds</td>\n",
       "      <td>Clouds</td>\n",
       "      <td>72</td>\n",
       "      <td>0.02</td>\n",
       "      <td>1.14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>48.6355</td>\n",
       "      <td>-1.5103</td>\n",
       "      <td>1636455600</td>\n",
       "      <td>1636441509</td>\n",
       "      <td>1636475680</td>\n",
       "      <td>1636461600</td>\n",
       "      <td>1636490160</td>\n",
       "      <td>13.27</td>\n",
       "      <td>10.68</td>\n",
       "      <td>15.10</td>\n",
       "      <td>...</td>\n",
       "      <td>78</td>\n",
       "      <td>9.30</td>\n",
       "      <td>3.03</td>\n",
       "      <td>178</td>\n",
       "      <td>3.86</td>\n",
       "      <td>Clouds</td>\n",
       "      <td>Clouds</td>\n",
       "      <td>95</td>\n",
       "      <td>0.04</td>\n",
       "      <td>1.43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>48.6355</td>\n",
       "      <td>-1.5103</td>\n",
       "      <td>1636542000</td>\n",
       "      <td>1636528004</td>\n",
       "      <td>1636561998</td>\n",
       "      <td>1636550640</td>\n",
       "      <td>1636581180</td>\n",
       "      <td>13.64</td>\n",
       "      <td>8.02</td>\n",
       "      <td>14.65</td>\n",
       "      <td>...</td>\n",
       "      <td>71</td>\n",
       "      <td>8.38</td>\n",
       "      <td>2.90</td>\n",
       "      <td>150</td>\n",
       "      <td>3.59</td>\n",
       "      <td>Clear</td>\n",
       "      <td>Clear</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>48.6355</td>\n",
       "      <td>-1.5103</td>\n",
       "      <td>1636628400</td>\n",
       "      <td>1636614499</td>\n",
       "      <td>1636648318</td>\n",
       "      <td>1636638960</td>\n",
       "      <td>0</td>\n",
       "      <td>12.82</td>\n",
       "      <td>5.92</td>\n",
       "      <td>13.14</td>\n",
       "      <td>...</td>\n",
       "      <td>50</td>\n",
       "      <td>2.46</td>\n",
       "      <td>3.04</td>\n",
       "      <td>134</td>\n",
       "      <td>4.56</td>\n",
       "      <td>Clouds</td>\n",
       "      <td>Clouds</td>\n",
       "      <td>16</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>48.6355</td>\n",
       "      <td>-1.5103</td>\n",
       "      <td>1636714800</td>\n",
       "      <td>1636700994</td>\n",
       "      <td>1636734640</td>\n",
       "      <td>1636726860</td>\n",
       "      <td>1636672200</td>\n",
       "      <td>12.15</td>\n",
       "      <td>5.25</td>\n",
       "      <td>13.05</td>\n",
       "      <td>...</td>\n",
       "      <td>63</td>\n",
       "      <td>5.20</td>\n",
       "      <td>6.29</td>\n",
       "      <td>249</td>\n",
       "      <td>11.28</td>\n",
       "      <td>Rain</td>\n",
       "      <td>Rain</td>\n",
       "      <td>98</td>\n",
       "      <td>0.35</td>\n",
       "      <td>2.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>48.6355</td>\n",
       "      <td>-1.5103</td>\n",
       "      <td>1636801200</td>\n",
       "      <td>1636787488</td>\n",
       "      <td>1636820964</td>\n",
       "      <td>1636814460</td>\n",
       "      <td>1636763160</td>\n",
       "      <td>13.05</td>\n",
       "      <td>10.09</td>\n",
       "      <td>13.05</td>\n",
       "      <td>...</td>\n",
       "      <td>70</td>\n",
       "      <td>7.56</td>\n",
       "      <td>10.38</td>\n",
       "      <td>308</td>\n",
       "      <td>14.73</td>\n",
       "      <td>Rain</td>\n",
       "      <td>Rain</td>\n",
       "      <td>60</td>\n",
       "      <td>0.71</td>\n",
       "      <td>2.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>48.6355</td>\n",
       "      <td>-1.5103</td>\n",
       "      <td>1636887600</td>\n",
       "      <td>1636873982</td>\n",
       "      <td>1636907289</td>\n",
       "      <td>1636901820</td>\n",
       "      <td>1636853880</td>\n",
       "      <td>12.06</td>\n",
       "      <td>9.62</td>\n",
       "      <td>12.10</td>\n",
       "      <td>...</td>\n",
       "      <td>74</td>\n",
       "      <td>7.34</td>\n",
       "      <td>4.27</td>\n",
       "      <td>144</td>\n",
       "      <td>8.26</td>\n",
       "      <td>Rain</td>\n",
       "      <td>Rain</td>\n",
       "      <td>100</td>\n",
       "      <td>1.00</td>\n",
       "      <td>2.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>48.6495</td>\n",
       "      <td>-2.0260</td>\n",
       "      <td>1636282800</td>\n",
       "      <td>1636268645</td>\n",
       "      <td>1636303171</td>\n",
       "      <td>1636280940</td>\n",
       "      <td>1636309740</td>\n",
       "      <td>13.35</td>\n",
       "      <td>10.76</td>\n",
       "      <td>13.47</td>\n",
       "      <td>...</td>\n",
       "      <td>68</td>\n",
       "      <td>7.58</td>\n",
       "      <td>8.07</td>\n",
       "      <td>319</td>\n",
       "      <td>12.94</td>\n",
       "      <td>Rain</td>\n",
       "      <td>Rain</td>\n",
       "      <td>100</td>\n",
       "      <td>0.52</td>\n",
       "      <td>1.27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>48.6495</td>\n",
       "      <td>-2.0260</td>\n",
       "      <td>1636369200</td>\n",
       "      <td>1636355140</td>\n",
       "      <td>1636389486</td>\n",
       "      <td>1636371780</td>\n",
       "      <td>1636399620</td>\n",
       "      <td>12.89</td>\n",
       "      <td>10.51</td>\n",
       "      <td>13.45</td>\n",
       "      <td>...</td>\n",
       "      <td>69</td>\n",
       "      <td>7.40</td>\n",
       "      <td>4.80</td>\n",
       "      <td>338</td>\n",
       "      <td>5.40</td>\n",
       "      <td>Clouds</td>\n",
       "      <td>Clouds</td>\n",
       "      <td>91</td>\n",
       "      <td>0.09</td>\n",
       "      <td>1.06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>48.6495</td>\n",
       "      <td>-2.0260</td>\n",
       "      <td>1636455600</td>\n",
       "      <td>1636441636</td>\n",
       "      <td>1636475802</td>\n",
       "      <td>1636461720</td>\n",
       "      <td>1636490280</td>\n",
       "      <td>14.05</td>\n",
       "      <td>12.21</td>\n",
       "      <td>14.97</td>\n",
       "      <td>...</td>\n",
       "      <td>77</td>\n",
       "      <td>10.12</td>\n",
       "      <td>3.29</td>\n",
       "      <td>204</td>\n",
       "      <td>3.95</td>\n",
       "      <td>Clouds</td>\n",
       "      <td>Clouds</td>\n",
       "      <td>97</td>\n",
       "      <td>0.06</td>\n",
       "      <td>1.41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>48.6495</td>\n",
       "      <td>-2.0260</td>\n",
       "      <td>1636542000</td>\n",
       "      <td>1636528131</td>\n",
       "      <td>1636562119</td>\n",
       "      <td>1636550760</td>\n",
       "      <td>1636581300</td>\n",
       "      <td>13.23</td>\n",
       "      <td>9.89</td>\n",
       "      <td>13.60</td>\n",
       "      <td>...</td>\n",
       "      <td>73</td>\n",
       "      <td>8.36</td>\n",
       "      <td>3.54</td>\n",
       "      <td>166</td>\n",
       "      <td>3.74</td>\n",
       "      <td>Clear</td>\n",
       "      <td>Clear</td>\n",
       "      <td>1</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>48.6495</td>\n",
       "      <td>-2.0260</td>\n",
       "      <td>1636628400</td>\n",
       "      <td>1636614626</td>\n",
       "      <td>1636648439</td>\n",
       "      <td>1636639080</td>\n",
       "      <td>0</td>\n",
       "      <td>11.78</td>\n",
       "      <td>8.01</td>\n",
       "      <td>13.05</td>\n",
       "      <td>...</td>\n",
       "      <td>54</td>\n",
       "      <td>2.78</td>\n",
       "      <td>3.75</td>\n",
       "      <td>157</td>\n",
       "      <td>4.77</td>\n",
       "      <td>Clouds</td>\n",
       "      <td>Clouds</td>\n",
       "      <td>29</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>48.6495</td>\n",
       "      <td>-2.0260</td>\n",
       "      <td>1636714800</td>\n",
       "      <td>1636701120</td>\n",
       "      <td>1636734761</td>\n",
       "      <td>1636726980</td>\n",
       "      <td>1636672320</td>\n",
       "      <td>13.26</td>\n",
       "      <td>7.91</td>\n",
       "      <td>13.62</td>\n",
       "      <td>...</td>\n",
       "      <td>75</td>\n",
       "      <td>8.79</td>\n",
       "      <td>7.82</td>\n",
       "      <td>253</td>\n",
       "      <td>11.65</td>\n",
       "      <td>Rain</td>\n",
       "      <td>Rain</td>\n",
       "      <td>85</td>\n",
       "      <td>0.52</td>\n",
       "      <td>2.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>48.6495</td>\n",
       "      <td>-2.0260</td>\n",
       "      <td>1636801200</td>\n",
       "      <td>1636787614</td>\n",
       "      <td>1636821085</td>\n",
       "      <td>1636814580</td>\n",
       "      <td>1636763280</td>\n",
       "      <td>13.03</td>\n",
       "      <td>10.98</td>\n",
       "      <td>13.03</td>\n",
       "      <td>...</td>\n",
       "      <td>67</td>\n",
       "      <td>7.01</td>\n",
       "      <td>12.02</td>\n",
       "      <td>316</td>\n",
       "      <td>16.23</td>\n",
       "      <td>Rain</td>\n",
       "      <td>Rain</td>\n",
       "      <td>47</td>\n",
       "      <td>0.64</td>\n",
       "      <td>2.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>48.6495</td>\n",
       "      <td>-2.0260</td>\n",
       "      <td>1636887600</td>\n",
       "      <td>1636874108</td>\n",
       "      <td>1636907410</td>\n",
       "      <td>1636901940</td>\n",
       "      <td>1636854000</td>\n",
       "      <td>12.41</td>\n",
       "      <td>10.69</td>\n",
       "      <td>12.83</td>\n",
       "      <td>...</td>\n",
       "      <td>71</td>\n",
       "      <td>7.35</td>\n",
       "      <td>5.75</td>\n",
       "      <td>319</td>\n",
       "      <td>7.45</td>\n",
       "      <td>Rain</td>\n",
       "      <td>Rain</td>\n",
       "      <td>100</td>\n",
       "      <td>1.00</td>\n",
       "      <td>2.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>49.2765</td>\n",
       "      <td>-0.7025</td>\n",
       "      <td>1636282800</td>\n",
       "      <td>1636268431</td>\n",
       "      <td>1636302751</td>\n",
       "      <td>1636280820</td>\n",
       "      <td>1636309200</td>\n",
       "      <td>12.53</td>\n",
       "      <td>8.87</td>\n",
       "      <td>13.17</td>\n",
       "      <td>...</td>\n",
       "      <td>69</td>\n",
       "      <td>6.98</td>\n",
       "      <td>7.75</td>\n",
       "      <td>252</td>\n",
       "      <td>13.73</td>\n",
       "      <td>Rain</td>\n",
       "      <td>Rain</td>\n",
       "      <td>98</td>\n",
       "      <td>0.38</td>\n",
       "      <td>1.30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>49.2765</td>\n",
       "      <td>-0.7025</td>\n",
       "      <td>1636369200</td>\n",
       "      <td>1636354928</td>\n",
       "      <td>1636389062</td>\n",
       "      <td>1636371660</td>\n",
       "      <td>1636399080</td>\n",
       "      <td>11.87</td>\n",
       "      <td>7.37</td>\n",
       "      <td>12.13</td>\n",
       "      <td>...</td>\n",
       "      <td>70</td>\n",
       "      <td>6.59</td>\n",
       "      <td>3.68</td>\n",
       "      <td>312</td>\n",
       "      <td>5.71</td>\n",
       "      <td>Clouds</td>\n",
       "      <td>Clouds</td>\n",
       "      <td>100</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.13</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>18 rows × 26 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    Latitude  Longitude        date  time_sunrise  time_sunset  time_moonrise  \\\n",
       "0    48.6355    -1.5103  1636282800    1636268519   1636303050     1636280820   \n",
       "1    48.6355    -1.5103  1636369200    1636355014   1636389364     1636371660   \n",
       "2    48.6355    -1.5103  1636455600    1636441509   1636475680     1636461600   \n",
       "3    48.6355    -1.5103  1636542000    1636528004   1636561998     1636550640   \n",
       "4    48.6355    -1.5103  1636628400    1636614499   1636648318     1636638960   \n",
       "5    48.6355    -1.5103  1636714800    1636700994   1636734640     1636726860   \n",
       "6    48.6355    -1.5103  1636801200    1636787488   1636820964     1636814460   \n",
       "7    48.6355    -1.5103  1636887600    1636873982   1636907289     1636901820   \n",
       "8    48.6495    -2.0260  1636282800    1636268645   1636303171     1636280940   \n",
       "9    48.6495    -2.0260  1636369200    1636355140   1636389486     1636371780   \n",
       "10   48.6495    -2.0260  1636455600    1636441636   1636475802     1636461720   \n",
       "11   48.6495    -2.0260  1636542000    1636528131   1636562119     1636550760   \n",
       "12   48.6495    -2.0260  1636628400    1636614626   1636648439     1636639080   \n",
       "13   48.6495    -2.0260  1636714800    1636701120   1636734761     1636726980   \n",
       "14   48.6495    -2.0260  1636801200    1636787614   1636821085     1636814580   \n",
       "15   48.6495    -2.0260  1636887600    1636874108   1636907410     1636901940   \n",
       "16   49.2765    -0.7025  1636282800    1636268431   1636302751     1636280820   \n",
       "17   49.2765    -0.7025  1636369200    1636354928   1636389062     1636371660   \n",
       "\n",
       "    time_moonset  temp_day  temp_min  temp_max  ...  humidity  dew_point  \\\n",
       "0     1636309620     13.07      8.57     13.44  ...        72       7.90   \n",
       "1     1636399500     11.61      6.72     13.04  ...        75       7.19   \n",
       "2     1636490160     13.27     10.68     15.10  ...        78       9.30   \n",
       "3     1636581180     13.64      8.02     14.65  ...        71       8.38   \n",
       "4              0     12.82      5.92     13.14  ...        50       2.46   \n",
       "5     1636672200     12.15      5.25     13.05  ...        63       5.20   \n",
       "6     1636763160     13.05     10.09     13.05  ...        70       7.56   \n",
       "7     1636853880     12.06      9.62     12.10  ...        74       7.34   \n",
       "8     1636309740     13.35     10.76     13.47  ...        68       7.58   \n",
       "9     1636399620     12.89     10.51     13.45  ...        69       7.40   \n",
       "10    1636490280     14.05     12.21     14.97  ...        77      10.12   \n",
       "11    1636581300     13.23      9.89     13.60  ...        73       8.36   \n",
       "12             0     11.78      8.01     13.05  ...        54       2.78   \n",
       "13    1636672320     13.26      7.91     13.62  ...        75       8.79   \n",
       "14    1636763280     13.03     10.98     13.03  ...        67       7.01   \n",
       "15    1636854000     12.41     10.69     12.83  ...        71       7.35   \n",
       "16    1636309200     12.53      8.87     13.17  ...        69       6.98   \n",
       "17    1636399080     11.87      7.37     12.13  ...        70       6.59   \n",
       "\n",
       "    wind_speed  wind_deg  wind_gust  weather_id  weather_main  clouds  \\\n",
       "0         7.05       318      11.52        Rain          Rain     100   \n",
       "1         2.28        16       2.96      Clouds        Clouds      72   \n",
       "2         3.03       178       3.86      Clouds        Clouds      95   \n",
       "3         2.90       150       3.59       Clear         Clear       0   \n",
       "4         3.04       134       4.56      Clouds        Clouds      16   \n",
       "5         6.29       249      11.28        Rain          Rain      98   \n",
       "6        10.38       308      14.73        Rain          Rain      60   \n",
       "7         4.27       144       8.26        Rain          Rain     100   \n",
       "8         8.07       319      12.94        Rain          Rain     100   \n",
       "9         4.80       338       5.40      Clouds        Clouds      91   \n",
       "10        3.29       204       3.95      Clouds        Clouds      97   \n",
       "11        3.54       166       3.74       Clear         Clear       1   \n",
       "12        3.75       157       4.77      Clouds        Clouds      29   \n",
       "13        7.82       253      11.65        Rain          Rain      85   \n",
       "14       12.02       316      16.23        Rain          Rain      47   \n",
       "15        5.75       319       7.45        Rain          Rain     100   \n",
       "16        7.75       252      13.73        Rain          Rain      98   \n",
       "17        3.68       312       5.71      Clouds        Clouds     100   \n",
       "\n",
       "    prob_rain    uv  \n",
       "0        0.35  1.35  \n",
       "1        0.02  1.14  \n",
       "2        0.04  1.43  \n",
       "3        0.00  0.84  \n",
       "4        0.00  1.26  \n",
       "5        0.35  2.00  \n",
       "6        0.71  2.00  \n",
       "7        1.00  2.00  \n",
       "8        0.52  1.27  \n",
       "9        0.09  1.06  \n",
       "10       0.06  1.41  \n",
       "11       0.00  0.86  \n",
       "12       0.00  1.23  \n",
       "13       0.52  2.00  \n",
       "14       0.64  2.00  \n",
       "15       1.00  2.00  \n",
       "16       0.38  1.30  \n",
       "17       0.00  1.13  \n",
       "\n",
       "[18 rows x 26 columns]"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_weather_info.head(18)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(280, 26)"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_weather_info.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Set the option to have all the columns of the dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "pd.set_option(\"display.max_columns\", None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "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>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>date</th>\n",
       "      <th>time_sunrise</th>\n",
       "      <th>time_sunset</th>\n",
       "      <th>time_moonrise</th>\n",
       "      <th>time_moonset</th>\n",
       "      <th>temp_day</th>\n",
       "      <th>temp_min</th>\n",
       "      <th>temp_max</th>\n",
       "      <th>temp_night</th>\n",
       "      <th>temp_morning</th>\n",
       "      <th>feels_like_day</th>\n",
       "      <th>feels_like_night</th>\n",
       "      <th>feels_like_morning</th>\n",
       "      <th>pressure</th>\n",
       "      <th>humidity</th>\n",
       "      <th>dew_point</th>\n",
       "      <th>wind_speed</th>\n",
       "      <th>wind_deg</th>\n",
       "      <th>wind_gust</th>\n",
       "      <th>weather_id</th>\n",
       "      <th>weather_main</th>\n",
       "      <th>clouds</th>\n",
       "      <th>prob_rain</th>\n",
       "      <th>uv</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>48.6355</td>\n",
       "      <td>-1.5103</td>\n",
       "      <td>1636282800</td>\n",
       "      <td>1636268519</td>\n",
       "      <td>1636303050</td>\n",
       "      <td>1636280820</td>\n",
       "      <td>1636309620</td>\n",
       "      <td>13.07</td>\n",
       "      <td>8.57</td>\n",
       "      <td>13.44</td>\n",
       "      <td>8.57</td>\n",
       "      <td>12.48</td>\n",
       "      <td>12.31</td>\n",
       "      <td>7.02</td>\n",
       "      <td>12.21</td>\n",
       "      <td>1025</td>\n",
       "      <td>72</td>\n",
       "      <td>7.90</td>\n",
       "      <td>7.05</td>\n",
       "      <td>318</td>\n",
       "      <td>11.52</td>\n",
       "      <td>Rain</td>\n",
       "      <td>Rain</td>\n",
       "      <td>100</td>\n",
       "      <td>0.35</td>\n",
       "      <td>1.35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>48.6355</td>\n",
       "      <td>-1.5103</td>\n",
       "      <td>1636369200</td>\n",
       "      <td>1636355014</td>\n",
       "      <td>1636389364</td>\n",
       "      <td>1636371660</td>\n",
       "      <td>1636399500</td>\n",
       "      <td>11.61</td>\n",
       "      <td>6.72</td>\n",
       "      <td>13.04</td>\n",
       "      <td>10.75</td>\n",
       "      <td>6.97</td>\n",
       "      <td>10.78</td>\n",
       "      <td>10.10</td>\n",
       "      <td>6.97</td>\n",
       "      <td>1026</td>\n",
       "      <td>75</td>\n",
       "      <td>7.19</td>\n",
       "      <td>2.28</td>\n",
       "      <td>16</td>\n",
       "      <td>2.96</td>\n",
       "      <td>Clouds</td>\n",
       "      <td>Clouds</td>\n",
       "      <td>72</td>\n",
       "      <td>0.02</td>\n",
       "      <td>1.14</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Latitude  Longitude        date  time_sunrise  time_sunset  time_moonrise  \\\n",
       "0   48.6355    -1.5103  1636282800    1636268519   1636303050     1636280820   \n",
       "1   48.6355    -1.5103  1636369200    1636355014   1636389364     1636371660   \n",
       "\n",
       "   time_moonset  temp_day  temp_min  temp_max  temp_night  temp_morning  \\\n",
       "0    1636309620     13.07      8.57     13.44        8.57         12.48   \n",
       "1    1636399500     11.61      6.72     13.04       10.75          6.97   \n",
       "\n",
       "   feels_like_day  feels_like_night  feels_like_morning  pressure  humidity  \\\n",
       "0           12.31              7.02               12.21      1025        72   \n",
       "1           10.78             10.10                6.97      1026        75   \n",
       "\n",
       "   dew_point  wind_speed  wind_deg  wind_gust weather_id weather_main  clouds  \\\n",
       "0       7.90        7.05       318      11.52       Rain         Rain     100   \n",
       "1       7.19        2.28        16       2.96     Clouds       Clouds      72   \n",
       "\n",
       "   prob_rain    uv  \n",
       "0       0.35  1.35  \n",
       "1       0.02  1.14  "
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_weather_info.head(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Verifying the types of the columns of the \"df_weather_info\" dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Latitude              float64\n",
       "Longitude             float64\n",
       "date                    int64\n",
       "time_sunrise            int64\n",
       "time_sunset             int64\n",
       "time_moonrise           int64\n",
       "time_moonset            int64\n",
       "temp_day              float64\n",
       "temp_min              float64\n",
       "temp_max              float64\n",
       "temp_night            float64\n",
       "temp_morning          float64\n",
       "feels_like_day        float64\n",
       "feels_like_night      float64\n",
       "feels_like_morning    float64\n",
       "pressure                int64\n",
       "humidity                int64\n",
       "dew_point             float64\n",
       "wind_speed            float64\n",
       "wind_deg                int64\n",
       "wind_gust             float64\n",
       "weather_id             object\n",
       "weather_main           object\n",
       "clouds                  int64\n",
       "prob_rain             float64\n",
       "uv                    float64\n",
       "dtype: object"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_weather_info.dtypes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Rounding the \"Latitude\" and \"Longitude\" columns of the \"df_weather_info\" dataframe to 6 decimal places"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_weather_info[\"Latitude\"] = round(df_weather_info[\"Latitude\"], 6)\n",
    "df_weather_info[\"Longitude\"] = round(df_weather_info[\"Longitude\"], 6)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Changing \"date\", \"time_sunrise\", \"int64\", \"time_sunset\", \"int64\", \"time_moonrise\", \"time_moonset\" columns to datetime format"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [],
   "source": [
    "from datetime import datetime\n",
    "df_weather_info[\"date\"] = df_weather_info[\"date\"].astype('datetime64[s]')\n",
    "df_weather_info[\"time_sunrise\"] = df_weather_info[\"time_sunrise\"].astype('datetime64[s]')\n",
