Industry_data_script.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 409,
   "id": "cde650d5",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Import required libraries\n",
    "from selenium import webdriver\n",
    "from selenium.webdriver.chrome.service import Service as ChromeService\n",
    "from selenium.webdriver.chrome.options import Options\n",
    "from selenium.webdriver.common.by import By\n",
    "from selenium.webdriver.support.ui import WebDriverWait\n",
    "from selenium.webdriver.support import expected_conditions as EC\n",
    "from bs4 import BeautifulSoup\n",
    "import pandas as pd\n",
    "import time\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 406,
   "id": "74e24e71",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Set up Chrome WebDriver with headless option (no visible browser window)\n",
    "chrome_options = Options()\n",
    "chrome_options.add_argument(\"--headless\")\n",
    "driver_path = r\"C:\\Users\\adeni\\Shuttle_Websraper\\chromedriver-win64\\chromedriver.exe\"\n",
    "# Start the browser\n",
    "chrome_service = ChromeService(executable_path=driver_path)\n",
    "driver = webdriver.Chrome(service=chrome_service, options=chrome_options)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 407,
   "id": "3571c405",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Cookie consent pop-up not found or could not be clicked.\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>No.</th>\n",
       "      <th>Symbol</th>\n",
       "      <th>Company Name</th>\n",
       "      <th>Market Cap</th>\n",
       "      <th>% Change</th>\n",
       "      <th>Volume</th>\n",
       "      <th>Revenue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>MSFT</td>\n",
       "      <td>Microsoft Corporation</td>\n",
       "      <td>3,014.16B</td>\n",
       "      <td>-1.35%</td>\n",
       "      <td>25,339,910</td>\n",
       "      <td>227.58B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>ORCL</td>\n",
       "      <td>Oracle Corporation</td>\n",
       "      <td>319.95B</td>\n",
       "      <td>0.52%</td>\n",
       "      <td>6,530,386</td>\n",
       "      <td>51.63B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>ADBE</td>\n",
       "      <td>Adobe Inc.</td>\n",
       "      <td>284.99B</td>\n",
       "      <td>-0.67%</td>\n",
       "      <td>2,130,652</td>\n",
       "      <td>19.41B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>PANW</td>\n",
       "      <td>Palo Alto Networks, Inc.</td>\n",
       "      <td>108.61B</td>\n",
       "      <td>-0.17%</td>\n",
       "      <td>2,670,113</td>\n",
       "      <td>7.21B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>SNPS</td>\n",
       "      <td>Synopsys, Inc.</td>\n",
       "      <td>85.28B</td>\n",
       "      <td>1.28%</td>\n",
       "      <td>1,237,042</td>\n",
       "      <td>5.84B</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  No. Symbol              Company Name Market Cap % Change      Volume  \\\n",
       "0   1   MSFT     Microsoft Corporation  3,014.16B   -1.35%  25,339,910   \n",
       "1   2   ORCL        Oracle Corporation    319.95B    0.52%   6,530,386   \n",
       "2   3   ADBE                Adobe Inc.    284.99B   -0.67%   2,130,652   \n",
       "3   4   PANW  Palo Alto Networks, Inc.    108.61B   -0.17%   2,670,113   \n",
       "4   5   SNPS            Synopsys, Inc.     85.28B    1.28%   1,237,042   \n",
       "\n",
       "   Revenue  \n",
       "0  227.58B  \n",
       "1   51.63B  \n",
       "2   19.41B  \n",
       "3    7.21B  \n",
       "4    5.84B  "
      ]
     },
     "execution_count": 407,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Target url\n",
    "url = \"https://stockanalysis.com/stocks/industry/software-infrastructure/\"\n",
    "driver.get(url)\n",
    "\n",
    "# Wait for the cookie consent pop-up to appear and click the \"Consent\" button\n",
    "try:\n",
    "    consent_button = WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.XPATH, \"//button[@class='fc-button fc-cta-consent fc-primary-button']\")))\n",
    "    consent_button.click()\n",
    "except Exception as e:\n",
    "    print(\"Cookie consent pop-up not found or could not be clicked.\")\n",
    "\n",
    "time.sleep(3)  # Give the page some time to load (you may adjust this delay if needed)\n",
    "\n",
    "# Parse the dynamically loaded page source with BeautifulSoup\n",
    "soup = BeautifulSoup(driver.page_source, 'html.parser')\n",
    "\n",
    "# Find the table element by its ID\n",
    "table_element = soup.find(\"table\", {\"id\": \"main-table\"})\n",
    "\n",
    "# Extract the table rows\n",
    "table_rows = table_element.find_all(\"tr\")\n",
    "\n",
    "# Create empty lists to store the data\n",
    "data = []\n",
    "header_row = True\n",
    "\n",
    "# Iterate over each row and extract the data\n",
    "for row in table_rows:\n",
    "    if header_row:\n",
    "        header_row = False\n",
    "        continue  # Skip the header row\n",
    "    row_data = [cell.text.strip() for cell in row.find_all(\"td\")]\n",
    "    data.append(row_data)\n",
    "\n",
    "# Close the web driver\n",
    "driver.quit()\n",
    "\n",
    "# Convert the data to a Pandas DataFrame\n",
    "df = pd.DataFrame(data, columns=[\"No.\", \"Symbol\", \"Company Name\", \"Market Cap\", \"% Change\", \"Volume\", \"Revenue\"])\n",
    "\n",
    "# Print the DataFrame\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 402,
   "id": "58d3573f",
   "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>No.</th>\n",
       "      <th>Symbol</th>\n",
       "      <th>Company Name</th>\n",
       "      <th>Market Cap</th>\n",
       "      <th>% Change</th>\n",
       "      <th>Volume</th>\n",
       "      <th>Revenue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>139</td>\n",
       "      <td>139</td>\n",
       "      <td>139</td>\n",
       "      <td>139</td>\n",
       "      <td>139</td>\n",
       "      <td>139</td>\n",
       "      <td>139</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unique</th>\n",
       "      <td>139</td>\n",
       "      <td>139</td>\n",
       "      <td>139</td>\n",
       "      <td>137</td>\n",
       "      <td>132</td>\n",
       "      <td>139</td>\n",
