vietjet_crawler.ipynb

{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## **Bài tập thu thập dữ liệu (trang tĩnh/động/API)**"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Họ tên: Trần Hoàng Anh Phi\n",
    "- MSSV: 20120158"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<font color=red>Nội dung:</font> \n",
    "- Thu thập dữ liệu giá vé máy bay trong các ngày gần nhất ở trang: <href>https://www.vietjetair.com/vi/</href> \n",
    "- Tìm giá vé nhỏ nhất từ dữ liệu đã thu thập"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### **Install các package cần thiết**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "# %pip install selenium\n",
    "# %pip install webdriver-manager\n",
    "# %pip install beautifulsoup4\n",
    "# %pip install lxml"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### **Import các thư viện**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "from selenium import webdriver\n",
    "from selenium.webdriver.common.keys import Keys\n",
    "from selenium.webdriver.common.by import By\n",
    "from selenium.webdriver.support import expected_conditions as EC\n",
    "from selenium.webdriver.common.action_chains import ActionChains\n",
    "from bs4 import BeautifulSoup\n",
    "import re # Regular expressionc\n",
    "from datetime import date, timedelta\n",
    "from time import sleep\n",
    "from selenium.webdriver.chrome.service import Service\n",
    "from webdriver_manager.chrome import ChromeDriverManager\n",
    "from selenium.webdriver.support.ui import WebDriverWait\n",
    "from selenium.common.exceptions import StaleElementReferenceException\n",
    "from selenium.common.exceptions import ElementNotInteractableException\n",
    "\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### **Dùng selenium để thực hiện thao tác đến trang xem giá vé** "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tháng 03 2024\n"
     ]
    }
   ],
   "source": [
    "# Mở Chrome và cho full màn hình\n",
    "# Tự tải phiên bản ChromeDriver phù hợp với phiên bản trên máy\n",
    "browser = webdriver.Chrome(service=Service(ChromeDriverManager().install())) #webdriver.Chrome(\"chromedriver.exe\")\n",
    "browser.maximize_window()\n",
    "# Set thời gian chờ mặc định là 10 giây\n",
    "browser.implicitly_wait(10)\n",
    "# Mở trang chủ của Vietjet\n",
    "url = 'https://www.vietjetair.com'\n",
    "browser.get(url)\n",
    "\n",
    "wait = WebDriverWait(browser, 10)\n",
    "\n",
    "# Chọn sử dụng cookie\n",
    "wait.until(EC.element_to_be_clickable((By.XPATH, '//div[@role=\"dialog\"]//button'))).click()\n",
    "\n",
    "# Tắt quảng cáo \n",
    "# wait.until(EC.element_to_be_clickable((By.XPATH, '//*[@id=\"NC_CTA_TWO\"]'))).click()\n",
    "# browser.find_element(by='id', value='NC_CTA_TWO').click()\n",
    "\n",
    "# close_buttons = wait.until(EC.presence_of_all_elements_located((By.CSS_SELECTOR, 'button.MuiIconButton-root[aria-label=\"close\"]')))\n",
    "# for close_button in close_buttons[1:]:\n",
    "#     close_button.click()\n",
    "\n",
    "# Chọn vé một chiều\n",
    "wait.until(EC.element_to_be_clickable((\n",
    "    By.XPATH, '//span[contains(text(),\"Một chiều\")]'))).click()\n",
    "\n",
    "# Chọn điểm khởi hành là TP HCM \n",
    "wait.until(EC.element_to_be_clickable((By.XPATH, '//*[@class=\"MuiInputBase-input MuiOutlinedInput-input\"]'))).click()\n",
    "# selectOrigin = browser.find_element(By.XPATH, '//*[@class=\"MuiInputBase-input MuiOutlinedInput-input\"]')\n",
    "# selectOrigin.click()\n",
    "# sleep(3)\n",
    "\n",
    "# Chọn sân bay Tân Sơn Nhất\n",
    "wait.until(EC.element_to_be_clickable((By.XPATH, '//*[contains(text(),\"Sân bay Tân Sơn Nhất\")]'))).click()\n",
    "\n",
    "# Chọn sân bay Đà Nẵng\n",
    "try:\n",
    "    wait.until(EC.element_to_be_clickable((By.XPATH, '//*[contains(text(),\"Sân bay Đà Nẵng\")]'))).click()\n",
    "except:\n",
    "    wait.until(EC.element_to_be_clickable((By.XPATH, '//*[contains(text(),\"Sân bay Đà Nẵng\")]'))).click()\n",
    "    \n",
    "# Chọn ngày tháng \n",
    "today = date.today()\n",
    "tomorrow = today + timedelta(1)\n",
    "tomorrow_year = str(tomorrow.year)\n",
    "tomorrow_month = tomorrow.strftime('%m')\n",
    "tomorrow_day = str(tomorrow.day)\n",
    "\n",
    "\n",
    "# Chuỗi ngày tháng để click\n",
    "str_time = 'tháng '+ tomorrow_month + ' ' + tomorrow_year \n",
    "\n",
    "print(str_time)\n",
    "\n",
    "wait.until(EC.presence_of_element_located((\n",
    "    By.XPATH, '//*[contains(text(),\"{a}\")]//following-sibling::div[2]//descendant::span[text()=\"{b}\"]'.format(a = str_time, b = tomorrow_day)))).click()\n",
    "\n",
    "# Click Tìm chuyến bay\n",
    "submit = wait.until(EC.visibility_of_element_located((By.XPATH, '(//*[contains(text(), \"Tìm chuyến bay\")])[2]'))) \n",
    "try: \n",
    "    submit.click()\n",
    "except:\n",
    "    submit.click()\n",
    "\n",
    "\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### **Bắt đầu crawl dữ liệu**\n",
    "- Thư viện lxml để xử lý html lấy về từ browser\n",
    "- Dùng xpath để trích xuất các thông tin cần thiết\n",
    "- Sử dụng <code>**Beautifulsoup**</code> để lấy <code>class</code> \"slick-track\" chứa các thẻ có thông tin ngày bay. Sau đó ta lấy child là các thẻ con của thẻ này và dùng \n",
    "<code>**Selenium**</code> để lần lượt <code>click</code> và lấy dữ liệu.\n",
    "- Mỗi khi click đến một ngày mới, ta lấy xpath root (chứa thông tin của các chuyến bay trong ngày) và lần lượt click vào từng row ( chuyến bay) để lấy các thông tin. Ở đây em dùng phương thức `html.fromstring` để lấy đối tượng html từ `page_source` mà browser trả về, sau đó truyền vào xpath và phương thức `text()` ở cuối để lấy text. Cuối cùng ta append vào list `data`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2\n",
      "0 click =  False\n",
      "1 click =  True\n",
      "Đã load xong...\n",
      "\n",
      "7\n",
      "0 click =  False\n",
      "1 click =  False\n",
      "2 click =  True\n",
      "3 click =  True\n",
      "4 click =  True\n",
      "5 click =  True\n",
      "6 click =  True\n",
      "Đã load xong...\n",
      "\n",
      "7\n",
      "0 click =  True\n",
      "1 click =  True\n",
      "2 click =  True\n",
      "3 click =  True\n",
      "4 click =  True\n",
      "5 click =  True\n",
      "6 click =  True\n",
      "Đã load xong...\n",
      "\n",
      "6\n",
      "0 click =  True\n",
      "1 click =  True\n",
      "2 click =  True\n",
      "3 click =  True\n",
      "4 click =  True\n",
      "5 click =  True\n",
      "Đã load xong...\n",
      "\n",
      "6\n",
      "0 click =  True\n",
      "1 click =  True\n",
      "2 click =  True\n",
      "3 click =  True\n",
      "4 click =  True\n",
      "5 click =  True\n",
      "Đã load xong...\n",
      "\n",
      "5\n",
      "0 click =  True\n",
      "1 click =  True\n",
      "2 click =  True\n",
      "3 click =  True\n",
      "4 click =  True\n",
      "Đã load xong...\n",
      "\n",
      "6\n",
      "0 click =  True\n",
      "1 click =  True\n",
      "2 click =  True\n",
      "3 click =  True\n",
      "4 click =  True\n",
      "5 click =  True\n",
      "Đã load xong...\n",
      "\n",
      "6\n",
      "0 click =  True\n",
      "1 click =  True\n",
      "2 click =  True\n",
      "3 click =  True\n",
      "4 click =  True\n",
      "5 click =  True\n",
      "Đã load xong...\n",
      "\n",
      "5\n",
      "0 click =  True\n",
      "1 click =  True\n",
      "2 click =  True\n",
      "3 click =  True\n",
      "4 click =  True\n",
      "Đã load xong...\n",
      "\n",
      "6\n",
      "0 click =  True\n",
      "1 click =  True\n",
      "2 click =  True\n",
      "3 click =  True\n",
      "4 click =  True\n",
      "5 click =  True\n",
      "Đã load xong...\n",
      "\n",
      "6\n",
      "0 click =  True\n",
      "1 click =  True\n",
      "2 click =  True\n",
      "3 click =  True\n",
      "4 click =  True\n",
      "5 click =  True\n",
      "Đã load xong...\n",
      "\n",
      "6\n",
      "0 click =  True\n",
      "1 click =  True\n",
      "2 click =  True\n",
      "3 click =  True\n",
      "4 click =  True\n",
      "5 click =  True\n",
      "Đã load xong...\n",
      "\n",
