gsc_extractor_v8.1.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\\Giovanni Sacheli\\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 C:\\Users\\Giovanni\n",
            "[nltk_data]     Sacheli\\AppData\\Roaming\\nltk_data...\n",
            "[nltk_data]   Package omw is already up-to-date!\n",
            "[nltk_data] Downloading package punkt to C:\\Users\\Giovanni\n",
            "[nltk_data]     Sacheli\\AppData\\Roaming\\nltk_data...\n",
            "[nltk_data]   Package punkt is already up-to-date!\n",
            "[nltk_data] Downloading package stopwords to C:\\Users\\Giovanni\n",
            "[nltk_data]     Sacheli\\AppData\\Roaming\\nltk_data...\n",
            "[nltk_data]   Package stopwords is already up-to-date!\n",
            "[nltk_data] Downloading package wordnet to C:\\Users\\Giovanni\n",
            "[nltk_data]     Sacheli\\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": [
            "inglese loaded\n"
          ]
        }
      ],
      "source": [
        "# OPZIONI\n",
        "\n",
        "## LINGUA ################################################################\n",
        "language = 'en' # 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 = \"playersloot|players loot|playerloot|player loot\"\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=fyR3JocSMNCGU16CfoIuWYqGt79Gj2&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 sc-domain:playersloot.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://playersloot.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='sc-domain:playersloot.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_sc-domain-playersloot.com_18days_1crawls_20231129_1639\n",
            "output/sc-domain-playersloot.com\n",
            "GSC_EXT_sc-domain-playersloot.com_18days_1crawls_20231129_1639.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='sc-domain:playersloot.com')>\n",
            "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='sc-domain:playersloot.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='sc-domain:playersloot.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='sc-domain:playersloot.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='sc-domain:playersloot.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='sc-domain:playersloot.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='sc-domain:playersloot.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='sc-domain:playersloot.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='sc-domain:playersloot.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='sc-domain:playersloot.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='sc-domain:playersloot.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='sc-domain:playersloot.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='sc-domain:playersloot.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='sc-domain:playersloot.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='sc-domain:playersloot.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='sc-domain:playersloot.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='sc-domain:playersloot.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='sc-domain:playersloot.com')>\n",
            "No data found for period 2023-11-27 00:00:00 to 2023-11-27 23:59:59.\n",
            "Rows: 34796\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>playersloot</td>\n",
              "      <td>https://www.playersloot.com/</td>\n",
              "      <td>558</td>\n",
              "      <td>625</td>\n",
              "      <td>0.892800</td>\n",
              "      <td>1.001600</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>players loot</td>\n",
              "      <td>https://www.playersloot.com/</td>\n",
              "      <td>138</td>\n",
              "      <td>158</td>\n",
              "      <td>0.873418</td>\n",
              "      <td>1.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>player loot</td>\n",
              "      <td>https://www.playersloot.com/</td>\n",
              "      <td>89</td>\n",
              "      <td>98</td>\n",
              "      <td>0.908163</td>\n",
              "      <td>1.040816</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>playerloot</td>\n",
              "      <td>https://www.playersloot.com/</td>\n",
              "      <td>60</td>\n",
              "      <td>66</td>\n",
              "      <td>0.909091</td>\n",
              "      <td>1.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>playersloot</td>\n",
              "      <td>https://www.playersloot.com/products/fortnite/...</td>\n",
              "      <td>44</td>\n",
              "      <td>480</td>\n",
              "      <td>0.091667</td>\n",
              "      <td>1.002083</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "          query                                               page  clicks  \\\n",
              "0   playersloot                       https://www.playersloot.com/     558   \n",
              "1  players loot                       https://www.playersloot.com/     138   \n",
              "2   player loot                       https://www.playersloot.com/      89   \n",
              "3    playerloot                       https://www.playersloot.com/      60   \n",
              "4   playersloot  https://www.playersloot.com/products/fortnite/...      44   \n",
              "\n",
              "   impressions       ctr  position  \n",
              "0          625  0.892800  1.001600  \n",
              "1          158  0.873418  1.000000  \n",
              "2           98  0.908163  1.040816  \n",
              "3           66  0.909091  1.000000  \n",
              "4          480  0.091667  1.002083  "
            ]
          },
          "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": 19,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Somma totale dei clicks: 20339\n",
            "Somma totale delle impressions: 272963\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": 20,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "_hKfTPD6mBkw",
        "outputId": "fdb92a71-71dc-41d5-d37e-4ada736be255"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "34796 righe\n",
            "Somma totale dei clicks: 20339\n",
            "Somma totale delle impressions: 272963\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>playersloot</td>\n",
              "      <td>https://www.playersloot.com/</td>\n",
              "      <td>558</td>\n",
              "      <td>625</td>\n",
              "      <td>0.892800</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>players loot</td>\n",
              "      <td>https://www.playersloot.com/</td>\n",
              "      <td>138</td>\n",
              "      <td>158</td>\n",
              "      <td>0.873418</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>player loot</td>\n",
              "      <td>https://www.playersloot.com/</td>\n",
              "      <td>89</td>\n",
              "      <td>98</td>\n",
              "      <td>0.908163</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>playerloot</td>\n",
              "      <td>https://www.playersloot.com/</td>\n",
              "      <td>60</td>\n",
              "      <td>66</td>\n",
              "      <td>0.909091</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>playersloot</td>\n",
              "      <td>https://www.playersloot.com/products/fortnite/...</td>\n",
              "      <td>44</td>\n",
              "      <td>480</td>\n",
              "      <td>0.091667</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "          query                                               page  clicks  \\\n",
              "0   playersloot                       https://www.playersloot.com/     558   \n",
              "1  players loot                       https://www.playersloot.com/     138   \n",
              "2   player loot                       https://www.playersloot.com/      89   \n",
              "3    playerloot                       https://www.playersloot.com/      60   \n",
              "4   playersloot  https://www.playersloot.com/products/fortnite/...      44   \n",
              "\n",
              "   impressions       ctr  position  \n",
              "0          625  0.892800         1  \n",
              "1          158  0.873418         1  \n",
              "2           98  0.908163         1  \n",
              "3           66  0.909091         1  \n",
              "4          480  0.091667         1  "
            ]
          },
          "execution_count": 20,
          "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": 21,
      "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": 22,
      "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": 23,
      "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: 20339\n",
            "Somma totale delle impressions: 272963\n",
            "Rows: 7531\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": 24,
      "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: 7531\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>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>fortnite accounts</td>\n",
              "      <td>https://www.playersloot.com/products/fortnite/...</td>\n",
              "      <td>516</td>\n",
              "      <td>9628</td>\n",
              "      <td>0.053594</td>\n",
              "      <td>14</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>fortnite accounts for sale</td>\n",
              "      <td>https://www.playersloot.com/products/fortnite/...</td>\n",
              "      <td>255</td>\n",
              "      <td>8832</td>\n",
              "      <td>0.028872</td>\n",
              "      <td>10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>fortnite account for sale</td>\n",
              "      <td>https://www.playersloot.com/products/fortnite/...</td>\n",
              "      <td>406</td>\n",
              "      <td>8677</td>\n",
              "      <td>0.046790</td>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                        query  \\\n",
              "0           fortnite accounts   \n",
              "1  fortnite accounts for sale   \n",
              "2   fortnite account for sale   \n",
              "\n",
              "                                                page  clicks  impressions  \\\n",
              "0  https://www.playersloot.com/products/fortnite/...     516         9628   \n",
              "1  https://www.playersloot.com/products/fortnite/...     255         8832   \n",
              "2  https://www.playersloot.com/products/fortnite/...     406         8677   \n",
              "\n",
              "        ctr  weighted avg position  \n",
              "0  0.053594                     14  \n",
              "1  0.028872                     10  \n",
              "2  0.046790                      8  "
            ]
          },
          "execution_count": 24,
          "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": 28,
      "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: 20339\n",
            "Somma totale delle impressions: 272963\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>Stems Ordered by frequency</th>\n",
              "      <th>Strongest word stem</th>\n",
              "      <th>Lemmas Ordered by frequency</th>\n",
              "      <th>Strongest lemma</th>\n",
              "      <th>Stemming</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>fortnite accounts</td>\n",
              "      <td>https://www.playersloot.com/products/fortnite/...</td>\n",
              "      <td>516</td>\n",
              "      <td>9628</td>\n",
              "      <td>0.053594</td>\n",
              "      <td>14</td>\n",
              "      <td>17</td>\n",
              "      <td>account fortnit</td>\n",
              "      <td>account</td>\n",
              "      <td>account fortnite</td>\n",
              "      <td>account</td>\n",
              "      <td>fortnit account</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>fortnite accounts for sale</td>\n",
              "      <td>https://www.playersloot.com/products/fortnite/...</td>\n",
              "      <td>255</td>\n",
              "      <td>8832</td>\n",
              "      <td>0.028872</td>\n",
              "      <td>10</td>\n",
              "      <td>26</td>\n",
              "      <td>account fortnit sale</td>\n",
              "      <td>account</td>\n",
              "      <td>account fortnite sale</td>\n",
              "      <td>account</td>\n",
              "      <td>fortnit account sale</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>fortnite account for sale</td>\n",
              "      <td>https://www.playersloot.com/products/fortnite/...</td>\n",
              "      <td>406</td>\n",
              "      <td>8677</td>\n",
              "      <td>0.046790</td>\n",
              "      <td>8</td>\n",
              "      <td>25</td>\n",
              "      <td>account fortnit sale</td>\n",
              "      <td>account</td>\n",
              "      <td>account fortnite sale</td>\n",
              "      <td>account</td>\n",
              "      <td>fortnit account sale</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>playersloot</td>\n",
              "      <td>https://www.playersloot.com/</td>\n",
              "      <td>7155</td>\n",
              "      <td>8239</td>\n",
              "      <td>0.868431</td>\n",
              "      <td>1</td>\n",
              "      <td>11</td>\n",
              "      <td>playersloot</td>\n",
              "      <td>playersloot</td>\n",
              "      <td>playersloot</td>\n",
              "      <td>playersloot</td>\n",
              "      <td>playersloot</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>playersloot</td>\n",
              "      <td>http://playersloot.com/</td>\n",
              "      <td>31</td>\n",
              "      <td>8236</td>\n",
              "      <td>0.003764</td>\n",
              "      <td>3</td>\n",
              "      <td>11</td>\n",
              "      <td>playersloot</td>\n",
              "      <td>playersloot</td>\n",
              "      <td>playersloot</td>\n",
              "      <td>playersloot</td>\n",
              "      <td>playersloot</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>playersloot</td>\n",
              "      <td>https://www.playersloot.com/panel/login</td>\n",
              "      <td>119</td>\n",
              "      <td>8175</td>\n",
              "      <td>0.014557</td>\n",
              "      <td>1</td>\n",
              "      <td>11</td>\n",
              "      <td>playersloot</td>\n",
              "      <td>playersloot</td>\n",
              "      <td>playersloot</td>\n",
              "      <td>playersloot</td>\n",
              "      <td>playersloot</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                        query  \\\n",
              "0           fortnite accounts   \n",
              "1  fortnite accounts for sale   \n",
              "2   fortnite account for sale   \n",
              "3                 playersloot   \n",
              "4                 playersloot   \n",
              "5                 playersloot   \n",
              "\n",
              "                                                page  clicks  impressions  \\\n",
              "0  https://www.playersloot.com/products/fortnite/...     516         9628   \n",
              "1  https://www.playersloot.com/products/fortnite/...     255         8832   \n",
              "2  https://www.playersloot.com/products/fortnite/...     406         8677   \n",
              "3                       https://www.playersloot.com/    7155         8239   \n",
              "4                            http://playersloot.com/      31         8236   \n",
              "5            https://www.playersloot.com/panel/login     119         8175   \n",
              "\n",
              "        ctr  weighted avg position  Char Stems Ordered by frequency  \\\n",
              "0  0.053594                     14    17            account fortnit   \n",
              "1  0.028872                     10    26       account fortnit sale   \n",
              "2  0.046790                      8    25       account fortnit sale   \n",
              "3  0.868431                      1    11                playersloot   \n",
              "4  0.003764                      3    11                playersloot   \n",
              "5  0.014557                      1    11                playersloot   \n",
              "\n",
              "  Strongest word stem Lemmas Ordered by frequency Strongest lemma  \\\n",
              "0             account            account fortnite         account   \n",
              "1             account       account fortnite sale         account   \n",
              "2             account       account fortnite sale         account   \n",
              "3         playersloot                 playersloot     playersloot   \n",
              "4         playersloot                 playersloot     playersloot   \n",
              "5         playersloot                 playersloot     playersloot   \n",
              "\n",
              "               Stemming  \n",
              "0       fortnit account  \n",
              "1  fortnit account sale  \n",
              "2  fortnit account sale  \n",
              "3           playersloot  \n",
              "4           playersloot  \n",
              "5           playersloot  "
            ]
          },
          "execution_count": 28,
          "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": 29,
      "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: 20339\n",
            "Somma totale delle impressions: 272963\n"
          ]
        },
        {
          "data": {
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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",
              "      <th>Char</th>\n",
              "      <th>Stems Ordered by frequency</th>\n",
              "      <th>Strongest word stem</th>\n",
              "      <th>Lemmas Ordered by frequency</th>\n",
              "      <th>Strongest lemma</th>\n",
              "      <th>Stemming</th>\n",
              "      <th>Lemmatized</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>fortnite accounts</td>\n",
              "      <td>https://www.playersloot.com/products/fortnite/...</td>\n",
              "      <td>516</td>\n",
              "      <td>9628</td>\n",
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              "      <td>fortnite account</td>\n",
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              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>fortnite accounts for sale</td>\n",
              "      <td>https://www.playersloot.com/products/fortnite/...</td>\n",
              "      <td>255</td>\n",
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              "      <td>fortnit account sale</td>\n",
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              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>fortnite account for sale</td>\n",
              "      <td>https://www.playersloot.com/products/fortnite/...</td>\n",
              "      <td>406</td>\n",
              "      <td>8677</td>\n",
              "      <td>0.046790</td>\n",
              "      <td>8</td>\n",
              "      <td>25</td>\n",
              "      <td>account fortnit sale</td>\n",
              "      <td>account</td>\n",
              "      <td>account fortnite sale</td>\n",
              "      <td>account</td>\n",
              "      <td>fortnit account sale</td>\n",
              "      <td>fortnite account sale</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>playersloot</td>\n",
              "      <td>https://www.playersloot.com/</td>\n",
              "      <td>7155</td>\n",
              "      <td>8239</td>\n",
              "      <td>0.868431</td>\n",
              "      <td>1</td>\n",
              "      <td>11</td>\n",
              "      <td>playersloot</td>\n",
              "      <td>playersloot</td>\n",
              "      <td>playersloot</td>\n",
              "      <td>playersloot</td>\n",
              "      <td>playersloot</td>\n",
              "      <td>playersloot</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>playersloot</td>\n",
              "      <td>http://playersloot.com/</td>\n",
              "      <td>31</td>\n",
              "      <td>8236</td>\n",
              "      <td>0.003764</td>\n",
              "      <td>3</td>\n",
              "      <td>11</td>\n",
              "      <td>playersloot</td>\n",
              "      <td>playersloot</td>\n",
              "      <td>playersloot</td>\n",
              "      <td>playersloot</td>\n",
              "      <td>playersloot</td>\n",
              "      <td>playersloot</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>playersloot</td>\n",
              "      <td>https://www.playersloot.com/panel/login</td>\n",
              "      <td>119</td>\n",
              "      <td>8175</td>\n",
              "      <td>0.014557</td>\n",
              "      <td>1</td>\n",
              "      <td>11</td>\n",
              "      <td>playersloot</td>\n",
              "      <td>playersloot</td>\n",
              "      <td>playersloot</td>\n",
              "      <td>playersloot</td>\n",
              "      <td>playersloot</td>\n",
              "      <td>playersloot</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                        query  \\\n",
              "0           fortnite accounts   \n",
              "1  fortnite accounts for sale   \n",
              "2   fortnite account for sale   \n",
              "3                 playersloot   \n",
              "4                 playersloot   \n",
              "5                 playersloot   \n",
              "\n",
              "                                                page  clicks  impressions  \\\n",
              "0  https://www.playersloot.com/products/fortnite/...     516         9628   \n",
              "1  https://www.playersloot.com/products/fortnite/...     255         8832   \n",
              "2  https://www.playersloot.com/products/fortnite/...     406         8677   \n",
              "3                       https://www.playersloot.com/    7155         8239   \n",
              "4                            http://playersloot.com/      31         8236   \n",
              "5            https://www.playersloot.com/panel/login     119         8175   \n",
              "\n",
              "        ctr  weighted avg position  Char Stems Ordered by frequency  \\\n",
              "0  0.053594                     14    17            account fortnit   \n",
              "1  0.028872                     10    26       account fortnit sale   \n",
              "2  0.046790                      8    25       account fortnit sale   \n",
              "3  0.868431                      1    11                playersloot   \n",
              "4  0.003764                      3    11                playersloot   \n",
              "5  0.014557                      1    11                playersloot   \n",
              "\n",
              "  Strongest word stem Lemmas Ordered by frequency Strongest lemma  \\\n",
              "0             account            account fortnite         account   \n",
              "1             account       account fortnite sale         account   \n",
              "2             account       account fortnite sale         account   \n",
              "3         playersloot                 playersloot     playersloot   \n",
              "4         playersloot                 playersloot     playersloot   \n",
              "5         playersloot                 playersloot     playersloot   \n",
              "\n",
              "               Stemming             Lemmatized  \n",
              "0       fortnit account       fortnite account  \n",
              "1  fortnit account sale  fortnite account sale  \n",
              "2  fortnit account sale  fortnite account sale  \n",
              "3           playersloot            playersloot  \n",
              "4           playersloot            playersloot  \n",
              "5           playersloot            playersloot  "
            ]
          },
          "execution_count": 29,
          "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": 30,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Elaborazione dei testi con SpaCy avviata\n",
            "Estrazione sostantivi\n",
            "Somma totale dei clicks: 20339\n",
            "Somma totale delle impressions: 272963\n",
            "classificazione Spacy terminata\n"
          ]
        },
        {
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              "<style scoped>\n",
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              "\n",
              "    .dataframe tbody tr th {\n",
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              "    }\n",