    "df_weather_info[\"time_sunset\"] = df_weather_info[\"time_sunset\"].astype('datetime64[s]')\n",
    "df_weather_info[\"time_moonrise\"] = df_weather_info[\"time_moonrise\"].astype('datetime64[s]')\n",
    "df_weather_info[\"time_moonset\"] = df_weather_info[\"time_moonset\"].astype('datetime64[s]')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Verifying that the types of the abovementioned columns have been converted to datetime format"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Latitude                     float64\n",
       "Longitude                    float64\n",
       "date                  datetime64[ns]\n",
       "time_sunrise          datetime64[ns]\n",
       "time_sunset           datetime64[ns]\n",
       "time_moonrise         datetime64[ns]\n",
       "time_moonset          datetime64[ns]\n",
       "temp_day                     float64\n",
       "temp_min                     float64\n",
       "temp_max                     float64\n",
       "temp_night                   float64\n",
       "temp_morning                 float64\n",
       "feels_like_day               float64\n",
       "feels_like_night             float64\n",
       "feels_like_morning           float64\n",
       "pressure                       int64\n",
       "humidity                       int64\n",
       "dew_point                    float64\n",
       "wind_speed                   float64\n",
       "wind_deg                       int64\n",
       "wind_gust                    float64\n",
       "weather_id                    object\n",
       "weather_main                  object\n",
       "clouds                         int64\n",
       "prob_rain                    float64\n",
       "uv                           float64\n",
       "dtype: object"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_weather_info.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "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>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>date</th>\n",
       "      <th>time_sunrise</th>\n",
       "      <th>time_sunset</th>\n",
       "      <th>time_moonrise</th>\n",
       "      <th>time_moonset</th>\n",
       "      <th>temp_day</th>\n",
       "      <th>temp_min</th>\n",
       "      <th>temp_max</th>\n",
       "      <th>temp_night</th>\n",
       "      <th>temp_morning</th>\n",
       "      <th>feels_like_day</th>\n",
       "      <th>feels_like_night</th>\n",
       "      <th>feels_like_morning</th>\n",
       "      <th>pressure</th>\n",
       "      <th>humidity</th>\n",
       "      <th>dew_point</th>\n",
       "      <th>wind_speed</th>\n",
       "      <th>wind_deg</th>\n",
       "      <th>wind_gust</th>\n",
       "      <th>weather_id</th>\n",
       "      <th>weather_main</th>\n",
       "      <th>clouds</th>\n",
       "      <th>prob_rain</th>\n",
       "      <th>uv</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>48.6355</td>\n",
       "      <td>-1.5103</td>\n",
       "      <td>2021-11-07 11:00:00</td>\n",
       "      <td>2021-11-07 07:01:59</td>\n",
       "      <td>2021-11-07 16:37:30</td>\n",
       "      <td>2021-11-07 10:27:00</td>\n",
       "      <td>2021-11-07 18:27:00</td>\n",
       "      <td>13.07</td>\n",
       "      <td>8.57</td>\n",
       "      <td>13.44</td>\n",
       "      <td>8.57</td>\n",
       "      <td>12.48</td>\n",
       "      <td>12.31</td>\n",
       "      <td>7.02</td>\n",
       "      <td>12.21</td>\n",
       "      <td>1025</td>\n",
       "      <td>72</td>\n",
       "      <td>7.90</td>\n",
       "      <td>7.05</td>\n",
       "      <td>318</td>\n",
       "      <td>11.52</td>\n",
       "      <td>Rain</td>\n",
       "      <td>Rain</td>\n",
       "      <td>100</td>\n",
       "      <td>0.35</td>\n",
       "      <td>1.35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>48.6355</td>\n",
       "      <td>-1.5103</td>\n",
       "      <td>2021-11-08 11:00:00</td>\n",
       "      <td>2021-11-08 07:03:34</td>\n",
       "      <td>2021-11-08 16:36:04</td>\n",
       "      <td>2021-11-08 11:41:00</td>\n",
       "      <td>2021-11-08 19:25:00</td>\n",
       "      <td>11.61</td>\n",
       "      <td>6.72</td>\n",
       "      <td>13.04</td>\n",
       "      <td>10.75</td>\n",
       "      <td>6.97</td>\n",
       "      <td>10.78</td>\n",
       "      <td>10.10</td>\n",
       "      <td>6.97</td>\n",
       "      <td>1026</td>\n",
       "      <td>75</td>\n",
       "      <td>7.19</td>\n",
       "      <td>2.28</td>\n",
       "      <td>16</td>\n",
       "      <td>2.96</td>\n",
       "      <td>Clouds</td>\n",
       "      <td>Clouds</td>\n",
       "      <td>72</td>\n",
       "      <td>0.02</td>\n",
       "      <td>1.14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>48.6355</td>\n",
       "      <td>-1.5103</td>\n",
       "      <td>2021-11-09 11:00:00</td>\n",
       "      <td>2021-11-09 07:05:09</td>\n",
       "      <td>2021-11-09 16:34:40</td>\n",
       "      <td>2021-11-09 12:40:00</td>\n",
       "      <td>2021-11-09 20:36:00</td>\n",
       "      <td>13.27</td>\n",
       "      <td>10.68</td>\n",
       "      <td>15.10</td>\n",
       "      <td>11.01</td>\n",
       "      <td>10.73</td>\n",
       "      <td>12.69</td>\n",
       "      <td>10.36</td>\n",
       "      <td>10.18</td>\n",
       "      <td>1027</td>\n",
       "      <td>78</td>\n",
       "      <td>9.30</td>\n",
       "      <td>3.03</td>\n",
       "      <td>178</td>\n",
       "      <td>3.86</td>\n",
       "      <td>Clouds</td>\n",
       "      <td>Clouds</td>\n",
       "      <td>95</td>\n",
       "      <td>0.04</td>\n",
       "      <td>1.43</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Latitude  Longitude                date        time_sunrise  \\\n",
       "0   48.6355    -1.5103 2021-11-07 11:00:00 2021-11-07 07:01:59   \n",
       "1   48.6355    -1.5103 2021-11-08 11:00:00 2021-11-08 07:03:34   \n",
       "2   48.6355    -1.5103 2021-11-09 11:00:00 2021-11-09 07:05:09   \n",
       "\n",
       "          time_sunset       time_moonrise        time_moonset  temp_day  \\\n",
       "0 2021-11-07 16:37:30 2021-11-07 10:27:00 2021-11-07 18:27:00     13.07   \n",
       "1 2021-11-08 16:36:04 2021-11-08 11:41:00 2021-11-08 19:25:00     11.61   \n",
       "2 2021-11-09 16:34:40 2021-11-09 12:40:00 2021-11-09 20:36:00     13.27   \n",
       "\n",
       "   temp_min  temp_max  temp_night  temp_morning  feels_like_day  \\\n",
       "0      8.57     13.44        8.57         12.48           12.31   \n",
       "1      6.72     13.04       10.75          6.97           10.78   \n",
       "2     10.68     15.10       11.01         10.73           12.69   \n",
       "\n",
       "   feels_like_night  feels_like_morning  pressure  humidity  dew_point  \\\n",
       "0              7.02               12.21      1025        72       7.90   \n",
       "1             10.10                6.97      1026        75       7.19   \n",
       "2             10.36               10.18      1027        78       9.30   \n",
       "\n",
       "   wind_speed  wind_deg  wind_gust weather_id weather_main  clouds  prob_rain  \\\n",
       "0        7.05       318      11.52       Rain         Rain     100       0.35   \n",
       "1        2.28        16       2.96     Clouds       Clouds      72       0.02   \n",
       "2        3.03       178       3.86     Clouds       Clouds      95       0.04   \n",
       "\n",
       "     uv  \n",
       "0  1.35  \n",
       "1  1.14  \n",
       "2  1.43  "
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_weather_info.head(3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Take all the information of the \"df_weather_info\" dataframe and put it in the \"df_weather_info_clean\" dataframe for further processing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_weather_info_clean = df_weather_info"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\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>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>date</th>\n",
       "      <th>time_sunrise</th>\n",
       "      <th>time_sunset</th>\n",
       "      <th>time_moonrise</th>\n",
       "      <th>time_moonset</th>\n",
       "      <th>temp_day</th>\n",
       "      <th>temp_min</th>\n",
       "      <th>temp_max</th>\n",
       "      <th>temp_night</th>\n",
       "      <th>temp_morning</th>\n",
       "      <th>feels_like_day</th>\n",
       "      <th>feels_like_night</th>\n",
       "      <th>feels_like_morning</th>\n",
       "      <th>pressure</th>\n",
       "      <th>humidity</th>\n",
       "      <th>dew_point</th>\n",
       "      <th>wind_speed</th>\n",
       "      <th>wind_deg</th>\n",
       "      <th>wind_gust</th>\n",
       "      <th>weather_id</th>\n",
       "      <th>weather_main</th>\n",
       "      <th>clouds</th>\n",
       "      <th>prob_rain</th>\n",
       "      <th>uv</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>48.6355</td>\n",
       "      <td>-1.5103</td>\n",
       "      <td>2021-11-07 11:00:00</td>\n",
       "      <td>2021-11-07 07:01:59</td>\n",
       "      <td>2021-11-07 16:37:30</td>\n",
       "      <td>2021-11-07 10:27:00</td>\n",
       "      <td>2021-11-07 18:27:00</td>\n",
       "      <td>13.07</td>\n",
       "      <td>8.57</td>\n",
       "      <td>13.44</td>\n",
       "      <td>8.57</td>\n",
       "      <td>12.48</td>\n",
       "      <td>12.31</td>\n",
       "      <td>7.02</td>\n",
       "      <td>12.21</td>\n",
       "      <td>1025</td>\n",
       "      <td>72</td>\n",
       "      <td>7.90</td>\n",
       "      <td>7.05</td>\n",
       "      <td>318</td>\n",
       "      <td>11.52</td>\n",
       "      <td>Rain</td>\n",
       "      <td>Rain</td>\n",
       "      <td>100</td>\n",
       "      <td>0.35</td>\n",
       "      <td>1.35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>48.6355</td>\n",
       "      <td>-1.5103</td>\n",
       "      <td>2021-11-08 11:00:00</td>\n",
       "      <td>2021-11-08 07:03:34</td>\n",
       "      <td>2021-11-08 16:36:04</td>\n",
       "      <td>2021-11-08 11:41:00</td>\n",
       "      <td>2021-11-08 19:25:00</td>\n",
       "      <td>11.61</td>\n",
       "      <td>6.72</td>\n",
       "      <td>13.04</td>\n",
       "      <td>10.75</td>\n",
       "      <td>6.97</td>\n",
       "      <td>10.78</td>\n",
       "      <td>10.10</td>\n",
       "      <td>6.97</td>\n",
       "      <td>1026</td>\n",
       "      <td>75</td>\n",
       "      <td>7.19</td>\n",
       "      <td>2.28</td>\n",
       "      <td>16</td>\n",
       "      <td>2.96</td>\n",
       "      <td>Clouds</td>\n",
       "      <td>Clouds</td>\n",
       "      <td>72</td>\n",
       "      <td>0.02</td>\n",
       "      <td>1.14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>48.6355</td>\n",
       "      <td>-1.5103</td>\n",
       "      <td>2021-11-09 11:00:00</td>\n",
       "      <td>2021-11-09 07:05:09</td>\n",
       "      <td>2021-11-09 16:34:40</td>\n",
       "      <td>2021-11-09 12:40:00</td>\n",
       "      <td>2021-11-09 20:36:00</td>\n",
       "      <td>13.27</td>\n",
       "      <td>10.68</td>\n",
       "      <td>15.10</td>\n",
       "      <td>11.01</td>\n",
       "      <td>10.73</td>\n",
       "      <td>12.69</td>\n",
       "      <td>10.36</td>\n",
       "      <td>10.18</td>\n",
       "      <td>1027</td>\n",
       "      <td>78</td>\n",
       "      <td>9.30</td>\n",
       "      <td>3.03</td>\n",
       "      <td>178</td>\n",
       "      <td>3.86</td>\n",
       "      <td>Clouds</td>\n",
       "      <td>Clouds</td>\n",
       "      <td>95</td>\n",
       "      <td>0.04</td>\n",
       "      <td>1.43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>48.6355</td>\n",
       "      <td>-1.5103</td>\n",
       "      <td>2021-11-10 11:00:00</td>\n",
       "      <td>2021-11-10 07:06:44</td>\n",
       "      <td>2021-11-10 16:33:18</td>\n",
       "      <td>2021-11-10 13:24:00</td>\n",
       "      <td>2021-11-10 21:53:00</td>\n",
       "      <td>13.64</td>\n",
       "      <td>8.02</td>\n",
       "      <td>14.65</td>\n",
       "      <td>9.35</td>\n",
       "      <td>8.20</td>\n",
       "      <td>12.91</td>\n",
       "      <td>7.97</td>\n",
       "      <td>6.77</td>\n",
       "      <td>1027</td>\n",
       "      <td>71</td>\n",
       "      <td>8.38</td>\n",
       "      <td>2.90</td>\n",
       "      <td>150</td>\n",
       "      <td>3.59</td>\n",
       "      <td>Clear</td>\n",
       "      <td>Clear</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>48.6355</td>\n",
       "      <td>-1.5103</td>\n",
       "      <td>2021-11-11 11:00:00</td>\n",
       "      <td>2021-11-11 07:08:19</td>\n",
       "      <td>2021-11-11 16:31:58</td>\n",
       "      <td>2021-11-11 13:56:00</td>\n",
       "      <td>1970-01-01 00:00:00</td>\n",
       "      <td>12.82</td>\n",
       "      <td>5.92</td>\n",
       "      <td>13.14</td>\n",
       "      <td>6.50</td>\n",
       "      <td>5.92</td>\n",
       "      <td>11.46</td>\n",
       "      <td>4.28</td>\n",
       "      <td>4.01</td>\n",
       "      <td>1023</td>\n",
       "      <td>50</td>\n",
       "      <td>2.46</td>\n",
       "      <td>3.04</td>\n",
       "      <td>134</td>\n",
       "      <td>4.56</td>\n",
       "      <td>Clouds</td>\n",
       "      <td>Clouds</td>\n",
       "      <td>16</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.26</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Latitude  Longitude                date        time_sunrise  \\\n",
       "0   48.6355    -1.5103 2021-11-07 11:00:00 2021-11-07 07:01:59   \n",
       "1   48.6355    -1.5103 2021-11-08 11:00:00 2021-11-08 07:03:34   \n",
       "2   48.6355    -1.5103 2021-11-09 11:00:00 2021-11-09 07:05:09   \n",
       "3   48.6355    -1.5103 2021-11-10 11:00:00 2021-11-10 07:06:44   \n",
       "4   48.6355    -1.5103 2021-11-11 11:00:00 2021-11-11 07:08:19   \n",
       "\n",
       "          time_sunset       time_moonrise        time_moonset  temp_day  \\\n",
       "0 2021-11-07 16:37:30 2021-11-07 10:27:00 2021-11-07 18:27:00     13.07   \n",
       "1 2021-11-08 16:36:04 2021-11-08 11:41:00 2021-11-08 19:25:00     11.61   \n",
       "2 2021-11-09 16:34:40 2021-11-09 12:40:00 2021-11-09 20:36:00     13.27   \n",
       "3 2021-11-10 16:33:18 2021-11-10 13:24:00 2021-11-10 21:53:00     13.64   \n",
       "4 2021-11-11 16:31:58 2021-11-11 13:56:00 1970-01-01 00:00:00     12.82   \n",
       "\n",
       "   temp_min  temp_max  temp_night  temp_morning  feels_like_day  \\\n",
       "0      8.57     13.44        8.57         12.48           12.31   \n",
       "1      6.72     13.04       10.75          6.97           10.78   \n",
       "2     10.68     15.10       11.01         10.73           12.69   \n",
       "3      8.02     14.65        9.35          8.20           12.91   \n",
       "4      5.92     13.14        6.50          5.92           11.46   \n",
       "\n",
       "   feels_like_night  feels_like_morning  pressure  humidity  dew_point  \\\n",
       "0              7.02               12.21      1025        72       7.90   \n",
       "1             10.10                6.97      1026        75       7.19   \n",
       "2             10.36               10.18      1027        78       9.30   \n",
       "3              7.97                6.77      1027        71       8.38   \n",
       "4              4.28                4.01      1023        50       2.46   \n",
       "\n",
       "   wind_speed  wind_deg  wind_gust weather_id weather_main  clouds  prob_rain  \\\n",
       "0        7.05       318      11.52       Rain         Rain     100       0.35   \n",
       "1        2.28        16       2.96     Clouds       Clouds      72       0.02   \n",
       "2        3.03       178       3.86     Clouds       Clouds      95       0.04   \n",
       "3        2.90       150       3.59      Clear        Clear       0       0.00   \n",
       "4        3.04       134       4.56     Clouds       Clouds      16       0.00   \n",
       "\n",
       "     uv  \n",
       "0  1.35  \n",
       "1  1.14  \n",
       "2  1.43  \n",
       "3  0.84  \n",
       "4  1.26  "
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_weather_info_clean.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(280, 26)"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_weather_info_clean.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Now it's hight time to scrape Booking.com folks !"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Part III : scraping booking.com"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Install Scrapy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: Scrapy in /opt/conda/lib/python3.8/site-packages (2.5.1)\n",
      "Requirement already satisfied: pyOpenSSL>=16.2.0 in /opt/conda/lib/python3.8/site-packages (from Scrapy) (19.1.0)\n",
      "Requirement already satisfied: Twisted[http2]>=17.9.0 in /opt/conda/lib/python3.8/site-packages (from Scrapy) (21.7.0)\n",
      "Requirement already satisfied: parsel>=1.5.0 in /opt/conda/lib/python3.8/site-packages (from Scrapy) (1.6.0)\n",
      "Requirement already satisfied: h2<4.0,>=3.0 in /opt/conda/lib/python3.8/site-packages (from Scrapy) (3.2.0)\n",
      "Requirement already satisfied: service-identity>=16.0.0 in /opt/conda/lib/python3.8/site-packages (from Scrapy) (21.1.0)\n",
      "Requirement already satisfied: itemloaders>=1.0.1 in /opt/conda/lib/python3.8/site-packages (from Scrapy) (1.0.4)\n",
      "Requirement already satisfied: protego>=0.1.15 in /opt/conda/lib/python3.8/site-packages (from Scrapy) (0.1.16)\n",
      "Requirement already satisfied: zope.interface>=4.1.3 in /opt/conda/lib/python3.8/site-packages (from Scrapy) (5.4.0)\n",
      "Requirement already satisfied: cryptography>=2.0 in /opt/conda/lib/python3.8/site-packages (from Scrapy) (3.1.1)\n",
      "Requirement already satisfied: PyDispatcher>=2.0.5; platform_python_implementation == \"CPython\" in /opt/conda/lib/python3.8/site-packages (from Scrapy) (2.0.5)\n",
      "Requirement already satisfied: itemadapter>=0.1.0 in /opt/conda/lib/python3.8/site-packages (from Scrapy) (0.4.0)\n",
      "Requirement already satisfied: lxml>=3.5.0; platform_python_implementation == \"CPython\" in /opt/conda/lib/python3.8/site-packages (from Scrapy) (4.6.4)\n",
      "Requirement already satisfied: cssselect>=0.9.1 in /opt/conda/lib/python3.8/site-packages (from Scrapy) (1.1.0)\n",
      "Requirement already satisfied: w3lib>=1.17.0 in /opt/conda/lib/python3.8/site-packages (from Scrapy) (1.22.0)\n",
      "Requirement already satisfied: queuelib>=1.4.2 in /opt/conda/lib/python3.8/site-packages (from Scrapy) (1.6.2)\n",
      "Requirement already satisfied: six>=1.5.2 in /opt/conda/lib/python3.8/site-packages (from pyOpenSSL>=16.2.0->Scrapy) (1.15.0)\n",
      "Requirement already satisfied: Automat>=0.8.0 in /opt/conda/lib/python3.8/site-packages (from Twisted[http2]>=17.9.0->Scrapy) (20.2.0)\n",
      "Requirement already satisfied: incremental>=21.3.0 in /opt/conda/lib/python3.8/site-packages (from Twisted[http2]>=17.9.0->Scrapy) (21.3.0)\n",
      "Requirement already satisfied: constantly>=15.1 in /opt/conda/lib/python3.8/site-packages (from Twisted[http2]>=17.9.0->Scrapy) (15.1.0)\n",
      "Requirement already satisfied: typing-extensions>=3.6.5 in /opt/conda/lib/python3.8/site-packages (from Twisted[http2]>=17.9.0->Scrapy) (3.7.4.2)\n",
      "Requirement already satisfied: hyperlink>=17.1.1 in /opt/conda/lib/python3.8/site-packages (from Twisted[http2]>=17.9.0->Scrapy) (21.0.0)\n",
      "Requirement already satisfied: attrs>=19.2.0 in /opt/conda/lib/python3.8/site-packages (from Twisted[http2]>=17.9.0->Scrapy) (20.2.0)\n",
      "Requirement already satisfied: priority<2.0,>=1.1.0; extra == \"http2\" in /opt/conda/lib/python3.8/site-packages (from Twisted[http2]>=17.9.0->Scrapy) (1.3.0)\n",
      "Requirement already satisfied: hyperframe<6,>=5.2.0 in /opt/conda/lib/python3.8/site-packages (from h2<4.0,>=3.0->Scrapy) (5.2.0)\n",
      "Requirement already satisfied: hpack<4,>=3.0 in /opt/conda/lib/python3.8/site-packages (from h2<4.0,>=3.0->Scrapy) (3.0.0)\n",
      "Requirement already satisfied: pyasn1 in /opt/conda/lib/python3.8/site-packages (from service-identity>=16.0.0->Scrapy) (0.4.8)\n",
      "Requirement already satisfied: pyasn1-modules in /opt/conda/lib/python3.8/site-packages (from service-identity>=16.0.0->Scrapy) (0.2.8)\n",
      "Requirement already satisfied: jmespath>=0.9.5 in /opt/conda/lib/python3.8/site-packages (from itemloaders>=1.0.1->Scrapy) (0.10.0)\n",
      "Requirement already satisfied: setuptools in /opt/conda/lib/python3.8/site-packages (from zope.interface>=4.1.3->Scrapy) (49.6.0.post20201009)\n",
      "Requirement already satisfied: cffi!=1.11.3,>=1.8 in /opt/conda/lib/python3.8/site-packages (from cryptography>=2.0->Scrapy) (1.14.3)\n",
      "Requirement already satisfied: idna>=2.5 in /opt/conda/lib/python3.8/site-packages (from hyperlink>=17.1.1->Twisted[http2]>=17.9.0->Scrapy) (2.10)\n",
      "Requirement already satisfied: pycparser in /opt/conda/lib/python3.8/site-packages (from cffi!=1.11.3,>=1.8->cryptography>=2.0->Scrapy) (2.20)\n"
     ]
    }
   ],
   "source": [
    "!pip install Scrapy"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Import adequate librairies for further use"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os \n",
    "import logging\n",
    "import scrapy\n",
    "from scrapy.crawler import CrawlerProcess"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [],
   "source": [
    "class BookingSpider(scrapy.Spider):\n",
    "\n",
    "    \n",
    "    name = \"booking\"      \n",
    "    \n",
    "    list_url = []\n",
    "    for i in range (0, len(list_cities)):\n",
    "        list_url.append(\"https://www.booking.com/searchresults.html?ss={}&order=bayesian_review_score\".format(list_cities[i]))\n",
    "        \n",
    "    start_urls = list_url\n",
    "    \n",
    "    #start_urls = [\"https://www.booking.com/searchresults.fr.html?ss=saint malo&nflt=distance%3D3000%3Breview_score%3D70%3B\",\n",
    "    #              \"https://www.booking.com/searchresults.fr.html?ss=reims&nflt=distance%3D3000%3Breview_score%3D70%3B\"]\n",
    "                \n",
    "    # Callback function that will be called when starting your spider\n",
    "    \n",
    "    def parse(self, response):\n",
    "        hotels = response.css('div.sr_item_no_dates')\n",
    "        for hotel in hotels:\n",
    "            yield {\n",
    "                'hotel_name': hotel.css('span.sr-hotel__name::text').get(),\n",
    "                'hotel_review': hotel.css('div.bui-review-score__badge::text').get(),\n",
    "                'hotel_gps' : hotel.css('a::attr(data-coords)').get(),\n",
    "                'hotel_description': hotel.css('div.hotel_desc::text').get(),\n",
    "                'hotel_link': 'https://www.booking.com'+hotel.css('a::attr(href)').get(),\n",
    "                'city_name': hotel.css('a.bui-link::text').get(),\n",
    "            }\n",
    "    \n",
    "    \n",
    "            #try:\n",
    "                # Select the NEXT button and store it in next_page\n",
    "                #next_page = response.css('li.bui-pagination__next-arrow a').attrib[\"href\"]\n",
    "            #except KeyError:\n",
    "                # In the last page, there won't be any \"href\" and a KeyError will be raised\n",
    "                ##logging.info('No next page. Terminating crawling process.')\n",
    "            #else:\n",
    "                # If# a next page is found, execute the parse method once again\n",
    "                #yield response.follow(next_page, callback=self.parse)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2021-11-07 17:16:40 [scrapy.utils.log] INFO: Scrapy 2.5.1 started (bot: scrapybot)\n",
