gsc_extractor_v8.2.ipynb

{
  "cells": [
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "nYD-rya2B9sP",
        "outputId": "826d8d73-ff41-42f1-8eaa-3a32ce3b2b83",
        "tags": [
          "def"
        ]
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "[nltk_data] Downloading package averaged_perceptron_tagger to\n",
            "[nltk_data]     C:\\Users\\Utente\\AppData\\Roaming\\nltk_data...\n",
            "[nltk_data]   Package averaged_perceptron_tagger is already up-to-\n",
            "[nltk_data]       date!\n",
            "[nltk_data] Downloading package omw to\n",
            "[nltk_data]     C:\\Users\\Utente\\AppData\\Roaming\\nltk_data...\n",
            "[nltk_data]   Package omw is already up-to-date!\n",
            "[nltk_data] Downloading package punkt to\n",
            "[nltk_data]     C:\\Users\\Utente\\AppData\\Roaming\\nltk_data...\n",
            "[nltk_data]   Package punkt is already up-to-date!\n",
            "[nltk_data] Downloading package stopwords to\n",
            "[nltk_data]     C:\\Users\\Utente\\AppData\\Roaming\\nltk_data...\n",
            "[nltk_data]   Package stopwords is already up-to-date!\n",
            "[nltk_data] Downloading package wordnet to\n",
            "[nltk_data]     C:\\Users\\Utente\\AppData\\Roaming\\nltk_data...\n",
            "[nltk_data]   Package wordnet is already up-to-date!\n"
          ]
        }
      ],
      "source": [
        "# ----------- Importazione delle librerie standard e di terze parti -----------\n",
        "# Moduli per la manipolazione dei dati e per operazioni matematiche\n",
        "import pandas as pd\n",
        "import numpy as np\n",
        "import math\n",
        "import re\n",
        "import json\n",
        "from collections import Counter\n",
        "from operator import itemgetter\n",
        "import string\n",
        "# Moduli per le operazioni con le date\n",
        "import datetime\n",
        "from datetime import datetime, timedelta\n",
        "import time\n",
        "# Moduli per la gestione dei file e delle directory\n",
        "import os\n",
        "# Moduli per la visualizzazione dei dati\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "# Moduli per la gestione delle richieste HTTP e per la manipolazione del HTML\n",
        "import requests\n",
        "from fake_useragent import UserAgent\n",
        "from bs4 import BeautifulSoup\n",
        "from lxml import html\n",
        "# Moduli per la gestione delle interfacce utente\n",
        "import tkinter as tk\n",
        "from tkinter import messagebox\n",
        "# Moduli per l'apprendimento automatico e l'analisi del testo\n",
        "import nltk\n",
        "from nltk.corpus import stopwords\n",
        "\n",
        "from nltk.stem import WordNetLemmatizer\n",
        "\n",
        "from nltk.tokenize import word_tokenize\n",
        "# Scarica i pacchetti necessari di nltk se non sono già presenti\n",
        "nltk.download('averaged_perceptron_tagger')\n",
        "nltk.download('omw')\n",
        "nltk.download('punkt')\n",
        "nltk.download('stopwords')\n",
        "nltk.download('wordnet')\n",
        "# Moduli specifici per l'analisi e la manipolazione del testo in italiano\n",
        "import spacy\n",
        "\n",
        "# Modulo per l'interazione con l'API di OpenAI\n",
        "import openai\n",
        "# Modulo per l'interazione con Google Search Console\n",
        "# pip install git+https://github.com/joshcarty/google-searchconsole\n",
        "import searchconsole\n",
        "# Modulo per la visualizzazione della barra di avanzamento\n",
        "from tqdm import tqdm"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {},
      "outputs": [],
      "source": [
        "from dotenv import load_dotenv\n",
        "import os\n",
        "load_dotenv()  # Carica le variabili d'ambiente dal file .env\n",
        "openai.api_key = os.getenv(\"openai.api_key\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "italiano loaded\n"
          ]
        }
      ],
      "source": [
        "# OPZIONI\n",
        "\n",
        "## LINGUA ################################################################\n",
        "language = 'it' # it/en\n",
        "## LOADING NLP ################################################################\n",
        "if language == 'it':\n",
        "    # ITALIANO\n",
        "    # update\n",
        "    # python -m spacy download it_core_news_lg\n",
        "    #nlp = spacy.load(\"it_core_news_lg\", disable=[\"tagger\", \"parser\", \"entityrecognizer\"])\n",
        "    from nltk.stem.snowball import SnowballStemmer\n",
        "    nlp = spacy.load(\"it_core_news_lg\", disable=[\"parser\", \"ner\"])\n",
        "    stemmer = SnowballStemmer(\"italian\")\n",
        "    stopwords = stopwords.words('italian')\n",
        "    language = 'italiano'\n",
        "elif language == 'en':\n",
        "    # INGLESE\n",
        "    # Download the English model\n",
        "    # python -m spacy download en_core_web_lg\n",
        "    #nlp = spacy.load(\"en_core_web_lg\", disable=[\"tagger\", \"parser\", \"entity_recognizer\"])\n",
        "    from nltk.stem import PorterStemmer\n",
        "    nlp = spacy.load(\"en_core_web_lg\", disable=[\"parser\", \"ner\"])\n",
        "    stemmer = PorterStemmer()\n",
        "    stopwords = stopwords.words('english')\n",
        "    language = 'inglese'\n",
        "print(f'{language} loaded')\n",
        "\n",
        "#################################################################\n",
        "## DATI GSC - number of days to split into segments min 3 max 365\n",
        "giorni = 18 # valore da 1 a 480\n",
        "# filtri URL per chiamate GSC\n",
        "contains_gsc = \"\"\n",
        "# filtro COUNTRY, un solo valore - sigle country https://en.wikipedia.org/wiki/ISO_3166-1_alpha-3\n",
        "countryCall=\"\" # ITA, USA, GBR, DEU, FRA, ...\n",
        "## BRAND ###############################################################\n",
        "query_brand = \"evemilano|sacheli\"\n",
        "#################################################################\n",
        "## HTTP CRAWLER - massime richieste crawler, min 1\n",
        "counter_max = 1\n",
        "# pausa tra una chiamata http e l'altra del title crawler\n",
        "attesa=1\n",
        "# Opzioni per la scelta dell'User-Agent per la scansione\n",
        "user_agent_option = 'fixed'  # Opzioni: 'random', 'chrome', 'fixed'\n",
        "# filtri URL da scansionare | separatore\n",
        "include=\"\"\n",
        "exclude=\"\"\n",
        "## PREVISIONI ################################################\n",
        "previsioni = 'no' # si/no\n",
        "## FORMATTAZIONE ###############################################################\n",
        "formattazione = 'no' # si/no\n",
        "## FILTRI ###############################################################\n",
        "min_imp = 100 # valore libero da 1 a infinito\n",
        "max_pos = 100 # 1-100"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "_cKyxRbmFGuj",
        "outputId": "48aa1d73-0d47-45f7-bf4d-80bd97851383"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Please visit this URL to authorize this application: https://accounts.google.com/o/oauth2/auth?response_type=code&client_id=615773305903-ieefueojceq5624v7e9otk5clcneulpm.apps.googleusercontent.com&redirect_uri=http%3A%2F%2Flocalhost%3A8080%2F&scope=https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fwebmasters.readonly&state=Vrs92AR8LliE2BYt6Tjzw72WQ44Zgm&access_type=offline\n"
          ]
        }
      ],
      "source": [
        "# Get the absolute path of the credentials file\n",
        "creds_path = os.path.abspath(\"client_secret_.json\")\n",
        "# Load the client configuration from the file\n",
        "with open(creds_path, 'r') as f:\n",
        "    client_config = json.load(f)\n",
        "# Authenticate with the Search Console API\n",
        "#account = searchconsole.authenticate(client_config=client_config, serialize='credentials.json', flow='console')\n",
        "account = searchconsole.authenticate(client_config=client_config, serialize='credentials.json', flow='web')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Hai selezionato la proprietà https://www.evemilano.com/\n"
          ]
        }
      ],
      "source": [
        "# Crea una finestra di dialogo per mostrare le proprietà filtrate\n",
        "\n",
        "import tkinter as tk\n",
        "from tkinter import messagebox\n",
        "\n",
        "# Funzione per mostrare le proprietà filtrate\n",
        "def show_properties(properties):\n",
        "    def select_property():\n",
        "        nonlocal selected\n",
        "        try:\n",
        "            selected = int(lb.curselection()[0])\n",
        "            root.destroy()\n",
        "        except:\n",
        "            messagebox.showerror(\"Errore\", \"Devi selezionare una proprietà.\")\n",
        "\n",
        "    root = tk.Tk()\n",
        "    root.title(\"Proprietà filtrate\")\n",
        "    root.geometry(\"640x480\")\n",
        "    lb = tk.Listbox(root)\n",
        "    for prop in properties:\n",
        "        lb.insert(tk.END, prop.url)\n",
        "    lb.pack(fill=tk.BOTH, expand=True)\n",
        "    select_button = tk.Button(root, text=\"Seleziona\", command=select_property)\n",
        "    select_button.pack(side=tk.BOTTOM, pady=10)\n",
        "    selected = None\n",
        "    root.mainloop()\n",
        "    return selected\n",
        "\n",
        "while True:\n",
        "    # Chiede all'utente di inserire una parola chiave\n",
        "    keyword = input(\"Inserisci la parola chiave per il filtro (oppure digita 'exit' per uscire): \")\n",
        "    if keyword.lower() == 'exit':\n",
        "        print(\"Script interrotto dall'utente.\")\n",
        "        break\n",
        "\n",
        "    # Filtra le proprietà in base alla parola chiave\n",
        "    filtered_properties = [prop for prop in account.webproperties if keyword in prop.url]\n",
        "    \n",
        "    # Gestisce i casi di nessuna proprietà trovata\n",
        "    if len(filtered_properties) == 0:\n",
        "        print(\"Nessuna proprietà trovata. Riprova.\")\n",
        "        continue\n",
        "\n",
        "    # Mostra la finestra con le proprietà filtrate\n",
        "    selected_index = show_properties(filtered_properties)\n",
        "    if selected_index is None:\n",
        "        print(\"Nessuna proprietà selezionata.\")\n",
        "    else:\n",
        "        webproperty = filtered_properties[selected_index]\n",
        "        print(f\"Hai selezionato la proprietà {webproperty.url}\")\n",
        "        break\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Esiste. L'URL https://www.evemilano.com/ ha restituito uno status code 200\n"
          ]
        }
      ],
      "source": [
        "# se profilo GSC dominio, trasforma in URL\n",
        "if webproperty.url.startswith(\"sc-domain:\"):\n",
        "    url = \"https://\" + webproperty.url[len(\"sc-domain:\"):]\n",
        "    # prova a connetterti al sito\n",
        "    try:\n",
        "        response = requests.get(url)\n",
        "        if response.status_code == 200:\n",
        "            print(f\"Esiste. L'URL {url} ha restituito uno status code {response.status_code}\")\n",
        "        else:\n",
        "            print(f\"Non raggiungibile. L'URL {url} ha restituito uno status code {response.status_code}\")\n",
        "    except requests.exceptions.ConnectionError as e:\n",
        "        print(f\"Errore di connessione: {e}\")\n",
        "else:\n",
        "    url = webproperty.url\n",
        "    # prova a connetterti al sito\n",
        "    try:\n",
        "        response = requests.get(webproperty.url)\n",
        "        if response.status_code == 200:\n",
        "            print(f\"Esiste. L'URL {webproperty.url} ha restituito uno status code {response.status_code}\")\n",
        "        else:\n",
        "            print(f\"Non raggiungibile. L'URL {webproperty.url} ha restituito uno status code {response.status_code}\")\n",
        "    except requests.exceptions.ConnectionError as e:\n",
        "        print(f\"Errore di connessione: {e}\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "KeGcx62OTrBe",
        "outputId": "66df7916-a8f5-42c3-b4ae-cb951f927eb7"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "<searchconsole.account.WebProperty(url='https://www.evemilano.com/')>"
            ]
          },
          "execution_count": 7,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "##########################################\n",
        "# opzione UX selezione sito web da lista #\n",
        "##########################################\n",
        "# usare pagina di selezione sito web già presente in altri tool sul server\n",
        "\n",
        "# webproperty=account[str(property_name)]\n",
        "# https://github.com/joshcarty/google-searchconsole\n",
        "\n",
        "def extract_gsc_data(webproperty, start, stop, countryCall, contains_gsc, *args):\n",
        " if webproperty is not None:\n",
        "   print(f'Extracting data for {webproperty}')\n",
        "   gsc_data = webproperty.query.range(start, stop).dimension(*args).filter('country',countryCall,'contains').filter('page',contains_gsc,'contains').get()\n",
        "   return gsc_data\n",
        " else:\n",
        "   print('Webproperty not found, please select the correct one')\n",
        "   return None\n",
        "\n",
        "webproperty"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "GSC_EXT_evemilano.com_18days_1crawls_20231129_2050\n",
            "output/evemilano.com\n",
            "GSC_EXT_evemilano.com_18days_1crawls_20231129_2050.xlsx\n"
          ]
        }
      ],
      "source": [
        "# crea pattern filename\n",
        "# Ripulisci il nome della proprietà\n",
        "property_name = webproperty.url.replace('https://', '').replace('http://', '').replace('www.', '').replace('/', '')\n",
        "# Ottieni la data e l'ora corrente\n",
        "now = datetime.now()\n",
        "# Formatta la data e l'ora in una stringa\n",
        "now_str = now.strftime(\"%Y%m%d_%H%M\")\n",
        "# crea filename pattern\n",
        "file_name= f\"GSC_EXT_{property_name}_{giorni}days_{counter_max}crawls_{now_str}\"\n",
        "file_name = file_name.replace(\":\", \"-\")\n",
        "\n",
        "print(file_name)\n",
        "\n",
        "# Specifica la cartella di output\n",
        "output_dir = \"output\"\n",
        "if not os.path.exists(output_dir):\n",
        "    os.makedirs(output_dir)\n",
        "# Crea il nome del file\n",
        "filename = f\"{file_name}.xlsx\"\n",
        "# crea cartella della property\n",
        "new_output_dir = f\"{output_dir}/{property_name}\"\n",
        "# Replace \":\" with \"-\" in filename\n",
        "new_output_dir=new_output_dir.replace(\":\", \"-\")\n",
        "filename=filename.replace(\":\", \"-\")\n",
        "# Crea la cartella se non esiste\n",
        "os.makedirs(new_output_dir, exist_ok=True)\n",
        "print(new_output_dir)\n",
        "print(filename)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 9,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1633
        },
        "id": "Rem1-UiSKOYL",
        "outputId": "e5d59b01-2786-4228-c24d-5695c0cafe71"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Requests from 2023-11-10 00:00:00 to 2023-11-10 23:59:59 (1/18)\n",
            "Extracting data for <searchconsole.account.WebProperty(url='https://www.evemilano.com/')>\n"
          ]
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Requests from 2023-11-11 00:00:00 to 2023-11-11 23:59:59 (2/18)\n",
            "Extracting data for <searchconsole.account.WebProperty(url='https://www.evemilano.com/')>\n",
            "Requests from 2023-11-12 00:00:00 to 2023-11-12 23:59:59 (3/18)\n",
            "Extracting data for <searchconsole.account.WebProperty(url='https://www.evemilano.com/')>\n",
            "Requests from 2023-11-13 00:00:00 to 2023-11-13 23:59:59 (4/18)\n",
            "Extracting data for <searchconsole.account.WebProperty(url='https://www.evemilano.com/')>\n",
            "Requests from 2023-11-14 00:00:00 to 2023-11-14 23:59:59 (5/18)\n",
            "Extracting data for <searchconsole.account.WebProperty(url='https://www.evemilano.com/')>\n",
            "Requests from 2023-11-15 00:00:00 to 2023-11-15 23:59:59 (6/18)\n",
            "Extracting data for <searchconsole.account.WebProperty(url='https://www.evemilano.com/')>\n",
            "Requests from 2023-11-16 00:00:00 to 2023-11-16 23:59:59 (7/18)\n",
            "Extracting data for <searchconsole.account.WebProperty(url='https://www.evemilano.com/')>\n",
            "Requests from 2023-11-17 00:00:00 to 2023-11-17 23:59:59 (8/18)\n",
            "Extracting data for <searchconsole.account.WebProperty(url='https://www.evemilano.com/')>\n",
            "Requests from 2023-11-18 00:00:00 to 2023-11-18 23:59:59 (9/18)\n",
            "Extracting data for <searchconsole.account.WebProperty(url='https://www.evemilano.com/')>\n",
            "Requests from 2023-11-19 00:00:00 to 2023-11-19 23:59:59 (10/18)\n",
            "Extracting data for <searchconsole.account.WebProperty(url='https://www.evemilano.com/')>\n",
            "Requests from 2023-11-20 00:00:00 to 2023-11-20 23:59:59 (11/18)\n",
            "Extracting data for <searchconsole.account.WebProperty(url='https://www.evemilano.com/')>\n",
            "Requests from 2023-11-21 00:00:00 to 2023-11-21 23:59:59 (12/18)\n",
            "Extracting data for <searchconsole.account.WebProperty(url='https://www.evemilano.com/')>\n",
            "Requests from 2023-11-22 00:00:00 to 2023-11-22 23:59:59 (13/18)\n",
            "Extracting data for <searchconsole.account.WebProperty(url='https://www.evemilano.com/')>\n",
            "Requests from 2023-11-23 00:00:00 to 2023-11-23 23:59:59 (14/18)\n",
            "Extracting data for <searchconsole.account.WebProperty(url='https://www.evemilano.com/')>\n",
            "Requests from 2023-11-24 00:00:00 to 2023-11-24 23:59:59 (15/18)\n",
            "Extracting data for <searchconsole.account.WebProperty(url='https://www.evemilano.com/')>\n",
            "Requests from 2023-11-25 00:00:00 to 2023-11-25 23:59:59 (16/18)\n",
            "Extracting data for <searchconsole.account.WebProperty(url='https://www.evemilano.com/')>\n",
            "Requests from 2023-11-26 00:00:00 to 2023-11-26 23:59:59 (17/18)\n",
            "Extracting data for <searchconsole.account.WebProperty(url='https://www.evemilano.com/')>\n",
            "Requests from 2023-11-27 00:00:00 to 2023-11-27 23:59:59 (18/18)\n",
            "Extracting data for <searchconsole.account.WebProperty(url='https://www.evemilano.com/')>\n",
            "Rows: 84507\n"
          ]
        },
        {
          "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>query</th>\n",
              "      <th>page</th>\n",
              "      <th>clicks</th>\n",
              "      <th>impressions</th>\n",
              "      <th>ctr</th>\n",
              "      <th>position</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>cdata xml</td>\n",
              "      <td>https://www.evemilano.com/cdata-xml/</td>\n",
              "      <td>2</td>\n",
              "      <td>11</td>\n",
              "      <td>0.181818</td>\n",
              "      <td>42.818182</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>come vedere la sitemap di un sito</td>\n",
              "      <td>https://www.evemilano.com/3-modi-per-trovare-l...</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>0.666667</td>\n",
              "      <td>1.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>regex caratteri speciali</td>\n",
              "      <td>https://www.evemilano.com/come-funzionano-le-e...</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>2.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>xml cdata</td>\n",
              "      <td>https://www.evemilano.com/cdata-xml/</td>\n",
              "      <td>2</td>\n",
              "      <td>10</td>\n",
              "      <td>0.200000</td>\n",
              "      <td>39.700000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>![cdata</td>\n",
              "      <td>https://www.evemilano.com/cdata-xml/</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>0.333333</td>\n",
              "      <td>5.666667</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                               query  \\\n",
              "0                          cdata xml   \n",
              "1  come vedere la sitemap di un sito   \n",
              "2           regex caratteri speciali   \n",
              "3                          xml cdata   \n",
              "4                            ![cdata   \n",
              "\n",
              "                                                page  clicks  impressions  \\\n",
              "0               https://www.evemilano.com/cdata-xml/       2           11   \n",
              "1  https://www.evemilano.com/3-modi-per-trovare-l...       2            3   \n",
              "2  https://www.evemilano.com/come-funzionano-le-e...       2            2   \n",
              "3               https://www.evemilano.com/cdata-xml/       2           10   \n",
              "4               https://www.evemilano.com/cdata-xml/       1            3   \n",
              "\n",
              "        ctr   position  \n",
              "0  0.181818  42.818182  \n",
              "1  0.666667   1.000000  \n",
              "2  1.000000   2.000000  \n",
              "3  0.200000  39.700000  \n",
              "4  0.333333   5.666667  "
            ]
          },
          "execution_count": 9,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# Funzione per generare l'intervallo di date\n",
        "def get_date_range(num_days_back):\n",
        "    today = datetime.now()\n",
        "    start_date = today - timedelta(days=num_days_back+1)\n",
        "    end_date = today - timedelta(days=1)  # la data finale è ieri\n",
        "    return start_date.strftime('%Y-%m-%d'), end_date.strftime('%Y-%m-%d')\n",
        "\n",
        "# Imposta il periodo di tempo\n",
        "start_date, end_date = get_date_range(giorni)\n",
        "\n",
        "# Converti le date in formato datetime se sono stringhe\n",
        "if type(start_date) == str:\n",
        "    start_date = datetime.strptime(start_date, '%Y-%m-%d')\n",
        "if type(end_date) == str:\n",
        "    end_date = datetime.strptime(end_date, '%Y-%m-%d')\n",
        "\n",
        "# Crea segmenti di un giorno\n",
        "date_segments = [(start_date + timedelta(days=i), start_date + timedelta(days=i + 1) - timedelta(seconds=1))\n",
        "                 for i in range((end_date - start_date).days)]\n",
        "\n",
        "total_segments = len(date_segments)  # Calcola il numero totale di segmenti\n",
        "\n",
        "# Lista per memorizzare i dati di ogni segmento\n",
        "segment_data = []\n",
        "max_attempts = 3  # Numero massimo di tentativi per chiamata\n",
        "\n",
        "# Ciclo su ogni segmento di date\n",
        "for index, (start, end) in enumerate(date_segments):\n",
        "#for start, end in date_segments:\n",
        "    completed = False\n",
        "    attempts = 0\n",
        "    no_data_found = False\n",
        "\n",
        "    while not completed and attempts < max_attempts:\n",
        "        try:\n",
        "            #print(f'Requests from {start} to {end}')\n",
        "            print(f'Requests from {start} to {end} ({index + 1}/{total_segments})')\n",
        "            #ex = extract_gsc_data(webproperty, start, end, countryCall,'query', 'page', 'country','device')\n",
        "            ex = extract_gsc_data(webproperty, start, end, countryCall,contains_gsc,'query', 'page')\n",
        "        except Exception as e:\n",
        "            print(f\"Error: {e}\")\n",
        "            attempts += 1\n",
        "            print(f\"Retrying, attempt {attempts}/{max_attempts}...\")\n",
        "        else:\n",
        "            if ex:\n",
        "                segment_data.append(ex.to_dataframe())\n",
        "                completed = True\n",
        "            else:\n",
        "                no_data_found = True\n",
        "                break  # Interrompi il ciclo while se non vengono trovati dati\n",
        "    if no_data_found:\n",
        "        print(f\"No data found for period {start} to {end}.\")\n",
        "\n",
        "# Concatenazione dei dati\n",
        "final_data = pd.concat(segment_data, ignore_index=True)    \n",
        "print(f'Rows: {final_data.shape[0]}')\n",
        "final_data.head(5)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 10,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Somma totale dei clicks: 1221\n",
            "Somma totale delle impressions: 200821\n"
          ]
        }
      ],
      "source": [
        "# Stampa la somma totale dei clicks e delle impressions\n",
        "total_clicks = final_data['clicks'].sum()\n",
        "total_impressions = final_data['impressions'].sum()\n",
        "print(\"Somma totale dei clicks:\", total_clicks)\n",
        "print(\"Somma totale delle impressions:\", total_impressions)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 11,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "_hKfTPD6mBkw",
        "outputId": "fdb92a71-71dc-41d5-d37e-4ada736be255"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "71858 righe\n",
            "Somma totale dei clicks: 1219\n",
            "Somma totale delle impressions: 178202\n"
          ]
        },
        {
          "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>query</th>\n",
              "      <th>page</th>\n",
              "      <th>clicks</th>\n",
              "      <th>impressions</th>\n",
              "      <th>ctr</th>\n",
              "      <th>position</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>cdata xml</td>\n",
              "      <td>https://www.evemilano.com/cdata-xml/</td>\n",
              "      <td>2</td>\n",
              "      <td>11</td>\n",
              "      <td>0.181818</td>\n",
              "      <td>42</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>come vedere la sitemap di un sito</td>\n",
              "      <td>https://www.evemilano.com/3-modi-per-trovare-l...</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>0.666667</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>regex caratteri speciali</td>\n",
              "      <td>https://www.evemilano.com/come-funzionano-le-e...</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>xml cdata</td>\n",
              "      <td>https://www.evemilano.com/cdata-xml/</td>\n",
              "      <td>2</td>\n",
              "      <td>10</td>\n",
              "      <td>0.200000</td>\n",
              "      <td>39</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>![cdata</td>\n",
              "      <td>https://www.evemilano.com/cdata-xml/</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>0.333333</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                               query  \\\n",
              "0                          cdata xml   \n",
              "1  come vedere la sitemap di un sito   \n",
              "2           regex caratteri speciali   \n",
              "3                          xml cdata   \n",
              "4                            ![cdata   \n",
              "\n",
              "                                                page  clicks  impressions  \\\n",
              "0               https://www.evemilano.com/cdata-xml/       2           11   \n",
              "1  https://www.evemilano.com/3-modi-per-trovare-l...       2            3   \n",
              "2  https://www.evemilano.com/come-funzionano-le-e...       2            2   \n",
              "3               https://www.evemilano.com/cdata-xml/       2           10   \n",
              "4               https://www.evemilano.com/cdata-xml/       1            3   \n",
              "\n",
              "        ctr  position  \n",
              "0  0.181818        42  \n",
              "1  0.666667         1  \n",
              "2  1.000000         2  \n",
              "3  0.200000        39  \n",
              "4  0.333333         5  "
            ]
          },
          "execution_count": 11,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# pulizia db raw \n",
        "# final_data contiene tutte le chiamate alle API\n",
        "final_data1=final_data.copy()\n",
        "######################################\n",
        "\n",
        "# funzione di verifica idoneità del df e pulizia righe\n",
        "def drop_rows_with_hash_and_empty_query(df):\n",
        "    # Controlla se le COLONNE necessarie sono presenti nel DataFrame\n",
        "    if 'page' not in df.columns or 'query' not in df.columns:\n",
        "        print(\"Il DataFrame non ha le colonne necessarie ('page' o 'query'). Operazione interrotta.\")\n",
        "        return df\n",
        "    # Rimuovi righe con '#' nel campo 'page'\n",
        "    df = df[~df['page'].str.contains(\"#\")]\n",
        "    # Rimuovi righe con valori NaN, Null o vuoti nel campo 'query'\n",
        "    df = df[df['query'].notnull() & (df['query'].str.strip() != '')]\n",
        "    return df\n",
        "\n",
        "# Controlla se il DataFrame esiste e ha almeno una riga\n",
        "if 'final_data1' in locals() and not final_data1.empty:\n",
        "    final_data1 = drop_rows_with_hash_and_empty_query(final_data1) # pulisci il dataframe\n",
        "    # print e show\n",
        "    print(f'{final_data1.shape[0]} righe')\n",
        "    final_data1.head(1)\n",
        "else:\n",
        "    print(\"Il DataFrame non esiste o è vuoto. Operazione interrotta.\")\n",
        "    raise SystemExit\n",
        "\n",
        "\n",
        "# Stampa la somma totale dei clicks e delle impressions\n",
        "total_clicks = final_data1['clicks'].sum()\n",
        "total_impressions = final_data1['impressions'].sum()\n",
        "\n",
        "print(\"Somma totale dei clicks:\", total_clicks)\n",
        "print(\"Somma totale delle impressions:\", total_impressions)\n",
        "# formatta position in numero intero\n",
        "final_data1['position'] = final_data1['position'].astype(int)\n",
        "final_data1.head(5)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 12,
      "metadata": {},
      "outputs": [],
      "source": [
        "# Funzione per calcolare la media ponderata\n",
        "def weighted_mean(values, weights):\n",
        "    return np.sum(values * weights) / np.sum(weights)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 13,
      "metadata": {},
      "outputs": [],
      "source": [
        "# funzione formatta ctr\n",
        "def format_ctr(value):\n",
        "    if isinstance(value, float):\n",
        "        return value / 100  # Converti il valore percentuale in float\n",
        "    return value"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 14,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Copiando i dati per la lavorazione...\n",
            "Creando la tabella pivot...\n",
            "Calcolando il CTR...\n",
            "Ordinando la tabella pivot per impressions...\n",
            "Formattando e rinominando la colonna 'position'...\n",
            "Applicando la formattazione al CTR...\n",
            "Ordinando le colonne...\n",
            "Calcolando la somma totale di clicks e impressions...\n",
            "Somma totale dei clicks: 1219\n",
            "Somma totale delle impressions: 178202\n",
            "Rows: 16539\n"
          ]
        }
      ],
      "source": [
        "# tabella pivot query uniche da API\n",
        "print(\"Copiando i dati per la lavorazione...\")\n",
        "final_data2=final_data1.copy()\n",
        "\n",
        "# Crea una tabella pivot con multi-livello di indici\n",
        "print(\"Creando la tabella pivot...\")\n",
        "# Creazione della tabella pivot\n",
        "export_api_pvt = final_data2.pivot_table(\n",
        "    index=['query', 'page'], \n",
        "    values=['clicks', 'impressions', 'position'], \n",
        "    aggfunc={\n",
        "        'clicks': 'sum', \n",
        "        'impressions': 'sum',\n",
        "        'position': lambda x: weighted_mean(x, final_data2.loc[x.index, 'impressions'])\n",
        "    }\n",
        ")\n",
        "\n",
        "# Calcolo del CTR direttamente sul pivot table\n",
        "print(\"Calcolando il CTR...\")\n",
        "export_api_pvt['ctr'] = (export_api_pvt['clicks'] / export_api_pvt['impressions']) * 100\n",
        "\n",
        "# Ordina la tabella pivot in base alle impressions\n",
        "print(\"Ordinando la tabella pivot per impressions...\")\n",
        "export_api_pvt.sort_values(by='impressions', axis=0, ascending=False, inplace=True)\n",
        "\n",
        "# rinomina e formatta position\n",
        "print(\"Formattando e rinominando la colonna 'position'...\")\n",
        "export_api_pvt['position'] = export_api_pvt['position'].astype(int)\n",
        "export_api_pvt = export_api_pvt.rename(columns={'position': 'weighted avg position'})\n",
        "\n",
        "\n",
        "# Apply the formatting to the CTR column\n",
        "print(\"Applicando la formattazione al CTR...\")\n",
        "export_api_pvt['ctr'] = export_api_pvt['ctr'].apply(format_ctr)\n",
        "\n",
        "# ordina le colonne\n",
        "print(\"Ordinando le colonne...\")\n",
        "export_api_pvt = export_api_pvt.reindex(columns=['clicks', 'impressions', 'ctr', 'weighted avg position'])\n",
        "\n",
        "# Stampa la somma totale dei clicks e delle impressions\n",
        "print(\"Calcolando la somma totale di clicks e impressions...\")\n",
        "total_clicks = export_api_pvt['clicks'].sum()\n",
        "total_impressions = export_api_pvt['impressions'].sum()\n",
        "\n",
        "print(\"Somma totale dei clicks:\", total_clicks)\n",
        "print(\"Somma totale delle impressions:\", total_impressions)\n",
        "\n",
        "# Mostra la tabella pivot ordinata\n",
        "print(\"Rows: \" + str(export_api_pvt.shape[0]))\n",
        "export_api_pvt.head(10)\n",
        "\n",
        "\n",
        "# test con media calcolata fuori dalla pivot\n",
        "# da testare su larghi dataset\n",
        "if False:\n",
        "\n",
        "    # tabella pivot query uniche da API\n",
        "    # test speed senza vecchia funzione LAMBDA\n",
        "\n",
        "    print(\"Copiando i dati per la lavorazione...\")\n",
        "    final_data2=final_data1.copy()\n",
        "\n",
        "    # Calcola la posizione ponderata (weighted position) per ogni riga in final_data2\n",
        "    final_data2['weighted_position'] = final_data2['position'] * final_data2['impressions']\n",
        "\n",
        "    # Modifica la tabella pivot per usare il nuovo calcolo\n",
        "    export_api_pvt = final_data2.pivot_table(\n",
        "        index=['query', 'page'], \n",
        "        values=['clicks', 'impressions', 'weighted_position'], \n",
        "        aggfunc={\n",
        "            'clicks': 'sum', \n",
        "            'impressions': 'sum',\n",
        "            'weighted_position': 'sum'\n",
        "        }\n",
        "    )\n",
        "\n",
        "    # Calcola la posizione finale ponderata\n",
        "    export_api_pvt['position'] = export_api_pvt['weighted_position'] / export_api_pvt['impressions']\n",
        "    export_api_pvt.drop(columns=['weighted_position'], inplace=True)\n",
        "\n",
        "    # Calcolo del CTR direttamente sul pivot table\n",