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              "    .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>Stems Ordered by frequency</th>\n",
              "      <th>Strongest word stem</th>\n",
              "      <th>Lemmas Ordered by frequency</th>\n",
              "      <th>Strongest lemma</th>\n",
              "      <th>Stemming</th>\n",
              "      <th>Lemmatized</th>\n",
              "      <th>spacy_nouns</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>fortnite accounts</td>\n",
              "      <td>https://www.playersloot.com/products/fortnite/...</td>\n",
              "      <td>516</td>\n",
              "      <td>9628</td>\n",
              "      <td>0.053594</td>\n",
              "      <td>14</td>\n",
              "      <td>17</td>\n",
              "      <td>account fortnit</td>\n",
              "      <td>account</td>\n",
              "      <td>account fortnite</td>\n",
              "      <td>account</td>\n",
              "      <td>fortnit account</td>\n",
              "      <td>fortnite account</td>\n",
              "      <td>accounts</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>fortnite accounts for sale</td>\n",
              "      <td>https://www.playersloot.com/products/fortnite/...</td>\n",
              "      <td>255</td>\n",
              "      <td>8832</td>\n",
              "      <td>0.028872</td>\n",
              "      <td>10</td>\n",
              "      <td>26</td>\n",
              "      <td>account fortnit sale</td>\n",
              "      <td>account</td>\n",
              "      <td>account fortnite sale</td>\n",
              "      <td>account</td>\n",
              "      <td>fortnit account sale</td>\n",
              "      <td>fortnite account sale</td>\n",
              "      <td>accounts sale</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>fortnite account for sale</td>\n",
              "      <td>https://www.playersloot.com/products/fortnite/...</td>\n",
              "      <td>406</td>\n",
              "      <td>8677</td>\n",
              "      <td>0.046790</td>\n",
              "      <td>8</td>\n",
              "      <td>25</td>\n",
              "      <td>account fortnit sale</td>\n",
              "      <td>account</td>\n",
              "      <td>account fortnite sale</td>\n",
              "      <td>account</td>\n",
              "      <td>fortnit account sale</td>\n",
              "      <td>fortnite account sale</td>\n",
              "      <td>account sale</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                        query  \\\n",
              "0           fortnite accounts   \n",
              "1  fortnite accounts for sale   \n",
              "2   fortnite account for sale   \n",
              "\n",
              "                                                page  clicks  impressions  \\\n",
              "0  https://www.playersloot.com/products/fortnite/...     516         9628   \n",
              "1  https://www.playersloot.com/products/fortnite/...     255         8832   \n",
              "2  https://www.playersloot.com/products/fortnite/...     406         8677   \n",
              "\n",
              "        ctr  weighted avg position  Char Stems Ordered by frequency  \\\n",
              "0  0.053594                     14    17            account fortnit   \n",
              "1  0.028872                     10    26       account fortnit sale   \n",
              "2  0.046790                      8    25       account fortnit sale   \n",
              "\n",
              "  Strongest word stem Lemmas Ordered by frequency Strongest lemma  \\\n",
              "0             account            account fortnite         account   \n",
              "1             account       account fortnite sale         account   \n",
              "2             account       account fortnite sale         account   \n",
              "\n",
              "               Stemming             Lemmatized    spacy_nouns  \n",
              "0       fortnit account       fortnite account       accounts  \n",
              "1  fortnit account sale  fortnite account sale  accounts sale  \n",
              "2  fortnit account sale  fortnite account sale   account sale  "
            ]
          },
          "execution_count": 30,
          "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": 31,
      "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: 19907\n",
            "Somma totale delle impressions: 256243\n",
            "Rows: 114\n"
          ]
        },
        {
          "data": {
            "text/html": [
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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>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>10257</td>\n",
              "      <td>81558</td>\n",
              "      <td>0.125763</td>\n",
              "      <td>3</td>\n",
              "      <td>1318</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>accounts</th>\n",
              "      <td>1696</td>\n",
              "      <td>43258</td>\n",
              "      <td>0.039207</td>\n",
              "      <td>11</td>\n",
              "      <td>807</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>account</th>\n",
              "      <td>1227</td>\n",
              "      <td>28549</td>\n",
              "      <td>0.042979</td>\n",
              "      <td>14</td>\n",
              "      <td>790</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                 clicks  impressions       ctr  weighted avg position  query\n",
              "Trending Topics                                                             \n",
              "other             10257        81558  0.125763                      3   1318\n",
              "accounts           1696        43258  0.039207                     11    807\n",
              "account            1227        28549  0.042979                     14    790"
            ]
          },
          "execution_count": 31,
          "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": 32,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Creazione tabella pivot con trending stemming\n",
            "Somma totale dei clicks: 20311\n",
            "Somma totale delle impressions: 270261\n",
            "Rows: 33\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>account</th>\n",
              "      <td>6294</td>\n",
              "      <td>161351</td>\n",
              "      <td>0.039008</td>\n",
              "      <td>12</td>\n",
              "      <td>4535</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>playersloot</th>\n",
              "      <td>8287</td>\n",
              "      <td>59112</td>\n",
              "      <td>0.140192</td>\n",
              "      <td>1</td>\n",
              "      <td>76</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>player</th>\n",
              "      <td>3251</td>\n",
              "      <td>19011</td>\n",
              "      <td>0.171006</td>\n",
              "      <td>1</td>\n",
              "      <td>143</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                   clicks  impressions       ctr  weighted avg position  query\n",
              "Trending Stemming                                                             \n",
              "account              6294       161351  0.039008                     12   4535\n",
              "playersloot          8287        59112  0.140192                      1     76\n",
              "player               3251        19011  0.171006                      1    143"
            ]
          },
          "execution_count": 32,
          "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": 33,
      "metadata": {},
      "outputs": [],
      "source": [
        "# calcolo brand per rimozione query brand e calcolo CTR medio del sito web"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 34,
      "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>5649</td>\n",
              "      <td>99.30%</td>\n",
              "      <td>6348</td>\n",
              "      <td>40.33%</td>\n",
              "      <td>149053</td>\n",
              "      <td>91.17%</td>\n",
              "      <td>4.26%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Brand</th>\n",
              "      <td>40</td>\n",
              "      <td>0.70%</td>\n",
              "      <td>9393</td>\n",
              "      <td>59.67%</td>\n",
              "      <td>14435</td>\n",
              "      <td>8.83%</td>\n",
              "      <td>65.07%</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "             counts  Count %  Total Clicks  Clicks %  Total Impressions  \\\n",
              "cats                                                                      \n",
              "Non-branded    5649   99.30%          6348    40.33%             149053   \n",
              "Brand            40    0.70%          9393    59.67%              14435   \n",
              "\n",
              "             Imp %    ctr  \n",
              "cats                       \n",
              "Non-branded 91.17%  4.26%  \n",
              "Brand        8.83% 65.07%  "
            ]
          },
          "execution_count": 34,
          "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": 35,
      "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": 36,
      "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": 37,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "La categoria 'Brand' ha 40 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": 38,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Somma totale dei clicks: 13796\n",
            "Somma totale delle impressions: 92387\n",
            "Rows: 436\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": 39,
      "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": 40,
      "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>ctr</th>\n",
              "      <th>weighted avg position</th>\n",
              "      <th>Char</th>\n",
              "      <th>Stems Ordered by frequency</th>\n",
              "      <th>Strongest word stem</th>\n",
              "      <th>Lemmas Ordered by frequency</th>\n",
              "      <th>Strongest lemma</th>\n",
              "      <th>Stemming</th>\n",
              "      <th>Lemmatized</th>\n",
              "      <th>spacy_nouns</th>\n",
              "      <th>Brand/Non-branded</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>playersloot</td>\n",
              "      <td>https://www.playersloot.com/</td>\n",
              "      <td>7155</td>\n",
              "      <td>8239</td>\n",
              "      <td>86.84%</td>\n",
              "      <td>1</td>\n",
              "      <td>11</td>\n",
              "      <td>playersloot</td>\n",
              "      <td>playersloot</td>\n",
              "      <td>playersloot</td>\n",
              "      <td>playersloot</td>\n",
              "      <td>playersloot</td>\n",
              "      <td>playersloot</td>\n",
              "      <td>other</td>\n",
              "      <td>Brand</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>playersloot</td>\n",
              "      <td>http://playersloot.com/</td>\n",
              "      <td>31</td>\n",
              "      <td>8236</td>\n",
              "      <td>0.38%</td>\n",
              "      <td>3</td>\n",
              "      <td>11</td>\n",
              "      <td>playersloot</td>\n",
              "      <td>playersloot</td>\n",
              "      <td>playersloot</td>\n",
              "      <td>playersloot</td>\n",
              "      <td>playersloot</td>\n",
              "      <td>playersloot</td>\n",
              "      <td>other</td>\n",
              "      <td>Brand</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>playersloot</td>\n",
              "      <td>https://www.playersloot.com/panel/login</td>\n",
              "      <td>119</td>\n",
              "      <td>8175</td>\n",
              "      <td>1.46%</td>\n",
              "      <td>1</td>\n",
              "      <td>11</td>\n",
              "      <td>playersloot</td>\n",
              "      <td>playersloot</td>\n",
              "      <td>playersloot</td>\n",
              "      <td>playersloot</td>\n",
              "      <td>playersloot</td>\n",
              "      <td>playersloot</td>\n",
              "      <td>other</td>\n",
              "      <td>Brand</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>playersloot</td>\n",
              "      <td>https://www.playersloot.com/products/genshin-i...</td>\n",
              "      <td>180</td>\n",
              "      <td>8102</td>\n",
              "      <td>2.22%</td>\n",
              "      <td>1</td>\n",
              "      <td>11</td>\n",
              "      <td>playersloot</td>\n",
              "      <td>playersloot</td>\n",
              "      <td>playersloot</td>\n",
              "      <td>playersloot</td>\n",
              "      <td>playersloot</td>\n",
              "      <td>playersloot</td>\n",
              "      <td>other</td>\n",
              "      <td>Brand</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>playersloot</td>\n",
              "      <td>https://www.playersloot.com/how-to-buy</td>\n",
              "      <td>43</td>\n",
              "      <td>7616</td>\n",
              "      <td>0.56%</td>\n",
              "      <td>1</td>\n",
              "      <td>11</td>\n",
              "      <td>playersloot</td>\n",
              "      <td>playersloot</td>\n",
              "      <td>playersloot</td>\n",
              "      <td>playersloot</td>\n",
              "      <td>playersloot</td>\n",
              "      <td>playersloot</td>\n",
              "      <td>other</td>\n",
              "      <td>Brand</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",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7504</th>\n",
              "      <td>player loots</td>\n",
              "      <td>https://www.playersloot.com/panel/signup</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>1</td>\n",
              "      <td>12</td>\n",
              "      <td>player loot</td>\n",
              "      <td>player</td>\n",
              "      <td>player loot</td>\n",
              "      <td>player</td>\n",
              "      <td>player loot</td>\n",
              "      <td>player loot</td>\n",
              "      <td>player</td>\n",
              "      <td>Brand</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7512</th>\n",
              "      <td>player loot fortnite</td>\n",
              "      <td>https://www.playersloot.com/products/the-elder...</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>1</td>\n",
              "      <td>20</td>\n",
              "      <td>fortnit player loot</td>\n",
              "      <td>fortnit</td>\n",
              "      <td>fortnite player loot</td>\n",
              "      <td>fortnite</td>\n",
              "      <td>player loot fortnit</td>\n",
              "      <td>player loot fortnite</td>\n",
              "      <td>player loot</td>\n",
              "      <td>Brand</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7525</th>\n",
              "      <td>player loot fortnite</td>\n",
              "      <td>https://www.playersloot.com/panel/signup</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>1</td>\n",
              "      <td>20</td>\n",
              "      <td>fortnit player loot</td>\n",
              "      <td>fortnit</td>\n",
              "      <td>fortnite player loot</td>\n",
              "      <td>fortnite</td>\n",
              "      <td>player loot fortnit</td>\n",
              "      <td>player loot fortnite</td>\n",
              "      <td>player loot</td>\n",
              "      <td>Brand</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7527</th>\n",
              "      <td>player loot fortnite</td>\n",
              "      <td>https://www.playersloot.com/products/fifa-23/f...</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>1</td>\n",
              "      <td>20</td>\n",
              "      <td>fortnit player loot</td>\n",
              "      <td>fortnit</td>\n",
              "      <td>fortnite player loot</td>\n",
              "      <td>fortnite</td>\n",
              "      <td>player loot fortnit</td>\n",
              "      <td>player loot fortnite</td>\n",
              "      <td>player loot</td>\n",
              "      <td>Brand</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7528</th>\n",
              "      <td>player loot fortnite</td>\n",
              "      <td>https://www.playersloot.com/products/fortnite</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>1</td>\n",
              "      <td>20</td>\n",
              "      <td>fortnit player loot</td>\n",
              "      <td>fortnit</td>\n",
              "      <td>fortnite player loot</td>\n",
              "      <td>fortnite</td>\n",
              "      <td>player loot fortnit</td>\n",
              "      <td>player loot fortnite</td>\n",
              "      <td>player loot</td>\n",
              "      <td>Brand</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>436 rows × 15 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                     query                                               page  \\\n",
              "3              playersloot                       https://www.playersloot.com/   \n",
              "4              playersloot                            http://playersloot.com/   \n",
              "5              playersloot            https://www.playersloot.com/panel/login   \n",
              "6              playersloot  https://www.playersloot.com/products/genshin-i...   \n",
              "7              playersloot             https://www.playersloot.com/how-to-buy   \n",
              "...                    ...                                                ...   \n",
              "7504          player loots           https://www.playersloot.com/panel/signup   \n",
              "7512  player loot fortnite  https://www.playersloot.com/products/the-elder...   \n",
              "7525  player loot fortnite           https://www.playersloot.com/panel/signup   \n",
              "7527  player loot fortnite  https://www.playersloot.com/products/fifa-23/f...   \n",
              "7528  player loot fortnite      https://www.playersloot.com/products/fortnite   \n",
              "\n",
              "      clicks  impressions    ctr  weighted avg position  Char  \\\n",
              "3       7155         8239 86.84%                      1    11   \n",
              "4         31         8236  0.38%                      3    11   \n",
              "5        119         8175  1.46%                      1    11   \n",
              "6        180         8102  2.22%                      1    11   \n",
              "7         43         7616  0.56%                      1    11   \n",
              "...      ...          ...    ...                    ...   ...   \n",
              "7504       0            1  0.00%                      1    12   \n",
              "7512       0            1  0.00%                      1    20   \n",
              "7525       0            1  0.00%                      1    20   \n",
              "7527       0            1  0.00%                      1    20   \n",
              "7528       0            1  0.00%                      1    20   \n",
              "\n",
              "     Stems Ordered by frequency Strongest word stem  \\\n",
              "3                   playersloot         playersloot   \n",
              "4                   playersloot         playersloot   \n",
              "5                   playersloot         playersloot   \n",
              "6                   playersloot         playersloot   \n",
              "7                   playersloot         playersloot   \n",
              "...                         ...                 ...   \n",
              "7504                player loot              player   \n",
              "7512        fortnit player loot             fortnit   \n",
              "7525        fortnit player loot             fortnit   \n",
              "7527        fortnit player loot             fortnit   \n",
              "7528        fortnit player loot             fortnit   \n",
              "\n",
              "     Lemmas Ordered by frequency Strongest lemma             Stemming  \\\n",
              "3                    playersloot     playersloot          playersloot   \n",
              "4                    playersloot     playersloot          playersloot   \n",
              "5                    playersloot     playersloot          playersloot   \n",
              "6                    playersloot     playersloot          playersloot   \n",
              "7                    playersloot     playersloot          playersloot   \n",
              "...                          ...             ...                  ...   \n",
              "7504                 player loot          player          player loot   \n",
              "7512        fortnite player loot        fortnite  player loot fortnit   \n",
              "7525        fortnite player loot        fortnite  player loot fortnit   \n",
              "7527        fortnite player loot        fortnite  player loot fortnit   \n",
              "7528        fortnite player loot        fortnite  player loot fortnit   \n",
              "\n",
              "                Lemmatized  spacy_nouns Brand/Non-branded  \n",
              "3              playersloot        other             Brand  \n",
              "4              playersloot        other             Brand  \n",
              "5              playersloot        other             Brand  \n",
              "6              playersloot        other             Brand  \n",
              "7              playersloot        other             Brand  \n",
              "...                    ...          ...               ...  \n",
              "7504           player loot       player             Brand  \n",
              "7512  player loot fortnite  player loot             Brand  \n",
              "7525  player loot fortnite  player loot             Brand  \n",
              "7527  player loot fortnite  player loot             Brand  \n",
              "7528  player loot fortnite  player loot             Brand  \n",
              "\n",
              "[436 rows x 15 columns]"
            ]
          },
          "execution_count": 40,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df_brand"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 41,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Somma totale dei clicks: 9393\n",
            "Somma totale delle impressions: 14435\n",
            "Rows: 40\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": 42,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Creazione tabella pivot base URL\n",
            "Somma totale dei clicks: 20339\n",
            "Somma totale delle impressions: 272963\n",
            "Rows: 381\n"
          ]
        },
        {
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\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>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.playersloot.com/products/fortnite/fortnite-accounts</th>\n",
              "      <td>6665</td>\n",
              "      <td>116423</td>\n",
              "      <td>5.72%</td>\n",
              "      <td>11</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>https://www.playersloot.com/products/genshin-impact/genshin-impact-accounts</th>\n",
              "      <td>900</td>\n",
              "      <td>23864</td>\n",
              "      <td>3.77%</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>https://www.playersloot.com/</th>\n",
              "      <td>11781</td>\n",
              "      <td>14286</td>\n",
              "      <td>82.47%</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>https://www.playersloot.com/panel/login</th>\n",
              "      <td>180</td>\n",
              "      <td>12928</td>\n",
              "      <td>1.39%</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>http://playersloot.com/</th>\n",
              "      <td>79</td>\n",
              "      <td>12127</td>\n",
              "      <td>0.65%</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>https://www.playersloot.com/product?v=gMjk9b</th>\n",
              "      <td>4</td>\n",
              "      <td>10122</td>\n",
              "      <td>0.04%</td>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>https://www.playersloot.com/product?v=ayO4lg</th>\n",
              "      <td>6</td>\n",
              "      <td>10119</td>\n",
              "      <td>0.06%</td>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>https://www.playersloot.com/product?v=gOXL90</th>\n",
              "      <td>0</td>\n",
              "      <td>9737</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>https://www.playersloot.com/how-to-buy</th>\n",