       "      <td>134</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>top</th>\n",
       "      <td>1</td>\n",
       "      <td>MSFT</td>\n",
       "      <td>Microsoft Corporation</td>\n",
       "      <td>6.55B</td>\n",
       "      <td>-</td>\n",
       "      <td>25,338,344</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freq</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        No. Symbol           Company Name Market Cap % Change      Volume  \\\n",
       "count   139    139                    139        139      139         139   \n",
       "unique  139    139                    139        137      132         139   \n",
       "top       1   MSFT  Microsoft Corporation      6.55B        -  25,338,344   \n",
       "freq      1      1                      1          2        3           1   \n",
       "\n",
       "       Revenue  \n",
       "count      139  \n",
       "unique     134  \n",
       "top          -  \n",
       "freq         3  "
      ]
     },
     "execution_count": 402,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 403,
   "id": "6fd7382d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0      MSFT\n",
       "1      ORCL\n",
       "2      ADBE\n",
       "3      PANW\n",
       "4      SNPS\n",
       "       ... \n",
       "134    INTZ\n",
       "135    BCAN\n",
       "136    NXTP\n",
       "137    CETX\n",
       "138    TAOP\n",
       "Name: Symbol, Length: 139, dtype: object"
      ]
     },
     "execution_count": 403,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "symbols = df['Symbol']\n",
    "symbols"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 411,
   "id": "8a58c177",
   "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>Symbol</th>\n",
       "      <th>Metrics</th>\n",
       "      <th>Years</th>\n",
       "      <th>value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>MSFT</td>\n",
       "      <td>Revenue</td>\n",
       "      <td>2022</td>\n",
       "      <td>211915.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>MSFT</td>\n",
       "      <td>Gross Profit</td>\n",
       "      <td>2022</td>\n",
       "      <td>146052.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>MSFT</td>\n",
       "      <td>Operating Income</td>\n",
       "      <td>2022</td>\n",
       "      <td>88523.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>MSFT</td>\n",
       "      <td>Interest Expense / Income</td>\n",
       "      <td>2022</td>\n",
       "      <td>1968.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>MSFT</td>\n",
       "      <td>Pretax Income</td>\n",
       "      <td>2022</td>\n",
       "      <td>89311.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Symbol                    Metrics  Years     value\n",
       "0   MSFT                    Revenue   2022  211915.0\n",
       "1   MSFT               Gross Profit   2022  146052.0\n",
       "2   MSFT           Operating Income   2022   88523.0\n",
       "3   MSFT  Interest Expense / Income   2022    1968.0\n",
       "4   MSFT              Pretax Income   2022   89311.0"
      ]
     },
     "execution_count": 411,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "driver = webdriver.Chrome(service=chrome_service, options=chrome_options)\n",
    "\n",
    "# Create an empty list to store data temporarily\n",
    "all_data = []\n",
    "\n",
    "for symbol in symbols:\n",
    "    url = f\"https://stockanalysis.com/stocks/{symbol}/financials/\" # Target url for income_data\n",
    "    driver.get(url)\n",
    "    \n",
    "    # Wait for the financials table to load\n",
    "    WebDriverWait(driver, 20).until(EC.presence_of_element_located((By.XPATH, \"//table[@data-test='financials']\")))\n",
    "\n",
    "    # Parse the dynamically loaded page source with BeautifulSoup\n",
    "    soup = BeautifulSoup(driver.page_source, 'html.parser')\n",
    "\n",
    "    # Find the table element by its data-test attribute\n",
    "    table_element = soup.find(\"table\", {\"data-test\": \"financials\"})\n",
    "\n",
    "    # Extract the table rows\n",
    "    table_rows = []\n",
    "    for row in table_element.select(\"tr\"):\n",
    "        row_data = [data.text for data in row.select(\"td\")]\n",
    "        table_rows.append(row_data)\n",
    "    \n",
    "    # Extract the column headers\n",
    "    column_headers = [header.text for header in table_element.select(\"th\")]\n",
    "\n",
    "    # Append the financial data to all_data list with an additional \"Symbol\" column\n",
    "    for row in table_rows[1:]:\n",
    "        row.insert(0,symbol)\n",
    "        all_data.append(row)\n",
    "\n",
    "# Close the web driver\n",
    "driver.quit()\n",
    "\n",
    "# Convert the list of financial data to a Pandas DataFrame\n",
    "income_df = pd.DataFrame(all_data)\n",
    "\n",
    "income_df = income_df.iloc[:,:9]\n",
    "\n",
    "# Rows to keep in the final result\n",
    "rows_to_keep = [\"Revenue\", \"Gross Profit\", \"Operating Income\", \"Interest Expense / Income\", \n",
    "                \"Pretax Income\", \"Net Income\", \"Shares Outstanding (Diluted)\", \"Dividend Per Share\"]\n",
    "\n",
    "# Remove leading and trailing spaces from the \"Year\" column values\n",
    "income_df[1] = income_df[1].str.strip()\n",
    "\n",
    "# Keep only the rows specified in rows_of_interest based on the \"Year\" column\n",
    "income_df = income_df[income_df[1].isin(rows_to_keep)]\n",
    "\n",
    "# Create column name variable\n",
    "columns = ['Symbol', 'Metrics', '2022', '2021', '2020', '2019', '2018', '2017', '2016']\n",
    "\n",
    "# Replace column names\n",
    "income_df.columns = columns\n",
    "\n",
    "# Reorder columns\n",
    "income_df = income_df[income_df.columns[1:].tolist() + [income_df.columns[0]]]\n",
    "\n",
    "# Reset the index of the DataFrame\n",
    "income_df = income_df.reset_index(drop=True)\n",
    "\n",
    "# Unpivot the income_df\n",
    "income_df = pd.melt(income_df, id_vars = ['Symbol', 'Metrics'],\n",
    "                     value_vars = ['2022', '2021', '2020', '2019',\n",
    "                                   '2018', '2017', '2016'],\n",
    "                    var_name = 'Years')\n",
    "\n",
    "# Replace \"-\" with NaN\n",
    "income_df['value'] = income_df['value'].replace({\"-\": np.nan})\n",