      "Tổng số chuyến bay:  22\n"
     ]
    }
   ],
   "source": [
    "from lxml import html\n",
    "# Chọn số ngày cần lấy dữ liệu\n",
    "nums_date = 12\n",
    "tree = BeautifulSoup(browser.page_source, 'html.parser')\n",
    "\n",
    "def find_by_xpath(element_source,xpath_expression):\n",
    "    try: \n",
    "        root = html.fromstring(element_source)\n",
    "        return root.xpath(xpath_expression) \n",
    "    except:\n",
    "        return []\n",
    "\n",
    "def check_seat(browser, rows, type, i): # kiểm tra xem còn chỗ hay không: type = hạng vé (tương ứng là 1, 2, 3, 4 )\n",
    "    check = browser.find_element(By.XPATH, rows + f'[{i+1}]/div/div/div[2]/div[{type}]//p[contains(text(), \"Hết chỗ\")]')\n",
    "    try: \n",
    "        if check: # Nếu hết chỗ thì return về xpath tương ứng\n",
    "            return rows + f'[{i+1}]/div/div/div[2]/div[{type}]/div//p/text()'\n",
    "    except: return rows + f'[{i+1}]/div/div/div[2]/div[{type}]/div/p[1]/text()'\n",
    "\n",
    "def click_with_js(element):\n",
    "    \"\"\"Clicks an element using JavaScript\"\"\"\n",
    "    browser.execute_script(\"arguments[0].click();\", element)\n",
    "    \n",
    "\n",
    "class display_to_be_flex(object):\n",
    "    \"\"\"An expectation for checking that an element's display property has been changed to 'flex'.\"\"\"\n",
    "    def __init__(self, locator):\n",
    "        self.locator = locator\n",
    "\n",
    "    def __call__(self, driver):\n",
    "        try:\n",
    "            element = EC.presence_of_element_located(self.locator)(driver)\n",
    "            if driver.execute_script(\"return getComputedStyle(arguments[0]).display;\", element) == \"flex\":\n",
    "                return element\n",
    "            else:\n",
    "                return False\n",
    "        except StaleElementReferenceException:\n",
    "            return False\n",
    "\n",
    "\n",
    "data = []\n",
    "root = '//*[@id=\"root\"]/div[1]/div[2]/div/div/div/div[1]/div/div/div[4]/div[2]/div[1]/div'\n",
    "def get_rows(browser, addr):\n",
    "    sleep(1)\n",
    "    \n",
    "    # chờ để thông tin các chuyến bay được load đầy đủ và hiển thị trong css\n",
    "    wait.until(display_to_be_flex((By.XPATH, '//*[@id=\"root\"]/div[1]/div[2]/div/div/div/div[1]/div/div/div[4]/div[2]/div[2]')))\n",
    "    wait.until(EC.visibility_of_all_elements_located((By.XPATH, root)))\n",
    "    # browser.execute_script(\"document.querySelector('#my-button').click();\")\n",
    "    \n",
    "    # scroll xuống cuối trang để thấy hết các muibox element\n",
    "    browser.execute_script(\"window.scrollTo(0, document.body.scrollHeight);\")\n",
    "    sleep(1)\n",
    "    # scroll lại lên đầu trang để bắt đầu crawl\n",
    "    browser.execute_script(\"window.scrollTo(0, 0)\")\n",
    "    n_rows = len(find_by_xpath(browser.page_source, root))\n",
    "    print(n_rows)\n",
    "    for i in range(n_rows):\n",
    "        print(i, end = ' ')\n",
    "        click = True\n",
    "        \n",
    "        ID = find_by_xpath(browser.page_source, \n",
    "                        root + f'[{i+1}]/div/div/div[1]/div[1]/span/span/text()')[0]\n",
    "        \n",
    "        # Thay đổi xpath để lấy text đúng trong trường hợp hết chỗ: div/p[1]/text() -> div//p//text()\n",
    "        skyBoss_business = find_by_xpath(browser.page_source, root + f'[{i+1}]/div/div/div[2]/div[1]/div//p//text()')[0]\n",
    "        skyBoss = find_by_xpath(browser.page_source, root + f'[{i+1}]/div/div/div[2]/div[2]/div//p//text()')[0]\n",
    "        Deluxe = find_by_xpath(browser.page_source, root + f'[{i+1}]/div/div/div[2]/div[3]/div//p//text()')[0]\n",
    "        Eco = find_by_xpath(browser.page_source, root + f'[{i+1}]/div/div/div[2]/div[4]/div//p//text()')[0]\n",
    "        if skyBoss_business == skyBoss == Deluxe == Eco == 'Hết chỗ':\n",
    "            click = False\n",
    "        \n",
    "        row_elem = wait.until(EC.element_to_be_clickable((By.XPATH, root + f'[{i+1}]/div/div[1]/div[1]')))\n",
    "        if click:\n",
    "            click_with_js(row_elem)\n",
    "        sleep(0.01)\n",
    "        \n",
    "        # scroll tới ô cần click\n",
    "        # browser.execute_script('return arguments[0].scrollIntoView(true);',\n",
    "        #                        wait.until(EC.element_to_be_clickable((By.XPATH, rows + f'[{i+1}]/div/div[1]/div[1]'))))\n",
    "        \n",
    "        \n",
    "        # scroll tới ô hiện ra thông tin\n",
    "        print('click = ', click)\n",
    "        if click:\n",
    "            browser.execute_script('return arguments[0].scrollIntoView(true);',\n",
    "                           wait.until(EC.element_to_be_clickable((By.XPATH, root + f'[{i+1}]/div/div[2]'))))\n",
    "        else: \n",
    "            pass\n",
    "        \n",
    "        hours = find_by_xpath(browser.page_source, root + f'[{i+1}]/div/div/div[1]/div[2]/text()')\n",
    "        date = find_by_xpath(browser.page_source, addr + '/div/div/div/p[2]/text()')[0]\n",
    "        \n",
    "        \n",
    "        # find the element with the string \"Tổng tiền\" using XPath\n",
    "        # total_fee = find_by_xpath(browser.page_source, '//h4[text()=\"Tổng tiền\"]/following-sibling::h4/text()')\n",
    "        # print(total_fee)\n",
    "        \n",
    "        start_ = find_by_xpath(browser.page_source, root + \n",
    "    f'[{i+1}]/div/div[2]/div/div/div/div/div/div/div[2]/div/div[1]/div/div[2]/p[1][1]/text()')[0] if click else hours[0][:-1] + ' ' + date\n",
    "        end_ = find_by_xpath(browser.page_source, root + \n",
    "    f'[{i+1}]/div/div[2]/div/div/div/div/div/div/div[2]/div/div[2]/div/div[2]/p[1][1]/text()')[0] if click else hours[1][1:] + ' ' + date\n",
    "        airbus = ''.join(element for element in find_by_xpath(browser.page_source, root + f'[{i+1}]/div/div/div[1]/div[3]/span/text()'))\n",
    "        # wait.until(EC.presence_of_element_located((By.XPATH, root + f'[{i+1}]/div/div[1]/div[1]'))).click()\n",
    "        \n",
    "        data.append({'Số hiệu chuyến bay': ID, 'Khởi hành': start_, 'Đến': end_,'Airbus':airbus,\n",
    "                     'SkyBOSS_Business':skyBoss_business, 'SkyBOSS': skyBoss, 'Deluxe': Deluxe, 'Eco': Eco})\n",
    "        if click:\n",
    "            click_with_js(row_elem)\n",
    "    print('Đã load xong...\\n')\n",
    "    # scroll lên đầu trang để chuyển qua ngày khác\n",
    "    browser.find_element(By.TAG_NAME, \"body\").send_keys(Keys.CONTROL + Keys.HOME)\n",
    "    return data\n",
    "\n",
    "slick_track = tree.find(\"div\", class_=\"slick-track\") \n",
    "count = 0\n",
    "rows = '//*[@id=\"root\"]/div[1]/div[2]/div/div/div/div[1]/div/div/div[4]/div[2]/div[1]/div'\n",
    "\n",
    "childrens = list(slick_track.children)[:nums_date]\n",
    "\n",
    "if find_by_xpath(browser.page_source, '//h5[contains(text(), \"Không tìm thấy chuyến bay nào cho lựa chọn của bạn. Quay lại để chọn ngày khác.\")]'):\n",
    "    childrens = list(slick_track.children)[1:nums_date+1]\n",
    "    \n",
    "for child in childrens:\n",
    "    # print(f'{(int(child.attrs[\"data-index\"])+1)*\".\"}')\n",
    "    sleep(1)\n",
    "    # if wait.until(EC.visibility_of_element_located((By.XPATH, '(//p[contains(text(), \"Hết chỗ\")])'))):\n",
    "    #     browser.execute_script(\"window.scrollTo(0, document.body.scrollHeight);\")\n",
    "    #     wait.until(EC.visibility_of_element_located((By.XPATH, f'(//p[contains(text(), \"Hết chỗ\")]/ancestor::div/ancestor::div/following-sibling::div/div/p[contains(text(), \"{tomorrow_day}\")])'))).click()\n",
    "    #     wait.until(EC.visibility_of_element_located((By.XPATH, '//span[contains(text(), \"Đi tiếp\")]'))).click()\n",
    "        \n",
    "    # browser.execute_script(\"window.scrollTo(0,0);\")\n",
    "    addr = f'//*[@data-index=\"{int(child.attrs[\"data-index\"])}\"]'\n",
    "    next_day = wait.until(EC.element_to_be_clickable((By.XPATH, f'//*[@data-index=\"{int(child.attrs[\"data-index\"])}\"]')))\n",
    "    try:\n",
    "        next_day.click()\n",
    "    except:\n",
    "        next_day.click()\n",
    "\n",
    "    # print(len(find_by_xpath(browser.page_source, '//*[@id=\"root\"]/div[1]/div[2]/div/div/div/div[1]/div/div/div[4]/div[2]/div[1]/div')))\n",