              "      <td>51</td>\n",
              "      <td>8730</td>\n",
              "      <td>0.58%</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>https://www.playersloot.com/products/league-of-legends/league-of-legends-accounts</th>\n",
              "      <td>11</td>\n",
              "      <td>8595</td>\n",
              "      <td>0.13%</td>\n",
              "      <td>32</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                                    clicks  impressions  \\\n",
              "page                                                                      \n",
              "https://www.playersloot.com/products/fortnite/f...    6665       116423   \n",
              "https://www.playersloot.com/products/genshin-im...     900        23864   \n",
              "https://www.playersloot.com/                         11781        14286   \n",
              "https://www.playersloot.com/panel/login                180        12928   \n",
              "http://playersloot.com/                                 79        12127   \n",
              "https://www.playersloot.com/product?v=gMjk9b             4        10122   \n",
              "https://www.playersloot.com/product?v=ayO4lg             6        10119   \n",
              "https://www.playersloot.com/product?v=gOXL90             0         9737   \n",
              "https://www.playersloot.com/how-to-buy                  51         8730   \n",
              "https://www.playersloot.com/products/league-of-...      11         8595   \n",
              "\n",
              "                                                      ctr  \\\n",
              "page                                                        \n",
              "https://www.playersloot.com/products/fortnite/f...  5.72%   \n",
              "https://www.playersloot.com/products/genshin-im...  3.77%   \n",
              "https://www.playersloot.com/                       82.47%   \n",
              "https://www.playersloot.com/panel/login             1.39%   \n",
              "http://playersloot.com/                             0.65%   \n",
              "https://www.playersloot.com/product?v=gMjk9b        0.04%   \n",
              "https://www.playersloot.com/product?v=ayO4lg        0.06%   \n",
              "https://www.playersloot.com/product?v=gOXL90        0.00%   \n",
              "https://www.playersloot.com/how-to-buy              0.58%   \n",
              "https://www.playersloot.com/products/league-of-...  0.13%   \n",
              "\n",
              "                                                    weighted avg position  \n",
              "page                                                                       \n",
              "https://www.playersloot.com/products/fortnite/f...                     11  \n",
              "https://www.playersloot.com/products/genshin-im...                      6  \n",
              "https://www.playersloot.com/                                            2  \n",
              "https://www.playersloot.com/panel/login                                 1  \n",
              "http://playersloot.com/                                                 4  \n",
              "https://www.playersloot.com/product?v=gMjk9b                            8  \n",
              "https://www.playersloot.com/product?v=ayO4lg                            8  \n",
              "https://www.playersloot.com/product?v=gOXL90                            8  \n",
              "https://www.playersloot.com/how-to-buy                                  1  \n",
              "https://www.playersloot.com/products/league-of-...                     32  "
            ]
          },
          "execution_count": 42,
          "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",
        "\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": 43,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Creazione tabella pivot base QUERY\n",
            "Calcolo del CTR\n",
            "Somma totale dei clicks: 20339\n",
            "Somma totale delle impressions: 272963\n",
            "Rows: 5689\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>playersloot</th>\n",
              "      <td>8249</td>\n",
              "      <td>58683</td>\n",
              "      <td>14.06%</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>fortnite account for sale</th>\n",
              "      <td>408</td>\n",
              "      <td>13468</td>\n",
              "      <td>3.03%</td>\n",
              "      <td>9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>fortnite accounts for sale</th>\n",
              "      <td>255</td>\n",
              "      <td>10809</td>\n",
              "      <td>2.36%</td>\n",
              "      <td>10</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                            clicks  impressions    ctr  weighted avg position\n",
              "query                                                                        \n",
              "playersloot                   8249        58683 14.06%                      1\n",
              "fortnite account for sale      408        13468  3.03%                      9\n",
              "fortnite accounts for sale     255        10809  2.36%                     10"
            ]
          },
          "execution_count": 43,
          "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": 44,
      "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>15.71%</td>\n",
              "      <td>125</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2</td>\n",
              "      <td>13.79%</td>\n",
              "      <td>45</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>3</td>\n",
              "      <td>5.75%</td>\n",
              "      <td>75</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>4</td>\n",
              "      <td>7.97%</td>\n",
              "      <td>117</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>5</td>\n",
              "      <td>7.60%</td>\n",
              "      <td>182</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>6</td>\n",
              "      <td>4.16%</td>\n",
              "      <td>218</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>7</td>\n",
              "      <td>4.73%</td>\n",
              "      <td>247</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>8</td>\n",
              "      <td>3.06%</td>\n",
              "      <td>278</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>9</td>\n",
              "      <td>2.71%</td>\n",
              "      <td>303</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>10</td>\n",
              "      <td>2.09%</td>\n",
              "      <td>428</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   position  website_avg_ctr_by_pos  query_count\n",
              "0         1                  15.71%          125\n",
              "1         2                  13.79%           45\n",
              "2         3                   5.75%           75\n",
              "3         4                   7.97%          117\n",
              "4         5                   7.60%          182\n",
              "5         6                   4.16%          218\n",
              "6         7                   4.73%          247\n",
              "7         8                   3.06%          278\n",
              "8         9                   2.71%          303\n",
              "9        10                   2.09%          428"
            ]
          },
          "execution_count": 44,
          "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": 45,
      "metadata": {},
      "outputs": [
        {
          "data": {
            "image/png": 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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",
        "\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",
        "\n",
        "# Mostra il grafico\n",
        "plt.show()\n",
        "\n",
        "# Chiudi la figura per liberare memoria\n",
        "plt.close()\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 46,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Missing positions in mapping: []\n",
            "Somma totale dei clicks: 20339\n",
            "Somma totale delle impressions: 272963\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>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.playersloot.com/products/fortnite/...</td>\n",
              "      <td>6665</td>\n",
              "      <td>116423</td>\n",
              "      <td>5.72%</td>\n",
              "      <td>11</td>\n",
              "      <td>3.83%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>https://www.playersloot.com/products/genshin-i...</td>\n",
              "      <td>900</td>\n",
              "      <td>23864</td>\n",
              "      <td>3.77%</td>\n",
              "      <td>6</td>\n",
              "      <td>4.16%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>https://www.playersloot.com/</td>\n",
              "      <td>11781</td>\n",
              "      <td>14286</td>\n",
              "      <td>82.47%</td>\n",
              "      <td>2</td>\n",
              "      <td>13.79%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>https://www.playersloot.com/panel/login</td>\n",
              "      <td>180</td>\n",
              "      <td>12928</td>\n",
              "      <td>1.39%</td>\n",
              "      <td>1</td>\n",
              "      <td>15.71%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>http://playersloot.com/</td>\n",
              "      <td>79</td>\n",
              "      <td>12127</td>\n",
              "      <td>0.65%</td>\n",
              "      <td>4</td>\n",
              "      <td>7.97%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>https://www.playersloot.com/product?v=gMjk9b</td>\n",
              "      <td>4</td>\n",
              "      <td>10122</td>\n",
              "      <td>0.04%</td>\n",
              "      <td>8</td>\n",
              "      <td>3.06%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>https://www.playersloot.com/product?v=ayO4lg</td>\n",
              "      <td>6</td>\n",
              "      <td>10119</td>\n",
              "      <td>0.06%</td>\n",
              "      <td>8</td>\n",
              "      <td>3.06%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>https://www.playersloot.com/product?v=gOXL90</td>\n",
              "      <td>0</td>\n",
              "      <td>9737</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>8</td>\n",
              "      <td>3.06%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>https://www.playersloot.com/how-to-buy</td>\n",
              "      <td>51</td>\n",
              "      <td>8730</td>\n",
              "      <td>0.58%</td>\n",
              "      <td>1</td>\n",
              "      <td>15.71%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>https://www.playersloot.com/products/league-of...</td>\n",
              "      <td>11</td>\n",
              "      <td>8595</td>\n",
              "      <td>0.13%</td>\n",
              "      <td>32</td>\n",
              "      <td>0.98%</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                                page  clicks  impressions  \\\n",
              "0  https://www.playersloot.com/products/fortnite/...    6665       116423   \n",
              "1  https://www.playersloot.com/products/genshin-i...     900        23864   \n",
              "2                       https://www.playersloot.com/   11781        14286   \n",
              "3            https://www.playersloot.com/panel/login     180        12928   \n",
              "4                            http://playersloot.com/      79        12127   \n",
              "5       https://www.playersloot.com/product?v=gMjk9b       4        10122   \n",
              "6       https://www.playersloot.com/product?v=ayO4lg       6        10119   \n",
              "7       https://www.playersloot.com/product?v=gOXL90       0         9737   \n",
              "8             https://www.playersloot.com/how-to-buy      51         8730   \n",
              "9  https://www.playersloot.com/products/league-of...      11         8595   \n",
              "\n",
              "     ctr  weighted avg position  website_avg_ctr_by_pos  \n",
              "0  5.72%                     11                   3.83%  \n",
              "1  3.77%                      6                   4.16%  \n",
              "2 82.47%                      2                  13.79%  \n",
              "3  1.39%                      1                  15.71%  \n",
              "4  0.65%                      4                   7.97%  \n",
              "5  0.04%                      8                   3.06%  \n",
              "6  0.06%                      8                   3.06%  \n",
              "7  0.00%                      8                   3.06%  \n",
              "8  0.58%                      1                  15.71%  \n",
              "9  0.13%                     32                   0.98%  "
            ]
          },
          "execution_count": 46,
          "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": 47,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Rows: 381\n",
            "Somma totale dei clicks: 20339\n",
            "Somma totale delle impressions: 272963\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>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.playersloot.com/products/fortnite/...</td>\n",
              "      <td>6665</td>\n",
              "      <td>116423</td>\n",
              "      <td>5.72%</td>\n",
              "      <td>3.83%</td>\n",
              "      <td>greater</td>\n",
              "      <td>11</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>https://www.playersloot.com/products/genshin-i...</td>\n",
              "      <td>900</td>\n",
              "      <td>23864</td>\n",
              "      <td>3.77%</td>\n",
              "      <td>4.16%</td>\n",
              "      <td>lower</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>https://www.playersloot.com/</td>\n",
              "      <td>11781</td>\n",
              "      <td>14286</td>\n",
              "      <td>82.47%</td>\n",
              "      <td>13.79%</td>\n",
              "      <td>greater</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                                page  clicks  impressions  \\\n",
              "0  https://www.playersloot.com/products/fortnite/...    6665       116423   \n",
              "1  https://www.playersloot.com/products/genshin-i...     900        23864   \n",
              "2                       https://www.playersloot.com/   11781        14286   \n",
              "\n",
              "     ctr  website_avg_ctr_by_pos comparison  weighted avg position  \n",
              "0  5.72%                   3.83%    greater                     11  \n",
              "1  3.77%                   4.16%      lower                      6  \n",
              "2 82.47%                  13.79%    greater                      2  "
            ]
          },
          "execution_count": 47,
          "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": 48,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Creazione tabella pivot con le cartelle di primo livello\n",
            "Somma totale dei clicks: 20094\n",
            "Somma totale delle impressions: 226968\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>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>products</th>\n",
              "      <td>8029</td>\n",
              "      <td>181738</td>\n",
              "      <td>111</td>\n",
              "      <td>4.42%</td>\n",
              "      <td>7233.33%</td>\n",
              "      <td>163727.93%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>vendor</th>\n",
              "      <td>5</td>\n",
              "      <td>601</td>\n",
              "      <td>21</td>\n",
              "      <td>0.83%</td>\n",
              "      <td>23.81%</td>\n",
              "      <td>2861.90%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>help-center</th>\n",
              "      <td>2</td>\n",
              "      <td>721</td>\n",
              "      <td>9</td>\n",
              "      <td>0.28%</td>\n",
              "      <td>22.22%</td>\n",
              "      <td>8011.11%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th></th>\n",
              "      <td>11878</td>\n",
              "      <td>30794</td>\n",
              "      <td>5</td>\n",
              "      <td>38.57%</td>\n",
              "      <td>237560.00%</td>\n",
              "      <td>615880.00%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>product?v=bNepzg</th>\n",
              "      <td>0</td>\n",
              "      <td>4</td>\n",
              "      <td>2</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>200.00%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>panel</th>\n",
              "      <td>180</td>\n",
              "      <td>13110</td>\n",
              "      <td>2</td>\n",
              "      <td>1.37%</td>\n",
              "      <td>9000.00%</td>\n",
              "      <td>655500.00%</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                    clicks  impressions  url_count    ctr  click/URL  \\\n",
              "first_level_folder                                                     \n",
              "products              8029       181738        111  4.42%   7233.33%   \n",
              "vendor                   5          601         21  0.83%     23.81%   \n",
              "help-center              2          721          9  0.28%     22.22%   \n",
              "                     11878        30794          5 38.57% 237560.00%   \n",
              "product?v=bNepzg         0            4          2  0.00%      0.00%   \n",
              "panel                  180        13110          2  1.37%   9000.00%   \n",
              "\n",
              "                      imp/URL  \n",
              "first_level_folder             \n",
              "products           163727.93%  \n",
              "vendor               2861.90%  \n",
              "help-center          8011.11%  \n",
              "                   615880.00%  \n",
              "product?v=bNepzg      200.00%  \n",
              "panel              655500.00%  "
            ]
          },
          "execution_count": 48,
          "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": 49,
      "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: 4639\n",
            "Somma totale delle impressions: 118003\n",
            "238\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>Stems Ordered by frequency</th>\n",
              "      <th>Strongest word stem</th>\n",
              "      <th>Lemmas Ordered by frequency</th>\n",
              "      <th>Strongest lemma</th>\n",
              "      <th>Stemming</th>\n",
              "      <th>Lemmatized</th>\n",
              "      <th>spacy_nouns</th>\n",
              "      <th>Brand/Non-branded</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>fortnite accounts</td>\n",
              "      <td>https://www.playersloot.com/products/fortnite/...</td>\n",
              "      <td>516</td>\n",
              "      <td>9628</td>\n",
              "      <td>5.36%</td>\n",
              "      <td>14</td>\n",
              "      <td>17</td>\n",
              "      <td>account fortnit</td>\n",
              "      <td>account</td>\n",
              "      <td>account fortnite</td>\n",
              "      <td>account</td>\n",
              "      <td>fortnit account</td>\n",
              "      <td>fortnite account</td>\n",
              "      <td>accounts</td>\n",
              "      <td>Non-branded</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>fortnite accounts for sale</td>\n",
              "      <td>https://www.playersloot.com/products/fortnite/...</td>\n",
              "      <td>255</td>\n",
              "      <td>8832</td>\n",
              "      <td>2.89%</td>\n",
              "      <td>10</td>\n",
              "      <td>26</td>\n",
              "      <td>account fortnit sale</td>\n",
              "      <td>account</td>\n",
              "      <td>account fortnite sale</td>\n",
              "      <td>account</td>\n",
              "      <td>fortnit account sale</td>\n",
              "      <td>fortnite account sale</td>\n",
              "      <td>accounts sale</td>\n",
              "      <td>Non-branded</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>fortnite account for sale</td>\n",
              "      <td>https://www.playersloot.com/products/fortnite/...</td>\n",
              "      <td>406</td>\n",
              "      <td>8677</td>\n",
              "      <td>4.68%</td>\n",
              "      <td>8</td>\n",
              "      <td>25</td>\n",
              "      <td>account fortnit sale</td>\n",
              "      <td>account</td>\n",
              "      <td>account fortnite sale</td>\n",
              "      <td>account</td>\n",
              "      <td>fortnit account sale</td>\n",
              "      <td>fortnite account sale</td>\n",
              "      <td>account sale</td>\n",
              "      <td>Non-branded</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                        query  \\\n",
              "0           fortnite accounts   \n",
              "1  fortnite accounts for sale   \n",
              "2   fortnite account for sale   \n",
              "\n",
              "                                                page  clicks  impressions  \\\n",
              "0  https://www.playersloot.com/products/fortnite/...     516         9628   \n",
              "1  https://www.playersloot.com/products/fortnite/...     255         8832   \n",
              "2  https://www.playersloot.com/products/fortnite/...     406         8677   \n",
              "\n",
              "    ctr  position  Char Stems Ordered by frequency Strongest word stem  \\\n",
              "0 5.36%        14    17            account fortnit             account   \n",
              "1 2.89%        10    26       account fortnit sale             account   \n",
              "2 4.68%         8    25       account fortnit sale             account   \n",
              "\n",
              "  Lemmas Ordered by frequency Strongest lemma              Stemming  \\\n",
              "0            account fortnite         account       fortnit account   \n",
              "1       account fortnite sale         account  fortnit account sale   \n",
              "2       account fortnite sale         account  fortnit account sale   \n",
              "\n",
              "              Lemmatized    spacy_nouns Brand/Non-branded  \n",
              "0       fortnite account       accounts       Non-branded  \n",
              "1  fortnite account sale  accounts sale       Non-branded  \n",
              "2  fortnite account sale   account sale       Non-branded  "
            ]
          },
          "execution_count": 49,
          "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": 50,
      "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>ctr</th>\n",
              "      <th>position</th>\n",
              "      <th>Char</th>\n",
              "      <th>Stems Ordered by frequency</th>\n",
              "      <th>Strongest word stem</th>\n",
              "      <th>Lemmas Ordered by frequency</th>\n",
              "      <th>Strongest lemma</th>\n",
              "      <th>Stemming</th>\n",
              "      <th>Lemmatized</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",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>fortnite accounts</td>\n",
              "      <td>https://www.playersloot.com/products/fortnite/...</td>\n",
              "      <td>516</td>\n",
              "      <td>9628</td>\n",
              "      <td>5.36%</td>\n",
              "      <td>14</td>\n",
              "      <td>17</td>\n",
              "      <td>account fortnit</td>\n",
              "      <td>account</td>\n",
              "      <td>account fortnite</td>\n",
              "      <td>account</td>\n",
              "      <td>fortnit account</td>\n",
              "      <td>fortnite account</td>\n",
              "      <td>accounts</td>\n",
              "      <td>Non-branded</td>\n",
              "      <td>5.04%</td>\n",
              "      <td>greater</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>fortnite accounts for sale</td>\n",
              "      <td>https://www.playersloot.com/products/fortnite/...</td>\n",
              "      <td>255</td>\n",
              "      <td>8832</td>\n",
              "      <td>2.89%</td>\n",
              "      <td>10</td>\n",
              "      <td>26</td>\n",
              "      <td>account fortnit sale</td>\n",
              "      <td>account</td>\n",
              "      <td>account fortnite sale</td>\n",
              "      <td>account</td>\n",
              "      <td>fortnit account sale</td>\n",