    "\n",
    "# Convert value column to float\n",
    "income_df['value'] = income_df['value'].str.replace(\",\",\"\").astype(float)\n",
    "\n",
    "# convert Years column to int\n",
    "income_df['Years'] = income_df['Years'].astype(int)\n",
    "\n",
    "# Print df\n",
    "income_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 417,
   "id": "9b89e75f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot a bar chart to vies the revenue for each symbols in the df\n",
    "revenue_data = income_df[income_df['Metrics'] == 'Revenue']\n",
    "\n",
    "# Calculate total revenue for each symbol\n",
    "total_revenue_per_symbol = revenue_data.groupby('Symbol')['value'].mean()\n",
    "\n",
    "# Select the top 5 symbols based on total revenue\n",
    "top5_symbols = total_revenue_per_symbol.nlargest(5).index\n",
    "\n",
    "# Filter the original DataFrame to include only the top 5 symbols\n",
    "filtered_revenue_data = revenue_data[revenue_data['Symbol'].isin(top5_symbols)]\n",
    "\n",
    "# Create the bar plot\n",
    "plt.figure(figsize=(8, 4))\n",
    "sns.barplot(x='Years', y='value', hue='Symbol', data=filtered_revenue_data)\n",
    "plt.title('Top 5 Symbols by Revenue Across Years')\n",
    "plt.xlabel('Year')\n",
    "plt.ylabel('Revenue (in millions)')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 253,
   "id": "144d26c9",
   "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>Symbol</th>\n",
       "      <th>Metrics</th>\n",
       "      <th>Years</th>\n",
       "      <th>value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>msft</td>\n",
       "      <td>Receivables</td>\n",
       "      <td>2022</td>\n",
       "      <td>48688.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>msft</td>\n",
       "      <td>Inventory</td>\n",
       "      <td>2022</td>\n",
       "      <td>2500.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>msft</td>\n",
       "      <td>Total Current Assets</td>\n",
       "      <td>2022</td>\n",
       "      <td>184257.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>msft</td>\n",
       "      <td>Total Assets</td>\n",
       "      <td>2022</td>\n",
       "      <td>411976.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>msft</td>\n",
       "      <td>Accounts Payable</td>\n",
       "      <td>2022</td>\n",
       "      <td>18095.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7086</th>\n",
       "      <td>taop</td>\n",
       "      <td>Total Assets</td>\n",
       "      <td>2016</td>\n",
       "      <td>34.29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7087</th>\n",
       "      <td>taop</td>\n",
       "      <td>Accounts Payable</td>\n",
       "      <td>2016</td>\n",
       "      <td>9.04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7088</th>\n",
       "      <td>taop</td>\n",
       "      <td>Total Current Liabilities</td>\n",
       "      <td>2016</td>\n",
       "      <td>21.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7089</th>\n",
       "      <td>taop</td>\n",
       "      <td>Total Liabilities</td>\n",
       "      <td>2016</td>\n",
       "      <td>21.48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7090</th>\n",
       "      <td>taop</td>\n",
       "      <td>Shareholders' Equity</td>\n",
       "      <td>2016</td>\n",
       "      <td>3.71</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>7091 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Symbol                    Metrics  Years      value\n",
       "0      msft                Receivables   2022   48688.00\n",
       "1      msft                  Inventory   2022    2500.00\n",
       "2      msft       Total Current Assets   2022  184257.00\n",
       "3      msft               Total Assets   2022  411976.00\n",
       "4      msft           Accounts Payable   2022   18095.00\n",
       "...     ...                        ...    ...        ...\n",
       "7086   taop               Total Assets   2016      34.29\n",
       "7087   taop           Accounts Payable   2016       9.04\n",
       "7088   taop  Total Current Liabilities   2016      21.38\n",
       "7089   taop          Total Liabilities   2016      21.48\n",
       "7090   taop       Shareholders' Equity   2016       3.71\n",
       "\n",
       "[7091 rows x 4 columns]"
      ]
     },
     "execution_count": 253,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Lets get the balance sheet data\n",
    "driver = webdriver.Chrome(service=chrome_service, options=chrome_options)\n",
    "\n",
    "all_data = []\n",
    "\n",
    "for symbol in symbols:\n",
    "    url = f\"https://stockanalysis.com/stocks/{symbol}/financials/balance-sheet/\"\n",
    "    driver.get(url)\n",
    "    \n",
    "    # Wait for the financials table to load\n",
    "    WebDriverWait(driver, 20).until(EC.presence_of_element_located((By.XPATH, \"//table[@data-test='financials']\")))\n",
    "\n",
    "    # Parse the dynamically loaded page source with BeautifulSoup\n",
    "    soup = BeautifulSoup(driver.page_source, 'html.parser')\n",
    "\n",
    "    # Find the table element by its data-test attribute\n",
    "    table_element = soup.find(\"table\", {\"data-test\": \"financials\"})\n",
    "\n",
    "    # Extract the table rows\n",
    "    table_rows = []\n",
    "    for row in table_element.select(\"tr\"):\n",
    "        row_data = [data.text for data in row.select(\"td\")]\n",
    "        table_rows.append(row_data)\n",
    "    \n",
    "    # Extract the column headers\n",
    "    column_headers = [header.text for header in table_element.select(\"th\")]\n",
    "\n",
    "    # Append the financial data to all_data list with an additional \"Symbol\" column\n",
    "    for row in table_rows[1:]:\n",
    "        row.insert(0,symbol)\n",
    "        all_data.append(row)\n",
    "\n",
    "# Close the web driver\n",
    "driver.quit()\n",
    "\n",
    "# Convert the list of financial data to a Pandas DataFrame\n",
    "columns = column_headers + [\"Symbol\"]\n",
    "balancesheet_df = pd.DataFrame(all_data)\n",
    "\n",
    "balancesheet_df = balancesheet_df.iloc[:,:9]\n",
    "\n",
    "# Rows to keep in the final result\n",
    "rows_to_keep = [\"Receivables\", \"Inventory\", \"Total Current Assets\", \"Total Assets\", \"Accounts Payable\",\n",