    "    count += len(find_by_xpath(browser.page_source, '//*[@id=\"root\"]/div[1]/div[2]/div/div/div/div[1]/div/div/div[4]/div[2]/div[1]/div'))\n",
    "    # get_rows_selenium(browser)\n",
    "    get_rows(browser, addr)\n",
    "print('Tổng số chuyến bay: ', count)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "*Đánh giá: Vì sử dụng kết hợp giữa selenium và lxml nên tốc độ crawl tương đối chậm, chỉ hoạt động tốt ở những dữ liệu nhỏ và vừa (khoảng dưới 20 ngày)*"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### **Tiền xử lý dữ liệu**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Số hiệu chuyến bay</th>\n",
       "      <th>Khởi hành</th>\n",
       "      <th>Đến</th>\n",
       "      <th>Airbus</th>\n",
       "      <th>SkyBOSS_Business</th>\n",
       "      <th>SkyBOSS</th>\n",
       "      <th>Deluxe</th>\n",
       "      <th>Eco</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>VJ638</td>\n",
       "      <td>20:55 8 tháng 3</td>\n",
       "      <td>22:15 8 tháng 3</td>\n",
       "      <td>Airbus A320</td>\n",
       "      <td>Hết chỗ</td>\n",
       "      <td>Hết chỗ</td>\n",
       "      <td>Hết chỗ</td>\n",
       "      <td>Hết chỗ</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>VJ640</td>\n",
       "      <td>22:35, 08/03/2024 (Giờ địa phương)</td>\n",
       "      <td>23:50, 08/03/2024 (Giờ địa phương)</td>\n",
       "      <td>Airbus A321</td>\n",
       "      <td>Hết chỗ</td>\n",
       "      <td>3,090</td>\n",
       "      <td>2,140</td>\n",
       "      <td>1,440</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>VJ622</td>\n",
       "      <td>07:25 9 tháng 3</td>\n",
       "      <td>08:45 9 tháng 3</td>\n",
       "      <td>Airbus A320</td>\n",
       "      <td>Hết chỗ</td>\n",
       "      <td>Hết chỗ</td>\n",
       "      <td>Hết chỗ</td>\n",
       "      <td>Hết chỗ</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>VJ626</td>\n",
       "      <td>11:30 9 tháng 3</td>\n",
       "      <td>12:50 9 tháng 3</td>\n",
       "      <td>Airbus A320</td>\n",
       "      <td>Hết chỗ</td>\n",
       "      <td>Hết chỗ</td>\n",
       "      <td>Hết chỗ</td>\n",
       "      <td>Hết chỗ</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>VJ630</td>\n",
       "      <td>14:40, 09/03/2024 (Giờ địa phương)</td>\n",
       "      <td>16:00, 09/03/2024 (Giờ địa phương)</td>\n",
       "      <td>Airbus A321</td>\n",
       "      <td>Hết chỗ</td>\n",
       "      <td>3,090</td>\n",
       "      <td>2,210</td>\n",
       "      <td>1,510</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>63</th>\n",
       "      <td>VJ626</td>\n",
       "      <td>14:20, 19/03/2024 (Giờ địa phương)</td>\n",
       "      <td>15:40, 19/03/2024 (Giờ địa phương)</td>\n",
       "      <td>Airbus A320</td>\n",
       "      <td>Hết chỗ</td>\n",
       "      <td>3,090</td>\n",
       "      <td>2,210</td>\n",
       "      <td>1,510</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>VJ630</td>\n",
       "      <td>14:40, 19/03/2024 (Giờ địa phương)</td>\n",
       "      <td>16:00, 19/03/2024 (Giờ địa phương)</td>\n",
       "      <td>Airbus A321</td>\n",
       "      <td>Hết chỗ</td>\n",
       "      <td>3,090</td>\n",
       "      <td>1,950</td>\n",
       "      <td>1,250</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>VJ632</td>\n",
       "      <td>17:10, 19/03/2024 (Giờ địa phương)</td>\n",
       "      <td>18:30, 19/03/2024 (Giờ địa phương)</td>\n",
       "      <td>Airbus A320</td>\n",
       "      <td>Hết chỗ</td>\n",
       "      <td>3,090</td>\n",
       "      <td>1,590</td>\n",
       "      <td>890</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>VJ634</td>\n",
       "      <td>19:25, 19/03/2024 (Giờ địa phương)</td>\n",
       "      <td>20:45, 19/03/2024 (Giờ địa phương)</td>\n",
       "      <td>Airbus A321</td>\n",
       "      <td>Hết chỗ</td>\n",
       "      <td>3,090</td>\n",
       "      <td>1,440</td>\n",
       "      <td>740</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>VJ636</td>\n",
       "      <td>20:15, 19/03/2024 (Giờ địa phương)</td>\n",
       "      <td>21:35, 19/03/2024 (Giờ địa phương)</td>\n",
       "      <td>Airbus A320</td>\n",
       "      <td>Hết chỗ</td>\n",
       "      <td>3,090</td>\n",
       "      <td>1,440</td>\n",
       "      <td>740</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>68 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Số hiệu chuyến bay                           Khởi hành  \\\n",
       "0               VJ638                     20:55 8 tháng 3   \n",
       "1               VJ640  22:35, 08/03/2024 (Giờ địa phương)   \n",
       "2               VJ622                     07:25 9 tháng 3   \n",
       "3               VJ626                     11:30 9 tháng 3   \n",
       "4               VJ630  14:40, 09/03/2024 (Giờ địa phương)   \n",
       "..                ...                                 ...   \n",
       "63              VJ626  14:20, 19/03/2024 (Giờ địa phương)   \n",
       "64              VJ630  14:40, 19/03/2024 (Giờ địa phương)   \n",
       "65              VJ632  17:10, 19/03/2024 (Giờ địa phương)   \n",
       "66              VJ634  19:25, 19/03/2024 (Giờ địa phương)   \n",
       "67              VJ636  20:15, 19/03/2024 (Giờ địa phương)   \n",
       "\n",
       "                                   Đến       Airbus SkyBOSS_Business  SkyBOSS  \\\n",
       "0                      22:15 8 tháng 3  Airbus A320          Hết chỗ  Hết chỗ   \n",
       "1   23:50, 08/03/2024 (Giờ địa phương)  Airbus A321          Hết chỗ    3,090   \n",
       "2                      08:45 9 tháng 3  Airbus A320          Hết chỗ  Hết chỗ   \n",
       "3                      12:50 9 tháng 3  Airbus A320          Hết chỗ  Hết chỗ   \n",
       "4   16:00, 09/03/2024 (Giờ địa phương)  Airbus A321          Hết chỗ    3,090   \n",
       "..                                 ...          ...              ...      ...   \n",
       "63  15:40, 19/03/2024 (Giờ địa phương)  Airbus A320          Hết chỗ    3,090   \n",
       "64  16:00, 19/03/2024 (Giờ địa phương)  Airbus A321          Hết chỗ    3,090   \n",
       "65  18:30, 19/03/2024 (Giờ địa phương)  Airbus A320          Hết chỗ    3,090   \n",
       "66  20:45, 19/03/2024 (Giờ địa phương)  Airbus A321          Hết chỗ    3,090   \n",
       "67  21:35, 19/03/2024 (Giờ địa phương)  Airbus A320          Hết chỗ    3,090   \n",
       "\n",
       "     Deluxe      Eco  \n",
       "0   Hết chỗ  Hết chỗ  \n",
       "1     2,140    1,440  \n",
       "2   Hết chỗ  Hết chỗ  \n",
       "3   Hết chỗ  Hết chỗ  \n",
       "4     2,210    1,510  \n",
       "..      ...      ...  \n",
       "63    2,210    1,510  \n",
       "64    1,950    1,250  \n",
       "65    1,590      890  \n",
       "66    1,440      740  \n",
       "67    1,440      740  \n",
       "\n",
       "[68 rows x 8 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "flight = pd.DataFrame(data)\n",
    "display(flight)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(68, 8)"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "flight.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 68 entries, 0 to 67\n",
      "Data columns (total 8 columns):\n",
      " #   Column              Non-Null Count  Dtype \n",
      "---  ------              --------------  ----- \n",
      " 0   Số hiệu chuyến bay  68 non-null     object\n",
      " 1   Khởi hành           68 non-null     object\n",
      " 2   Đến                 68 non-null     object\n",
      " 3   Airbus              68 non-null     object\n",
      " 4   SkyBOSS_Business    68 non-null     object\n",
      " 5   SkyBOSS             68 non-null     object\n",
      " 6   Deluxe              68 non-null     object\n",
      " 7   Eco                 68 non-null     object\n",
      "dtypes: object(8)\n",
      "memory usage: 4.4+ KB\n"
     ]
    }
   ],
   "source": [
    "flight.info()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Dữ liệu gồm có 8 cột"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Các cột `Số hiệu chuyến bay`, `Airbus` có kiểu dữ liệu là object tương đối phù hợp nên không cần thay đổi."