              "      <td>fortnite account sale</td>\n",
              "      <td>accounts sale</td>\n",
              "      <td>Non-branded</td>\n",
              "      <td>2.09%</td>\n",
              "      <td>greater</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>fortnite account for sale</td>\n",
              "      <td>https://www.playersloot.com/products/fortnite/...</td>\n",
              "      <td>406</td>\n",
              "      <td>8677</td>\n",
              "      <td>4.68%</td>\n",
              "      <td>8</td>\n",
              "      <td>25</td>\n",
              "      <td>account fortnit sale</td>\n",
              "      <td>account</td>\n",
              "      <td>account fortnite sale</td>\n",
              "      <td>account</td>\n",
              "      <td>fortnit account sale</td>\n",
              "      <td>fortnite account sale</td>\n",
              "      <td>account sale</td>\n",
              "      <td>Non-branded</td>\n",
              "      <td>3.06%</td>\n",
              "      <td>greater</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>fortnite account</td>\n",
              "      <td>https://www.playersloot.com/products/fortnite/...</td>\n",
              "      <td>315</td>\n",
              "      <td>4760</td>\n",
              "      <td>6.62%</td>\n",
              "      <td>22</td>\n",
              "      <td>16</td>\n",
              "      <td>account fortnit</td>\n",
              "      <td>account</td>\n",
              "      <td>account fortnite</td>\n",
              "      <td>account</td>\n",
              "      <td>fortnit account</td>\n",
              "      <td>fortnite account</td>\n",
              "      <td>account</td>\n",
              "      <td>Non-branded</td>\n",
              "      <td>5.82%</td>\n",
              "      <td>greater</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>og fortnite accounts</td>\n",
              "      <td>https://www.playersloot.com/products/fortnite/...</td>\n",
              "      <td>152</td>\n",
              "      <td>4312</td>\n",
              "      <td>3.53%</td>\n",
              "      <td>11</td>\n",
              "      <td>20</td>\n",
              "      <td>account fortnit og</td>\n",
              "      <td>account</td>\n",
              "      <td>account fortnite og</td>\n",
              "      <td>account</td>\n",
              "      <td>og fortnit account</td>\n",
              "      <td>og fortnite account</td>\n",
              "      <td>accounts</td>\n",
              "      <td>Non-branded</td>\n",
              "      <td>3.83%</td>\n",
              "      <td>lower</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                         query  \\\n",
              "0            fortnite accounts   \n",
              "1   fortnite accounts for sale   \n",
              "2    fortnite account for sale   \n",
              "9             fortnite account   \n",
              "10        og fortnite accounts   \n",
              "\n",
              "                                                 page  clicks  impressions  \\\n",
              "0   https://www.playersloot.com/products/fortnite/...     516         9628   \n",
              "1   https://www.playersloot.com/products/fortnite/...     255         8832   \n",
              "2   https://www.playersloot.com/products/fortnite/...     406         8677   \n",
              "9   https://www.playersloot.com/products/fortnite/...     315         4760   \n",
              "10  https://www.playersloot.com/products/fortnite/...     152         4312   \n",
              "\n",
              "     ctr  position  Char Stems Ordered by frequency Strongest word stem  \\\n",
              "0  5.36%        14    17            account fortnit             account   \n",
              "1  2.89%        10    26       account fortnit sale             account   \n",
              "2  4.68%         8    25       account fortnit sale             account   \n",
              "9  6.62%        22    16            account fortnit             account   \n",
              "10 3.53%        11    20         account fortnit og             account   \n",
              "\n",
              "   Lemmas Ordered by frequency Strongest lemma              Stemming  \\\n",
              "0             account fortnite         account       fortnit account   \n",
              "1        account fortnite sale         account  fortnit account sale   \n",
              "2        account fortnite sale         account  fortnit account sale   \n",
              "9             account fortnite         account       fortnit account   \n",
              "10         account fortnite og         account    og fortnit account   \n",
              "\n",
              "               Lemmatized    spacy_nouns Brand/Non-branded  \\\n",
              "0        fortnite account       accounts       Non-branded   \n",
              "1   fortnite account sale  accounts sale       Non-branded   \n",
              "2   fortnite account sale   account sale       Non-branded   \n",
              "9        fortnite account        account       Non-branded   \n",
              "10    og fortnite account       accounts       Non-branded   \n",
              "\n",
              "    website_avg_ctr_by_pos comparison  \n",
              "0                    5.04%    greater  \n",
              "1                    2.09%    greater  \n",
              "2                    3.06%    greater  \n",
              "9                    5.82%    greater  \n",
              "10                   3.83%      lower  "
            ]
          },
          "execution_count": 50,
          "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": 51,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "eHGrdA_KmkpZ",
        "outputId": "f7f3a367-71bd-4a71-efcb-c53da4b033f9"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "238\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>Stems Ordered by frequency</th>\n",
              "      <th>Strongest word stem</th>\n",
              "      <th>Lemmas Ordered by frequency</th>\n",
              "      <th>Strongest lemma</th>\n",
              "      <th>Stemming</th>\n",
              "      <th>Lemmatized</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>termini_singoli</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>fortnite accounts</td>\n",
              "      <td>https://www.playersloot.com/products/fortnite/...</td>\n",
              "      <td>516</td>\n",
              "      <td>9628</td>\n",
              "      <td>5.36%</td>\n",
              "      <td>14</td>\n",
              "      <td>17</td>\n",
              "      <td>account fortnit</td>\n",
              "      <td>account</td>\n",
              "      <td>account fortnite</td>\n",
              "      <td>account</td>\n",
              "      <td>fortnit account</td>\n",
              "      <td>fortnite account</td>\n",
              "      <td>accounts</td>\n",
              "      <td>Non-branded</td>\n",
              "      <td>5.04%</td>\n",
              "      <td>greater</td>\n",
              "      <td>[fortnite, accounts]</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "               query                                               page  \\\n",
              "0  fortnite accounts  https://www.playersloot.com/products/fortnite/...   \n",
              "\n",
              "   clicks  impressions   ctr  position  Char Stems Ordered by frequency  \\\n",
              "0     516         9628 5.36%        14    17            account fortnit   \n",
              "\n",
              "  Strongest word stem Lemmas Ordered by frequency Strongest lemma  \\\n",
              "0             account            account fortnite         account   \n",
              "\n",
              "          Stemming        Lemmatized spacy_nouns Brand/Non-branded  \\\n",
              "0  fortnit account  fortnite account    accounts       Non-branded   \n",
              "\n",
              "   website_avg_ctr_by_pos comparison       termini_singoli  \n",
              "0                   5.04%    greater  [fortnite, accounts]  "
            ]
          },
          "execution_count": 51,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# nuova colonna con termini singoli\n",
        "# crea una copia\n",
        "merged_df2 = merged_df.copy()\n",
        "# creare una nuova colonna che contiene solo i termini singoli di ciascuna riga, senza stopword\n",
        "merged_df2[\"termini_singoli\"] = merged_df2[\"query\"].str.split()\n",
        "# rimuovi stopwords\n",
        "merged_df2[\"termini_singoli\"] = merged_df2[\"termini_singoli\"].apply(lambda x: [term for term in x if term not in stopwords])\n",
        "print(merged_df2.shape[0])\n",
        "merged_df2.head(1)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 52,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "VRDu8fjLf-4q",
        "outputId": "0fa8a567-6e8a-4d5f-f530-3dfd1017cc54"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "100%|██████████| 238/238 [00:00<?, ?it/s]\n"
          ]
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Single keywords: ['fortnite', 'accounts', 'fortnite', 'accounts', 'sale', 'fortnite', 'account', 'sale', 'fortnite', 'account', 'og', 'fortnite', 'accounts', 'og', 'fortnite', 'account', 'buy', 'fortnite', 'account', 'buy', 'fortnite', 'accounts', 'og', 'fortnite', 'accounts', 'sale', 'cheap', 'fortnite', 'accounts', 'fortnite', 'account', 'sale', 'fortnite', 'account', 'sale', 'fortnite', 'og', 'accounts', 'fortnite', 'account', 'sale', 'fortnite', 'account', 'shop', 'buy', 'fortnite', 'account', 'xbox', 'buy', 'fortnite', 'accounts', 'genshin', 'impact', 'account', 'sale', 'genshin', 'accounts', 'sale', 'fortnite', 'account', 'buy', 'fortnight', 'accounts', 'fortnite', 'accounts', 'sale', 'og', 'genshin', 'account', 'sale', 'genshin', 'accounts', 'fortnite', 'account', 'kaufen', 'buy', 'genshin', 'impact', 'account', 'og', 'fortnite', 'account', 'sale', 'cheap', 'fortnite', 'accounts', 'sale', 'og', 'fortnite', 'accounts', 'og', 'fortnite', 'accounts', 'og', 'fortnite', 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'accounts', 'clash', 'royale', 'accounts', 'sale', 'og', 'fortnite', 'acc', 'buy', 'clash', 'clans', 'account', 'fortnite', 'acounts', 'buy', 'fortnite', 'accounts', 'best', 'places', 'buy', 'fortnite', 'accounts', 'buy', 'league', 'legends', 'account', 'best', 'website', 'buy', 'fortnite', 'accounts', 'buy', 'fortnite', 'acc', 'legit', 'fortnite', 'accounts', 'buy', 'clash', 'royale', 'account', 'og', 'fortnite', 'accounts', 'cheap', 'buy', 'valorant', 'accounts', 'buy', 'lol', 'account', 'buy', 'legit', 'fortnite', 'accounts', 'clash', 'royale', 'account', 'sale', 'buy', 'fortnite', 'account', 'buy', 'fortnite', 'account', 'ps5', 'fornite', 'acc', 'valorant', 'account', 'buy', 'buy', 'fortnite', 'account', 'ps4', 'fornite', 'account', 'sale', 'much', 'valorant', 'account', 'worth', 'valorant', 'accounts', 'skins', 'much', 'fortnite', 'account', 'worth', 'fortnite', 'account', 'og', 'skins', 'og', 'fortnite', 'account', 'og', 'fortnite', 'account', 'og', 'fortnite', 'account', 'buy', 'lol', 'smurf', 'fortnite', 'account', 'sale', 'xbox', 'fortnite', 'account', 'website', 'fortnite', 'og', 'account', 'sale', 'valorant', 'account', 'skins', 'buy', 'fortnite', 'accounts', 'fortnite', 'acounts', 'sale', 'buy', 'og', 'fortnite', 'accounts', 'buy', 'genshin', 'accounts', 'gta', '5', 'modded', 'accounts', 'sale', 'og', 'fortnite', 'account', 'sale', 'og', 'fortnite', 'account', 'sale', 'coc', 'accounts', 'sale', 'full', 'access', 'fortnite', 'account', 'rust', 'accounts', 'fortnite', 'accounts', 'buy', 'fortnite', 'accounts', 'kaufen', 'fortnight', 'accounts', 'fortnight', 'accounts', 'fortnight', 'accounts', 'mystery', 'fortnite', 'account', 'fortnite', 'buy', 'accounts', 'cheap', 'buy', 'fortnite', 'account', 'buy', 'fn', 'accounts', 'fortnite', 'account', 'buy', 'fortnite', 'account', 'buy', 'fortnite', 'account', 'buy', 'buy', 'fortnite', 'account', '8', 'ball', 'pool', 'coins', 'fortnite', 'account', 'sales', 'fortnite', 'accounts', 'buy', 'gpo', 'law', 'outfit', 'og', 'fortnite', 'account', 'sale', 'osrs', 'accounts', 'sale', 'fortnite', 'account', 'seller', 'cheap', 'fn', 'accounts', 'osrs', 'accounts', 'fortnite', 'accounts', 'shop', 'trusted', 'fortnite', 'account', 'websites', 'cheap', 'fortnite', 'accounts', 'sale', 'cheap', 'fortnite', 'accounts', 'sale', 'fortnite', 'accounts', 'cheap', 'fortnite', 'accounts', 'sale', 'fortnite', 'accounts', 'buy', 'fortnite', 'accounts', 'legit', 'buy', 'fortnite', 'accounts', 'legit', 'hellenwong', 'lol', 'accounts', 'buy', 'fortnite', 'accounts', 'legit', 'csgo', 'accounts', 'sale', 'clash', 'clans', 'accounts', 'sale', 'clash', 'royale', 'accounts', 'fortnite', 'accounts', 'rust', 'accounts', 'sale', 'buy', 'league', 'account', 'og', 'account', 'fortnite', 'fortnite', 'account', 'sale', 'fortnite', 'account', 'sale', 'fortnite', 'account', 'sale', 'cheap', 'rust', 'accounts', 'buying', 'fortnite', 'account', 'modded', 'fortnite', 'accounts', 'buy', 'fortnite', 'accounts', 'legit', 'buy', 'genshin', 'accounts', 'buy', 'og', 'fortnite', 'account', 'valorant', 'account', 'worth', 'league', 'legends', 'accounts', 'sale', 'buy', 'fortnite', 'accounts', 'buy', 'fortnite', 'accounts', 'buy', 'fortnite', 'accounts', 'fortnite', 'accs', 'sale', 'lol', 'smurf', 'accounts', 'lol', 'account', 'buy', 'fortnite', 'accounts', 'buy', 'fortnite', 'accounts', 'buy', 'fortnite', 'accounts', 'fortnite', 'account', 'sale', 'ps4', 'buy', 'account', 'genshin', 'impact', 'buy', 'fortnite', 'accounts', 'og', 'buy', 'fortnite', 'accounts', 'og', 'buy', 'fortnite', 'accounts', 'og', 'valorant', 'account', 'value', 'fortnite', 'account', 'buy', 'pica', 'smash', 'gpo', 'fortnite', 'accounts', 'sell', 'fortnite', 'accounts', 'sell', 'fortnite', 'mystery', 'box', 'account', 'fortnite', 'accounts', 'sale', 'legit', 'genshin', 'buy', 'account', 'stacked', 'fortnite', 'accounts', 'cheap', 'fortnite', 'accounts', 'ps4', 'buying', 'genshin', 'accounts', 'best', 'websites', 'buy', 'fortnite', 'accounts', 'best', 'place', 'buy', 'og', 'fortnite', 'accounts', 'fortnite', 'account', 'shops', '1', 'dollar', 'fortnite', 'account', 'buy', 'roblox', 'items', 'buy', 'fortnite', 'account', 'safely', 'cheap', 'valorant', 'accounts', 'league', 'legends', 'accounts', 'buy', 'osrs', 'account', 'clash', 'royale', 'account', 'og', 'fortnight', 'account', 'buy', 'fortnite', 'account', 'buy', 'fortnite', 'account', 'buy', 'fortnite', 'account', 'cheap', 'fortnite', 'acc', 'buy', 'fortnite', 'account', 'pc', 'best', 'fortnite', 'account', 'seller', 'fortnite', 'acount', 'sale', 'fortnite', 'accounts', 'og', 'fortnite', 'accounts', 'og', 'fortnite', 'accounts', 'og', 'fortnite', 'sale', 'buy', '8', 'ball', 'pool', 'coins', 'genshin', 'account', 'sale', 'clash', 'clans', 'accounts', 'fortnite', 'accounts', 'ps5', 'gta', 'accounts', 'sale']\n",
            "Recurrence of keywords: [('fortnite', 160), ('accounts', 118), ('account', 100), ('buy', 76), ('sale', 59), ('og', 41), ('cheap', 22), ('genshin', 19), ('valorant', 12), ('legit', 11), ('clash', 9), ('impact', 8), ('fortnight', 6), ('acc', 6), ('best', 6), ('xbox', 5), ('buying', 5), ('royale', 5), ('lol', 5), ('sell', 4), ('clans', 4), ('fornite', 4), ('league', 4), ('shop', 3), ('gpo', 3), ('modded', 3), ('website', 3), ('legends', 3), ('ps4', 3), ('worth', 3), ('skins', 3), ('rust', 3), ('osrs', 3), ('kaufen', 2), ('law', 2), ('outfit', 2), ('place', 2), ('accs', 2), ('acounts', 2), ('ps5', 2), ('much', 2), ('smurf', 2), ('gta', 2), ('mystery', 2), ('fn', 2), ('8', 2), ('ball', 2), ('pool', 2), ('coins', 2), ('seller', 2), ('websites', 2), ('buyer', 1), ('places', 1), ('5', 1), ('coc', 1), ('full', 1), ('access', 1), ('sales', 1), ('trusted', 1), ('hellenwong', 1), ('csgo', 1), ('value', 1), ('pica', 1), ('smash', 1), ('box', 1), ('stacked', 1), ('shops', 1), ('1', 1), ('dollar', 1), ('roblox', 1), ('items', 1), ('safely', 1), ('pc', 1), ('acount', 1)]\n"
          ]
        },
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "Calcolo ricorrenze: 100%|██████████| 238/238 [00:00<00:00, 9929.62it/s]"
          ]
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "238\n"
          ]
        },
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "\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",
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              "      <th>ctr</th>\n",
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              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>fortnite accounts</td>\n",
              "      <td>https://www.playersloot.com/products/fortnite/...</td>\n",
              "      <td>516</td>\n",
              "      <td>9628</td>\n",
              "      <td>5.36%</td>\n",
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              "      <td>5.04%</td>\n",
              "      <td>greater</td>\n",
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              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>fortnite accounts for sale</td>\n",
              "      <td>https://www.playersloot.com/products/fortnite/...</td>\n",
              "      <td>255</td>\n",
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              "      <td>account</td>\n",
              "      <td>account fortnite sale</td>\n",
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              "      <td>fortnit account sale</td>\n",
              "      <td>fortnite account sale</td>\n",
              "      <td>accounts sale</td>\n",
              "      <td>Non-branded</td>\n",
              "      <td>2.09%</td>\n",
              "      <td>greater</td>\n",
              "      <td>fortnite</td>\n",
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              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>fortnite account for sale</td>\n",
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              "      <td>25</td>\n",
              "      <td>account fortnit sale</td>\n",
              "      <td>account</td>\n",
              "      <td>account fortnite sale</td>\n",
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              "      <td>fortnit account sale</td>\n",
              "      <td>fortnite account sale</td>\n",
              "      <td>account sale</td>\n",
              "      <td>Non-branded</td>\n",
              "      <td>3.06%</td>\n",
              "      <td>greater</td>\n",
              "      <td>fortnite</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>fortnite account</td>\n",
              "      <td>https://www.playersloot.com/products/fortnite/...</td>\n",
              "      <td>315</td>\n",
              "      <td>4760</td>\n",
              "      <td>6.62%</td>\n",
              "      <td>22</td>\n",
              "      <td>16</td>\n",
              "      <td>account fortnit</td>\n",
              "      <td>account</td>\n",
              "      <td>account fortnite</td>\n",
              "      <td>account</td>\n",
              "      <td>fortnit account</td>\n",
              "      <td>fortnite account</td>\n",
              "      <td>account</td>\n",
              "      <td>Non-branded</td>\n",
              "      <td>5.82%</td>\n",
              "      <td>greater</td>\n",
              "      <td>fortnite</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>og fortnite accounts</td>\n",
              "      <td>https://www.playersloot.com/products/fortnite/...</td>\n",
              "      <td>152</td>\n",
              "      <td>4312</td>\n",
              "      <td>3.53%</td>\n",
              "      <td>11</td>\n",
              "      <td>20</td>\n",
              "      <td>account fortnit og</td>\n",
              "      <td>account</td>\n",
              "      <td>account fortnite og</td>\n",
              "      <td>account</td>\n",
              "      <td>og fortnit account</td>\n",
              "      <td>og fortnite account</td>\n",
              "      <td>accounts</td>\n",
              "      <td>Non-branded</td>\n",
              "      <td>3.83%</td>\n",
              "      <td>lower</td>\n",
              "      <td>fortnite</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                         query  \\\n",
              "0            fortnite accounts   \n",
              "1   fortnite accounts for sale   \n",
              "2    fortnite account for sale   \n",
              "9             fortnite account   \n",
              "10        og fortnite accounts   \n",
              "\n",
              "                                                 page  clicks  impressions  \\\n",
              "0   https://www.playersloot.com/products/fortnite/...     516         9628   \n",
              "1   https://www.playersloot.com/products/fortnite/...     255         8832   \n",
              "2   https://www.playersloot.com/products/fortnite/...     406         8677   \n",
              "9   https://www.playersloot.com/products/fortnite/...     315         4760   \n",
              "10  https://www.playersloot.com/products/fortnite/...     152         4312   \n",
              "\n",
              "     ctr  position  Char Stems Ordered by frequency Strongest word stem  \\\n",
              "0  5.36%        14    17            account fortnit             account   \n",
              "1  2.89%        10    26       account fortnit sale             account   \n",
              "2  4.68%         8    25       account fortnit sale             account   \n",
              "9  6.62%        22    16            account fortnit             account   \n",
              "10 3.53%        11    20         account fortnit og             account   \n",
              "\n",
              "   Lemmas Ordered by frequency Strongest lemma              Stemming  \\\n",
              "0             account fortnite         account       fortnit account   \n",
              "1        account fortnite sale         account  fortnit account sale   \n",
              "2        account fortnite sale         account  fortnit account sale   \n",
              "9             account fortnite         account       fortnit account   \n",
              "10         account fortnite og         account    og fortnit account   \n",
              "\n",
              "               Lemmatized    spacy_nouns Brand/Non-branded  \\\n",
              "0        fortnite account       accounts       Non-branded   \n",
              "1   fortnite account sale  accounts sale       Non-branded   \n",
              "2   fortnite account sale   account sale       Non-branded   \n",
              "9        fortnite account        account       Non-branded   \n",
              "10    og fortnite account       accounts       Non-branded   \n",
              "\n",
              "    website_avg_ctr_by_pos comparison main_query  \n",
              "0                    5.04%    greater   fortnite  \n",
              "1                    2.09%    greater   fortnite  \n",
              "2                    3.06%    greater   fortnite  \n",
              "9                    5.82%    greater   fortnite  \n",
              "10                   3.83%      lower   fortnite  "
            ]
          },
          "execution_count": 52,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# CALCOLO DEI TERMINI PIU FREQUENTI #\n",
        "#####################################\n",
        "merged_df3 = pd.DataFrame()\n",
        "merged_df3 = merged_df2.copy()\n",
        "# Crea una lista vuota per inserire i termini singoli\n",
        "terms = []\n",
        "# Itera su ogni riga della colonna \"termini_singoli\"\n",
        "for row in tqdm(merged_df3['termini_singoli']):\n",
        "    # Estrae tutti gli elementi della lista\n",
        "    for term in row:\n",
        "        # Aggiunge il termine alla lista\n",
        "        terms.append(term)\n",
        "print(\"Single keywords: \"+str(terms))\n",
        "# Conta quante volte ogni termine appare nella lista\n",
        "term_counts = Counter(terms)\n",
        "# Ordina i termini in base al numero di occorrenze\n",
        "sorted_terms = sorted(term_counts.items(), key=lambda x: x[1], reverse=True)\n",
        "print(\"Recurrence of keywords: \"+str(sorted_terms))\n",
        "# crea una nuova colonna nel dataframe\n",
        "merged_df3['main_query'] = None\n",
        "# Creare un dizionario di termini e frequenze\n",
        "term_freq = dict(sorted_terms)\n",
        "for index, row in tqdm(merged_df3.iterrows(), total=merged_df3.shape[0], desc=\"Calcolo ricorrenze\"):\n",
        "  terms = row['termini_singoli']\n",
        "  max_term = None\n",
        "  max_freq = 0\n",
        "  # Utilizzare il dizionario per ottenere la frequenza dei termini\n",
        "  for term in terms:\n",
        "    freq = term_freq.get(term, 0)\n",
        "    if freq > max_freq:\n",
        "      max_term = term\n",
        "      max_freq = freq\n",
        "  # crea la colonna main_query\n",
        "  merged_df3.at[index, 'main_query'] = max_term\n",
        "# cancella colonna usata per calcoli\n",