        "    print(\"Calcolando il CTR...\")\n",
        "    export_api_pvt['ctr'] = (export_api_pvt['clicks'] / export_api_pvt['impressions']) * 100\n",
        "\n",
        "    # Ordina la tabella pivot in base alle impressions\n",
        "    print(\"Ordinando la tabella pivot per impressions...\")\n",
        "    export_api_pvt.sort_values(by='impressions', axis=0, ascending=False, inplace=True)\n",
        "\n",
        "    # rinomina e formatta position\n",
        "    print(\"Formattando e rinominando la colonna 'position'...\")\n",
        "    export_api_pvt = export_api_pvt.rename(columns={'position': 'weighted avg position'})\n",
        "    export_api_pvt['weighted avg position'] = export_api_pvt['weighted avg position'].astype(int)\n",
        "\n",
        "    # Apply the formatting to the CTR column \n",
        "    print(\"Applicando la formattazione al CTR...\")\n",
        "    export_api_pvt['ctr'] = export_api_pvt['ctr'].apply(format_ctr)\n",
        "\n",
        "    # ordina le colonne\n",
        "    print(\"Ordinando le colonne...\")\n",
        "    export_api_pvt = export_api_pvt.reindex(columns=['clicks', 'impressions', 'ctr', 'weighted avg position'])\n",
        "\n",
        "    # Stampa la somma totale dei clicks e delle impressions\n",
        "    print(\"Calcolando la somma totale di clicks e impressions...\")\n",
        "    total_clicks = export_api_pvt['clicks'].sum()\n",
        "    total_impressions = export_api_pvt['impressions'].sum()\n",
        "\n",
        "    print(\"Somma totale dei clicks:\", total_clicks)\n",
        "    print(\"Somma totale delle impressions:\", total_impressions)\n",
        "\n",
        "    # Mostra la tabella pivot ordinata\n",
        "    print(\"Rows: \" + str(export_api_pvt.shape[0]))\n",
        "    export_api_pvt.head(5)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 15,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 170
        },
        "id": "qJIsogadT_oc",
        "outputId": "1af54fb2-b7fc-4ab5-a923-4982fcaefb6d"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Rows: 16539\n"
          ]
        },
        {
          "data": {
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              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "\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>query</th>\n",
              "      <th>page</th>\n",
              "      <th>clicks</th>\n",
              "      <th>impressions</th>\n",
              "      <th>ctr</th>\n",
              "      <th>weighted avg position</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>proxy</td>\n",
              "      <td>https://www.evemilano.com/proxy-server/</td>\n",
              "      <td>0</td>\n",
              "      <td>3810</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>web archive</td>\n",
              "      <td>https://www.evemilano.com/web-archive/</td>\n",
              "      <td>16</td>\n",
              "      <td>3735</td>\n",
              "      <td>0.004284</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>webarchive</td>\n",
              "      <td>https://www.evemilano.com/web-archive/</td>\n",
              "      <td>8</td>\n",
              "      <td>2479</td>\n",
              "      <td>0.003227</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "         query                                     page  clicks  impressions  \\\n",
              "0        proxy  https://www.evemilano.com/proxy-server/       0         3810   \n",
              "1  web archive   https://www.evemilano.com/web-archive/      16         3735   \n",
              "2   webarchive   https://www.evemilano.com/web-archive/       8         2479   \n",
              "\n",
              "        ctr  weighted avg position  \n",
              "0  0.000000                      8  \n",
              "1  0.004284                      4  \n",
              "2  0.003227                      4  "
            ]
          },
          "execution_count": 15,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# crea foglio raw\n",
        "raw_df = export_api_pvt.copy()\n",
        "raw_df = raw_df.reset_index()\n",
        "print(\"Rows: \" + str(raw_df.shape[0]))\n",
        "raw_df.head(3)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 16,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Preparazione dei dati\n",
            "Conversione colonna query in stringa\n",
            "Creazione colonna conta caratteri\n",
            "Rimozione stopword e applica stemming in un unico passaggio\n",
            "Conteggio stemmi e ordinamento per frequenza\n",
            "Mappatura degli stemmi alle loro posizioni nella lista ordinata\n",
            "Creazione della nuova colonna ordinando gli stemmi per frequenza\n",
            "Creazione della nuova colonna Stemma più frequente\n",
            "Eliminazione colonna Stemming\n",
            "Somma totale dei clicks: 1219\n",
            "Somma totale delle impressions: 178202\n"
          ]
        },
        {
          "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>query</th>\n",
              "      <th>page</th>\n",
              "      <th>clicks</th>\n",
              "      <th>impressions</th>\n",
              "      <th>ctr</th>\n",
              "      <th>weighted avg position</th>\n",
              "      <th>Char</th>\n",
              "      <th>Stemming</th>\n",
              "      <th>Stems Ordered by frequency</th>\n",
              "      <th>Strongest word stem</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>proxy</td>\n",
              "      <td>https://www.evemilano.com/proxy-server/</td>\n",
              "      <td>0</td>\n",
              "      <td>3810</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>8</td>\n",
              "      <td>5</td>\n",
              "      <td>proxy</td>\n",
              "      <td>proxy</td>\n",
              "      <td>proxy</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>web archive</td>\n",
              "      <td>https://www.evemilano.com/web-archive/</td>\n",
              "      <td>16</td>\n",
              "      <td>3735</td>\n",
              "      <td>0.004284</td>\n",
              "      <td>4</td>\n",
              "      <td>11</td>\n",
              "      <td>web archiv</td>\n",
              "      <td>web archiv</td>\n",
              "      <td>web</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>webarchive</td>\n",
              "      <td>https://www.evemilano.com/web-archive/</td>\n",
              "      <td>8</td>\n",
              "      <td>2479</td>\n",
              "      <td>0.003227</td>\n",
              "      <td>4</td>\n",
              "      <td>10</td>\n",
              "      <td>webarc</td>\n",
              "      <td>webarc</td>\n",
              "      <td>webarc</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>gdpr significato</td>\n",
              "      <td>https://www.evemilano.com/gdpr/</td>\n",
              "      <td>0</td>\n",
              "      <td>2420</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>8</td>\n",
              "      <td>16</td>\n",
              "      <td>gdpr signific</td>\n",
              "      <td>signific gdpr</td>\n",
              "      <td>signific</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>l'indirizzo completo di un sito</td>\n",
              "      <td>https://www.evemilano.com/come-trovare-indiriz...</td>\n",
              "      <td>0</td>\n",
              "      <td>1681</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>9</td>\n",
              "      <td>31</td>\n",
              "      <td>l'indirizz complet sit</td>\n",
              "      <td>sit l'indirizz complet</td>\n",
              "      <td>sit</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>agenzia seo</td>\n",
              "      <td>https://www.evemilano.com/servizi-seo/agenzia/</td>\n",
              "      <td>0</td>\n",
              "      <td>1624</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>91</td>\n",
              "      <td>11</td>\n",
              "      <td>agenz seo</td>\n",
              "      <td>seo agenz</td>\n",
              "      <td>seo</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                             query  \\\n",
              "0                            proxy   \n",
              "1                      web archive   \n",
              "2                       webarchive   \n",
              "3                 gdpr significato   \n",
              "4  l'indirizzo completo di un sito   \n",
              "5                      agenzia seo   \n",
              "\n",
              "                                                page  clicks  impressions  \\\n",
              "0            https://www.evemilano.com/proxy-server/       0         3810   \n",
              "1             https://www.evemilano.com/web-archive/      16         3735   \n",
              "2             https://www.evemilano.com/web-archive/       8         2479   \n",
              "3                    https://www.evemilano.com/gdpr/       0         2420   \n",
              "4  https://www.evemilano.com/come-trovare-indiriz...       0         1681   \n",
              "5     https://www.evemilano.com/servizi-seo/agenzia/       0         1624   \n",
              "\n",
              "        ctr  weighted avg position  Char                Stemming  \\\n",
              "0  0.000000                      8     5                   proxy   \n",
              "1  0.004284                      4    11              web archiv   \n",
              "2  0.003227                      4    10                  webarc   \n",
              "3  0.000000                      8    16           gdpr signific   \n",
              "4  0.000000                      9    31  l'indirizz complet sit   \n",
              "5  0.000000                     91    11               agenz seo   \n",
              "\n",
              "  Stems Ordered by frequency Strongest word stem  \n",
              "0                      proxy               proxy  \n",
              "1                 web archiv                 web  \n",
              "2                     webarc              webarc  \n",
              "3              signific gdpr            signific  \n",
              "4     sit l'indirizz complet                 sit  \n",
              "5                  seo agenz                 seo  "
            ]
          },
          "execution_count": 16,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# PULIZIA E embedding delle query\n",
        "###################################################################################\n",
        "print(\"Preparazione dei dati\")\n",
        "print(\"Conversione colonna query in stringa\")\n",
        "raw_df['query'] = raw_df['query'].fillna('').apply(str)\n",
        "print(\"Creazione colonna conta caratteri\")\n",
        "raw_df['Char'] = raw_df['query'].apply(len)  \n",
        "\n",
        "print(\"Rimozione stopword e applica stemming in un unico passaggio\")\n",
        "raw_df['Stemming'] = raw_df['query'].apply(\n",
        "    lambda x: ' '.join([stemmer.stem(word) for word in x.split() if word.lower() not in stopwords]))\n",
        "\n",
        "print(\"Conteggio stemmi e ordinamento per frequenza\")\n",
        "stem_counts = Counter(' '.join(raw_df['Stemming']).split())\n",
        "sorted_stems = sorted(stem_counts.items(), key=itemgetter(1), reverse=True)\n",
        "\n",
        "print(\"Mappatura degli stemmi alle loro posizioni nella lista ordinata\")\n",
        "stem_position_dict = {stem: i for i, (stem, _) in enumerate(sorted_stems)}\n",
        "\n",
        "print(\"Creazione della nuova colonna ordinando gli stemmi per frequenza\")\n",
        "raw_df['Stems Ordered by frequency'] = raw_df['Stemming'].apply(\n",
        "    lambda x: ' '.join(sorted(x.split(), key=stem_position_dict.get)))\n",
        "\n",
        "print(\"Creazione della nuova colonna Stemma più frequente\")\n",
        "raw_df['Strongest word stem'] = raw_df['Stems Ordered by frequency'].str.split().str[0]\n",
        "\n",
        "print(\"Eliminazione colonna Stemming\")\n",
        "#raw_df = raw_df.drop([ 'Stemming'], axis=1)\n",
        "\n",
        "# Stampa la somma totale dei clicks e delle impressions\n",
        "total_clicks = raw_df['clicks'].sum()\n",
        "total_impressions = raw_df['impressions'].sum()\n",
        "\n",
        "print(\"Somma totale dei clicks:\", total_clicks)\n",
        "print(\"Somma totale delle impressions:\", total_impressions)\n",
        "\n",
        "raw_df.head(6)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 17,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Preparazione dei dati\n",
            "Conversione colonna query in stringa\n",
            "Creazione colonna conta caratteri\n",
            "Rimozione stopword e applicazione della lemmatizzazione in un unico passaggio\n",
            "Conteggio lemmi e ordinamento per frequenza\n",
            "Mappatura dei lemmi alle loro posizioni nella lista ordinata\n",
            "Creazione della nuova colonna ordinando i lemmi per frequenza\n",
            "Creazione della nuova colonna Lemma più frequente\n",
            "Eliminazione colonna Lemmatized\n",
            "Somma totale dei clicks: 1219\n",
            "Somma totale delle impressions: 178202\n"
          ]
        },
        {
          "data": {
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              "<div>\n",
              "<style scoped>\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",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>query</th>\n",
              "      <th>page</th>\n",
              "      <th>clicks</th>\n",
              "      <th>impressions</th>\n",
              "      <th>ctr</th>\n",
              "      <th>weighted avg position</th>\n",
              "      <th>Char</th>\n",
              "      <th>Stemming</th>\n",
              "      <th>Stems Ordered by frequency</th>\n",
              "      <th>Strongest word stem</th>\n",
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              "      <th>Lemmas Ordered by frequency</th>\n",
              "      <th>Strongest lemma</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>proxy</td>\n",
              "      <td>https://www.evemilano.com/proxy-server/</td>\n",
              "      <td>0</td>\n",
              "      <td>3810</td>\n",
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              "    </tr>\n",
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              "      <th>1</th>\n",
              "      <td>web archive</td>\n",
              "      <td>https://www.evemilano.com/web-archive/</td>\n",
              "      <td>16</td>\n",
              "      <td>3735</td>\n",
              "      <td>0.004284</td>\n",
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              "      <th>2</th>\n",
              "      <td>webarchive</td>\n",
              "      <td>https://www.evemilano.com/web-archive/</td>\n",
              "      <td>8</td>\n",
              "      <td>2479</td>\n",
              "      <td>0.003227</td>\n",
              "      <td>4</td>\n",
              "      <td>10</td>\n",
              "      <td>webarc</td>\n",
              "      <td>webarc</td>\n",
              "      <td>webarc</td>\n",
              "      <td>Webarchive</td>\n",
              "      <td>Webarchive</td>\n",
              "      <td>Webarchive</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>gdpr significato</td>\n",
              "      <td>https://www.evemilano.com/gdpr/</td>\n",
              "      <td>0</td>\n",
              "      <td>2420</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>8</td>\n",
              "      <td>16</td>\n",
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              "      <td>significato gdpr</td>\n",
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              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>l'indirizzo completo di un sito</td>\n",
              "      <td>https://www.evemilano.com/come-trovare-indiriz...</td>\n",
              "      <td>0</td>\n",
              "      <td>1681</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>9</td>\n",
              "      <td>31</td>\n",
              "      <td>l'indirizz complet sit</td>\n",
              "      <td>sit l'indirizz complet</td>\n",
              "      <td>sit</td>\n",
              "      <td>indirizzo completo sito</td>\n",
              "      <td>sito indirizzo completo</td>\n",
              "      <td>sito</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>agenzia seo</td>\n",
              "      <td>https://www.evemilano.com/servizi-seo/agenzia/</td>\n",
              "      <td>0</td>\n",
              "      <td>1624</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>91</td>\n",
              "      <td>11</td>\n",
              "      <td>agenz seo</td>\n",
              "      <td>seo agenz</td>\n",
              "      <td>seo</td>\n",
              "      <td>agenzia seo</td>\n",
              "      <td>seo agenzia</td>\n",
              "      <td>seo</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                             query  \\\n",
              "0                            proxy   \n",
              "1                      web archive   \n",
              "2                       webarchive   \n",
              "3                 gdpr significato   \n",
              "4  l'indirizzo completo di un sito   \n",
              "5                      agenzia seo   \n",
              "\n",
              "                                                page  clicks  impressions  \\\n",
              "0            https://www.evemilano.com/proxy-server/       0         3810   \n",
              "1             https://www.evemilano.com/web-archive/      16         3735   \n",
              "2             https://www.evemilano.com/web-archive/       8         2479   \n",
              "3                    https://www.evemilano.com/gdpr/       0         2420   \n",
              "4  https://www.evemilano.com/come-trovare-indiriz...       0         1681   \n",
              "5     https://www.evemilano.com/servizi-seo/agenzia/       0         1624   \n",
              "\n",
              "        ctr  weighted avg position  Char                Stemming  \\\n",
              "0  0.000000                      8     5                   proxy   \n",
              "1  0.004284                      4    11              web archiv   \n",
              "2  0.003227                      4    10                  webarc   \n",
              "3  0.000000                      8    16           gdpr signific   \n",
              "4  0.000000                      9    31  l'indirizz complet sit   \n",
              "5  0.000000                     91    11               agenz seo   \n",
              "\n",
              "  Stems Ordered by frequency Strongest word stem               Lemmatized  \\\n",
              "0                      proxy               proxy                    proxy   \n",
              "1                 web archiv                 web              web archive   \n",
              "2                     webarc              webarc               Webarchive   \n",
              "3              signific gdpr            signific         gdpr significato   \n",
              "4     sit l'indirizz complet                 sit  indirizzo completo sito   \n",
              "5                  seo agenz                 seo              agenzia seo   \n",
              "\n",
              "  Lemmas Ordered by frequency Strongest lemma  \n",
              "0                       proxy           proxy  \n",
              "1                 web archive             web  \n",
              "2                  Webarchive      Webarchive  \n",
              "3            significato gdpr     significato  \n",
              "4     sito indirizzo completo            sito  \n",
              "5                 seo agenzia             seo  "
            ]
          },
          "execution_count": 17,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# PULIZIA E embedding delle query con spaCy \n",
        "from collections import Counter\n",
        "from operator import itemgetter\n",
        "\n",
        "# Caricare il modello italiano di spaCy\n",
        "\n",
        "print(\"Preparazione dei dati\")\n",
        "print(\"Conversione colonna query in stringa\")\n",
        "raw_df['query'] = raw_df['query'].fillna('').apply(str)\n",
        "print(\"Creazione colonna conta caratteri\")\n",
        "raw_df['Char'] = raw_df['query'].apply(len)  \n",
        "\n",
        "print(\"Rimozione stopword e applicazione della lemmatizzazione in un unico passaggio\")\n",
        "def process_text(text):\n",
        "    doc = nlp(text)\n",
        "    return ' '.join([token.lemma_ for token in doc if not token.is_stop and not token.is_punct])\n",
        "\n",
        "raw_df['Lemmatized'] = raw_df['query'].apply(process_text)\n",
        "\n",
        "\n",
        "print(\"Conteggio lemmi e ordinamento per frequenza\")\n",
        "lemma_counts = Counter(' '.join(raw_df['Lemmatized']).split())\n",
        "sorted_lemmas = sorted(lemma_counts.items(), key=itemgetter(1), reverse=True)\n",
        "\n",
        "print(\"Mappatura dei lemmi alle loro posizioni nella lista ordinata\")\n",
        "lemma_position_dict = {lemma: i for i, (lemma, _) in enumerate(sorted_lemmas)}\n",
        "\n",
        "print(\"Creazione della nuova colonna ordinando i lemmi per frequenza\")\n",
        "raw_df['Lemmas Ordered by frequency'] = raw_df['Lemmatized'].apply(\n",
        "    lambda x: ' '.join(sorted(x.split(), key=lemma_position_dict.get)))\n",
        "\n",
        "print(\"Creazione della nuova colonna Lemma più frequente\")\n",
        "raw_df['Strongest lemma'] = raw_df['Lemmas Ordered by frequency'].str.split().str[0]\n",
        "\n",
        "print(\"Eliminazione colonna Lemmatized\")\n",
        "#raw_df = raw_df.drop(['Lemmatized'], axis=1)\n",
        "\n",
        "# Stampa la somma totale dei clicks e delle impressions\n",
        "total_clicks = raw_df['clicks'].sum()\n",
        "total_impressions = raw_df['impressions'].sum()\n",
        "\n",
        "print(\"Somma totale dei clicks:\", total_clicks)\n",
        "print(\"Somma totale delle impressions:\", total_impressions)\n",
        "\n",
        "raw_df.head(6)\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 18,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Elaborazione dei testi con SpaCy avviata\n",
            "Estrazione sostantivi\n",
            "Somma totale dei clicks: 1219\n",
            "Somma totale delle impressions: 178202\n",
            "classificazione Spacy terminata\n"
          ]
        },
        {
          "data": {
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              "    }\n",
              "\n",
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              "        vertical-align: top;\n",
              "    }\n",
              "\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>query</th>\n",
              "      <th>page</th>\n",
              "      <th>clicks</th>\n",
              "      <th>impressions</th>\n",
              "      <th>ctr</th>\n",
              "      <th>weighted avg position</th>\n",
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              "      <th>Lemmatized</th>\n",
              "      <th>Lemmas Ordered by frequency</th>\n",
              "      <th>Strongest lemma</th>\n",
              "      <th>spacy_nouns</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>proxy</td>\n",
              "      <td>https://www.evemilano.com/proxy-server/</td>\n",
              "      <td>0</td>\n",
              "      <td>3810</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>8</td>\n",
              "      <td>5</td>\n",
              "      <td>proxy</td>\n",
              "      <td>proxy</td>\n",
              "      <td>proxy</td>\n",
              "      <td>proxy</td>\n",
              "      <td>proxy</td>\n",
              "      <td>proxy</td>\n",
              "      <td>proxy</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>web archive</td>\n",
              "      <td>https://www.evemilano.com/web-archive/</td>\n",
              "      <td>16</td>\n",
              "      <td>3735</td>\n",
              "      <td>0.004284</td>\n",
              "      <td>4</td>\n",
              "      <td>11</td>\n",
              "      <td>web archiv</td>\n",
              "      <td>web archiv</td>\n",
              "      <td>web</td>\n",
              "      <td>web archive</td>\n",
              "      <td>web archive</td>\n",
              "      <td>web</td>\n",
              "      <td>web</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>webarchive</td>\n",
              "      <td>https://www.evemilano.com/web-archive/</td>\n",
              "      <td>8</td>\n",
              "      <td>2479</td>\n",
              "      <td>0.003227</td>\n",
              "      <td>4</td>\n",
              "      <td>10</td>\n",
              "      <td>webarc</td>\n",
              "      <td>webarc</td>\n",
              "      <td>webarc</td>\n",
              "      <td>Webarchive</td>\n",
              "      <td>Webarchive</td>\n",
              "      <td>Webarchive</td>\n",
              "      <td>webarchive</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "         query                                     page  clicks  impressions  \\\n",
              "0        proxy  https://www.evemilano.com/proxy-server/       0         3810   \n",
              "1  web archive   https://www.evemilano.com/web-archive/      16         3735   \n",
              "2   webarchive   https://www.evemilano.com/web-archive/       8         2479   \n",
              "\n",
              "        ctr  weighted avg position  Char    Stemming  \\\n",
              "0  0.000000                      8     5       proxy   \n",
              "1  0.004284                      4    11  web archiv   \n",
              "2  0.003227                      4    10      webarc   \n",
              "\n",
              "  Stems Ordered by frequency Strongest word stem   Lemmatized  \\\n",
              "0                      proxy               proxy        proxy   \n",
              "1                 web archiv                 web  web archive   \n",
              "2                     webarc              webarc   Webarchive   \n",
              "\n",
              "  Lemmas Ordered by frequency Strongest lemma spacy_nouns  \n",
              "0                       proxy           proxy       proxy  \n",
              "1                 web archive             web         web  \n",
              "2                  Webarchive      Webarchive  webarchive  "
            ]
          },
          "execution_count": 18,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# classificazione spacy versione ottimizzata con pipe\n",
        "print('Elaborazione dei testi con SpaCy avviata')\n",
        "# Elaborazione dei testi in batch utilizzando il metodo pipe di Spacy, che è più efficiente rispetto all'elaborazione dei testi uno alla volta\n",
        "# batch_size può essere regolato in base alla quantità di memoria disponibile\n",
        "spacy_analysis = list(nlp.pipe(raw_df['query'], batch_size=1000))\n",
        "\n",
        "# Con questa modifica, la colonna spacy_nouns conterrà tutti i sostantivi presenti nella query, separati da uno spazio. \n",
        "# Se non ci sono sostantivi in una particolare query, il valore sarà 'other'.\n",
        "# Estrai tutti i sostantivi\n",
        "def extract_nouns(doc):\n",
        "    return ' '.join([token.text for token in doc if token.pos_ == 'NOUN'])\n",
        "# Applica la funzione per estrarre sostantivi a ogni documento\n",
        "print('Estrazione sostantivi')\n",
        "raw_df['spacy_nouns'] = [extract_nouns(doc) if any(token.pos_ == 'NOUN' for token in doc) else 'other' for doc in spacy_analysis]\n",
        "\n",
        "# Stampa la somma totale dei clicks e delle impressions\n",
        "total_clicks = raw_df['clicks'].sum()\n",
        "total_impressions = raw_df['impressions'].sum()\n",
        "print(\"Somma totale dei clicks:\", total_clicks)\n",
        "print(\"Somma totale delle impressions:\", total_impressions)\n",
        "print('classificazione Spacy terminata')\n",
        "raw_df.head(3)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 19,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Creazione tabella pivot con trending topic\n",
            "Calcolo del CTR direttamente sul pivot table\n",
            "Somma totale dei clicks: 714\n",
            "Somma totale delle impressions: 132749\n",
            "Rows: 231\n"
          ]
        },
        {
          "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>clicks</th>\n",
              "      <th>impressions</th>\n",
              "      <th>ctr</th>\n",
              "      <th>weighted avg position</th>\n",
              "      <th>query</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Trending Topics</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>other</th>\n",
              "      <td>321</td>\n",
              "      <td>24417</td>\n",
              "      <td>0.013147</td>\n",
              "      <td>29</td>\n",
              "      <td>3442</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>proxy</th>\n",
              "      <td>0</td>\n",
              "      <td>6204</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>8</td>\n",
              "      <td>85</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>gdpr</th>\n",
              "      <td>0</td>\n",
              "      <td>4619</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>11</td>\n",
              "      <td>30</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                 clicks  impressions       ctr  weighted avg position  query\n",
              "Trending Topics                                                             \n",
              "other               321        24417  0.013147                     29   3442\n",
              "proxy                 0         6204  0.000000                      8     85\n",
              "gdpr                  0         4619  0.000000                     11     30"
            ]
          },
          "execution_count": 19,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "#pvt spacy - trending topic table\n",
        "print('Creazione tabella pivot con trending topic')\n",
        "\n",
        "# Crea una tabella pivot con multi-livello di indici\n",
        "pvt_spacy = raw_df.pivot_table(\n",
        "    index='spacy_nouns', \n",
        "    values=['clicks', 'impressions', 'weighted avg position', 'query'], \n",
        "    aggfunc={\n",
        "        'clicks': 'sum',\n",
        "        'impressions': 'sum',\n",
        "        'weighted avg position': lambda x: weighted_mean(x, raw_df.loc[x.index, 'impressions']),\n",
        "        'query': 'count'  # Conteggio delle query\n",
        "    }\n",
        ")\n",
        "print('Calcolo del CTR direttamente sul pivot table')\n",
        "# Calcolo del CTR direttamente sul pivot table\n",
        "pvt_spacy['ctr'] = (pvt_spacy['clicks'] / pvt_spacy['impressions']) * 100\n",
        "\n",
        "\n",
        "# Ordina la tabella pivot in base alla somma di impressions\n",
        "pvt_spacy.sort_values(by='impressions', axis=0, ascending=False, inplace=True)\n",
        "pvt_spacy = pvt_spacy.reindex(columns=['clicks', 'impressions', 'ctr', 'weighted avg position','query'])\n",
        "\n",
        "# Applica la formattazione alla colonna CTR\n",
        "pvt_spacy['ctr'] = pvt_spacy['ctr'].apply(format_ctr)\n",
        "# Converte i valori di 'weighted avg position' da decimali a interi\n",
        "pvt_spacy['weighted avg position'] = pvt_spacy['weighted avg position'].astype(int)\n",
        "\n",
        "# Rinomina la colonna 'spacy_noun' in 'Trending Topics'\n",
        "pvt_spacy.index = pvt_spacy.index.rename(\"Trending Topics\")\n",
        "\n",
        "# cancella i topic con meno di 2 query\n",
        "pvt_spacy = pvt_spacy[pvt_spacy['query'] >= 2]\n",
        "# cancella i topic con meno di 100 impressions\n",
        "pvt_spacy = pvt_spacy[pvt_spacy['impressions'] >= 100]\n",
        "\n",
        "# Stampa la somma totale dei clicks e delle impressions\n",
        "total_clicks = pvt_spacy['clicks'].sum()\n",
        "total_impressions = pvt_spacy['impressions'].sum()\n",
        "\n",
        "print(\"Somma totale dei clicks:\", total_clicks)\n",
        "print(\"Somma totale delle impressions:\", total_impressions)\n",
        "\n",
        "\n",
        "# Mostra la tabella pivot ordinata\n",
        "print(\"Rows: \" + str(pvt_spacy.shape[0]))\n",
        "pvt_spacy.head(3)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 62,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Creazione tabella pivot con trending topic\n",
            "Calcolo del CTR direttamente sul pivot table\n",
            "Somma totale dei clicks: 1050\n",
            "Somma totale delle impressions: 162848\n",
            "Rows: 153\n"
          ]
        },
        {
          "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>clicks</th>\n",
              "      <th>impressions</th>\n",
              "      <th>ctr</th>\n",
              "      <th>weighted avg position</th>\n",
              "      <th>query</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Trending Lemmas</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>seo</th>\n",
              "      <td>12</td>\n",
              "      <td>24748</td>\n",
              "      <td>0.05%</td>\n",
              "      <td>51</td>\n",
              "      <td>1294</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>google</th>\n",
              "      <td>29</td>\n",
              "      <td>21250</td>\n",
              "      <td>0.14%</td>\n",
              "      <td>44</td>\n",
              "      <td>2124</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>web</th>\n",
              "      <td>43</td>\n",
              "      <td>15353</td>\n",
              "      <td>0.28%</td>\n",
              "      <td>35</td>\n",
              "      <td>659</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                 clicks  impressions   ctr  weighted avg position  query\n",
              "Trending Lemmas                                                         \n",
              "seo                  12        24748 0.05%                     51   1294\n",
              "google               29        21250 0.14%                     44   2124\n",
              "web                  43        15353 0.28%                     35    659"
            ]
          },
          "execution_count": 62,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "#pvt LEMMI - Lemmas topic table\n",
        "print('Creazione tabella pivot con trending topic')\n",
        "\n",
        "# Crea una tabella pivot con multi-livello di indici\n",
        "pvt_lemmy = raw_df.pivot_table(\n",
        "    index='Strongest lemma', \n",
        "    values=['clicks', 'impressions', 'weighted avg position', 'query'], \n",
        "    aggfunc={\n",
        "        'clicks': 'sum',\n",
        "        'impressions': 'sum',\n",
        "        'weighted avg position': lambda x: weighted_mean(x, raw_df.loc[x.index, 'impressions']),\n",
        "        'query': 'count'  # Conteggio delle query\n",
        "    }\n",
        ")\n",
        "print('Calcolo del CTR direttamente sul pivot table')\n",
        "# Calcolo del CTR direttamente sul pivot table\n",