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Ta thấy các cột giá vé của các hạng vé phải có kiểu dữ liệu là numeric nhưng ở trên thể hiện kiểu dữ liệu object** \n",
    "\n",
    "Thử nhìn qua các giá trị của từng cột:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1 ['Hết chỗ']\n",
      "2 ['Hết chỗ' '3,090']\n",
      "11 ['Hết chỗ' '2,140' '2,210' '1,820' '1,590' '1,440' '1,310' '1,700' '2,090'\n",
      " '1,950' '2,420']\n",
      "11 ['Hết chỗ' '1,440' '1,510' '1,120' '890' '740' '610' '1,000' '1,390'\n",
      " '1,250' '1,720']\n"
     ]
    }
   ],
   "source": [
    "ticket_class = ['SkyBOSS_Business', 'SkyBOSS', 'Deluxe', 'Eco']\n",
    "for i in ticket_class:\n",
    "    print(flight[i].nunique(), flight[i].unique())"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Chuyển kiểu dữ liệu thành float"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "SkyBOSS_Business    float64\n",
       "SkyBOSS             float64\n",
       "Deluxe              float64\n",
       "Eco                 float64\n",
       "dtype: object"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "for i in ticket_class:\n",
    "    flight[i] = flight[i].apply(lambda x: np.nan if x =='Hết chỗ' else x.replace(',', '') + 'e3').astype(float)\n",
    "\n",
    "flight[ticket_class].dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Số hiệu chuyến bay     0\n",
       "Khởi hành              0\n",
       "Đến                    0\n",
       "Airbus                 0\n",
       "SkyBOSS_Business      68\n",
       "SkyBOSS                3\n",
       "Deluxe                 3\n",
       "Eco                    3\n",
       "dtype: int64"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "flight.isna().sum()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Ta thấy cột Khởi hành và Đến có kiểu dữ liệu là object, ở đây ta sẽ đổi thành kiểu datetime cho phù hợp**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0                        20:55 8 tháng 3\n",
       "1     22:35, 08/03/2024 (Giờ địa phương)\n",
       "2                        07:25 9 tháng 3\n",
       "3                        11:30 9 tháng 3\n",
       "4     14:40, 09/03/2024 (Giờ địa phương)\n",
       "                     ...                \n",
       "63    14:20, 19/03/2024 (Giờ địa phương)\n",
       "64    14:40, 19/03/2024 (Giờ địa phương)\n",
       "65    17:10, 19/03/2024 (Giờ địa phương)\n",
       "66    19:25, 19/03/2024 (Giờ địa phương)\n",
       "67    20:15, 19/03/2024 (Giờ địa phương)\n",
       "Name: Khởi hành, Length: 68, dtype: object"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "flight['Khởi hành']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "import re \n",
    "pattern = r'(\\d{1,2})\\s+tháng\\s+(\\d{1,2})'\n",
    "flight['Khởi hành'] = flight['Khởi hành'].str.replace('( \\(Giờ địa phương\\))',\n",
    "    '', regex=True).str.replace(pattern, lambda x: f\"{int(x.group(1)):02}/{int(x.group(2)):02}/2023\", regex=True).str.replace(',', '', regex=True)\n",
    "flight['Đến'] = flight['Đến'].str.replace('( \\(Giờ địa phương\\))',\n",
    "    '', regex=True).str.replace(pattern, lambda x: f\"{int(x.group(1)):02}/{int(x.group(2)):02}/2023\", regex=True).str.replace(',', '', regex=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Khởi hành    datetime64[ns]\n",
       "Đến          datetime64[ns]\n",
       "dtype: object"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "flight['Khởi hành']\n",
    "str_time = '%H:%M %d/%m/%Y'\n",
    "flight['Khởi hành'] = pd.to_datetime(flight['Khởi hành'], format=str_time)\n",
    "flight['Đến'] = pd.to_datetime(flight['Đến'], format=str_time)\n",
    "flight[['Khởi hành', 'Đến']].dtypes"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Giá vé tổng = giá vé hiện tại + thuế VAT * giá vé hiện tại + phí dịch vụ**\n",
    "- Do đó, sẽ thêm các cột mới này vào dữ liệu.\n",
    "- Thuế VAT hiện tại là 10%."
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<font color=red>Các khoản phí hiện tại (ngày 26/04/2023) là 593000 VND, phí VAT 10% của giá vé</font>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "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>Số hiệu chuyến bay</th>\n",
       "      <th>Khởi hành</th>\n",
       "      <th>Đến</th>\n",
       "      <th>Airbus</th>\n",
       "      <th>SkyBOSS_Business</th>\n",
       "      <th>SkyBOSS</th>\n",
       "      <th>Deluxe</th>\n",
       "      <th>Eco</th>\n",
       "      <th>Thuế_phí</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>VJ638</td>\n",
       "      <td>2023-03-08 20:55:00</td>\n",
       "      <td>2023-03-08 22:15:00</td>\n",
       "      <td>Airbus A320</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>593.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>VJ640</td>\n",
       "      <td>2024-03-08 22:35:00</td>\n",
       "      <td>2024-03-08 23:50:00</td>\n",
       "      <td>Airbus A321</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>2947000.0</td>\n",
       "      <td>2177000.0</td>\n",
       "      <td>593.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>VJ622</td>\n",
       "      <td>2023-03-09 07:25:00</td>\n",
       "      <td>2023-03-09 08:45:00</td>\n",
       "      <td>Airbus A320</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>593.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>VJ626</td>\n",
       "      <td>2023-03-09 11:30:00</td>\n",
       "      <td>2023-03-09 12:50:00</td>\n",
       "      <td>Airbus A320</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>593.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>VJ630</td>\n",
       "      <td>2024-03-09 14:40:00</td>\n",
       "      <td>2024-03-09 16:00:00</td>\n",
       "      <td>Airbus A321</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>3024000.0</td>\n",
       "      <td>2254000.0</td>\n",
       "      <td>593.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>VJ626</td>\n",
       "      <td>2024-03-19 14:20:00</td>\n",
       "      <td>2024-03-19 15:40:00</td>\n",
       "      <td>Airbus A320</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>3024000.0</td>\n",
       "      <td>2254000.0</td>\n",
       "      <td>593.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>VJ630</td>\n",
       "      <td>2024-03-19 14:40:00</td>\n",
       "      <td>2024-03-19 16:00:00</td>\n",
       "      <td>Airbus A321</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>2738000.0</td>\n",
       "      <td>1968000.0</td>\n",
       "      <td>593.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>VJ632</td>\n",
       "      <td>2024-03-19 17:10:00</td>\n",
       "      <td>2024-03-19 18:30:00</td>\n",
       "      <td>Airbus A320</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>2342000.0</td>\n",
       "      <td>1572000.0</td>\n",
       "      <td>593.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>VJ634</td>\n",
       "      <td>2024-03-19 19:25:00</td>\n",
       "      <td>2024-03-19 20:45:00</td>\n",
       "      <td>Airbus A321</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>2177000.0</td>\n",
       "      <td>1407000.0</td>\n",
       "      <td>593.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>VJ636</td>\n",
       "      <td>2024-03-19 20:15:00</td>\n",
       "      <td>2024-03-19 21:35:00</td>\n",
       "      <td>Airbus A320</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>2177000.0</td>\n",
       "      <td>1407000.0</td>\n",
       "      <td>593.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>68 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Số hiệu chuyến bay           Khởi hành                 Đến       Airbus  \\\n",
       "0               VJ638 2023-03-08 20:55:00 2023-03-08 22:15:00  Airbus A320   \n",
       "1               VJ640 2024-03-08 22:35:00 2024-03-08 23:50:00  Airbus A321   \n",
       "2               VJ622 2023-03-09 07:25:00 2023-03-09 08:45:00  Airbus A320   \n",
       "3               VJ626 2023-03-09 11:30:00 2023-03-09 12:50:00  Airbus A320   \n",
       "4               VJ630 2024-03-09 14:40:00 2024-03-09 16:00:00  Airbus A321   \n",
       "..                ...                 ...                 ...          ...   \n",
       "63              VJ626 2024-03-19 14:20:00 2024-03-19 15:40:00  Airbus A320   \n",
       "64              VJ630 2024-03-19 14:40:00 2024-03-19 16:00:00  Airbus A321   \n",
       "65              VJ632 2024-03-19 17:10:00 2024-03-19 18:30:00  Airbus A320   \n",
       "66              VJ634 2024-03-19 19:25:00 2024-03-19 20:45:00  Airbus A321   \n",
       "67              VJ636 2024-03-19 20:15:00 2024-03-19 21:35:00  Airbus A320   \n",
       "\n",
       "    SkyBOSS_Business    SkyBOSS     Deluxe        Eco  Thuế_phí  \n",
       "0                NaN        NaN        NaN        NaN     593.0  \n",
       "1                NaN  3992000.0  2947000.0  2177000.0     593.0  \n",
       "2                NaN        NaN        NaN        NaN     593.0  \n",
       "3                NaN        NaN        NaN        NaN     593.0  \n",
       "4                NaN  3992000.0  3024000.0  2254000.0     593.0  \n",
       "..               ...        ...        ...        ...       ...  \n",
       "63               NaN  3992000.0  3024000.0  2254000.0     593.0  \n",
       "64               NaN  3992000.0  2738000.0  1968000.0     593.0  \n",
       "65               NaN  3992000.0  2342000.0  1572000.0     593.0  \n",
       "66               NaN  3992000.0  2177000.0  1407000.0     593.0  \n",
       "67               NaN  3992000.0  2177000.0  1407000.0     593.0  \n",
       "\n",
       "[68 rows x 9 columns]"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fee = 593000.0\n",
    "flight[['SkyBOSS_Business', 'SkyBOSS', 'Deluxe', 'Eco']] = flight[['SkyBOSS_Business', 'SkyBOSS', 'Deluxe', 'Eco']] * 1.1+ fee\n",
    "flight['Thuế_phí'] = 593.0\n",
    "flight"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Lưu vào file csv với filename là ngày lấy dữ liệu**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Directory '08032024' created successfully.\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "path = today.strftime('%d%m%Y')\n",
    "\n",
    "if not os.path.exists(path):\n",
    "    # Create the directory\n",
    "    os.makedirs(path)\n",
    "    print(f\"Directory '{path}' created successfully.\")\n",
    "else:\n",