        "del merged_df3[\"termini_singoli\"]\n",
        "print(merged_df3.shape[0])\n",
        "merged_df3.head(5)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 53,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "_6PXLAbBAWJM",
        "outputId": "8101284e-b1be-4353-c60b-eb46c5fbf111"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "238\n"
          ]
        },
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              "      <td>26</td>\n",
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              "      <td>account fortnite sale</td>\n",
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              "      <td>8</td>\n",
              "      <td>25</td>\n",
              "      <td>account fortnit sale</td>\n",
              "      <td>account</td>\n",
              "      <td>account fortnite sale</td>\n",
              "      <td>...</td>\n",
              "      <td>fortnite account sale</td>\n",
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              "      <td>Non-branded</td>\n",
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              "      <td>greater</td>\n",
              "      <td>fortnite</td>\n",
              "      <td>products</td>\n",
              "      <td>fortnite</td>\n",
              "      <td>fortnite-accounts</td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>3 rows × 22 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                        query  \\\n",
              "0           fortnite accounts   \n",
              "1  fortnite accounts for sale   \n",
              "2   fortnite account for sale   \n",
              "\n",
              "                                                page  clicks  impressions  \\\n",
              "0  https://www.playersloot.com/products/fortnite/...     516         9628   \n",
              "1  https://www.playersloot.com/products/fortnite/...     255         8832   \n",
              "2  https://www.playersloot.com/products/fortnite/...     406         8677   \n",
              "\n",
              "    ctr  position  Char Stems Ordered by frequency Strongest word stem  \\\n",
              "0 5.36%        14    17            account fortnit             account   \n",
              "1 2.89%        10    26       account fortnit sale             account   \n",
              "2 4.68%         8    25       account fortnit sale             account   \n",
              "\n",
              "  Lemmas Ordered by frequency  ...             Lemmatized    spacy_nouns  \\\n",
              "0            account fortnite  ...       fortnite account       accounts   \n",
              "1       account fortnite sale  ...  fortnite account sale  accounts sale   \n",
              "2       account fortnite sale  ...  fortnite account sale   account sale   \n",
              "\n",
              "  Brand/Non-branded website_avg_ctr_by_pos comparison  main_query folder_lv1  \\\n",
              "0       Non-branded                  5.04%    greater    fortnite   products   \n",
              "1       Non-branded                  2.09%    greater    fortnite   products   \n",
              "2       Non-branded                  3.06%    greater    fortnite   products   \n",
              "\n",
              "  folder_lv2         folder_lv3 folder_lv4  \n",
              "0   fortnite  fortnite-accounts             \n",
              "1   fortnite  fortnite-accounts             \n",
              "2   fortnite  fortnite-accounts             \n",
              "\n",
              "[3 rows x 22 columns]"
            ]
          },
          "execution_count": 53,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# crea 3 colonne con split URL path\n",
        "###################################\n",
        "# crea copia db\n",
        "merged_df4 = merged_df3.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": 54,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "yyAlQdD24bSN",
        "outputId": "e9c30bcb-644f-4332-e577-78fe6fda1a23"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Processing completed.8\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>Stems Ordered by frequency</th>\n",
              "      <th>Strongest word stem</th>\n",
              "      <th>Lemmas Ordered by frequency</th>\n",
              "      <th>...</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>main_query</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>fortnite accounts</td>\n",
              "      <td>https://www.playersloot.com/products/fortnite/...</td>\n",
              "      <td>516</td>\n",
              "      <td>9628</td>\n",
              "      <td>5.36%</td>\n",
              "      <td>14</td>\n",
              "      <td>17</td>\n",
              "      <td>account fortnit</td>\n",
              "      <td>account</td>\n",
              "      <td>account fortnite</td>\n",
              "      <td>...</td>\n",
              "      <td>accounts</td>\n",
              "      <td>Non-branded</td>\n",
              "      <td>5.04%</td>\n",
              "      <td>greater</td>\n",
              "      <td>fortnite</td>\n",
              "      <td>products</td>\n",
              "      <td>fortnite</td>\n",
              "      <td>fortnite-accounts</td>\n",
              "      <td></td>\n",
              "      <td>fortnite accounts, fortnite accounts for sale,...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>fortnite accounts for sale</td>\n",
              "      <td>https://www.playersloot.com/products/fortnite/...</td>\n",
              "      <td>255</td>\n",
              "      <td>8832</td>\n",
              "      <td>2.89%</td>\n",
              "      <td>10</td>\n",
              "      <td>26</td>\n",
              "      <td>account fortnit sale</td>\n",
              "      <td>account</td>\n",
              "      <td>account fortnite sale</td>\n",
              "      <td>...</td>\n",
              "      <td>accounts sale</td>\n",
              "      <td>Non-branded</td>\n",
              "      <td>2.09%</td>\n",
              "      <td>greater</td>\n",
              "      <td>fortnite</td>\n",
              "      <td>products</td>\n",
              "      <td>fortnite</td>\n",
              "      <td>fortnite-accounts</td>\n",
              "      <td></td>\n",
              "      <td>fortnite accounts, fortnite accounts for sale,...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>fortnite account for sale</td>\n",
              "      <td>https://www.playersloot.com/products/fortnite/...</td>\n",
              "      <td>406</td>\n",
              "      <td>8677</td>\n",
              "      <td>4.68%</td>\n",
              "      <td>8</td>\n",
              "      <td>25</td>\n",
              "      <td>account fortnit sale</td>\n",
              "      <td>account</td>\n",
              "      <td>account fortnite sale</td>\n",
              "      <td>...</td>\n",
              "      <td>account sale</td>\n",
              "      <td>Non-branded</td>\n",
              "      <td>3.06%</td>\n",
              "      <td>greater</td>\n",
              "      <td>fortnite</td>\n",
              "      <td>products</td>\n",
              "      <td>fortnite</td>\n",
              "      <td>fortnite-accounts</td>\n",
              "      <td></td>\n",
              "      <td>fortnite accounts, fortnite accounts for sale,...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>3 rows × 23 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                        query  \\\n",
              "0           fortnite accounts   \n",
              "1  fortnite accounts for sale   \n",
              "2   fortnite account for sale   \n",
              "\n",
              "                                                page  clicks  impressions  \\\n",
              "0  https://www.playersloot.com/products/fortnite/...     516         9628   \n",
              "1  https://www.playersloot.com/products/fortnite/...     255         8832   \n",
              "2  https://www.playersloot.com/products/fortnite/...     406         8677   \n",
              "\n",
              "    ctr  position  Char Stems Ordered by frequency Strongest word stem  \\\n",
              "0 5.36%        14    17            account fortnit             account   \n",
              "1 2.89%        10    26       account fortnit sale             account   \n",
              "2 4.68%         8    25       account fortnit sale             account   \n",
              "\n",
              "  Lemmas Ordered by frequency  ...    spacy_nouns Brand/Non-branded  \\\n",
              "0            account fortnite  ...       accounts       Non-branded   \n",
              "1       account fortnite sale  ...  accounts sale       Non-branded   \n",
              "2       account fortnite sale  ...   account sale       Non-branded   \n",
              "\n",
              "  website_avg_ctr_by_pos comparison main_query  folder_lv1 folder_lv2  \\\n",
              "0                  5.04%    greater   fortnite    products   fortnite   \n",
              "1                  2.09%    greater   fortnite    products   fortnite   \n",
              "2                  3.06%    greater   fortnite    products   fortnite   \n",
              "\n",
              "          folder_lv3 folder_lv4  \\\n",
              "0  fortnite-accounts              \n",
              "1  fortnite-accounts              \n",
              "2  fortnite-accounts              \n",
              "\n",
              "                                       top_5_queries  \n",
              "0  fortnite accounts, fortnite accounts for sale,...  \n",
              "1  fortnite accounts, fortnite accounts for sale,...  \n",
              "2  fortnite accounts, fortnite accounts for sale,...  \n",
              "\n",
              "[3 rows x 23 columns]"
            ]
          },
          "execution_count": 54,
          "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": 55,
      "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\", \"Ordered by frequency\", \"Strongest word stem\",\"spacy_nouns\",\"main_query\",\"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": 56,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Somma totale dei clicks: 4639\n",
            "Somma totale delle impressions: 118003\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>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>main_query</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>fortnite accounts</td>\n",
              "      <td>17</td>\n",
              "      <td>https://www.playersloot.com/products/fortnite/...</td>\n",
              "      <td>516</td>\n",
              "      <td>9628</td>\n",
              "      <td>14</td>\n",
              "      <td>5.36%</td>\n",
              "      <td>5.04%</td>\n",
              "      <td>greater</td>\n",
              "      <td>NaN</td>\n",
              "      <td>account</td>\n",
              "      <td>accounts</td>\n",
              "      <td>fortnite</td>\n",
              "      <td>fortnite accounts, fortnite accounts for sale,...</td>\n",
              "      <td>products</td>\n",
              "      <td>fortnite</td>\n",
              "      <td>fortnite-accounts</td>\n",
              "      <td>Non-branded</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>fortnite accounts for sale</td>\n",
              "      <td>26</td>\n",
              "      <td>https://www.playersloot.com/products/fortnite/...</td>\n",
              "      <td>255</td>\n",
              "      <td>8832</td>\n",
              "      <td>10</td>\n",
              "      <td>2.89%</td>\n",
              "      <td>2.09%</td>\n",
              "      <td>greater</td>\n",
              "      <td>NaN</td>\n",
              "      <td>account</td>\n",
              "      <td>accounts sale</td>\n",
              "      <td>fortnite</td>\n",
              "      <td>fortnite accounts, fortnite accounts for sale,...</td>\n",
              "      <td>products</td>\n",
              "      <td>fortnite</td>\n",
              "      <td>fortnite-accounts</td>\n",
              "      <td>Non-branded</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>fortnite account for sale</td>\n",
              "      <td>25</td>\n",
              "      <td>https://www.playersloot.com/products/fortnite/...</td>\n",
              "      <td>406</td>\n",
              "      <td>8677</td>\n",
              "      <td>8</td>\n",
              "      <td>4.68%</td>\n",
              "      <td>3.06%</td>\n",
              "      <td>greater</td>\n",
              "      <td>NaN</td>\n",
              "      <td>account</td>\n",
              "      <td>account sale</td>\n",
              "      <td>fortnite</td>\n",
              "      <td>fortnite accounts, fortnite accounts for sale,...</td>\n",
              "      <td>products</td>\n",
              "      <td>fortnite</td>\n",
              "      <td>fortnite-accounts</td>\n",
              "      <td>Non-branded</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>fortnite account</td>\n",
              "      <td>16</td>\n",
              "      <td>https://www.playersloot.com/products/fortnite/...</td>\n",
              "      <td>315</td>\n",
              "      <td>4760</td>\n",
              "      <td>22</td>\n",
              "      <td>6.62%</td>\n",
              "      <td>5.82%</td>\n",
              "      <td>greater</td>\n",
              "      <td>NaN</td>\n",
              "      <td>account</td>\n",
              "      <td>account</td>\n",
              "      <td>fortnite</td>\n",
              "      <td>fortnite accounts, fortnite accounts for sale,...</td>\n",
              "      <td>products</td>\n",
              "      <td>fortnite</td>\n",
              "      <td>fortnite-accounts</td>\n",
              "      <td>Non-branded</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>og fortnite accounts</td>\n",
              "      <td>20</td>\n",
              "      <td>https://www.playersloot.com/products/fortnite/...</td>\n",
              "      <td>152</td>\n",
              "      <td>4312</td>\n",
              "      <td>11</td>\n",
              "      <td>3.53%</td>\n",
              "      <td>3.83%</td>\n",
              "      <td>lower</td>\n",
              "      <td>NaN</td>\n",
              "      <td>account</td>\n",
              "      <td>accounts</td>\n",
              "      <td>fortnite</td>\n",
              "      <td>fortnite accounts, fortnite accounts for sale,...</td>\n",
              "      <td>products</td>\n",
              "      <td>fortnite</td>\n",
              "      <td>fortnite-accounts</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",
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              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>312</th>\n",
              "      <td>buy 8 ball pool coins</td>\n",
              "      <td>21</td>\n",
              "      <td>https://www.playersloot.com/products/8-ball-po...</td>\n",
              "      <td>2</td>\n",
              "      <td>101</td>\n",
              "      <td>13</td>\n",
              "      <td>1.98%</td>\n",
              "      <td>3.10%</td>\n",
              "      <td>lower</td>\n",
              "      <td>NaN</td>\n",
              "      <td>buy</td>\n",
              "      <td>ball pool coins</td>\n",
              "      <td>buy</td>\n",
              "      <td>8 ball pool coins, buy 8 ball pool coins</td>\n",
              "      <td>products</td>\n",
              "      <td>8-ball-pool</td>\n",
              "      <td>8-ball-pool-coins</td>\n",
              "      <td>Non-branded</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>316</th>\n",
              "      <td>genshin account sale</td>\n",
              "      <td>20</td>\n",
              "      <td>https://www.playersloot.com/products/genshin-i...</td>\n",
              "      <td>2</td>\n",
              "      <td>101</td>\n",
              "      <td>10</td>\n",
              "      <td>1.98%</td>\n",
              "      <td>2.09%</td>\n",
              "      <td>lower</td>\n",
              "      <td>NaN</td>\n",
              "      <td>account</td>\n",
              "      <td>account sale</td>\n",
              "      <td>account</td>\n",
              "      <td>genshin impact account for sale, genshin accou...</td>\n",
              "      <td>products</td>\n",
              "      <td>genshin-impact</td>\n",
              "      <td>genshin-impact-accounts</td>\n",
              "      <td>Non-branded</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>315</th>\n",
              "      <td>clash of clans accounts</td>\n",
              "      <td>23</td>\n",
              "      <td>https://www.playersloot.com/products/clash-of-...</td>\n",
              "      <td>0</td>\n",
              "      <td>101</td>\n",
              "      <td>26</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>1.36%</td>\n",
              "      <td>lower</td>\n",
              "      <td>NaN</td>\n",
              "      <td>account</td>\n",
              "      <td>clash clans accounts</td>\n",
              "      <td>accounts</td>\n",
              "      <td>clash of clans account for sale, buy clash of ...</td>\n",
              "      <td>products</td>\n",
              "      <td>clash-of-clans</td>\n",
              "      <td>clash-of-clans-accounts</td>\n",
              "      <td>Non-branded</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>317</th>\n",
              "      <td>fortnite accounts ps5</td>\n",
              "      <td>21</td>\n",
              "      <td>https://www.playersloot.com/products/fortnite/...</td>\n",
              "      <td>4</td>\n",
              "      <td>100</td>\n",
              "      <td>9</td>\n",
              "      <td>4.00%</td>\n",
              "      <td>2.71%</td>\n",
              "      <td>greater</td>\n",
              "      <td>NaN</td>\n",
              "      <td>account</td>\n",
              "      <td>accounts</td>\n",
              "      <td>fortnite</td>\n",
              "      <td>fortnite accounts, fortnite accounts for sale,...</td>\n",
              "      <td>products</td>\n",
              "      <td>fortnite</td>\n",
              "      <td>fortnite-accounts</td>\n",
              "      <td>Non-branded</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>318</th>\n",
              "      <td>gta accounts for sale</td>\n",
              "      <td>21</td>\n",
              "      <td>https://www.playersloot.com/products/gta-v/gta...</td>\n",
              "      <td>1</td>\n",
              "      <td>100</td>\n",
              "      <td>16</td>\n",
              "      <td>1.00%</td>\n",
              "      <td>2.64%</td>\n",
              "      <td>lower</td>\n",
              "      <td>NaN</td>\n",
              "      <td>account</td>\n",
              "      <td>accounts sale</td>\n",
              "      <td>accounts</td>\n",
              "      <td>gta 5 modded accounts for sale, gta accounts f...</td>\n",
              "      <td>products</td>\n",
              "      <td>gta-v</td>\n",
              "      <td>gta-v-accounts</td>\n",
              "      <td>Non-branded</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>238 rows × 18 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                          query  Char  \\\n",
              "0             fortnite accounts    17   \n",
              "1    fortnite accounts for sale    26   \n",
              "2     fortnite account for sale    25   \n",
              "9              fortnite account    16   \n",
              "10         og fortnite accounts    20   \n",
              "..                          ...   ...   \n",
              "312       buy 8 ball pool coins    21   \n",
              "316        genshin account sale    20   \n",
              "315     clash of clans accounts    23   \n",
              "317       fortnite accounts ps5    21   \n",
              "318       gta accounts for sale    21   \n",
              "\n",
              "                                                  page  clicks  impressions  \\\n",
              "0    https://www.playersloot.com/products/fortnite/...     516         9628   \n",
              "1    https://www.playersloot.com/products/fortnite/...     255         8832   \n",
              "2    https://www.playersloot.com/products/fortnite/...     406         8677   \n",
              "9    https://www.playersloot.com/products/fortnite/...     315         4760   \n",
              "10   https://www.playersloot.com/products/fortnite/...     152         4312   \n",
              "..                                                 ...     ...          ...   \n",
              "312  https://www.playersloot.com/products/8-ball-po...       2          101   \n",
              "316  https://www.playersloot.com/products/genshin-i...       2          101   \n",
              "315  https://www.playersloot.com/products/clash-of-...       0          101   \n",
              "317  https://www.playersloot.com/products/fortnite/...       4          100   \n",
              "318  https://www.playersloot.com/products/gta-v/gta...       1          100   \n",
              "\n",
              "     position   ctr  website_avg_ctr_by_pos comparison  Ordered by frequency  \\\n",
              "0          14 5.36%                   5.04%    greater                   NaN   \n",
              "1          10 2.89%                   2.09%    greater                   NaN   \n",
              "2           8 4.68%                   3.06%    greater                   NaN   \n",
              "9          22 6.62%                   5.82%    greater                   NaN   \n",
              "10         11 3.53%                   3.83%      lower                   NaN   \n",
              "..        ...   ...                     ...        ...                   ...   \n",
              "312        13 1.98%                   3.10%      lower                   NaN   \n",
              "316        10 1.98%                   2.09%      lower                   NaN   \n",
              "315        26 0.00%                   1.36%      lower                   NaN   \n",
              "317         9 4.00%                   2.71%    greater                   NaN   \n",
              "318        16 1.00%                   2.64%      lower                   NaN   \n",
              "\n",
              "    Strongest word stem           spacy_nouns main_query  \\\n",
              "0               account              accounts   fortnite   \n",
              "1               account         accounts sale   fortnite   \n",
              "2               account          account sale   fortnite   \n",
              "9               account               account   fortnite   \n",
              "10              account              accounts   fortnite   \n",
              "..                  ...                   ...        ...   \n",
              "312                 buy       ball pool coins        buy   \n",
              "316             account          account sale    account   \n",
              "315             account  clash clans accounts   accounts   \n",
              "317             account              accounts   fortnite   \n",
              "318             account         accounts sale   accounts   \n",
              "\n",
              "                                         top_5_queries folder_lv1  \\\n",
              "0    fortnite accounts, fortnite accounts for sale,...   products   \n",
              "1    fortnite accounts, fortnite accounts for sale,...   products   \n",
              "2    fortnite accounts, fortnite accounts for sale,...   products   \n",
              "9    fortnite accounts, fortnite accounts for sale,...   products   \n",
              "10   fortnite accounts, fortnite accounts for sale,...   products   \n",
              "..                                                 ...        ...   \n",
              "312           8 ball pool coins, buy 8 ball pool coins   products   \n",
              "316  genshin impact account for sale, genshin accou...   products   \n",
              "315  clash of clans account for sale, buy clash of ...   products   \n",
              "317  fortnite accounts, fortnite accounts for sale,...   products   \n",
              "318  gta 5 modded accounts for sale, gta accounts f...   products   \n",
              "\n",
              "         folder_lv2               folder_lv3 Brand/Non-branded  \n",
              "0          fortnite        fortnite-accounts       Non-branded  \n",
              "1          fortnite        fortnite-accounts       Non-branded  \n",
              "2          fortnite        fortnite-accounts       Non-branded  \n",
              "9          fortnite        fortnite-accounts       Non-branded  \n",
              "10         fortnite        fortnite-accounts       Non-branded  \n",
              "..              ...                      ...               ...  \n",