    "                \"Total Current Liabilities\", \"Total Liabilities\", \"Shareholders' Equity\"]\n",
    "\n",
    "# Remove leading and trailing spaces from the \"Year\" column values\n",
    "balancesheet_df[1] = balancesheet_df[1].str.strip()\n",
    "\n",
    "# Keep only the rows specified in rows_of_interest based on the \"Year\" column\n",
    "balancesheet_df = balancesheet_df[balancesheet_df[1].isin(rows_of_interest)]\n",
    "\n",
    "# Create column name variable\n",
    "columns = ['Symbol', 'Metrics', '2022', '2021', '2020', '2019', '2018', '2017', '2016']\n",
    "\n",
    "# Replace column names\n",
    "balancesheet_df.columns = columns\n",
    "\n",
    "# Reorder columns\n",
    "balancesheet_df = balancesheet_df[balancesheet_df.columns[1:].tolist() + [balancesheet_df.columns[0]]]\n",
    "\n",
    "# Reset the index of the DataFrame\n",
    "balancesheet_df = balancesheet_df.reset_index(drop=True)\n",
    "\n",
    "# Unpivot the income_df\n",
    "balancesheet_df = pd.melt(balancesheet_df, id_vars = ['Symbol', 'Metrics'],\n",
    "                     value_vars = ['2022', '2021', '2020', '2019',\n",
    "                                   '2018', '2017', '2016'],\n",
    "                    var_name = 'Years')\n",
    "\n",
    "# Replace \"-\" with NaN\n",
    "balancesheet_df['value'] = balancesheet_df['value'].replace({\"-\": np.nan})\n",
    "\n",
    "# Convert value column to float\n",
    "balancesheet_df['value'] = balancesheet_df['value'].str.replace(\",\",\"\").astype(float)\n",
    "\n",
    "# convert Years column to int\n",
    "balancesheet_df['Years'] = balancesheet_df['Years'].astype(int)\n",
    "\n",
    "# Print df\n",
    "balancesheet_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 416,
   "id": "1bb1c121",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot a bar chart to see the top 5 companies with Total Assets\n",
    "revenue_data = balancesheet_df[balancesheet_df['Metrics'] == 'Total Assets']\n",
    "\n",
    "# Calculate total revenue for each symbol\n",
    "total_revenue_per_symbol = revenue_data.groupby('Symbol')['value'].mean()\n",
    "\n",
    "# Select the top 5 symbols based on total revenue\n",
    "top5_symbols = total_revenue_per_symbol.nlargest(5).index\n",
    "\n",
    "# Filter the original DataFrame to include only the top 5 symbols\n",
    "filtered_revenue_data = revenue_data[revenue_data['Symbol'].isin(top5_symbols)]\n",
    "\n",
    "# Create the bar plot\n",
    "plt.figure(figsize=(8, 4))\n",
    "sns.barplot(x='Years', y='value', hue='Symbol', data=filtered_revenue_data)\n",
    "plt.title('Top 5 Symbols by Total Assets Across Years')\n",
    "plt.xlabel('Year')\n",
    "plt.ylabel('Total Assets (in millions)')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 266,
   "id": "401b85af",
   "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>Symbol</th>\n",
       "      <th>Metrics</th>\n",
       "      <th>Years</th>\n",
       "      <th>value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>msft</td>\n",
       "      <td>Net Income</td>\n",
       "      <td>2022</td>\n",
       "      <td>72361.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>msft</td>\n",
       "      <td>Investing Cash Flow</td>\n",
       "      <td>2022</td>\n",
       "      <td>-22680.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>orcl</td>\n",
       "      <td>Net Income</td>\n",
       "      <td>2022</td>\n",
       "      <td>8503.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>orcl</td>\n",
       "      <td>Investing Cash Flow</td>\n",
       "      <td>2022</td>\n",
       "      <td>-36484.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>adbe</td>\n",
       "      <td>Net Income</td>\n",
       "      <td>2022</td>\n",
       "      <td>5428.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Symbol              Metrics  Years    value\n",
       "0   msft           Net Income   2022  72361.0\n",
       "1   msft  Investing Cash Flow   2022 -22680.0\n",
       "2   orcl           Net Income   2022   8503.0\n",
       "3   orcl  Investing Cash Flow   2022 -36484.0\n",
       "4   adbe           Net Income   2022   5428.0"
      ]
     },
     "execution_count": 266,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Lets get the cashflow statement data\n",
    "driver_path = r\"C:\\Users\\adeni\\Shuttle_Websraper\\chromedriver-win64\\chromedriver.exe\"\n",
    "# Start the browser\n",
    "chrome_service = ChromeService(executable_path=driver_path)\n",
    "driver = webdriver.Chrome(service=chrome_service, options=chrome_options)\n",
    "\n",
    "all_data = []\n",
    "\n",
    "for symbol in symbol_list:\n",
    "    url = f\"https://stockanalysis.com/stocks/{symbol}/financials/cash-flow-statement/\"\n",
    "    driver.get(url)\n",
    "    \n",
    "    # Wait for the financials table to load\n",
    "    WebDriverWait(driver, 20).until(EC.presence_of_element_located((By.XPATH, \"//table[@data-test='financials']\")))\n",
    "\n",
    "    # Parse the dynamically loaded page source with BeautifulSoup\n",
    "    soup = BeautifulSoup(driver.page_source, 'html.parser')\n",
    "\n",
    "    # Find the table element by its data-test attribute\n",
    "    table_element = soup.find(\"table\", {\"data-test\": \"financials\"})\n",
    "\n",
    "    # Extract the table rows\n",
    "    table_rows = []\n",
    "    for row in table_element.select(\"tr\"):\n",
    "        row_data = [data.text for data in row.select(\"td\")]\n",
    "        table_rows.append(row_data)\n",
    "    \n",
    "    # Extract the column headers\n",
    "    column_headers = [header.text for header in table_element.select(\"th\")]\n",
    "\n",
    "    # Append the financial data to all_data list with an additional \"Symbol\" column\n",
    "    for row in table_rows[1:]:\n",
    "        row.insert(0,symbol)\n",
    "        all_data.append(row)\n",
    "\n",
    "# Close the web driver\n",
    "driver.quit()\n",
    "\n",
    "# Convert the list of financial data to a Pandas DataFrame\n",
    "cashflow_df = pd.DataFrame(all_data)\n",
    "\n",
    "cashflow_df = cashflow_df.iloc[:,:9]\n",
    "\n",
    "# Rows to keep in the final result\n",
    "rows_to_keep = [\"Net Income\", \"Investing Cash Flow\"]\n",