    "    print(f\"Directory '{path}' already exists.\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "flight.to_csv(path + f'/{path}.csv')"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<font color=green>**Tìm giá vé rẻ nhất cho từng hạng vé**</font> "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Số hiệu chuyến bay</th>\n",
       "      <th>Khởi hành</th>\n",
       "      <th>Đến</th>\n",
       "      <th>Airbus</th>\n",
       "      <th>SkyBOSS_Business</th>\n",
       "      <th>SkyBOSS</th>\n",
       "      <th>Deluxe</th>\n",
       "      <th>Eco</th>\n",
       "      <th>Thuế_phí</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>VJ640</td>\n",
       "      <td>2024-03-08 22:35:00</td>\n",
       "      <td>2024-03-08 23:50:00</td>\n",
       "      <td>Airbus A321</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>2947000.0</td>\n",
       "      <td>2177000.0</td>\n",
       "      <td>593.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>VJ630</td>\n",
       "      <td>2024-03-09 14:40:00</td>\n",
       "      <td>2024-03-09 16:00:00</td>\n",
       "      <td>Airbus A321</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>3024000.0</td>\n",
       "      <td>2254000.0</td>\n",
       "      <td>593.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>VJ632</td>\n",
       "      <td>2024-03-09 17:20:00</td>\n",
       "      <td>2024-03-09 18:35:00</td>\n",
       "      <td>Airbus A320</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>2595000.0</td>\n",
       "      <td>1825000.0</td>\n",
       "      <td>593.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>VJ634</td>\n",
       "      <td>2024-03-09 19:25:00</td>\n",
       "      <td>2024-03-09 20:45:00</td>\n",
       "      <td>Airbus A321</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>2342000.0</td>\n",
       "      <td>1572000.0</td>\n",
       "      <td>593.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>VJ638</td>\n",
       "      <td>2024-03-09 21:05:00</td>\n",
       "      <td>2024-03-09 22:25:00</td>\n",
       "      <td>Airbus A321</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>2177000.0</td>\n",
       "      <td>1407000.0</td>\n",
       "      <td>593.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>VJ626</td>\n",
       "      <td>2024-03-19 14:20:00</td>\n",
       "      <td>2024-03-19 15:40:00</td>\n",
       "      <td>Airbus A320</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>3024000.0</td>\n",
       "      <td>2254000.0</td>\n",
       "      <td>593.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>VJ630</td>\n",
       "      <td>2024-03-19 14:40:00</td>\n",
       "      <td>2024-03-19 16:00:00</td>\n",
       "      <td>Airbus A321</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>2738000.0</td>\n",
       "      <td>1968000.0</td>\n",
       "      <td>593.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>VJ632</td>\n",
       "      <td>2024-03-19 17:10:00</td>\n",
       "      <td>2024-03-19 18:30:00</td>\n",
       "      <td>Airbus A320</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>2342000.0</td>\n",
       "      <td>1572000.0</td>\n",
       "      <td>593.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>VJ634</td>\n",
       "      <td>2024-03-19 19:25:00</td>\n",
       "      <td>2024-03-19 20:45:00</td>\n",
       "      <td>Airbus A321</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>2177000.0</td>\n",
       "      <td>1407000.0</td>\n",
       "      <td>593.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>VJ636</td>\n",
       "      <td>2024-03-19 20:15:00</td>\n",
       "      <td>2024-03-19 21:35:00</td>\n",
       "      <td>Airbus A320</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>2177000.0</td>\n",
       "      <td>1407000.0</td>\n",
       "      <td>593.0</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>65 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Số hiệu chuyến bay           Khởi hành                 Đến       Airbus  \\\n",
       "1               VJ640 2024-03-08 22:35:00 2024-03-08 23:50:00  Airbus A321   \n",
       "4               VJ630 2024-03-09 14:40:00 2024-03-09 16:00:00  Airbus A321   \n",
       "5               VJ632 2024-03-09 17:20:00 2024-03-09 18:35:00  Airbus A320   \n",
       "6               VJ634 2024-03-09 19:25:00 2024-03-09 20:45:00  Airbus A321   \n",
       "7               VJ638 2024-03-09 21:05:00 2024-03-09 22:25:00  Airbus A321   \n",
       "..                ...                 ...                 ...          ...   \n",
       "63              VJ626 2024-03-19 14:20:00 2024-03-19 15:40:00  Airbus A320   \n",
       "64              VJ630 2024-03-19 14:40:00 2024-03-19 16:00:00  Airbus A321   \n",
       "65              VJ632 2024-03-19 17:10:00 2024-03-19 18:30:00  Airbus A320   \n",
       "66              VJ634 2024-03-19 19:25:00 2024-03-19 20:45:00  Airbus A321   \n",
       "67              VJ636 2024-03-19 20:15:00 2024-03-19 21:35:00  Airbus A320   \n",
       "\n",
       "    SkyBOSS_Business    SkyBOSS     Deluxe        Eco  Thuế_phí  \n",
       "1                NaN  3992000.0  2947000.0  2177000.0     593.0  \n",
       "4                NaN  3992000.0  3024000.0  2254000.0     593.0  \n",
       "5                NaN  3992000.0  2595000.0  1825000.0     593.0  \n",
       "6                NaN  3992000.0  2342000.0  1572000.0     593.0  \n",
       "7                NaN  3992000.0  2177000.0  1407000.0     593.0  \n",
       "..               ...        ...        ...        ...       ...  \n",
       "63               NaN  3992000.0  3024000.0  2254000.0     593.0  \n",
       "64               NaN  3992000.0  2738000.0  1968000.0     593.0  \n",
       "65               NaN  3992000.0  2342000.0  1572000.0     593.0  \n",
       "66               NaN  3992000.0  2177000.0  1407000.0     593.0  \n",
       "67               NaN  3992000.0  2177000.0  1407000.0     593.0  \n",
       "\n",
       "[65 rows x 9 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "      <th></th>\n",
       "      <th>Số hiệu chuyến bay</th>\n",
       "      <th>Khởi hành</th>\n",
       "      <th>Đến</th>\n",
       "      <th>Airbus</th>\n",
       "      <th>SkyBOSS_Business</th>\n",
       "      <th>SkyBOSS</th>\n",
       "      <th>Deluxe</th>\n",
       "      <th>Eco</th>\n",
       "      <th>Thuế_phí</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>VJ640</td>\n",
       "      <td>2024-03-09 22:35:00</td>\n",
       "      <td>2024-03-09 23:50:00</td>\n",
       "      <td>Airbus A321</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>2034000.0</td>\n",
       "      <td>1264000.0</td>\n",
       "      <td>593.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>VJ640</td>\n",
       "      <td>2024-03-10 22:35:00</td>\n",
       "      <td>2024-03-10 23:55:00</td>\n",
       "      <td>Airbus A321</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>2034000.0</td>\n",
       "      <td>1264000.0</td>\n",
       "      <td>593.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>VJ636</td>\n",
       "      <td>2024-03-11 20:15:00</td>\n",
       "      <td>2024-03-11 21:35:00</td>\n",
       "      <td>Airbus A320</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>2034000.0</td>\n",
       "      <td>1264000.0</td>\n",
       "      <td>593.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>VJ634</td>\n",
       "      <td>2024-03-12 19:25:00</td>\n",
       "      <td>2024-03-12 20:45:00</td>\n",
       "      <td>Airbus A321</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>2034000.0</td>\n",
       "      <td>1264000.0</td>\n",
       "      <td>593.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>VJ636</td>\n",
       "      <td>2024-03-12 20:15:00</td>\n",
       "      <td>2024-03-12 21:35:00</td>\n",
       "      <td>Airbus A321</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>2034000.0</td>\n",
       "      <td>1264000.0</td>\n",
       "      <td>593.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>VJ634</td>\n",
       "      <td>2024-03-13 19:25:00</td>\n",
       "      <td>2024-03-13 20:45:00</td>\n",
       "      <td>Airbus A321</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>2034000.0</td>\n",
       "      <td>1264000.0</td>\n",
       "      <td>593.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>VJ636</td>\n",
       "      <td>2024-03-13 20:15:00</td>\n",
       "      <td>2024-03-13 21:35:00</td>\n",
       "      <td>Airbus A320</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>2034000.0</td>\n",
       "      <td>1264000.0</td>\n",
       "      <td>593.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>VJ634</td>\n",
       "      <td>2024-03-16 19:25:00</td>\n",
       "      <td>2024-03-16 20:45:00</td>\n",
       "      <td>Airbus A321</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>2034000.0</td>\n",
       "      <td>1264000.0</td>\n",
       "      <td>593.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>VJ634</td>\n",
       "      <td>2024-03-17 19:25:00</td>\n",
       "      <td>2024-03-17 20:45:00</td>\n",
       "      <td>Airbus A321</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>2034000.0</td>\n",
       "      <td>1264000.0</td>\n",
       "      <td>593.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>VJ636</td>\n",
       "      <td>2024-03-17 20:15:00</td>\n",
       "      <td>2024-03-17 21:35:00</td>\n",
       "      <td>Airbus A321</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>2034000.0</td>\n",
       "      <td>1264000.0</td>\n",
       "      <td>593.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Số hiệu chuyến bay           Khởi hành                 Đến       Airbus  \\\n",
       "8               VJ640 2024-03-09 22:35:00 2024-03-09 23:50:00  Airbus A321   \n",
       "15              VJ640 2024-03-10 22:35:00 2024-03-10 23:55:00  Airbus A321   \n",
       "21              VJ636 2024-03-11 20:15:00 2024-03-11 21:35:00  Airbus A320   \n",
       "26              VJ634 2024-03-12 19:25:00 2024-03-12 20:45:00  Airbus A321   \n",
       "27              VJ636 2024-03-12 20:15:00 2024-03-12 21:35:00  Airbus A321   \n",
       "31              VJ634 2024-03-13 19:25:00 2024-03-13 20:45:00  Airbus A321   \n",
       "32              VJ636 2024-03-13 20:15:00 2024-03-13 21:35:00  Airbus A320   \n",