              "312     8-ball-pool        8-ball-pool-coins       Non-branded  \n",
              "316  genshin-impact  genshin-impact-accounts       Non-branded  \n",
              "315  clash-of-clans  clash-of-clans-accounts       Non-branded  \n",
              "317        fortnite        fortnite-accounts       Non-branded  \n",
              "318           gta-v           gta-v-accounts       Non-branded  \n",
              "\n",
              "[238 rows x 18 columns]"
            ]
          },
          "execution_count": 56,
          "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": 57,
      "metadata": {},
      "outputs": [
        {
          "data": {
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              "\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></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",
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              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>buy fortnite account</th>\n",
              "      <th>https://www.playersloot.com/product?v=ayO4lg</th>\n",
              "      <td>0</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>104</td>\n",
              "      <td>10</td>\n",
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              "    <tr>\n",
              "      <th>buy fortnite account</th>\n",
              "      <th>https://www.playersloot.com/product?v=gMjk9b</th>\n",
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              "    </tr>\n",
              "    <tr>\n",
              "      <th>buy fortnite account</th>\n",
              "      <th>https://www.playersloot.com/product?v=gOXL90</th>\n",
              "      <td>0</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>104</td>\n",
              "      <td>10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>buy fortnite account</th>\n",
              "      <th>https://www.playersloot.com/products/fortnite/fortnite-accounts</th>\n",
              "      <td>132</td>\n",
              "      <td>4.34%</td>\n",
              "      <td>3044</td>\n",
              "      <td>12</td>\n",
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              "    <tr>\n",
              "      <th>buy fortnite account xbox</th>\n",
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              "      <td>0</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>284</td>\n",
              "      <td>4</td>\n",
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              "    <tr>\n",
              "      <th>buy fortnite account xbox</th>\n",
              "      <th>https://www.playersloot.com/product?v=gMjk9b</th>\n",
              "      <td>0</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>284</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>buy fortnite account xbox</th>\n",
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              "      <td>0</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>268</td>\n",
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              "      <th>buy fortnite account xbox</th>\n",
              "      <th>https://www.playersloot.com/products/fortnite/fortnite-accounts</th>\n",
              "      <td>67</td>\n",
              "      <td>5.11%</td>\n",
              "      <td>1310</td>\n",
              "      <td>5</td>\n",
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              "    <tr>\n",
              "      <th>buy fortnite accounts</th>\n",
              "      <th>https://www.playersloot.com/product?v=ayO4lg</th>\n",
              "      <td>0</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>120</td>\n",
              "      <td>10</td>\n",
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              "    <tr>\n",
              "      <th>buy fortnite accounts</th>\n",
              "      <th>https://www.playersloot.com/product?v=gMjk9b</th>\n",
              "      <td>0</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>120</td>\n",
              "      <td>10</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                                                              clicks  \\\n",
              "query                     page                                                         \n",
              "buy fortnite account      https://www.playersloot.com/product?v=ayO4lg             0   \n",
              "buy fortnite account      https://www.playersloot.com/product?v=gMjk9b             0   \n",
              "buy fortnite account      https://www.playersloot.com/product?v=gOXL90             0   \n",
              "buy fortnite account      https://www.playersloot.com/products/fortnite/f...     132   \n",
              "buy fortnite account xbox https://www.playersloot.com/product?v=ayO4lg             0   \n",
              "buy fortnite account xbox https://www.playersloot.com/product?v=gMjk9b             0   \n",
              "buy fortnite account xbox https://www.playersloot.com/product?v=gOXL90             0   \n",
              "buy fortnite account xbox https://www.playersloot.com/products/fortnite/f...      67   \n",
              "buy fortnite accounts     https://www.playersloot.com/product?v=ayO4lg             0   \n",
              "buy fortnite accounts     https://www.playersloot.com/product?v=gMjk9b             0   \n",
              "\n",
              "                                                                               ctr  \\\n",
              "query                     page                                                       \n",
              "buy fortnite account      https://www.playersloot.com/product?v=ayO4lg       0.00%   \n",
              "buy fortnite account      https://www.playersloot.com/product?v=gMjk9b       0.00%   \n",
              "buy fortnite account      https://www.playersloot.com/product?v=gOXL90       0.00%   \n",
              "buy fortnite account      https://www.playersloot.com/products/fortnite/f... 4.34%   \n",
              "buy fortnite account xbox https://www.playersloot.com/product?v=ayO4lg       0.00%   \n",
              "buy fortnite account xbox https://www.playersloot.com/product?v=gMjk9b       0.00%   \n",
              "buy fortnite account xbox https://www.playersloot.com/product?v=gOXL90       0.00%   \n",
              "buy fortnite account xbox https://www.playersloot.com/products/fortnite/f... 5.11%   \n",
              "buy fortnite accounts     https://www.playersloot.com/product?v=ayO4lg       0.00%   \n",
              "buy fortnite accounts     https://www.playersloot.com/product?v=gMjk9b       0.00%   \n",
              "\n",
              "                                                                              impressions  \\\n",
              "query                     page                                                              \n",
              "buy fortnite account      https://www.playersloot.com/product?v=ayO4lg                104   \n",
              "buy fortnite account      https://www.playersloot.com/product?v=gMjk9b                104   \n",
              "buy fortnite account      https://www.playersloot.com/product?v=gOXL90                104   \n",
              "buy fortnite account      https://www.playersloot.com/products/fortnite/f...         3044   \n",
              "buy fortnite account xbox https://www.playersloot.com/product?v=ayO4lg                284   \n",
              "buy fortnite account xbox https://www.playersloot.com/product?v=gMjk9b                284   \n",
              "buy fortnite account xbox https://www.playersloot.com/product?v=gOXL90                268   \n",
              "buy fortnite account xbox https://www.playersloot.com/products/fortnite/f...         1310   \n",
              "buy fortnite accounts     https://www.playersloot.com/product?v=ayO4lg                120   \n",
              "buy fortnite accounts     https://www.playersloot.com/product?v=gMjk9b                120   \n",
              "\n",
              "                                                                              position  \n",
              "query                     page                                                          \n",
              "buy fortnite account      https://www.playersloot.com/product?v=ayO4lg              10  \n",
              "buy fortnite account      https://www.playersloot.com/product?v=gMjk9b              10  \n",
              "buy fortnite account      https://www.playersloot.com/product?v=gOXL90              10  \n",
              "buy fortnite account      https://www.playersloot.com/products/fortnite/f...        12  \n",
              "buy fortnite account xbox https://www.playersloot.com/product?v=ayO4lg               4  \n",
              "buy fortnite account xbox https://www.playersloot.com/product?v=gMjk9b               4  \n",
              "buy fortnite account xbox https://www.playersloot.com/product?v=gOXL90               4  \n",
              "buy fortnite account xbox https://www.playersloot.com/products/fortnite/f...         5  \n",
              "buy fortnite accounts     https://www.playersloot.com/product?v=ayO4lg              10  \n",
              "buy fortnite accounts     https://www.playersloot.com/product?v=gMjk9b              10  "
            ]
          },
          "execution_count": 57,
          "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": 58,
      "metadata": {
        "id": "2qG0PR2diFUs"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Somma totale dei clicks: 3624\n",
            "Somma totale delle impressions: 106314\n"
          ]
        },
        {
          "data": {
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              "  <thead>\n",
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              "      <th></th>\n",
              "      <th>query</th>\n",
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              "      <th>impressions</th>\n",
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              "      <th>0</th>\n",
              "      <td>fortnite accounts</td>\n",
              "      <td>17</td>\n",
              "      <td>https://www.playersloot.com/products/fortnite/...</td>\n",
              "      <td>516</td>\n",
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              "      <td>https://www.playersloot.com/products/fortnite/...</td>\n",
              "      <td>255</td>\n",
              "      <td>8832</td>\n",
              "      <td>10</td>\n",
              "      <td>2.89%</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>fortnite account for sale</td>\n",
              "      <td>25</td>\n",
              "      <td>https://www.playersloot.com/products/fortnite/...</td>\n",
              "      <td>406</td>\n",
              "      <td>8677</td>\n",
              "      <td>8</td>\n",
              "      <td>4.68%</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>fortnite account</td>\n",
              "      <td>16</td>\n",
              "      <td>https://www.playersloot.com/products/fortnite/...</td>\n",
              "      <td>315</td>\n",
              "      <td>4760</td>\n",
              "      <td>22</td>\n",
              "      <td>6.62%</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>og fortnite accounts</td>\n",
              "      <td>20</td>\n",
              "      <td>https://www.playersloot.com/products/fortnite/...</td>\n",
              "      <td>152</td>\n",
              "      <td>4312</td>\n",
              "      <td>11</td>\n",
              "      <td>3.53%</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>312</th>\n",
              "      <td>buy 8 ball pool coins</td>\n",
              "      <td>21</td>\n",
              "      <td>https://www.playersloot.com/products/8-ball-po...</td>\n",
              "      <td>2</td>\n",
              "      <td>101</td>\n",
              "      <td>13</td>\n",
              "      <td>1.98%</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>316</th>\n",
              "      <td>genshin account sale</td>\n",
              "      <td>20</td>\n",
              "      <td>https://www.playersloot.com/products/genshin-i...</td>\n",
              "      <td>2</td>\n",
              "      <td>101</td>\n",
              "      <td>10</td>\n",
              "      <td>1.98%</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>315</th>\n",
              "      <td>clash of clans accounts</td>\n",
              "      <td>23</td>\n",
              "      <td>https://www.playersloot.com/products/clash-of-...</td>\n",
              "      <td>0</td>\n",
              "      <td>101</td>\n",
              "      <td>26</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>317</th>\n",
              "      <td>fortnite accounts ps5</td>\n",
              "      <td>21</td>\n",
              "      <td>https://www.playersloot.com/products/fortnite/...</td>\n",
              "      <td>4</td>\n",
              "      <td>100</td>\n",
              "      <td>9</td>\n",
              "      <td>4.00%</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>318</th>\n",
              "      <td>gta accounts for sale</td>\n",
              "      <td>21</td>\n",
              "      <td>https://www.playersloot.com/products/gta-v/gta...</td>\n",
              "      <td>1</td>\n",
              "      <td>100</td>\n",
              "      <td>16</td>\n",
              "      <td>1.00%</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>206 rows × 8 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                          query  Char  \\\n",
              "0             fortnite accounts    17   \n",
              "1    fortnite accounts for sale    26   \n",
              "2     fortnite account for sale    25   \n",
              "9              fortnite account    16   \n",
              "10         og fortnite accounts    20   \n",
              "..                          ...   ...   \n",
              "312       buy 8 ball pool coins    21   \n",
              "316        genshin account sale    20   \n",
              "315     clash of clans accounts    23   \n",
              "317       fortnite accounts ps5    21   \n",
              "318       gta accounts for sale    21   \n",
              "\n",
              "                                                  page  clicks  impressions  \\\n",
              "0    https://www.playersloot.com/products/fortnite/...     516         9628   \n",
              "1    https://www.playersloot.com/products/fortnite/...     255         8832   \n",
              "2    https://www.playersloot.com/products/fortnite/...     406         8677   \n",
              "9    https://www.playersloot.com/products/fortnite/...     315         4760   \n",
              "10   https://www.playersloot.com/products/fortnite/...     152         4312   \n",
              "..                                                 ...     ...          ...   \n",
              "312  https://www.playersloot.com/products/8-ball-po...       2          101   \n",
              "316  https://www.playersloot.com/products/genshin-i...       2          101   \n",
              "315  https://www.playersloot.com/products/clash-of-...       0          101   \n",
              "317  https://www.playersloot.com/products/fortnite/...       4          100   \n",
              "318  https://www.playersloot.com/products/gta-v/gta...       1          100   \n",
              "\n",
              "     position   ctr  Ordered by frequency  \n",
              "0          14 5.36%                   NaN  \n",
              "1          10 2.89%                   NaN  \n",
              "2           8 4.68%                   NaN  \n",
              "9          22 6.62%                   NaN  \n",
              "10         11 3.53%                   NaN  \n",
              "..        ...   ...                   ...  \n",
              "312        13 1.98%                   NaN  \n",
              "316        10 1.98%                   NaN  \n",
              "315        26 0.00%                   NaN  \n",
              "317         9 4.00%                   NaN  \n",
              "318        16 1.00%                   NaN  \n",
              "\n",
              "[206 rows x 8 columns]"
            ]
          },
          "execution_count": 58,
          "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', 'main_query','top_5_queries','Strongest word stem','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": 59,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Debug - URL: https://www.playersloot.com/products/fortnite/fortnite-accounts - 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.playersloot.com/products/fortnite/fortnite-accounts - Fortnite Accounts for Sale | Affordable & Secure | PlayersLoot\n",
            "Debug - URL: https://www.playersloot.com/products/genshin-impact/genshin-impact-accounts - 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>Ordered by frequency</th>\n",
              "      <th>Strongest word stem</th>\n",
              "      <th>spacy_nouns</th>\n",
              "      <th>main_query</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>fortnite accounts</td>\n",
              "      <td>17</td>\n",
              "      <td>https://www.playersloot.com/products/fortnite/...</td>\n",
              "      <td>516</td>\n",
              "      <td>9628</td>\n",
              "      <td>14</td>\n",
              "      <td>5.36%</td>\n",
              "      <td>5.04%</td>\n",
              "      <td>greater</td>\n",
              "      <td>NaN</td>\n",
              "      <td>account</td>\n",
              "      <td>accounts</td>\n",
              "      <td>fortnite</td>\n",
              "      <td>fortnite accounts, fortnite accounts for sale,...</td>\n",
              "      <td>products</td>\n",
              "      <td>fortnite</td>\n",
              "      <td>fortnite-accounts</td>\n",
              "      <td>Non-branded</td>\n",
              "      <td>Fortnite Accounts for Sale | Affordable &amp; Secu...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>fortnite accounts for sale</td>\n",
              "      <td>26</td>\n",
              "      <td>https://www.playersloot.com/products/fortnite/...</td>\n",
              "      <td>255</td>\n",
              "      <td>8832</td>\n",
              "      <td>10</td>\n",
              "      <td>2.89%</td>\n",
              "      <td>2.09%</td>\n",
              "      <td>greater</td>\n",
              "      <td>NaN</td>\n",
              "      <td>account</td>\n",
              "      <td>accounts sale</td>\n",
              "      <td>fortnite</td>\n",
              "      <td>fortnite accounts, fortnite accounts for sale,...</td>\n",
              "      <td>products</td>\n",
              "      <td>fortnite</td>\n",
              "      <td>fortnite-accounts</td>\n",
              "      <td>Non-branded</td>\n",
              "      <td>Fortnite Accounts for Sale | Affordable &amp; Secu...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>fortnite account for sale</td>\n",
              "      <td>25</td>\n",
              "      <td>https://www.playersloot.com/products/fortnite/...</td>\n",
              "      <td>406</td>\n",
              "      <td>8677</td>\n",
              "      <td>8</td>\n",
              "      <td>4.68%</td>\n",
              "      <td>3.06%</td>\n",
              "      <td>greater</td>\n",
              "      <td>NaN</td>\n",
              "      <td>account</td>\n",
              "      <td>account sale</td>\n",
              "      <td>fortnite</td>\n",
              "      <td>fortnite accounts, fortnite accounts for sale,...</td>\n",
              "      <td>products</td>\n",
              "      <td>fortnite</td>\n",
              "      <td>fortnite-accounts</td>\n",
              "      <td>Non-branded</td>\n",
              "      <td>Fortnite Accounts for Sale | Affordable &amp; Secu...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>fortnite account</td>\n",
              "      <td>16</td>\n",
              "      <td>https://www.playersloot.com/products/fortnite/...</td>\n",
              "      <td>315</td>\n",
              "      <td>4760</td>\n",
              "      <td>22</td>\n",
              "      <td>6.62%</td>\n",
              "      <td>5.82%</td>\n",
              "      <td>greater</td>\n",
              "      <td>NaN</td>\n",
              "      <td>account</td>\n",
              "      <td>account</td>\n",
              "      <td>fortnite</td>\n",
              "      <td>fortnite accounts, fortnite accounts for sale,...</td>\n",
              "      <td>products</td>\n",
              "      <td>fortnite</td>\n",
              "      <td>fortnite-accounts</td>\n",
              "      <td>Non-branded</td>\n",
              "      <td>Fortnite Accounts for Sale | Affordable &amp; Secu...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>og fortnite accounts</td>\n",
              "      <td>20</td>\n",
              "      <td>https://www.playersloot.com/products/fortnite/...</td>\n",
              "      <td>152</td>\n",
              "      <td>4312</td>\n",
              "      <td>11</td>\n",
              "      <td>3.53%</td>\n",
              "      <td>3.83%</td>\n",
              "      <td>lower</td>\n",
              "      <td>NaN</td>\n",
              "      <td>account</td>\n",
              "      <td>accounts</td>\n",
              "      <td>fortnite</td>\n",
              "      <td>fortnite accounts, fortnite accounts for sale,...</td>\n",
              "      <td>products</td>\n",
              "      <td>fortnite</td>\n",
              "      <td>fortnite-accounts</td>\n",
              "      <td>Non-branded</td>\n",
              "      <td>Fortnite Accounts for Sale | Affordable &amp; Secu...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                         query  Char  \\\n",
              "0            fortnite accounts    17   \n",
              "1   fortnite accounts for sale    26   \n",
              "2    fortnite account for sale    25   \n",
              "9             fortnite account    16   \n",
              "10        og fortnite accounts    20   \n",
              "\n",
              "                                                 page  clicks  impressions  \\\n",
              "0   https://www.playersloot.com/products/fortnite/...     516         9628   \n",
              "1   https://www.playersloot.com/products/fortnite/...     255         8832   \n",
              "2   https://www.playersloot.com/products/fortnite/...     406         8677   \n",
              "9   https://www.playersloot.com/products/fortnite/...     315         4760   \n",
              "10  https://www.playersloot.com/products/fortnite/...     152         4312   \n",
              "\n",
              "    position   ctr  website_avg_ctr_by_pos comparison  Ordered by frequency  \\\n",
              "0         14 5.36%                   5.04%    greater                   NaN   \n",
              "1         10 2.89%                   2.09%    greater                   NaN   \n",
              "2          8 4.68%                   3.06%    greater                   NaN   \n",
              "9         22 6.62%                   5.82%    greater                   NaN   \n",
              "10        11 3.53%                   3.83%      lower                   NaN   \n",
              "\n",
              "   Strongest word stem    spacy_nouns main_query  \\\n",
              "0              account       accounts   fortnite   \n",
              "1              account  accounts sale   fortnite   \n",
              "2              account   account sale   fortnite   \n",
              "9              account        account   fortnite   \n",
              "10             account       accounts   fortnite   \n",
              "\n",
              "                                        top_5_queries folder_lv1 folder_lv2  \\\n",
              "0   fortnite accounts, fortnite accounts for sale,...   products   fortnite   \n",
              "1   fortnite accounts, fortnite accounts for sale,...   products   fortnite   \n",
              "2   fortnite accounts, fortnite accounts for sale,...   products   fortnite   \n",
              "9   fortnite accounts, fortnite accounts for sale,...   products   fortnite   \n",
              "10  fortnite accounts, fortnite accounts for sale,...   products   fortnite   \n",
              "\n",
              "           folder_lv3 Brand/Non-branded  \\\n",
              "0   fortnite-accounts       Non-branded   \n",
              "1   fortnite-accounts       Non-branded   \n",
              "2   fortnite-accounts       Non-branded   \n",
              "9   fortnite-accounts       Non-branded   \n",
              "10  fortnite-accounts       Non-branded   \n",
              "\n",
              "                                            tag title  \n",
              "0   Fortnite Accounts for Sale | Affordable & Secu...  \n",
              "1   Fortnite Accounts for Sale | Affordable & Secu...  \n",
              "2   Fortnite Accounts for Sale | Affordable & Secu...  \n",