    "\n",
    "# Remove leading and trailing spaces from the \"Year\" column values\n",
    "cashflow_df[1] = cashflow_df[1].str.strip()\n",
    "\n",
    "# Keep only the rows specified in rows_of_interest based on the \"Year\" column\n",
    "cashflow_df = cashflow_df[cashflow_df[1].isin(rows_to_keep)]\n",
    "\n",
    "# Create column name variable\n",
    "columns = ['Symbol', 'Metrics', '2022', '2021', '2020', '2019', '2018', '2017', '2016']\n",
    "\n",
    "# Replace column names\n",
    "cashflow_df.columns = columns\n",
    "\n",
    "# Reorder columns\n",
    "cashflow_df = cashflow_df[cashflow_df.columns[1:].tolist() + [cashflow_df.columns[0]]]\n",
    "\n",
    "# Reset the index of the DataFrame\n",
    "cashflow_df = cashflow_df.reset_index(drop=True)\n",
    "\n",
    "# Unpivot the income_df\n",
    "cashflow_df = pd.melt(cashflow_df, id_vars = ['Symbol', 'Metrics'],\n",
    "                     value_vars = ['2022', '2021', '2020', '2019',\n",
    "                                   '2018', '2017', '2016'],\n",
    "                    var_name = 'Years')\n",
    "\n",
    "# Replace \"-\" with NaN\n",
    "cashflow_df['value'] = cashflow_df['value'].replace({\"-\": np.nan})\n",
    "\n",
    "# Convert value column to float\n",
    "cashflow_df['value'] = cashflow_df['value'].str.replace(\",\",\"\").astype(float)\n",
    "\n",
    "# convert Years column to int\n",
    "cashflow_df['Years'] = cashflow_df['Years'].astype(int)\n",
    "\n",
    "# Print df\n",
    "cashflow_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 419,
   "id": "06cf62f3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot a line chart to see the top 5 companies with Total Assets\n",
    "revenue_data = cashflow_df[cashflow_df['Metrics'] == 'Net Income']\n",
    "\n",
    "# Calculate total revenue for each symbol\n",
    "total_revenue_per_symbol = revenue_data.groupby('Symbol')['value'].mean()\n",
    "\n",
    "# Select the top 5 symbols based on total revenue\n",
    "top5_symbols = total_revenue_per_symbol.nlargest(5).index\n",
    "\n",
    "# Filter the original DataFrame to include only the top 5 symbols\n",
    "filtered_revenue_data = revenue_data[revenue_data['Symbol'].isin(top5_symbols)]\n",
    "\n",
    "# Create the bar plot\n",
    "plt.figure(figsize=(8, 4))\n",
    "sns.lineplot(x='Years', y='value', hue='Symbol', data=filtered_revenue_data)\n",
    "plt.title('Top 5 Symbols by Net Income Across Years')\n",
    "plt.xlabel('Year')\n",
    "plt.ylabel('Total Assets (in millions)')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 269,
   "id": "fd619b85",
   "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>Symbol</th>\n",
       "      <th>Metrics</th>\n",
       "      <th>Years</th>\n",
       "      <th>value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>msft</td>\n",
       "      <td>Revenue</td>\n",
       "      <td>2022</td>\n",
       "      <td>211915.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>msft</td>\n",
       "      <td>Gross Profit</td>\n",
       "      <td>2022</td>\n",
       "      <td>146052.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>msft</td>\n",
       "      <td>Operating Income</td>\n",
       "      <td>2022</td>\n",
       "      <td>88523.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>msft</td>\n",
       "      <td>Interest Expense / Income</td>\n",
       "      <td>2022</td>\n",
       "      <td>1968.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>msft</td>\n",
       "      <td>Pretax Income</td>\n",
       "      <td>2022</td>\n",
       "      <td>89311.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15703</th>\n",
       "      <td>taop</td>\n",
       "      <td>Total Assets</td>\n",
       "      <td>2016</td>\n",
       "      <td>34.29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15704</th>\n",
       "      <td>taop</td>\n",
       "      <td>Accounts Payable</td>\n",
       "      <td>2016</td>\n",
       "      <td>9.04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15705</th>\n",
       "      <td>taop</td>\n",
       "      <td>Total Current Liabilities</td>\n",
       "      <td>2016</td>\n",
       "      <td>21.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15706</th>\n",
       "      <td>taop</td>\n",
       "      <td>Total Liabilities</td>\n",
       "      <td>2016</td>\n",
       "      <td>21.48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15707</th>\n",
       "      <td>taop</td>\n",
       "      <td>Shareholders' Equity</td>\n",
       "      <td>2016</td>\n",
       "      <td>3.71</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>15708 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Symbol                    Metrics  Years      value\n",
       "0       msft                    Revenue   2022  211915.00\n",
       "1       msft               Gross Profit   2022  146052.00\n",
       "2       msft           Operating Income   2022   88523.00\n",
       "3       msft  Interest Expense / Income   2022    1968.00\n",
       "4       msft              Pretax Income   2022   89311.00\n",
       "...      ...                        ...    ...        ...\n",
       "15703   taop               Total Assets   2016      34.29\n",
       "15704   taop           Accounts Payable   2016       9.04\n",
       "15705   taop  Total Current Liabilities   2016      21.38\n",
       "15706   taop          Total Liabilities   2016      21.48\n",
       "15707   taop       Shareholders' Equity   2016       3.71\n",
       "\n",
       "[15708 rows x 4 columns]"
      ]
     },
     "execution_count": 269,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Combine the 3 dataframes together \n",
    "combined_df = pd.concat([income_df, cashflow_df, balancesheet_df],\n",
    "                        ignore_index=True)\n",
    "\n",
    "combined_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 307,
   "id": "777cda41",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0                          Revenue\n",
       "1                     Gross Profit\n",
       "2                 Operating Income\n",
       "3        Interest Expense / Income\n",
       "4                    Pretax Income\n",
       "                   ...            \n",