       "49              VJ634 2024-03-16 19:25:00 2024-03-16 20:45:00  Airbus A321   \n",
       "54              VJ634 2024-03-17 19:25:00 2024-03-17 20:45:00  Airbus A321   \n",
       "55              VJ636 2024-03-17 20:15:00 2024-03-17 21:35:00  Airbus A321   \n",
       "\n",
       "    SkyBOSS_Business    SkyBOSS     Deluxe        Eco  Thuế_phí  \n",
       "8                NaN  3992000.0  2034000.0  1264000.0     593.0  \n",
       "15               NaN  3992000.0  2034000.0  1264000.0     593.0  \n",
       "21               NaN  3992000.0  2034000.0  1264000.0     593.0  \n",
       "26               NaN  3992000.0  2034000.0  1264000.0     593.0  \n",
       "27               NaN  3992000.0  2034000.0  1264000.0     593.0  \n",
       "31               NaN  3992000.0  2034000.0  1264000.0     593.0  \n",
       "32               NaN  3992000.0  2034000.0  1264000.0     593.0  \n",
       "49               NaN  3992000.0  2034000.0  1264000.0     593.0  \n",
       "54               NaN  3992000.0  2034000.0  1264000.0     593.0  \n",
       "55               NaN  3992000.0  2034000.0  1264000.0     593.0  "
      ]
     },
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Số hiệu chuyến bay</th>\n",
       "      <th>Khởi hành</th>\n",
       "      <th>Đến</th>\n",
       "      <th>Airbus</th>\n",
       "      <th>SkyBOSS_Business</th>\n",
       "      <th>SkyBOSS</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>VJ640</td>\n",
       "      <td>2024-03-09 22:35:00</td>\n",
       "      <td>2024-03-09 23:50:00</td>\n",
       "      <td>Airbus A321</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>2034000.0</td>\n",
       "      <td>1264000.0</td>\n",
       "      <td>593.0</td>\n",
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       "      <th>15</th>\n",
       "      <td>VJ640</td>\n",
       "      <td>2024-03-10 22:35:00</td>\n",
       "      <td>2024-03-10 23:55:00</td>\n",
       "      <td>Airbus A321</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>2034000.0</td>\n",
       "      <td>1264000.0</td>\n",
       "      <td>593.0</td>\n",
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       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>VJ636</td>\n",
       "      <td>2024-03-11 20:15:00</td>\n",
       "      <td>2024-03-11 21:35:00</td>\n",
       "      <td>Airbus A320</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>2034000.0</td>\n",
       "      <td>1264000.0</td>\n",
       "      <td>593.0</td>\n",
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       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>VJ634</td>\n",
       "      <td>2024-03-12 19:25:00</td>\n",
       "      <td>2024-03-12 20:45:00</td>\n",
       "      <td>Airbus A321</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>2034000.0</td>\n",
       "      <td>1264000.0</td>\n",
       "      <td>593.0</td>\n",
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       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>VJ636</td>\n",
       "      <td>2024-03-12 20:15:00</td>\n",
       "      <td>2024-03-12 21:35:00</td>\n",
       "      <td>Airbus A321</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>2034000.0</td>\n",
       "      <td>1264000.0</td>\n",
       "      <td>593.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>VJ634</td>\n",
       "      <td>2024-03-13 19:25:00</td>\n",
       "      <td>2024-03-13 20:45:00</td>\n",
       "      <td>Airbus A321</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>2034000.0</td>\n",
       "      <td>1264000.0</td>\n",
       "      <td>593.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>VJ636</td>\n",
       "      <td>2024-03-13 20:15:00</td>\n",
       "      <td>2024-03-13 21:35:00</td>\n",
       "      <td>Airbus A320</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>2034000.0</td>\n",
       "      <td>1264000.0</td>\n",
       "      <td>593.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>VJ634</td>\n",
       "      <td>2024-03-16 19:25:00</td>\n",
       "      <td>2024-03-16 20:45:00</td>\n",
       "      <td>Airbus A321</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>2034000.0</td>\n",
       "      <td>1264000.0</td>\n",
       "      <td>593.0</td>\n",
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       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>VJ634</td>\n",
       "      <td>2024-03-17 19:25:00</td>\n",
       "      <td>2024-03-17 20:45:00</td>\n",
       "      <td>Airbus A321</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>2034000.0</td>\n",
       "      <td>1264000.0</td>\n",
       "      <td>593.0</td>\n",
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       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>VJ636</td>\n",
       "      <td>2024-03-17 20:15:00</td>\n",
       "      <td>2024-03-17 21:35:00</td>\n",
       "      <td>Airbus A321</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>2034000.0</td>\n",
       "      <td>1264000.0</td>\n",
       "      <td>593.0</td>\n",
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       "  </tbody>\n",
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       "</div>"
      ],
      "text/plain": [
       "   Số hiệu chuyến bay           Khởi hành                 Đến       Airbus  \\\n",
       "8               VJ640 2024-03-09 22:35:00 2024-03-09 23:50:00  Airbus A321   \n",
       "15              VJ640 2024-03-10 22:35:00 2024-03-10 23:55:00  Airbus A321   \n",
       "21              VJ636 2024-03-11 20:15:00 2024-03-11 21:35:00  Airbus A320   \n",
       "26              VJ634 2024-03-12 19:25:00 2024-03-12 20:45:00  Airbus A321   \n",
       "27              VJ636 2024-03-12 20:15:00 2024-03-12 21:35:00  Airbus A321   \n",
       "31              VJ634 2024-03-13 19:25:00 2024-03-13 20:45:00  Airbus A321   \n",
       "32              VJ636 2024-03-13 20:15:00 2024-03-13 21:35:00  Airbus A320   \n",
       "49              VJ634 2024-03-16 19:25:00 2024-03-16 20:45:00  Airbus A321   \n",
       "54              VJ634 2024-03-17 19:25:00 2024-03-17 20:45:00  Airbus A321   \n",
       "55              VJ636 2024-03-17 20:15:00 2024-03-17 21:35:00  Airbus A321   \n",
       "\n",
       "    SkyBOSS_Business    SkyBOSS     Deluxe        Eco  Thuế_phí  \n",
       "8                NaN  3992000.0  2034000.0  1264000.0     593.0  \n",
       "15               NaN  3992000.0  2034000.0  1264000.0     593.0  \n",
       "21               NaN  3992000.0  2034000.0  1264000.0     593.0  \n",
       "26               NaN  3992000.0  2034000.0  1264000.0     593.0  \n",
       "27               NaN  3992000.0  2034000.0  1264000.0     593.0  \n",
       "31               NaN  3992000.0  2034000.0  1264000.0     593.0  \n",
       "32               NaN  3992000.0  2034000.0  1264000.0     593.0  \n",
       "49               NaN  3992000.0  2034000.0  1264000.0     593.0  \n",
       "54               NaN  3992000.0  2034000.0  1264000.0     593.0  \n",
       "55               NaN  3992000.0  2034000.0  1264000.0     593.0  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# print('Vé rẻ nhất trong 10 ngày tới', flight.loc[flight['SkyBOSS'].idxmin()], sep='\\n')\n",
    "# print('Vé đắt nhất trong 10 ngày tới', flight.loc[flight['Deluxe'].idxmax()], sep='\\n')\n",
    "def min_price(class_):\n",
    "    return flight[flight[class_] == flight[class_].min()]\n",
    "\n",
    "display(min_price('SkyBOSS'))\n",
    "display(min_price('Deluxe'))\n",
    "display(min_price('Eco'))"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<font color=green>**Tìm giá vé rẻ nhất của mỗi ngày cho từng hạng vé**</font>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>Số hiệu chuyến bay</th>\n",
       "      <th>Khởi hành</th>\n",
       "      <th>Đến</th>\n",
       "      <th>Airbus</th>\n",
       "      <th>SkyBOSS_Business</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>VJ640</td>\n",
       "      <td>2024-03-08 22:35:00</td>\n",
       "      <td>2024-03-08 23:50:00</td>\n",
       "      <td>Airbus A321</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>2947000.0</td>\n",
       "      <td>2177000.0</td>\n",
       "      <td>593.0</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>VJ630</td>\n",
       "      <td>2024-03-09 14:40:00</td>\n",
       "      <td>2024-03-09 16:00:00</td>\n",
       "      <td>Airbus A321</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>3024000.0</td>\n",
       "      <td>2254000.0</td>\n",
       "      <td>593.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>VJ632</td>\n",
       "      <td>2024-03-09 17:20:00</td>\n",
       "      <td>2024-03-09 18:35:00</td>\n",
       "      <td>Airbus A320</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>2595000.0</td>\n",
       "      <td>1825000.0</td>\n",
       "      <td>593.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>VJ634</td>\n",
       "      <td>2024-03-09 19:25:00</td>\n",
       "      <td>2024-03-09 20:45:00</td>\n",
       "      <td>Airbus A321</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>2342000.0</td>\n",
       "      <td>1572000.0</td>\n",
       "      <td>593.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>VJ638</td>\n",
       "      <td>2024-03-09 21:05:00</td>\n",
       "      <td>2024-03-09 22:25:00</td>\n",
       "      <td>Airbus A321</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>2177000.0</td>\n",
       "      <td>1407000.0</td>\n",
       "      <td>593.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>VJ626</td>\n",
       "      <td>2024-03-19 14:20:00</td>\n",
       "      <td>2024-03-19 15:40:00</td>\n",
       "      <td>Airbus A320</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>3024000.0</td>\n",
       "      <td>2254000.0</td>\n",
       "      <td>593.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>VJ630</td>\n",
       "      <td>2024-03-19 14:40:00</td>\n",
       "      <td>2024-03-19 16:00:00</td>\n",
       "      <td>Airbus A321</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>2738000.0</td>\n",
       "      <td>1968000.0</td>\n",
       "      <td>593.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>VJ632</td>\n",
       "      <td>2024-03-19 17:10:00</td>\n",
       "      <td>2024-03-19 18:30:00</td>\n",