      "2021-11-07 17:16:40 [scrapy.utils.log] INFO: Versions: lxml 4.6.4.0, libxml2 2.9.10, cssselect 1.1.0, parsel 1.6.0, w3lib 1.22.0, Twisted 21.7.0, Python 3.8.6 | packaged by conda-forge | (default, Oct  7 2020, 19:08:05) - [GCC 7.5.0], pyOpenSSL 19.1.0 (OpenSSL 1.1.1h  22 Sep 2020), cryptography 3.1.1, Platform Linux-5.4.129+-x86_64-with-glibc2.10\n",
      "2021-11-07 17:16:40 [scrapy.crawler] INFO: Overridden settings:\n",
      "{'AUTOTHROTTLE_ENABLED': True,\n",
      " 'LOG_LEVEL': 20,\n",
      " 'USER_AGENT': 'Chrome/Version 93.0.4577.82 (Macintosh; Intel Mac OS X '\n",
      "               '10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) '\n",
      "               'Chrome/93.0.4577.82 Safari/537.36'}\n",
      "2021-11-07 17:16:40 [scrapy.extensions.telnet] INFO: Telnet Password: b11754f84ec817e0\n",
      "2021-11-07 17:16:40 [scrapy.middleware] INFO: Enabled extensions:\n",
      "['scrapy.extensions.corestats.CoreStats',\n",
      " 'scrapy.extensions.telnet.TelnetConsole',\n",
      " 'scrapy.extensions.memusage.MemoryUsage',\n",
      " 'scrapy.extensions.feedexport.FeedExporter',\n",
      " 'scrapy.extensions.logstats.LogStats',\n",
      " 'scrapy.extensions.throttle.AutoThrottle']\n",
      "2021-11-07 17:16:40 [scrapy.middleware] INFO: Enabled downloader middlewares:\n",
      "['scrapy.downloadermiddlewares.httpauth.HttpAuthMiddleware',\n",
      " 'scrapy.downloadermiddlewares.downloadtimeout.DownloadTimeoutMiddleware',\n",
      " 'scrapy.downloadermiddlewares.defaultheaders.DefaultHeadersMiddleware',\n",
      " 'scrapy.downloadermiddlewares.useragent.UserAgentMiddleware',\n",
      " 'scrapy.downloadermiddlewares.retry.RetryMiddleware',\n",
      " 'scrapy.downloadermiddlewares.redirect.MetaRefreshMiddleware',\n",
      " 'scrapy.downloadermiddlewares.httpcompression.HttpCompressionMiddleware',\n",
      " 'scrapy.downloadermiddlewares.redirect.RedirectMiddleware',\n",
      " 'scrapy.downloadermiddlewares.cookies.CookiesMiddleware',\n",
      " 'scrapy.downloadermiddlewares.httpproxy.HttpProxyMiddleware',\n",
      " 'scrapy.downloadermiddlewares.stats.DownloaderStats']\n",
      "2021-11-07 17:16:41 [scrapy.middleware] INFO: Enabled spider middlewares:\n",
      "['scrapy.spidermiddlewares.httperror.HttpErrorMiddleware',\n",
      " 'scrapy.spidermiddlewares.offsite.OffsiteMiddleware',\n",
      " 'scrapy.spidermiddlewares.referer.RefererMiddleware',\n",
      " 'scrapy.spidermiddlewares.urllength.UrlLengthMiddleware',\n",
      " 'scrapy.spidermiddlewares.depth.DepthMiddleware']\n",
      "2021-11-07 17:16:41 [scrapy.middleware] INFO: Enabled item pipelines:\n",
      "[]\n",
      "2021-11-07 17:16:41 [scrapy.core.engine] INFO: Spider opened\n",
      "2021-11-07 17:16:41 [scrapy.extensions.logstats] INFO: Crawled 0 pages (at 0 pages/min), scraped 0 items (at 0 items/min)\n",
      "2021-11-07 17:16:41 [scrapy.extensions.telnet] INFO: Telnet console listening on 127.0.0.1:6023\n",
      "2021-11-07 17:17:02 [scrapy.core.engine] INFO: Closing spider (finished)\n",
      "2021-11-07 17:17:02 [scrapy.statscollectors] INFO: Dumping Scrapy stats:\n",
      "{'downloader/request_bytes': 21769,\n",
      " 'downloader/request_count': 35,\n",
      " 'downloader/request_method_count/GET': 35,\n",
      " 'downloader/response_bytes': 6061085,\n",
      " 'downloader/response_count': 35,\n",
      " 'downloader/response_status_count/200': 35,\n",
      " 'elapsed_time_seconds': 21.751751,\n",
      " 'finish_reason': 'finished',\n",
      " 'finish_time': datetime.datetime(2021, 11, 7, 17, 17, 2, 760233),\n",
      " 'httpcompression/response_bytes': 36839906,\n",
      " 'httpcompression/response_count': 35,\n",
      " 'log_count/INFO': 10,\n",
      " 'memusage/max': 131768320,\n",
      " 'memusage/startup': 131768320,\n",
      " 'response_received_count': 35,\n",
      " 'scheduler/dequeued': 35,\n",
      " 'scheduler/dequeued/memory': 35,\n",
      " 'scheduler/enqueued': 35,\n",
      " 'scheduler/enqueued/memory': 35,\n",
      " 'start_time': datetime.datetime(2021, 11, 7, 17, 16, 41, 8482)}\n",
      "2021-11-07 17:17:02 [scrapy.core.engine] INFO: Spider closed (finished)\n"
     ]
    }
   ],
   "source": [
    "# Name of the file where the results will be saved\n",
    "filename = \"hotels_ok_cities.json\"\n",
    "\n",
    "# If file already exists, delete it before crawling (because Scrapy will \n",
    "# concatenate the last and new results otherwise)\n",
    "if filename in os.listdir('src/'):\n",
    "        os.remove('src/' + filename)\n",
    "\n",
    "# Declare a new CrawlerProcess with some settings\n",
    "## USER_AGENT => Simulates a browser on an OS\n",
    "## LOG_LEVEL => Minimal Level of Log \n",
    "## FEEDS => Where the file will be stored \n",
    "## More info on built-in settings => https://docs.scrapy.org/en/latest/topics/settings.html?highlight=settings#settings\n",
    "process = CrawlerProcess(settings = {\n",
    "    'USER_AGENT': 'Chrome/Version 93.0.4577.82 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/93.0.4577.82 Safari/537.36',\n",
    "    'LOG_LEVEL': logging.INFO,\n",
    "    'AUTOTHROTTLE_ENABLED': True,\n",
    "    \"FEEDS\": {\n",
    "        'src/' + filename : {\"format\": \"json\"},\n",
    "    }\n",
    "})\n",
    "\n",
    "# Start the crawling using the spider you defined above\n",
    "process.crawl(BookingSpider)\n",
    "process.start()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Create a dataframe with the json data file collected during the scraping phase"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2021-11-07 17:17:02 [numexpr.utils] INFO: NumExpr defaulting to 4 threads.\n"
     ]
    }
   ],
   "source": [
    "df_scraped_data = pd.read_json ('hotels_ok_cities.json')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Have a look at the dataframe and see if the data must be cleaned before further processing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "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>hotel_name</th>\n",
       "      <th>hotel_review</th>\n",
       "      <th>hotel_gps</th>\n",
       "      <th>hotel_description</th>\n",
       "      <th>hotel_link</th>\n",
       "      <th>city_name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>\\nHôtel Vert\\n</td>\n",
       "      <td>8.1</td>\n",
       "      <td>-1.50961697101593,48.6147004862904</td>\n",
       "      <td>\\nHotel Vert offers pastel-coloured rooms with...</td>\n",
       "      <td>https://www.booking.com/hotel/fr/vert.en-gb.ht...</td>\n",
       "      <td>\\nLe Mont Saint Michel\\n</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>\\nMercure Mont Saint Michel\\n</td>\n",
       "      <td>8.2</td>\n",
       "      <td>-1.51054501533508,48.6142465295929</td>\n",
       "      <td>\\nThis Mercure is situated in parkland just 2 ...</td>\n",
       "      <td>https://www.booking.com/hotel/fr/mont-saint-mi...</td>\n",
       "      <td>\\nLe Mont Saint Michel\\n</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>\\nHotel Gabriel\\n</td>\n",
       "      <td>8.1</td>\n",
       "      <td>-1.5107099711895,48.6153814136834</td>\n",
       "      <td>\\nHotel Gabriel is located 1.6 Km from Mont Sa...</td>\n",
       "      <td>https://www.booking.com/hotel/fr/hotel-gabriel...</td>\n",
       "      <td>\\nLe Mont Saint Michel\\n</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>\\nAuberge Saint Pierre\\n</td>\n",
       "      <td>8.1</td>\n",
       "      <td>-1.5098825097084,48.6356879786914</td>\n",
       "      <td>\\nAuberge Saint Pierre is a 14th-century half-...</td>\n",
       "      <td>https://www.booking.com/hotel/fr/auberge-saint...</td>\n",
       "      <td>\\nLe Mont Saint Michel\\n</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>\\nLe Relais Saint Michel\\n</td>\n",
       "      <td>7.8</td>\n",
       "      <td>-1.51039615273476,48.6175872716489</td>\n",
       "      <td>\\nLe Relais Saint Michel is an hotel facing th...</td>\n",
       "      <td>https://www.booking.com/hotel/fr/le-relais-sai...</td>\n",
       "      <td>\\nLe Mont Saint Michel\\n</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      hotel_name  hotel_review  \\\n",
       "0                 \\nHôtel Vert\\n           8.1   \n",
       "1  \\nMercure Mont Saint Michel\\n           8.2   \n",
       "2              \\nHotel Gabriel\\n           8.1   \n",
       "3       \\nAuberge Saint Pierre\\n           8.1   \n",
       "4     \\nLe Relais Saint Michel\\n           7.8   \n",
       "\n",
       "                            hotel_gps  \\\n",
       "0  -1.50961697101593,48.6147004862904   \n",
       "1  -1.51054501533508,48.6142465295929   \n",
       "2   -1.5107099711895,48.6153814136834   \n",
       "3   -1.5098825097084,48.6356879786914   \n",
       "4  -1.51039615273476,48.6175872716489   \n",
       "\n",
       "                                   hotel_description  \\\n",
       "0  \\nHotel Vert offers pastel-coloured rooms with...   \n",
       "1  \\nThis Mercure is situated in parkland just 2 ...   \n",
       "2  \\nHotel Gabriel is located 1.6 Km from Mont Sa...   \n",
       "3  \\nAuberge Saint Pierre is a 14th-century half-...   \n",
       "4  \\nLe Relais Saint Michel is an hotel facing th...   \n",
       "\n",
       "                                          hotel_link                 city_name  \n",
       "0  https://www.booking.com/hotel/fr/vert.en-gb.ht...  \\nLe Mont Saint Michel\\n  \n",
       "1  https://www.booking.com/hotel/fr/mont-saint-mi...  \\nLe Mont Saint Michel\\n  \n",
       "2  https://www.booking.com/hotel/fr/hotel-gabriel...  \\nLe Mont Saint Michel\\n  \n",
       "3  https://www.booking.com/hotel/fr/auberge-saint...  \\nLe Mont Saint Michel\\n  \n",
       "4  https://www.booking.com/hotel/fr/le-relais-sai...  \\nLe Mont Saint Michel\\n  "
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_scraped_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "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>hotel_name</th>\n",
       "      <th>hotel_review</th>\n",
       "      <th>hotel_gps</th>\n",
       "      <th>hotel_description</th>\n",
       "      <th>hotel_link</th>\n",
       "      <th>city_name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>770</th>\n",
       "      <td>\\nPortes de la Rochelle\\n</td>\n",
       "      <td>8.9</td>\n",
       "      <td>-1.157235,46.139161</td>\n",
       "      <td>\\nPortes de la Rochelle is located in La Roche...</td>\n",
       "      <td>https://www.booking.com/hotel/fr/portes-de-la-...</td>\n",
       "      <td>\\nLa Rochelle\\n</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>771</th>\n",
       "      <td>\\nCentre Ville Location\\n</td>\n",
       "      <td>8.9</td>\n",
       "      <td>-1.145726,46.161589</td>\n",
       "      <td>\\nSet within 2.9 km of Minimes and 2.2 km of L...</td>\n",
       "      <td>https://www.booking.com/hotel/fr/centre-ville-...</td>\n",
       "      <td>\\nLa Rochelle City Centre, La Rochelle\\n</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>772</th>\n",
       "      <td>\\nCour des Dames\\n</td>\n",
       "      <td>9.1</td>\n",
       "      <td>-1.14913179999996,46.161138</td>\n",
       "      <td>\\nCour des Dames is a B&amp;B located in the heart...</td>\n",
       "      <td>https://www.booking.com/hotel/fr/cour-des-dame...</td>\n",
       "      <td>\\nLa Rochelle City Centre, La Rochelle\\n</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>773</th>\n",
       "      <td>\\nVue exceptionnelle sur les Tours ! Charme et...</td>\n",
       "      <td>9.2</td>\n",
       "      <td>-1.153347655816,46.153586424615</td>\n",
       "      <td>\\nLocated in the city centre of La Rochelle, j...</td>\n",
       "      <td>https://www.booking.com/hotel/fr/vue-exception...</td>\n",
       "      <td>\\nLa Rochelle City Centre, La Rochelle\\n</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>774</th>\n",
       "      <td>\\nLe cabanon\\n</td>\n",
       "      <td>9.4</td>\n",
       "      <td>-1.13908884047544,46.1686517218777</td>\n",
       "      <td>\\nBoasting a garden and a terrace, Le cabanon ...</td>\n",
       "      <td>https://www.booking.com/hotel/fr/le-cabanon-la...</td>\n",
       "      <td>\\nLa Rochelle\\n</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                            hotel_name  hotel_review  \\\n",
       "770                          \\nPortes de la Rochelle\\n           8.9   \n",
       "771                          \\nCentre Ville Location\\n           8.9   \n",
       "772                                 \\nCour des Dames\\n           9.1   \n",
       "773  \\nVue exceptionnelle sur les Tours ! Charme et...           9.2   \n",
       "774                                     \\nLe cabanon\\n           9.4   \n",
       "\n",
       "                              hotel_gps  \\\n",
       "770                 -1.157235,46.139161   \n",
       "771                 -1.145726,46.161589   \n",
       "772         -1.14913179999996,46.161138   \n",
       "773     -1.153347655816,46.153586424615   \n",
       "774  -1.13908884047544,46.1686517218777   \n",
       "\n",
       "                                     hotel_description  \\\n",
       "770  \\nPortes de la Rochelle is located in La Roche...   \n",
       "771  \\nSet within 2.9 km of Minimes and 2.2 km of L...   \n",
       "772  \\nCour des Dames is a B&B located in the heart...   \n",
       "773  \\nLocated in the city centre of La Rochelle, j...   \n",
       "774  \\nBoasting a garden and a terrace, Le cabanon ...   \n",
       "\n",
       "                                            hotel_link  \\\n",
       "770  https://www.booking.com/hotel/fr/portes-de-la-...   \n",
       "771  https://www.booking.com/hotel/fr/centre-ville-...   \n",
       "772  https://www.booking.com/hotel/fr/cour-des-dame...   \n",
       "773  https://www.booking.com/hotel/fr/vue-exception...   \n",
       "774  https://www.booking.com/hotel/fr/le-cabanon-la...   \n",
       "\n",
       "                                    city_name  \n",
       "770                           \\nLa Rochelle\\n  \n",
       "771  \\nLa Rochelle City Centre, La Rochelle\\n  \n",
       "772  \\nLa Rochelle City Centre, La Rochelle\\n  \n",
       "773  \\nLa Rochelle City Centre, La Rochelle\\n  \n",
       "774                           \\nLa Rochelle\\n  "
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_scraped_data.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['hotel_name', 'hotel_review', 'hotel_gps', 'hotel_description',\n",
       "       'hotel_link', 'city_name'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_scraped_data.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Test on a string to remove the \\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Superb tiny house in heart of Paris 1st!'"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "string_original = \"\\nSuperb tiny house in heart of Paris 1st!\\n\"\n",
    "string_modified = string_original.strip('\\n')\n",
    "string_modified"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Test to split the string in two parts to extract the latitude and longitude"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['2.33159851382641', '48.8527201051887']"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a = \"2.33159851382641,48.8527201051887\"\n",
    "b = a.split(\",\")\n",
    "b"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Remove the \\n from hotel_name, hotel_description and city_name columns with lambda functions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_scraped_data[\"hotel_name\"] = df_scraped_data[\"hotel_name\"].map(lambda x: x.strip('\\n'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_scraped_data[\"hotel_description\"] = df_scraped_data[\"hotel_description\"].map(lambda x: x.strip('\\n'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_scraped_data[\"city_name\"] = df_scraped_data[\"city_name\"].map(lambda x: x.strip('\\n'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "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>hotel_name</th>\n",
       "      <th>hotel_review</th>\n",
       "      <th>hotel_gps</th>\n",
       "      <th>hotel_description</th>\n",
       "      <th>hotel_link</th>\n",
       "      <th>city_name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Hôtel Vert</td>\n",
       "      <td>8.1</td>\n",
       "      <td>-1.50961697101593,48.6147004862904</td>\n",
       "      <td>Hotel Vert offers pastel-coloured rooms with a...</td>\n",
       "      <td>https://www.booking.com/hotel/fr/vert.en-gb.ht...</td>\n",
       "      <td>Le Mont Saint Michel</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Mercure Mont Saint Michel</td>\n",
       "      <td>8.2</td>\n",
       "      <td>-1.51054501533508,48.6142465295929</td>\n",
       "      <td>This Mercure is situated in parkland just 2 km...</td>\n",
       "      <td>https://www.booking.com/hotel/fr/mont-saint-mi...</td>\n",
       "      <td>Le Mont Saint Michel</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Hotel Gabriel</td>\n",
       "      <td>8.1</td>\n",
       "      <td>-1.5107099711895,48.6153814136834</td>\n",
       "      <td>Hotel Gabriel is located 1.6 Km from Mont Sain...</td>\n",
       "      <td>https://www.booking.com/hotel/fr/hotel-gabriel...</td>\n",
       "      <td>Le Mont Saint Michel</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  hotel_name  hotel_review  \\\n",
       "0                 Hôtel Vert           8.1   \n",
       "1  Mercure Mont Saint Michel           8.2   \n",
       "2              Hotel Gabriel           8.1   \n",
       "\n",
       "                            hotel_gps  \\\n",
       "0  -1.50961697101593,48.6147004862904   \n",
       "1  -1.51054501533508,48.6142465295929   \n",
       "2   -1.5107099711895,48.6153814136834   \n",
       "\n",
       "                                   hotel_description  \\\n",
       "0  Hotel Vert offers pastel-coloured rooms with a...   \n",
       "1  This Mercure is situated in parkland just 2 km...   \n",
       "2  Hotel Gabriel is located 1.6 Km from Mont Sain...   \n",
       "\n",
       "                                          hotel_link             city_name  \n",
       "0  https://www.booking.com/hotel/fr/vert.en-gb.ht...  Le Mont Saint Michel  \n",
       "1  https://www.booking.com/hotel/fr/mont-saint-mi...  Le Mont Saint Michel  \n",
       "2  https://www.booking.com/hotel/fr/hotel-gabriel...  Le Mont Saint Michel  "
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_scraped_data.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "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>hotel_name</th>\n",
       "      <th>hotel_review</th>\n",
       "      <th>hotel_gps</th>\n",
       "      <th>hotel_description</th>\n",
       "      <th>hotel_link</th>\n",
       "      <th>city_name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>772</th>\n",
       "      <td>Cour des Dames</td>\n",
       "      <td>9.1</td>\n",
       "      <td>-1.14913179999996,46.161138</td>\n",
       "      <td>Cour des Dames is a B&amp;B located in the heart o...</td>\n",
       "      <td>https://www.booking.com/hotel/fr/cour-des-dame...</td>\n",
       "      <td>La Rochelle City Centre, La Rochelle</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>773</th>\n",
       "      <td>Vue exceptionnelle sur les Tours ! Charme et t...</td>\n",
       "      <td>9.2</td>\n",
       "      <td>-1.153347655816,46.153586424615</td>\n",
       "      <td>Located in the city centre of La Rochelle, jus...</td>\n",
       "      <td>https://www.booking.com/hotel/fr/vue-exception...</td>\n",
       "      <td>La Rochelle City Centre, La Rochelle</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>774</th>\n",
       "      <td>Le cabanon</td>\n",
       "      <td>9.4</td>\n",
       "      <td>-1.13908884047544,46.1686517218777</td>\n",
       "      <td>Boasting a garden and a terrace, Le cabanon fe...</td>\n",
       "      <td>https://www.booking.com/hotel/fr/le-cabanon-la...</td>\n",
       "      <td>La Rochelle</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                            hotel_name  hotel_review  \\\n",
       "772                                     Cour des Dames           9.1   \n",
       "773  Vue exceptionnelle sur les Tours ! Charme et t...           9.2   \n",
       "774                                         Le cabanon           9.4   \n",
       "\n",
       "                              hotel_gps  \\\n",
       "772         -1.14913179999996,46.161138   \n",
       "773     -1.153347655816,46.153586424615   \n",
       "774  -1.13908884047544,46.1686517218777   \n",
       "\n",
       "                                     hotel_description  \\\n",
       "772  Cour des Dames is a B&B located in the heart o...   \n",
       "773  Located in the city centre of La Rochelle, jus...   \n",
       "774  Boasting a garden and a terrace, Le cabanon fe...   \n",
       "\n",
       "                                            hotel_link  \\\n",
       "772  https://www.booking.com/hotel/fr/cour-des-dame...   \n",
       "773  https://www.booking.com/hotel/fr/vue-exception...   \n",
       "774  https://www.booking.com/hotel/fr/le-cabanon-la...   \n",
       "\n",
       "                                city_name  \n",
       "772  La Rochelle City Centre, La Rochelle  \n",
       "773  La Rochelle City Centre, La Rochelle  \n",
       "774                           La Rochelle  "
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_scraped_data.tail(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(775, 6)"
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_scraped_data.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Extract the latitude and longitude from the hotel_gps column"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_scraped_data[[\"Longitude\",\"Latitude\"]] = df_scraped_data.hotel_gps.str.split(\",\", expand=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Extract the name of the city from the city_name column"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_scraped_data[[\"city_1\",\"city_2\"]] = df_scraped_data.city_name.str.split(\",\", expand=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Check the new columns created in the dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "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>hotel_name</th>\n",
       "      <th>hotel_review</th>\n",
       "      <th>hotel_gps</th>\n",
       "      <th>hotel_description</th>\n",
       "      <th>hotel_link</th>\n",
       "      <th>city_name</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>city_1</th>\n",
       "      <th>city_2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Hôtel Vert</td>\n",
       "      <td>8.1</td>\n",
       "      <td>-1.50961697101593,48.6147004862904</td>\n",
       "      <td>Hotel Vert offers pastel-coloured rooms with a...</td>\n",
       "      <td>https://www.booking.com/hotel/fr/vert.en-gb.ht...</td>\n",
       "      <td>Le Mont Saint Michel</td>\n",
       "      <td>-1.50961697101593</td>\n",
       "      <td>48.6147004862904</td>\n",
       "      <td>Le Mont Saint Michel</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Mercure Mont Saint Michel</td>\n",
       "      <td>8.2</td>\n",
       "      <td>-1.51054501533508,48.6142465295929</td>\n",
       "      <td>This Mercure is situated in parkland just 2 km...</td>\n",
       "      <td>https://www.booking.com/hotel/fr/mont-saint-mi...</td>\n",
       "      <td>Le Mont Saint Michel</td>\n",
       "      <td>-1.51054501533508</td>\n",
       "      <td>48.6142465295929</td>\n",
       "      <td>Le Mont Saint Michel</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Hotel Gabriel</td>\n",
       "      <td>8.1</td>\n",
       "      <td>-1.5107099711895,48.6153814136834</td>\n",
       "      <td>Hotel Gabriel is located 1.6 Km from Mont Sain...</td>\n",