       "15703                 Total Assets\n",
       "15704             Accounts Payable\n",
       "15705    Total Current Liabilities\n",
       "15706            Total Liabilities\n",
       "15707         Shareholders' Equity\n",
       "Name: Metrics, Length: 15708, dtype: object"
      ]
     },
     "execution_count": 307,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "combined_df['Metrics']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 392,
   "id": "2561796b",
   "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>Years</th>\n",
       "      <th>2016</th>\n",
       "      <th>2017</th>\n",
       "      <th>2018</th>\n",
       "      <th>2019</th>\n",
       "      <th>2020</th>\n",
       "      <th>2021</th>\n",
       "      <th>2022</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Metrics</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>Accounts Payable</th>\n",
       "      <td>236.883077</td>\n",
       "      <td>278.401463</td>\n",
       "      <td>286.740440</td>\n",
       "      <td>285.276746</td>\n",
       "      <td>384.243185</td>\n",
       "      <td>514.107554</td>\n",
       "      <td>569.659493</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dividend Per Share</th>\n",
       "      <td>1.627500</td>\n",
       "      <td>0.894000</td>\n",
       "      <td>0.931000</td>\n",
       "      <td>1.061600</td>\n",
       "      <td>4.296333</td>\n",
       "      <td>1.177857</td>\n",
       "      <td>1.198333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gross Profit</th>\n",
       "      <td>1618.279125</td>\n",
       "      <td>1797.184819</td>\n",
       "      <td>1713.366800</td>\n",
       "      <td>1521.661562</td>\n",
       "      <td>1659.960735</td>\n",
       "      <td>1903.031151</td>\n",
       "      <td>2154.136619</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Interest Expense / Income</th>\n",
       "      <td>74.645429</td>\n",
       "      <td>88.593699</td>\n",
       "      <td>79.553933</td>\n",
       "      <td>67.037364</td>\n",
       "      <td>69.433333</td>\n",
       "      <td>75.256750</td>\n",
       "      <td>121.327250</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Inventory</th>\n",
       "      <td>89.514000</td>\n",
       "      <td>104.129333</td>\n",
       "      <td>78.596667</td>\n",
       "      <td>69.057561</td>\n",
       "      <td>81.960682</td>\n",
       "      <td>108.243333</td>\n",
       "      <td>83.921556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Investing Cash Flow</th>\n",
       "      <td>-1071.437625</td>\n",
       "      <td>-323.234578</td>\n",
       "      <td>-32.006600</td>\n",
       "      <td>-64.869922</td>\n",
       "      <td>-500.623603</td>\n",
       "      <td>-337.162246</td>\n",
       "      <td>-623.848261</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Net Income</th>\n",
       "      <td>452.717875</td>\n",
       "      <td>316.098735</td>\n",
       "      <td>563.784300</td>\n",
       "      <td>479.979844</td>\n",
       "      <td>570.435699</td>\n",
       "      <td>552.209640</td>\n",
       "      <td>568.659856</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Operating Income</th>\n",
       "      <td>581.425125</td>\n",
       "      <td>679.750361</td>\n",
       "      <td>652.013900</td>\n",
       "      <td>607.445781</td>\n",
       "      <td>698.439779</td>\n",
       "      <td>743.256763</td>\n",
       "      <td>797.704676</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pretax Income</th>\n",
       "      <td>556.870625</td>\n",
       "      <td>669.185301</td>\n",
       "      <td>637.332700</td>\n",
       "      <td>574.239922</td>\n",
       "      <td>657.412794</td>\n",
       "      <td>662.365468</td>\n",
       "      <td>715.419353</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Receivables</th>\n",
       "      <td>602.242468</td>\n",
       "      <td>653.877654</td>\n",
       "      <td>770.676778</td>\n",
       "      <td>666.815040</td>\n",
       "      <td>769.047910</td>\n",
       "      <td>933.091014</td>\n",
       "      <td>1098.305036</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Revenue</th>\n",
       "      <td>2385.183125</td>\n",
       "      <td>2642.847831</td>\n",
       "      <td>2516.961500</td>\n",
       "      <td>2214.259062</td>\n",
       "      <td>2420.573235</td>\n",
       "      <td>2855.746691</td>\n",
       "      <td>3228.697554</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shareholders' Equity</th>\n",
       "      <td>2408.559231</td>\n",
       "      <td>2216.064878</td>\n",
       "      <td>2170.230989</td>\n",
       "      <td>1653.147619</td>\n",
       "      <td>1817.990074</td>\n",
       "      <td>2114.305252</td>\n",
       "      <td>2562.086232</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shares Outstanding (Diluted)</th>\n",
       "      <td>258.100000</td>\n",
       "      <td>259.027027</td>\n",
       "      <td>246.292135</td>\n",
       "      <td>193.974138</td>\n",
       "      <td>199.621849</td>\n",
       "      <td>220.658537</td>\n",
       "      <td>248.155738</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Total Assets</th>\n",
       "      <td>6612.832692</td>\n",
       "      <td>6676.069512</td>\n",
       "      <td>6418.217143</td>\n",
       "      <td>5252.486667</td>\n",
       "      <td>5713.778444</td>\n",
       "      <td>6237.883165</td>\n",
       "      <td>7177.762029</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Total Current Assets</th>\n",
       "      <td>3899.841600</td>\n",
       "      <td>3883.868250</td>\n",
       "      <td>3501.804270</td>\n",
       "      <td>2862.194516</td>\n",
       "      <td>3019.934211</td>\n",
       "      <td>3062.410000</td>\n",
       "      <td>3281.302647</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Total Current Liabilities</th>\n",
       "      <td>1567.811867</td>\n",
       "      <td>1553.020250</td>\n",
       "      <td>1647.887753</td>\n",
       "      <td>1339.347581</td>\n",
       "      <td>1625.148421</td>\n",
       "      <td>1891.532701</td>\n",
       "      <td>2206.481103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Total Liabilities</th>\n",
       "      <td>4136.489615</td>\n",