        "pvt_lemmy['ctr'] = (pvt_lemmy['clicks'] / pvt_lemmy['impressions']) * 100\n",
        "\n",
        "\n",
        "# Ordina la tabella pivot in base alla somma di impressions\n",
        "pvt_lemmy.sort_values(by='impressions', axis=0, ascending=False, inplace=True)\n",
        "pvt_lemmy = pvt_lemmy.reindex(columns=['clicks', 'impressions', 'ctr', 'weighted avg position','query'])\n",
        "\n",
        "# Applica la formattazione alla colonna CTR\n",
        "pvt_lemmy['ctr'] = pvt_lemmy['ctr'].apply(format_ctr)\n",
        "# Converte i valori di 'weighted avg position' da decimali a interi\n",
        "pvt_lemmy['weighted avg position'] = pvt_lemmy['weighted avg position'].astype(int)\n",
        "\n",
        "# Rinomina la colonna 'spacy_noun' in 'Trending Topics'\n",
        "pvt_lemmy.index = pvt_lemmy.index.rename(\"Trending Lemmas\")\n",
        "\n",
        "# cancella i topic con meno di 2 query\n",
        "pvt_lemmy = pvt_lemmy[pvt_lemmy['query'] >= 2]\n",
        "# cancella i topic con meno di 100 impressions\n",
        "pvt_lemmy = pvt_lemmy[pvt_lemmy['impressions'] >= 100]\n",
        "\n",
        "# Stampa la somma totale dei clicks e delle impressions\n",
        "total_clicks = pvt_lemmy['clicks'].sum()\n",
        "total_impressions = pvt_lemmy['impressions'].sum()\n",
        "\n",
        "print(\"Somma totale dei clicks:\", total_clicks)\n",
        "print(\"Somma totale delle impressions:\", total_impressions)\n",
        "\n",
        "\n",
        "# Mostra la tabella pivot ordinata\n",
        "print(\"Rows: \" + str(pvt_lemmy.shape[0]))\n",
        "pvt_lemmy.head(3)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 63,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Creazione tabella pivot con trending stemming\n",
            "Somma totale dei clicks: 1032\n",
            "Somma totale delle impressions: 165731\n",
            "Rows: 139\n"
          ]
        },
        {
          "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>clicks</th>\n",
              "      <th>impressions</th>\n",
              "      <th>ctr</th>\n",
              "      <th>weighted avg position</th>\n",
              "      <th>query</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Trending Stemming</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>seo</th>\n",
              "      <td>12</td>\n",
              "      <td>24568</td>\n",
              "      <td>0.05%</td>\n",
              "      <td>51</td>\n",
              "      <td>1289</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>googl</th>\n",
              "      <td>36</td>\n",
              "      <td>24332</td>\n",
              "      <td>0.15%</td>\n",
              "      <td>44</td>\n",
              "      <td>2408</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>web</th>\n",
              "      <td>43</td>\n",
              "      <td>15230</td>\n",
              "      <td>0.28%</td>\n",
              "      <td>35</td>\n",
              "      <td>653</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                   clicks  impressions   ctr  weighted avg position  query\n",
              "Trending Stemming                                                         \n",
              "seo                    12        24568 0.05%                     51   1289\n",
              "googl                  36        24332 0.15%                     44   2408\n",
              "web                    43        15230 0.28%                     35    653"
            ]
          },
          "execution_count": 63,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "#pvt spacy trending stemming\n",
        "print('Creazione tabella pivot con trending stemming')\n",
        "\n",
        "# Crea una tabella pivot con multi-livello di indici\n",
        "pvt_stem = raw_df.pivot_table(\n",
        "    index='Strongest word stem', \n",
        "    values=['clicks', 'impressions', 'weighted avg position', 'query'], \n",
        "    aggfunc={\n",
        "        'clicks': 'sum',\n",
        "        'impressions': 'sum',\n",
        "        'weighted avg position': lambda x: weighted_mean(x, raw_df.loc[x.index, 'impressions']),\n",
        "        'query': 'count'  # Conteggio delle query\n",
        "    }\n",
        ")\n",
        "\n",
        "# Calcolo del CTR direttamente sul pivot table\n",
        "pvt_stem['ctr'] = (pvt_stem['clicks'] / pvt_stem['impressions']) * 100\n",
        "\n",
        "\n",
        "\n",
        "# Ordina la tabella pivot in base alla somma di impressions\n",
        "pvt_stem.sort_values(by='impressions', axis=0, ascending=False, inplace=True)\n",
        "pvt_stem = pvt_stem.reindex(columns=['clicks', 'impressions', 'ctr', 'weighted avg position', 'query'])\n",
        "\n",
        "# Converte i valori di 'weighted avg position' da decimali a interi\n",
        "pvt_stem['weighted avg position'] = pvt_stem['weighted avg position'].astype(int)\n",
        "# Applica la formattazione alla colonna CTR\n",
        "pvt_stem['ctr'] = pvt_stem['ctr'].apply(format_ctr)\n",
        "\n",
        "\n",
        "# Rinomina la colonna 'Strongest word stem' in 'Trending Stemming'\n",
        "pvt_stem.index = pvt_stem.index.rename(\"Trending Stemming\")\n",
        "\n",
        "# Filtra gli stemmi con meno di 2 query e meno di 100 impressions\n",
        "pvt_stem = pvt_stem[pvt_stem['query'] >= 2]\n",
        "pvt_stem = pvt_stem[pvt_stem['impressions'] >= 100]\n",
        "\n",
        "# Stampa la somma totale dei clicks e delle impressions\n",
        "total_clicks = pvt_stem['clicks'].sum()\n",
        "total_impressions = pvt_stem['impressions'].sum()\n",
        "\n",
        "print(\"Somma totale dei clicks:\", total_clicks)\n",
        "print(\"Somma totale delle impressions:\", total_impressions)\n",
        "\n",
        "# Mostra la tabella pivot ordinata\n",
        "print(\"Rows: \" + str(pvt_stem.shape[0]))\n",
        "pvt_stem.head(3)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 64,
      "metadata": {},
      "outputs": [],
      "source": [
        "# calcolo brand per rimozione query brand e calcolo CTR medio del sito web"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 65,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Rows: 2\n"
          ]
        },
        {
          "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>counts</th>\n",
              "      <th>Count %</th>\n",
              "      <th>Total Clicks</th>\n",
              "      <th>Clicks %</th>\n",
              "      <th>Total Impressions</th>\n",
              "      <th>Imp %</th>\n",
              "      <th>ctr</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>cats</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>Non-branded</th>\n",
              "      <td>15668</td>\n",
              "      <td>99.97%</td>\n",
              "      <td>1189</td>\n",
              "      <td>98.02%</td>\n",
              "      <td>173656</td>\n",
              "      <td>99.86%</td>\n",
              "      <td>0.68%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Brand</th>\n",
              "      <td>5</td>\n",
              "      <td>0.03%</td>\n",
              "      <td>24</td>\n",
              "      <td>1.98%</td>\n",
              "      <td>235</td>\n",
              "      <td>0.14%</td>\n",
              "      <td>10.21%</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "             counts  Count %  Total Clicks  Clicks %  Total Impressions  \\\n",
              "cats                                                                      \n",
              "Non-branded   15668   99.97%          1189    98.02%             173656   \n",
              "Brand             5    0.03%            24     1.98%                235   \n",
              "\n",
              "             Imp %    ctr  \n",
              "cats                       \n",
              "Non-branded 99.86%  0.68%  \n",
              "Brand        0.14% 10.21%  "
            ]
          },
          "execution_count": 65,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# inizio analisi BRAND\n",
        "# Rimuove i duplicati basati sulla colonna 'query'\n",
        "raw_df_unique = raw_df.copy().drop_duplicates(subset=['query'])\n",
        "\n",
        "# Aggiunge una colonna 'Brand/Non-branded' che indica se la query contiene il termine del brand\n",
        "raw_df_unique['Brand/Non-branded'] = np.where(\n",
        "   raw_df_unique['query'].str.contains(query_brand, regex=True, case=False), 'Brand', 'Non-branded'\n",
        ")\n",
        "# Aggiunge una colonna 'Brand/Non-branded' che indica se la query contiene il termine del brand\n",
        "# anche alla lista con i duplicati che servirà per la cannibalizzazione\n",
        "raw_df['Brand/Non-branded'] = np.where(\n",
        "   raw_df['query'].str.contains(query_brand, regex=True, case=False), 'Brand', 'Non-branded'\n",
        ")\n",
        "# Calcola il conteggio dei valori nella colonna 'Brand/Non-branded'\n",
        "brand_count_df = raw_df_unique['Brand/Non-branded'].value_counts().rename_axis('cats').to_frame('counts')\n",
        "# Calcola la percentuale del conteggio rispetto al totale\n",
        "brand_count_df['Count %'] = brand_count_df['counts']/sum(brand_count_df['counts'])\n",
        "pd.options.display.float_format = '{:.2%}'.format\n",
        "# Calcola la somma dei click e delle impressioni per ciascuna categoria\n",
        "clicks_by_category = raw_df_unique.groupby('Brand/Non-branded')['clicks'].sum()\n",
        "# Calcola la somma delle impressioni per ciascuna categoria\n",
        "impressions_by_category = raw_df_unique.groupby('Brand/Non-branded')['impressions'].sum()\n",
        "# Aggiungi le colonne 'Total Clicks' e 'Total Impressions' al dataframe brand_count_df\n",
        "brand_count_df['Total Clicks'] = clicks_by_category\n",
        "brand_count_df['Clicks %'] = brand_count_df['Total Clicks']/sum(brand_count_df['Total Clicks'])\n",
        "brand_count_df['Total Impressions'] = impressions_by_category\n",
        "brand_count_df['Imp %'] = brand_count_df['Total Impressions']/sum(brand_count_df['Total Impressions'])\n",
        "\n",
        "\n",
        "# Calcola il CTR e aggiungi come colonna al dataframe\n",
        "#brand_count_df['ctr'] = (brand_count_df['Total Clicks'] / brand_count_df['Total Impressions']) * 100\n",
        "brand_count_df['ctr'] = (brand_count_df['Total Clicks'] / brand_count_df['Total Impressions'])\n",
        "\n",
        "print(\"Rows: \" + str(brand_count_df.shape[0]))\n",
        "brand_count_df.head(5)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 66,
      "metadata": {},
      "outputs": [],
      "source": [
        "# Scegli uno degli stili stampati e sostituiscilo in plt.style.use()\n",
        "# #print(plt.style.available)\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 67,
      "metadata": {},
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 1000x600 with 2 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "fig, ax1 = plt.subplots(figsize=(10, 6))  # Aumenta la dimensione per una migliore leggibilità\n",
        "\n",
        "# Imposta lo stile del grafico\n",
        "#plt.style.use('seaborn-v0_8-poster')\n",
        "\n",
        "# Crea le posizioni delle barre\n",
        "bar_width = 0.35\n",
        "x_pos_counts = np.arange(len(brand_count_df.index))\n",
        "x_pos_clicks = x_pos_counts + bar_width\n",
        "\n",
        "# Crea l'asse Y1 per il numero di query (counts)\n",
        "ax1.bar(x_pos_counts, brand_count_df['counts'], label='Counts', alpha=0.8, color='#1f77b4', width=bar_width)\n",
        "ax1.set_xlabel('Category', fontsize=12)\n",
        "ax1.set_ylabel('Counts', fontsize=12, color='#1f77b4')\n",
        "ax1.tick_params(axis='y', labelcolor='#1f77b4')\n",
        "ax1.set_xticks(x_pos_counts)\n",
        "ax1.set_xticklabels(brand_count_df.index, fontsize=10)\n",
        "\n",
        "# Crea un secondo asse Y per i click\n",
        "ax2 = ax1.twinx()\n",
        "ax2.bar(x_pos_clicks, brand_count_df['Total Clicks'], label='Total Clicks', alpha=0.8, color='#ff7f0e', width=bar_width)\n",
        "ax2.set_ylabel('Clicks', fontsize=12, color='#ff7f0e')\n",
        "ax2.tick_params(axis='y', labelcolor='#ff7f0e')\n",
        "\n",
        "# Aggiungi le etichette dei valori\n",
        "for i, val in enumerate(brand_count_df['counts']):\n",
        "    ax1.annotate(f'{val:.0f}', (x_pos_counts[i], val), ha='center', va='bottom', fontsize=10)\n",
        "\n",
        "for i, val in enumerate(brand_count_df['Total Clicks']):\n",
        "    ax2.annotate(f'{val:.0f}', (x_pos_clicks[i], val), ha='center', va='bottom', fontsize=10)\n",
        "\n",
        "# Aggiungi la legenda\n",
        "fig.legend(loc='upper center', bbox_to_anchor=(0.5, 1.05), ncol=2, fontsize=10)\n",
        "\n",
        "# Titolo del grafico\n",
        "plt.title('Comparison of Clicks and Counts for Brand and Non-branded Queries', fontsize=14)\n",
        "\n",
        "# Salva il grafico con risoluzione più alta\n",
        "plt.savefig(f'{new_output_dir}/{file_name}_clicks_and_count_brand_not_branded.png', bbox_inches='tight', dpi=300)\n",
        "\n",
        "plt.show()\n",
        "plt.close(fig)\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 68,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "La categoria 'Brand' ha 5 righe.\n"
          ]
        }
      ],
      "source": [
        "# brand pie\n",
        "###############################################################\n",
        "\n",
        "# Metodo 2: Conteggio delle righe per la categoria \"Brand\"\n",
        "brand_row_count = brand_count_df.loc[(brand_count_df.index == 'Brand') & (brand_count_df['counts'] >= 1), 'counts'].sum()\n",
        "\n",
        "if brand_row_count == 0:\n",
        "    print(\"La categoria 'Brand' ha zero righe.\")\n",
        "else:\n",
        "    print(f\"La categoria 'Brand' ha {brand_row_count} righe.\")\n",
        "    def create_pie_chart(data, labels, title, ax):\n",
        "        explode = (0.1, 0)  # esplode la prima fetta\n",
        "        #colors = ['orange', 'purple']  # usa colori personalizzati\n",
        "        colors = ['#ff7f0e','#1f77b4']  # usa colori personalizzati\n",
        "        ax.pie(data, explode=explode, labels=labels, autopct='%1.2f%%', shadow=True, colors=colors, startangle=140)\n",
        "        ax.axis('equal')\n",
        "        ax.set_title(title)\n",
        "\n",
        "        fig, (axa, axb) = plt.subplots(1, 2, figsize=(12, 6))\n",
        "\n",
        "        create_pie_chart(brand_count_df['counts'], brand_count_df.index, 'Counts for Brand and Non-Brand Queries', axa)\n",
        "        create_pie_chart(brand_count_df['Total Clicks'], brand_count_df.index, 'Clicks for Brand and Non-Brand Queries', axb)\n",
        "\n",
        "        # Aggiungi la firma\n",
        "        axa.text(0.05, 0.05, 'by evemilano.com', transform=axa.transAxes, fontsize=10,\n",
        "                verticalalignment='bottom', horizontalalignment='right', color='grey', alpha=0.5)\n",
        "\n",
        "        # Mostra i grafici\n",
        "        plt.tight_layout()\n",
        "        #plt.savefig(f'{output_dir}/GSC_EXT_{property_name}_{now_str}_pie_graph.png')\n",
        "        plt.savefig(f'{new_output_dir}/{file_name}_pie_graph.png')\n",
        "        plt.show()\n",
        "        plt.close(fig)\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 69,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Somma totale dei clicks: 25\n",
            "Somma totale delle impressions: 528\n",
            "Rows: 31\n"
          ]
        }
      ],
      "source": [
        "# creazione database sole query BRAND e NO BRAND\n",
        "#####################################\n",
        "if brand_row_count > 0:\n",
        "    #df_nobrand = raw_df.loc[raw_df['Brand/Non-branded'] == 'Non-branded']\n",
        "    df_nobrand = raw_df.loc[raw_df['Brand/Non-branded'] == 'Non-branded'].copy()\n",
        "    # Compila i valori vuoti\n",
        "    df_nobrand.fillna(0, inplace = True)\n",
        "    # Arrotonda i valori di posizione\n",
        "    #df_nobrand['position'] = df_nobrand['position'].round().astype(int)\n",
        "    df_nobrand.loc[:, 'weighted avg position'] = df_nobrand['weighted avg position'].round().astype(int)\n",
        "    # Crea un dataframe per le query brand\n",
        "    df_brand = raw_df.loc[raw_df['Brand/Non-branded'] == 'Brand']\n",
        "\n",
        "\n",
        "    # Stampa la somma totale dei clicks e delle impressions\n",
        "    total_clicks = df_brand['clicks'].sum()\n",
        "    total_impressions = df_brand['impressions'].sum()\n",
        "\n",
        "    print(\"Somma totale dei clicks:\", total_clicks)\n",
        "    print(\"Somma totale delle impressions:\", total_impressions)\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "    print(\"Rows: \" + str(df_brand.shape[0]))\n",
        "    df_brand.head(12)\n",
        "else: \n",
        "    print(\"La categoria 'Brand' ha zero righe.\")\n",
        "    df_nobrand = raw_df.copy()\n",
        "    df_brand = pd.DataFrame()\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 70,
      "metadata": {},
      "outputs": [],
      "source": [
        "# vecchio metodo per il database delle query brand\n",
        "# somma tutte le impression di query * URL (conta impressione e click anche dei sitelink)\n",
        "# script bloccato da if False:\n",
        "if False:\n",
        "    # crea pivot brand (!)\n",
        "    # Crea una copia del dataframe df_brand\n",
        "    df_brand_pivot = df_brand.copy()\n",
        "    # Elimina la colonna \"page\"\n",
        "    df_brand_pivot.drop(columns=['page'], inplace=True)\n",
        "    # Crea la pivot table\n",
        "\n",
        "\n",
        "    # Creazione della tabella pivot\n",
        "    pivot_b = df_brand_pivot.pivot_table(\n",
        "        index='query', \n",
        "        values=['clicks', 'impressions', 'weighted avg position'], \n",
        "        aggfunc={\n",
        "            'clicks': 'sum',\n",
        "            'impressions': 'sum',\n",
        "            'weighted avg position': lambda x: weighted_mean(x, df_brand_pivot.loc[x.index, 'impressions']),\n",
        "        }\n",
        "    )\n",
        "\n",
        "    # Calcolo del CTR\n",
        "    pivot_b['ctr'] = (pivot_b['clicks'] / pivot_b['impressions']) \n",
        "\n",
        "    # Riordina le colonne\n",
        "    sorted_pivot = pivot_b.reindex(columns=['clicks', 'impressions', 'ctr', 'weighted avg position'])\n",
        "    # Ordina la pivot table per 'impressions' in ordine decrescente\n",
        "    sorted_pivot = sorted_pivot.sort_values(by='impressions', ascending=False)\n",
        "    # Arrotonda i valori nella colonna 'position' e li converte in interi\n",
        "    sorted_pivot['weighted avg position'] = sorted_pivot['weighted avg position'].round().astype(int)\n",
        "    # Mostra le prime righe della pivot table\n",
        "    print(\"Rows: \" + str(sorted_pivot.shape[0]))\n",
        "\n",
        "    sorted_pivot.head(5)\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 104,
      "metadata": {},
      "outputs": [],
      "source": [
        "#df_brand"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 72,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Somma totale dei clicks: 24\n",
            "Somma totale delle impressions: 235\n",
            "Rows: 5\n"
          ]
        }
      ],
      "source": [
        "# pvt brand mantenendo solo la prima query per impression (rimuove i sitelink) come fa google search console\n",
        "\n",
        "if brand_row_count == 0:\n",
        "    print(\"La categoria 'Brand' ha zero righe.\")\n",
        "else:\n",
        "    # Ordina il DataFrame per 'query' e 'impressions' in ordine decrescente\n",
        "    df_brand_sorted = df_brand.sort_values(by=['query', 'impressions'], ascending=[True, False])\n",
        "\n",
        "    # Rimuovi i duplicati, mantenendo solo la prima occorrenza (quella con il massimo di 'impressions')\n",
        "    df_brand_unique = df_brand_sorted.drop_duplicates(subset='query')\n",
        "\n",
        "    # Crea la pivot table\n",
        "    pivot_b = df_brand_unique.pivot_table(\n",
        "        index='query', \n",
        "        values=['clicks', 'impressions', 'weighted avg position'], \n",
        "        aggfunc={\n",
        "            'clicks': 'sum',\n",
        "            'impressions': 'sum',\n",
        "            'weighted avg position': lambda x: weighted_mean(x, df_brand_unique.loc[x.index, 'impressions']),\n",
        "        }\n",
        "    )\n",
        "\n",
        "    # Calcolo del CTR\n",
        "    #pivot_b['ctr'] = (pivot_b['clicks'] / pivot_b['impressions']) * 100\n",
        "    pivot_b['ctr'] = (pivot_b['clicks'] / pivot_b['impressions']) \n",
        "\n",
        "    # Riordina le colonne\n",
        "    sorted_pivot = pivot_b.reindex(columns=['clicks', 'impressions', 'ctr', 'weighted avg position'])\n",
        "\n",
        "\n",
        "    # Ordina la pivot table per 'impressions' in ordine decrescente\n",
        "    sorted_pivot = sorted_pivot.sort_values(by='impressions', ascending=False)\n",
        "\n",
        "    # Arrotonda i valori nella colonna 'weighted avg position' e li converte in interi\n",
        "    sorted_pivot['weighted avg position'] = sorted_pivot['weighted avg position'].round().astype(int)\n",
        "\n",
        "\n",
        "\n",
        "    # Stampa la somma totale dei clicks e delle impressions\n",
        "    total_clicks = sorted_pivot['clicks'].sum()\n",
        "    total_impressions = sorted_pivot['impressions'].sum()\n",
        "\n",
        "    print(\"Somma totale dei clicks:\", total_clicks)\n",
        "    print(\"Somma totale delle impressions:\", total_impressions)\n",
        "\n",
        "\n",
        "    print(\"Rows: \" + str(sorted_pivot.shape[0]))\n",
        "\n",
        "    # Mostra le prime righe della pivot table\n",
        "    # EXPORT PVT BRAND\n",
        "    sorted_pivot.head(5)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 73,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Creazione tabella pivot base URL\n",
            "Somma totale dei clicks: 1221\n",
            "Somma totale delle impressions: 200821\n",
            "Rows: 807\n"
          ]
        },
        {
          "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>clicks</th>\n",
              "      <th>impressions</th>\n",
              "      <th>ctr</th>\n",
              "      <th>weighted avg position</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>page</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>https://www.evemilano.com/web-archive/</th>\n",
              "      <td>34</td>\n",
              "      <td>8643</td>\n",
              "      <td>0.39%</td>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>https://www.evemilano.com/proxy-server/</th>\n",
              "      <td>0</td>\n",
              "      <td>8558</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>https://www.evemilano.com/servizi-web-marketing/</th>\n",
              "      <td>0</td>\n",
              "      <td>5613</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>41</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>https://www.evemilano.com/gdpr/</th>\n",
              "      <td>0</td>\n",
              "      <td>5317</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>12</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>https://www.evemilano.com/come-trovare-indirizzo-ip-sito-web/</th>\n",
              "      <td>67</td>\n",
              "      <td>4995</td>\n",
              "      <td>1.34%</td>\n",
              "      <td>16</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>https://www.evemilano.com/pubblicita-google/consulenza-adwords/</th>\n",
              "      <td>0</td>\n",
              "      <td>4270</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>38</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>https://www.evemilano.com/guide-seo/motori-di-ricerca/</th>\n",
              "      <td>4</td>\n",
              "      <td>3829</td>\n",
              "      <td>0.10%</td>\n",
              "      <td>28</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>https://www.evemilano.com/servizi-seo/posizionamento-siti/</th>\n",
              "      <td>0</td>\n",
              "      <td>3802</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>54</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>https://www.evemilano.com/servizi-seo/</th>\n",
              "      <td>0</td>\n",
              "      <td>3700</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>51</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>https://www.evemilano.com/servizi-seo/agenzia/</th>\n",
              "      <td>0</td>\n",
              "      <td>2848</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>74</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                                    clicks  impressions   ctr  \\\n",
              "page                                                                            \n",
              "https://www.evemilano.com/web-archive/                  34         8643 0.39%   \n",
              "https://www.evemilano.com/proxy-server/                  0         8558 0.00%   \n",
              "https://www.evemilano.com/servizi-web-marketing/         0         5613 0.00%   \n",
              "https://www.evemilano.com/gdpr/                          0         5317 0.00%   \n",
              "https://www.evemilano.com/come-trovare-indirizz...      67         4995 1.34%   \n",
              "https://www.evemilano.com/pubblicita-google/con...       0         4270 0.00%   \n",
              "https://www.evemilano.com/guide-seo/motori-di-r...       4         3829 0.10%   \n",
              "https://www.evemilano.com/servizi-seo/posiziona...       0         3802 0.00%   \n",
              "https://www.evemilano.com/servizi-seo/                   0         3700 0.00%   \n",
              "https://www.evemilano.com/servizi-seo/agenzia/           0         2848 0.00%   \n",
              "\n",
              "                                                    weighted avg position  \n",
              "page                                                                       \n",
              "https://www.evemilano.com/web-archive/                                  8  \n",
              "https://www.evemilano.com/proxy-server/                                10  \n",
              "https://www.evemilano.com/servizi-web-marketing/                       41  \n",
              "https://www.evemilano.com/gdpr/                                        12  \n",
              "https://www.evemilano.com/come-trovare-indirizz...                     16  \n",
              "https://www.evemilano.com/pubblicita-google/con...                     38  \n",
              "https://www.evemilano.com/guide-seo/motori-di-r...                     28  \n",
              "https://www.evemilano.com/servizi-seo/posiziona...                     54  \n",
              "https://www.evemilano.com/servizi-seo/                                 51  \n",
              "https://www.evemilano.com/servizi-seo/agenzia/                         74  "
            ]
          },
          "execution_count": 73,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# Tabella Raw URL con pivot\n",
        "# Crea una tabella pivot con multi-livello di indici\n",
        "print('Creazione tabella pivot base URL')\n",
        "\n",
        "# Crea una tabella pivot con multi-livello di indici\n",
        "final_pivot_tableP = final_data.pivot_table(index=['page'], values=['clicks', 'impressions', 'position'], \n",
        "                                            aggfunc={\n",
        "                                                'clicks': 'sum', \n",
        "                                                'impressions': 'sum', \n",
        "                                                'position': lambda x: weighted_mean(x, final_data.loc[x.index, 'impressions'])\n",
        "                                            })\n",
        "# Calcolo del CTR\n",
        "final_pivot_tableP['ctr'] = (final_pivot_tableP['clicks'] / final_pivot_tableP['impressions']) \n",
        "\n",
        "# Ordina la tabella pivot in base alla somma di impressions\n",
        "final_pivot_tableP.sort_values(by='impressions', axis=0, ascending=False, inplace=True)\n",
        "final_pivot_tableP = final_pivot_tableP.rename(columns={'position': 'weighted avg position'})\n",
        "final_pivot_tableP = final_pivot_tableP.reindex(columns=['clicks', 'impressions', 'ctr', 'weighted avg position'])\n",
        "\n",
        "# Converte i valori di 'weighted avg position' da decimali a interi\n",
        "final_pivot_tableP['weighted avg position'] = final_pivot_tableP['weighted avg position'].astype(int)\n",
        "\n",
        "# Mostra la tabella pivot ordinata\n",
        "# Stampa la somma totale dei clicks e delle impressions\n",
        "total_clicks = final_pivot_tableP['clicks'].sum()\n",
        "total_impressions = final_pivot_tableP['impressions'].sum()\n",
        "\n",
        "print(\"Somma totale dei clicks:\", total_clicks)\n",
        "print(\"Somma totale delle impressions:\", total_impressions)\n",
        "\n",
        "print(\"Rows: \" + str(final_pivot_tableP.shape[0]))\n",
        "final_pivot_tableP.head(10)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 74,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Creazione tabella pivot base QUERY\n",
            "Calcolo del CTR\n",
            "Somma totale dei clicks: 1221\n",
            "Somma totale delle impressions: 200821\n",
            "Rows: 15673\n"
          ]
        },
        {
          "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>clicks</th>\n",
              "      <th>impressions</th>\n",
              "      <th>ctr</th>\n",
              "      <th>weighted avg position</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>query</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>proxy</th>\n",
              "      <td>0</td>\n",
              "      <td>3810</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>web archive</th>\n",
              "      <td>16</td>\n",
              "      <td>3735</td>\n",
              "      <td>0.43%</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>webarchive</th>\n",
              "      <td>8</td>\n",
              "      <td>2479</td>\n",
              "      <td>0.32%</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "             clicks  impressions   ctr  weighted avg position\n",
              "query                                                        \n",
              "proxy             0         3810 0.00%                      9\n",
              "web archive      16         3735 0.43%                      5\n",
              "webarchive        8         2479 0.32%                      4"
            ]
          },
          "execution_count": 74,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# tabella raw query\n",
        "# Crea una tabella pivot con multi-livello di indici\n",
        "print('Creazione tabella pivot base QUERY')\n",
        "\n",
        "# Crea una tabella pivot con multi-livello di indici\n",
        "query_pivot_tableP = final_data.pivot_table(index=['query'], values=['clicks', 'impressions',  'position'], \n",
        "                                            aggfunc={\n",
        "                                                'clicks': 'sum', \n",
        "                                                'impressions': 'sum', \n",
        "                                                'position': lambda x: weighted_mean(x, final_data.loc[x.index, 'impressions'])\n",
        "                                            })\n",
        "\n",
        "# Calcolo del CTR\n",
        "print('Calcolo del CTR')\n",
        "query_pivot_tableP['ctr'] = (query_pivot_tableP['clicks'] / query_pivot_tableP['impressions']) * 100\n",
        "\n",
        "# Applica la formattazione alla colonna CTR\n",
        "query_pivot_tableP['ctr'] = query_pivot_tableP['ctr'].apply(format_ctr)\n",
        "# Converte i valori di 'weighted avg position' da decimali a interi\n",
        "query_pivot_tableP['position'] = query_pivot_tableP['position'].astype(int)\n",
        "\n",
        "# Ordina la tabella pivot in base alla somma di impressions\n",
        "query_pivot_tableP.sort_values(by='impressions', axis=0, ascending=False, inplace=True)\n",
        "query_pivot_tableP = query_pivot_tableP.reindex(columns=['clicks', 'impressions', 'ctr', 'position'])\n",
        "\n",
        "# Rinomina la colonna 'ctr' in 'Weighted Average CTR' e 'position' in 'Weighted Average Position'\n",
        "query_pivot_tableP = query_pivot_tableP.rename(columns={'position': 'weighted avg position'})\n",
        "\n",
        "# Stampa la somma totale dei clicks e delle impressions\n",
        "total_clicks = query_pivot_tableP['clicks'].sum()\n",
        "total_impressions = query_pivot_tableP['impressions'].sum()\n",
        "\n",
        "print(\"Somma totale dei clicks:\", total_clicks)\n",
        "print(\"Somma totale delle impressions:\", total_impressions)\n",
        "\n",
        "# Mostra la tabella pivot ordinata\n",
        "print(\"Rows: \" + str(query_pivot_tableP.shape[0]))\n",
        "query_pivot_tableP.head(3)\n"
      ]
    },
    {
      "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>position</th>\n",
              "      <th>website_avg_ctr_by_pos</th>\n",
              "      <th>query_count</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1</td>\n",
              "      <td>11.26%</td>\n",
              "      <td>781</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2</td>\n",
              "      <td>8.10%</td>\n",
              "      <td>357</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>3</td>\n",
              "      <td>5.17%</td>\n",
              "      <td>420</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>4</td>\n",
              "      <td>0.97%</td>\n",
              "      <td>435</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>5</td>\n",
              "      <td>0.80%</td>\n",
              "      <td>426</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>6</td>\n",
              "      <td>1.21%</td>\n",
              "      <td>455</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>7</td>\n",
              "      <td>0.48%</td>\n",
              "      <td>396</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>8</td>\n",
              "      <td>0.13%</td>\n",
              "      <td>411</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>9</td>\n",
              "      <td>0.22%</td>\n",
              "      <td>404</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>10</td>\n",
              "      <td>0.15%</td>\n",
              "      <td>472</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   position  website_avg_ctr_by_pos  query_count\n",
              "0         1                  11.26%          781\n",
              "1         2                   8.10%          357\n",
              "2         3                   5.17%          420\n",
              "3         4                   0.97%          435\n",
              "4         5                   0.80%          426\n",
              "5         6                   1.21%          455\n",
              "6         7                   0.48%          396\n",