              "9   Fortnite Accounts for Sale | Affordable & Secu...  \n",
              "10  Fortnite Accounts for Sale | Affordable & Secu...  "
            ]
          },
          "execution_count": 59,
          "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": 60,
      "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>main_query</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>fortnite accounts</td>\n",
              "      <td>17</td>\n",
              "      <td>https://www.playersloot.com/products/fortnite/...</td>\n",
              "      <td>516</td>\n",
              "      <td>9628</td>\n",
              "      <td>14</td>\n",
              "      <td>5.36%</td>\n",
              "      <td>5.04%</td>\n",
              "      <td>greater</td>\n",
              "      <td>NaN</td>\n",
              "      <td>account</td>\n",
              "      <td>accounts</td>\n",
              "      <td>fortnite</td>\n",
              "      <td>fortnite accounts, fortnite accounts for sale,...</td>\n",
              "      <td>products</td>\n",
              "      <td>fortnite</td>\n",
              "      <td>fortnite-accounts</td>\n",
              "      <td>Non-branded</td>\n",
              "      <td>Fortnite Accounts for Sale | Affordable &amp; Secu...</td>\n",
              "      <td>Missing 2: account, og</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>fortnite accounts for sale</td>\n",
              "      <td>26</td>\n",
              "      <td>https://www.playersloot.com/products/fortnite/...</td>\n",
              "      <td>255</td>\n",
              "      <td>8832</td>\n",
              "      <td>10</td>\n",
              "      <td>2.89%</td>\n",
              "      <td>2.09%</td>\n",
              "      <td>greater</td>\n",
              "      <td>NaN</td>\n",
              "      <td>account</td>\n",
              "      <td>accounts sale</td>\n",
              "      <td>fortnite</td>\n",
              "      <td>fortnite accounts, fortnite accounts for sale,...</td>\n",
              "      <td>products</td>\n",
              "      <td>fortnite</td>\n",
              "      <td>fortnite-accounts</td>\n",
              "      <td>Non-branded</td>\n",
              "      <td>Fortnite Accounts for Sale | Affordable &amp; Secu...</td>\n",
              "      <td>Missing 2: account, og</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>fortnite account for sale</td>\n",
              "      <td>25</td>\n",
              "      <td>https://www.playersloot.com/products/fortnite/...</td>\n",
              "      <td>406</td>\n",
              "      <td>8677</td>\n",
              "      <td>8</td>\n",
              "      <td>4.68%</td>\n",
              "      <td>3.06%</td>\n",
              "      <td>greater</td>\n",
              "      <td>NaN</td>\n",
              "      <td>account</td>\n",
              "      <td>account sale</td>\n",
              "      <td>fortnite</td>\n",
              "      <td>fortnite accounts, fortnite accounts for sale,...</td>\n",
              "      <td>products</td>\n",
              "      <td>fortnite</td>\n",
              "      <td>fortnite-accounts</td>\n",
              "      <td>Non-branded</td>\n",
              "      <td>Fortnite Accounts for Sale | Affordable &amp; Secu...</td>\n",
              "      <td>Missing 2: account, og</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>fortnite account</td>\n",
              "      <td>16</td>\n",
              "      <td>https://www.playersloot.com/products/fortnite/...</td>\n",
              "      <td>315</td>\n",
              "      <td>4760</td>\n",
              "      <td>22</td>\n",
              "      <td>6.62%</td>\n",
              "      <td>5.82%</td>\n",
              "      <td>greater</td>\n",
              "      <td>NaN</td>\n",
              "      <td>account</td>\n",
              "      <td>account</td>\n",
              "      <td>fortnite</td>\n",
              "      <td>fortnite accounts, fortnite accounts for sale,...</td>\n",
              "      <td>products</td>\n",
              "      <td>fortnite</td>\n",
              "      <td>fortnite-accounts</td>\n",
              "      <td>Non-branded</td>\n",
              "      <td>Fortnite Accounts for Sale | Affordable &amp; Secu...</td>\n",
              "      <td>Missing 2: account, og</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>og fortnite accounts</td>\n",
              "      <td>20</td>\n",
              "      <td>https://www.playersloot.com/products/fortnite/...</td>\n",
              "      <td>152</td>\n",
              "      <td>4312</td>\n",
              "      <td>11</td>\n",
              "      <td>3.53%</td>\n",
              "      <td>3.83%</td>\n",
              "      <td>lower</td>\n",
              "      <td>NaN</td>\n",
              "      <td>account</td>\n",
              "      <td>accounts</td>\n",
              "      <td>fortnite</td>\n",
              "      <td>fortnite accounts, fortnite accounts for sale,...</td>\n",
              "      <td>products</td>\n",
              "      <td>fortnite</td>\n",
              "      <td>fortnite-accounts</td>\n",
              "      <td>Non-branded</td>\n",
              "      <td>Fortnite Accounts for Sale | Affordable &amp; Secu...</td>\n",
              "      <td>Missing 2: account, og</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                         query  Char  \\\n",
              "0            fortnite accounts    17   \n",
              "1   fortnite accounts for sale    26   \n",
              "2    fortnite account for sale    25   \n",
              "9             fortnite account    16   \n",
              "10        og fortnite accounts    20   \n",
              "\n",
              "                                                 page  clicks  impressions  \\\n",
              "0   https://www.playersloot.com/products/fortnite/...     516         9628   \n",
              "1   https://www.playersloot.com/products/fortnite/...     255         8832   \n",
              "2   https://www.playersloot.com/products/fortnite/...     406         8677   \n",
              "9   https://www.playersloot.com/products/fortnite/...     315         4760   \n",
              "10  https://www.playersloot.com/products/fortnite/...     152         4312   \n",
              "\n",
              "    position   ctr  website_avg_ctr_by_pos comparison  Ordered by frequency  \\\n",
              "0         14 5.36%                   5.04%    greater                   NaN   \n",
              "1         10 2.89%                   2.09%    greater                   NaN   \n",
              "2          8 4.68%                   3.06%    greater                   NaN   \n",
              "9         22 6.62%                   5.82%    greater                   NaN   \n",
              "10        11 3.53%                   3.83%      lower                   NaN   \n",
              "\n",
              "   Strongest word stem    spacy_nouns main_query  \\\n",
              "0              account       accounts   fortnite   \n",
              "1              account  accounts sale   fortnite   \n",
              "2              account   account sale   fortnite   \n",
              "9              account        account   fortnite   \n",
              "10             account       accounts   fortnite   \n",
              "\n",
              "                                        top_5_queries folder_lv1 folder_lv2  \\\n",
              "0   fortnite accounts, fortnite accounts for sale,...   products   fortnite   \n",
              "1   fortnite accounts, fortnite accounts for sale,...   products   fortnite   \n",
              "2   fortnite accounts, fortnite accounts for sale,...   products   fortnite   \n",
              "9   fortnite accounts, fortnite accounts for sale,...   products   fortnite   \n",
              "10  fortnite accounts, fortnite accounts for sale,...   products   fortnite   \n",
              "\n",
              "           folder_lv3 Brand/Non-branded  \\\n",
              "0   fortnite-accounts       Non-branded   \n",
              "1   fortnite-accounts       Non-branded   \n",
              "2   fortnite-accounts       Non-branded   \n",
              "9   fortnite-accounts       Non-branded   \n",
              "10  fortnite-accounts       Non-branded   \n",
              "\n",
              "                                            tag title                   check  \n",
              "0   Fortnite Accounts for Sale | Affordable & Secu...  Missing 2: account, og  \n",
              "1   Fortnite Accounts for Sale | Affordable & Secu...  Missing 2: account, og  \n",
              "2   Fortnite Accounts for Sale | Affordable & Secu...  Missing 2: account, og  \n",
              "9   Fortnite Accounts for Sale | Affordable & Secu...  Missing 2: account, og  \n",
              "10  Fortnite Accounts for Sale | Affordable & Secu...  Missing 2: account, og  "
            ]
          },
          "execution_count": 60,
          "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": 61,
      "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\",\"main_query\",\"top_5_queries\",\"tag title\",\"check\",]\n",
        "merged_df8 = merged_df7.reindex(columns=column_order)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 62,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "l4p0DYQy2_Y4",
        "outputId": "7681f890-e40f-4fd5-bb8f-baf350256f5e"
      },
      "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>Brand/Non-branded</th>\n",
              "      <th>main_query</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>fortnite accounts</td>\n",
              "      <td>https://www.playersloot.com/products/fortnite/...</td>\n",
              "      <td>516</td>\n",
              "      <td>9628</td>\n",
              "      <td>14</td>\n",
              "      <td>5.36%</td>\n",
              "      <td>5.04%</td>\n",
              "      <td>greater</td>\n",
              "      <td>Non-branded</td>\n",
              "      <td>fortnite</td>\n",
              "      <td>fortnite accounts, fortnite accounts for sale,...</td>\n",
              "      <td>Fortnite Accounts for Sale | Affordable &amp; Secu...</td>\n",
              "      <td>62</td>\n",
              "      <td>Missing 2: account, og</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>fortnite accounts for sale</td>\n",
              "      <td>https://www.playersloot.com/products/fortnite/...</td>\n",
              "      <td>255</td>\n",
              "      <td>8832</td>\n",
              "      <td>10</td>\n",
              "      <td>2.89%</td>\n",
              "      <td>2.09%</td>\n",
              "      <td>greater</td>\n",
              "      <td>Non-branded</td>\n",
              "      <td>fortnite</td>\n",
              "      <td>fortnite accounts, fortnite accounts for sale,...</td>\n",
              "      <td>Fortnite Accounts for Sale | Affordable &amp; Secu...</td>\n",
              "      <td>62</td>\n",
              "      <td>Missing 2: account, og</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>fortnite account for sale</td>\n",
              "      <td>https://www.playersloot.com/products/fortnite/...</td>\n",
              "      <td>406</td>\n",
              "      <td>8677</td>\n",
              "      <td>8</td>\n",
              "      <td>4.68%</td>\n",
              "      <td>3.06%</td>\n",
              "      <td>greater</td>\n",
              "      <td>Non-branded</td>\n",
              "      <td>fortnite</td>\n",
              "      <td>fortnite accounts, fortnite accounts for sale,...</td>\n",
              "      <td>Fortnite Accounts for Sale | Affordable &amp; Secu...</td>\n",
              "      <td>62</td>\n",
              "      <td>Missing 2: account, og</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                        query  \\\n",
              "0           fortnite accounts   \n",
              "1  fortnite accounts for sale   \n",
              "2   fortnite account for sale   \n",
              "\n",
              "                                                page  clicks  impressions  \\\n",
              "0  https://www.playersloot.com/products/fortnite/...     516         9628   \n",
              "1  https://www.playersloot.com/products/fortnite/...     255         8832   \n",
              "2  https://www.playersloot.com/products/fortnite/...     406         8677   \n",
              "\n",
              "   position   ctr  website_avg_ctr_by_pos comparison Brand/Non-branded  \\\n",
              "0        14 5.36%                   5.04%    greater       Non-branded   \n",
              "1        10 2.89%                   2.09%    greater       Non-branded   \n",
              "2         8 4.68%                   3.06%    greater       Non-branded   \n",
              "\n",
              "  main_query                                      top_5_queries  \\\n",
              "0   fortnite  fortnite accounts, fortnite accounts for sale,...   \n",
              "1   fortnite  fortnite accounts, fortnite accounts for sale,...   \n",
              "2   fortnite  fortnite accounts, fortnite accounts for sale,...   \n",
              "\n",
              "                                           tag title  tag title len  \\\n",
              "0  Fortnite Accounts for Sale | Affordable & Secu...             62   \n",
              "1  Fortnite Accounts for Sale | Affordable & Secu...             62   \n",
              "2  Fortnite Accounts for Sale | Affordable & Secu...             62   \n",
              "\n",
              "                    check  \n",
              "0  Missing 2: account, og  \n",
              "1  Missing 2: account, og  \n",
              "2  Missing 2: account, og  "
            ]
          },
          "execution_count": 62,
          "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": 63,
      "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": 64,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Processed row 238/238 | 2023-11-29 17:42:31 | 273 tokens.\n",
            "Total tokens used: 273\n",
            "Actual API calls made: 1\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": 65,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Somma totale dei clicks: 4639\n",
            "Somma totale delle impressions: 118003\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>Brand/Non-branded</th>\n",
              "      <th>main_query</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",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>fortnite accounts</td>\n",
              "      <td>https://www.playersloot.com/products/fortnite/...</td>\n",
              "      <td>516</td>\n",
              "      <td>9628</td>\n",
              "      <td>14</td>\n",
              "      <td>5.36%</td>\n",
              "      <td>5.04%</td>\n",
              "      <td>greater</td>\n",
              "      <td>Non-branded</td>\n",
              "      <td>fortnite</td>\n",
              "      <td>fortnite accounts, fortnite accounts for sale,...</td>\n",
              "      <td>Fortnite Accounts for Sale | Affordable &amp; Secu...</td>\n",
              "      <td>62</td>\n",
              "      <td>Missing 2: account, og</td>\n",
              "      <td>buy secure fortnite accounts for sale - og for...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>fortnite accounts for sale</td>\n",
              "      <td>https://www.playersloot.com/products/fortnite/...</td>\n",
              "      <td>255</td>\n",
              "      <td>8832</td>\n",
              "      <td>10</td>\n",
              "      <td>2.89%</td>\n",
              "      <td>2.09%</td>\n",
              "      <td>greater</td>\n",
              "      <td>Non-branded</td>\n",
              "      <td>fortnite</td>\n",
              "      <td>fortnite accounts, fortnite accounts for sale,...</td>\n",
              "      <td>Fortnite Accounts for Sale | Affordable &amp; Secu...</td>\n",
              "      <td>62</td>\n",
              "      <td>Missing 2: account, og</td>\n",
              "      <td>buy secure fortnite accounts for sale - og for...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>fortnite account for sale</td>\n",
              "      <td>https://www.playersloot.com/products/fortnite/...</td>\n",
              "      <td>406</td>\n",
              "      <td>8677</td>\n",
              "      <td>8</td>\n",
              "      <td>4.68%</td>\n",
              "      <td>3.06%</td>\n",
              "      <td>greater</td>\n",
              "      <td>Non-branded</td>\n",
              "      <td>fortnite</td>\n",
              "      <td>fortnite accounts, fortnite accounts for sale,...</td>\n",
              "      <td>Fortnite Accounts for Sale | Affordable &amp; Secu...</td>\n",
              "      <td>62</td>\n",
              "      <td>Missing 2: account, og</td>\n",
              "      <td>buy secure fortnite accounts for sale - og for...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                        query  \\\n",
              "0           fortnite accounts   \n",
              "1  fortnite accounts for sale   \n",
              "2   fortnite account for sale   \n",
              "\n",
              "                                                page  clicks  impressions  \\\n",
              "0  https://www.playersloot.com/products/fortnite/...     516         9628   \n",
              "1  https://www.playersloot.com/products/fortnite/...     255         8832   \n",
              "2  https://www.playersloot.com/products/fortnite/...     406         8677   \n",
              "\n",
              "   position   ctr  website_avg_ctr_by_pos comparison Brand/Non-branded  \\\n",
              "0        14 5.36%                   5.04%    greater       Non-branded   \n",
              "1        10 2.89%                   2.09%    greater       Non-branded   \n",
              "2         8 4.68%                   3.06%    greater       Non-branded   \n",
              "\n",
              "  main_query                                      top_5_queries  \\\n",
              "0   fortnite  fortnite accounts, fortnite accounts for sale,...   \n",
              "1   fortnite  fortnite accounts, fortnite accounts for sale,...   \n",
              "2   fortnite  fortnite accounts, fortnite accounts for sale,...   \n",
              "\n",
              "                                           tag title  tag title len  \\\n",
              "0  Fortnite Accounts for Sale | Affordable & Secu...             62   \n",
              "1  Fortnite Accounts for Sale | Affordable & Secu...             62   \n",
              "2  Fortnite Accounts for Sale | Affordable & Secu...             62   \n",
              "\n",
              "                    check                                      new tag title  \n",
              "0  Missing 2: account, og  buy secure fortnite accounts for sale - og for...  \n",
              "1  Missing 2: account, og  buy secure fortnite accounts for sale - og for...  \n",
              "2  Missing 2: account, og  buy secure fortnite accounts for sale - og for...  "
            ]
          },
          "execution_count": 65,
          "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",
        "    \"main_query\",\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": 66,
      "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": 67,
      "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": 68,
      "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: 4639\n",
            "Somma totale delle impressions: 118003\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",
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              "      <th>new tag title</th>\n",
              "      <th>new tag title len</th>\n",
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              "      <th>diff_check</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>fortnite accounts</td>\n",
              "      <td>https://www.playersloot.com/products/fortnite/...</td>\n",
              "      <td>516</td>\n",
              "      <td>9628</td>\n",
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              "      <td>Missing 2: account, og</td>\n",
              "      <td>Buy secure fortnite accounts for sale - og for...</td>\n",
              "      <td>64</td>\n",
              "      <td>2</td>\n",
              "      <td>From Opt to Opt</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>fortnite accounts for sale</td>\n",
              "      <td>https://www.playersloot.com/products/fortnite/...</td>\n",
              "      <td>255</td>\n",
              "      <td>8832</td>\n",
              "      <td>10</td>\n",
              "      <td>2.89%</td>\n",
              "      <td>2.09%</td>\n",
              "      <td>greater</td>\n",
              "      <td>fortnite accounts, fortnite accounts for sale,...</td>\n",
              "      <td>Fortnite Accounts for Sale | Affordable &amp; Secu...</td>\n",
              "      <td>62</td>\n",
              "      <td>Missing 2: account, og</td>\n",
              "      <td>Buy secure fortnite accounts for sale - og for...</td>\n",
              "      <td>64</td>\n",
              "      <td>2</td>\n",
              "      <td>From Opt to Opt</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>fortnite account for sale</td>\n",
              "      <td>https://www.playersloot.com/products/fortnite/...</td>\n",
              "      <td>406</td>\n",
              "      <td>8677</td>\n",
              "      <td>8</td>\n",
              "      <td>4.68%</td>\n",
              "      <td>3.06%</td>\n",
              "      <td>greater</td>\n",
              "      <td>fortnite accounts, fortnite accounts for sale,...</td>\n",
              "      <td>Fortnite Accounts for Sale | Affordable &amp; Secu...</td>\n",
              "      <td>62</td>\n",
              "      <td>Missing 2: account, og</td>\n",
              "      <td>Buy secure fortnite accounts for sale - og for...</td>\n",
              "      <td>64</td>\n",
              "      <td>2</td>\n",
              "      <td>From Opt to Opt</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>fortnite account</td>\n",
              "      <td>https://www.playersloot.com/products/fortnite/...</td>\n",
              "      <td>315</td>\n",
              "      <td>4760</td>\n",
              "      <td>22</td>\n",
              "      <td>6.62%</td>\n",
              "      <td>5.82%</td>\n",
              "      <td>greater</td>\n",
              "      <td>fortnite accounts, fortnite accounts for sale,...</td>\n",
              "      <td>Fortnite Accounts for Sale | Affordable &amp; Secu...</td>\n",
              "      <td>62</td>\n",
              "      <td>Missing 2: account, og</td>\n",
              "      <td>Buy secure fortnite accounts for sale - og for...</td>\n",
              "      <td>64</td>\n",
              "      <td>2</td>\n",
              "      <td>From Opt to Opt</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>og fortnite accounts</td>\n",
              "      <td>https://www.playersloot.com/products/fortnite/...</td>\n",
              "      <td>152</td>\n",
              "      <td>4312</td>\n",
              "      <td>11</td>\n",
              "      <td>3.53%</td>\n",
              "      <td>3.83%</td>\n",
              "      <td>lower</td>\n",
              "      <td>fortnite accounts, fortnite accounts for sale,...</td>\n",
              "      <td>Fortnite Accounts for Sale | Affordable &amp; Secu...</td>\n",
              "      <td>62</td>\n",
              "      <td>Missing 2: account, og</td>\n",
              "      <td>Buy secure fortnite accounts for sale - og for...</td>\n",
              "      <td>64</td>\n",
              "      <td>2</td>\n",
              "      <td>From Opt to Opt</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>233</th>\n",
              "      <td>buy 8 ball pool coins</td>\n",
              "      <td>https://www.playersloot.com/products/8-ball-po...</td>\n",
              "      <td>2</td>\n",
              "      <td>101</td>\n",
              "      <td>13</td>\n",
              "      <td>1.98%</td>\n",
              "      <td>3.10%</td>\n",
              "      <td>lower</td>\n",
              "      <td>8 ball pool coins, buy 8 ball pool coins</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>234</th>\n",
              "      <td>genshin account sale</td>\n",
              "      <td>https://www.playersloot.com/products/genshin-i...</td>\n",
              "      <td>2</td>\n",
              "      <td>101</td>\n",
              "      <td>10</td>\n",
              "      <td>1.98%</td>\n",
              "      <td>2.09%</td>\n",
              "      <td>lower</td>\n",
              "      <td>genshin impact account for sale, genshin accou...</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>235</th>\n",
              "      <td>clash of clans accounts</td>\n",