       "      <td>Airbus A320</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>2342000.0</td>\n",
       "      <td>1572000.0</td>\n",
       "      <td>593.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>VJ634</td>\n",
       "      <td>2024-03-19 19:25:00</td>\n",
       "      <td>2024-03-19 20:45:00</td>\n",
       "      <td>Airbus A321</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>2177000.0</td>\n",
       "      <td>1407000.0</td>\n",
       "      <td>593.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>VJ636</td>\n",
       "      <td>2024-03-19 20:15:00</td>\n",
       "      <td>2024-03-19 21:35:00</td>\n",
       "      <td>Airbus A320</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>2177000.0</td>\n",
       "      <td>1407000.0</td>\n",
       "      <td>593.0</td>\n",
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       "</table>\n",
       "<p>65 rows × 9 columns</p>\n",
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      "text/plain": [
       "   Số hiệu chuyến bay           Khởi hành                 Đến       Airbus  \\\n",
       "1               VJ640 2024-03-08 22:35:00 2024-03-08 23:50:00  Airbus A321   \n",
       "4               VJ630 2024-03-09 14:40:00 2024-03-09 16:00:00  Airbus A321   \n",
       "5               VJ632 2024-03-09 17:20:00 2024-03-09 18:35:00  Airbus A320   \n",
       "6               VJ634 2024-03-09 19:25:00 2024-03-09 20:45:00  Airbus A321   \n",
       "7               VJ638 2024-03-09 21:05:00 2024-03-09 22:25:00  Airbus A321   \n",
       "..                ...                 ...                 ...          ...   \n",
       "63              VJ626 2024-03-19 14:20:00 2024-03-19 15:40:00  Airbus A320   \n",
       "64              VJ630 2024-03-19 14:40:00 2024-03-19 16:00:00  Airbus A321   \n",
       "65              VJ632 2024-03-19 17:10:00 2024-03-19 18:30:00  Airbus A320   \n",
       "66              VJ634 2024-03-19 19:25:00 2024-03-19 20:45:00  Airbus A321   \n",
       "67              VJ636 2024-03-19 20:15:00 2024-03-19 21:35:00  Airbus A320   \n",
       "\n",
       "    SkyBOSS_Business    SkyBOSS     Deluxe        Eco  Thuế_phí  \n",
       "1                NaN  3992000.0  2947000.0  2177000.0     593.0  \n",
       "4                NaN  3992000.0  3024000.0  2254000.0     593.0  \n",
       "5                NaN  3992000.0  2595000.0  1825000.0     593.0  \n",
       "6                NaN  3992000.0  2342000.0  1572000.0     593.0  \n",
       "7                NaN  3992000.0  2177000.0  1407000.0     593.0  \n",
       "..               ...        ...        ...        ...       ...  \n",
       "63               NaN  3992000.0  3024000.0  2254000.0     593.0  \n",
       "64               NaN  3992000.0  2738000.0  1968000.0     593.0  \n",
       "65               NaN  3992000.0  2342000.0  1572000.0     593.0  \n",
       "66               NaN  3992000.0  2177000.0  1407000.0     593.0  \n",
       "67               NaN  3992000.0  2177000.0  1407000.0     593.0  \n",
       "\n",
       "[65 rows x 9 columns]"
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Số hiệu chuyến bay</th>\n",
       "      <th>Khởi hành</th>\n",
       "      <th>Đến</th>\n",
       "      <th>Airbus</th>\n",
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       "      <th>SkyBOSS</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>VJ640</td>\n",
       "      <td>2024-03-08 22:35:00</td>\n",
       "      <td>2024-03-08 23:50:00</td>\n",
       "      <td>Airbus A321</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>2947000.0</td>\n",
       "      <td>2177000.0</td>\n",
       "      <td>593.0</td>\n",
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       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>VJ640</td>\n",
       "      <td>2024-03-09 22:35:00</td>\n",
       "      <td>2024-03-09 23:50:00</td>\n",
       "      <td>Airbus A321</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>2034000.0</td>\n",
       "      <td>1264000.0</td>\n",
       "      <td>593.0</td>\n",
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       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>VJ640</td>\n",
       "      <td>2024-03-10 22:35:00</td>\n",
       "      <td>2024-03-10 23:55:00</td>\n",
       "      <td>Airbus A321</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>2034000.0</td>\n",
       "      <td>1264000.0</td>\n",
       "      <td>593.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>VJ636</td>\n",
       "      <td>2024-03-11 20:15:00</td>\n",
       "      <td>2024-03-11 21:35:00</td>\n",
       "      <td>Airbus A320</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>2034000.0</td>\n",
       "      <td>1264000.0</td>\n",
       "      <td>593.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>VJ634</td>\n",
       "      <td>2024-03-12 19:25:00</td>\n",
       "      <td>2024-03-12 20:45:00</td>\n",
       "      <td>Airbus A321</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>2034000.0</td>\n",
       "      <td>1264000.0</td>\n",
       "      <td>593.0</td>\n",
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       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>VJ636</td>\n",
       "      <td>2024-03-12 20:15:00</td>\n",
       "      <td>2024-03-12 21:35:00</td>\n",
       "      <td>Airbus A321</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>2034000.0</td>\n",
       "      <td>1264000.0</td>\n",
       "      <td>593.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>VJ634</td>\n",
       "      <td>2024-03-13 19:25:00</td>\n",
       "      <td>2024-03-13 20:45:00</td>\n",
       "      <td>Airbus A321</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>2034000.0</td>\n",
       "      <td>1264000.0</td>\n",
       "      <td>593.0</td>\n",
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       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>VJ636</td>\n",
       "      <td>2024-03-13 20:15:00</td>\n",
       "      <td>2024-03-13 21:35:00</td>\n",
       "      <td>Airbus A320</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>2034000.0</td>\n",
       "      <td>1264000.0</td>\n",
       "      <td>593.0</td>\n",
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       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>VJ622</td>\n",
       "      <td>2024-03-14 07:25:00</td>\n",
       "      <td>2024-03-14 08:45:00</td>\n",
       "      <td>Airbus A320</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>2463000.0</td>\n",
       "      <td>1693000.0</td>\n",
       "      <td>593.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>VJ630</td>\n",
       "      <td>2024-03-14 14:40:00</td>\n",
       "      <td>2024-03-14 16:00:00</td>\n",
       "      <td>Airbus A321</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>2463000.0</td>\n",
       "      <td>1693000.0</td>\n",
       "      <td>593.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>VJ632</td>\n",
       "      <td>2024-03-14 17:20:00</td>\n",
       "      <td>2024-03-14 18:35:00</td>\n",
       "      <td>Airbus A320</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>2463000.0</td>\n",
       "      <td>1693000.0</td>\n",
       "      <td>593.0</td>\n",
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       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>VJ634</td>\n",
       "      <td>2024-03-14 19:25:00</td>\n",
       "      <td>2024-03-14 20:45:00</td>\n",
       "      <td>Airbus A320</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>2463000.0</td>\n",
       "      <td>1693000.0</td>\n",
       "      <td>593.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>VJ636</td>\n",
       "      <td>2024-03-14 20:15:00</td>\n",
       "      <td>2024-03-14 21:35:00</td>\n",
       "      <td>Airbus A321</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>2463000.0</td>\n",
       "      <td>1693000.0</td>\n",
       "      <td>593.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>VJ636</td>\n",
       "      <td>2024-03-15 21:10:00</td>\n",
       "      <td>2024-03-15 22:30:00</td>\n",
       "      <td>Airbus A320</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>2463000.0</td>\n",
       "      <td>1693000.0</td>\n",
       "      <td>593.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>VJ634</td>\n",
       "      <td>2024-03-16 19:25:00</td>\n",
       "      <td>2024-03-16 20:45:00</td>\n",
       "      <td>Airbus A321</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>2034000.0</td>\n",
       "      <td>1264000.0</td>\n",
       "      <td>593.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>VJ634</td>\n",
       "      <td>2024-03-17 19:25:00</td>\n",
       "      <td>2024-03-17 20:45:00</td>\n",
       "      <td>Airbus A321</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>2034000.0</td>\n",
       "      <td>1264000.0</td>\n",
       "      <td>593.0</td>\n",
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       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>VJ636</td>\n",
       "      <td>2024-03-17 20:15:00</td>\n",
       "      <td>2024-03-17 21:35:00</td>\n",
       "      <td>Airbus A321</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>2034000.0</td>\n",
       "      <td>1264000.0</td>\n",
       "      <td>593.0</td>\n",
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       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>VJ634</td>\n",
       "      <td>2024-03-18 19:25:00</td>\n",
       "      <td>2024-03-18 20:45:00</td>\n",
       "      <td>Airbus A321</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>2177000.0</td>\n",
       "      <td>1407000.0</td>\n",
       "      <td>593.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>VJ636</td>\n",
       "      <td>2024-03-18 20:15:00</td>\n",
       "      <td>2024-03-18 21:35:00</td>\n",
       "      <td>Airbus A320</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>2177000.0</td>\n",
       "      <td>1407000.0</td>\n",
       "      <td>593.0</td>\n",
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       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>VJ634</td>\n",
       "      <td>2024-03-19 19:25:00</td>\n",
       "      <td>2024-03-19 20:45:00</td>\n",
       "      <td>Airbus A321</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>2177000.0</td>\n",
       "      <td>1407000.0</td>\n",