              "7         8                   0.13%          411\n",
              "8         9                   0.22%          404\n",
              "9        10                   0.15%          472"
            ]
          },
          "execution_count": 75,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# CALCOLO TABELLA WEBSITE CTR BY POS per chiavi NOBRAND\n",
        "# Verifica il tipo di dati della colonna 'ctr'\n",
        "if df_nobrand['ctr'].dtype == 'O':  # 'O' sta per 'object', che è tipicamente usato per le stringhe in pandas\n",
        "    # Converti la colonna 'ctr' da percentuale (stringa) a float\n",
        "    df_nobrand['ctr'] = df_nobrand['ctr'].str.rstrip('%').astype('float') / 100\n",
        "\n",
        "# Funzione per calcolare la media ponderata\n",
        "def weighted_mean(values, weights):\n",
        "    return np.sum(values * weights) / np.sum(weights)\n",
        "\n",
        "# Raggruppa per 'Weighted Avg Position' e calcola la media ponderata del CTR\n",
        "query_analysis = df_nobrand.groupby('weighted avg position').apply(\n",
        "    lambda x: weighted_mean(x['ctr'], x['impressions'])\n",
        ").reset_index()\n",
        "\n",
        "# Rinomina le colonne\n",
        "query_analysis = query_analysis.rename(\n",
        "    columns={0: 'website_avg_ctr_by_pos', 'weighted avg position': 'position'}\n",
        ")\n",
        "\n",
        "query_analysis['position'] = np.round(query_analysis['position'].astype(float).astype(int))\n",
        "\n",
        "# Conta le query per ciascuna posizione in df_nobrand\n",
        "query_count = df_nobrand.groupby('weighted avg position').size().reset_index(name='query_count')\n",
        "\n",
        "# Converti 'Weighted Avg Position' in valori interi per il merge\n",
        "query_count['weighted avg position'] = np.round(query_count['weighted avg position'].astype(float) ).astype(int)\n",
        "\n",
        "# Aggiungi la colonna query_count a query_analysis\n",
        "query_analysis = query_analysis.merge(query_count, left_on='position', right_on='weighted avg position', how='left')\n",
        "\n",
        "# Rimuovi la colonna aggiuntiva 'Weighted Avg Position' risultante dal merge\n",
        "query_analysis.drop('weighted avg position', axis=1, inplace=True)\n",
        "\n",
        "# Ordina i risultati per 'position'\n",
        "query_analysis.sort_values(by='position', ascending=True, inplace=True)\n",
        "\n",
        "# Visualizza i risultati\n",
        "query_analysis.head(10)\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 76,
      "metadata": {},
      "outputs": [
        {
          "data": {
            "image/png": 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pe8ZkSv332Ly9vRUUFJToNs20nmu3eXh4aPny5Vq+fLnWrFmj48ePa926dbafYUrPsRdeeEElSpRQo0aNFBwcrOeee05LlixJ1fHey+39JPfcx1KlSunChQu6fv16ovn3O4fuxfj/7eOpyefk5GQb5fm2wMBA+fv7J/m7WLx48STPZy1RooQkJXsbblp4enomeT6jJEVHR9uW3092Pj/atWun6tWrq3v37sqXL5/at2+v7777LtlS8fb5ktwzdwEAyCxczA4AAIC9+fn5KX/+/Nq1a9c919u1a5eCg4NtJd/dvtz9t9hJSEiQxWLR4sWL5ezsnGR9b2/vRO/v9kU8LCxMFStW1KxZs9SpUyfNmjVLbm5uatu27T1zlyxZUpK0e/fue66XWik9/tuSO/YH9cEHH+jtt9/Wc889p/fee0+5cuWSk5OT+vfvn+wX87tlSG3Bczd3/qzLly+fLtu8U2hoqG2wjiZNmsjZ2Vmvv/666tSpo0qVKqXbftJ6rt3m7Oyc6kFFkpM3b17t2LFDS5cu1eLFi7V48WJNnz5dnTp1SnbgDXtI6zmUO3fuNJfmmalICgoK0smTJ5PMP336tCTrVZH3k53PD09PT61Zs0arVq3Sr7/+qiVLlmju3Ll6/PHHtWzZskSfv32+pPaXVwAA2BNXJAIAsqWmTZsqIiJCf/zxR7LL165dq6NHj6pNmza2eTlz5kwyUIqU9Iq9kJAQGYahokWLql69eklejz76aIpzdurUSStXrtTp06c1e/ZsNW7c+L63S5YoUUIPPfSQFixYoKioqPvuo3Dhwjp48GCSIu6vv/6yLZf+vdLmvz+DtF6xKKW+MPnhhx9Up04dTZs2Te3bt1eDBg1Ur169ZP+7pMTtYzt48GCi+bdu3VJERMR9P9+oUSM5Oztr1qxZadp/ar355pvy8fHRW2+9leLP/PfYoqKidPr06SQjkKflXEuplJ5jkuTm5qamTZtq4sSJOnz4sHr16qWZM2cmO9r2bSk9j27v58CBA0mW/fXXX8qTJ49y5MiRom3dT8mSJVN0Dv03X0JCQpL/ZmfPntWVK1eSDNxy6NChJIXm33//LUnJjjCfFuXLl9fff/+d5FbuTZs22ZY/qKx+fjg5Oalu3boaM2aM9u3bp+HDh2vlypVJHnMREREhJycn21WlAABkRhSJAIBsadCgQfLy8lKvXr108eLFRMsuXbqk559/Xr6+vnrxxRdt80NCQnT16tVEVzKePn3adjvoba1atZKzs7OGDh2a5Eu+YRhJ9ncvHTp0kMViUb9+/XTkyJEUj6A7dOhQXbx4Ud27d1dcXFyS5cuWLdMvv/wiSXryySd15swZzZ0717Y8Li5O48ePl7e3t2rVqiXJ+iXb2dlZa9asSbStiRMnpvh4/svLy0tS0nLybpydnZP8TL///vtkr5hKiUqVKikgIECTJ09WbGysbf6MGTNSlKlgwYLq0aOHli1bpvHjxydZnpCQoNGjR+vEiRNpyvdf/v7+6tWrl5YuXZri0XI///xz3bp1y/Z+0qRJiouLU6NGjRKtl9ZzLSVSeo799++Gk5OTypUrJ0nJ3l57W44cOZK9tf2/goKCVL58eX311VeJ/vvu2bNHy5Yt05NPPpmaw7qn8PBwXb58OVXPBL29//+OKjxmzBhJUuPGjRPNP3XqVKJ/fyIjIzVz5kyVL19egYGBaUye2FNPPaX4+HjbaOuS9b/F9OnTVbVqVRUsWPCB95GVz49Lly4lmXe7fP1v5m3btql06dIpej4rAABm4dZmAEC2VLx4cc2cOVMdOnRQ2bJl1a1bNxUtWlRHjx7VtGnTdPnyZc2ZMyfRQBPt27fXa6+9ppYtW6pv3766ceOGJk2apBIlSiQa6CMkJETvv/++Bg8erKNHj6pFixby8fFRRESE5s+fr549e2rQoEEpyhkQEKAnnnhC33//vfz9/ZMUCXfTrl077d69W8OHD9f27dvVoUMHFS5cWBcvXtSSJUu0YsUKzZ49W5L1OXxTpkxRly5dtG3bNhUpUkQ//PCD1q1bp7Fjx9qeKenn56c2bdpo/PjxslgsCgkJ0S+//JLkmY+p4enpqbCwMM2dO1clSpRQrly5VKZMGZUpUybZ9Zs0aaJhw4apa9euqlatmnbv3q1vvvkmRc8zTI6rq6vef/999erVS48//rjatWuniIgITZ8+PcXbHD16tA4fPqy+fftq3rx5atKkiXLmzKljx47p+++/119//aX27dunKV9y+vXrp7Fjx+rDDz/UnDlz7rt+bGys6tatq7Zt2+rAgQOaOHGiatSooWbNmiVaL63nWkqk9Bzr3r27Ll26pMcff1zBwcH6559/NH78eJUvX972vLzkVKxYUXPnztXAgQNVuXJleXt7q2nTpsmuO2rUKDVq1Ejh4eHq1q2bbt68qfHjx8vPz0/vvvtuuh1z48aN5eLiot9++009e/ZM0Wcefvhhde7cWZ9//rmuXLmiWrVqafPmzfrqq6/UokUL1alTJ9H6JUqUULdu3bRlyxbly5dPX375pc6ePavp06ffd19r1qyx/VLg/Pnzun79ut5//31JUs2aNVWzZk1JUtWqVdWmTRsNHjxY586dU/HixfXVV1/Z/q1MD1n5/Bg2bJjWrFmjxo0bq3Dhwjp37pwmTpyo4OBg1ahRw7berVu39Pvvv+uFF15I9T4AALArk0aLBgAgU9i9e7fx9NNPG4GBgYaTk5MhyfDw8DD27t2b7PrLli0zypQpY7i5uRkPPfSQMWvWLGPIkCFGcv+T+uOPPxo1atQwcuTIYeTIkcMoWbKk0adPH+PAgQO2dWrVqmWULl36nhm/++47Q5LRs2fPVB/fihUrjObNmxt58+Y1XFxcjICAAKNp06bGggULEq139uxZo2vXrkaePHkMNzc3o2zZssb06dOTbO/8+fNG69atDS8vLyNnzpxGr169jD179hiSEq3fuXNnI0eOHEk+n9zPav369UbFihUNNzc3Q5IxZMiQux5PdHS08fLLLxtBQUGGp6enUb16dWPDhg1GrVq1jFq1atnWW7VqlSHJ+P777xN9PiIiIklWwzCMiRMnGkWLFjXc3d2NSpUqGWvWrEmyzXuJi4szvvjiC+Oxxx4z/Pz8DFdXV6Nw4cJG165dje3btyf7mT59+iR73tyZc9SoUcku79Kli+Hs7GwcOnTorpmmT59uSDJ+//13o2fPnkbOnDkNb29vo2PHjsbFixeT/UxazrW7/bf+r5ScYz/88IPRoEEDI2/evIabm5tRqFAho1evXsbp06dt69z+b7tq1SrbvKioKOPpp582/P39DUlG4cKFDcO4+3/v3377zahevbrh6elp+Pr6Gk2bNjX27duXaJ3b5+r58+cTzb/9c42IiLjvMTdr1syoW7fuXZePGjUqybZu3bplDB061ChatKjh6upqFCxY0Bg8eLARHR2d6LOFCxc2GjdubCxdutQoV66c4e7ubpQsWTLJOX83t48vudd//w7evHnTGDRokBEYGGi4u7sblStXNpYsWZKi/WT38+P2v8H58+c33NzcjPz58xsdOnQw/v7770SfW7x4sSHJOHjw4H1/VgAAmMliGOn0tHEAALKAmTNnqkuXLnrmmWc0c+ZMs+NIkhYsWKAWLVpozZo1euyxx8yOgyyMcy19rV27VrVr19Zff/2VZPTsB1WkSBGVKVPG9ogCOLYWLVrIYrEkeVQGAACZDbc2AwBwh06dOun06dN6/fXXFRwcrA8++MDsSJo6daqKFSuW6DY4ICNwrqWvxx57TA0aNNDIkSM1depUs+Mgk9q/f79++eWXFD/3FAAAM1EkAgDwH6+99ppee+01s2Nozpw52rVrl3799VeNGzcu1SMcAynFuZZxFi9ebHYEZHKlSpVKdlAsAAAyI25tBgAgk7JYLPL29la7du00efJkubjw+z9kDM41x8OtzQAAwAwUiQAAAAAAAADuy8nsAAAAAAAAAAAyP4pEAAAAAAAAAPfFA3AeQFxcnLZv3658+fLJyYlOFgAAAAAAILtKSEjQ2bNnVaFChSz7zOmseVR2sn37dlWpUsXsGAAAAAAAAMgkNm/erMqVK5sdI0NQJD6AfPnySbKeIEFBQSanAQAAAAAAgFlOnz6tKlWq2PqirIgi8QHcvp05KChIwcHBJqcBAAAAAACA2bLy4++y7pEBAAAAAAAASDcUiQAAAAAAAADuiyIRAAAAAAAAwH3xjMQMZBiG4uLiFB8fb3YUZDLOzs5ycXGRxWIxOwoAAAAAIBuju0g5vstTJGaY2NhYnT59Wjdu3DA7CjIpLy8vBQUFyc3NzewoAAAAAIBsiO4i9bL7d3mKxAyQkJCgiIgIOTs7K3/+/HJzc8vWbTUSMwxDsbGxOn/+vCIiIhQaGpqlR3QCAAAAAGQ+dBepw3d5K4rEDBAbG6uEhAQVLFhQXl5eZsdBJuTp6SlXV1f9888/io2NlYeHh9mRAAAAAADZCN1F6vFdnsFWMlR2bKaRcpwfAAAAAACz8d00dbL7zyt7Hz0AAAAAAACAFKFIBAAAAAAAAHBfDveMxPiEeL27+l3N2j1LZ6LOKL9PfnV5uIveqvmW7aGghmFoyOohmvrnVF2JvqLqBatrUuNJCs0datvOpZuX9NLil7TwwEI5WZzUulRrjWs0Tt5u3hmav9fCXhm6/f+a0nSKXfcHAAAAAACyl/h4ae1a6fRpKShIeuwxydnZ7FTICA53ReJH6z7SpK2T9Fmjz7S/z359VO8jjVw/UuM3j7etM3LdSH266VNNbjxZm7pvUg63HGo4q6Gi46Jt63Sc11F7z+3V8meX65enf9GaY2vUc2FPMw4p0zl+/Liee+4526hNhQsXVr9+/XTx4kWzo93Xjz/+qNq1a8vPz0/e3t4qV66chg0bpkuXLtk1x7vvvqvy5cvbdZ8AAAAAANjbvHlSkSJSnTrS009b/yxSxDo/I505c0YvvfSSihUrJnd3dxUsWFBNmzbVihUrZLFY7vlavXq1ZsyYYXvv5OSkoKAgtWvXTseOHcvY4A7O4YrE9cfXq/lDzdW4RGMV8S+ip8KeUoOQBtp8crMk69WIYzeN1Vs131Lzks1VLl85zWwxU6eundJPf/0kSdp/fr+WHFqiL5p9oarBVVWjUA2NbzRec/bM0alrp0w8OvMdOXJElSpV0sGDB/Xtt9/q0KFDmjx5slasWKHw8PAML+RiY2PT/Nk333xT7dq1U+XKlbV48WLt2bNHo0eP1s6dO/X111+nY0oAAAAAADBvnvTUU9KJE4nnnzxpnZ9RZeLRo0dVsWJFrVy5UqNGjdLu3bu1ZMkS1alTRz169NDp06dtr7Zt2+qJJ55INK9atWqSJF9fX50+fVonT57Ujz/+qAMHDqhNmzYZEzqLcLgisVrBaloRsUJ/X/xbkrTzzE79cewPNSreSJIUcSVCZ6LOqF6xerbP+Hn4qWpwVW04vkGStOHEBvl7+KtS/kq2deoVqycni5M2ndh0133HxMQoMjLS9rp27VpGHKKp+vTpIzc3Ny1btky1atVSoUKF1KhRI/322286efKk3nzzTdu6FotFP/30U6LP+/v7a8aMGbb3x48fV9u2beXv769cuXKpefPmOnr0qG15ly5d1KJFCw0fPlz58+fXQw89pGHDhqlMmTJJspUvX15vv/12srk3b96sDz74QKNHj9aoUaNUrVo1FSlSRPXr19ePP/6ozp0729adNGmSQkJC5ObmpoceeihRyXj06FFZLBbt2LHDNu/KlSu231hI0urVq2WxWLRixQpVqlRJXl5eqlatmg4cOCBJmjFjhoYOHaqdO3fafrtx588EAAAAAIDMyDCk69dT9oqMlPr2tX4mue1IUr9+1vVSsr3ktnM3L7zwgiwWizZv3qzWrVurRIkSKl26tAYOHKg///xTgYGBtpenp6fc3d0TzXNzc5Nk7TUCAwMVFBSkatWqqVu3btq8ebMiIyPT4aeZNTncMxJfr/G6ImMiVfKzknJ2clZ8QryGPz5cHct1lCSdiTojScqXI1+iz+XLkU9nrp+xrZM3R95Ey12cXJTLM5ft88kZMWKEhg4dmp6Hk6lcunRJS5cu1fDhw+Xp6ZloWWBgoDp27Ki5c+dq4sSJtudR3sutW7fUsGFDhYeHa+3atXJxcdH777+vJ554Qrt27bL9xV2xYoV8fX21fPlySZKfn5+GDh2qLVu2qHLlypKk7du3a9euXZp3l19nfPPNN/L29tYLL7yQ7HJ/f39J0vz589WvXz+NHTtW9erV0y+//KKuXbsqODhYderUSdHP6bY333xTo0ePVkBAgJ5//nk999xzWrdundq1a6c9e/ZoyZIl+u2332zHBAAAAABAZnbjhuSdTkNHGIb1SsWUfh2OipJy5Lj/epcuXdKSJUs0fPhw5UjmA7e//6fWuXPnNH/+fDk7O8uZBzzelcMVid/t/U7f7P5Gs1vPVumA0tpxZof6L+2v/D751bl85/tv4AEMHjxYAwcOtL0/efKkwsLCMnSf9nTw4EEZhqFSpUolu7xUqVK6fPmyzp8/r7x58ya7zp3mzp2rhIQEffHFF7bicfr06fL399fq1avVoEEDSVKOHDn0xRdf2IpFSWrYsKGmT59uKxKnT5+uWrVqqVixYnfNXqxYMbm6ut4z08cff6wuXbrYCseBAwdq48aN+vjjj1NdJA4fPly1atWSJL3++utq3LixoqOj5enpKW9vb7m4uCgwMDBV2wQAAAAAAHd36NAhGYahkiVLPvC2rl69Km9vbxmGoRs3bkiS+vbtm2xBCSuHu7X5leWv6PXqr6t9mfYqm6+snn34WQ14dIBG/DFCkhTobS1uzl4/m+hzZ6+fVWCOQNs6566fS7Q8LiFOl25esn0+Oe7u7vL19bW9fHx80vPQMg3jPtcT31n43cvOnTt16NAh+fj4yNvbW97e3sqVK5eio6N1+PBh23ply5ZNss0ePXro22+/VXR0tGJjYzV79mw999xzac582/79+1W9evVE86pXr679+/en6PN3KleunG06KChIkvU3GAAAAAAAOCIvL+uVgSl5LVqUsm0uWpSy7Xl5pWx7Kf3+nxI+Pj7asWOHtm7dqtGjR+uRRx7R8OHD0237WZHDXZF449YNOVkS95/OFmclGAmSpKL+RRXoHagVR1aofGB5SVJkTKQ2ndik3pV6S5LCg8N1JfqKtp3apor5K0qSVkasVIKRoKrBVe13MJlM8eLFZbFYtH//frVs2TLJ8v379ysgIMB2mbDFYknyF/jWrVu26aioKFWsWFHffPNNkm0FBATYppNr+ps2bSp3d3fNnz9fbm5uunXrlp566qm7Zi9RooT++OMP3bp1675XJd6Lk5P13LrzuO48pjvduZ/bV1wmJCSked8AAAAAAJjJYknZ7cWS1KCBFBxsHVgluW7PYrEub9BASs87hUNDQ2WxWPTXX3898LacnJxUvHhxSda7MA8fPqzevXszYOs9ONwViU1LNNXwtcP169+/6uiVo5q/f77GbByjliWtxZfFYlH/qv31/tr39fOBn7X77G51mt9J+X3yq0XJFpKkUgGl9ETxJ9RjYQ9tPrlZ646t04uLXlT7Mu2V3ye/iUdnrty5c6t+/fqaOHGibt68mWjZmTNn9M0336hLly62eQEBATp9+rTt/cGDB22XAkvSI488ooMHDypv3rwqXrx4otf9nhno4uKizp07a/r06Zo+fbrat2+f5LmNd3r66acVFRWliRMnJrv8ypUrkqz/MKxbty7RsnXr1tluUb9dcN55XHcOvJJSbm5uio+PT/XnAAAAAABwBM7O0rhx1un/DqNw+/3YselbIkpSrly51LBhQ02YMEHXr19Psvz29/+0eP311zV37lz9+eefD5Awa3O4InF8o/F6KuwpvbDoBZWaUEqDlg9Sr4q99N7j79nWebX6q3qpykvqubCnKk+trKjYKC15Zok8XDxs63zT6huVzFNSdWfW1ZOzn1SNQjX0edPPzTikTOWzzz5TTEyMGjZsqDVr1uj48eNasmSJ6tevrxIlSuidd96xrfv444/rs88+0/bt27V161Y9//zzia7S69ixo/LkyaPmzZtr7dq1ioiI0OrVq9W3b1+d+O/Y8Mno3r27Vq5cqSVLltzztmZJqlq1ql599VW9/PLLevXVV7Vhwwb9888/WrFihdq0aaOvvvpKkvTKK69oxowZmjRpkg4ePKgxY8Zo3rx5GjRokCTJ09NTjz76qD788EPt379fv//+u956661U/xyLFCmiiIgI7dixQxcuXFBMTEyqtwEAAAAAQGbWqpX0ww9SgQKJ5wcHW+e3apUx+50wYYLi4+NVpUoV/fjjjzp48KD279+vTz/9VOHh4WnebsGCBdWyZctE3QcSc7hbm33cfTT2ibEa+8TYu65jsVg0rM4wDasz7K7r5PLMpdmtZ2dAwnub0nSK3feZGqGhodqyZYveffddtW3bVufOnZNhGGrVqpW+/vpred3x0ILRo0era9eueuyxx5Q/f36NGzdO27Ztsy338vLSmjVr9Nprr6lVq1a6du2aChQooLp168rX1zdFWapVq6ZLly6patX733L+0UcfqWLFipowYYImT56shIQEhYSE6KmnnlLnztaBeFq0aKFx48bp448/Vr9+/VS0aFFNnz5dtWvXtm3nyy+/VLdu3VSxYkU99NBDGjlypG1gmJRq3bq15s2bpzp16ujKlSuaPn16oqs5AQAAAADIClq1kpo3l9aulU6floKCpMceS/8rEe9UrFgx/fnnnxo+fLhefvllnT59WgEBAapYsaImTZr0QNseMGCAwsPDtXnzZlWpUiWdEmcdFiM9n1KZzZw4cUIFCxbU8ePHFRwcbJsfHR2tiIgIFS1aVB4eHvfYgmMYMmSIxowZo+XLl+vRRx+1234Nw1BoaKheeOGFRKNlZxVZ7TwBAAAAADgOvpOmzb1+bnfribISh7siEfY3dOhQFSlSRBs3blSVKlVsA5JkpPPnz2vOnDk6c+aMunbtmuH7AwAAAAAAwL1RJCJF7F3m5c2bV3ny5NHnn3+unDlzJloWH2/fS6YBAAAAAABAkYhM6m533M+bJ/XrJ905VktwsHWkqIx6iCsAAAAAAAAccNRmZF/z5klPPZW4RJSkkyet8+fNMycXAAAAAABAdkCRmIEYxyb9xMdbr0RM7kd6e17//tb1HAXnBwAAAADAbHw3TZ3s/vOiSMwArq6ukqQbN26YnCTrWLs26ZWIdzIM6fhx63qO4vb5cft8AQAAAADAXugu0ia7f5fnGYkZwNnZWf7+/jp37pwkycvLSxaLxeRUju2ff5wkuaVgvVhFRydkfKAHYBiGbty4oXPnzsnf31/OjBQDAAAAALAzuovU4bu8FUViBgkMDJQk219IPCgvSYVTsN5pRUQ4xm9T/P39becJAAAAAAD2RneRetn9uzxFYgaxWCwKCgpS3rx5devWLbPjpNg7q94xO0KyEnJb5J1nsKIu+ElK7jckhnzyXNHu3BO192jmfF7BsDrDbNOurq7Z9rcXAAAAAIDMwVG7C7PwXZ4iMcM5Ozs71El2Ne6q2RHuKrz7HC3/sJckQ8mViY92n6trxhUpzt7JUsbDw8PsCAAAAAAAJOFo3QXMw2ArcBhFq21X/denKEfuy/9ZYi0WXT2jzYgFAAAAAACQLXBFIhxK0WrbVbjqDp3ZF6obl/zkleuqIjaU195f6mrd5+311Kfvydk1k16SCAAAAAAA4MAoEuFwnJwN5S/7t+19nmLHdOSPSrp6MlC7F9RV+aeWmpgOAAAAAAAga+LWZjg8txzRerTrj5KkP+c2VtT5nCYnAgAAAAAAyHooEpElFK+9SYFhBxUX464N09qYHQcAAAAAACDLoUhElmCxSDWeny2LU7wi1lfU8T/DzI4EAAAAAACQpVAkIsvIVeSUyjRdJUlaN6W94m/xCFAAAAAAAID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            "text/plain": [
              "<Figure size 1500x900 with 2 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# gfx test 2 invertito\n",
        "\n",
        "# Assumi che query_analysis sia già definito e caricato\n",
        "\n",
        "# Assicurati che il DataFrame sia ordinato in base alla 'position'\n",
        "query_analysis = query_analysis.sort_values(by='position')\n",
        "\n",
        "# Seleziona solo le prime 10 posizioni\n",
        "top_10_query_analysis = query_analysis.head(10)\n",
        "\n",
        "# Imposta le dimensioni del grafico\n",
        "plt.figure(figsize=(15, 9))\n",
        "\n",
        "# Crea l'asse per il conteggio delle query\n",
        "ax1 = plt.gca()  # Get current axis\n",
        "ax1.bar(top_10_query_analysis['position'], top_10_query_analysis['query_count'], color='g', alpha=0.6, label='Query Count')\n",
        "ax1.set_xlabel('Position')\n",
        "ax1.set_ylabel('Query Count', color='g')\n",
        "ax1.tick_params(axis='y', labelcolor='g')\n",
        "\n",
        "# Crea un secondo asse per il CTR\n",
        "ax2 = ax1.twinx()  # Crea un secondo asse che condivide lo stesso asse x\n",
        "ax2.plot(top_10_query_analysis['position'], top_10_query_analysis['website_avg_ctr_by_pos'] * 100, color='b', marker='o', label='CTR')\n",
        "ax2.set_ylabel('CTR (%)', color='b')\n",
        "ax2.tick_params(axis='y', labelcolor='b')\n",
        "\n",
        "# Aggiungi titoli e legenda\n",
        "plt.title('Query Count and CTR by Position (Top 10 Positions)')\n",
        "ax1.legend(loc='upper left')\n",
        "ax2.legend(loc='upper right')\n",
        "\n",
        "# Aggiungi la firma\n",
        "ax1.text(0.05, 0.005, 'by evemilano.com', transform=ax1.transAxes, fontsize=10,\n",
        "        verticalalignment='bottom', horizontalalignment='right', color='grey', alpha=0.5)\n",
        "\n",
        "# Salva l'immagine\n",
        "file_name = 'output_file_name'  # Sostituisci con il nome del file di output desiderato\n",
        "plt.savefig(f'{new_output_dir}/{file_name}_query_count_and_ctr_by_position.png', bbox_inches='tight')\n",
        "# Mostra il grafico\n",
        "plt.show()\n",
        "# Chiudi la figura per liberare memoria\n",
        "plt.close()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 77,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Missing positions in mapping: []\n",
            "Somma totale dei clicks: 1221\n",
            "Somma totale delle impressions: 200821\n"
          ]
        },
        {
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
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              "\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>page</th>\n",
              "      <th>clicks</th>\n",
              "      <th>impressions</th>\n",
              "      <th>ctr</th>\n",
              "      <th>weighted avg position</th>\n",
              "      <th>website_avg_ctr_by_pos</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>https://www.evemilano.com/web-archive/</td>\n",
              "      <td>34</td>\n",
              "      <td>8643</td>\n",
              "      <td>0.39%</td>\n",
              "      <td>8</td>\n",
              "      <td>0.13%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>https://www.evemilano.com/proxy-server/</td>\n",
              "      <td>0</td>\n",
              "      <td>8558</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>10</td>\n",
              "      <td>0.15%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>https://www.evemilano.com/servizi-web-marketing/</td>\n",
              "      <td>0</td>\n",
              "      <td>5613</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>41</td>\n",
              "      <td>2.50%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>https://www.evemilano.com/gdpr/</td>\n",
              "      <td>0</td>\n",
              "      <td>5317</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>12</td>\n",
              "      <td>0.13%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>https://www.evemilano.com/come-trovare-indiriz...</td>\n",
              "      <td>67</td>\n",
              "      <td>4995</td>\n",
              "      <td>1.34%</td>\n",
              "      <td>16</td>\n",
              "      <td>0.15%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>https://www.evemilano.com/pubblicita-google/co...</td>\n",
              "      <td>0</td>\n",
              "      <td>4270</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>38</td>\n",
              "      <td>0.00%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>https://www.evemilano.com/guide-seo/motori-di-...</td>\n",
              "      <td>4</td>\n",
              "      <td>3829</td>\n",
              "      <td>0.10%</td>\n",
              "      <td>28</td>\n",
              "      <td>0.24%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>https://www.evemilano.com/servizi-seo/posizion...</td>\n",
              "      <td>0</td>\n",
              "      <td>3802</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>54</td>\n",
              "      <td>0.00%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>https://www.evemilano.com/servizi-seo/</td>\n",
              "      <td>0</td>\n",
              "      <td>3700</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>51</td>\n",
              "      <td>0.00%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>https://www.evemilano.com/servizi-seo/agenzia/</td>\n",
              "      <td>0</td>\n",
              "      <td>2848</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>74</td>\n",
              "      <td>0.00%</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                                page  clicks  impressions  \\\n",
              "0             https://www.evemilano.com/web-archive/      34         8643   \n",
              "1            https://www.evemilano.com/proxy-server/       0         8558   \n",
              "2   https://www.evemilano.com/servizi-web-marketing/       0         5613   \n",
              "3                    https://www.evemilano.com/gdpr/       0         5317   \n",
              "4  https://www.evemilano.com/come-trovare-indiriz...      67         4995   \n",
              "5  https://www.evemilano.com/pubblicita-google/co...       0         4270   \n",
              "6  https://www.evemilano.com/guide-seo/motori-di-...       4         3829   \n",
              "7  https://www.evemilano.com/servizi-seo/posizion...       0         3802   \n",
              "8             https://www.evemilano.com/servizi-seo/       0         3700   \n",
              "9     https://www.evemilano.com/servizi-seo/agenzia/       0         2848   \n",
              "\n",
              "    ctr  weighted avg position  website_avg_ctr_by_pos  \n",
              "0 0.39%                      8                   0.13%  \n",
              "1 0.00%                     10                   0.15%  \n",
              "2 0.00%                     41                   2.50%  \n",
              "3 0.00%                     12                   0.13%  \n",
              "4 1.34%                     16                   0.15%  \n",
              "5 0.00%                     38                   0.00%  \n",
              "6 0.10%                     28                   0.24%  \n",
              "7 0.00%                     54                   0.00%  \n",
              "8 0.00%                     51                   0.00%  \n",
              "9 0.00%                     74                   0.00%  "
            ]
          },
          "execution_count": 77,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# file raw scaricabile con posizione media del sito web\n",
        "raw_dfP = final_pivot_tableP.copy()\n",
        "raw_dfP = raw_dfP.reset_index()\n",
        "# Assicurati che la colonna 'position' in query_analysis sia dello stesso tipo di 'weighted avg position' in raw_dfP\n",
        "query_analysis['position'] = query_analysis['position'].astype(int)\n",
        "\n",
        "# Crea un dizionario per il mapping\n",
        "ctr_mapping = dict(zip(query_analysis['position'], query_analysis['website_avg_ctr_by_pos']))\n",
        "\n",
        "# Applica il mapping\n",
        "raw_dfP['website_avg_ctr_by_pos'] = raw_dfP['weighted avg position'].map(ctr_mapping)\n",
        "\n",
        "# Verifica se ci sono valori mancanti (NaN) e il motivo\n",
        "missing_positions = raw_dfP[raw_dfP['website_avg_ctr_by_pos'].isna()]['weighted avg position'].unique()\n",
        "print(\"Missing positions in mapping:\", missing_positions)\n",
        "\n",
        "# Stampa la somma totale dei clicks e delle impressions\n",
        "total_clicks = raw_dfP['clicks'].sum()\n",
        "total_impressions = raw_dfP['impressions'].sum()\n",
        "print(\"Somma totale dei clicks:\", total_clicks)\n",
        "print(\"Somma totale delle impressions:\", total_impressions)\n",
        "# Visualizza il risultato\n",
        "raw_dfP.head(10)\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 78,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Rows: 807\n",
            "Somma totale dei clicks: 1221\n",
            "Somma totale delle impressions: 200821\n"
          ]
        },
        {
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "    }\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>page</th>\n",
              "      <th>clicks</th>\n",
              "      <th>impressions</th>\n",
              "      <th>ctr</th>\n",
              "      <th>website_avg_ctr_by_pos</th>\n",
              "      <th>comparison</th>\n",
              "      <th>weighted avg position</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>https://www.evemilano.com/web-archive/</td>\n",
              "      <td>34</td>\n",
              "      <td>8643</td>\n",
              "      <td>0.39%</td>\n",
              "      <td>0.13%</td>\n",
              "      <td>greater</td>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>https://www.evemilano.com/proxy-server/</td>\n",
              "      <td>0</td>\n",
              "      <td>8558</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>0.15%</td>\n",
              "      <td>lower</td>\n",
              "      <td>10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>https://www.evemilano.com/servizi-web-marketing/</td>\n",
              "      <td>0</td>\n",
              "      <td>5613</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>2.50%</td>\n",
              "      <td>lower</td>\n",
              "      <td>41</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                               page  clicks  impressions  \\\n",
              "0            https://www.evemilano.com/web-archive/      34         8643   \n",
              "1           https://www.evemilano.com/proxy-server/       0         8558   \n",
              "2  https://www.evemilano.com/servizi-web-marketing/       0         5613   \n",
              "\n",
              "    ctr  website_avg_ctr_by_pos comparison  weighted avg position  \n",
              "0 0.39%                   0.13%    greater                      8  \n",
              "1 0.00%                   0.15%      lower                     10  \n",
              "2 0.00%                   2.50%      lower                     41  "
            ]
          },
          "execution_count": 78,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# Funzione per confrontare i CTR\n",
        "def compare_ctr(row):\n",
        "    if row['ctr'] > row['website_avg_ctr_by_pos']:\n",
        "        return 'greater'\n",
        "    elif row['ctr'] < row['website_avg_ctr_by_pos']:\n",
        "        return 'lower'\n",
        "    else:\n",
        "        return 'equal'\n",
        "\n",
        "# Applica la funzione a ciascuna riga per creare la colonna 'comparison'\n",
        "raw_dfP['comparison'] = raw_dfP.apply(compare_ctr, axis=1)\n",
        "\n",
        "print(\"Rows: \" + str(raw_dfP.shape[0]))\n",
        "# Specifica il nuovo ordine delle colonne\n",
        "new_columns_order = ['page', 'clicks', 'impressions', 'ctr', 'website_avg_ctr_by_pos', 'comparison', 'weighted avg position']\n",
        "\n",
        "# Stampa la somma totale dei clicks e delle impressions\n",
        "total_clicks = raw_dfP['clicks'].sum()\n",
        "total_impressions = raw_dfP['impressions'].sum()\n",
        "\n",
        "print(\"Somma totale dei clicks:\", total_clicks)\n",
        "print(\"Somma totale delle impressions:\", total_impressions)\n",
        "\n",
        "# Riordina le colonne in raw_dfP\n",
        "raw_dfP = raw_dfP.reindex(columns=new_columns_order)\n",
        "\n",
        "raw_dfP.head(3)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 79,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Creazione tabella pivot con le cartelle di primo livello\n",
            "Somma totale dei clicks: 701\n",
            "Somma totale delle impressions: 123567\n"
          ]
        },
        {
          "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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              "        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>clicks</th>\n",
              "      <th>impressions</th>\n",
              "      <th>url_count</th>\n",
              "      <th>ctr</th>\n",
              "      <th>click/URL</th>\n",
              "      <th>imp/URL</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>first_level_folder</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>come-funzionano-le-espressioni-regolari-regex</th>\n",
              "      <td>33</td>\n",
              "      <td>2362</td>\n",
              "      <td>13</td>\n",
              "      <td>1.40%</td>\n",
              "      <td>253.85%</td>\n",
              "      <td>18169.23%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>servizi-seo</th>\n",
              "      <td>2</td>\n",
              "      <td>17058</td>\n",
              "      <td>13</td>\n",
              "      <td>0.01%</td>\n",
              "      <td>15.38%</td>\n",
              "      <td>131215.38%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>pagerank</th>\n",
              "      <td>0</td>\n",
              "      <td>897</td>\n",
              "      <td>11</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>8154.55%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>corsi</th>\n",
              "      <td>1</td>\n",
              "      <td>4850</td>\n",
              "      <td>11</td>\n",
              "      <td>0.02%</td>\n",
              "      <td>9.09%</td>\n",
              "      <td>44090.91%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>redirect</th>\n",
              "      <td>9</td>\n",
              "      <td>2678</td>\n",
              "      <td>11</td>\n",
              "      <td>0.34%</td>\n",
              "      <td>81.82%</td>\n",
              "      <td>24345.45%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>esempi-mod-rewrite-htaccess-apache</th>\n",
              "      <td>7</td>\n",
              "      <td>477</td>\n",
              "      <td>3</td>\n",
              "      <td>1.47%</td>\n",
              "      <td>233.33%</td>\n",
              "      <td>15900.00%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>disavow-tool</th>\n",
              "      <td>0</td>\n",
              "      <td>183</td>\n",
              "      <td>3</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>6100.00%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>infinite-scroll</th>\n",
              "      <td>1</td>\n",
              "      <td>82</td>\n",
              "      <td>3</td>\n",
              "      <td>1.22%</td>\n",
              "      <td>33.33%</td>\n",
              "      <td>2733.33%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>servizi-web-marketing</th>\n",
              "      <td>0</td>\n",
              "      <td>6242</td>\n",
              "      <td>2</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>312100.00%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>blog-aziendali-wordpress</th>\n",
              "      <td>0</td>\n",
              "      <td>1180</td>\n",
              "      <td>2</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>59000.00%</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>92 rows × 6 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                                               clicks  impressions  url_count  \\\n",
              "first_level_folder                                                              \n",
              "come-funzionano-le-espressioni-regolari-regex      33         2362         13   \n",
              "servizi-seo                                         2        17058         13   \n",
              "pagerank                                            0          897         11   \n",
              "corsi                                               1         4850         11   \n",
              "redirect                                            9         2678         11   \n",
              "...                                               ...          ...        ...   \n",
              "esempi-mod-rewrite-htaccess-apache                  7          477          3   \n",
              "disavow-tool                                        0          183          3   \n",
              "infinite-scroll                                     1           82          3   \n",
              "servizi-web-marketing                               0         6242          2   \n",
              "blog-aziendali-wordpress                            0         1180          2   \n",
              "\n",
              "                                                ctr  click/URL    imp/URL  \n",
              "first_level_folder                                                         \n",
              "come-funzionano-le-espressioni-regolari-regex 1.40%    253.85%  18169.23%  \n",
              "servizi-seo                                   0.01%     15.38% 131215.38%  \n",
              "pagerank                                      0.00%      0.00%   8154.55%  \n",
              "corsi                                         0.02%      9.09%  44090.91%  \n",
              "redirect                                      0.34%     81.82%  24345.45%  \n",
              "...                                             ...        ...        ...  \n",
              "esempi-mod-rewrite-htaccess-apache            1.47%    233.33%  15900.00%  \n",
              "disavow-tool                                  0.00%      0.00%   6100.00%  \n",
              "infinite-scroll                               1.22%     33.33%   2733.33%  \n",
              "servizi-web-marketing                         0.00%      0.00% 312100.00%  \n",
              "blog-aziendali-wordpress                      0.00%      0.00%  59000.00%  \n",
              "\n",
              "[92 rows x 6 columns]"
            ]
          },
          "execution_count": 79,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# Tabella pivot con le cartelle di primo livello\n",
        "print('Creazione tabella pivot con le cartelle di primo livello')\n",
        "# Definisci una funzione lambda per estrarre la cartella di primo livello dall'URL\n",
        "get_first_level_folder = lambda url: url.split('/')[3]\n",
        "\n",
        "# Crea una nuova colonna nel dataframe con la cartella di primo livello per ogni URL\n",
        "raw_dfP['first_level_folder'] = raw_dfP['page'].apply(get_first_level_folder)\n",
        "\n",
        "# Raggruppa il dataframe in base alla cartella di primo livello e calcola le somme di 'clicks' e 'impressions' e il conteggio degli URL\n",
        "trending_folders = raw_dfP.groupby('first_level_folder').agg({'clicks': 'sum', 'impressions': 'sum', 'page': 'count'})\n",
        "\n",
        "# Rinomina la colonna 'page' in 'count'\n",
        "trending_folders.rename(columns={'page': 'url_count'}, inplace=True)\n",
        "\n",
        "# Calcola CTR medio\n",
        "trending_folders['ctr'] = trending_folders['clicks'] / trending_folders['impressions']\n",
        "\n",
        "# Utilizza .loc per creare nuove colonne\n",
        "trending_folders.loc[:, 'click/URL'] = trending_folders['clicks'] / trending_folders['url_count']\n",
        "trending_folders.loc[:, 'imp/URL'] = trending_folders['impressions'] / trending_folders['url_count']\n",
        "\n",
        "# Ordina il dataframe risultante in base alle impressions\n",
        "trending_folders.sort_values('url_count', ascending=False, inplace=True)\n",
        "\n",
        "# cancella righe se non hanno almeno 2 URL in cartella\n",
        "trending_folders = trending_folders[trending_folders['url_count'] >= 2]\n",
        "\n",
        "# Stampa la somma totale dei clicks e delle impressions\n",
        "total_clicks = trending_folders['clicks'].sum()\n",
        "total_impressions = trending_folders['impressions'].sum()\n",
        "\n",
        "print(\"Somma totale dei clicks:\", total_clicks)\n",
        "print(\"Somma totale delle impressions:\", total_impressions)\n",
        "\n",
        "trending_folders"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 80,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 352
        },
        "id": "UJQJjtJ9fna5",
        "outputId": "be6f847f-5b2d-43fa-e869-d37f5b2d4b18"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Somma totale dei clicks: 218\n",
            "Somma totale delle impressions: 63702\n",
            "211\n"
          ]
        },
        {
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>query</th>\n",
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              "      <th>impressions</th>\n",
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              "      <th>spacy_nouns</th>\n",
              "      <th>Brand/Non-branded</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
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              "      <td>Non-branded</td>\n",
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              "      <th>1</th>\n",
              "      <td>web archive</td>\n",
              "      <td>https://www.evemilano.com/web-archive/</td>\n",
              "      <td>16</td>\n",
              "      <td>3735</td>\n",
              "      <td>0.43%</td>\n",
              "      <td>4</td>\n",
              "      <td>11</td>\n",
              "      <td>web archiv</td>\n",
              "      <td>web archiv</td>\n",
              "      <td>web</td>\n",
              "      <td>web archive</td>\n",
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              "      <td>0.32%</td>\n",
              "      <td>4</td>\n",
              "      <td>10</td>\n",
              "      <td>webarc</td>\n",
              "      <td>webarc</td>\n",
              "      <td>webarc</td>\n",
              "      <td>Webarchive</td>\n",
              "      <td>Webarchive</td>\n",
              "      <td>Webarchive</td>\n",