       "      <td>https://www.booking.com/hotel/fr/hotel-gabriel...</td>\n",
       "      <td>Le Mont Saint Michel</td>\n",
       "      <td>-1.5107099711895</td>\n",
       "      <td>48.6153814136834</td>\n",
       "      <td>Le Mont Saint Michel</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Auberge Saint Pierre</td>\n",
       "      <td>8.1</td>\n",
       "      <td>-1.5098825097084,48.6356879786914</td>\n",
       "      <td>Auberge Saint Pierre is a 14th-century half-ti...</td>\n",
       "      <td>https://www.booking.com/hotel/fr/auberge-saint...</td>\n",
       "      <td>Le Mont Saint Michel</td>\n",
       "      <td>-1.5098825097084</td>\n",
       "      <td>48.6356879786914</td>\n",
       "      <td>Le Mont Saint Michel</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Le Relais Saint Michel</td>\n",
       "      <td>7.8</td>\n",
       "      <td>-1.51039615273476,48.6175872716489</td>\n",
       "      <td>Le Relais Saint Michel is an hotel facing the ...</td>\n",
       "      <td>https://www.booking.com/hotel/fr/le-relais-sai...</td>\n",
       "      <td>Le Mont Saint Michel</td>\n",
       "      <td>-1.51039615273476</td>\n",
       "      <td>48.6175872716489</td>\n",
       "      <td>Le Mont Saint Michel</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  hotel_name  hotel_review  \\\n",
       "0                 Hôtel Vert           8.1   \n",
       "1  Mercure Mont Saint Michel           8.2   \n",
       "2              Hotel Gabriel           8.1   \n",
       "3       Auberge Saint Pierre           8.1   \n",
       "4     Le Relais Saint Michel           7.8   \n",
       "\n",
       "                            hotel_gps  \\\n",
       "0  -1.50961697101593,48.6147004862904   \n",
       "1  -1.51054501533508,48.6142465295929   \n",
       "2   -1.5107099711895,48.6153814136834   \n",
       "3   -1.5098825097084,48.6356879786914   \n",
       "4  -1.51039615273476,48.6175872716489   \n",
       "\n",
       "                                   hotel_description  \\\n",
       "0  Hotel Vert offers pastel-coloured rooms with a...   \n",
       "1  This Mercure is situated in parkland just 2 km...   \n",
       "2  Hotel Gabriel is located 1.6 Km from Mont Sain...   \n",
       "3  Auberge Saint Pierre is a 14th-century half-ti...   \n",
       "4  Le Relais Saint Michel is an hotel facing the ...   \n",
       "\n",
       "                                          hotel_link             city_name  \\\n",
       "0  https://www.booking.com/hotel/fr/vert.en-gb.ht...  Le Mont Saint Michel   \n",
       "1  https://www.booking.com/hotel/fr/mont-saint-mi...  Le Mont Saint Michel   \n",
       "2  https://www.booking.com/hotel/fr/hotel-gabriel...  Le Mont Saint Michel   \n",
       "3  https://www.booking.com/hotel/fr/auberge-saint...  Le Mont Saint Michel   \n",
       "4  https://www.booking.com/hotel/fr/le-relais-sai...  Le Mont Saint Michel   \n",
       "\n",
       "           Longitude          Latitude                city_1 city_2  \n",
       "0  -1.50961697101593  48.6147004862904  Le Mont Saint Michel   None  \n",
       "1  -1.51054501533508  48.6142465295929  Le Mont Saint Michel   None  \n",
       "2   -1.5107099711895  48.6153814136834  Le Mont Saint Michel   None  \n",
       "3   -1.5098825097084  48.6356879786914  Le Mont Saint Michel   None  \n",
       "4  -1.51039615273476  48.6175872716489  Le Mont Saint Michel   None  "
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_scraped_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "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>hotel_name</th>\n",
       "      <th>hotel_review</th>\n",
       "      <th>hotel_gps</th>\n",
       "      <th>hotel_description</th>\n",
       "      <th>hotel_link</th>\n",
       "      <th>city_name</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>city_1</th>\n",
       "      <th>city_2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>770</th>\n",
       "      <td>Portes de la Rochelle</td>\n",
       "      <td>8.9</td>\n",
       "      <td>-1.157235,46.139161</td>\n",
       "      <td>Portes de la Rochelle is located in La Rochell...</td>\n",
       "      <td>https://www.booking.com/hotel/fr/portes-de-la-...</td>\n",
       "      <td>La Rochelle</td>\n",
       "      <td>-1.157235</td>\n",
       "      <td>46.139161</td>\n",
       "      <td>La Rochelle</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>771</th>\n",
       "      <td>Centre Ville Location</td>\n",
       "      <td>8.9</td>\n",
       "      <td>-1.145726,46.161589</td>\n",
       "      <td>Set within 2.9 km of Minimes and 2.2 km of L'E...</td>\n",
       "      <td>https://www.booking.com/hotel/fr/centre-ville-...</td>\n",
       "      <td>La Rochelle City Centre, La Rochelle</td>\n",
       "      <td>-1.145726</td>\n",
       "      <td>46.161589</td>\n",
       "      <td>La Rochelle City Centre</td>\n",
       "      <td>La Rochelle</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>772</th>\n",
       "      <td>Cour des Dames</td>\n",
       "      <td>9.1</td>\n",
       "      <td>-1.14913179999996,46.161138</td>\n",
       "      <td>Cour des Dames is a B&amp;B located in the heart o...</td>\n",
       "      <td>https://www.booking.com/hotel/fr/cour-des-dame...</td>\n",
       "      <td>La Rochelle City Centre, La Rochelle</td>\n",
       "      <td>-1.14913179999996</td>\n",
       "      <td>46.161138</td>\n",
       "      <td>La Rochelle City Centre</td>\n",
       "      <td>La Rochelle</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>773</th>\n",
       "      <td>Vue exceptionnelle sur les Tours ! Charme et t...</td>\n",
       "      <td>9.2</td>\n",
       "      <td>-1.153347655816,46.153586424615</td>\n",
       "      <td>Located in the city centre of La Rochelle, jus...</td>\n",
       "      <td>https://www.booking.com/hotel/fr/vue-exception...</td>\n",
       "      <td>La Rochelle City Centre, La Rochelle</td>\n",
       "      <td>-1.153347655816</td>\n",
       "      <td>46.153586424615</td>\n",
       "      <td>La Rochelle City Centre</td>\n",
       "      <td>La Rochelle</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>774</th>\n",
       "      <td>Le cabanon</td>\n",
       "      <td>9.4</td>\n",
       "      <td>-1.13908884047544,46.1686517218777</td>\n",
       "      <td>Boasting a garden and a terrace, Le cabanon fe...</td>\n",
       "      <td>https://www.booking.com/hotel/fr/le-cabanon-la...</td>\n",
       "      <td>La Rochelle</td>\n",
       "      <td>-1.13908884047544</td>\n",
       "      <td>46.1686517218777</td>\n",
       "      <td>La Rochelle</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                            hotel_name  hotel_review  \\\n",
       "770                              Portes de la Rochelle           8.9   \n",
       "771                              Centre Ville Location           8.9   \n",
       "772                                     Cour des Dames           9.1   \n",
       "773  Vue exceptionnelle sur les Tours ! Charme et t...           9.2   \n",
       "774                                         Le cabanon           9.4   \n",
       "\n",
       "                              hotel_gps  \\\n",
       "770                 -1.157235,46.139161   \n",
       "771                 -1.145726,46.161589   \n",
       "772         -1.14913179999996,46.161138   \n",
       "773     -1.153347655816,46.153586424615   \n",
       "774  -1.13908884047544,46.1686517218777   \n",
       "\n",
       "                                     hotel_description  \\\n",
       "770  Portes de la Rochelle is located in La Rochell...   \n",
       "771  Set within 2.9 km of Minimes and 2.2 km of L'E...   \n",
       "772  Cour des Dames is a B&B located in the heart o...   \n",
       "773  Located in the city centre of La Rochelle, jus...   \n",
       "774  Boasting a garden and a terrace, Le cabanon fe...   \n",
       "\n",
       "                                            hotel_link  \\\n",
       "770  https://www.booking.com/hotel/fr/portes-de-la-...   \n",
       "771  https://www.booking.com/hotel/fr/centre-ville-...   \n",
       "772  https://www.booking.com/hotel/fr/cour-des-dame...   \n",
       "773  https://www.booking.com/hotel/fr/vue-exception...   \n",
       "774  https://www.booking.com/hotel/fr/le-cabanon-la...   \n",
       "\n",
       "                                city_name          Longitude  \\\n",
       "770                           La Rochelle          -1.157235   \n",
       "771  La Rochelle City Centre, La Rochelle          -1.145726   \n",
       "772  La Rochelle City Centre, La Rochelle  -1.14913179999996   \n",
       "773  La Rochelle City Centre, La Rochelle    -1.153347655816   \n",
       "774                           La Rochelle  -1.13908884047544   \n",
       "\n",
       "             Latitude                   city_1        city_2  \n",
       "770         46.139161              La Rochelle          None  \n",
       "771         46.161589  La Rochelle City Centre   La Rochelle  \n",
       "772         46.161138  La Rochelle City Centre   La Rochelle  \n",
       "773   46.153586424615  La Rochelle City Centre   La Rochelle  \n",
       "774  46.1686517218777              La Rochelle          None  "
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_scraped_data.tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Looking closely at the variety of values of the \"city_name\" column of the dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Cassis                                      25\n",
       "Montauban                                   25\n",
       "Amiens                                      25\n",
       "Bayonne                                     25\n",
       "Saintes-Maries-de-la-Mer                    25\n",
       "                                            ..\n",
       "Carcassonne's Medieval City, Carcassonne     1\n",
       "Saurat                                       1\n",
       "Biert                                        1\n",
       "7th arr., Paris                              1\n",
       "3rd arr., Paris                              1\n",
       "Name: city_name, Length: 121, dtype: int64"
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_scraped_data[\"city_name\"].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Using geographical knowledge to change certain values of the \"city_name\" column so that they reflect the city/region they are close to for further processing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"Avignon City Centre, Avignon\", \"Avignon\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"Colmar Centre Ville\", \"Colmar\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"Dijon Centre Ville, Dijon\", \"Dijon\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"City-Centre - Petite France, Strasbourg\", \"Strasbourg\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"La Rochelle City Centre, La Rochelle\", \"La Rochelle\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"Rouen City Centre, Rouen\", \"Rouen\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"Annecy City Centre, Annecy\", \"Annecy\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"Lille Centre, Lille\", \"Lille\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"Le Mont Saint Michel\", \"Le Mont-Saint-Michel\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"Toulouse City-Centre, Toulouse\", \"Toulouse\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"Vieux Port - La Canebière, Marseille\", \"Marseille\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"Biarritz City Centre, Biarritz\", \"Biarritz\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"Saint Malo\", \"Saint-Malo\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"Besancon Old Town, Besançon\", \"Besançon\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"Vieux Lille, Lille\", \"Lille\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"Grenoble City Centre, Grenoble\", \"Grenoble\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"Aix-en-Provence Historic Centre, Aix-en-Provence\", \"Aix-en-Provence\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"Intra Muros, Saint Malo\", \"Saint-Malo\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"Castellane\", \"Gorges du Verdon\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"Perret, Le Havre\", \"Le Havre\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"Toulouse South-East, Toulouse\", \"Toulouse\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"5th arr., Lyon\", \"Lyon\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"8th arr., Paris\", \"Paris\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"Pontorson\", \"Le Mont-Saint-Michel\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"2nd arr., Lyon\", \"Lyon\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"Sillon, Saint Malo\", \"Saint-Malo\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"1st arr., Lyon\", \"Lyon\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"6th arr., Lyon\", \"Lyon\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"Nimes City Centre, Nîmes\", \"Nîmes\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"1st arr., Paris\", \"Paris\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"15th arr., Paris\", \"Paris\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"9th arr., Paris\", \"Paris\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"La Corniche, Marseille\", \"Marseille\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"Moustiers-Sainte-Marie\", \"Gorges du Verdon\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"Tarascon-sur-Ariège\", \"Ariège\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"Gréoux-les-Bains\", \"Gorges du Verdon\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"Aiguines\", \"Gorges du Verdon\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"Ax-les-Thermes\", \"Ariège\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"Beauvoir\", \"Le Mont-Saint-Michel\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"Quartier Européen - Orangerie, Strasbourg\", \"Strasbourg\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"Saint-Martin-de-Brômes\", \"Gorges du Verdon\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"Ardevon\", \"Le Mont-Saint-Michel\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"6th arr., Paris\", \"Paris\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"3rd arr., Lyon\", \"Lyon\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"Toulouse North, Toulouse\", \"Toulouse\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"17th arr., Paris\", \"Paris\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"Saint-Charles, Marseille\", \"Marseille\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"16th arr., Paris\", \"Paris\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"Castellane et Préfecture, Marseille\", \"Marseille\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"8th arr., Lyon\", \"Lyon\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"Saint-Servan, Saint Malo\", \"Saint-Malo\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"Neudorf - Port du Rhin, Strasbourg\", \"Strasbourg\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"7th arr., Paris\", \"Paris\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"Toulouse West, Toulouse\", \"Toulouse\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"9th arr., Lyon\", \"Lyon\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"Saint-Cyprien, Toulouse\", \"Toulouse\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"3rd arr., Paris\", \"Paris\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"Carcassonne's Medieval City, Carcassonne\", \"Carcassonne\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"Toulouse East, Toulouse\", \"Toulouse\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"5th arr., Paris\", \"Paris\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"Parame, Saint Malo\", \"Saint-Malo\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"Borely-Bonneveine, Marseille\", \"Marseille\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"La Cité, Saint Malo\", \"Saint-Malo\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"La Palud sur Verdon\", \"Gorges du Verdon\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"Minimes - Barriere de Paris, Toulouse\", \"Toulouse\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"Bourse-Esplanade, Strasbourg\", \"Strasbourg\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"4th arr., Paris\", \"Paris\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"Robertsau, Strasbourg\", \"Strasbourg\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"Wazemmes, Lille\", \"Lille\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"Intra Muros, Saint-Malo\", \"Saint-Malo\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"Sillon, Saint-Malo\", \"Saint-Malo\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"Saint-Servan, Saint-Malo\", \"Saint-Malo\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"Gorges du Verdon et Préfecture, Marseille\", \"Gorges du Verdon\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"1Paris\", \"Paris\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"Parame, Saint-Malo\", \"Saint-Malo\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"La Cité, Saint-Malo\", \"Saint-Malo\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"Colmar, Colmar\", \"Colmar\", regex = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Strasbourg                  25\n",
       "Avignon                     25\n",
       "Nîmes                       25\n",
       "Lyon                        25\n",
       "La Rochelle                 25\n",
       "Carcassonne                 25\n",
       "Paris                       25\n",
       "Annecy                      25\n",
       "Biarritz                    25\n",
       "Bormes-les-Mimosas          25\n",
       "Dijon                       25\n",
       "Montauban                   25\n",
       "Besançon                    25\n",
       "Uzès                        25\n",
       "Aix-en-Provence             25\n",
       "Cassis                      25\n",
       "Le Havre                    25\n",
       "Rouen                       25\n",
       "Bayonne                     25\n",
       "Saintes-Maries-de-la-Mer    25\n",
       "Lille                       25\n",
       "Colmar                      25\n",
       "Grenoble                    25\n",
       "Toulouse                    25\n",
       "Bayeux                      25\n",
       "Amiens                      25\n",
       "Saint-Malo                  25\n",
       "Marseille                   23\n",
       "Le Mont-Saint-Michel        22\n",
       "Gorges du Verdon            20\n",
       "Ariège                       6\n",
       "Mirepoix                     2\n",
       "Dragey                       2\n",
       "Belloc                       1\n",
       "Saint-Lary                   1\n",
       "Saurat                       1\n",
       "Oust                         1\n",
       "Bauduen                      1\n",
       "Moulis                       1\n",
       "La Martre                    1\n",
       "Allemagne-en-Provence        1\n",
       "Moissac-Bellevue             1\n",
       "Ignaux                       1\n",
       "Luzenac                      1\n",
       "Biert                        1\n",
       "Pamiers                      1\n",
       "Durfort                      1\n",
       "Seix                         1\n",
       "Aulus-les-Bains              1\n",
       "Saint-Girons                 1\n",
       "Roumoules                    1\n",
       "Tanis                        1\n",
       "Massat                       1\n",
       "Montaillou                   1\n",
       "Mazères                      1\n",
       "Riez                         1\n",
       "Montagnac                    1\n",
       "Ganac                        1\n",
       "Name: city_name, dtype: int64"
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_scraped_data[\"city_name\"].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Using geographical knowledge to change certain not so well-known villages of the \"city_name\" column so that they reflect the region/city they are close to for further processing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"Dragey\", \"Le Mont-Saint-Michel\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"Mirepoix\", \"Ariège\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"Mazères\", \"Ariège\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"Oust\", \"Ariège\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"Roumoules\", \"Gorges du Verdon\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"Montaillou\", \"Ariège\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"Ganac\", \"Ariège\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"Bauduen\", \"Gorges du Verdon\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"Tanis\", \"Le Mont-Saint-Michel\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"Pamiers\", \"Ariège\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"Moissac-Bellevue\", \"Gorges du Verdon\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"Riez\", \"Gorges du Verdon\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"Belloc\", \"Ariège\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"Luzenac\", \"Ariège\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"Saurat\", \"Ariège\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"Saint-Lary\", \"Ariège\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"Biert\", \"Ariège\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"Montagnac\", \"Nîmes\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"Ignaux\", \"Ariège\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"Aulus-les-Bains\", \"Ariège\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"Saint-Girons\", \"Ariège\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"Seix\", \"Ariège\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"Durfort\", \"Carcassonne\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"Allemagne-en-Provence\", \"Gorges du Verdon\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"La Martre\", \"Gorges du Verdon\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"Massat\", \"Ariège\", regex = True)\n",
    "df_scraped_data[\"city_name\"] = df_scraped_data.city_name.str.replace(\n",
    "    \"Moulis\", \"Ariège\", regex = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Gorges du Verdon            26\n",
       "Carcassonne                 26\n",
       "Nîmes                       26\n",
       "Strasbourg                  25\n",
       "La Rochelle                 25\n",
       "Cassis                      25\n",
       "Biarritz                    25\n",
       "Aix-en-Provence             25\n",
       "Uzès                        25\n",
       "Besançon                    25\n",
       "Montauban                   25\n",
       "Dijon                       25\n",
       "Avignon                     25\n",
       "Annecy                      25\n",
       "Paris                       25\n",
       "Rouen                       25\n",
       "Lyon                        25\n",
       "Colmar                      25\n",
       "Le Havre                    25\n",
       "Bormes-les-Mimosas          25\n",
       "Lille                       25\n",
       "Bayeux                      25\n",
       "Amiens                      25\n",
       "Le Mont-Saint-Michel        25\n",
       "Saintes-Maries-de-la-Mer    25\n",
       "Toulouse                    25\n",
       "Saint-Malo                  25\n",
       "Grenoble                    25\n",
       "Bayonne                     25\n",
       "Ariège                      24\n",
       "Marseille                   23\n",
       "Name: city_name, dtype: int64"