       "      <td>4394.412073</td>\n",
       "      <td>4192.204396</td>\n",
       "      <td>3509.992619</td>\n",
       "      <td>3795.697852</td>\n",
       "      <td>4079.916619</td>\n",
       "      <td>4583.305145</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Years                                2016         2017         2018  \\\n",
       "Metrics                                                               \n",
       "Accounts Payable               236.883077   278.401463   286.740440   \n",
       "Dividend Per Share               1.627500     0.894000     0.931000   \n",
       "Gross Profit                  1618.279125  1797.184819  1713.366800   \n",
       "Interest Expense / Income       74.645429    88.593699    79.553933   \n",
       "Inventory                       89.514000   104.129333    78.596667   \n",
       "Investing Cash Flow          -1071.437625  -323.234578   -32.006600   \n",
       "Net Income                     452.717875   316.098735   563.784300   \n",
       "Operating Income               581.425125   679.750361   652.013900   \n",
       "Pretax Income                  556.870625   669.185301   637.332700   \n",
       "Receivables                    602.242468   653.877654   770.676778   \n",
       "Revenue                       2385.183125  2642.847831  2516.961500   \n",
       "Shareholders' Equity          2408.559231  2216.064878  2170.230989   \n",
       "Shares Outstanding (Diluted)   258.100000   259.027027   246.292135   \n",
       "Total Assets                  6612.832692  6676.069512  6418.217143   \n",
       "Total Current Assets          3899.841600  3883.868250  3501.804270   \n",
       "Total Current Liabilities     1567.811867  1553.020250  1647.887753   \n",
       "Total Liabilities             4136.489615  4394.412073  4192.204396   \n",
       "\n",
       "Years                                2019         2020         2021  \\\n",
       "Metrics                                                               \n",
       "Accounts Payable               285.276746   384.243185   514.107554   \n",
       "Dividend Per Share               1.061600     4.296333     1.177857   \n",
       "Gross Profit                  1521.661562  1659.960735  1903.031151   \n",
       "Interest Expense / Income       67.037364    69.433333    75.256750   \n",
       "Inventory                       69.057561    81.960682   108.243333   \n",
       "Investing Cash Flow            -64.869922  -500.623603  -337.162246   \n",
       "Net Income                     479.979844   570.435699   552.209640   \n",
       "Operating Income               607.445781   698.439779   743.256763   \n",
       "Pretax Income                  574.239922   657.412794   662.365468   \n",
       "Receivables                    666.815040   769.047910   933.091014   \n",
       "Revenue                       2214.259062  2420.573235  2855.746691   \n",
       "Shareholders' Equity          1653.147619  1817.990074  2114.305252   \n",
       "Shares Outstanding (Diluted)   193.974138   199.621849   220.658537   \n",
       "Total Assets                  5252.486667  5713.778444  6237.883165   \n",
       "Total Current Assets          2862.194516  3019.934211  3062.410000   \n",
       "Total Current Liabilities     1339.347581  1625.148421  1891.532701   \n",
       "Total Liabilities             3509.992619  3795.697852  4079.916619   \n",
       "\n",
       "Years                                2022  \n",
       "Metrics                                    \n",
       "Accounts Payable               569.659493  \n",
       "Dividend Per Share               1.198333  \n",
       "Gross Profit                  2154.136619  \n",
       "Interest Expense / Income      121.327250  \n",
       "Inventory                       83.921556  \n",
       "Investing Cash Flow           -623.848261  \n",
       "Net Income                     568.659856  \n",
       "Operating Income               797.704676  \n",
       "Pretax Income                  715.419353  \n",
       "Receivables                   1098.305036  \n",
       "Revenue                       3228.697554  \n",
       "Shareholders' Equity          2562.086232  \n",
       "Shares Outstanding (Diluted)   248.155738  \n",
       "Total Assets                  7177.762029  \n",
       "Total Current Assets          3281.302647  \n",
       "Total Current Liabilities     2206.481103  \n",
       "Total Liabilities             4583.305145  "
      ]
     },
     "execution_count": 392,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Get a copy of the combined data\n",
    "industry_avg_data = combined_df.copy()\n",
    "\n",
    "# Convert the 'value' column to numeric (assuming it contains numerical values)\n",
    "industry_avg_data['value'] = pd.to_numeric(industry_avg_data['value'])\n",
    "\n",
    "# Pivot the data to get the industry average for each metric and year\n",
    "industry_avg_pivot = pd.pivot_table(industry_avg_data, values='value', index=['Metrics'], columns=['Years'], aggfunc='mean')\n",
    "\n",
    "# Print the resulting DataFrame\n",
    "industry_avg_pivot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 465,
   "id": "5e1b2323",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting some graphs from our metrics data\n",
    "\n",
    "# Filter data for each metric\n",
    "metrics_to_plot = ['Net Income', 'Revenue', 'Total Assets', 'Accounts Payable']\n",
    "\n",
    "# Create subplots\n",
    "fig, axes = plt.subplots(nrows=2, ncols=2, figsize=(10, 6))\n",
    "\n",
    "# Flatten the axes array for easy iteration\n",
    "axes = axes.flatten()\n",
    "\n",
    "# Plot each metric\n",
    "for i, metric in enumerate(metrics_to_plot):\n",
    "    metric_data = combined_df[combined_df['Metrics'] == metric]\n",
    "    metric_data = metric_data.groupby('Years')['value'].mean()\n",
    "    sns.lineplot(data=metric_data, ax=axes[i])\n",
    "    axes[i].set_title(f'{metric} Trend Over the Years')\n",
    "    axes[i].set_xlabel('Year')\n",
    "    axes[i].set_ylabel(metric)\n",
    "\n",
    "# Adjust layout\n",
    "plt.tight_layout()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 485,
   "id": "1412b6b9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x800 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Lets plot some ratios from our data\n",