              "      <td>webarchive</td>\n",
              "      <td>Non-branded</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "         query                                     page  clicks  impressions  \\\n",
              "0        proxy  https://www.evemilano.com/proxy-server/       0         3810   \n",
              "1  web archive   https://www.evemilano.com/web-archive/      16         3735   \n",
              "2   webarchive   https://www.evemilano.com/web-archive/       8         2479   \n",
              "\n",
              "    ctr  position  Char    Stemming Stems Ordered by frequency  \\\n",
              "0 0.00%         8     5       proxy                      proxy   \n",
              "1 0.43%         4    11  web archiv                 web archiv   \n",
              "2 0.32%         4    10      webarc                     webarc   \n",
              "\n",
              "  Strongest word stem   Lemmatized Lemmas Ordered by frequency  \\\n",
              "0               proxy        proxy                       proxy   \n",
              "1                 web  web archive                 web archive   \n",
              "2              webarc   Webarchive                  Webarchive   \n",
              "\n",
              "  Strongest lemma spacy_nouns Brand/Non-branded  \n",
              "0           proxy       proxy       Non-branded  \n",
              "1             web         web       Non-branded  \n",
              "2      Webarchive  webarchive       Non-branded  "
            ]
          },
          "execution_count": 80,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# Applico filtri al dataframe nobrand\n",
        "##########################################\n",
        "# rimuovo le query deboli\n",
        "\n",
        "# formattazione position\n",
        "\n",
        "# opzioni impostate a inizio script position e impressions\n",
        "#df_new = df_nobrand.loc[(raw_df['Weighted Avg Position'] <= max_pos) & (raw_df['impressions'] >= min_imp),:]\n",
        "df_new = df_nobrand.loc[(raw_df['weighted avg position'] <= max_pos) & (raw_df['impressions'] >= min_imp),:].copy()\n",
        "\n",
        "\n",
        "# Rimuovi il simbolo di percentuale e converti in float, poi in int\n",
        "df_new['weighted avg position'] = df_new['weighted avg position'].astype(int)\n",
        "\n",
        "# rinomina colonna position\n",
        "df_new = df_new.rename(columns={'weighted avg position': 'position'})\n",
        "\n",
        "# ordino i dati per impressioni e click\n",
        "df_new = df_new.sort_values(by=['impressions', 'clicks'],ascending=False)\n",
        "\n",
        "if 'match_queries' in df_new.columns:\n",
        "    df_new = df_new.drop(columns=['match_queries'])\n",
        "\n",
        "# Stampa la somma totale dei clicks e delle impressions\n",
        "total_clicks = df_new['clicks'].sum()\n",
        "total_impressions = df_new['impressions'].sum()\n",
        "\n",
        "print(\"Somma totale dei clicks:\", total_clicks)\n",
        "print(\"Somma totale delle impressions:\", total_impressions)\n",
        "\n",
        "print(df_new.shape[0])\n",
        "df_new.head(3)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 127,
      "metadata": {},
      "outputs": [
        {
          "data": {
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              "</style>\n",
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>query</th>\n",
              "      <th>page</th>\n",
              "      <th>clicks</th>\n",
              "      <th>impressions</th>\n",
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              "      <th>Strongest lemma</th>\n",
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              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
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              "      <td>proxy</td>\n",
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              "      <td>lower</td>\n",
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              "      <td>web archive</td>\n",
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              "      <td>3735</td>\n",
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              "      <td>11</td>\n",
              "      <td>web archiv</td>\n",
              "      <td>web archiv</td>\n",
              "      <td>web</td>\n",
              "      <td>web archive</td>\n",
              "      <td>web archive</td>\n",
              "      <td>web</td>\n",
              "      <td>web</td>\n",
              "      <td>Non-branded</td>\n",
              "      <td>0.97%</td>\n",
              "      <td>lower</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>webarchive</td>\n",
              "      <td>https://www.evemilano.com/web-archive/</td>\n",
              "      <td>8</td>\n",
              "      <td>2479</td>\n",
              "      <td>0.32%</td>\n",
              "      <td>4</td>\n",
              "      <td>10</td>\n",
              "      <td>webarc</td>\n",
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              "      <td>webarc</td>\n",
              "      <td>Webarchive</td>\n",
              "      <td>Webarchive</td>\n",
              "      <td>Webarchive</td>\n",
              "      <td>webarchive</td>\n",
              "      <td>Non-branded</td>\n",
              "      <td>0.97%</td>\n",
              "      <td>lower</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>gdpr significato</td>\n",
              "      <td>https://www.evemilano.com/gdpr/</td>\n",
              "      <td>0</td>\n",
              "      <td>2420</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>8</td>\n",
              "      <td>16</td>\n",
              "      <td>gdpr signific</td>\n",
              "      <td>signific gdpr</td>\n",
              "      <td>signific</td>\n",
              "      <td>gdpr significato</td>\n",
              "      <td>significato gdpr</td>\n",
              "      <td>significato</td>\n",
              "      <td>gdpr</td>\n",
              "      <td>Non-branded</td>\n",
              "      <td>0.13%</td>\n",
              "      <td>lower</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>l'indirizzo completo di un sito</td>\n",
              "      <td>https://www.evemilano.com/come-trovare-indiriz...</td>\n",
              "      <td>0</td>\n",
              "      <td>1681</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>9</td>\n",
              "      <td>31</td>\n",
              "      <td>l'indirizz complet sit</td>\n",
              "      <td>sit l'indirizz complet</td>\n",
              "      <td>sit</td>\n",
              "      <td>indirizzo completo sito</td>\n",
              "      <td>sito indirizzo completo</td>\n",
              "      <td>sito</td>\n",
              "      <td>indirizzo sito</td>\n",
              "      <td>Non-branded</td>\n",
              "      <td>0.22%</td>\n",
              "      <td>lower</td>\n",
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            ],
            "text/plain": [
              "                             query  \\\n",
              "0                            proxy   \n",
              "1                      web archive   \n",
              "2                       webarchive   \n",
              "3                 gdpr significato   \n",
              "4  l'indirizzo completo di un sito   \n",
              "\n",
              "                                                page  clicks  impressions  \\\n",
              "0            https://www.evemilano.com/proxy-server/       0         3810   \n",
              "1             https://www.evemilano.com/web-archive/      16         3735   \n",
              "2             https://www.evemilano.com/web-archive/       8         2479   \n",
              "3                    https://www.evemilano.com/gdpr/       0         2420   \n",
              "4  https://www.evemilano.com/come-trovare-indiriz...       0         1681   \n",
              "\n",
              "    ctr  position  Char                Stemming Stems Ordered by frequency  \\\n",
              "0 0.00%         8     5                   proxy                      proxy   \n",
              "1 0.43%         4    11              web archiv                 web archiv   \n",
              "2 0.32%         4    10                  webarc                     webarc   \n",
              "3 0.00%         8    16           gdpr signific              signific gdpr   \n",
              "4 0.00%         9    31  l'indirizz complet sit     sit l'indirizz complet   \n",
              "\n",
              "  Strongest word stem               Lemmatized Lemmas Ordered by frequency  \\\n",
              "0               proxy                    proxy                       proxy   \n",
              "1                 web              web archive                 web archive   \n",
              "2              webarc               Webarchive                  Webarchive   \n",
              "3            signific         gdpr significato            significato gdpr   \n",
              "4                 sit  indirizzo completo sito     sito indirizzo completo   \n",
              "\n",
              "  Strongest lemma     spacy_nouns Brand/Non-branded  website_avg_ctr_by_pos  \\\n",
              "0           proxy           proxy       Non-branded                   0.13%   \n",
              "1             web             web       Non-branded                   0.97%   \n",
              "2      Webarchive      webarchive       Non-branded                   0.97%   \n",
              "3     significato            gdpr       Non-branded                   0.13%   \n",
              "4            sito  indirizzo sito       Non-branded                   0.22%   \n",
              "\n",
              "  comparison  \n",
              "0      lower  \n",
              "1      lower  \n",
              "2      lower  \n",
              "3      lower  \n",
              "4      lower  "
            ]
          },
          "execution_count": 127,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# implementa colonna avg_ctr_by_pos e comparison\n",
        "##################################################\n",
        "\n",
        "# Assicurati che 'position' in df_new e 'position' in query_analysis siano dello stesso tipo di dati\n",
        "df_new['position'] = df_new['position'].astype(int)\n",
        "query_analysis['position'] = query_analysis['position'].astype(int)\n",
        "\n",
        "# Crea un dizionario per il mapping da query_analysis\n",
        "ctr_mapping = dict(zip(query_analysis['position'], query_analysis['website_avg_ctr_by_pos']))\n",
        "\n",
        "merged_df=df_new.copy()\n",
        "# Applica il mapping per ottenere 'wwebsite_avg_ctr_by_pos' in df_new\n",
        "merged_df['website_avg_ctr_by_pos'] = merged_df['position'].map(ctr_mapping)\n",
        "\n",
        "# Applica la funzione a ciascuna riga per creare la colonna 'comparison'\n",
        "merged_df['comparison'] = merged_df.apply(compare_ctr, axis=1)\n",
        "\n",
        "# Visualizza il DataFrame aggiornato\n",
        "merged_df.head()\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 128,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "_6PXLAbBAWJM",
        "outputId": "8101284e-b1be-4353-c60b-eb46c5fbf111"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "211\n"
          ]
        },
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              "      <td>4</td>\n",
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              "      <td>web archiv</td>\n",
              "      <td>web</td>\n",
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              "      <td>web</td>\n",
              "      <td>web</td>\n",
              "      <td>Non-branded</td>\n",
              "      <td>0.97%</td>\n",
              "      <td>lower</td>\n",
              "      <td>web-archive</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>webarchive</td>\n",
              "      <td>https://www.evemilano.com/web-archive/</td>\n",
              "      <td>8</td>\n",
              "      <td>2479</td>\n",
              "      <td>0.32%</td>\n",
              "      <td>4</td>\n",
              "      <td>10</td>\n",
              "      <td>webarc</td>\n",
              "      <td>webarc</td>\n",
              "      <td>webarc</td>\n",
              "      <td>...</td>\n",
              "      <td>Webarchive</td>\n",
              "      <td>Webarchive</td>\n",
              "      <td>webarchive</td>\n",
              "      <td>Non-branded</td>\n",
              "      <td>0.97%</td>\n",
              "      <td>lower</td>\n",
              "      <td>web-archive</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>3 rows × 21 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "         query                                     page  clicks  impressions  \\\n",
              "0        proxy  https://www.evemilano.com/proxy-server/       0         3810   \n",
              "1  web archive   https://www.evemilano.com/web-archive/      16         3735   \n",
              "2   webarchive   https://www.evemilano.com/web-archive/       8         2479   \n",
              "\n",
              "    ctr  position  Char    Stemming Stems Ordered by frequency  \\\n",
              "0 0.00%         8     5       proxy                      proxy   \n",
              "1 0.43%         4    11  web archiv                 web archiv   \n",
              "2 0.32%         4    10      webarc                     webarc   \n",
              "\n",
              "  Strongest word stem  ... Lemmas Ordered by frequency Strongest lemma  \\\n",
              "0               proxy  ...                       proxy           proxy   \n",
              "1                 web  ...                 web archive             web   \n",
              "2              webarc  ...                  Webarchive      Webarchive   \n",
              "\n",
              "  spacy_nouns Brand/Non-branded website_avg_ctr_by_pos  comparison  \\\n",
              "0       proxy       Non-branded                  0.13%       lower   \n",
              "1         web       Non-branded                  0.97%       lower   \n",
              "2  webarchive       Non-branded                  0.97%       lower   \n",
              "\n",
              "     folder_lv1 folder_lv2 folder_lv3 folder_lv4  \n",
              "0  proxy-server                                   \n",
              "1   web-archive                                   \n",
              "2   web-archive                                   \n",
              "\n",
              "[3 rows x 21 columns]"
            ]
          },
          "execution_count": 128,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# crea 3 colonne con split URL path\n",
        "###################################\n",
        "# crea copia db\n",
        "merged_df4 = merged_df.copy()\n",
        "# funzione per splittare url ad ogni /\n",
        "def extract_folders(url):\n",
        "    try:\n",
        "        # Utilizziamo un'espressione regolare per estrarre le cartelle logiche dall'URL\n",
        "        match = re.match(r'https?://[^/]+(/.*)', url)\n",
        "        if match:\n",
        "            path = match.group(1)\n",
        "            folders = path.split('/')\n",
        "            # Se l'URL ha meno di 3 cartelle, aggiungiamo le cartelle mancanti\n",
        "            while len(folders) < 3:\n",
        "                folders.append('')\n",
        "            # Restituiamo la lista di cartelle\n",
        "            return folders\n",
        "        else:\n",
        "            # L'URL non ha un percorso valido, restituisci una lista vuota\n",
        "            return [''] * 3\n",
        "    except:\n",
        "        # In caso di errore, restituisci una lista vuota\n",
        "        print(f\"Errore: Impossibile estrarre cartelle da {url}\")\n",
        "        return [''] * 3\n",
        "\n",
        "# Creiamo le nuove colonne del DataFrame utilizzando il metodo apply\n",
        "folders = merged_df4['page'].apply(extract_folders)\n",
        "merged_df4['folder_lv1'] = folders.apply(lambda x: x[1] if len(x) > 1 else '')\n",
        "merged_df4['folder_lv2'] = folders.apply(lambda x: x[2] if len(x) > 2 else '')\n",
        "merged_df4['folder_lv3'] = folders.apply(lambda x: x[3] if len(x) > 3 else '')\n",
        "merged_df4['folder_lv4'] = folders.apply(lambda x: x[4] if len(x) > 4 else '')\n",
        "print(merged_df4.shape[0])\n",
        "merged_df4.head(3)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 129,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "yyAlQdD24bSN",
        "outputId": "e9c30bcb-644f-4332-e577-78fe6fda1a23"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Processing completed.1\n"
          ]
        },
        {
          "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>query</th>\n",
              "      <th>page</th>\n",
              "      <th>clicks</th>\n",
              "      <th>impressions</th>\n",
              "      <th>ctr</th>\n",
              "      <th>position</th>\n",
              "      <th>Char</th>\n",
              "      <th>Stemming</th>\n",
              "      <th>Stems Ordered by frequency</th>\n",
              "      <th>Strongest word stem</th>\n",
              "      <th>...</th>\n",
              "      <th>Strongest lemma</th>\n",
              "      <th>spacy_nouns</th>\n",
              "      <th>Brand/Non-branded</th>\n",
              "      <th>website_avg_ctr_by_pos</th>\n",
              "      <th>comparison</th>\n",
              "      <th>folder_lv1</th>\n",
              "      <th>folder_lv2</th>\n",
              "      <th>folder_lv3</th>\n",
              "      <th>folder_lv4</th>\n",
              "      <th>top_5_queries</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>proxy</td>\n",
              "      <td>https://www.evemilano.com/proxy-server/</td>\n",
              "      <td>0</td>\n",
              "      <td>3810</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>8</td>\n",
              "      <td>5</td>\n",
              "      <td>proxy</td>\n",
              "      <td>proxy</td>\n",
              "      <td>proxy</td>\n",
              "      <td>...</td>\n",
              "      <td>proxy</td>\n",
              "      <td>proxy</td>\n",
              "      <td>Non-branded</td>\n",
              "      <td>0.13%</td>\n",
              "      <td>lower</td>\n",
              "      <td>proxy-server</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>proxy, proxy significato, proxy server, proxy ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>web archive</td>\n",
              "      <td>https://www.evemilano.com/web-archive/</td>\n",
              "      <td>16</td>\n",
              "      <td>3735</td>\n",
              "      <td>0.43%</td>\n",
              "      <td>4</td>\n",
              "      <td>11</td>\n",
              "      <td>web archiv</td>\n",
              "      <td>web archiv</td>\n",
              "      <td>web</td>\n",
              "      <td>...</td>\n",
              "      <td>web</td>\n",
              "      <td>web</td>\n",
              "      <td>Non-branded</td>\n",
              "      <td>0.97%</td>\n",
              "      <td>lower</td>\n",
              "      <td>web-archive</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>web archive, webarchive, archive web, internet...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>webarchive</td>\n",
              "      <td>https://www.evemilano.com/web-archive/</td>\n",
              "      <td>8</td>\n",
              "      <td>2479</td>\n",
              "      <td>0.32%</td>\n",
              "      <td>4</td>\n",
              "      <td>10</td>\n",
              "      <td>webarc</td>\n",
              "      <td>webarc</td>\n",
              "      <td>webarc</td>\n",
              "      <td>...</td>\n",
              "      <td>Webarchive</td>\n",
              "      <td>webarchive</td>\n",
              "      <td>Non-branded</td>\n",
              "      <td>0.97%</td>\n",
              "      <td>lower</td>\n",
              "      <td>web-archive</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>web archive, webarchive, archive web, internet...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>3 rows × 22 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "         query                                     page  clicks  impressions  \\\n",
              "0        proxy  https://www.evemilano.com/proxy-server/       0         3810   \n",
              "1  web archive   https://www.evemilano.com/web-archive/      16         3735   \n",
              "2   webarchive   https://www.evemilano.com/web-archive/       8         2479   \n",
              "\n",
              "    ctr  position  Char    Stemming Stems Ordered by frequency  \\\n",
              "0 0.00%         8     5       proxy                      proxy   \n",
              "1 0.43%         4    11  web archiv                 web archiv   \n",
              "2 0.32%         4    10      webarc                     webarc   \n",
              "\n",
              "  Strongest word stem  ... Strongest lemma spacy_nouns Brand/Non-branded  \\\n",
              "0               proxy  ...           proxy       proxy       Non-branded   \n",
              "1                 web  ...             web         web       Non-branded   \n",
              "2              webarc  ...      Webarchive  webarchive       Non-branded   \n",
              "\n",
              "  website_avg_ctr_by_pos comparison    folder_lv1 folder_lv2 folder_lv3  \\\n",
              "0                  0.13%      lower  proxy-server                         \n",
              "1                  0.97%      lower   web-archive                         \n",
              "2                  0.97%      lower   web-archive                         \n",
              "\n",
              "  folder_lv4                                      top_5_queries  \n",
              "0             proxy, proxy significato, proxy server, proxy ...  \n",
              "1             web archive, webarchive, archive web, internet...  \n",
              "2             web archive, webarchive, archive web, internet...  \n",
              "\n",
              "[3 rows x 22 columns]"
            ]
          },
          "execution_count": 129,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# aggiungi colonna con 5 termini più frequenti per l'URL\n",
        "########################################################\n",
        "# copia db\n",
        "merged_df5 = merged_df4.copy()\n",
        "# crea una nuova colonna vuota\n",
        "merged_df5 = merged_df5.assign(top_5_queries='')\n",
        "\n",
        "# per ogni URL mostra le 5 parole chiave con maggiori impressioni\n",
        "df_grouped = merged_df5.groupby('page').apply(lambda x: x.nlargest(5, 'impressions')['query'].tolist())\n",
        "# crea nuova colonna top_5_queries\n",
        "merged_df5['top_5_queries'] = merged_df5['page'].map(df_grouped)\n",
        "# unisci le 5 parole chiave in una stringa separata da virgola\n",
        "\n",
        "total_rows = merged_df5.shape[0]\n",
        "for i, row in merged_df5.iterrows():\n",
        "    progress = f\"Processing row {i+1}/{total_rows}\"\n",
        "    print(progress, end='\\r')\n",
        "    merged_df5.at[i, 'top_5_queries'] = ', '.join(row['top_5_queries'])\n",
        "\n",
        "# trasforma il valore posizione in intero\n",
        "merged_df5['position'] = merged_df5['position'].astype(int)\n",
        "\n",
        "print(\"Processing completed.\")\n",
        "merged_df5.head(3)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 148,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "iqw-n64BqK_1",
        "outputId": "f0796b75-eb9c-45a1-bbf0-030aad2ffc7a"
      },
      "outputs": [],
      "source": [
        "# riorganizza le colonne FINAL OUTPUT\n",
        "final_df = merged_df5.copy()\n",
        "# Crea una lista delle colonne nell'ordine desiderato\n",
        "column_order = [\"query\", \"Char\", \"page\", \"clicks\", \"impressions\", \"position\", \"ctr\",\"website_avg_ctr_by_pos\", \"comparison\", \"Strongest word stem\",\"Strongest lemma\", \"spacy_nouns\",\"top_5_queries\",\"folder_lv1\",\"folder_lv2\",\"folder_lv3\",\"Brand/Non-branded\"]\n",
        "\n",
        "\n",
        "# Utilizza il metodo reindex per riordinare le colonne del dataframe\n",
        "final_df = final_df.reindex(columns=column_order)\n",
        "#final_df.head(5)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 149,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Somma totale dei clicks: 218\n",
            "Somma totale delle impressions: 63702\n"
          ]
        },
        {
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
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              "\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>query</th>\n",
              "      <th>Char</th>\n",
              "      <th>page</th>\n",
              "      <th>clicks</th>\n",
              "      <th>impressions</th>\n",
              "      <th>position</th>\n",
              "      <th>ctr</th>\n",
              "      <th>website_avg_ctr_by_pos</th>\n",
              "      <th>comparison</th>\n",
              "      <th>Strongest word stem</th>\n",
              "      <th>Strongest lemma</th>\n",
              "      <th>spacy_nouns</th>\n",
              "      <th>top_5_queries</th>\n",
              "      <th>folder_lv1</th>\n",
              "      <th>folder_lv2</th>\n",
              "      <th>folder_lv3</th>\n",
              "      <th>Brand/Non-branded</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>proxy</td>\n",
              "      <td>5</td>\n",
              "      <td>https://www.evemilano.com/proxy-server/</td>\n",
              "      <td>0</td>\n",
              "      <td>3810</td>\n",
              "      <td>8</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>0.13%</td>\n",
              "      <td>lower</td>\n",
              "      <td>proxy</td>\n",
              "      <td>proxy</td>\n",
              "      <td>proxy</td>\n",
              "      <td>proxy, proxy significato, proxy server, proxy ...</td>\n",
              "      <td>proxy-server</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>Non-branded</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>web archive</td>\n",
              "      <td>11</td>\n",
              "      <td>https://www.evemilano.com/web-archive/</td>\n",
              "      <td>16</td>\n",
              "      <td>3735</td>\n",
              "      <td>4</td>\n",
              "      <td>0.43%</td>\n",
              "      <td>0.97%</td>\n",
              "      <td>lower</td>\n",
              "      <td>web</td>\n",
              "      <td>web</td>\n",
              "      <td>web</td>\n",
              "      <td>web archive, webarchive, archive web, internet...</td>\n",
              "      <td>web-archive</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>Non-branded</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>webarchive</td>\n",
              "      <td>10</td>\n",
              "      <td>https://www.evemilano.com/web-archive/</td>\n",
              "      <td>8</td>\n",
              "      <td>2479</td>\n",
              "      <td>4</td>\n",
              "      <td>0.32%</td>\n",
              "      <td>0.97%</td>\n",
              "      <td>lower</td>\n",
              "      <td>webarc</td>\n",
              "      <td>Webarchive</td>\n",
              "      <td>webarchive</td>\n",
              "      <td>web archive, webarchive, archive web, internet...</td>\n",
              "      <td>web-archive</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>Non-branded</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>gdpr significato</td>\n",
              "      <td>16</td>\n",
              "      <td>https://www.evemilano.com/gdpr/</td>\n",
              "      <td>0</td>\n",
              "      <td>2420</td>\n",
              "      <td>8</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>0.13%</td>\n",
              "      <td>lower</td>\n",
              "      <td>signific</td>\n",
              "      <td>significato</td>\n",
              "      <td>gdpr</td>\n",
              "      <td>gdpr significato, gdpr acronimo, gdpr, gdpr, a...</td>\n",
              "      <td>gdpr</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>Non-branded</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>l'indirizzo completo di un sito</td>\n",
              "      <td>31</td>\n",
              "      <td>https://www.evemilano.com/come-trovare-indiriz...</td>\n",
              "      <td>0</td>\n",
              "      <td>1681</td>\n",
              "      <td>9</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>0.22%</td>\n",
              "      <td>lower</td>\n",
              "      <td>sit</td>\n",
              "      <td>sito</td>\n",
              "      <td>indirizzo sito</td>\n",
              "      <td>l'indirizzo completo di un sito, l'indirizzo d...</td>\n",
              "      <td>come-trovare-indirizzo-ip-sito-web</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>Non-branded</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>206</th>\n",
              "      <td>google advertising</td>\n",
              "      <td>18</td>\n",
              "      <td>https://www.evemilano.com/pubblicita-google/</td>\n",
              "      <td>0</td>\n",
              "      <td>101</td>\n",
              "      <td>94</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>equal</td>\n",
              "      <td>googl</td>\n",
              "      <td>google</td>\n",
              "      <td>advertising</td>\n",
              "      <td>pubblicità su google, pubblicità google, googl...</td>\n",
              "      <td>pubblicita-google</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>Non-branded</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>207</th>\n",
              "      <td>servizio link building</td>\n",
              "      <td>22</td>\n",
              "      <td>https://www.evemilano.com/servizi-seo/link-bui...</td>\n",
              "      <td>0</td>\n",
              "      <td>101</td>\n",
              "      <td>27</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>equal</td>\n",
              "      <td>link</td>\n",
              "      <td>link</td>\n",
              "      <td>servizio link</td>\n",
              "      <td>link building, agenzia link building, servizio...</td>\n",
              "      <td>servizi-seo</td>\n",
              "      <td>link-building</td>\n",
              "      <td></td>\n",
              "      <td>Non-branded</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>209</th>\n",
              "      <td>alerts</td>\n",
              "      <td>6</td>\n",
              "      <td>https://www.evemilano.com/google-alerts/</td>\n",
              "      <td>0</td>\n",
              "      <td>101</td>\n",
              "      <td>13</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>0.30%</td>\n",
              "      <td>lower</td>\n",
              "      <td>alerts</td>\n",
              "      <td>alerts</td>\n",
              "      <td>alerts</td>\n",
              "      <td>alerts</td>\n",
              "      <td>google-alerts</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>Non-branded</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>210</th>\n",
              "      <td>gestione blog aziendale</td>\n",
              "      <td>23</td>\n",
              "      <td>https://www.evemilano.com/blog-aziendali-wordp...</td>\n",
              "      <td>0</td>\n",
              "      <td>100</td>\n",
              "      <td>39</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>0.95%</td>\n",
              "      <td>lower</td>\n",
              "      <td>blog</td>\n",
              "      <td>blog</td>\n",
              "      <td>gestione blog</td>\n",
              "      <td>blog aziendale, blog aziendali, gestione blog ...</td>\n",
              "      <td>blog-aziendali-wordpress</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>Non-branded</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>211</th>\n",
              "      <td>gestione google ads</td>\n",
              "      <td>19</td>\n",
              "      <td>https://www.evemilano.com/pubblicita-google/ge...</td>\n",
              "      <td>0</td>\n",
              "      <td>100</td>\n",
              "      <td>47</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>equal</td>\n",
              "      <td>googl</td>\n",
              "      <td>google</td>\n",
              "      <td>gestione</td>\n",
              "      <td>gestione campagne adwords, gestione campagne g...</td>\n",
              "      <td>pubblicita-google</td>\n",
              "      <td>gestione-campagne-adwords</td>\n",
              "      <td></td>\n",
              "      <td>Non-branded</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>211 rows × 17 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                               query  Char  \\\n",
              "0                              proxy     5   \n",
              "1                        web archive    11   \n",
              "2                         webarchive    10   \n",
              "3                   gdpr significato    16   \n",
              "4    l'indirizzo completo di un sito    31   \n",
              "..                               ...   ...   \n",
              "206               google advertising    18   \n",
              "207           servizio link building    22   \n",
              "209                           alerts     6   \n",
              "210          gestione blog aziendale    23   \n",
              "211              gestione google ads    19   \n",
              "\n",
              "                                                  page  clicks  impressions  \\\n",
              "0              https://www.evemilano.com/proxy-server/       0         3810   \n",
              "1               https://www.evemilano.com/web-archive/      16         3735   \n",
              "2               https://www.evemilano.com/web-archive/       8         2479   \n",
              "3                      https://www.evemilano.com/gdpr/       0         2420   \n",
              "4    https://www.evemilano.com/come-trovare-indiriz...       0         1681   \n",
              "..                                                 ...     ...          ...   \n",
              "206       https://www.evemilano.com/pubblicita-google/       0          101   \n",
              "207  https://www.evemilano.com/servizi-seo/link-bui...       0          101   \n",
              "209           https://www.evemilano.com/google-alerts/       0          101   \n",
              "210  https://www.evemilano.com/blog-aziendali-wordp...       0          100   \n",
              "211  https://www.evemilano.com/pubblicita-google/ge...       0          100   \n",
              "\n",
              "     position   ctr  website_avg_ctr_by_pos comparison Strongest word stem  \\\n",
              "0           8 0.00%                   0.13%      lower               proxy   \n",
              "1           4 0.43%                   0.97%      lower                 web   \n",
              "2           4 0.32%                   0.97%      lower              webarc   \n",
              "3           8 0.00%                   0.13%      lower            signific   \n",