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_scraped_data[\"city_name\"].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Drop redundant column hotel_gps"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_scraped_data.drop(\"hotel_gps\", inplace=True, axis=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Converting the type of the \"Latitude\" and \"Longitude\" columns of the \"df_scraped_data\" to numeric"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_scraped_data[\"Latitude\"] = pd.to_numeric(df_scraped_data[\"Latitude\"])\n",
    "df_scraped_data[\"Longitude\"] = pd.to_numeric(df_scraped_data[\"Longitude\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['hotel_name', 'hotel_review', 'hotel_description', 'hotel_link',\n",
       "       'city_name', 'Longitude', 'Latitude', 'city_1', 'city_2'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_scraped_data.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Rounding the \"Latitude\" and \"Longitude\" columns of the \"df_scraped_data\" dataframe to 6 decimal places"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_scraped_data[\"Latitude\"] = round(df_scraped_data[\"Latitude\"], 6)\n",
    "df_scraped_data[\"Longitude\"] = round(df_scraped_data[\"Longitude\"], 6)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Creating the dataframe \"df_hotels_clean\" with \"city_name\" column renamed as \"City\" for further processing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_hotels_clean = df_scraped_data.rename(columns={\"city_name\": \"City\"})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(775, 9)"
      ]
     },
     "execution_count": 91,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_hotels_clean.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_hotels_clean.drop(\"city_1\", inplace=True, axis=1)\n",
    "df_hotels_clean.drop(\"city_2\", inplace=True, axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "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>hotel_name</th>\n",
       "      <th>hotel_review</th>\n",
       "      <th>hotel_description</th>\n",
       "      <th>hotel_link</th>\n",
       "      <th>City</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>Latitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Hôtel Vert</td>\n",
       "      <td>8.1</td>\n",
       "      <td>Hotel Vert offers pastel-coloured rooms with a...</td>\n",
       "      <td>https://www.booking.com/hotel/fr/vert.en-gb.ht...</td>\n",
       "      <td>Le Mont-Saint-Michel</td>\n",
       "      <td>-1.509617</td>\n",
       "      <td>48.614700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Mercure Mont Saint Michel</td>\n",
       "      <td>8.2</td>\n",
       "      <td>This Mercure is situated in parkland just 2 km...</td>\n",
       "      <td>https://www.booking.com/hotel/fr/mont-saint-mi...</td>\n",
       "      <td>Le Mont-Saint-Michel</td>\n",
       "      <td>-1.510545</td>\n",
       "      <td>48.614247</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Hotel Gabriel</td>\n",
       "      <td>8.1</td>\n",
       "      <td>Hotel Gabriel is located 1.6 Km from Mont Sain...</td>\n",
       "      <td>https://www.booking.com/hotel/fr/hotel-gabriel...</td>\n",
       "      <td>Le Mont-Saint-Michel</td>\n",
       "      <td>-1.510710</td>\n",
       "      <td>48.615381</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Auberge Saint Pierre</td>\n",
       "      <td>8.1</td>\n",
       "      <td>Auberge Saint Pierre is a 14th-century half-ti...</td>\n",
       "      <td>https://www.booking.com/hotel/fr/auberge-saint...</td>\n",
       "      <td>Le Mont-Saint-Michel</td>\n",
       "      <td>-1.509883</td>\n",
       "      <td>48.635688</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Le Relais Saint Michel</td>\n",
       "      <td>7.8</td>\n",
       "      <td>Le Relais Saint Michel is an hotel facing the ...</td>\n",
       "      <td>https://www.booking.com/hotel/fr/le-relais-sai...</td>\n",
       "      <td>Le Mont-Saint-Michel</td>\n",
       "      <td>-1.510396</td>\n",
       "      <td>48.617587</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  hotel_name  hotel_review  \\\n",
       "0                 Hôtel Vert           8.1   \n",
       "1  Mercure Mont Saint Michel           8.2   \n",
       "2              Hotel Gabriel           8.1   \n",
       "3       Auberge Saint Pierre           8.1   \n",
       "4     Le Relais Saint Michel           7.8   \n",
       "\n",
       "                                   hotel_description  \\\n",
       "0  Hotel Vert offers pastel-coloured rooms with a...   \n",
       "1  This Mercure is situated in parkland just 2 km...   \n",
       "2  Hotel Gabriel is located 1.6 Km from Mont Sain...   \n",
       "3  Auberge Saint Pierre is a 14th-century half-ti...   \n",
       "4  Le Relais Saint Michel is an hotel facing the ...   \n",
       "\n",
       "                                          hotel_link                  City  \\\n",
       "0  https://www.booking.com/hotel/fr/vert.en-gb.ht...  Le Mont-Saint-Michel   \n",
       "1  https://www.booking.com/hotel/fr/mont-saint-mi...  Le Mont-Saint-Michel   \n",
       "2  https://www.booking.com/hotel/fr/hotel-gabriel...  Le Mont-Saint-Michel   \n",
       "3  https://www.booking.com/hotel/fr/auberge-saint...  Le Mont-Saint-Michel   \n",
       "4  https://www.booking.com/hotel/fr/le-relais-sai...  Le Mont-Saint-Michel   \n",
       "\n",
       "   Longitude   Latitude  \n",
       "0  -1.509617  48.614700  \n",
       "1  -1.510545  48.614247  \n",
       "2  -1.510710  48.615381  \n",
       "3  -1.509883  48.635688  \n",
       "4  -1.510396  48.617587  "
      ]
     },
     "execution_count": 93,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_hotels_clean.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(775, 7)"
      ]
     },
     "execution_count": 94,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_hotels_clean.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Joining \"df_cities_clean\" and \"df_weather_info_clean\" dataframes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_cities_weather_clean = pd.merge(df_weather_info_clean, df_cities_clean, on = \"Latitude\", how = \"right\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "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>hotel_name</th>\n",
       "      <th>hotel_review</th>\n",
       "      <th>hotel_description</th>\n",
       "      <th>hotel_link</th>\n",
       "      <th>City</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>Latitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Hôtel Vert</td>\n",
       "      <td>8.1</td>\n",
       "      <td>Hotel Vert offers pastel-coloured rooms with a...</td>\n",
       "      <td>https://www.booking.com/hotel/fr/vert.en-gb.ht...</td>\n",
       "      <td>Le Mont-Saint-Michel</td>\n",
       "      <td>-1.509617</td>\n",
       "      <td>48.614700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Mercure Mont Saint Michel</td>\n",
       "      <td>8.2</td>\n",
       "      <td>This Mercure is situated in parkland just 2 km...</td>\n",
       "      <td>https://www.booking.com/hotel/fr/mont-saint-mi...</td>\n",
       "      <td>Le Mont-Saint-Michel</td>\n",
       "      <td>-1.510545</td>\n",
       "      <td>48.614247</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Hotel Gabriel</td>\n",
       "      <td>8.1</td>\n",
       "      <td>Hotel Gabriel is located 1.6 Km from Mont Sain...</td>\n",
       "      <td>https://www.booking.com/hotel/fr/hotel-gabriel...</td>\n",
       "      <td>Le Mont-Saint-Michel</td>\n",
       "      <td>-1.510710</td>\n",
       "      <td>48.615381</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  hotel_name  hotel_review  \\\n",
       "0                 Hôtel Vert           8.1   \n",
       "1  Mercure Mont Saint Michel           8.2   \n",
       "2              Hotel Gabriel           8.1   \n",
       "\n",
       "                                   hotel_description  \\\n",
       "0  Hotel Vert offers pastel-coloured rooms with a...   \n",
       "1  This Mercure is situated in parkland just 2 km...   \n",
       "2  Hotel Gabriel is located 1.6 Km from Mont Sain...   \n",
       "\n",
       "                                          hotel_link                  City  \\\n",
       "0  https://www.booking.com/hotel/fr/vert.en-gb.ht...  Le Mont-Saint-Michel   \n",
       "1  https://www.booking.com/hotel/fr/mont-saint-mi...  Le Mont-Saint-Michel   \n",
       "2  https://www.booking.com/hotel/fr/hotel-gabriel...  Le Mont-Saint-Michel   \n",
       "\n",
       "   Longitude   Latitude  \n",
       "0  -1.509617  48.614700  \n",
       "1  -1.510545  48.614247  \n",
       "2  -1.510710  48.615381  "
      ]
     },
     "execution_count": 96,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_hotels_clean.head(3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Joining \"df_hotels_clean\" and \"df_weather_info_clean\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_final = pd.merge(df_hotels_clean, df_cities_weather_clean, how='inner', left_on=[\"City\"], right_on = [\"City\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "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>Latitude</th>\n",
       "      <th>Longitude_x</th>\n",
       "      <th>date</th>\n",
       "      <th>time_sunrise</th>\n",
       "      <th>time_sunset</th>\n",
       "      <th>time_moonrise</th>\n",
       "      <th>time_moonset</th>\n",
       "      <th>temp_day</th>\n",
       "      <th>temp_min</th>\n",
       "      <th>temp_max</th>\n",
       "      <th>temp_night</th>\n",
       "      <th>temp_morning</th>\n",
       "      <th>feels_like_day</th>\n",
       "      <th>feels_like_night</th>\n",
       "      <th>feels_like_morning</th>\n",
       "      <th>pressure</th>\n",
       "      <th>humidity</th>\n",
       "      <th>dew_point</th>\n",
       "      <th>wind_speed</th>\n",
       "      <th>wind_deg</th>\n",
       "      <th>wind_gust</th>\n",
       "      <th>weather_id</th>\n",
       "      <th>weather_main</th>\n",
       "      <th>clouds</th>\n",
       "      <th>prob_rain</th>\n",
       "      <th>uv</th>\n",
       "      <th>City</th>\n",
       "      <th>Longitude_y</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>48.6355</td>\n",
       "      <td>-1.5103</td>\n",
       "      <td>2021-11-07 11:00:00</td>\n",
       "      <td>2021-11-07 07:01:59</td>\n",
       "      <td>2021-11-07 16:37:30</td>\n",
       "      <td>2021-11-07 10:27:00</td>\n",
       "      <td>2021-11-07 18:27:00</td>\n",
       "      <td>13.07</td>\n",
       "      <td>8.57</td>\n",
       "      <td>13.44</td>\n",
       "      <td>8.57</td>\n",
       "      <td>12.48</td>\n",
       "      <td>12.31</td>\n",
       "      <td>7.02</td>\n",
       "      <td>12.21</td>\n",
       "      <td>1025</td>\n",
       "      <td>72</td>\n",
       "      <td>7.90</td>\n",
       "      <td>7.05</td>\n",
       "      <td>318</td>\n",
       "      <td>11.52</td>\n",
       "      <td>Rain</td>\n",
       "      <td>Rain</td>\n",
       "      <td>100</td>\n",
       "      <td>0.35</td>\n",
       "      <td>1.35</td>\n",
       "      <td>Le Mont-Saint-Michel</td>\n",
       "      <td>-1.5103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>48.6355</td>\n",
       "      <td>-1.5103</td>\n",
       "      <td>2021-11-08 11:00:00</td>\n",
       "      <td>2021-11-08 07:03:34</td>\n",
       "      <td>2021-11-08 16:36:04</td>\n",
       "      <td>2021-11-08 11:41:00</td>\n",
       "      <td>2021-11-08 19:25:00</td>\n",
       "      <td>11.61</td>\n",
       "      <td>6.72</td>\n",
       "      <td>13.04</td>\n",
       "      <td>10.75</td>\n",
       "      <td>6.97</td>\n",
       "      <td>10.78</td>\n",
       "      <td>10.10</td>\n",
       "      <td>6.97</td>\n",
       "      <td>1026</td>\n",
       "      <td>75</td>\n",
       "      <td>7.19</td>\n",
       "      <td>2.28</td>\n",
       "      <td>16</td>\n",
       "      <td>2.96</td>\n",
       "      <td>Clouds</td>\n",
       "      <td>Clouds</td>\n",
       "      <td>72</td>\n",
       "      <td>0.02</td>\n",
       "      <td>1.14</td>\n",
       "      <td>Le Mont-Saint-Michel</td>\n",
       "      <td>-1.5103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>48.6355</td>\n",
       "      <td>-1.5103</td>\n",
       "      <td>2021-11-09 11:00:00</td>\n",
       "      <td>2021-11-09 07:05:09</td>\n",
       "      <td>2021-11-09 16:34:40</td>\n",
       "      <td>2021-11-09 12:40:00</td>\n",
       "      <td>2021-11-09 20:36:00</td>\n",
       "      <td>13.27</td>\n",
       "      <td>10.68</td>\n",
       "      <td>15.10</td>\n",
       "      <td>11.01</td>\n",
       "      <td>10.73</td>\n",
       "      <td>12.69</td>\n",
       "      <td>10.36</td>\n",
       "      <td>10.18</td>\n",
       "      <td>1027</td>\n",
       "      <td>78</td>\n",
       "      <td>9.30</td>\n",
       "      <td>3.03</td>\n",
       "      <td>178</td>\n",
       "      <td>3.86</td>\n",
       "      <td>Clouds</td>\n",
       "      <td>Clouds</td>\n",
       "      <td>95</td>\n",
       "      <td>0.04</td>\n",
       "      <td>1.43</td>\n",
       "      <td>Le Mont-Saint-Michel</td>\n",
       "      <td>-1.5103</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Latitude  Longitude_x                date        time_sunrise  \\\n",
       "0   48.6355      -1.5103 2021-11-07 11:00:00 2021-11-07 07:01:59   \n",
       "1   48.6355      -1.5103 2021-11-08 11:00:00 2021-11-08 07:03:34   \n",
       "2   48.6355      -1.5103 2021-11-09 11:00:00 2021-11-09 07:05:09   \n",
       "\n",
       "          time_sunset       time_moonrise        time_moonset  temp_day  \\\n",
       "0 2021-11-07 16:37:30 2021-11-07 10:27:00 2021-11-07 18:27:00     13.07   \n",
       "1 2021-11-08 16:36:04 2021-11-08 11:41:00 2021-11-08 19:25:00     11.61   \n",
       "2 2021-11-09 16:34:40 2021-11-09 12:40:00 2021-11-09 20:36:00     13.27   \n",
       "\n",
       "   temp_min  temp_max  temp_night  temp_morning  feels_like_day  \\\n",
       "0      8.57     13.44        8.57         12.48           12.31   \n",
       "1      6.72     13.04       10.75          6.97           10.78   \n",
       "2     10.68     15.10       11.01         10.73           12.69   \n",
       "\n",
       "   feels_like_night  feels_like_morning  pressure  humidity  dew_point  \\\n",
       "0              7.02               12.21      1025        72       7.90   \n",
       "1             10.10                6.97      1026        75       7.19   \n",
       "2             10.36               10.18      1027        78       9.30   \n",
       "\n",
       "   wind_speed  wind_deg  wind_gust weather_id weather_main  clouds  prob_rain  \\\n",
       "0        7.05       318      11.52       Rain         Rain     100       0.35   \n",
       "1        2.28        16       2.96     Clouds       Clouds      72       0.02   \n",
       "2        3.03       178       3.86     Clouds       Clouds      95       0.04   \n",
       "\n",
       "     uv                  City  Longitude_y  \n",
       "0  1.35  Le Mont-Saint-Michel      -1.5103  \n",
       "1  1.14  Le Mont-Saint-Michel      -1.5103  \n",
       "2  1.43  Le Mont-Saint-Michel      -1.5103  "
      ]
     },
     "execution_count": 98,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_cities_weather_clean.head(3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Verifying if all the 35 cities have been recorded in the final dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "31"
      ]
     },
     "execution_count": 99,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cities_df_final = df_final[\"City\"].unique()\n",
    "len(cities_df_final)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "35"
      ]
     },
     "execution_count": 100,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cities_df_cities_weather_clean = df_cities_weather_clean[\"City\"].unique()\n",
    "len(cities_df_cities_weather_clean)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "    }\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>Latitude</th>\n",
       "      <th>Longitude_x</th>\n",
       "      <th>date</th>\n",
       "      <th>time_sunrise</th>\n",
       "      <th>time_sunset</th>\n",
       "      <th>time_moonrise</th>\n",
       "      <th>time_moonset</th>\n",
       "      <th>temp_day</th>\n",
       "      <th>temp_min</th>\n",
       "      <th>temp_max</th>\n",
       "      <th>temp_night</th>\n",
       "      <th>temp_morning</th>\n",
       "      <th>feels_like_day</th>\n",
       "      <th>feels_like_night</th>\n",
       "      <th>feels_like_morning</th>\n",
       "      <th>pressure</th>\n",
       "      <th>humidity</th>\n",
       "      <th>dew_point</th>\n",
       "      <th>wind_speed</th>\n",
       "      <th>wind_deg</th>\n",
       "      <th>wind_gust</th>\n",
       "      <th>weather_id</th>\n",
       "      <th>weather_main</th>\n",
       "      <th>clouds</th>\n",
       "      <th>prob_rain</th>\n",
       "      <th>uv</th>\n",
       "      <th>City</th>\n",
       "      <th>Longitude_y</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>48.6355</td>\n",
       "      <td>-1.5103</td>\n",
       "      <td>2021-11-07 11:00:00</td>\n",
       "      <td>2021-11-07 07:01:59</td>\n",
       "      <td>2021-11-07 16:37:30</td>\n",
       "      <td>2021-11-07 10:27:00</td>\n",
       "      <td>2021-11-07 18:27:00</td>\n",
       "      <td>13.07</td>\n",
       "      <td>8.57</td>\n",
       "      <td>13.44</td>\n",
       "      <td>8.57</td>\n",
       "      <td>12.48</td>\n",
       "      <td>12.31</td>\n",
       "      <td>7.02</td>\n",
       "      <td>12.21</td>\n",
       "      <td>1025</td>\n",
       "      <td>72</td>\n",
       "      <td>7.90</td>\n",
       "      <td>7.05</td>\n",
       "      <td>318</td>\n",
       "      <td>11.52</td>\n",
       "      <td>Rain</td>\n",
       "      <td>Rain</td>\n",
       "      <td>100</td>\n",
       "      <td>0.35</td>\n",
       "      <td>1.35</td>\n",
       "      <td>Le Mont-Saint-Michel</td>\n",
       "      <td>-1.5103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>48.6355</td>\n",
       "      <td>-1.5103</td>\n",
       "      <td>2021-11-08 11:00:00</td>\n",
       "      <td>2021-11-08 07:03:34</td>\n",
       "      <td>2021-11-08 16:36:04</td>\n",
       "      <td>2021-11-08 11:41:00</td>\n",
       "      <td>2021-11-08 19:25:00</td>\n",
       "      <td>11.61</td>\n",
       "      <td>6.72</td>\n",
       "      <td>13.04</td>\n",
       "      <td>10.75</td>\n",
       "      <td>6.97</td>\n",
       "      <td>10.78</td>\n",
       "      <td>10.10</td>\n",
       "      <td>6.97</td>\n",
       "      <td>1026</td>\n",
       "      <td>75</td>\n",
       "      <td>7.19</td>\n",
       "      <td>2.28</td>\n",
       "      <td>16</td>\n",
       "      <td>2.96</td>\n",
       "      <td>Clouds</td>\n",
       "      <td>Clouds</td>\n",
       "      <td>72</td>\n",
       "      <td>0.02</td>\n",
       "      <td>1.14</td>\n",
       "      <td>Le Mont-Saint-Michel</td>\n",
       "      <td>-1.5103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>48.6355</td>\n",
       "      <td>-1.5103</td>\n",
       "      <td>2021-11-09 11:00:00</td>\n",
       "      <td>2021-11-09 07:05:09</td>\n",
       "      <td>2021-11-09 16:34:40</td>\n",
       "      <td>2021-11-09 12:40:00</td>\n",
       "      <td>2021-11-09 20:36:00</td>\n",
       "      <td>13.27</td>\n",
       "      <td>10.68</td>\n",
       "      <td>15.10</td>\n",
       "      <td>11.01</td>\n",
       "      <td>10.73</td>\n",
       "      <td>12.69</td>\n",
       "      <td>10.36</td>\n",
       "      <td>10.18</td>\n",
       "      <td>1027</td>\n",
       "      <td>78</td>\n",
       "      <td>9.30</td>\n",
       "      <td>3.03</td>\n",
       "      <td>178</td>\n",
       "      <td>3.86</td>\n",
       "      <td>Clouds</td>\n",
       "      <td>Clouds</td>\n",
       "      <td>95</td>\n",
       "      <td>0.04</td>\n",
       "      <td>1.43</td>\n",
       "      <td>Le Mont-Saint-Michel</td>\n",
       "      <td>-1.5103</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Latitude  Longitude_x                date        time_sunrise  \\\n",
       "0   48.6355      -1.5103 2021-11-07 11:00:00 2021-11-07 07:01:59   \n",
       "1   48.6355      -1.5103 2021-11-08 11:00:00 2021-11-08 07:03:34   \n",
       "2   48.6355      -1.5103 2021-11-09 11:00:00 2021-11-09 07:05:09   \n",
       "\n",
       "          time_sunset       time_moonrise        time_moonset  temp_day  \\\n",
       "0 2021-11-07 16:37:30 2021-11-07 10:27:00 2021-11-07 18:27:00     13.07   \n",
       "1 2021-11-08 16:36:04 2021-11-08 11:41:00 2021-11-08 19:25:00     11.61   \n",
       "2 2021-11-09 16:34:40 2021-11-09 12:40:00 2021-11-09 20:36:00     13.27   \n",
       "\n",
       "   temp_min  temp_max  temp_night  temp_morning  feels_like_day  \\\n",
       "0      8.57     13.44        8.57         12.48           12.31   \n",
       "1      6.72     13.04       10.75          6.97           10.78   \n",
       "2     10.68     15.10       11.01         10.73           12.69   \n",
       "\n",
       "   feels_like_night  feels_like_morning  pressure  humidity  dew_point  \\\n",
       "0              7.02               12.21      1025        72       7.90   \n",
       "1             10.10                6.97      1026        75       7.19   \n",
       "2             10.36               10.18      1027        78       9.30   \n",
       "\n",
       "   wind_speed  wind_deg  wind_gust weather_id weather_main  clouds  prob_rain  \\\n",
       "0        7.05       318      11.52       Rain         Rain     100       0.35   \n",
       "1        2.28        16       2.96     Clouds       Clouds      72       0.02   \n",
       "2        3.03       178       3.86     Clouds       Clouds      95       0.04   \n",
       "\n",
       "     uv                  City  Longitude_y  \n",
       "0  1.35  Le Mont-Saint-Michel      -1.5103  \n",
       "1  1.14  Le Mont-Saint-Michel      -1.5103  \n",
       "2  1.43  Le Mont-Saint-Michel      -1.5103  "
      ]
     },
     "execution_count": 101,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_cities_weather_clean.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "31"
      ]
     },
     "execution_count": 102,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(df_hotels_clean[\"City\"].unique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "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>hotel_name</th>\n",
       "      <th>hotel_review</th>\n",
       "      <th>hotel_description</th>\n",
       "      <th>hotel_link</th>\n",
       "      <th>City</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>Latitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Hôtel Vert</td>\n",
       "      <td>8.1</td>\n",
       "      <td>Hotel Vert offers pastel-coloured rooms with a...</td>\n",
       "      <td>https://www.booking.com/hotel/fr/vert.en-gb.ht...</td>\n",
       "      <td>Le Mont-Saint-Michel</td>\n",
       "      <td>-1.509617</td>\n",
       "      <td>48.614700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Mercure Mont Saint Michel</td>\n",
       "      <td>8.2</td>\n",
       "      <td>This Mercure is situated in parkland just 2 km...</td>\n",
       "      <td>https://www.booking.com/hotel/fr/mont-saint-mi...</td>\n",
       "      <td>Le Mont-Saint-Michel</td>\n",
       "      <td>-1.510545</td>\n",
       "      <td>48.614247</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Hotel Gabriel</td>\n",
       "      <td>8.1</td>\n",
       "      <td>Hotel Gabriel is located 1.6 Km from Mont Sain...</td>\n",
       "      <td>https://www.booking.com/hotel/fr/hotel-gabriel...</td>\n",
       "      <td>Le Mont-Saint-Michel</td>\n",
       "      <td>-1.510710</td>\n",