    "\n",
    "# Filter data for each metric\n",
    "metrics_to_plot = ['Gross Margin', 'Quick Ratio', 'Book Value',\n",
    "                   'Return on Assets', 'Operating Margin', 'Receivable Days']\n",
    "\n",
    "# Create subplots\n",
    "fig, axes = plt.subplots(nrows=3, ncols=2, figsize=(12, 8))\n",
    "\n",
    "# Flatten the axes array for easy iteration\n",
    "axes = axes.flatten()\n",
    "\n",
    "# Plot each metric\n",
    "for i, metric in enumerate(metrics_to_plot):\n",
    "    if metric == 'Gross Margin':\n",
    "        gross_profit_data = combined_df[combined_df['Metrics'] == 'Gross Profit']\n",
    "        revenue_data = combined_df[combined_df['Metrics'] == 'Revenue']\n",
    "        gross_profit_data = gross_profit_data.groupby('Years')['value'].mean()\n",
    "        revenue_data = revenue_data.groupby('Years')['value'].mean()\n",
    "        gross_margin = (gross_profit_data / revenue_data) * 100\n",
    "        sns.lineplot(data=gross_margin, ax=axes[i])\n",
    "    elif metric == 'Quick Ratio':\n",
    "        current_data = combined_df[combined_df['Metrics'] == 'Total Current Assets']\n",
    "        liability_data = combined_df[combined_df['Metrics'] == 'Total Current Liabilities']\n",
    "        inventory_data = combined_df[combined_df['Metrics'] == 'Inventory']\n",
    "        current_data = current_data.groupby('Years')['value'].mean()\n",
    "        liability_data = liability_data.groupby('Years')['value'].mean()\n",
    "        inventory_data = inventory_data.groupby('Years')['value'].mean()\n",
    "        quick_ratio = (current_data - inventory_data) / liability_data\n",
    "        sns.lineplot(data=quick_ratio, ax=axes[i])\n",
    "    elif metric == 'Return on Assets':\n",
    "        net_income_data = combined_df[combined_df['Metrics'] == 'Net Income']\n",
    "        total_assets_data = combined_df[combined_df['Metrics'] == 'Total Assets']\n",
    "        net_income_data = net_income_data.groupby('Years')['value'].mean()\n",
    "        total_assets_data = total_assets_data.groupby('Years')['value'].mean()\n",
    "        return_on_assets = (net_income_data / total_assets_data) * 100\n",
    "        sns.lineplot(data=return_on_assets, ax=axes[i])\n",
    "    elif metric == 'Operating Margin':\n",
    "        operating_data = combined_df[combined_df['Metrics'] == 'Operating Income']\n",
    "        revenue_data = combined_df[combined_df['Metrics'] == 'Revenue']\n",
    "        operating_data = operating_data.groupby('Years')['value'].mean()\n",
    "        revenue_data = revenue_data.groupby('Years')['value'].mean()\n",
    "        operating_margin = operating_data/revenue_data\n",
    "        sns.lineplot(data=operating_margin, ax=axes[i])\n",
    "    elif metric == 'Receivable Days':\n",
    "        receivable_data = combined_df[combined_df['Metrics'] == 'Receivables']\n",
    "        revenue_data = combined_df[combined_df['Metrics'] == 'Revenue']\n",
    "        receivable_data = receivable_data.groupby('Years')['value'].mean()\n",
    "        revenue_data = revenue_data.groupby('Years')['value'].mean()\n",
    "        receivable_days = (receivable_data/revenue_data) * 360\n",
    "        sns.lineplot(data=receivable_days, ax=axes[i])\n",
    "    elif metric == 'Book Value':\n",
    "        equity_data = combined_df[combined_df['Metrics'] == \"Shareholders' Equity\"]\n",
    "        shares_outstanding_data = combined_df[combined_df['Metrics'] == 'Shares Outstanding (Diluted)']\n",
    "        equity_data = equity_data.groupby('Years')['value'].mean()\n",
    "        shares_outstanding_data = shares_outstanding_data.groupby('Years')['value'].mean()\n",
    "        book_value = equity_data/shares_outstanding_data\n",
    "        sns.lineplot(data=book_value, ax=axes[i])\n",
    "        \n",
    "\n",
    "    axes[i].set_title(f'{metric} Trend Over the Years')\n",
    "    axes[i].set_xlabel('Year')\n",
    "    axes[i].set_ylabel(metric)\n",
    "\n",
    "# Adjust layout\n",
    "plt.tight_layout()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 488,
   "id": "a6100482",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ROA: Years\n",
      "2016    6.846051\n",
      "2017    4.734803\n",
      "2018    8.784126\n",
      "2019    9.138145\n",
      "2020    9.983511\n",
      "2021    8.852517\n",
      "2022    7.922523\n",
      "Name: value, dtype: float64\n",
      "quick ratio: Years\n",
      "2016    2.430347\n",
      "2017    2.433799\n",
      "2018    2.077331\n",
      "2019    2.085446\n",
      "2020    1.807819\n",
      "2021    1.561785\n",
      "2022    1.449086\n",
      "Name: value, dtype: float64\n",
      "Gross Margin: Years\n",
      "2016    67.847165\n",
      "2017    68.001827\n",
      "2018    68.072825\n",
      "2019    68.721027\n",
      "2020    68.577175\n",
      "2021    66.638654\n",
      "2022    66.718439\n",
      "Name: value, dtype: float64\n",
      "Book Value: Years\n",
      "2016     9.331884\n",
      "2017     8.555342\n",
      "2018     8.811613\n",
      "2019     8.522516\n",
      "2020     9.107170\n",
      "2021     9.581797\n",
      "2022    10.324509\n",
      "Name: value, dtype: float64\n",
      "Account Receivable Days: Years\n",
      "2016     90.897544\n",
      "2017     89.069054\n",
      "2018    110.229592\n",
      "2019    108.412524\n",
      "2020    114.376729\n",
      "2021    117.626947\n",
      "2022    122.461087\n",
      "Name: value, dtype: float64\n",
      "Operating Marging: Years\n",
      "2016    0.243765\n",
      "2017    0.257204\n",
      "2018    0.259048\n",
      "2019    0.274334\n",
      "2020    0.288543\n",
      "2021    0.260267\n",
      "2022    0.247067\n",
      "Name: value, dtype: float64\n"
     ]
    }
   ],
   "source": [
    "print('ROA:',return_on_assets)\n",
    "print('quick ratio:',quick_ratio)\n",
    "print('Gross Margin:',gross_margin)\n",
    "print('Book Value:',book_value)\n",
    "print('Account Receivable Days:',receivable_days)\n",
    "print('Operating Marging:',operating_margin)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.9"
  }
 },
 "nbformat": 4,
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}