              "4           9 0.00%                   0.22%      lower                 sit   \n",
              "..        ...   ...                     ...        ...                 ...   \n",
              "206        94 0.00%                   0.00%      equal               googl   \n",
              "207        27 0.00%                   0.00%      equal                link   \n",
              "209        13 0.00%                   0.30%      lower              alerts   \n",
              "210        39 0.00%                   0.95%      lower                blog   \n",
              "211        47 0.00%                   0.00%      equal               googl   \n",
              "\n",
              "    Strongest lemma     spacy_nouns  \\\n",
              "0             proxy           proxy   \n",
              "1               web             web   \n",
              "2        Webarchive      webarchive   \n",
              "3       significato            gdpr   \n",
              "4              sito  indirizzo sito   \n",
              "..              ...             ...   \n",
              "206          google     advertising   \n",
              "207            link   servizio link   \n",
              "209          alerts          alerts   \n",
              "210            blog   gestione blog   \n",
              "211          google        gestione   \n",
              "\n",
              "                                         top_5_queries  \\\n",
              "0    proxy, proxy significato, proxy server, proxy ...   \n",
              "1    web archive, webarchive, archive web, internet...   \n",
              "2    web archive, webarchive, archive web, internet...   \n",
              "3    gdpr significato, gdpr acronimo, gdpr, gdpr, a...   \n",
              "4    l'indirizzo completo di un sito, l'indirizzo d...   \n",
              "..                                                 ...   \n",
              "206  pubblicità su google, pubblicità google, googl...   \n",
              "207  link building, agenzia link building, servizio...   \n",
              "209                                             alerts   \n",
              "210  blog aziendale, blog aziendali, gestione blog ...   \n",
              "211  gestione campagne adwords, gestione campagne g...   \n",
              "\n",
              "                             folder_lv1                 folder_lv2 folder_lv3  \\\n",
              "0                          proxy-server                                         \n",
              "1                           web-archive                                         \n",
              "2                           web-archive                                         \n",
              "3                                  gdpr                                         \n",
              "4    come-trovare-indirizzo-ip-sito-web                                         \n",
              "..                                  ...                        ...        ...   \n",
              "206                   pubblicita-google                                         \n",
              "207                         servizi-seo              link-building              \n",
              "209                       google-alerts                                         \n",
              "210            blog-aziendali-wordpress                                         \n",
              "211                   pubblicita-google  gestione-campagne-adwords              \n",
              "\n",
              "    Brand/Non-branded  \n",
              "0         Non-branded  \n",
              "1         Non-branded  \n",
              "2         Non-branded  \n",
              "3         Non-branded  \n",
              "4         Non-branded  \n",
              "..                ...  \n",
              "206       Non-branded  \n",
              "207       Non-branded  \n",
              "209       Non-branded  \n",
              "210       Non-branded  \n",
              "211       Non-branded  \n",
              "\n",
              "[211 rows x 17 columns]"
            ]
          },
          "execution_count": 149,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# Stampa la somma totale dei clicks e delle impressions\n",
        "total_clicks = final_df['clicks'].sum()\n",
        "total_impressions = final_df['impressions'].sum()\n",
        "\n",
        "print(\"Somma totale dei clicks:\", total_clicks)\n",
        "print(\"Somma totale delle impressions:\", total_impressions)\n",
        "\n",
        "final_df"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 150,
      "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></th>\n",
              "      <th>clicks</th>\n",
              "      <th>ctr</th>\n",
              "      <th>impressions</th>\n",
              "      <th>position</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>query</th>\n",
              "      <th>page</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>consulenza seo</th>\n",
              "      <th>https://www.evemilano.com/</th>\n",
              "      <td>0</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>239</td>\n",
              "      <td>67</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>consulenza seo</th>\n",
              "      <th>https://www.evemilano.com/servizi-seo/</th>\n",
              "      <td>0</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>508</td>\n",
              "      <td>85</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                                       clicks   ctr  \\\n",
              "query          page                                                   \n",
              "consulenza seo https://www.evemilano.com/                   0 0.00%   \n",
              "consulenza seo https://www.evemilano.com/servizi-seo/       0 0.00%   \n",
              "\n",
              "                                                       impressions  position  \n",
              "query          page                                                           \n",
              "consulenza seo https://www.evemilano.com/                      239        67  \n",
              "consulenza seo https://www.evemilano.com/servizi-seo/          508        85  "
            ]
          },
          "execution_count": 150,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# Cannibalizzazione\n",
        "df_cann = final_df.copy()\n",
        "# Calcola la somma delle 'impressions' per ogni 'query'\n",
        "impressions_sums = df_cann.groupby('query')['impressions'].sum()\n",
        "# Crea una nuova colonna nel DataFrame per queste somme\n",
        "df_cann['impressions_sum'] = df_cann['query'].map(impressions_sums)\n",
        "# Crea la tabella pivot utilizzando anche la nuova colonna\n",
        "cann_pivot_table = df_cann.pivot_table(index=['query', 'page'], values=['clicks', 'impressions', 'ctr', 'position', 'impressions_sum'])\n",
        "# Ordina le righe in base alla somma delle 'impressions', quindi in base alle 'impressions' per pagina\n",
        "cann_pivot_table_sorted = cann_pivot_table.sort_values(['impressions_sum', 'impressions','query'], ascending=[False, False, False])\n",
        "# Filtra le righe per mostrare solo le query che appaiono almeno due volte\n",
        "cann_filtered_table = cann_pivot_table_sorted.groupby('query').filter(lambda x: len(x) > 1)\n",
        "# Imposta l'opzione 'multi_sparse' su False per ripetere query in ogni riga\n",
        "pd.set_option('display.multi_sparse', False)\n",
        "# Rimuovi la colonna 'impressions_sum'\n",
        "cann_filtered_table = cann_filtered_table.drop(columns='impressions_sum')\n",
        "# ordina e formatta\n",
        "cann_filtered_table = cann_filtered_table.sort_values(by=['query', 'page', 'clicks', 'impressions', 'ctr', 'position'])\n",
        "# Formatta 'clicks', 'impressions', e 'position' come interi\n",
        "cann_filtered_table['clicks'] = cann_filtered_table['clicks'].astype(int)\n",
        "cann_filtered_table['impressions'] = cann_filtered_table['impressions'].astype(int)\n",
        "cann_filtered_table['position'] = cann_filtered_table['position'].astype(int)\n",
        "# Formatta 'ctr' con 5 decimali\n",
        "# Visualizza il DataFrame aggiornato\n",
        "cann_filtered_table.head(10)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 152,
      "metadata": {
        "id": "2qG0PR2diFUs"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Somma totale dei clicks: 110\n",
            "Somma totale delle impressions: 51832\n"
          ]
        },
        {
          "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>query</th>\n",
              "      <th>Char</th>\n",
              "      <th>page</th>\n",
              "      <th>clicks</th>\n",
              "      <th>impressions</th>\n",
              "      <th>position</th>\n",
              "      <th>ctr</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>proxy</td>\n",
              "      <td>5</td>\n",
              "      <td>https://www.evemilano.com/proxy-server/</td>\n",
              "      <td>0</td>\n",
              "      <td>3810</td>\n",
              "      <td>8</td>\n",
              "      <td>0.00%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>gdpr significato</td>\n",
              "      <td>16</td>\n",
              "      <td>https://www.evemilano.com/gdpr/</td>\n",
              "      <td>0</td>\n",
              "      <td>2420</td>\n",
              "      <td>8</td>\n",
              "      <td>0.00%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>l'indirizzo completo di un sito</td>\n",
              "      <td>31</td>\n",
              "      <td>https://www.evemilano.com/come-trovare-indiriz...</td>\n",
              "      <td>0</td>\n",
              "      <td>1681</td>\n",
              "      <td>9</td>\n",
              "      <td>0.00%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>agenzia seo</td>\n",
              "      <td>11</td>\n",
              "      <td>https://www.evemilano.com/servizi-seo/agenzia/</td>\n",
              "      <td>0</td>\n",
              "      <td>1624</td>\n",
              "      <td>91</td>\n",
              "      <td>0.00%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>gdpr acronimo</td>\n",
              "      <td>13</td>\n",
              "      <td>https://www.evemilano.com/gdpr/</td>\n",
              "      <td>0</td>\n",
              "      <td>1420</td>\n",
              "      <td>10</td>\n",
              "      <td>0.00%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>206</th>\n",
              "      <td>google advertising</td>\n",
              "      <td>18</td>\n",
              "      <td>https://www.evemilano.com/pubblicita-google/</td>\n",
              "      <td>0</td>\n",
              "      <td>101</td>\n",
              "      <td>94</td>\n",
              "      <td>0.00%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>207</th>\n",
              "      <td>servizio link building</td>\n",
              "      <td>22</td>\n",
              "      <td>https://www.evemilano.com/servizi-seo/link-bui...</td>\n",
              "      <td>0</td>\n",
              "      <td>101</td>\n",
              "      <td>27</td>\n",
              "      <td>0.00%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>209</th>\n",
              "      <td>alerts</td>\n",
              "      <td>6</td>\n",
              "      <td>https://www.evemilano.com/google-alerts/</td>\n",
              "      <td>0</td>\n",
              "      <td>101</td>\n",
              "      <td>13</td>\n",
              "      <td>0.00%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>210</th>\n",
              "      <td>gestione blog aziendale</td>\n",
              "      <td>23</td>\n",
              "      <td>https://www.evemilano.com/blog-aziendali-wordp...</td>\n",
              "      <td>0</td>\n",
              "      <td>100</td>\n",
              "      <td>39</td>\n",
              "      <td>0.00%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>211</th>\n",
              "      <td>gestione google ads</td>\n",
              "      <td>19</td>\n",
              "      <td>https://www.evemilano.com/pubblicita-google/ge...</td>\n",
              "      <td>0</td>\n",
              "      <td>100</td>\n",
              "      <td>47</td>\n",
              "      <td>0.00%</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>182 rows × 7 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                               query  Char  \\\n",
              "0                              proxy     5   \n",
              "3                   gdpr significato    16   \n",
              "4    l'indirizzo completo di un sito    31   \n",
              "5                        agenzia seo    11   \n",
              "6                      gdpr acronimo    13   \n",
              "..                               ...   ...   \n",
              "206               google advertising    18   \n",
              "207           servizio link building    22   \n",
              "209                           alerts     6   \n",
              "210          gestione blog aziendale    23   \n",
              "211              gestione google ads    19   \n",
              "\n",
              "                                                  page  clicks  impressions  \\\n",
              "0              https://www.evemilano.com/proxy-server/       0         3810   \n",
              "3                      https://www.evemilano.com/gdpr/       0         2420   \n",
              "4    https://www.evemilano.com/come-trovare-indiriz...       0         1681   \n",
              "5       https://www.evemilano.com/servizi-seo/agenzia/       0         1624   \n",
              "6                      https://www.evemilano.com/gdpr/       0         1420   \n",
              "..                                                 ...     ...          ...   \n",
              "206       https://www.evemilano.com/pubblicita-google/       0          101   \n",
              "207  https://www.evemilano.com/servizi-seo/link-bui...       0          101   \n",
              "209           https://www.evemilano.com/google-alerts/       0          101   \n",
              "210  https://www.evemilano.com/blog-aziendali-wordp...       0          100   \n",
              "211  https://www.evemilano.com/pubblicita-google/ge...       0          100   \n",
              "\n",
              "     position   ctr  \n",
              "0           8 0.00%  \n",
              "3           8 0.00%  \n",
              "4           9 0.00%  \n",
              "5          91 0.00%  \n",
              "6          10 0.00%  \n",
              "..        ...   ...  \n",
              "206        94 0.00%  \n",
              "207        27 0.00%  \n",
              "209        13 0.00%  \n",
              "210        39 0.00%  \n",
              "211        47 0.00%  \n",
              "\n",
              "[182 rows x 7 columns]"
            ]
          },
          "execution_count": 152,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# Foglio Improve, solo posizioni > 6\n",
        "df_improve = final_df.copy()\n",
        "df_improve = df_improve[df_improve['position'] >= 6]\n",
        "# rimuovi colonne inutili\n",
        "df_improve = df_improve.drop(columns=['website_avg_ctr_by_pos', 'Brand/Non-branded', 'comparison','top_5_queries','Strongest word stem','Strongest lemma','spacy_nouns','folder_lv1', 'folder_lv2', 'folder_lv3'])\n",
        "# Stampa la somma totale dei clicks e delle impressions\n",
        "total_clicks = df_improve['clicks'].sum()\n",
        "total_impressions = df_improve['impressions'].sum()\n",
        "\n",
        "print(\"Somma totale dei clicks:\", total_clicks)\n",
        "print(\"Somma totale delle impressions:\", total_impressions)\n",
        "df_improve"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 153,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Debug - URL: https://www.evemilano.com/web-archive/ - Debug - Include: True - Exclude: False\n",
            "{'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36'}\n",
            "Request 1/1 - https://www.evemilano.com/web-archive/ - Cos’è Web Archive? Scopri i suoi utilizzi pratici\n",
            "Debug - URL: https://www.evemilano.com/proxy-server/ - Debug - Include: True - Exclude: False\n"
          ]
        },
        {
          "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>query</th>\n",
              "      <th>Char</th>\n",
              "      <th>page</th>\n",
              "      <th>clicks</th>\n",
              "      <th>impressions</th>\n",
              "      <th>position</th>\n",
              "      <th>ctr</th>\n",
              "      <th>website_avg_ctr_by_pos</th>\n",
              "      <th>comparison</th>\n",
              "      <th>Strongest word stem</th>\n",
              "      <th>Strongest lemma</th>\n",
              "      <th>spacy_nouns</th>\n",
              "      <th>top_5_queries</th>\n",
              "      <th>folder_lv1</th>\n",
              "      <th>folder_lv2</th>\n",
              "      <th>folder_lv3</th>\n",
              "      <th>Brand/Non-branded</th>\n",
              "      <th>tag title</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>proxy</td>\n",
              "      <td>5</td>\n",
              "      <td>https://www.evemilano.com/proxy-server/</td>\n",
              "      <td>0</td>\n",
              "      <td>3810</td>\n",
              "      <td>8</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>0.13%</td>\n",
              "      <td>lower</td>\n",
              "      <td>proxy</td>\n",
              "      <td>proxy</td>\n",
              "      <td>proxy</td>\n",
              "      <td>proxy, proxy significato, proxy server, proxy ...</td>\n",
              "      <td>proxy-server</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>Non-branded</td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>web archive</td>\n",
              "      <td>11</td>\n",
              "      <td>https://www.evemilano.com/web-archive/</td>\n",
              "      <td>16</td>\n",
              "      <td>3735</td>\n",
              "      <td>4</td>\n",
              "      <td>0.43%</td>\n",
              "      <td>0.97%</td>\n",
              "      <td>lower</td>\n",
              "      <td>web</td>\n",
              "      <td>web</td>\n",
              "      <td>web</td>\n",
              "      <td>web archive, webarchive, archive web, internet...</td>\n",
              "      <td>web-archive</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>Non-branded</td>\n",
              "      <td>Cos’è Web Archive? Scopri i suoi utilizzi pratici</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>webarchive</td>\n",
              "      <td>10</td>\n",
              "      <td>https://www.evemilano.com/web-archive/</td>\n",
              "      <td>8</td>\n",
              "      <td>2479</td>\n",
              "      <td>4</td>\n",
              "      <td>0.32%</td>\n",
              "      <td>0.97%</td>\n",
              "      <td>lower</td>\n",
              "      <td>webarc</td>\n",
              "      <td>Webarchive</td>\n",
              "      <td>webarchive</td>\n",
              "      <td>web archive, webarchive, archive web, internet...</td>\n",
              "      <td>web-archive</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>Non-branded</td>\n",
              "      <td>Cos’è Web Archive? Scopri i suoi utilizzi pratici</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>gdpr significato</td>\n",
              "      <td>16</td>\n",
              "      <td>https://www.evemilano.com/gdpr/</td>\n",
              "      <td>0</td>\n",
              "      <td>2420</td>\n",
              "      <td>8</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>0.13%</td>\n",
              "      <td>lower</td>\n",
              "      <td>signific</td>\n",
              "      <td>significato</td>\n",
              "      <td>gdpr</td>\n",
              "      <td>gdpr significato, gdpr acronimo, gdpr, gdpr, a...</td>\n",
              "      <td>gdpr</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>Non-branded</td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>l'indirizzo completo di un sito</td>\n",
              "      <td>31</td>\n",
              "      <td>https://www.evemilano.com/come-trovare-indiriz...</td>\n",
              "      <td>0</td>\n",
              "      <td>1681</td>\n",
              "      <td>9</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>0.22%</td>\n",
              "      <td>lower</td>\n",
              "      <td>sit</td>\n",
              "      <td>sito</td>\n",
              "      <td>indirizzo sito</td>\n",
              "      <td>l'indirizzo completo di un sito, l'indirizzo d...</td>\n",
              "      <td>come-trovare-indirizzo-ip-sito-web</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>Non-branded</td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                             query  Char  \\\n",
              "0                            proxy     5   \n",
              "1                      web archive    11   \n",
              "2                       webarchive    10   \n",
              "3                 gdpr significato    16   \n",
              "4  l'indirizzo completo di un sito    31   \n",
              "\n",
              "                                                page  clicks  impressions  \\\n",
              "0            https://www.evemilano.com/proxy-server/       0         3810   \n",
              "1             https://www.evemilano.com/web-archive/      16         3735   \n",
              "2             https://www.evemilano.com/web-archive/       8         2479   \n",
              "3                    https://www.evemilano.com/gdpr/       0         2420   \n",
              "4  https://www.evemilano.com/come-trovare-indiriz...       0         1681   \n",
              "\n",
              "   position   ctr  website_avg_ctr_by_pos comparison Strongest word stem  \\\n",
              "0         8 0.00%                   0.13%      lower               proxy   \n",
              "1         4 0.43%                   0.97%      lower                 web   \n",
              "2         4 0.32%                   0.97%      lower              webarc   \n",
              "3         8 0.00%                   0.13%      lower            signific   \n",
              "4         9 0.00%                   0.22%      lower                 sit   \n",
              "\n",
              "  Strongest lemma     spacy_nouns  \\\n",
              "0           proxy           proxy   \n",
              "1             web             web   \n",
              "2      Webarchive      webarchive   \n",
              "3     significato            gdpr   \n",
              "4            sito  indirizzo sito   \n",
              "\n",
              "                                       top_5_queries  \\\n",
              "0  proxy, proxy significato, proxy server, proxy ...   \n",
              "1  web archive, webarchive, archive web, internet...   \n",
              "2  web archive, webarchive, archive web, internet...   \n",
              "3  gdpr significato, gdpr acronimo, gdpr, gdpr, a...   \n",
              "4  l'indirizzo completo di un sito, l'indirizzo d...   \n",
              "\n",
              "                           folder_lv1 folder_lv2 folder_lv3 Brand/Non-branded  \\\n",
              "0                        proxy-server                             Non-branded   \n",
              "1                         web-archive                             Non-branded   \n",
              "2                         web-archive                             Non-branded   \n",
              "3                                gdpr                             Non-branded   \n",
              "4  come-trovare-indirizzo-ip-sito-web                             Non-branded   \n",
              "\n",
              "                                           tag title  \n",
              "0                                                     \n",
              "1  Cos’è Web Archive? Scopri i suoi utilizzi pratici  \n",
              "2  Cos’è Web Archive? Scopri i suoi utilizzi pratici  \n",
              "3                                                     \n",
              "4                                                     "
            ]
          },
          "execution_count": 153,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# Funzione per ottenere un User-Agent casuale   \n",
        "def get_random_user_agent():\n",
        "    ua = UserAgent()\n",
        "    if user_agent_option == 'random':\n",
        "        return ua.random\n",
        "    elif user_agent_option == 'chrome':\n",
        "        return ua.chrome\n",
        "    elif user_agent_option == 'fixed':\n",
        "        return 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36'\n",
        "    else:\n",
        "        print(\"Opzione User-Agent non valida. Utilizzo di un User-Agent casuale.\")\n",
        "        return ua.random\n",
        "    \n",
        "# Funzione per estrarre il tag title da un URL\n",
        "def extract_title(url, session):\n",
        "    headers = {'User-Agent': get_random_user_agent()}\n",
        "    try:\n",
        "        response = session.get(url, headers=headers)\n",
        "        response.raise_for_status()\n",
        "        if 'text/html' not in response.headers.get('Content-Type', ''):\n",
        "            print(f\"Skipping non-HTML content at {url}\")\n",
        "            return None\n",
        "        #soup = BeautifulSoup(response.content, 'html.parser')\n",
        "\n",
        "        try:\n",
        "            soup = BeautifulSoup(response.content, 'html.parser', from_encoding=response.encoding)\n",
        "            print(headers)\n",
        "        except Exception as e:\n",
        "            print(f\"Error Details:\")\n",
        "            print(f\"  - URL: {url}\")\n",
        "            print(f\"  - Exception Type: {type(e).__name__}\")\n",
        "            print(f\"  - Exception Message: {str(e)}\")\n",
        "            if hasattr(e, 'response') and e.response is not None:\n",
        "                print(f\"  - HTTP Status Code: {e.response.status_code}\")\n",
        "                print(f\"  - HTTP Headers: {e.response.headers}\")\n",
        "\n",
        "        title_tag = soup.find('title')\n",
        "        return title_tag.get_text().strip() if title_tag else None\n",
        "    except requests.exceptions.RequestException as e:\n",
        "        print(f\"Error accessing {url}: {e}\")\n",
        "        return None\n",
        "\n",
        "# Funzione per aggiornare raw_dfP con il tag title\n",
        "def update_raw_df_with_titles(raw_dfP, counter_max, include=\"\", exclude=\"\"):\n",
        "    # Converti le stringhe include ed exclude in liste, se non sono vuote\n",
        "    include_list = None if not include else include.split(\"|\")\n",
        "    exclude_list = exclude.split(\"|\") if exclude else None\n",
        "\n",
        "    session = requests.Session()\n",
        "    raw_dfP['tag title'] = ''\n",
        "    counter = 0\n",
        "    total_requests = min(counter_max, len(raw_dfP))  # Il minimo tra counter_max e la lunghezza di raw_dfP\n",
        "    for i, row in raw_dfP.iterrows():\n",
        "        url = row['page']\n",
        "        # Se include_list è None, ignora il filtro di inclusione\n",
        "        should_include = include_list is None or any(folder in url for folder in include_list)\n",
        "        should_exclude = exclude_list is not None and any(folder in url for folder in exclude_list)\n",
        "\n",
        "        # Aggiungi stampe di debug per verificare il processo di filtraggio\n",
        "        print(f\"Debug - URL: {url} - Debug - Include: {should_include} - Exclude: {should_exclude}\")\n",
        "\n",
        "        # Incrementa il contatore solo se l'URL rispetta i criteri di include ed exclude\n",
        "        if should_include and not should_exclude:\n",
        "            if counter >= counter_max:\n",
        "                break\n",
        "            title = extract_title(url, session)\n",
        "            if title:\n",
        "                raw_dfP.at[i, 'tag title'] = title\n",
        "            print(f'Request {counter+1}/{total_requests} - {url} - {raw_dfP.at[i, \"tag title\"]}')\n",
        "            counter += 1\n",
        "            time.sleep(attesa)  # Rate limiting\n",
        "    session.close()\n",
        "    return raw_dfP\n",
        "\n",
        "# Funzione per eseguire il VLOOKUP-like operation\n",
        "def vlookup_titles_into_merged_df(merged_df7, raw_dfP):\n",
        "    # Creare un dizionario di URL e tag title da raw_dfP\n",
        "    title_dict = pd.Series(raw_dfP['tag title'].values, index=raw_dfP['page']).to_dict()\n",
        "    # Mappare il tag title su merged_df7 usando il dizionario\n",
        "    merged_df7['tag title'] = merged_df7['page'].map(title_dict)\n",
        "    return merged_df7\n",
        "\n",
        "# Eseguire le operazioni\n",
        "# Aggiorna raw_dfP con i tag title, passando le variabili include ed exclude\n",
        "raw_dfP = update_raw_df_with_titles(raw_dfP, counter_max, include, exclude)\n",
        "\n",
        "merged_df7= final_df.copy()\n",
        "\n",
        "# Unire i tag title in merged_df7\n",
        "merged_df7 = vlookup_titles_into_merged_df(merged_df7, raw_dfP)\n",
        "\n",
        "# Visualizzare le prime righe per confermare\n",
        "merged_df7.head()\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 135,
      "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>query</th>\n",
              "      <th>Char</th>\n",
              "      <th>page</th>\n",
              "      <th>clicks</th>\n",
              "      <th>impressions</th>\n",
              "      <th>position</th>\n",
              "      <th>ctr</th>\n",
              "      <th>website_avg_ctr_by_pos</th>\n",
              "      <th>comparison</th>\n",
              "      <th>Ordered by frequency</th>\n",
              "      <th>Strongest word stem</th>\n",
              "      <th>spacy_nouns</th>\n",
              "      <th>top_5_queries</th>\n",
              "      <th>folder_lv1</th>\n",
              "      <th>folder_lv2</th>\n",
              "      <th>folder_lv3</th>\n",
              "      <th>Brand/Non-branded</th>\n",
              "      <th>tag title</th>\n",
              "      <th>check</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>proxy</td>\n",
              "      <td>5</td>\n",
              "      <td>https://www.evemilano.com/proxy-server/</td>\n",
              "      <td>0</td>\n",
              "      <td>3810</td>\n",
              "      <td>8</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>0.13%</td>\n",
              "      <td>lower</td>\n",
              "      <td>NaN</td>\n",
              "      <td>proxy</td>\n",
              "      <td>proxy</td>\n",
              "      <td>proxy, proxy significato, proxy server, proxy ...</td>\n",
              "      <td>proxy-server</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>Non-branded</td>\n",
              "      <td></td>\n",
              "      <td>N.A.</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>web archive</td>\n",
              "      <td>11</td>\n",
              "      <td>https://www.evemilano.com/web-archive/</td>\n",
              "      <td>16</td>\n",
              "      <td>3735</td>\n",
              "      <td>4</td>\n",
              "      <td>0.43%</td>\n",
              "      <td>0.97%</td>\n",
              "      <td>lower</td>\n",
              "      <td>NaN</td>\n",
              "      <td>web</td>\n",
              "      <td>web</td>\n",
              "      <td>web archive, webarchive, archive web, internet...</td>\n",
              "      <td>web-archive</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>Non-branded</td>\n",
              "      <td>Cos’è Web Archive? Scopri i suoi utilizzi pratici</td>\n",
              "      <td>Missing 3: web.archive, webarchive, internet</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>webarchive</td>\n",
              "      <td>10</td>\n",
              "      <td>https://www.evemilano.com/web-archive/</td>\n",
              "      <td>8</td>\n",
              "      <td>2479</td>\n",
              "      <td>4</td>\n",
              "      <td>0.32%</td>\n",
              "      <td>0.97%</td>\n",
              "      <td>lower</td>\n",
              "      <td>NaN</td>\n",
              "      <td>webarc</td>\n",
              "      <td>webarchive</td>\n",
              "      <td>web archive, webarchive, archive web, internet...</td>\n",
              "      <td>web-archive</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>Non-branded</td>\n",
              "      <td>Cos’è Web Archive? Scopri i suoi utilizzi pratici</td>\n",
              "      <td>Missing 3: web.archive, webarchive, internet</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>gdpr significato</td>\n",
              "      <td>16</td>\n",
              "      <td>https://www.evemilano.com/gdpr/</td>\n",
              "      <td>0</td>\n",
              "      <td>2420</td>\n",
              "      <td>8</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>0.13%</td>\n",
              "      <td>lower</td>\n",
              "      <td>NaN</td>\n",
              "      <td>signific</td>\n",
              "      <td>gdpr</td>\n",
              "      <td>gdpr significato, gdpr acronimo, gdpr, gdpr, a...</td>\n",
              "      <td>gdpr</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>Non-branded</td>\n",
              "      <td></td>\n",
              "      <td>N.A.</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>l'indirizzo completo di un sito</td>\n",
              "      <td>31</td>\n",
              "      <td>https://www.evemilano.com/come-trovare-indiriz...</td>\n",
              "      <td>0</td>\n",
              "      <td>1681</td>\n",
              "      <td>9</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>0.22%</td>\n",
              "      <td>lower</td>\n",
              "      <td>NaN</td>\n",
              "      <td>sit</td>\n",
              "      <td>indirizzo sito</td>\n",
              "      <td>l'indirizzo completo di un sito, l'indirizzo d...</td>\n",
              "      <td>come-trovare-indirizzo-ip-sito-web</td>\n",
              "      <td></td>\n",
              "      <td></td>\n",
              "      <td>Non-branded</td>\n",
              "      <td></td>\n",
              "      <td>N.A.</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                             query  Char  \\\n",
              "0                            proxy     5   \n",
              "1                      web archive    11   \n",
              "2                       webarchive    10   \n",
              "3                 gdpr significato    16   \n",
              "4  l'indirizzo completo di un sito    31   \n",
              "\n",
              "                                                page  clicks  impressions  \\\n",
              "0            https://www.evemilano.com/proxy-server/       0         3810   \n",
              "1             https://www.evemilano.com/web-archive/      16         3735   \n",
              "2             https://www.evemilano.com/web-archive/       8         2479   \n",