       "      <td>48.615381</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Auberge Saint Pierre</td>\n",
       "      <td>8.1</td>\n",
       "      <td>Auberge Saint Pierre is a 14th-century half-ti...</td>\n",
       "      <td>https://www.booking.com/hotel/fr/auberge-saint...</td>\n",
       "      <td>Le Mont-Saint-Michel</td>\n",
       "      <td>-1.509883</td>\n",
       "      <td>48.635688</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Le Relais Saint Michel</td>\n",
       "      <td>7.8</td>\n",
       "      <td>Le Relais Saint Michel is an hotel facing the ...</td>\n",
       "      <td>https://www.booking.com/hotel/fr/le-relais-sai...</td>\n",
       "      <td>Le Mont-Saint-Michel</td>\n",
       "      <td>-1.510396</td>\n",
       "      <td>48.617587</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  hotel_name  hotel_review  \\\n",
       "0                 Hôtel Vert           8.1   \n",
       "1  Mercure Mont Saint Michel           8.2   \n",
       "2              Hotel Gabriel           8.1   \n",
       "3       Auberge Saint Pierre           8.1   \n",
       "4     Le Relais Saint Michel           7.8   \n",
       "\n",
       "                                   hotel_description  \\\n",
       "0  Hotel Vert offers pastel-coloured rooms with a...   \n",
       "1  This Mercure is situated in parkland just 2 km...   \n",
       "2  Hotel Gabriel is located 1.6 Km from Mont Sain...   \n",
       "3  Auberge Saint Pierre is a 14th-century half-ti...   \n",
       "4  Le Relais Saint Michel is an hotel facing the ...   \n",
       "\n",
       "                                          hotel_link                  City  \\\n",
       "0  https://www.booking.com/hotel/fr/vert.en-gb.ht...  Le Mont-Saint-Michel   \n",
       "1  https://www.booking.com/hotel/fr/mont-saint-mi...  Le Mont-Saint-Michel   \n",
       "2  https://www.booking.com/hotel/fr/hotel-gabriel...  Le Mont-Saint-Michel   \n",
       "3  https://www.booking.com/hotel/fr/auberge-saint...  Le Mont-Saint-Michel   \n",
       "4  https://www.booking.com/hotel/fr/le-relais-sai...  Le Mont-Saint-Michel   \n",
       "\n",
       "   Longitude   Latitude  \n",
       "0  -1.509617  48.614700  \n",
       "1  -1.510545  48.614247  \n",
       "2  -1.510710  48.615381  \n",
       "3  -1.509883  48.635688  \n",
       "4  -1.510396  48.617587  "
      ]
     },
     "execution_count": 103,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_hotels_clean.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Investigating the df_hotels_clean dataframe to see where the problem comes from"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "31"
      ]
     },
     "execution_count": 104,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(df_hotels_clean[\"City\"].unique())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Moving one step up and investigating the df_scraped_data dataframe if the problem originates from scraping"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "31"
      ]
     },
     "execution_count": 105,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(df_scraped_data[\"city_name\"].unique())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Indeed, it can be seen that information about the hotels of 4 cities have not been scraped"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Finding the 4 missing cities and trying to fix the problem so that the final dataset is complete and reliable"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {},
   "outputs": [],
   "source": [
    "scraped_city = df_scraped_data[\"city_name\"].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Château du Haut-Kœnigsbourg\n",
      "Eguisheim\n",
      "Aigues-Mortes\n",
      "Collioure\n"
     ]
    }
   ],
   "source": [
    "missing_city=[]\n",
    "for city in cities_df_cities_weather_clean:\n",
    "    if city not in scraped_city:\n",
    "        print(city)\n",
    "        missing_city.append(city)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Double-checking if these information are really absent from the scraped dataframe before taking necessary actions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {},
   "outputs": [],
   "source": [
    "Hk_hotel = df_scraped_data[df_scraped_data[\"city_name\"] == \"Château du Haut-Kœnigsbourg\"]\n",
    "Eg_hotel = df_scraped_data[df_scraped_data[\"city_name\"] == \"Eguisheim\"]\n",
    "Ag_hotel = df_scraped_data[df_scraped_data[\"city_name\"] == \"Aigues-Mortes\"]\n",
    "Col_hotel = df_scraped_data[df_scraped_data[\"city_name\"] == \"Collioure\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Empty DataFrame\n",
      "Columns: [hotel_name, hotel_review, hotel_description, hotel_link, city_name, Longitude, Latitude, city_1, city_2]\n",
      "Index: []\n",
      "Empty DataFrame\n",
      "Columns: [hotel_name, hotel_review, hotel_description, hotel_link, city_name, Longitude, Latitude, city_1, city_2]\n",
      "Index: []\n",
      "Empty DataFrame\n",
      "Columns: [hotel_name, hotel_review, hotel_description, hotel_link, city_name, Longitude, Latitude, city_1, city_2]\n",
      "Index: []\n",
      "Empty DataFrame\n",
      "Columns: [hotel_name, hotel_review, hotel_description, hotel_link, city_name, Longitude, Latitude, city_1, city_2]\n",
      "Index: []\n"
     ]
    }
   ],
   "source": [
    "print(Hk_hotel)\n",
    "print(Eg_hotel)\n",
    "print(Ag_hotel)\n",
    "print(Col_hotel)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### The columns \"temp_day\", \"humidity\", \"wind_speed\" and \"weather_id\" will be used for further processing"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### All the columns which will not be exploited for the coming steps are dropped"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_final.drop(\"Latitude_y\", inplace=True, axis=1)\n",
    "df_final.drop(\"Longitude_x\", inplace=True, axis=1)\n",
    "df_final.drop(\"time_sunrise\", inplace=True, axis=1)\n",
    "df_final.drop(\"time_sunset\", inplace=True, axis=1)\n",
    "df_final.drop(\"time_moonrise\", inplace=True, axis=1)\n",
    "df_final.drop(\"time_moonset\", inplace=True, axis=1)\n",
    "df_final.drop(\"temp_min\", inplace=True, axis=1)\n",
    "df_final.drop(\"temp_max\", inplace=True, axis=1)\n",
    "df_final.drop(\"temp_night\", inplace=True, axis=1)\n",
    "df_final.drop(\"temp_morning\", inplace=True, axis=1)\n",
    "df_final.drop(\"feels_like_day\", inplace=True, axis=1)\n",
    "df_final.drop(\"feels_like_night\", inplace=True, axis=1)\n",
    "df_final.drop(\"feels_like_morning\", inplace=True, axis=1)\n",
    "df_final.drop(\"pressure\", inplace=True, axis=1)\n",
    "df_final.drop(\"dew_point\", inplace=True, axis=1)\n",
    "df_final.drop(\"wind_deg\", inplace=True, axis=1)\n",
    "df_final.drop(\"wind_gust\", inplace=True, axis=1)\n",
    "df_final.drop(\"clouds\", inplace=True, axis=1)\n",
    "df_final.drop(\"prob_rain\", inplace=True, axis=1)\n",
    "df_final.drop(\"uv\", inplace=True, axis=1)\n",
    "df_final.drop(\"Longitude_y\", inplace=True, axis=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Creating the \"df_ready_for_use\" which will be converted to a .csv and stored on AWS S3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_ready_for_use = df_final"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Writing the .csv file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_ready_for_use.to_csv(\"kayak.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Installing and importing boto3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: Boto3 in /opt/conda/lib/python3.8/site-packages (1.20.26)\n",
      "Requirement already satisfied: botocore<1.24.0,>=1.23.26 in /opt/conda/lib/python3.8/site-packages (from Boto3) (1.23.26)\n",
      "Requirement already satisfied: jmespath<1.0.0,>=0.7.1 in /opt/conda/lib/python3.8/site-packages (from Boto3) (0.10.0)\n",
      "Requirement already satisfied: s3transfer<0.6.0,>=0.5.0 in /opt/conda/lib/python3.8/site-packages (from Boto3) (0.5.0)\n",
      "Requirement already satisfied: urllib3<1.27,>=1.25.4 in /opt/conda/lib/python3.8/site-packages (from botocore<1.24.0,>=1.23.26->Boto3) (1.25.10)\n",
      "Requirement already satisfied: python-dateutil<3.0.0,>=2.1 in /opt/conda/lib/python3.8/site-packages (from botocore<1.24.0,>=1.23.26->Boto3) (2.8.1)\n",
      "Requirement already satisfied: six>=1.5 in /opt/conda/lib/python3.8/site-packages (from python-dateutil<3.0.0,>=2.1->botocore<1.24.0,>=1.23.26->Boto3) (1.15.0)\n"
     ]
    }
   ],
   "source": [
    "!pip install Boto3\n",
    "import boto3\n",
    "session = boto3.Session(aws_access_key_id=\"aws_access_key_id\", \n",
    "                        aws_secret_access_key=\"aws_secret_access_key\")\n",
    "\n",
    "\n",
    "# For security reasons, the aws_access_key_id and aws_secret_access_key have been replaced by fictitious ones\n",
    "# in the script after establishing a connexion with AWS Simple Storage Service (S3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Creating a resource session"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "s3 = session.resource(\"s3\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Creating a S3 bucket which will be called \"my-kayak-project\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "bucket_name =s3.create_bucket(Bucket=\"my-kayak-project\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "import csv"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Using the \"put()\" function to create an object within \"my-kayak-project\" bucket"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "put_object = s3.Object(\"my-kayak-project\", \"kayak.csv\").put(Body=open(\"kayak.csv\", \"rb\"))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Verifying if the kayak.csv file has been correctly stored in the \"my-kayak-project\" bucket of the S3 data lake"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "s3.Bucket(name='my-kayak-project')\n",
      "kayak.csv\n"
     ]
    }
   ],
   "source": [
    "for bucket in s3.buckets.all():\n",
    "    for key in bucket.objects.all():\n",
    "        print(bucket)\n",
    "        print(key.key)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Interacting with an Amazon Relational Database Service (RDS) instance to retrieve data with structured query language (SQL)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting psycopg2-binary\n",
      "  Using cached psycopg2_binary-2.9.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.0 MB)\n",
      "Installing collected packages: psycopg2-binary\n",
      "Successfully installed psycopg2-binary-2.9.2\n"
     ]
    }
   ],
   "source": [
    "!pip install psycopg2-binary"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [],
   "source": [
    "import psycopg2\n",
    "connection = psycopg2.connect(\n",
    "    host = \"workingdb.cfabcijyvozy.eu-west-3.rds.amazonaws.com\",\n",
    "    port = \"5432\",\n",
    "    user = \"postgres\",\n",
    "    password = \"thisisafictitiouspwd\",\n",
    "    database=\"postgres\"\n",
    "    )\n",
    "cursor=connection.cursor()\n",
    "\n",
    "# For security reasons, the real password has been replaced by a fictitious one in the script after data interchange\n",
    "# with AWS Relational Database Service"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Querying the database on an Amazon RDS instance and obtaining the first record as a Python object"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "('Hôtel Vert',\n",
       " '8.1',\n",
       " 'Hotel Vert offers pastel-coloured rooms with a private bathroom, TV and free Wi-Fi access. It is located 2 km from the Mont Saint-Michel tidal island on the Normandy Coast. ',\n",
       " 'https://www.booking.com/hotel/fr/vert.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=1&hpos=1&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl',\n",
       " 'Le Mont-Saint-Michel',\n",
       " -1.509617,\n",
       " 48.6147,\n",
       " '07/11/2021 11:00',\n",
       " 13.07,\n",
       " 'Rain')"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cursor.execute('SELECT * FROM \"AWS\".\"Amazon\"')\n",
    "cursor.fetchone()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Showing that the communication between the database on an Amazon RDS instance is working as expected"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('Hôtel Vert', '8.1', 'Hotel Vert offers pastel-coloured rooms with a private bathroom, TV and free Wi-Fi access. It is located 2 km from the Mont Saint-Michel tidal island on the Normandy Coast. ', 'https://www.booking.com/hotel/fr/vert.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=1&hpos=1&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.509617, 48.6147, '08/11/2021 11:00', 11.61, 'Clouds')\n",
      "('Hôtel Vert', '8.1', 'Hotel Vert offers pastel-coloured rooms with a private bathroom, TV and free Wi-Fi access. It is located 2 km from the Mont Saint-Michel tidal island on the Normandy Coast. ', 'https://www.booking.com/hotel/fr/vert.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=1&hpos=1&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.509617, 48.6147, '09/11/2021 11:00', 13.27, 'Clouds')\n",
      "('Hôtel Vert', '8.1', 'Hotel Vert offers pastel-coloured rooms with a private bathroom, TV and free Wi-Fi access. It is located 2 km from the Mont Saint-Michel tidal island on the Normandy Coast. ', 'https://www.booking.com/hotel/fr/vert.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=1&hpos=1&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.509617, 48.6147, '10/11/2021 11:00', 13.64, 'Clear')\n",
      "('Hôtel Vert', '8.1', 'Hotel Vert offers pastel-coloured rooms with a private bathroom, TV and free Wi-Fi access. It is located 2 km from the Mont Saint-Michel tidal island on the Normandy Coast. ', 'https://www.booking.com/hotel/fr/vert.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=1&hpos=1&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.509617, 48.6147, '11/11/2021 11:00', 12.82, 'Clouds')\n",
      "('Hôtel Vert', '8.1', 'Hotel Vert offers pastel-coloured rooms with a private bathroom, TV and free Wi-Fi access. It is located 2 km from the Mont Saint-Michel tidal island on the Normandy Coast. ', 'https://www.booking.com/hotel/fr/vert.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=1&hpos=1&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.509617, 48.6147, '12/11/2021 11:00', 12.15, 'Rain')\n",
      "('Hôtel Vert', '8.1', 'Hotel Vert offers pastel-coloured rooms with a private bathroom, TV and free Wi-Fi access. It is located 2 km from the Mont Saint-Michel tidal island on the Normandy Coast. ', 'https://www.booking.com/hotel/fr/vert.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=1&hpos=1&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.509617, 48.6147, '13/11/2021 11:00', 13.05, 'Rain')\n",
      "('Hôtel Vert', '8.1', 'Hotel Vert offers pastel-coloured rooms with a private bathroom, TV and free Wi-Fi access. It is located 2 km from the Mont Saint-Michel tidal island on the Normandy Coast. ', 'https://www.booking.com/hotel/fr/vert.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=1&hpos=1&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.509617, 48.6147, '14/11/2021 11:00', 12.06, 'Rain')\n",
      "('Mercure Mont Saint Michel', '8.2', 'This Mercure is situated in parkland just 2 km from the abbey of Mont Saint Michel. It offers spacious en suite rooms, a restaurant and bar and plenty of free on-site parking. ', 'https://www.booking.com/hotel/fr/mont-saint-michel.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=2&hpos=2&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.510545, 48.614247, '07/11/2021 11:00', 13.07, 'Rain')\n",
      "('Mercure Mont Saint Michel', '8.2', 'This Mercure is situated in parkland just 2 km from the abbey of Mont Saint Michel. It offers spacious en suite rooms, a restaurant and bar and plenty of free on-site parking. ', 'https://www.booking.com/hotel/fr/mont-saint-michel.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=2&hpos=2&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.510545, 48.614247, '08/11/2021 11:00', 11.61, 'Clouds')\n",
      "('Mercure Mont Saint Michel', '8.2', 'This Mercure is situated in parkland just 2 km from the abbey of Mont Saint Michel. It offers spacious en suite rooms, a restaurant and bar and plenty of free on-site parking. ', 'https://www.booking.com/hotel/fr/mont-saint-michel.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=2&hpos=2&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.510545, 48.614247, '09/11/2021 11:00', 13.27, 'Clouds')\n",
      "('Mercure Mont Saint Michel', '8.2', 'This Mercure is situated in parkland just 2 km from the abbey of Mont Saint Michel. It offers spacious en suite rooms, a restaurant and bar and plenty of free on-site parking. ', 'https://www.booking.com/hotel/fr/mont-saint-michel.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=2&hpos=2&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.510545, 48.614247, '10/11/2021 11:00', 13.64, 'Clear')\n",
      "('Mercure Mont Saint Michel', '8.2', 'This Mercure is situated in parkland just 2 km from the abbey of Mont Saint Michel. It offers spacious en suite rooms, a restaurant and bar and plenty of free on-site parking. ', 'https://www.booking.com/hotel/fr/mont-saint-michel.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=2&hpos=2&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.510545, 48.614247, '11/11/2021 11:00', 12.82, 'Clouds')\n",
      "('Mercure Mont Saint Michel', '8.2', 'This Mercure is situated in parkland just 2 km from the abbey of Mont Saint Michel. It offers spacious en suite rooms, a restaurant and bar and plenty of free on-site parking. ', 'https://www.booking.com/hotel/fr/mont-saint-michel.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=2&hpos=2&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.510545, 48.614247, '12/11/2021 11:00', 12.15, 'Rain')\n",
      "('Mercure Mont Saint Michel', '8.2', 'This Mercure is situated in parkland just 2 km from the abbey of Mont Saint Michel. It offers spacious en suite rooms, a restaurant and bar and plenty of free on-site parking. ', 'https://www.booking.com/hotel/fr/mont-saint-michel.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=2&hpos=2&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.510545, 48.614247, '13/11/2021 11:00', 13.05, 'Rain')\n",
      "('Mercure Mont Saint Michel', '8.2', 'This Mercure is situated in parkland just 2 km from the abbey of Mont Saint Michel. It offers spacious en suite rooms, a restaurant and bar and plenty of free on-site parking. ', 'https://www.booking.com/hotel/fr/mont-saint-michel.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=2&hpos=2&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.510545, 48.614247, '14/11/2021 11:00', 12.06, 'Rain')\n",
      "('Hotel Gabriel', '8.1', 'Hotel Gabriel is located 1.6 Km from Mont Saint-Michel. It offers free Wi-Fi access and en suite rooms just a 25-minute walk from the walls of the old city. ', 'https://www.booking.com/hotel/fr/hotel-gabriel.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=3&hpos=3&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.51071, 48.615381, '07/11/2021 11:00', 13.07, 'Rain')\n",
      "('Hotel Gabriel', '8.1', 'Hotel Gabriel is located 1.6 Km from Mont Saint-Michel. It offers free Wi-Fi access and en suite rooms just a 25-minute walk from the walls of the old city. ', 'https://www.booking.com/hotel/fr/hotel-gabriel.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=3&hpos=3&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.51071, 48.615381, '08/11/2021 11:00', 11.61, 'Clouds')\n",
      "('Hotel Gabriel', '8.1', 'Hotel Gabriel is located 1.6 Km from Mont Saint-Michel. It offers free Wi-Fi access and en suite rooms just a 25-minute walk from the walls of the old city. ', 'https://www.booking.com/hotel/fr/hotel-gabriel.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=3&hpos=3&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.51071, 48.615381, '09/11/2021 11:00', 13.27, 'Clouds')\n",
      "('Hotel Gabriel', '8.1', 'Hotel Gabriel is located 1.6 Km from Mont Saint-Michel. It offers free Wi-Fi access and en suite rooms just a 25-minute walk from the walls of the old city. ', 'https://www.booking.com/hotel/fr/hotel-gabriel.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=3&hpos=3&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.51071, 48.615381, '10/11/2021 11:00', 13.64, 'Clear')\n",
      "('Hotel Gabriel', '8.1', 'Hotel Gabriel is located 1.6 Km from Mont Saint-Michel. It offers free Wi-Fi access and en suite rooms just a 25-minute walk from the walls of the old city. ', 'https://www.booking.com/hotel/fr/hotel-gabriel.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=3&hpos=3&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.51071, 48.615381, '11/11/2021 11:00', 12.82, 'Clouds')\n",
      "('Hotel Gabriel', '8.1', 'Hotel Gabriel is located 1.6 Km from Mont Saint-Michel. It offers free Wi-Fi access and en suite rooms just a 25-minute walk from the walls of the old city. ', 'https://www.booking.com/hotel/fr/hotel-gabriel.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=3&hpos=3&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.51071, 48.615381, '12/11/2021 11:00', 12.15, 'Rain')\n",
      "('Hotel Gabriel', '8.1', 'Hotel Gabriel is located 1.6 Km from Mont Saint-Michel. It offers free Wi-Fi access and en suite rooms just a 25-minute walk from the walls of the old city. ', 'https://www.booking.com/hotel/fr/hotel-gabriel.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=3&hpos=3&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.51071, 48.615381, '13/11/2021 11:00', 13.05, 'Rain')\n",
      "('Hotel Gabriel', '8.1', 'Hotel Gabriel is located 1.6 Km from Mont Saint-Michel. It offers free Wi-Fi access and en suite rooms just a 25-minute walk from the walls of the old city. ', 'https://www.booking.com/hotel/fr/hotel-gabriel.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=3&hpos=3&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.51071, 48.615381, '14/11/2021 11:00', 12.06, 'Rain')\n",
      "('Auberge Saint Pierre', '8.1', 'Auberge Saint Pierre is a 14th-century half-timbered house located on Mont St Michel tidal island. It combines the period charm of exposed beams with modern comforts including TV and free Wi-Fi...', 'https://www.booking.com/hotel/fr/auberge-saint-pierre.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=4&hpos=4&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.509883, 48.635688, '07/11/2021 11:00', 13.07, 'Rain')\n",
      "('Auberge Saint Pierre', '8.1', 'Auberge Saint Pierre is a 14th-century half-timbered house located on Mont St Michel tidal island. It combines the period charm of exposed beams with modern comforts including TV and free Wi-Fi...', 'https://www.booking.com/hotel/fr/auberge-saint-pierre.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=4&hpos=4&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.509883, 48.635688, '08/11/2021 11:00', 11.61, 'Clouds')\n",
      "('Auberge Saint Pierre', '8.1', 'Auberge Saint Pierre is a 14th-century half-timbered house located on Mont St Michel tidal island. It combines the period charm of exposed beams with modern comforts including TV and free Wi-Fi...', 'https://www.booking.com/hotel/fr/auberge-saint-pierre.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=4&hpos=4&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.509883, 48.635688, '09/11/2021 11:00', 13.27, 'Clouds')\n",
      "('Auberge Saint Pierre', '8.1', 'Auberge Saint Pierre is a 14th-century half-timbered house located on Mont St Michel tidal island. It combines the period charm of exposed beams with modern comforts including TV and free Wi-Fi...', 'https://www.booking.com/hotel/fr/auberge-saint-pierre.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=4&hpos=4&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.509883, 48.635688, '10/11/2021 11:00', 13.64, 'Clear')\n",