              "      <td>https://www.playersloot.com/products/clash-of-...</td>\n",
              "      <td>0</td>\n",
              "      <td>101</td>\n",
              "      <td>26</td>\n",
              "      <td>0.00%</td>\n",
              "      <td>1.36%</td>\n",
              "      <td>lower</td>\n",
              "      <td>clash of clans account for sale, buy clash of ...</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>236</th>\n",
              "      <td>fortnite accounts ps5</td>\n",
              "      <td>https://www.playersloot.com/products/fortnite/...</td>\n",
              "      <td>4</td>\n",
              "      <td>100</td>\n",
              "      <td>9</td>\n",
              "      <td>4.00%</td>\n",
              "      <td>2.71%</td>\n",
              "      <td>greater</td>\n",
              "      <td>fortnite accounts, fortnite accounts for sale,...</td>\n",
              "      <td>Fortnite Accounts for Sale | Affordable &amp; Secu...</td>\n",
              "      <td>62</td>\n",
              "      <td>Missing 2: account, og</td>\n",
              "      <td>Buy secure fortnite accounts for sale - og for...</td>\n",
              "      <td>64</td>\n",
              "      <td>2</td>\n",
              "      <td>From Opt to Opt</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>237</th>\n",
              "      <td>gta accounts for sale</td>\n",
              "      <td>https://www.playersloot.com/products/gta-v/gta...</td>\n",
              "      <td>1</td>\n",
              "      <td>100</td>\n",
              "      <td>16</td>\n",
              "      <td>1.00%</td>\n",
              "      <td>2.64%</td>\n",
              "      <td>lower</td>\n",
              "      <td>gta 5 modded accounts for sale, gta accounts f...</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>238 rows × 16 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                          query  \\\n",
              "0             fortnite accounts   \n",
              "1    fortnite accounts for sale   \n",
              "2     fortnite account for sale   \n",
              "3              fortnite account   \n",
              "4          og fortnite accounts   \n",
              "..                          ...   \n",
              "233       buy 8 ball pool coins   \n",
              "234        genshin account sale   \n",
              "235     clash of clans accounts   \n",
              "236       fortnite accounts ps5   \n",
              "237       gta accounts for sale   \n",
              "\n",
              "                                                  page  clicks  impressions  \\\n",
              "0    https://www.playersloot.com/products/fortnite/...     516         9628   \n",
              "1    https://www.playersloot.com/products/fortnite/...     255         8832   \n",
              "2    https://www.playersloot.com/products/fortnite/...     406         8677   \n",
              "3    https://www.playersloot.com/products/fortnite/...     315         4760   \n",
              "4    https://www.playersloot.com/products/fortnite/...     152         4312   \n",
              "..                                                 ...     ...          ...   \n",
              "233  https://www.playersloot.com/products/8-ball-po...       2          101   \n",
              "234  https://www.playersloot.com/products/genshin-i...       2          101   \n",
              "235  https://www.playersloot.com/products/clash-of-...       0          101   \n",
              "236  https://www.playersloot.com/products/fortnite/...       4          100   \n",
              "237  https://www.playersloot.com/products/gta-v/gta...       1          100   \n",
              "\n",
              "     position   ctr  website_avg_ctr_by_pos comparison  \\\n",
              "0          14 5.36%                   5.04%    greater   \n",
              "1          10 2.89%                   2.09%    greater   \n",
              "2           8 4.68%                   3.06%    greater   \n",
              "3          22 6.62%                   5.82%    greater   \n",
              "4          11 3.53%                   3.83%      lower   \n",
              "..        ...   ...                     ...        ...   \n",
              "233        13 1.98%                   3.10%      lower   \n",
              "234        10 1.98%                   2.09%      lower   \n",
              "235        26 0.00%                   1.36%      lower   \n",
              "236         9 4.00%                   2.71%    greater   \n",
              "237        16 1.00%                   2.64%      lower   \n",
              "\n",
              "                                         top_5_queries  \\\n",
              "0    fortnite accounts, fortnite accounts for sale,...   \n",
              "1    fortnite accounts, fortnite accounts for sale,...   \n",
              "2    fortnite accounts, fortnite accounts for sale,...   \n",
              "3    fortnite accounts, fortnite accounts for sale,...   \n",
              "4    fortnite accounts, fortnite accounts for sale,...   \n",
              "..                                                 ...   \n",
              "233           8 ball pool coins, buy 8 ball pool coins   \n",
              "234  genshin impact account for sale, genshin accou...   \n",
              "235  clash of clans account for sale, buy clash of ...   \n",
              "236  fortnite accounts, fortnite accounts for sale,...   \n",
              "237  gta 5 modded accounts for sale, gta accounts f...   \n",
              "\n",
              "                                             tag title  tag title len  \\\n",
              "0    Fortnite Accounts for Sale | Affordable & Secu...             62   \n",
              "1    Fortnite Accounts for Sale | Affordable & Secu...             62   \n",
              "2    Fortnite Accounts for Sale | Affordable & Secu...             62   \n",
              "3    Fortnite Accounts for Sale | Affordable & Secu...             62   \n",
              "4    Fortnite Accounts for Sale | Affordable & Secu...             62   \n",
              "..                                                 ...            ...   \n",
              "233                                                                 0   \n",
              "234                                                                 0   \n",
              "235                                                                 0   \n",
              "236  Fortnite Accounts for Sale | Affordable & Secu...             62   \n",
              "237                                                                 0   \n",
              "\n",
              "                      check  \\\n",
              "0    Missing 2: account, og   \n",
              "1    Missing 2: account, og   \n",
              "2    Missing 2: account, og   \n",
              "3    Missing 2: account, og   \n",
              "4    Missing 2: account, og   \n",
              "..                      ...   \n",
              "233                    N.A.   \n",
              "234                    N.A.   \n",
              "235                    N.A.   \n",
              "236  Missing 2: account, og   \n",
              "237                    N.A.   \n",
              "\n",
              "                                         new tag title  new tag title len  \\\n",
              "0    Buy secure fortnite accounts for sale - og for...                 64   \n",
              "1    Buy secure fortnite accounts for sale - og for...                 64   \n",
              "2    Buy secure fortnite accounts for sale - og for...                 64   \n",
              "3    Buy secure fortnite accounts for sale - og for...                 64   \n",
              "4    Buy secure fortnite accounts for sale - og for...                 64   \n",
              "..                                                 ...                ...   \n",
              "233                                               None                  4   \n",
              "234                                               None                  4   \n",
              "235                                               None                  4   \n",
              "236  Buy secure fortnite accounts for sale - og for...                 64   \n",
              "237                                               None                  4   \n",
              "\n",
              "     diff       diff_check  \n",
              "0       2  From Opt to Opt  \n",
              "1       2  From Opt to Opt  \n",
              "2       2  From Opt to Opt  \n",
              "3       2  From Opt to Opt  \n",
              "4       2  From Opt to Opt  \n",
              "..    ...              ...  \n",
              "233     4             N.A.  \n",
              "234     4             N.A.  \n",
              "235     4             N.A.  \n",
              "236     2  From Opt to Opt  \n",
              "237     4             N.A.  \n",
              "\n",
              "[238 rows x 16 columns]"
            ]
          },
          "execution_count": 68,
          "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', 'main_query'])\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": 69,
      "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": 70,
      "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>fortnite accounts</td>\n",
              "      <td>https://www.playersloot.com/products/fortnite/...</td>\n",
              "      <td>516</td>\n",
              "      <td>9628</td>\n",
              "      <td>14</td>\n",
              "      <td>5.36%</td>\n",
              "      <td>5.04%</td>\n",
              "      <td>greater</td>\n",
              "      <td>fortnite accounts, fortnite accounts for sale,...</td>\n",
              "      <td>Fortnite Accounts for Sale | Affordable &amp; Secu...</td>\n",
              "      <td>62</td>\n",
              "      <td>Missing 2: account, og</td>\n",
              "      <td>Buy secure fortnite accounts for sale - og for...</td>\n",
              "      <td>64</td>\n",
              "      <td>2</td>\n",
              "      <td>From Opt to Opt</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>fortnite accounts for sale</td>\n",
              "      <td>https://www.playersloot.com/products/fortnite/...</td>\n",
              "      <td>255</td>\n",
              "      <td>8832</td>\n",
              "      <td>10</td>\n",
              "      <td>2.89%</td>\n",
              "      <td>2.09%</td>\n",
              "      <td>greater</td>\n",
              "      <td>fortnite accounts, fortnite accounts for sale,...</td>\n",
              "      <td>Fortnite Accounts for Sale | Affordable &amp; Secu...</td>\n",
              "      <td>62</td>\n",
              "      <td>Missing 2: account, og</td>\n",
              "      <td>Buy secure fortnite accounts for sale - og for...</td>\n",
              "      <td>64</td>\n",
              "      <td>2</td>\n",
              "      <td>From Opt to Opt</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>fortnite account for sale</td>\n",
              "      <td>https://www.playersloot.com/products/fortnite/...</td>\n",
              "      <td>406</td>\n",
              "      <td>8677</td>\n",
              "      <td>8</td>\n",
              "      <td>4.68%</td>\n",
              "      <td>3.06%</td>\n",
              "      <td>greater</td>\n",
              "      <td>fortnite accounts, fortnite accounts for sale,...</td>\n",
              "      <td>Fortnite Accounts for Sale | Affordable &amp; Secu...</td>\n",
              "      <td>62</td>\n",
              "      <td>Missing 2: account, og</td>\n",
              "      <td>Buy secure fortnite accounts for sale - og for...</td>\n",
              "      <td>64</td>\n",
              "      <td>2</td>\n",
              "      <td>From Opt to Opt</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>fortnite account</td>\n",
              "      <td>https://www.playersloot.com/products/fortnite/...</td>\n",
              "      <td>315</td>\n",
              "      <td>4760</td>\n",
              "      <td>22</td>\n",
              "      <td>6.62%</td>\n",
              "      <td>5.82%</td>\n",
              "      <td>greater</td>\n",
              "      <td>fortnite accounts, fortnite accounts for sale,...</td>\n",
              "      <td>Fortnite Accounts for Sale | Affordable &amp; Secu...</td>\n",
              "      <td>62</td>\n",
              "      <td>Missing 2: account, og</td>\n",
              "      <td>Buy secure fortnite accounts for sale - og for...</td>\n",
              "      <td>64</td>\n",
              "      <td>2</td>\n",
              "      <td>From Opt to Opt</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>og fortnite accounts</td>\n",
              "      <td>https://www.playersloot.com/products/fortnite/...</td>\n",
              "      <td>152</td>\n",
              "      <td>4312</td>\n",
              "      <td>11</td>\n",
              "      <td>3.53%</td>\n",
              "      <td>3.83%</td>\n",
              "      <td>lower</td>\n",
              "      <td>fortnite accounts, fortnite accounts for sale,...</td>\n",
              "      <td>Fortnite Accounts for Sale | Affordable &amp; Secu...</td>\n",
              "      <td>62</td>\n",
              "      <td>Missing 2: account, og</td>\n",
              "      <td>Buy secure fortnite accounts for sale - og for...</td>\n",
              "      <td>64</td>\n",
              "      <td>2</td>\n",
              "      <td>From Opt to Opt</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>og fortnite account</td>\n",
              "      <td>https://www.playersloot.com/products/fortnite/...</td>\n",
              "      <td>83</td>\n",
              "      <td>3302</td>\n",
              "      <td>10</td>\n",
              "      <td>2.51%</td>\n",
              "      <td>2.09%</td>\n",
              "      <td>greater</td>\n",
              "      <td>fortnite accounts, fortnite accounts for sale,...</td>\n",
              "      <td>Fortnite Accounts for Sale | Affordable &amp; Secu...</td>\n",
              "      <td>62</td>\n",
              "      <td>Missing 2: account, og</td>\n",
              "      <td>Buy secure fortnite accounts for sale - og for...</td>\n",
              "      <td>64</td>\n",
              "      <td>2</td>\n",
              "      <td>From Opt to Opt</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>buy fortnite account</td>\n",
              "      <td>https://www.playersloot.com/products/fortnite/...</td>\n",
              "      <td>132</td>\n",
              "      <td>3044</td>\n",
              "      <td>12</td>\n",
              "      <td>4.34%</td>\n",
              "      <td>4.07%</td>\n",
              "      <td>greater</td>\n",
              "      <td>fortnite accounts, fortnite accounts for sale,...</td>\n",
              "      <td>Fortnite Accounts for Sale | Affordable &amp; Secu...</td>\n",
              "      <td>62</td>\n",
              "      <td>Missing 2: account, og</td>\n",
              "      <td>Buy secure fortnite accounts for sale - og for...</td>\n",
              "      <td>64</td>\n",
              "      <td>2</td>\n",
              "      <td>From Opt to Opt</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>buy fortnite accounts</td>\n",
              "      <td>https://www.playersloot.com/products/fortnite/...</td>\n",
              "      <td>90</td>\n",
              "      <td>2058</td>\n",
              "      <td>11</td>\n",
              "      <td>4.37%</td>\n",
              "      <td>3.83%</td>\n",
              "      <td>greater</td>\n",
              "      <td>fortnite accounts, fortnite accounts for sale,...</td>\n",
              "      <td>Fortnite Accounts for Sale | Affordable &amp; Secu...</td>\n",
              "      <td>62</td>\n",
              "      <td>Missing 2: account, og</td>\n",
              "      <td>Buy secure fortnite accounts for sale - og for...</td>\n",
              "      <td>64</td>\n",
              "      <td>2</td>\n",
              "      <td>From Opt to Opt</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>og fortnite accounts for sale</td>\n",
              "      <td>https://www.playersloot.com/products/fortnite/...</td>\n",
              "      <td>84</td>\n",
              "      <td>2003</td>\n",
              "      <td>9</td>\n",
              "      <td>4.19%</td>\n",
              "      <td>2.71%</td>\n",
              "      <td>greater</td>\n",
              "      <td>fortnite accounts, fortnite accounts for sale,...</td>\n",
              "      <td>Fortnite Accounts for Sale | Affordable &amp; Secu...</td>\n",
              "      <td>62</td>\n",
              "      <td>Missing 2: account, og</td>\n",
              "      <td>Buy secure fortnite accounts for sale - og for...</td>\n",
              "      <td>64</td>\n",
              "      <td>2</td>\n",
              "      <td>From Opt to Opt</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>cheap fortnite accounts</td>\n",
              "      <td>https://www.playersloot.com/products/fortnite/...</td>\n",
              "      <td>199</td>\n",
              "      <td>1952</td>\n",
              "      <td>5</td>\n",
              "      <td>10.19%</td>\n",
              "      <td>7.60%</td>\n",
              "      <td>greater</td>\n",
              "      <td>fortnite accounts, fortnite accounts for sale,...</td>\n",
              "      <td>Fortnite Accounts for Sale | Affordable &amp; Secu...</td>\n",
              "      <td>62</td>\n",
              "      <td>Missing 2: account, og</td>\n",
              "      <td>Buy secure fortnite accounts for sale - og for...</td>\n",
              "      <td>64</td>\n",
              "      <td>2</td>\n",
              "      <td>From Opt to Opt</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                           query  \\\n",
              "0              fortnite accounts   \n",
              "1     fortnite accounts for sale   \n",
              "2      fortnite account for sale   \n",
              "3               fortnite account   \n",
              "4           og fortnite accounts   \n",
              "5            og fortnite account   \n",
              "6           buy fortnite account   \n",
              "7          buy fortnite accounts   \n",
              "8  og fortnite accounts for sale   \n",
              "9        cheap fortnite accounts   \n",
              "\n",
              "                                                page  clicks  impressions  \\\n",
              "0  https://www.playersloot.com/products/fortnite/...     516         9628   \n",
              "1  https://www.playersloot.com/products/fortnite/...     255         8832   \n",
              "2  https://www.playersloot.com/products/fortnite/...     406         8677   \n",
              "3  https://www.playersloot.com/products/fortnite/...     315         4760   \n",
              "4  https://www.playersloot.com/products/fortnite/...     152         4312   \n",
              "5  https://www.playersloot.com/products/fortnite/...      83         3302   \n",
              "6  https://www.playersloot.com/products/fortnite/...     132         3044   \n",
              "7  https://www.playersloot.com/products/fortnite/...      90         2058   \n",
              "8  https://www.playersloot.com/products/fortnite/...      84         2003   \n",
              "9  https://www.playersloot.com/products/fortnite/...     199         1952   \n",
              "\n",
              "   position    ctr  website_avg_ctr_by_pos comparison  \\\n",
              "0        14  5.36%                   5.04%    greater   \n",
              "1        10  2.89%                   2.09%    greater   \n",
              "2         8  4.68%                   3.06%    greater   \n",
              "3        22  6.62%                   5.82%    greater   \n",
              "4        11  3.53%                   3.83%      lower   \n",
              "5        10  2.51%                   2.09%    greater   \n",
              "6        12  4.34%                   4.07%    greater   \n",
              "7        11  4.37%                   3.83%    greater   \n",
              "8         9  4.19%                   2.71%    greater   \n",
              "9         5 10.19%                   7.60%    greater   \n",
              "\n",
              "                                       top_5_queries  \\\n",
              "0  fortnite accounts, fortnite accounts for sale,...   \n",
              "1  fortnite accounts, fortnite accounts for sale,...   \n",
              "2  fortnite accounts, fortnite accounts for sale,...   \n",
              "3  fortnite accounts, fortnite accounts for sale,...   \n",
              "4  fortnite accounts, fortnite accounts for sale,...   \n",
              "5  fortnite accounts, fortnite accounts for sale,...   \n",
              "6  fortnite accounts, fortnite accounts for sale,...   \n",
              "7  fortnite accounts, fortnite accounts for sale,...   \n",
              "8  fortnite accounts, fortnite accounts for sale,...   \n",
              "9  fortnite accounts, fortnite accounts for sale,...   \n",
              "\n",
              "                                           tag title  tag title len  \\\n",
              "0  Fortnite Accounts for Sale | Affordable & Secu...             62   \n",
              "1  Fortnite Accounts for Sale | Affordable & Secu...             62   \n",
              "2  Fortnite Accounts for Sale | Affordable & Secu...             62   \n",
              "3  Fortnite Accounts for Sale | Affordable & Secu...             62   \n",
              "4  Fortnite Accounts for Sale | Affordable & Secu...             62   \n",
              "5  Fortnite Accounts for Sale | Affordable & Secu...             62   \n",
              "6  Fortnite Accounts for Sale | Affordable & Secu...             62   \n",
              "7  Fortnite Accounts for Sale | Affordable & Secu...             62   \n",
              "8  Fortnite Accounts for Sale | Affordable & Secu...             62   \n",
              "9  Fortnite Accounts for Sale | Affordable & Secu...             62   \n",
              "\n",
              "                    check                                      new tag title  \\\n",
              "0  Missing 2: account, og  Buy secure fortnite accounts for sale - og for...   \n",
              "1  Missing 2: account, og  Buy secure fortnite accounts for sale - og for...   \n",
              "2  Missing 2: account, og  Buy secure fortnite accounts for sale - og for...   \n",
              "3  Missing 2: account, og  Buy secure fortnite accounts for sale - og for...   \n",
              "4  Missing 2: account, og  Buy secure fortnite accounts for sale - og for...   \n",
              "5  Missing 2: account, og  Buy secure fortnite accounts for sale - og for...   \n",
              "6  Missing 2: account, og  Buy secure fortnite accounts for sale - og for...   \n",
              "7  Missing 2: account, og  Buy secure fortnite accounts for sale - og for...   \n",
              "8  Missing 2: account, og  Buy secure fortnite accounts for sale - og for...   \n",
              "9  Missing 2: account, og  Buy secure fortnite accounts for sale - og for...   \n",
              "\n",
              "   new tag title len  diff       diff_check  \n",
              "0                 64     2  From Opt to Opt  \n",
              "1                 64     2  From Opt to Opt  \n",
              "2                 64     2  From Opt to Opt  \n",
              "3                 64     2  From Opt to Opt  \n",
              "4                 64     2  From Opt to Opt  \n",
              "5                 64     2  From Opt to Opt  \n",
              "6                 64     2  From Opt to Opt  \n",
              "7                 64     2  From Opt to Opt  \n",
              "8                 64     2  From Opt to Opt  \n",
              "9                 64     2  From Opt to Opt  "
            ]
          },
          "execution_count": 70,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df_torch.head(10)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 71,
      "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_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",
            "Saving df_torch...\n"
          ]
        },
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "C:\\Users\\Giovanni Sacheli\\AppData\\Local\\Temp\\ipykernel_8284\\3325560779.py:37: 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": [
            "File output_file_name salvato in output/sc-domain-playersloot.com\\GSC_EXT_sc-domain-playersloot.com_18days_1crawls_20231129_1639.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_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": 72,
      "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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