              "3                    https://www.evemilano.com/gdpr/       0         2420   \n",
              "4  https://www.evemilano.com/come-trovare-indiriz...       0         1681   \n",
              "\n",
              "   position   ctr  website_avg_ctr_by_pos comparison  Ordered by frequency  \\\n",
              "0         8 0.00%                   0.13%      lower                   NaN   \n",
              "1         4 0.43%                   0.97%      lower                   NaN   \n",
              "2         4 0.32%                   0.97%      lower                   NaN   \n",
              "3         8 0.00%                   0.13%      lower                   NaN   \n",
              "4         9 0.00%                   0.22%      lower                   NaN   \n",
              "\n",
              "  Strongest word stem     spacy_nouns  \\\n",
              "0               proxy           proxy   \n",
              "1                 web             web   \n",
              "2              webarc      webarchive   \n",
              "3            signific            gdpr   \n",
              "4                 sit  indirizzo sito   \n",
              "\n",
              "                                       top_5_queries  \\\n",
              "0  proxy, proxy significato, proxy server, proxy ...   \n",
              "1  web archive, webarchive, archive web, internet...   \n",
              "2  web archive, webarchive, archive web, internet...   \n",
              "3  gdpr significato, gdpr acronimo, gdpr, gdpr, a...   \n",
              "4  l'indirizzo completo di un sito, l'indirizzo d...   \n",
              "\n",
              "                           folder_lv1 folder_lv2 folder_lv3 Brand/Non-branded  \\\n",
              "0                        proxy-server                             Non-branded   \n",
              "1                         web-archive                             Non-branded   \n",
              "2                         web-archive                             Non-branded   \n",
              "3                                gdpr                             Non-branded   \n",
              "4  come-trovare-indirizzo-ip-sito-web                             Non-branded   \n",
              "\n",
              "                                           tag title  \\\n",
              "0                                                      \n",
              "1  Cos’è Web Archive? Scopri i suoi utilizzi pratici   \n",
              "2  Cos’è Web Archive? Scopri i suoi utilizzi pratici   \n",
              "3                                                      \n",
              "4                                                      \n",
              "\n",
              "                                          check  \n",
              "0                                          N.A.  \n",
              "1  Missing 3: web.archive, webarchive, internet  \n",
              "2  Missing 3: web.archive, webarchive, internet  \n",
              "3                                          N.A.  \n",
              "4                                          N.A.  "
            ]
          },
          "execution_count": 135,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# Funzione per verificare la presenza delle parole chiave\n",
        "def check_keywords_in_title(row):\n",
        "    # Rimuovi la punteggiatura dalle parole chiave e convertile in minuscolo, poi rimuovi le stopwords.\n",
        "    keywords = set(word.lower().strip(string.punctuation) for phrase in row['top_5_queries'].split(',') \n",
        "                   for word in phrase.lower().split() if word.lower().strip(string.punctuation) not in stopwords)\n",
        "    \n",
        "    # Rimuovi la punteggiatura dal titolo, convertilo in minuscolo e rimuovi le stopwords.\n",
        "    title_words = set(word.lower().strip(string.punctuation) for word in row['tag title'].split() \n",
        "                      if word.lower().strip(string.punctuation) not in stopwords) \\\n",
        "                  if pd.notnull(row['tag title']) else set()\n",
        "    \n",
        "    # Se il titolo è vuoto, restituisci 'N.A.'\n",
        "    if not title_words:\n",
        "        return 'N.A.'\n",
        "\n",
        "    # Trova quali parole chiave mancano nel titolo\n",
        "    missing = keywords - title_words\n",
        "\n",
        "    # Restituisci il risultato appropriato\n",
        "    if not missing:\n",
        "        return 'Ok'\n",
        "    else:\n",
        "        return f\"Missing {len(missing)}: {', '.join(missing)}\"\n",
        "\n",
        "# Applica la funzione a ciascuna riga del DataFrame e crea la colonna 'check'\n",
        "merged_df7['check'] = merged_df7.apply(check_keywords_in_title, axis=1)\n",
        "\n",
        "# Mostra le prime righe per confermare che la colonna 'check' è stata creata correttamente\n",
        "merged_df7.head()\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 136,
      "metadata": {},
      "outputs": [],
      "source": [
        "# riorganizza colonne del foglio \"Check tag title\"\n",
        "# Crea una lista delle colonne nell'ordine desiderato\n",
        "column_order = [\"query\", \"page\", \"clicks\", \"impressions\", \"position\", \"ctr\",\"website_avg_ctr_by_pos\",\"comparison\", \"Brand/Non-branded\",\"top_5_queries\",\"tag title\",\"check\",]\n",
        "merged_df8 = merged_df7.reindex(columns=column_order)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 137,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "l4p0DYQy2_Y4",
        "outputId": "7681f890-e40f-4fd5-bb8f-baf350256f5e"
      },
      "outputs": [
        {
          "data": {
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              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>query</th>\n",
              "      <th>page</th>\n",
              "      <th>clicks</th>\n",
              "      <th>impressions</th>\n",
              "      <th>position</th>\n",
              "      <th>ctr</th>\n",
              "      <th>website_avg_ctr_by_pos</th>\n",
              "      <th>comparison</th>\n",
              "      <th>Brand/Non-branded</th>\n",
              "      <th>top_5_queries</th>\n",
              "      <th>tag title</th>\n",
              "      <th>tag title len</th>\n",
              "      <th>check</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>proxy</td>\n",
              "      <td>https://www.evemilano.com/proxy-server/</td>\n",
              "      <td>0</td>\n",
              "      <td>3810</td>\n",
              "      <td>8</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>0.13%</td>\n",
              "      <td>lower</td>\n",
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              "      <td>proxy, proxy significato, proxy server, proxy ...</td>\n",
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              "      <th>1</th>\n",
              "      <td>web archive</td>\n",
              "      <td>https://www.evemilano.com/web-archive/</td>\n",
              "      <td>16</td>\n",
              "      <td>3735</td>\n",
              "      <td>4</td>\n",
              "      <td>0.43%</td>\n",
              "      <td>0.97%</td>\n",
              "      <td>lower</td>\n",
              "      <td>Non-branded</td>\n",
              "      <td>web archive, webarchive, archive web, internet...</td>\n",
              "      <td>Cos’è Web Archive? Scopri i suoi utilizzi pratici</td>\n",
              "      <td>49</td>\n",
              "      <td>Missing 3: web.archive, webarchive, internet</td>\n",
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              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>webarchive</td>\n",
              "      <td>https://www.evemilano.com/web-archive/</td>\n",
              "      <td>8</td>\n",
              "      <td>2479</td>\n",
              "      <td>4</td>\n",
              "      <td>0.32%</td>\n",
              "      <td>0.97%</td>\n",
              "      <td>lower</td>\n",
              "      <td>Non-branded</td>\n",
              "      <td>web archive, webarchive, archive web, internet...</td>\n",
              "      <td>Cos’è Web Archive? Scopri i suoi utilizzi pratici</td>\n",
              "      <td>49</td>\n",
              "      <td>Missing 3: web.archive, webarchive, internet</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "         query                                     page  clicks  impressions  \\\n",
              "0        proxy  https://www.evemilano.com/proxy-server/       0         3810   \n",
              "1  web archive   https://www.evemilano.com/web-archive/      16         3735   \n",
              "2   webarchive   https://www.evemilano.com/web-archive/       8         2479   \n",
              "\n",
              "   position   ctr  website_avg_ctr_by_pos comparison Brand/Non-branded  \\\n",
              "0         8 0.00%                   0.13%      lower       Non-branded   \n",
              "1         4 0.43%                   0.97%      lower       Non-branded   \n",
              "2         4 0.32%                   0.97%      lower       Non-branded   \n",
              "\n",
              "                                       top_5_queries  \\\n",
              "0  proxy, proxy significato, proxy server, proxy ...   \n",
              "1  web archive, webarchive, archive web, internet...   \n",
              "2  web archive, webarchive, archive web, internet...   \n",
              "\n",
              "                                           tag title  tag title len  \\\n",
              "0                                                                 0   \n",
              "1  Cos’è Web Archive? Scopri i suoi utilizzi pratici             49   \n",
              "2  Cos’è Web Archive? Scopri i suoi utilizzi pratici             49   \n",
              "\n",
              "                                          check  \n",
              "0                                          N.A.  \n",
              "1  Missing 3: web.archive, webarchive, internet  \n",
              "2  Missing 3: web.archive, webarchive, internet  "
            ]
          },
          "execution_count": 137,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# conta caratteri\n",
        "# Creare la nuova colonna \"tag title length\" con la lunghezza della stringa in \"tag title\"\n",
        "merged_df8.insert(merged_df8.columns.get_loc(\"tag title\")+1, \"tag title len\", merged_df8[\"tag title\"].apply(lambda x: len(str(x))))\n",
        "merged_df8.head(3)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 138,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "yppDziF_3MIP",
        "outputId": "0d438ce8-8157-409f-f7f5-741971bff6d9"
      },
      "outputs": [],
      "source": [
        "# ottieni tag title da gpt\n",
        "#################################\n",
        "# setup richiesta gtp\n",
        "# nuovo dataframe\n",
        "merged_df8b = merged_df8.copy()\n",
        "\n",
        "# creo dizionario delle risposte di gpt per evitare chiamate doppie\n",
        "gpt_responses = {}\n",
        "# Inizializza un contatore per il numero totale di token\n",
        "total_tokens_used = 0\n",
        "# Inizializza un contatore per le chiamate API effettive\n",
        "actual_api_calls = 0\n",
        "\n",
        "def improve_tag_title(row, gpt_responses):\n",
        "    global total_tokens_used  , actual_api_calls      \n",
        "    top_5_queries = row['top_5_queries']\n",
        "\n",
        "    # Ottieni il tag title e l'URL dalla riga corrente\n",
        "    tag_title = row[\"tag title\"]\n",
        "    page_url = row[\"page\"]\n",
        "\n",
        "    # Controllo se tag_title è presente e non vuoto\n",
        "    if not tag_title:\n",
        "        return None\n",
        "\n",
        "    # Controllo per saltare la chiamata GPT quando comparison è 'greater' o check è 'Ok'\n",
        "    #if row[\"comparison\"] == \"greater\" or \"Missing\" not in row[\"check\"]:\n",
        "    #    #return row[\"tag title\"]\n",
        "    #    return None\n",
        "\n",
        "    # Verifica se l'URL è già stato processato\n",
        "    if page_url in gpt_responses:\n",
        "        return gpt_responses[page_url]  # Usa il tag title migliorato se disponibile\n",
        "\n",
        "    prompt = (      \n",
        "        f\"Sto cercando di migliorare il tag title per una pagina web. Il tag title attuale è: {tag_title}.\\n\"\n",
        "        f\"Le parole chiave più importanti e pertinenti alla pagina sono: {top_5_queries}.\\n\"\n",
        "        f\"Crea un nuovo tag title in {language} che incorpori queste parole chiave in modo naturale e coinvolgente. Il tag title dovrebbe:\\n\"\n",
        "        f\"1) avere al massimo 65 caratteri, spazi inclusi. Assicurati che la tua risposta non superi questo limite.\\n\"\n",
        "        f\"2) non includere il nome del brand.\\n\"\n",
        "        f\"3) non utilizzare lettere maiuscole inutili, simboli, apici o virgolette.\\n\"\n",
        "        f\"4) essere presentato da solo, senza alcuna spiegazione o contenuto aggiuntivo.\\n\"\n",
        "        f\"Per favore, segui scrupolosamente tutte queste regole nella tua risposta. Se non sei sicuro, conferma che hai seguito tutte le regole nel tuo messaggio.\"\n",
        "    )\n",
        "\n",
        "    try:\n",
        "        # Modifica la struttura dell'input per utilizzare il formato chat\n",
        "        response = openai.ChatCompletion.create(\n",
        "\n",
        "        #response = client.completion.create(\n",
        "            model=\"gpt-4\",\n",
        "            messages=[\n",
        "                {\"role\": \"system\", \"content\": \"Comportati come se fossi un SEO copywriter professionista.\"},\n",
        "                {\"role\": \"user\", \"content\": prompt}\n",
        "            ],\n",
        "            max_tokens=1000,\n",
        "            temperature=0.4,\n",
        "            top_p=1,\n",
        "            frequency_penalty=0.1,\n",
        "            presence_penalty=0.1\n",
        "        )\n",
        "         # Aggiungi il numero di token utilizzati per questa risposta al totale\n",
        "        total_tokens_used += response['usage']['total_tokens'] \n",
        "        actual_api_calls += 1  # Incrementa il contatore per le chiamate API effettive\n",
        "\n",
        "    # eccezioni errori gpt\n",
        "    except Exception as e:\n",
        "        print(f\"Error occured while calling OpenAI API: {e}\")\n",
        "        return None\n",
        "\n",
        "    improved_tag_title = response.choices[0].message.content.strip().lower()\n",
        "    #gpt_responses[tag_title] = improved_tag_title\n",
        "    # modifica per usare come chiave di confronto l'URL\n",
        "    gpt_responses[page_url] = improved_tag_title\n",
        "\n",
        "# SLEEP\n",
        "    time.sleep(1)\n",
        "    #time.sleep(5)\n",
        "    return improved_tag_title"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 139,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Processed row 1/211 | 2023-11-29 21:09:32 | 0 tokens.Error occured while calling OpenAI API: \n",
            "\n",
            "You tried to access openai.ChatCompletion, but this is no longer supported in openai>=1.0.0 - see the README at https://github.com/openai/openai-python for the API.\n",
            "\n",
            "You can run `openai migrate` to automatically upgrade your codebase to use the 1.0.0 interface. \n",
            "\n",
            "Alternatively, you can pin your installation to the old version, e.g. `pip install openai==0.28`\n",
            "\n",
            "A detailed migration guide is available here: https://github.com/openai/openai-python/discussions/742\n",
            "\n",
            "Processed row 211/211 | 2023-11-29 21:09:32 | 0 tokens.\n",
            "Total tokens used: 0\n",
            "Actual API calls made: 0\n"
          ]
        }
      ],
      "source": [
        "# chiamate API gpt\n",
        "# Dopo la definizione della funzione, esegui il loop per migliorare i tag title\n",
        "merged_df8b.reset_index(drop=True, inplace=True)\n",
        "processed_rows = 0\n",
        "\n",
        "for index, row in merged_df8b.iterrows():\n",
        "    # Passa la riga corrente e il dizionario delle risposte a improve_tag_title\n",
        "    new_tag_title = improve_tag_title(row, gpt_responses)\n",
        "\n",
        "    # Assegna il nuovo tag title alla riga corrente\n",
        "    merged_df8b.at[index, \"new tag title\"] = new_tag_title\n",
        "    # Aggiorna il dizionario gpt_responses con la risposta ricevuta\n",
        "    gpt_responses[row[\"page\"]] = new_tag_title\n",
        "    # Stampa il progresso\n",
        "    #print(f\"\\rProcessed row {index+1}/{len(merged_df8b)} | {datetime.now().strftime('%Y-%m-%d %H:%M:%S')} | {total_tokens_used} tokens.\", end=\"\", flush=True)\n",
        "    processed_rows += 1  # Incrementa il contatore di righe processate\n",
        "    print(f\"\\rProcessed row {processed_rows}/{len(merged_df8b)} | {datetime.now().strftime('%Y-%m-%d %H:%M:%S')} | {total_tokens_used} tokens.\", end=\"\", flush=True)\n",
        "\n",
        "# Aggiungi qui il nuovo blocco di codice per assicurarti di aggiornare tutte le righe\n",
        "for index, row in merged_df8b.iterrows():\n",
        "    page_url = row[\"page\"]\n",
        "    if page_url in gpt_responses:\n",
        "        merged_df8b.at[index, \"new tag title\"] = gpt_responses[page_url]\n",
        "\n",
        "\n",
        "# Stampa il totale dei token utilizzati\n",
        "print(f\"\\nTotal tokens used: {total_tokens_used}\")\n",
        "print(f\"Actual API calls made: {actual_api_calls}\")\n",
        "\n",
        "# https://platform.openai.com/account/usage"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 140,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Somma totale dei clicks: 218\n",
            "Somma totale delle impressions: 63702\n"
          ]
        },
        {
          "data": {
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              "      <td>Missing 3: web.archive, webarchive, internet</td>\n",
              "      <td>None</td>\n",
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            "text/plain": [
              "         query                                     page  clicks  impressions  \\\n",
              "0        proxy  https://www.evemilano.com/proxy-server/       0         3810   \n",
              "1  web archive   https://www.evemilano.com/web-archive/      16         3735   \n",
              "2   webarchive   https://www.evemilano.com/web-archive/       8         2479   \n",
              "\n",
              "   position   ctr  website_avg_ctr_by_pos comparison Brand/Non-branded  \\\n",
              "0         8 0.00%                   0.13%      lower       Non-branded   \n",
              "1         4 0.43%                   0.97%      lower       Non-branded   \n",
              "2         4 0.32%                   0.97%      lower       Non-branded   \n",
              "\n",
              "                                       top_5_queries  \\\n",
              "0  proxy, proxy significato, proxy server, proxy ...   \n",
              "1  web archive, webarchive, archive web, internet...   \n",
              "2  web archive, webarchive, archive web, internet...   \n",
              "\n",
              "                                           tag title  tag title len  \\\n",
              "0                                                                 0   \n",
              "1  Cos’è Web Archive? Scopri i suoi utilizzi pratici             49   \n",
              "2  Cos’è Web Archive? Scopri i suoi utilizzi pratici             49   \n",
              "\n",
              "                                          check new tag title  \n",
              "0                                          N.A.          None  \n",
              "1  Missing 3: web.archive, webarchive, internet          None  \n",
              "2  Missing 3: web.archive, webarchive, internet          None  "
            ]
          },
          "execution_count": 140,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# ordina le colonne del foglio check tag title\n",
        "column_order3 = [\n",
        "    \"query\",\n",
        "    \"page\",\n",
        "    \"clicks\",\n",
        "    \"impressions\",\n",
        "    \"position\",\n",
        "    \"ctr\",\n",
        "    \"website_avg_ctr_by_pos\",\n",
        "    \"comparison\",\n",
        "    \"Brand/Non-branded\",\n",
        "    \"top_5_queries\",\n",
        "    \"tag title\",\n",
        "    \"tag title len\",\n",
        "    \"check\",\n",
        "    \"new tag title\"\n",
        "]\n",
        "# reindex\n",
        "merged_df9 = merged_df8b.reindex(columns=column_order3)\n",
        "\n",
        "\n",
        "# Stampa la somma totale dei clicks e delle impressions\n",
        "total_clicks = merged_df9['clicks'].sum()\n",
        "total_impressions = merged_df9['impressions'].sum()\n",
        "\n",
        "print(\"Somma totale dei clicks:\", total_clicks)\n",
        "print(\"Somma totale delle impressions:\", total_impressions)\n",
        "merged_df9.head(3)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 141,
      "metadata": {},
      "outputs": [],
      "source": [
        "# Pulizia new tag title\n",
        "def clean_and_capitalize(x):\n",
        "    if pd.isna(x) or x is None:\n",
        "        return None\n",
        "    else:\n",
        "        # Rimuovi eventuali virgolette singole e doppie e converti la prima lettera di ogni parola in maiuscolo\n",
        "        x = x.replace('\"', '').replace(\"'\", '').capitalize()\n",
        "        # Rimuovi eventuali segni di punteggiatura alla fine della stringa (compresi i punti)\n",
        "        x = x.rstrip(string.punctuation.replace('.', ''))\n",
        "        return x\n",
        "\n",
        "merged_df9['new tag title'] = merged_df9['new tag title'].apply(clean_and_capitalize)\n",
        "#display(merged_df9)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 142,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "1lzLXAgX4OVt",
        "outputId": "0ee30891-2fca-455b-db85-a1fd65d79c1b"
      },
      "outputs": [],
      "source": [
        "# Conta caratteri new tag title\n",
        "# Creare la nuova colonna \"tag title length\" con la lunghezza della stringa in \"tag title\"\n",
        "merged_df9b=merged_df9.copy()\n",
        "merged_df9b.insert(merged_df9b.columns.get_loc(\"new tag title\")+1, \"new tag title len\", merged_df9b[\"new tag title\"].apply(lambda x: len(str(x))))\n",
        "#merged_df9b.head(5)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 143,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "7qjtrcUY5WDQ",
        "outputId": "123dffe0-72c6-4005-c3ea-9bb81d4a9049"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Somma totale dei clicks: 218\n",
            "Somma totale delle impressions: 63702\n"
          ]
        },
        {
          "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>query</th>\n",
              "      <th>page</th>\n",
              "      <th>clicks</th>\n",
              "      <th>impressions</th>\n",
              "      <th>position</th>\n",
              "      <th>ctr</th>\n",
              "      <th>website_avg_ctr_by_pos</th>\n",
              "      <th>comparison</th>\n",
              "      <th>top_5_queries</th>\n",
              "      <th>tag title</th>\n",
              "      <th>tag title len</th>\n",
              "      <th>check</th>\n",
              "      <th>new tag title</th>\n",
              "      <th>new tag title len</th>\n",
              "      <th>diff</th>\n",
              "      <th>diff_check</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>proxy</td>\n",
              "      <td>https://www.evemilano.com/proxy-server/</td>\n",
              "      <td>0</td>\n",
              "      <td>3810</td>\n",
              "      <td>8</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>0.13%</td>\n",
              "      <td>lower</td>\n",
              "      <td>proxy, proxy significato, proxy server, proxy ...</td>\n",
              "      <td></td>\n",
              "      <td>0</td>\n",
              "      <td>N.A.</td>\n",
              "      <td>None</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>N.A.</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>web archive</td>\n",
              "      <td>https://www.evemilano.com/web-archive/</td>\n",
              "      <td>16</td>\n",
              "      <td>3735</td>\n",
              "      <td>4</td>\n",
              "      <td>0.43%</td>\n",
              "      <td>0.97%</td>\n",
              "      <td>lower</td>\n",
              "      <td>web archive, webarchive, archive web, internet...</td>\n",
              "      <td>Cos’è Web Archive? Scopri i suoi utilizzi pratici</td>\n",
              "      <td>49</td>\n",
              "      <td>Missing 3: web.archive, webarchive, internet</td>\n",
              "      <td>None</td>\n",
              "      <td>4</td>\n",
              "      <td>-45</td>\n",
              "      <td>N.A.</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>webarchive</td>\n",
              "      <td>https://www.evemilano.com/web-archive/</td>\n",
              "      <td>8</td>\n",
              "      <td>2479</td>\n",
              "      <td>4</td>\n",
              "      <td>0.32%</td>\n",
              "      <td>0.97%</td>\n",
              "      <td>lower</td>\n",
              "      <td>web archive, webarchive, archive web, internet...</td>\n",
              "      <td>Cos’è Web Archive? Scopri i suoi utilizzi pratici</td>\n",
              "      <td>49</td>\n",
              "      <td>Missing 3: web.archive, webarchive, internet</td>\n",
              "      <td>None</td>\n",
              "      <td>4</td>\n",
              "      <td>-45</td>\n",
              "      <td>N.A.</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>gdpr significato</td>\n",
              "      <td>https://www.evemilano.com/gdpr/</td>\n",
              "      <td>0</td>\n",
              "      <td>2420</td>\n",
              "      <td>8</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>0.13%</td>\n",
              "      <td>lower</td>\n",
              "      <td>gdpr significato, gdpr acronimo, gdpr, gdpr, a...</td>\n",
              "      <td></td>\n",
              "      <td>0</td>\n",
              "      <td>N.A.</td>\n",
              "      <td>None</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>N.A.</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>l'indirizzo completo di un sito</td>\n",
              "      <td>https://www.evemilano.com/come-trovare-indiriz...</td>\n",
              "      <td>0</td>\n",
              "      <td>1681</td>\n",
              "      <td>9</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>0.22%</td>\n",
              "      <td>lower</td>\n",
              "      <td>l'indirizzo completo di un sito, l'indirizzo d...</td>\n",
              "      <td></td>\n",
              "      <td>0</td>\n",
              "      <td>N.A.</td>\n",
              "      <td>None</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>N.A.</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>206</th>\n",
              "      <td>google advertising</td>\n",
              "      <td>https://www.evemilano.com/pubblicita-google/</td>\n",
              "      <td>0</td>\n",
              "      <td>101</td>\n",
              "      <td>94</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>equal</td>\n",
              "      <td>pubblicità su google, pubblicità google, googl...</td>\n",
              "      <td></td>\n",
              "      <td>0</td>\n",
              "      <td>N.A.</td>\n",
              "      <td>None</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>N.A.</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>207</th>\n",
              "      <td>servizio link building</td>\n",
              "      <td>https://www.evemilano.com/servizi-seo/link-bui...</td>\n",
              "      <td>0</td>\n",
              "      <td>101</td>\n",
              "      <td>27</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>equal</td>\n",
              "      <td>link building, agenzia link building, servizio...</td>\n",
              "      <td></td>\n",
              "      <td>0</td>\n",
              "      <td>N.A.</td>\n",
              "      <td>None</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>N.A.</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>208</th>\n",
              "      <td>alerts</td>\n",
              "      <td>https://www.evemilano.com/google-alerts/</td>\n",
              "      <td>0</td>\n",
              "      <td>101</td>\n",
              "      <td>13</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>0.30%</td>\n",
              "      <td>lower</td>\n",
              "      <td>alerts</td>\n",
              "      <td></td>\n",
              "      <td>0</td>\n",
              "      <td>N.A.</td>\n",
              "      <td>None</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>N.A.</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>209</th>\n",
              "      <td>gestione blog aziendale</td>\n",
              "      <td>https://www.evemilano.com/blog-aziendali-wordp...</td>\n",
              "      <td>0</td>\n",
              "      <td>100</td>\n",
              "      <td>39</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>0.95%</td>\n",
              "      <td>lower</td>\n",
              "      <td>blog aziendale, blog aziendali, gestione blog ...</td>\n",
              "      <td></td>\n",
              "      <td>0</td>\n",
              "      <td>N.A.</td>\n",
              "      <td>None</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>N.A.</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>210</th>\n",
              "      <td>gestione google ads</td>\n",
              "      <td>https://www.evemilano.com/pubblicita-google/ge...</td>\n",
              "      <td>0</td>\n",
              "      <td>100</td>\n",
              "      <td>47</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>equal</td>\n",
              "      <td>gestione campagne adwords, gestione campagne g...</td>\n",
              "      <td></td>\n",
              "      <td>0</td>\n",
              "      <td>N.A.</td>\n",
              "      <td>None</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>N.A.</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>211 rows × 16 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                               query  \\\n",
              "0                              proxy   \n",
              "1                        web archive   \n",
              "2                         webarchive   \n",
              "3                   gdpr significato   \n",
              "4    l'indirizzo completo di un sito   \n",
              "..                               ...   \n",
              "206               google advertising   \n",
              "207           servizio link building   \n",
              "208                           alerts   \n",
              "209          gestione blog aziendale   \n",
              "210              gestione google ads   \n",
              "\n",
              "                                                  page  clicks  impressions  \\\n",
              "0              https://www.evemilano.com/proxy-server/       0         3810   \n",
              "1               https://www.evemilano.com/web-archive/      16         3735   \n",
              "2               https://www.evemilano.com/web-archive/       8         2479   \n",
              "3                      https://www.evemilano.com/gdpr/       0         2420   \n",
              "4    https://www.evemilano.com/come-trovare-indiriz...       0         1681   \n",
              "..                                                 ...     ...          ...   \n",
              "206       https://www.evemilano.com/pubblicita-google/       0          101   \n",
              "207  https://www.evemilano.com/servizi-seo/link-bui...       0          101   \n",
              "208           https://www.evemilano.com/google-alerts/       0          101   \n",
              "209  https://www.evemilano.com/blog-aziendali-wordp...       0          100   \n",
              "210  https://www.evemilano.com/pubblicita-google/ge...       0          100   \n",
              "\n",
              "     position   ctr  website_avg_ctr_by_pos comparison  \\\n",
              "0           8 0.00%                   0.13%      lower   \n",
              "1           4 0.43%                   0.97%      lower   \n",
              "2           4 0.32%                   0.97%      lower   \n",
              "3           8 0.00%                   0.13%      lower   \n",
              "4           9 0.00%                   0.22%      lower   \n",
              "..        ...   ...                     ...        ...   \n",
              "206        94 0.00%                   0.00%      equal   \n",
              "207        27 0.00%                   0.00%      equal   \n",
              "208        13 0.00%                   0.30%      lower   \n",
              "209        39 0.00%                   0.95%      lower   \n",
              "210        47 0.00%                   0.00%      equal   \n",
              "\n",
              "                                         top_5_queries  \\\n",
              "0    proxy, proxy significato, proxy server, proxy ...   \n",
              "1    web archive, webarchive, archive web, internet...   \n",
              "2    web archive, webarchive, archive web, internet...   \n",
              "3    gdpr significato, gdpr acronimo, gdpr, gdpr, a...   \n",
              "4    l'indirizzo completo di un sito, l'indirizzo d...   \n",
              "..                                                 ...   \n",
              "206  pubblicità su google, pubblicità google, googl...   \n",
              "207  link building, agenzia link building, servizio...   \n",
              "208                                             alerts   \n",
              "209  blog aziendale, blog aziendali, gestione blog ...   \n",
              "210  gestione campagne adwords, gestione campagne g...   \n",
              "\n",
              "                                             tag title  tag title len  \\\n",
              "0                                                                   0   \n",
              "1    Cos’è Web Archive? Scopri i suoi utilizzi pratici             49   \n",
              "2    Cos’è Web Archive? Scopri i suoi utilizzi pratici             49   \n",
              "3                                                                   0   \n",
              "4                                                                   0   \n",
              "..                                                 ...            ...   \n",
              "206                                                                 0   \n",
              "207                                                                 0   \n",
              "208                                                                 0   \n",
              "209                                                                 0   \n",
              "210                                                                 0   \n",