      "('Auberge Saint Pierre', '8.1', 'Auberge Saint Pierre is a 14th-century half-timbered house located on Mont St Michel tidal island. It combines the period charm of exposed beams with modern comforts including TV and free Wi-Fi...', 'https://www.booking.com/hotel/fr/auberge-saint-pierre.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=4&hpos=4&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.509883, 48.635688, '11/11/2021 11:00', 12.82, 'Clouds')\n",
      "('Auberge Saint Pierre', '8.1', 'Auberge Saint Pierre is a 14th-century half-timbered house located on Mont St Michel tidal island. It combines the period charm of exposed beams with modern comforts including TV and free Wi-Fi...', 'https://www.booking.com/hotel/fr/auberge-saint-pierre.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=4&hpos=4&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.509883, 48.635688, '12/11/2021 11:00', 12.15, 'Rain')\n",
      "('Auberge Saint Pierre', '8.1', 'Auberge Saint Pierre is a 14th-century half-timbered house located on Mont St Michel tidal island. It combines the period charm of exposed beams with modern comforts including TV and free Wi-Fi...', 'https://www.booking.com/hotel/fr/auberge-saint-pierre.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=4&hpos=4&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.509883, 48.635688, '13/11/2021 11:00', 13.05, 'Rain')\n",
      "('Auberge Saint Pierre', '8.1', 'Auberge Saint Pierre is a 14th-century half-timbered house located on Mont St Michel tidal island. It combines the period charm of exposed beams with modern comforts including TV and free Wi-Fi...', 'https://www.booking.com/hotel/fr/auberge-saint-pierre.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=4&hpos=4&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.509883, 48.635688, '14/11/2021 11:00', 12.06, 'Rain')\n",
      "('Le Relais Saint Michel', '7.8', 'Le Relais Saint Michel is an hotel facing the bay of Mont Saint-Michel. ', 'https://www.booking.com/hotel/fr/le-relais-saint-michel.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=5&hpos=5&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.510396, 48.617587, '07/11/2021 11:00', 13.07, 'Rain')\n",
      "('Le Relais Saint Michel', '7.8', 'Le Relais Saint Michel is an hotel facing the bay of Mont Saint-Michel. ', 'https://www.booking.com/hotel/fr/le-relais-saint-michel.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=5&hpos=5&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.510396, 48.617587, '08/11/2021 11:00', 11.61, 'Clouds')\n",
      "('Le Relais Saint Michel', '7.8', 'Le Relais Saint Michel is an hotel facing the bay of Mont Saint-Michel. ', 'https://www.booking.com/hotel/fr/le-relais-saint-michel.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=5&hpos=5&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.510396, 48.617587, '09/11/2021 11:00', 13.27, 'Clouds')\n",
      "('Le Relais Saint Michel', '7.8', 'Le Relais Saint Michel is an hotel facing the bay of Mont Saint-Michel. ', 'https://www.booking.com/hotel/fr/le-relais-saint-michel.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=5&hpos=5&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.510396, 48.617587, '10/11/2021 11:00', 13.64, 'Clear')\n",
      "('Le Relais Saint Michel', '7.8', 'Le Relais Saint Michel is an hotel facing the bay of Mont Saint-Michel. ', 'https://www.booking.com/hotel/fr/le-relais-saint-michel.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=5&hpos=5&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.510396, 48.617587, '11/11/2021 11:00', 12.82, 'Clouds')\n",
      "('Le Relais Saint Michel', '7.8', 'Le Relais Saint Michel is an hotel facing the bay of Mont Saint-Michel. ', 'https://www.booking.com/hotel/fr/le-relais-saint-michel.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=5&hpos=5&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.510396, 48.617587, '12/11/2021 11:00', 12.15, 'Rain')\n",
      "('Le Relais Saint Michel', '7.8', 'Le Relais Saint Michel is an hotel facing the bay of Mont Saint-Michel. ', 'https://www.booking.com/hotel/fr/le-relais-saint-michel.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=5&hpos=5&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.510396, 48.617587, '13/11/2021 11:00', 13.05, 'Rain')\n",
      "('Le Relais Saint Michel', '7.8', 'Le Relais Saint Michel is an hotel facing the bay of Mont Saint-Michel. ', 'https://www.booking.com/hotel/fr/le-relais-saint-michel.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=5&hpos=5&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.510396, 48.617587, '14/11/2021 11:00', 12.06, 'Rain')\n",
      "('La Mère Poulard', '7.3', 'Housed in a historical building, this hotel is ideally located in the heart of Mont Saint-Michel. The classic-style rooms overlook the bay, the abbey or the medieval city. ', 'https://www.booking.com/hotel/fr/la-mere-poulard.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=6&hpos=6&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.51054, 48.635085, '07/11/2021 11:00', 13.07, 'Rain')\n",
      "('La Mère Poulard', '7.3', 'Housed in a historical building, this hotel is ideally located in the heart of Mont Saint-Michel. The classic-style rooms overlook the bay, the abbey or the medieval city. ', 'https://www.booking.com/hotel/fr/la-mere-poulard.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=6&hpos=6&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.51054, 48.635085, '08/11/2021 11:00', 11.61, 'Clouds')\n",
      "('La Mère Poulard', '7.3', 'Housed in a historical building, this hotel is ideally located in the heart of Mont Saint-Michel. The classic-style rooms overlook the bay, the abbey or the medieval city. ', 'https://www.booking.com/hotel/fr/la-mere-poulard.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=6&hpos=6&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.51054, 48.635085, '09/11/2021 11:00', 13.27, 'Clouds')\n",
      "('La Mère Poulard', '7.3', 'Housed in a historical building, this hotel is ideally located in the heart of Mont Saint-Michel. The classic-style rooms overlook the bay, the abbey or the medieval city. ', 'https://www.booking.com/hotel/fr/la-mere-poulard.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=6&hpos=6&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.51054, 48.635085, '10/11/2021 11:00', 13.64, 'Clear')\n",
      "('La Mère Poulard', '7.3', 'Housed in a historical building, this hotel is ideally located in the heart of Mont Saint-Michel. The classic-style rooms overlook the bay, the abbey or the medieval city. ', 'https://www.booking.com/hotel/fr/la-mere-poulard.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=6&hpos=6&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.51054, 48.635085, '11/11/2021 11:00', 12.82, 'Clouds')\n",
      "('La Mère Poulard', '7.3', 'Housed in a historical building, this hotel is ideally located in the heart of Mont Saint-Michel. The classic-style rooms overlook the bay, the abbey or the medieval city. ', 'https://www.booking.com/hotel/fr/la-mere-poulard.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=6&hpos=6&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.51054, 48.635085, '12/11/2021 11:00', 12.15, 'Rain')\n",
      "('La Mère Poulard', '7.3', 'Housed in a historical building, this hotel is ideally located in the heart of Mont Saint-Michel. The classic-style rooms overlook the bay, the abbey or the medieval city. ', 'https://www.booking.com/hotel/fr/la-mere-poulard.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=6&hpos=6&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.51054, 48.635085, '13/11/2021 11:00', 13.05, 'Rain')\n",
      "('La Mère Poulard', '7.3', 'Housed in a historical building, this hotel is ideally located in the heart of Mont Saint-Michel. The classic-style rooms overlook the bay, the abbey or the medieval city. ', 'https://www.booking.com/hotel/fr/la-mere-poulard.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=6&hpos=6&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.51054, 48.635085, '14/11/2021 11:00', 12.06, 'Rain')\n",
      "('La Vieille Auberge', '7.4', 'La Vieille Auberge is located in the medieval village of Le Mont Saint Michel, just a short walk from the famous Mont Saint-Michel Abbey. ', 'https://www.booking.com/hotel/fr/la-vieille-auberge-le-mont-saint-michel.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=7&hpos=7&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.511457, 48.636063, '07/11/2021 11:00', 13.07, 'Rain')\n",
      "('La Vieille Auberge', '7.4', 'La Vieille Auberge is located in the medieval village of Le Mont Saint Michel, just a short walk from the famous Mont Saint-Michel Abbey. ', 'https://www.booking.com/hotel/fr/la-vieille-auberge-le-mont-saint-michel.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=7&hpos=7&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.511457, 48.636063, '08/11/2021 11:00', 11.61, 'Clouds')\n",
      "('La Vieille Auberge', '7.4', 'La Vieille Auberge is located in the medieval village of Le Mont Saint Michel, just a short walk from the famous Mont Saint-Michel Abbey. ', 'https://www.booking.com/hotel/fr/la-vieille-auberge-le-mont-saint-michel.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=7&hpos=7&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.511457, 48.636063, '09/11/2021 11:00', 13.27, 'Clouds')\n",
      "('La Vieille Auberge', '7.4', 'La Vieille Auberge is located in the medieval village of Le Mont Saint Michel, just a short walk from the famous Mont Saint-Michel Abbey. ', 'https://www.booking.com/hotel/fr/la-vieille-auberge-le-mont-saint-michel.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=7&hpos=7&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.511457, 48.636063, '10/11/2021 11:00', 13.64, 'Clear')\n",
      "('La Vieille Auberge', '7.4', 'La Vieille Auberge is located in the medieval village of Le Mont Saint Michel, just a short walk from the famous Mont Saint-Michel Abbey. ', 'https://www.booking.com/hotel/fr/la-vieille-auberge-le-mont-saint-michel.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=7&hpos=7&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.511457, 48.636063, '11/11/2021 11:00', 12.82, 'Clouds')\n",
      "('La Vieille Auberge', '7.4', 'La Vieille Auberge is located in the medieval village of Le Mont Saint Michel, just a short walk from the famous Mont Saint-Michel Abbey. ', 'https://www.booking.com/hotel/fr/la-vieille-auberge-le-mont-saint-michel.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=7&hpos=7&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.511457, 48.636063, '12/11/2021 11:00', 12.15, 'Rain')\n",
      "('La Vieille Auberge', '7.4', 'La Vieille Auberge is located in the medieval village of Le Mont Saint Michel, just a short walk from the famous Mont Saint-Michel Abbey. ', 'https://www.booking.com/hotel/fr/la-vieille-auberge-le-mont-saint-michel.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=7&hpos=7&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.511457, 48.636063, '13/11/2021 11:00', 13.05, 'Rain')\n",
      "('La Vieille Auberge', '7.4', 'La Vieille Auberge is located in the medieval village of Le Mont Saint Michel, just a short walk from the famous Mont Saint-Michel Abbey. ', 'https://www.booking.com/hotel/fr/la-vieille-auberge-le-mont-saint-michel.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=7&hpos=7&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.511457, 48.636063, '14/11/2021 11:00', 12.06, 'Rain')\n",
      "('Hôtel la Croix Blanche', '7.6', 'Situated in the heart of Mont Saint Michel medieval Village, Hôtel La Croix Blanche offers a terrace and a bar. The rooms at Hôtel La Croix Blanche have a flat-screen, satellite TV and a minibar. ', 'https://www.booking.com/hotel/fr/ha-el-la-croix-blanche.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=8&hpos=8&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.509861, 48.635734, '07/11/2021 11:00', 13.07, 'Rain')\n",
      "('Hôtel la Croix Blanche', '7.6', 'Situated in the heart of Mont Saint Michel medieval Village, Hôtel La Croix Blanche offers a terrace and a bar. The rooms at Hôtel La Croix Blanche have a flat-screen, satellite TV and a minibar. ', 'https://www.booking.com/hotel/fr/ha-el-la-croix-blanche.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=8&hpos=8&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.509861, 48.635734, '08/11/2021 11:00', 11.61, 'Clouds')\n",
      "('Hôtel la Croix Blanche', '7.6', 'Situated in the heart of Mont Saint Michel medieval Village, Hôtel La Croix Blanche offers a terrace and a bar. The rooms at Hôtel La Croix Blanche have a flat-screen, satellite TV and a minibar. ', 'https://www.booking.com/hotel/fr/ha-el-la-croix-blanche.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=8&hpos=8&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.509861, 48.635734, '09/11/2021 11:00', 13.27, 'Clouds')\n",
      "('Hôtel la Croix Blanche', '7.6', 'Situated in the heart of Mont Saint Michel medieval Village, Hôtel La Croix Blanche offers a terrace and a bar. The rooms at Hôtel La Croix Blanche have a flat-screen, satellite TV and a minibar. ', 'https://www.booking.com/hotel/fr/ha-el-la-croix-blanche.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=8&hpos=8&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.509861, 48.635734, '10/11/2021 11:00', 13.64, 'Clear')\n",
      "('Hôtel la Croix Blanche', '7.6', 'Situated in the heart of Mont Saint Michel medieval Village, Hôtel La Croix Blanche offers a terrace and a bar. The rooms at Hôtel La Croix Blanche have a flat-screen, satellite TV and a minibar. ', 'https://www.booking.com/hotel/fr/ha-el-la-croix-blanche.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=8&hpos=8&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.509861, 48.635734, '11/11/2021 11:00', 12.82, 'Clouds')\n",
      "('Hôtel la Croix Blanche', '7.6', 'Situated in the heart of Mont Saint Michel medieval Village, Hôtel La Croix Blanche offers a terrace and a bar. The rooms at Hôtel La Croix Blanche have a flat-screen, satellite TV and a minibar. ', 'https://www.booking.com/hotel/fr/ha-el-la-croix-blanche.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=8&hpos=8&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.509861, 48.635734, '12/11/2021 11:00', 12.15, 'Rain')\n",
      "('Hôtel la Croix Blanche', '7.6', 'Situated in the heart of Mont Saint Michel medieval Village, Hôtel La Croix Blanche offers a terrace and a bar. The rooms at Hôtel La Croix Blanche have a flat-screen, satellite TV and a minibar. ', 'https://www.booking.com/hotel/fr/ha-el-la-croix-blanche.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=8&hpos=8&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.509861, 48.635734, '13/11/2021 11:00', 13.05, 'Rain')\n",
      "('Hôtel la Croix Blanche', '7.6', 'Situated in the heart of Mont Saint Michel medieval Village, Hôtel La Croix Blanche offers a terrace and a bar. The rooms at Hôtel La Croix Blanche have a flat-screen, satellite TV and a minibar. ', 'https://www.booking.com/hotel/fr/ha-el-la-croix-blanche.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=8&hpos=8&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.509861, 48.635734, '14/11/2021 11:00', 12.06, 'Rain')\n",
      "('Le Saint Aubert', '7.3', 'Set amid lush greenery, just 2 km from the Mont Saint-Michel, the hotel welcomes you in a warm and friendly atmosphere. ', 'https://www.booking.com/hotel/fr/hotel-saint-aubert.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=9&hpos=9&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.510105, 48.612938, '07/11/2021 11:00', 13.07, 'Rain')\n",
      "('Le Saint Aubert', '7.3', 'Set amid lush greenery, just 2 km from the Mont Saint-Michel, the hotel welcomes you in a warm and friendly atmosphere. ', 'https://www.booking.com/hotel/fr/hotel-saint-aubert.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=9&hpos=9&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.510105, 48.612938, '08/11/2021 11:00', 11.61, 'Clouds')\n",
      "('Le Saint Aubert', '7.3', 'Set amid lush greenery, just 2 km from the Mont Saint-Michel, the hotel welcomes you in a warm and friendly atmosphere. ', 'https://www.booking.com/hotel/fr/hotel-saint-aubert.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=9&hpos=9&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.510105, 48.612938, '09/11/2021 11:00', 13.27, 'Clouds')\n",
      "('Le Saint Aubert', '7.3', 'Set amid lush greenery, just 2 km from the Mont Saint-Michel, the hotel welcomes you in a warm and friendly atmosphere. ', 'https://www.booking.com/hotel/fr/hotel-saint-aubert.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=9&hpos=9&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.510105, 48.612938, '10/11/2021 11:00', 13.64, 'Clear')\n",
      "('Le Saint Aubert', '7.3', 'Set amid lush greenery, just 2 km from the Mont Saint-Michel, the hotel welcomes you in a warm and friendly atmosphere. ', 'https://www.booking.com/hotel/fr/hotel-saint-aubert.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=9&hpos=9&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.510105, 48.612938, '11/11/2021 11:00', 12.82, 'Clouds')\n",
      "('Le Saint Aubert', '7.3', 'Set amid lush greenery, just 2 km from the Mont Saint-Michel, the hotel welcomes you in a warm and friendly atmosphere. ', 'https://www.booking.com/hotel/fr/hotel-saint-aubert.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=9&hpos=9&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.510105, 48.612938, '12/11/2021 11:00', 12.15, 'Rain')\n",
      "('Le Saint Aubert', '7.3', 'Set amid lush greenery, just 2 km from the Mont Saint-Michel, the hotel welcomes you in a warm and friendly atmosphere. ', 'https://www.booking.com/hotel/fr/hotel-saint-aubert.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=9&hpos=9&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.510105, 48.612938, '13/11/2021 11:00', 13.05, 'Rain')\n",
      "('Le Saint Aubert', '7.3', 'Set amid lush greenery, just 2 km from the Mont Saint-Michel, the hotel welcomes you in a warm and friendly atmosphere. ', 'https://www.booking.com/hotel/fr/hotel-saint-aubert.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=9&hpos=9&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.510105, 48.612938, '14/11/2021 11:00', 12.06, 'Rain')\n",
      "('Les Terrasses Poulard', '7.3', 'Composed of 2 different buildings, Les Terrasses Poulard is a historical property in the heart of Mont Saint-Michel and offers views of the bay, the village and the street. ', 'https://www.booking.com/hotel/fr/les-terrasses-poulard.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=10&hpos=10&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.510379, 48.635349, '07/11/2021 11:00', 13.07, 'Rain')\n",
      "('Les Terrasses Poulard', '7.3', 'Composed of 2 different buildings, Les Terrasses Poulard is a historical property in the heart of Mont Saint-Michel and offers views of the bay, the village and the street. ', 'https://www.booking.com/hotel/fr/les-terrasses-poulard.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=10&hpos=10&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.510379, 48.635349, '08/11/2021 11:00', 11.61, 'Clouds')\n",
      "('Les Terrasses Poulard', '7.3', 'Composed of 2 different buildings, Les Terrasses Poulard is a historical property in the heart of Mont Saint-Michel and offers views of the bay, the village and the street. ', 'https://www.booking.com/hotel/fr/les-terrasses-poulard.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=10&hpos=10&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.510379, 48.635349, '09/11/2021 11:00', 13.27, 'Clouds')\n",
      "('Les Terrasses Poulard', '7.3', 'Composed of 2 different buildings, Les Terrasses Poulard is a historical property in the heart of Mont Saint-Michel and offers views of the bay, the village and the street. ', 'https://www.booking.com/hotel/fr/les-terrasses-poulard.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=10&hpos=10&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.510379, 48.635349, '10/11/2021 11:00', 13.64, 'Clear')\n",
      "('Les Terrasses Poulard', '7.3', 'Composed of 2 different buildings, Les Terrasses Poulard is a historical property in the heart of Mont Saint-Michel and offers views of the bay, the village and the street. ', 'https://www.booking.com/hotel/fr/les-terrasses-poulard.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=10&hpos=10&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.510379, 48.635349, '11/11/2021 11:00', 12.82, 'Clouds')\n",
      "('Les Terrasses Poulard', '7.3', 'Composed of 2 different buildings, Les Terrasses Poulard is a historical property in the heart of Mont Saint-Michel and offers views of the bay, the village and the street. ', 'https://www.booking.com/hotel/fr/les-terrasses-poulard.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=10&hpos=10&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.510379, 48.635349, '12/11/2021 11:00', 12.15, 'Rain')\n",
      "('Les Terrasses Poulard', '7.3', 'Composed of 2 different buildings, Les Terrasses Poulard is a historical property in the heart of Mont Saint-Michel and offers views of the bay, the village and the street. ', 'https://www.booking.com/hotel/fr/les-terrasses-poulard.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=10&hpos=10&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.510379, 48.635349, '13/11/2021 11:00', 13.05, 'Rain')\n",
      "('Les Terrasses Poulard', '7.3', 'Composed of 2 different buildings, Les Terrasses Poulard is a historical property in the heart of Mont Saint-Michel and offers views of the bay, the village and the street. ', 'https://www.booking.com/hotel/fr/les-terrasses-poulard.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=10&hpos=10&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.510379, 48.635349, '14/11/2021 11:00', 12.06, 'Rain')\n",
      "('Le Mouton Blanc', '7.2', 'At the foot of the abbey, the Mouton Blanc Hotel, welcomes you in its historic 14th century location. Le Mouton Blanc provides comfortable rooms with a simple yet cosy decoration. ', 'https://www.booking.com/hotel/fr/le-mouton-blanc-le-mont-saint-michel.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=11&hpos=11&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.509896, 48.636023, '07/11/2021 11:00', 13.07, 'Rain')\n",
      "('Le Mouton Blanc', '7.2', 'At the foot of the abbey, the Mouton Blanc Hotel, welcomes you in its historic 14th century location. Le Mouton Blanc provides comfortable rooms with a simple yet cosy decoration. ', 'https://www.booking.com/hotel/fr/le-mouton-blanc-le-mont-saint-michel.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=11&hpos=11&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.509896, 48.636023, '08/11/2021 11:00', 11.61, 'Clouds')\n",
      "('Le Mouton Blanc', '7.2', 'At the foot of the abbey, the Mouton Blanc Hotel, welcomes you in its historic 14th century location. Le Mouton Blanc provides comfortable rooms with a simple yet cosy decoration. ', 'https://www.booking.com/hotel/fr/le-mouton-blanc-le-mont-saint-michel.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=11&hpos=11&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.509896, 48.636023, '09/11/2021 11:00', 13.27, 'Clouds')\n",
      "('Le Mouton Blanc', '7.2', 'At the foot of the abbey, the Mouton Blanc Hotel, welcomes you in its historic 14th century location. Le Mouton Blanc provides comfortable rooms with a simple yet cosy decoration. ', 'https://www.booking.com/hotel/fr/le-mouton-blanc-le-mont-saint-michel.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=11&hpos=11&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.509896, 48.636023, '10/11/2021 11:00', 13.64, 'Clear')\n",
      "('Le Mouton Blanc', '7.2', 'At the foot of the abbey, the Mouton Blanc Hotel, welcomes you in its historic 14th century location. Le Mouton Blanc provides comfortable rooms with a simple yet cosy decoration. ', 'https://www.booking.com/hotel/fr/le-mouton-blanc-le-mont-saint-michel.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=11&hpos=11&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.509896, 48.636023, '11/11/2021 11:00', 12.82, 'Clouds')\n",
      "('Le Mouton Blanc', '7.2', 'At the foot of the abbey, the Mouton Blanc Hotel, welcomes you in its historic 14th century location. Le Mouton Blanc provides comfortable rooms with a simple yet cosy decoration. ', 'https://www.booking.com/hotel/fr/le-mouton-blanc-le-mont-saint-michel.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=11&hpos=11&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.509896, 48.636023, '12/11/2021 11:00', 12.15, 'Rain')\n",
      "('Le Mouton Blanc', '7.2', 'At the foot of the abbey, the Mouton Blanc Hotel, welcomes you in its historic 14th century location. Le Mouton Blanc provides comfortable rooms with a simple yet cosy decoration. ', 'https://www.booking.com/hotel/fr/le-mouton-blanc-le-mont-saint-michel.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=11&hpos=11&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.509896, 48.636023, '13/11/2021 11:00', 13.05, 'Rain')\n",
      "('Le Mouton Blanc', '7.2', 'At the foot of the abbey, the Mouton Blanc Hotel, welcomes you in its historic 14th century location. Le Mouton Blanc provides comfortable rooms with a simple yet cosy decoration. ', 'https://www.booking.com/hotel/fr/le-mouton-blanc-le-mont-saint-michel.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=11&hpos=11&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.509896, 48.636023, '14/11/2021 11:00', 12.06, 'Rain')\n",
      "('Hotel De La Digue', '7.1', 'The traditional Hotel De La Digue in the Basse-Normandie region is only 5 minutes by shuttle from Mont St Michel, or 30 minutes by foot. Free Wi-Fi is provided throughout the property. ', 'https://www.booking.com/hotel/fr/de-la-digue.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=12&hpos=12&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.510918, 48.616882, '07/11/2021 11:00', 13.07, 'Rain')\n",
      "('Hotel De La Digue', '7.1', 'The traditional Hotel De La Digue in the Basse-Normandie region is only 5 minutes by shuttle from Mont St Michel, or 30 minutes by foot. Free Wi-Fi is provided throughout the property. ', 'https://www.booking.com/hotel/fr/de-la-digue.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=12&hpos=12&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.510918, 48.616882, '08/11/2021 11:00', 11.61, 'Clouds')\n",
      "('Hotel De La Digue', '7.1', 'The traditional Hotel De La Digue in the Basse-Normandie region is only 5 minutes by shuttle from Mont St Michel, or 30 minutes by foot. Free Wi-Fi is provided throughout the property. ', 'https://www.booking.com/hotel/fr/de-la-digue.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=12&hpos=12&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.510918, 48.616882, '09/11/2021 11:00', 13.27, 'Clouds')\n",
      "('Hotel De La Digue', '7.1', 'The traditional Hotel De La Digue in the Basse-Normandie region is only 5 minutes by shuttle from Mont St Michel, or 30 minutes by foot. Free Wi-Fi is provided throughout the property. ', 'https://www.booking.com/hotel/fr/de-la-digue.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=12&hpos=12&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.510918, 48.616882, '10/11/2021 11:00', 13.64, 'Clear')\n",
      "('Hotel De La Digue', '7.1', 'The traditional Hotel De La Digue in the Basse-Normandie region is only 5 minutes by shuttle from Mont St Michel, or 30 minutes by foot. Free Wi-Fi is provided throughout the property. ', 'https://www.booking.com/hotel/fr/de-la-digue.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=12&hpos=12&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.510918, 48.616882, '11/11/2021 11:00', 12.82, 'Clouds')\n",
      "('Hotel De La Digue', '7.1', 'The traditional Hotel De La Digue in the Basse-Normandie region is only 5 minutes by shuttle from Mont St Michel, or 30 minutes by foot. Free Wi-Fi is provided throughout the property. ', 'https://www.booking.com/hotel/fr/de-la-digue.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=12&hpos=12&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.510918, 48.616882, '12/11/2021 11:00', 12.15, 'Rain')\n",
      "('Hotel De La Digue', '7.1', 'The traditional Hotel De La Digue in the Basse-Normandie region is only 5 minutes by shuttle from Mont St Michel, or 30 minutes by foot. Free Wi-Fi is provided throughout the property. ', 'https://www.booking.com/hotel/fr/de-la-digue.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=12&hpos=12&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.510918, 48.616882, '13/11/2021 11:00', 13.05, 'Rain')\n",
      "('Hotel De La Digue', '7.1', 'The traditional Hotel De La Digue in the Basse-Normandie region is only 5 minutes by shuttle from Mont St Michel, or 30 minutes by foot. Free Wi-Fi is provided throughout the property. ', 'https://www.booking.com/hotel/fr/de-la-digue.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=12&hpos=12&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.510918, 48.616882, '14/11/2021 11:00', 12.06, 'Rain')\n",
      "('CAMPING AUX POMMIERS - TOHAPI', '8.3', 'Set in Le Mont Saint Michel in the Lower Normandy region, CAMPING AUX POMMIERS - TOHAPI offers accommodation with free private parking. ', 'https://www.booking.com/hotel/fr/camping-aux-pommiers-tohapi.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=13&hpos=13&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.5101, 48.613555, '07/11/2021 11:00', 13.07, 'Rain')\n",
      "('CAMPING AUX POMMIERS - TOHAPI', '8.3', 'Set in Le Mont Saint Michel in the Lower Normandy region, CAMPING AUX POMMIERS - TOHAPI offers accommodation with free private parking. ', 'https://www.booking.com/hotel/fr/camping-aux-pommiers-tohapi.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=13&hpos=13&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.5101, 48.613555, '08/11/2021 11:00', 11.61, 'Clouds')\n",
      "('CAMPING AUX POMMIERS - TOHAPI', '8.3', 'Set in Le Mont Saint Michel in the Lower Normandy region, CAMPING AUX POMMIERS - TOHAPI offers accommodation with free private parking. ', 'https://www.booking.com/hotel/fr/camping-aux-pommiers-tohapi.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=13&hpos=13&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.5101, 48.613555, '09/11/2021 11:00', 13.27, 'Clouds')\n",
      "('CAMPING AUX POMMIERS - TOHAPI', '8.3', 'Set in Le Mont Saint Michel in the Lower Normandy region, CAMPING AUX POMMIERS - TOHAPI offers accommodation with free private parking. ', 'https://www.booking.com/hotel/fr/camping-aux-pommiers-tohapi.en-gb.html?label=gen173nr-1FCAQoggJCG3NlYXJjaF9sZSBtb250IHNhaW50IG1pY2hlbEgzWARoFYgBAZgBCbgBGMgBBdgBAegBAfgBA4gCAagCBLgCqqjNigbAAgHSAiQ3OTBlNWFiYS0zMTE1LTQyODItYWEyZC00MzVlM2FhOWMwZmPYAgXgAgE&sid=fc74e8b505f358af5771845cdccb2ac7&dest_id=900039327&dest_type=city&group_adults=2&group_children=0&hapos=13&hpos=13&no_rooms=1&sr_order=bayesian_review_score&srepoch=1632850986&srpvid=632d7c95e3ff008c&ucfs=1&from=searchresults#hotelTmpl', 'Le Mont-Saint-Michel', -1.5101, 48.613555, '10/11/2021 11:00', 13.64, 'Clear')\n"
     ]
    }
   ],
   "source": [
    "for record in cursor:\n",
    "    print(record)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Viewing cursor description and cursor status"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(Column(name='hotel_name', type_code=25), Column(name='hotel_review', type_code=25), Column(name='hotel_description', type_code=25), Column(name='hotel_link', type_code=25), Column(name='City', type_code=25), Column(name='Longitude', type_code=701), Column(name='Latitude_x', type_code=701), Column(name='temp_date', type_code=25), Column(name='temp_day', type_code=701), Column(name='weather_main', type_code=25))\n"
     ]
    }
   ],
   "source": [
    "print(cursor.description)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SELECT 100\n"
     ]
    }
   ],
   "source": [
    "print(cursor.statusmessage)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### The Top 5 cities will be determined by grouping the \"City\" column and calculating the average temperature collected for the coming week"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "metadata": {},
   "outputs": [],
   "source": [
    "grouped_df = df_cities_weather_clean.groupby([\"City\"], as_index=False).mean()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### The  \"grouped_df\" dataframe is then sorted in descending order to have the cities with the highest temperatures on top"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_for_top_5 = grouped_df.sort_values([\"temp_day\"], ascending=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Round the \"temp_day\" of the \"df_for_top_5\" dataframe to 2 decimal places"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 158,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_for_top_5[\"temp_day\"] = round(df_for_top_5[\"temp_day\"], 2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 171,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_grouped_Top_5 = df_for_top_5.groupby([\"City\"], as_index=False).mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 172,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_grouped_for_top_5 = df_grouped_Top_5.sort_values([\"temp_day\"], ascending=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Putting the five warmest cities in a dataframe for plotting  the map"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 173,
   "metadata": {},
   "outputs": [],
   "source": [
    "Warmest_5 = df_grouped_for_top_5.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 174,
   "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>City</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude_x</th>\n",
       "      <th>temp_day</th>\n",
       "      <th>temp_min</th>\n",
       "      <th>temp_max</th>\n",
       "      <th>temp_night</th>\n",
       "      <th>temp_morning</th>\n",
       "      <th>feels_like_day</th>\n",
       "      <th>feels_like_night</th>\n",
       "      <th>feels_like_morning</th>\n",
       "      <th>pressure</th>\n",
       "      <th>humidity</th>\n",
       "      <th>dew_point</th>\n",
       "      <th>wind_speed</th>\n",
       "      <th>wind_deg</th>\n",
       "      <th>wind_gust</th>\n",
       "      <th>clouds</th>\n",
       "      <th>prob_rain</th>\n",
       "      <th>uv</th>\n",
       "      <th>Longitude_y</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Cassis</td>\n",
       "      <td>43.2140</td>\n",
       "      <td>5.5396</td>\n",
       "      <td>15.87</td>\n",
       "      <td>12.68875</td>\n",
       "      <td>16.17625</td>\n",
       "      <td>13.90000</td>\n",
       "      <td>12.91375</td>\n",
       "      <td>14.73750</td>\n",
       "      <td>12.91250</td>\n",
       "      <td>11.75625</td>\n",
       "      <td>1016.375</td>\n",
       "      <td>46.750</td>\n",
       "      <td>3.62250</td>\n",
       "      <td>5.48125</td>\n",
       "      <td>291.500</td>\n",
       "      <td>6.84875</td>\n",
       "      <td>21.250</td>\n",
       "      <td>0.07250</td>\n",
       "      <td>1.84750</td>\n",
       "      <td>5.5396</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Marseille</td>\n",
       "      <td>43.2962</td>\n",
       "      <td>5.3700</td>\n",
       "      <td>15.39</td>\n",
       "      <td>12.35000</td>\n",
       "      <td>15.90375</td>\n",
       "      <td>13.82375</td>\n",
       "      <td>12.52750</td>\n",
       "      <td>14.23000</td>\n",
       "      <td>12.82875</td>\n",
       "      <td>11.36875</td>\n",
       "      <td>1016.625</td>\n",
       "      <td>47.875</td>\n",
       "      <td>3.62125</td>\n",
       "      <td>5.87875</td>\n",
       "      <td>318.500</td>\n",
       "      <td>7.20000</td>\n",
       "      <td>21.500</td>\n",
       "      <td>0.04875</td>\n",
       "      <td>1.88875</td>\n",
       "      <td>5.3700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Bormes-les-Mimosas</td>\n",
       "      <td>43.1507</td>\n",
       "      <td>6.3419</td>\n",
       "      <td>15.30</td>\n",
       "      <td>10.81000</td>\n",
       "      <td>15.72500</td>\n",
       "      <td>12.44375</td>\n",
       "      <td>11.11500</td>\n",
       "      <td>14.26000</td>\n",
       "      <td>11.48000</td>\n",
       "      <td>9.95000</td>\n",
       "      <td>1016.000</td>\n",
       "      <td>52.500</td>\n",
       "      <td>5.42625</td>\n",
       "      <td>6.73375</td>\n",
       "      <td>158.000</td>\n",
       "      <td>9.51125</td>\n",
       "      <td>33.500</td>\n",
       "      <td>0.14500</td>\n",
       "      <td>1.85125</td>\n",
       "      <td>6.3419</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Aix-en-Provence</td>\n",
       "      <td>43.5298</td>\n",
       "      <td>5.4475</td>\n",
       "      <td>14.82</td>\n",
       "      <td>8.45875</td>\n",
       "      <td>15.23875</td>\n",
       "      <td>10.64250</td>\n",
       "      <td>8.77875</td>\n",
       "      <td>13.42750</td>\n",
       "      <td>9.49625</td>\n",
       "      <td>7.35375</td>\n",
       "      <td>1016.625</td>\n",
       "      <td>40.875</td>\n",
       "      <td>0.97875</td>\n",
       "      <td>3.66750</td>\n",
       "      <td>194.875</td>\n",
       "      <td>5.48500</td>\n",
       "      <td>23.125</td>\n",
       "      <td>0.02500</td>\n",
       "      <td>1.91875</td>\n",
       "      <td>5.4475</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Nîmes</td>\n",
       "      <td>43.8374</td>\n",
       "      <td>4.3601</td>\n",
       "      <td>14.24</td>\n",
       "      <td>6.96875</td>\n",
       "      <td>14.72125</td>\n",
       "      <td>9.01875</td>\n",
       "      <td>7.16750</td>\n",
       "      <td>12.95125</td>\n",
       "      <td>7.36000</td>\n",
       "      <td>4.79625</td>\n",
       "      <td>1018.125</td>\n",
       "      <td>47.125</td>\n",
       "      <td>2.95625</td>\n",
       "      <td>6.05375</td>\n",
       "      <td>135.250</td>\n",
       "      <td>10.23250</td>\n",
       "      <td>24.000</td>\n",
       "      <td>0.00125</td>\n",
       "      <td>1.94250</td>\n",
       "      <td>4.3601</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  City  Latitude  Longitude_x  temp_day  temp_min  temp_max  \\\n",
       "11              Cassis   43.2140       5.5396     15.87  12.68875  16.17625   \n",
       "23           Marseille   43.2962       5.3700     15.39  12.35000  15.90375   \n",
       "9   Bormes-les-Mimosas   43.1507       6.3419     15.30  10.81000  15.72500   \n",
       "0      Aix-en-Provence   43.5298       5.4475     14.82   8.45875  15.23875   \n",
       "25               Nîmes   43.8374       4.3601     14.24   6.96875  14.72125   \n",
       "\n",
       "    temp_night  temp_morning  feels_like_day  feels_like_night  \\\n",
       "11    13.90000      12.91375        14.73750          12.91250   \n",
       "23    13.82375      12.52750        14.23000          12.82875   \n",
       "9     12.44375      11.11500        14.26000          11.48000   \n",
       "0     10.64250       8.77875        13.42750           9.49625   \n",
       "25     9.01875       7.16750        12.95125           7.36000   \n",
       "\n",
       "    feels_like_morning  pressure  humidity  dew_point  wind_speed  wind_deg  \\\n",
       "11            11.75625  1016.375    46.750    3.62250     5.48125   291.500   \n",
       "23            11.36875  1016.625    47.875    3.62125     5.87875   318.500   \n",
       "9              9.95000  1016.000    52.500    5.42625     6.73375   158.000   \n",
       "0              7.35375  1016.625    40.875    0.97875     3.66750   194.875   \n",
       "25             4.79625  1018.125    47.125    2.95625     6.05375   135.250   \n",
       "\n",
       "    wind_gust  clouds  prob_rain       uv  Longitude_y  \n",
       "11    6.84875  21.250    0.07250  1.84750       5.5396  \n",
       "23    7.20000  21.500    0.04875  1.88875       5.3700  \n",
       "9     9.51125  33.500    0.14500  1.85125       6.3419  \n",
       "0     5.48500  23.125    0.02500  1.91875       5.4475  \n",
       "25   10.23250  24.000    0.00125  1.94250       4.3601  "
      ]
     },
     "execution_count": 174,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Warmest_5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already up-to-date: kaleido in /opt/conda/lib/python3.8/site-packages (0.2.1)\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    }
   ],
   "source": [
    "pip install -U kaleido"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Plotting the Top 5 French cities with the highest average temperatures for the next 7 days"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 175,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<iframe\n",
       "    scrolling=\"no\"\n",
       "    width=\"100%\"\n",
       "    height=\"545px\"\n",
       "    src=\"iframe_figures/figure_175.html\"\n",
       "    frameborder=\"0\"\n",
       "    allowfullscreen\n",
       "></iframe>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = px.scatter_mapbox(Warmest_5,\n",
    "                        lat=\"Latitude\",\n",
    "                        lon=\"Longitude_x\",\n",
    "                        color=\"temp_day\",\n",
    "                        size=\"temp_day\",\n",
    "                        hover_name=\"City\",\n",
    "                        zoom=5,\n",
    "                        mapbox_style=\"carto-positron\",\n",
    "                       title = \"The top 5 French destinations with the highest temperatures for the coming seven days\")\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Plotting all French top hotels per city on a map"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<iframe\n",
       "    scrolling=\"no\"\n",
       "    width=\"100%\"\n",
       "    height=\"545px\"\n",
       "    src=\"iframe_figures/figure_142.html\"\n",
       "    frameborder=\"0\"\n",
       "    allowfullscreen\n",
       "></iframe>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig_1 = px.scatter_mapbox(df_hotels_clean,\n",
    "                        lat=\"Latitude\",\n",
    "                        lon=\"Longitude\",\n",
    "                        color=\"City\",\n",
    "                        size=\"hotel_review\",\n",
    "                        hover_name=\"hotel_name\",\n",
    "                        zoom=4,\n",
    "                        mapbox_style=\"carto-positron\",\n",
    "                       title = \"The top hotels for an enjoyable stay in 31 French cities\")\n",
    "fig_1.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Seperating the hotels of the Top 5 cities in distinct dataframes to plot the required maps"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 176,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_Cassis = df_hotels_clean.loc[df_hotels_clean[\"City\"].str.contains(\"Cassis\")]\n",
    "data_Marseille = df_hotels_clean.loc[df_hotels_clean[\"City\"].str.contains(\"Marseille\")]\n",
    "data_Bormes = df_hotels_clean.loc[df_hotels_clean[\"City\"].str.contains(\"Bormes-les-Mimosas\")]\n",
    "data_Aix = df_hotels_clean.loc[df_hotels_clean[\"City\"].str.contains(\"Aix-en-Provence\")]\n",
    "data_Nimes = df_hotels_clean.loc[df_hotels_clean[\"City\"].str.contains(\"Nîmes\")]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Plotting the top hotels in Cassis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<iframe\n",
       "    scrolling=\"no\"\n",
       "    width=\"100%\"\n",
       "    height=\"545px\"\n",
       "    src=\"iframe_figures/figure_126.html\"\n",
       "    frameborder=\"0\"\n",
       "    allowfullscreen\n",
       "></iframe>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = px.scatter_mapbox(data_Cassis,\n",
    "                        lat=\"Latitude\",\n",
    "                        lon=\"Longitude\",\n",
    "                        color=None,\n",
    "                        hover_name=\"hotel_name\",\n",
    "                        zoom=12,\n",
    "                        mapbox_style=\"carto-darkmatter\",\n",
    "                       title = \"The top hotels for an enjoyable stay in Cassis\")\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Plotting the top hotels in Marseille"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<iframe\n",
       "    scrolling=\"no\"\n",
       "    width=\"100%\"\n",
       "    height=\"545px\"\n",
       "    src=\"iframe_figures/figure_145.html\"\n",
       "    frameborder=\"0\"\n",
       "    allowfullscreen\n",
       "></iframe>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = px.scatter_mapbox(data_Marseille,\n",
    "                        lat=\"Latitude\",\n",
    "                        lon=\"Longitude\",\n",
    "                        color=None,\n",
    "                        hover_name=\"hotel_name\",\n",
    "                        zoom=12,\n",
    "                        mapbox_style=\"stamen-watercolor\",\n",
    "                       title = \"The top hotels for an enjoyable stay in Marseille\")\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Plotting the top hotels in Bormes-les-Mimosas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<iframe\n",
       "    scrolling=\"no\"\n",
       "    width=\"100%\"\n",
       "    height=\"545px\"\n",
       "    src=\"iframe_figures/figure_146.html\"\n",
       "    frameborder=\"0\"\n",
       "    allowfullscreen\n",
       "></iframe>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = px.scatter_mapbox(data_Bormes,\n",
    "                        lat=\"Latitude\",\n",
    "                        lon=\"Longitude\",\n",
    "                        color=None,\n",
    "                        hover_name=\"hotel_name\",\n",
    "                        zoom=12,\n",
    "                        mapbox_style=\"open-street-map\",\n",
    "                       title = \"The top hotels for an enjoyable stay in Bormes-les-Mimosas\")\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Plotting the top hotels in Aix-en-Provence"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<iframe\n",
       "    scrolling=\"no\"\n",
       "    width=\"100%\"\n",
       "    height=\"545px\"\n",
       "    src=\"iframe_figures/figure_129.html\"\n",
       "    frameborder=\"0\"\n",
       "    allowfullscreen\n",
       "></iframe>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = px.scatter_mapbox(data_Aix,\n",
    "                        lat=\"Latitude\",\n",
    "                        lon=\"Longitude\",\n",
    "                        color=None,\n",
    "                        hover_name=\"hotel_name\",\n",
    "                        zoom=12,\n",
    "                        mapbox_style=\"stamen-toner\",\n",
    "                       title = \"The top hotels for an enjoyable stay in Aix-en-Provence\")\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Plotting the top hotels in Nîmes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 178,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<iframe\n",
       "    scrolling=\"no\"\n",
       "    width=\"100%\"\n",
       "    height=\"545px\"\n",
       "    src=\"iframe_figures/figure_178.html\"\n",
       "    frameborder=\"0\"\n",
       "    allowfullscreen\n",
       "></iframe>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = px.scatter_mapbox(data_Nimes,\n",
    "                        lat=\"Latitude\",\n",
    "                        lon=\"Longitude\",\n",
    "                        color=None,\n",
    "                        hover_name=\"hotel_name\",\n",
    "                        zoom=12,\n",
    "                        mapbox_style=\"stamen-terrain\",\n",
    "                       title = \"The top hotels for an enjoyable stay in Nîmes\")\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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