              "\n",
              "                                            check new tag title  \\\n",
              "0                                            N.A.          None   \n",
              "1    Missing 3: web.archive, webarchive, internet          None   \n",
              "2    Missing 3: web.archive, webarchive, internet          None   \n",
              "3                                            N.A.          None   \n",
              "4                                            N.A.          None   \n",
              "..                                            ...           ...   \n",
              "206                                          N.A.          None   \n",
              "207                                          N.A.          None   \n",
              "208                                          N.A.          None   \n",
              "209                                          N.A.          None   \n",
              "210                                          N.A.          None   \n",
              "\n",
              "     new tag title len  diff diff_check  \n",
              "0                    4     4       N.A.  \n",
              "1                    4   -45       N.A.  \n",
              "2                    4   -45       N.A.  \n",
              "3                    4     4       N.A.  \n",
              "4                    4     4       N.A.  \n",
              "..                 ...   ...        ...  \n",
              "206                  4     4       N.A.  \n",
              "207                  4     4       N.A.  \n",
              "208                  4     4       N.A.  \n",
              "209                  4     4       N.A.  \n",
              "210                  4     4       N.A.  \n",
              "\n",
              "[211 rows x 16 columns]"
            ]
          },
          "execution_count": 143,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# Calcolo differenza tag title\n",
        "merged_df10 = merged_df9b.copy()\n",
        "merged_df10.insert(merged_df10.columns.get_loc(\"new tag title len\") + 1, \"diff\", merged_df10[\"new tag title len\"] - merged_df10[\"tag title len\"])\n",
        "\n",
        "# aggiungi colonna diff_check shorter longer\n",
        "\n",
        "# analisi dei nuovi tag title e creazione etichetta diff_check\n",
        "def apply_label(row):\n",
        "    # Aggiungere il controllo per verificare che entrambi i titoli siano stringhe non vuote.\n",
        "    if pd.notnull(row['tag title']) and row['tag title'].strip() and \\\n",
        "       pd.notnull(row['new tag title']) and row['new tag title'].strip():\n",
        "        tag_title_len = row['tag title len']\n",
        "        new_tag_title_len = row['new tag title len']\n",
        "\n",
        "        if tag_title_len > 70 and 45 <= new_tag_title_len <= 70:\n",
        "            return \"From Long to Opt\"\n",
        "        elif tag_title_len < 45 and 45 <= new_tag_title_len <= 70:\n",
        "            return \"From Short to Opt\"\n",
        "        elif 45 <= tag_title_len <= 70 and 45 <= new_tag_title_len <= 70:\n",
        "            return \"From Opt to Opt\"\n",
        "        elif tag_title_len > 70 and new_tag_title_len > 70:\n",
        "            return \"From Long to Long\"\n",
        "        elif tag_title_len < 45 and new_tag_title_len > 70:\n",
        "            return \"From Short to Long\"\n",
        "        elif 45 <= tag_title_len <= 70 and new_tag_title_len > 70:\n",
        "            return \"From Opt to Long\"\n",
        "        elif tag_title_len > 70 and new_tag_title_len < 45:\n",
        "            return \"From Long to Short\"\n",
        "        elif tag_title_len < 45 and new_tag_title_len < 45:\n",
        "            return \"From Short to Short\"\n",
        "        elif 45 <= tag_title_len <= 70 and new_tag_title_len < 45:\n",
        "            return \"From Opt to Short\"\n",
        "    # Se una delle colonne è vuota, restituisci \"Unlabeled\" o un altro valore appropriato.\n",
        "    return \"N.A.\"\n",
        "\n",
        "# Applica la funzione solo alle righe con valori non vuoti per le colonne specificate\n",
        "merged_df10['diff_check'] = merged_df10.apply(apply_label, axis=1)\n",
        "\n",
        "\n",
        "# pulizia colonne inutili\n",
        "merged_df10 = merged_df10.drop(columns=['Brand/Non-branded'])\n",
        "\n",
        "# Stampa la somma totale dei clicks e delle impressions\n",
        "total_clicks = merged_df10['clicks'].sum()\n",
        "total_impressions = merged_df10['impressions'].sum()\n",
        "\n",
        "print(\"Somma totale dei clicks:\", total_clicks)\n",
        "print(\"Somma totale delle impressions:\", total_impressions)\n",
        "merged_df10\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 144,
      "metadata": {},
      "outputs": [],
      "source": [
        "# test 1 pytorch\n",
        "df_torch = merged_df10.copy()\n",
        "\n",
        "if previsioni == 'si':\n",
        "    import torch\n",
        "    import torch.nn as nn\n",
        "    import torch.optim as optim\n",
        "    from torch.utils.data import Dataset, DataLoader\n",
        "    from sklearn.model_selection import train_test_split\n",
        "    from sklearn.preprocessing import StandardScaler\n",
        "\n",
        "    # Preparazione dei dati\n",
        "    # Estrae le colonne 'impressions', 'position', 'ctr' come input e 'clicks' come target\n",
        "    data = df_torch[['impressions','position','ctr']].values\n",
        "    target = df_torch['clicks'].values\n",
        "\n",
        "    # Normalizzazione dei dati e del target\n",
        "    # È importante normalizzare i dati per migliorare le prestazioni e la stabilità dell'addestramento del modello\n",
        "    scaler_x = StandardScaler()\n",
        "    scaler_y = StandardScaler()\n",
        "    # Applicazione della normalizzazione\n",
        "    data = scaler_x.fit_transform(data)\n",
        "    target = scaler_y.fit_transform(target.reshape(-1, 1))\n",
        "\n",
        "    # Divisione dei dati in set di addestramento e di test\n",
        "    # Il 70% dei dati viene utilizzato per l'addestramento, il 30% per il test\n",
        "    data_train, data_test, target_train, target_test = train_test_split(data, target, test_size=0.3, random_state=42)\n",
        "\n",
        "    # Questa classe consente di gestire facilmente i dati durante l'addestramento e il test\n",
        "    class ClickPredictionDataset(Dataset):\n",
        "        def __init__(self, data, target):\n",
        "            self.data = torch.FloatTensor(data)\n",
        "            self.target = torch.FloatTensor(target)\n",
        "\n",
        "        def __len__(self):\n",
        "            return len(self.data)\n",
        "\n",
        "        def __getitem__(self, idx):\n",
        "            return self.data[idx], self.target[idx]\n",
        "\n",
        "    # Creazione di istanze del dataset per addestramento e test\n",
        "    train_dataset = ClickPredictionDataset(data_train, target_train)\n",
        "    test_dataset = ClickPredictionDataset(data_test, target_test)\n",
        "    # Creazione dei DataLoader per gestire i batch di dati durante l'addestramento\n",
        "    train_dataloader = DataLoader(train_dataset, batch_size=100, shuffle=True)\n",
        "    test_dataloader = DataLoader(test_dataset, batch_size=100)\n",
        "\n",
        "    # Creazione del modello\n",
        "    # Definizione del modello di rete neurale\n",
        "    class ClickPredictionModel(nn.Module):\n",
        "        def __init__(self, input_size, hidden_size, output_size):\n",
        "            super(ClickPredictionModel, self).__init__()\n",
        "            self.fc1 = nn.Linear(input_size, hidden_size)  # 1 strato lineare\n",
        "            self.fc2 = nn.Linear(hidden_size, output_size)  # 2 strato lineare\n",
        "\n",
        "        def forward(self, x):\n",
        "            x = torch.relu(self.fc1(x)) # applicazione della funzione di attivazione ReLU\n",
        "            x = self.fc2(x) # output dal secondo strato\n",
        "            return x\n",
        "\n",
        "    # Impostazione delle dimensioni del modello\n",
        "    input_size = data.shape[1]\n",
        "    # \n",
        "    # hidden size 64, 128, 256, 512\n",
        "    hidden_size = 512\n",
        "    output_size = 1\n",
        "    model = ClickPredictionModel(input_size, hidden_size, output_size)\n",
        "\n",
        "    # Verifica se esiste un modello salvato da caricare\n",
        "    try:\n",
        "        model.load_state_dict(torch.load('model.pth'))\n",
        "        print(\"Model loaded successfully\")\n",
        "    except FileNotFoundError:\n",
        "        print(\"No previous model found, starting training from scratch\")\n",
        "    # Imposta il modello in modalità addestramento\n",
        "    model.train()  # Set the model to training mode\n",
        "\n",
        "    # Definizione della funzione di perdita e dell'ottimizzatore\n",
        "    criterion = nn.MSELoss() # Funzione di perdita Mean Squared Error\n",
        "    optimizer = optim.Adam(model.parameters(), lr=0.005) # Addestramento del modello\n",
        "    num_epochs = 100\n",
        "\n",
        "    for epoch in range(num_epochs):\n",
        "        # Fase di addestramento\n",
        "        # Training\n",
        "        model.train()\n",
        "        train_losses = []\n",
        "        for inputs, targets in train_dataloader:\n",
        "            # Forward pass\n",
        "            outputs = model(inputs)\n",
        "            loss = criterion(outputs, targets)\n",
        "\n",
        "            # Backward pass e ottimizzazione\n",
        "            optimizer.zero_grad()\n",
        "            loss.backward()\n",
        "            optimizer.step()\n",
        "\n",
        "            train_losses.append(loss.item())\n",
        "            \n",
        "        # Validation\n",
        "        # Fase di validazione\n",
        "        model.eval()\n",
        "        val_losses = []\n",
        "        with torch.no_grad():\n",
        "            for inputs, targets in test_dataloader:\n",
        "                outputs = model(inputs)\n",
        "                loss = criterion(outputs, targets)\n",
        "                val_losses.append(loss.item())\n",
        "            \n",
        "        if (epoch + 1) % 10 == 0:\n",
        "            print(f'Epoch: {epoch+1}, Training Loss: {np.mean(train_losses):.4f}, Validation Loss: {np.mean(val_losses):.4f}')\n",
        "\n",
        "    # Save the model\n",
        "    torch.save(model.state_dict(), 'model.pth')\n",
        "    model.eval()\n",
        "\n",
        "    # Creazione del set di dati per la posizione 1\n",
        "    data_pos1 = df_torch[['impressions','position','ctr']].copy()\n",
        "    data_pos1['position'] = 1\n",
        "    data_pos1 = scaler_x.transform(data_pos1.values)  # usa lo scaler già addestrato\n",
        "\n",
        "    # Previsione dei click per posizione 1\n",
        "    with torch.no_grad():\n",
        "        inputs = torch.FloatTensor(data_pos1)\n",
        "        predicted_clicks_pos1 = model(inputs).numpy()\n",
        "\n",
        "    # Aggiunta della colonna con la stima dei click per posizione 1 al dataframe\n",
        "    df_torch['estimated_clicks_pos1'] = scaler_y.inverse_transform(predicted_clicks_pos1)\n",
        "    df_torch['estimated_clicks_pos1'] = df_torch['estimated_clicks_pos1'].round().astype(int)\n",
        "    df_torch.head(10)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 145,
      "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>query</th>\n",
              "      <th>page</th>\n",
              "      <th>clicks</th>\n",
              "      <th>impressions</th>\n",
              "      <th>position</th>\n",
              "      <th>ctr</th>\n",
              "      <th>website_avg_ctr_by_pos</th>\n",
              "      <th>comparison</th>\n",
              "      <th>top_5_queries</th>\n",
              "      <th>tag title</th>\n",
              "      <th>tag title len</th>\n",
              "      <th>check</th>\n",
              "      <th>new tag title</th>\n",
              "      <th>new tag title len</th>\n",
              "      <th>diff</th>\n",
              "      <th>diff_check</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>proxy</td>\n",
              "      <td>https://www.evemilano.com/proxy-server/</td>\n",
              "      <td>0</td>\n",
              "      <td>3810</td>\n",
              "      <td>8</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>0.13%</td>\n",
              "      <td>lower</td>\n",
              "      <td>proxy, proxy significato, proxy server, proxy ...</td>\n",
              "      <td></td>\n",
              "      <td>0</td>\n",
              "      <td>N.A.</td>\n",
              "      <td>None</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>N.A.</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>web archive</td>\n",
              "      <td>https://www.evemilano.com/web-archive/</td>\n",
              "      <td>16</td>\n",
              "      <td>3735</td>\n",
              "      <td>4</td>\n",
              "      <td>0.43%</td>\n",
              "      <td>0.97%</td>\n",
              "      <td>lower</td>\n",
              "      <td>web archive, webarchive, archive web, internet...</td>\n",
              "      <td>Cos’è Web Archive? Scopri i suoi utilizzi pratici</td>\n",
              "      <td>49</td>\n",
              "      <td>Missing 3: web.archive, webarchive, internet</td>\n",
              "      <td>None</td>\n",
              "      <td>4</td>\n",
              "      <td>-45</td>\n",
              "      <td>N.A.</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>webarchive</td>\n",
              "      <td>https://www.evemilano.com/web-archive/</td>\n",
              "      <td>8</td>\n",
              "      <td>2479</td>\n",
              "      <td>4</td>\n",
              "      <td>0.32%</td>\n",
              "      <td>0.97%</td>\n",
              "      <td>lower</td>\n",
              "      <td>web archive, webarchive, archive web, internet...</td>\n",
              "      <td>Cos’è Web Archive? Scopri i suoi utilizzi pratici</td>\n",
              "      <td>49</td>\n",
              "      <td>Missing 3: web.archive, webarchive, internet</td>\n",
              "      <td>None</td>\n",
              "      <td>4</td>\n",
              "      <td>-45</td>\n",
              "      <td>N.A.</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>gdpr significato</td>\n",
              "      <td>https://www.evemilano.com/gdpr/</td>\n",
              "      <td>0</td>\n",
              "      <td>2420</td>\n",
              "      <td>8</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>0.13%</td>\n",
              "      <td>lower</td>\n",
              "      <td>gdpr significato, gdpr acronimo, gdpr, gdpr, a...</td>\n",
              "      <td></td>\n",
              "      <td>0</td>\n",
              "      <td>N.A.</td>\n",
              "      <td>None</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>N.A.</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>l'indirizzo completo di un sito</td>\n",
              "      <td>https://www.evemilano.com/come-trovare-indiriz...</td>\n",
              "      <td>0</td>\n",
              "      <td>1681</td>\n",
              "      <td>9</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>0.22%</td>\n",
              "      <td>lower</td>\n",
              "      <td>l'indirizzo completo di un sito, l'indirizzo d...</td>\n",
              "      <td></td>\n",
              "      <td>0</td>\n",
              "      <td>N.A.</td>\n",
              "      <td>None</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>N.A.</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>agenzia seo</td>\n",
              "      <td>https://www.evemilano.com/servizi-seo/agenzia/</td>\n",
              "      <td>0</td>\n",
              "      <td>1624</td>\n",
              "      <td>91</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>equal</td>\n",
              "      <td>agenzia seo, agenzia seo milano, agenzie seo m...</td>\n",
              "      <td></td>\n",
              "      <td>0</td>\n",
              "      <td>N.A.</td>\n",
              "      <td>None</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>N.A.</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>gdpr acronimo</td>\n",
              "      <td>https://www.evemilano.com/gdpr/</td>\n",
              "      <td>0</td>\n",
              "      <td>1420</td>\n",
              "      <td>10</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>0.15%</td>\n",
              "      <td>lower</td>\n",
              "      <td>gdpr significato, gdpr acronimo, gdpr, gdpr, a...</td>\n",
              "      <td></td>\n",
              "      <td>0</td>\n",
              "      <td>N.A.</td>\n",
              "      <td>None</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>N.A.</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>proxy significato</td>\n",
              "      <td>https://www.evemilano.com/proxy-server/</td>\n",
              "      <td>0</td>\n",
              "      <td>1199</td>\n",
              "      <td>9</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>0.22%</td>\n",
              "      <td>lower</td>\n",
              "      <td>proxy, proxy significato, proxy server, proxy ...</td>\n",
              "      <td></td>\n",
              "      <td>0</td>\n",
              "      <td>N.A.</td>\n",
              "      <td>None</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>N.A.</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>crawler</td>\n",
              "      <td>https://www.evemilano.com/spider/</td>\n",
              "      <td>0</td>\n",
              "      <td>955</td>\n",
              "      <td>12</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>0.13%</td>\n",
              "      <td>lower</td>\n",
              "      <td>crawler, che cos'è uno spider?, che cos'è uno ...</td>\n",
              "      <td></td>\n",
              "      <td>0</td>\n",
              "      <td>N.A.</td>\n",
              "      <td>None</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>N.A.</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>servizi seo</td>\n",
              "      <td>https://www.evemilano.com/servizi-seo/</td>\n",
              "      <td>0</td>\n",
              "      <td>878</td>\n",
              "      <td>15</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>0.13%</td>\n",
              "      <td>lower</td>\n",
              "      <td>servizi seo, consulenza seo, consulenza seo ma...</td>\n",
              "      <td></td>\n",
              "      <td>0</td>\n",
              "      <td>N.A.</td>\n",
              "      <td>None</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>N.A.</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                             query  \\\n",
              "0                            proxy   \n",
              "1                      web archive   \n",
              "2                       webarchive   \n",
              "3                 gdpr significato   \n",
              "4  l'indirizzo completo di un sito   \n",
              "5                      agenzia seo   \n",
              "6                    gdpr acronimo   \n",
              "7                proxy significato   \n",
              "8                          crawler   \n",
              "9                      servizi seo   \n",
              "\n",
              "                                                page  clicks  impressions  \\\n",
              "0            https://www.evemilano.com/proxy-server/       0         3810   \n",
              "1             https://www.evemilano.com/web-archive/      16         3735   \n",
              "2             https://www.evemilano.com/web-archive/       8         2479   \n",
              "3                    https://www.evemilano.com/gdpr/       0         2420   \n",
              "4  https://www.evemilano.com/come-trovare-indiriz...       0         1681   \n",
              "5     https://www.evemilano.com/servizi-seo/agenzia/       0         1624   \n",
              "6                    https://www.evemilano.com/gdpr/       0         1420   \n",
              "7            https://www.evemilano.com/proxy-server/       0         1199   \n",
              "8                  https://www.evemilano.com/spider/       0          955   \n",
              "9             https://www.evemilano.com/servizi-seo/       0          878   \n",
              "\n",
              "   position   ctr  website_avg_ctr_by_pos comparison  \\\n",
              "0         8 0.00%                   0.13%      lower   \n",
              "1         4 0.43%                   0.97%      lower   \n",
              "2         4 0.32%                   0.97%      lower   \n",
              "3         8 0.00%                   0.13%      lower   \n",
              "4         9 0.00%                   0.22%      lower   \n",
              "5        91 0.00%                   0.00%      equal   \n",
              "6        10 0.00%                   0.15%      lower   \n",
              "7         9 0.00%                   0.22%      lower   \n",
              "8        12 0.00%                   0.13%      lower   \n",
              "9        15 0.00%                   0.13%      lower   \n",
              "\n",
              "                                       top_5_queries  \\\n",
              "0  proxy, proxy significato, proxy server, proxy ...   \n",
              "1  web archive, webarchive, archive web, internet...   \n",
              "2  web archive, webarchive, archive web, internet...   \n",
              "3  gdpr significato, gdpr acronimo, gdpr, gdpr, a...   \n",
              "4  l'indirizzo completo di un sito, l'indirizzo d...   \n",
              "5  agenzia seo, agenzia seo milano, agenzie seo m...   \n",
              "6  gdpr significato, gdpr acronimo, gdpr, gdpr, a...   \n",
              "7  proxy, proxy significato, proxy server, proxy ...   \n",
              "8  crawler, che cos'è uno spider?, che cos'è uno ...   \n",
              "9  servizi seo, consulenza seo, consulenza seo ma...   \n",
              "\n",
              "                                           tag title  tag title len  \\\n",
              "0                                                                 0   \n",
              "1  Cos’è Web Archive? Scopri i suoi utilizzi pratici             49   \n",
              "2  Cos’è Web Archive? Scopri i suoi utilizzi pratici             49   \n",
              "3                                                                 0   \n",
              "4                                                                 0   \n",
              "5                                                                 0   \n",
              "6                                                                 0   \n",
              "7                                                                 0   \n",
              "8                                                                 0   \n",
              "9                                                                 0   \n",
              "\n",
              "                                          check new tag title  \\\n",
              "0                                          N.A.          None   \n",
              "1  Missing 3: web.archive, webarchive, internet          None   \n",
              "2  Missing 3: web.archive, webarchive, internet          None   \n",
              "3                                          N.A.          None   \n",
              "4                                          N.A.          None   \n",
              "5                                          N.A.          None   \n",
              "6                                          N.A.          None   \n",
              "7                                          N.A.          None   \n",
              "8                                          N.A.          None   \n",
              "9                                          N.A.          None   \n",
              "\n",
              "   new tag title len  diff diff_check  \n",
              "0                  4     4       N.A.  \n",
              "1                  4   -45       N.A.  \n",
              "2                  4   -45       N.A.  \n",
              "3                  4     4       N.A.  \n",
              "4                  4     4       N.A.  \n",
              "5                  4     4       N.A.  \n",
              "6                  4     4       N.A.  \n",
              "7                  4     4       N.A.  \n",
              "8                  4     4       N.A.  \n",
              "9                  4     4       N.A.  "
            ]
          },
          "execution_count": 145,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df_torch.head(10)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 146,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "okE0TzM3SYYw",
        "outputId": "5fe8de9c-4d5d-4ff6-f50d-0ffb95906a7c"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Saving pvt_spacy...\n",
            "Saving pvt_lemmy...\n",
            "Saving pvt_stem...\n",
            "Saving trending_folders...\n",
            "Saving raw_df...\n",
            "Saving query_pivot_tableP...\n",
            "Saving raw_dfP...\n",
            "Saving brand_count_df...\n",
            "Saving df_brand...\n",
            "Saving sorted_pivot...\n",
            "Saving query_analysis...\n",
            "Saving final_df...\n",
            "Saving cann_filtered_table...\n",
            "Saving df_improve...\n"
          ]
        },
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "C:\\Users\\Utente\\AppData\\Local\\Temp\\ipykernel_18224\\1599471423.py:38: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  df['page'] = df['page'].astype(str)\n"
          ]
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Saving df_torch...\n",
            "File output_file_name salvato in output/evemilano.com\\GSC_EXT_evemilano.com_18days_1crawls_20231129_2050.xlsx\n"
          ]
        }
      ],
      "source": [
        "# Salvataggio Export\n",
        "######################################################\n",
        "# Specifica il percorso completo del file di output\n",
        "filepath = os.path.join(new_output_dir, filename)\n",
        "# colleziona dataframe da esportare\n",
        "dataframes = {\n",
        "  'pvt_spacy' : 'Trending Topics',\n",
        "  'pvt_lemmy' : 'Trending Lemmas',\n",
        "  'pvt_stem' : 'Trending Stems',\n",
        "  'trending_folders':'Trending Folders',  \n",
        "  'raw_df': 'Raw data',\n",
        "  'query_pivot_tableP':'Query data',\n",
        "  'raw_dfP': 'URL data',\n",
        "  'brand_count_df': 'Brand table',\n",
        "  'df_brand': 'Brand queries',\n",
        "  'sorted_pivot': 'Pvt brand',\n",
        "  'query_analysis': 'CTR by pos',\n",
        "  'final_df': 'Main output',\n",
        "  'cann_filtered_table': 'Cannibal',\n",
        "  'df_improve': 'Improve',\n",
        "  'df_torch': 'Check title'\n",
        "}\n",
        "\n",
        "# Limite massimo di righe ed URL di Excel\n",
        "max_urls_in_sheets = 65530\n",
        "max_rows = 1048575\n",
        "\n",
        "# Esporta il DataFrame in un file Excel nella cartella di output\n",
        "with pd.ExcelWriter(filepath) as writer:\n",
        "    for df_name, sheet_name in dataframes.items():\n",
        "        print(f\"Saving {df_name}...\")\n",
        "        if df_name in locals():\n",
        "            df = locals()[df_name]\n",
        "            lunghezzatot = len(df)\n",
        "            \n",
        "            # Converti gli URL in stringhe nel DataFrame (modifica il nome della colonna qui)\n",
        "            if 'page' in df.columns:  \n",
        "                df['page'] = df['page'].astype(str)\n",
        "                url_count = df['page'].nunique() if 'page' in df.columns else 0\n",
        "\n",
        "                # Controlla il numero di URL e esporta in CSV se necessario\n",
        "                if url_count > max_urls_in_sheets:\n",
        "                    print('Exporting to CSV due to high URL count...')\n",
        "                    csv_filename = f\"{filename}_{sheet_name}.csv\"\n",
        "                    csv_filepath = os.path.join(new_output_dir, csv_filename)\n",
        "                    df.to_csv(csv_filepath, index=False)\n",
        "                    print(f\"DataFrame {df_name} with high URL count saved as CSV in {csv_filepath}\")\n",
        "                    continue  # Salta l'esportazione in Excel per questo DataFrame\n",
        "            \n",
        "            # Se il DataFrame ha più righe del limite massimo, troncalo al limite massimo\n",
        "            if len(df) > max_rows:\n",
        "                # esporta in csv i df troppo grandi\n",
        "                print('Exporting to CSV due to high ROW count...')\n",
        "                csv_filename = f\"{filename}_{sheet_name}.csv\"  # Nome del file CSV\n",
        "                csv_filepath = os.path.join(new_output_dir, csv_filename)  # Percorso del file CSV\n",
        "                df.to_csv(csv_filepath, index=False)  # Esporta in CSV\n",
        "                print(f\"Full DataFrame {df_name} saved as CSV in {csv_filepath}\")\n",
        "                #print(f\"Truncating {df_name} to the first {max_rows} rows on total {lunghezzatot}.\")\n",
        "                # formattazine migliaia\n",
        "                print(f\"Truncating {df_name} to the first {max_rows:,} rows on total {lunghezzatot:,}.\")\n",
        "                df = df.iloc[:max_rows]\n",
        "            index_option = True  # Imposta a True per i fogli con indice, False altrimenti\n",
        "            if sheet_name in ['Raw data', 'URL data', 'Brand queries', 'Main output', 'Improve', 'Check title',]:\n",
        "                index_option = False\n",
        "            df.to_excel(writer, sheet_name=sheet_name, index=index_option)\n",
        "# Stampa un messaggio di conferma\n",
        "print(f'File {file_name} salvato in {filepath}')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 147,
      "metadata": {},
      "outputs": [],
      "source": [
        "if formattazione == 'si':\n",
        "    from openpyxl import load_workbook\n",
        "    from openpyxl.styles import NamedStyle\n",
        "    from openpyxl.formatting.rule import ColorScaleRule\n",
        "    from openpyxl.styles import Color\n",
        "\n",
        "    # Definisci gli stili\n",
        "    thousands_style = NamedStyle(name='thousands', number_format='#,##0')\n",
        "    percent_style = NamedStyle(name='percent', number_format='0.00%')\n",
        "    integer_style = NamedStyle(name='integer', number_format='0')\n",
        "\n",
        "    # Carica il workbook esistente\n",
        "    print('loading workbook')\n",
        "    workbook = load_workbook(filepath)\n",
        "    print('workbook loaded')\n",
        "    # Definisci la mappatura della colonna al suo stile e alla formattazione condizionale\n",
        "    column_formats = {\n",
        "        # FF0000 rosso - FFFFFF bianco - 00FF00 verde\n",
        "        'clicks': (thousands_style, 'FF0000', 'FFFFFF', '00FF00'),\n",
        "        'query': (thousands_style, 'FF0000', 'FFFFFF', '00FF00'),\n",
        "        'url_count': (thousands_style, 'FF0000', 'FFFFFF', '00FF00'),\n",
        "        'impressions': (thousands_style, 'FF0000', 'FFFFFF', '00FF00'),\n",
        "        'ctr': (percent_style, 'FF0000', 'FFFFFF', '00FF00'),\n",
        "        'website_avg_ctr_by_pos': (percent_style, 'FF0000', 'FFFFFF', '00FF00'),\n",
        "        'avg position': (integer_style, '00FF00', 'FFFFFF', 'FF0000'),\n",
        "        'position': (integer_style, '00FF00', 'FFFFFF', 'FF0000'),  # Inverti per 'avg position'\n",
        "        'weighted avg position': (integer_style, '00FF00', 'FFFFFF', 'FF0000'),\n",
        "        'tag title len': (thousands_style, 'FF0000', 'FFFFFF', 'FF0000'),\n",
        "        'new tag title': (thousands_style, 'FF0000', 'FFFFFF', 'FF0000'),\n",
        "        'diff': (thousands_style, 'FF0000', 'FFFFFF', 'FF0000'),\n",
        "\n",
        "    }\n",
        "    print('formatting')\n",
        "    # Applica la formattazione specifica a tutte le colonne desiderate in tutti i fogli\n",
        "    for sheet_name in workbook.sheetnames:\n",
        "        sheet = workbook[sheet_name]\n",
        "        \n",
        "        # Aggiungi gli stili al workbook se non sono già stati aggiunti\n",
        "        if thousands_style.name not in workbook.named_styles:\n",
        "            workbook.add_named_style(thousands_style)\n",
        "        if percent_style.name not in workbook.named_styles:\n",
        "            workbook.add_named_style(percent_style)\n",
        "        if integer_style.name not in workbook.named_styles:\n",
        "            workbook.add_named_style(integer_style)\n",
        "        \n",
        "        for col_info in sheet.iter_cols(min_row=1, max_row=sheet.max_row):\n",
        "            #print(f'Formatting {col_info} in {sheet}')\n",
        "            col_name = sheet.cell(row=1, column=col_info[0].column).value\n",
        "            if col_name and col_name.lower() in column_formats:\n",
        "                col_values = [cell.value for cell in col_info if isinstance(cell.value, (int, float))]\n",
        "                if col_values:  # Assicurati che ci siano valori numerici nella colonna\n",
        "                    min_val = min(col_values)\n",
        "                    max_val = max(col_values)\n",
        "                    mid_val = (min_val + max_val) / 2  # Calcolo del valore medio per il bianco\n",
        "\n",
        "                    # Formattazione condizionale con tre colori\n",
        "                    # Ottieni lo stile e i colori dalla mappatura\n",
        "                    style, start_color, mid_color, end_color = column_formats[col_name.lower()]\n",
        "\n",
        "                    # Formattazione condizionale con tre colori\n",
        "                    color_scale_rule = ColorScaleRule(start_type='num', start_value=min_val, start_color=start_color,\n",
        "                                                    mid_type='num', mid_value=mid_val, mid_color=mid_color,\n",
        "                                                    end_type='num', end_value=max_val, end_color=end_color)\n",
        "                    col_letter = col_info[0].column_letter\n",
        "                    sheet.conditional_formatting.add(f\"{col_letter}2:{col_letter}{sheet.max_row}\", color_scale_rule)\n",
        "\n",
        "                    # Applica lo stile di formattazione numerica\n",
        "                    for cell in col_info[1:]:  # Saltare l'intestazione\n",
        "                        cell.style = style\n",
        "\n",
        "    # Salva le modifiche al workbook\n",
        "    workbook.save(filepath)\n",
        "    print('DONE!')\n"
      ]
    }
  ],
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