       "      <td>593.0</td>\n",
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       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>VJ636</td>\n",
       "      <td>2024-03-19 20:15:00</td>\n",
       "      <td>2024-03-19 21:35:00</td>\n",
       "      <td>Airbus A320</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>2177000.0</td>\n",
       "      <td>1407000.0</td>\n",
       "      <td>593.0</td>\n",
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      ],
      "text/plain": [
       "   Số hiệu chuyến bay           Khởi hành                 Đến       Airbus  \\\n",
       "1               VJ640 2024-03-08 22:35:00 2024-03-08 23:50:00  Airbus A321   \n",
       "8               VJ640 2024-03-09 22:35:00 2024-03-09 23:50:00  Airbus A321   \n",
       "15              VJ640 2024-03-10 22:35:00 2024-03-10 23:55:00  Airbus A321   \n",
       "21              VJ636 2024-03-11 20:15:00 2024-03-11 21:35:00  Airbus A320   \n",
       "26              VJ634 2024-03-12 19:25:00 2024-03-12 20:45:00  Airbus A321   \n",
       "27              VJ636 2024-03-12 20:15:00 2024-03-12 21:35:00  Airbus A321   \n",
       "31              VJ634 2024-03-13 19:25:00 2024-03-13 20:45:00  Airbus A321   \n",
       "32              VJ636 2024-03-13 20:15:00 2024-03-13 21:35:00  Airbus A320   \n",
       "33              VJ622 2024-03-14 07:25:00 2024-03-14 08:45:00  Airbus A320   \n",
       "35              VJ630 2024-03-14 14:40:00 2024-03-14 16:00:00  Airbus A321   \n",
       "36              VJ632 2024-03-14 17:20:00 2024-03-14 18:35:00  Airbus A320   \n",
       "37              VJ634 2024-03-14 19:25:00 2024-03-14 20:45:00  Airbus A320   \n",
       "38              VJ636 2024-03-14 20:15:00 2024-03-14 21:35:00  Airbus A321   \n",
       "44              VJ636 2024-03-15 21:10:00 2024-03-15 22:30:00  Airbus A320   \n",
       "49              VJ634 2024-03-16 19:25:00 2024-03-16 20:45:00  Airbus A321   \n",
       "54              VJ634 2024-03-17 19:25:00 2024-03-17 20:45:00  Airbus A321   \n",
       "55              VJ636 2024-03-17 20:15:00 2024-03-17 21:35:00  Airbus A321   \n",
       "60              VJ634 2024-03-18 19:25:00 2024-03-18 20:45:00  Airbus A321   \n",
       "61              VJ636 2024-03-18 20:15:00 2024-03-18 21:35:00  Airbus A320   \n",
       "66              VJ634 2024-03-19 19:25:00 2024-03-19 20:45:00  Airbus A321   \n",
       "67              VJ636 2024-03-19 20:15:00 2024-03-19 21:35:00  Airbus A320   \n",
       "\n",
       "    SkyBOSS_Business    SkyBOSS     Deluxe        Eco  Thuế_phí  \n",
       "1                NaN  3992000.0  2947000.0  2177000.0     593.0  \n",
       "8                NaN  3992000.0  2034000.0  1264000.0     593.0  \n",
       "15               NaN  3992000.0  2034000.0  1264000.0     593.0  \n",
       "21               NaN  3992000.0  2034000.0  1264000.0     593.0  \n",
       "26               NaN  3992000.0  2034000.0  1264000.0     593.0  \n",
       "27               NaN  3992000.0  2034000.0  1264000.0     593.0  \n",
       "31               NaN  3992000.0  2034000.0  1264000.0     593.0  \n",
       "32               NaN  3992000.0  2034000.0  1264000.0     593.0  \n",
       "33               NaN  3992000.0  2463000.0  1693000.0     593.0  \n",
       "35               NaN  3992000.0  2463000.0  1693000.0     593.0  \n",
       "36               NaN  3992000.0  2463000.0  1693000.0     593.0  \n",
       "37               NaN  3992000.0  2463000.0  1693000.0     593.0  \n",
       "38               NaN  3992000.0  2463000.0  1693000.0     593.0  \n",
       "44               NaN  3992000.0  2463000.0  1693000.0     593.0  \n",
       "49               NaN  3992000.0  2034000.0  1264000.0     593.0  \n",
       "54               NaN  3992000.0  2034000.0  1264000.0     593.0  \n",
       "55               NaN  3992000.0  2034000.0  1264000.0     593.0  \n",
       "60               NaN  3992000.0  2177000.0  1407000.0     593.0  \n",
       "61               NaN  3992000.0  2177000.0  1407000.0     593.0  \n",
       "66               NaN  3992000.0  2177000.0  1407000.0     593.0  \n",
       "67               NaN  3992000.0  2177000.0  1407000.0     593.0  "
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       "      <th>Số hiệu chuyến bay</th>\n",
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       "      <th>1</th>\n",
       "      <td>VJ640</td>\n",
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       "      <th>8</th>\n",
       "      <td>VJ640</td>\n",
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       "      <td>2024-03-09 23:50:00</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>2034000.0</td>\n",
       "      <td>1264000.0</td>\n",
       "      <td>593.0</td>\n",
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       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>VJ640</td>\n",
       "      <td>2024-03-10 22:35:00</td>\n",
       "      <td>2024-03-10 23:55:00</td>\n",
       "      <td>Airbus A321</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>2034000.0</td>\n",
       "      <td>1264000.0</td>\n",
       "      <td>593.0</td>\n",
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       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>VJ636</td>\n",
       "      <td>2024-03-11 20:15:00</td>\n",
       "      <td>2024-03-11 21:35:00</td>\n",
       "      <td>Airbus A320</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>2034000.0</td>\n",
       "      <td>1264000.0</td>\n",
       "      <td>593.0</td>\n",
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       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>VJ634</td>\n",
       "      <td>2024-03-12 19:25:00</td>\n",
       "      <td>2024-03-12 20:45:00</td>\n",
       "      <td>Airbus A321</td>\n",
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       "      <td>3992000.0</td>\n",
       "      <td>2034000.0</td>\n",
       "      <td>1264000.0</td>\n",
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       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>VJ636</td>\n",
       "      <td>2024-03-12 20:15:00</td>\n",
       "      <td>2024-03-12 21:35:00</td>\n",
       "      <td>Airbus A321</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>2034000.0</td>\n",
       "      <td>1264000.0</td>\n",
       "      <td>593.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>VJ634</td>\n",
       "      <td>2024-03-13 19:25:00</td>\n",
       "      <td>2024-03-13 20:45:00</td>\n",
       "      <td>Airbus A321</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>2034000.0</td>\n",
       "      <td>1264000.0</td>\n",
       "      <td>593.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>VJ636</td>\n",
       "      <td>2024-03-13 20:15:00</td>\n",
       "      <td>2024-03-13 21:35:00</td>\n",
       "      <td>Airbus A320</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>2034000.0</td>\n",
       "      <td>1264000.0</td>\n",
       "      <td>593.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>VJ622</td>\n",
       "      <td>2024-03-14 07:25:00</td>\n",
       "      <td>2024-03-14 08:45:00</td>\n",
       "      <td>Airbus A320</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>2463000.0</td>\n",
       "      <td>1693000.0</td>\n",
       "      <td>593.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>VJ630</td>\n",
       "      <td>2024-03-14 14:40:00</td>\n",
       "      <td>2024-03-14 16:00:00</td>\n",
       "      <td>Airbus A321</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>2463000.0</td>\n",
       "      <td>1693000.0</td>\n",
       "      <td>593.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>VJ632</td>\n",
       "      <td>2024-03-14 17:20:00</td>\n",
       "      <td>2024-03-14 18:35:00</td>\n",
       "      <td>Airbus A320</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>2463000.0</td>\n",
       "      <td>1693000.0</td>\n",
       "      <td>593.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>VJ634</td>\n",
       "      <td>2024-03-14 19:25:00</td>\n",
       "      <td>2024-03-14 20:45:00</td>\n",
       "      <td>Airbus A320</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>2463000.0</td>\n",
       "      <td>1693000.0</td>\n",
       "      <td>593.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>VJ636</td>\n",
       "      <td>2024-03-14 20:15:00</td>\n",
       "      <td>2024-03-14 21:35:00</td>\n",
       "      <td>Airbus A321</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>2463000.0</td>\n",
       "      <td>1693000.0</td>\n",
       "      <td>593.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>VJ636</td>\n",
       "      <td>2024-03-15 21:10:00</td>\n",
       "      <td>2024-03-15 22:30:00</td>\n",
       "      <td>Airbus A320</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>2463000.0</td>\n",
       "      <td>1693000.0</td>\n",
       "      <td>593.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>VJ634</td>\n",
       "      <td>2024-03-16 19:25:00</td>\n",
       "      <td>2024-03-16 20:45:00</td>\n",
       "      <td>Airbus A321</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>2034000.0</td>\n",
       "      <td>1264000.0</td>\n",
       "      <td>593.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>VJ634</td>\n",
       "      <td>2024-03-17 19:25:00</td>\n",
       "      <td>2024-03-17 20:45:00</td>\n",
       "      <td>Airbus A321</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>2034000.0</td>\n",
       "      <td>1264000.0</td>\n",
       "      <td>593.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>VJ636</td>\n",
       "      <td>2024-03-17 20:15:00</td>\n",
       "      <td>2024-03-17 21:35:00</td>\n",
       "      <td>Airbus A321</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>2034000.0</td>\n",
       "      <td>1264000.0</td>\n",
       "      <td>593.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>VJ634</td>\n",
       "      <td>2024-03-18 19:25:00</td>\n",
       "      <td>2024-03-18 20:45:00</td>\n",
       "      <td>Airbus A321</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>2177000.0</td>\n",
       "      <td>1407000.0</td>\n",
       "      <td>593.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>VJ636</td>\n",
       "      <td>2024-03-18 20:15:00</td>\n",
       "      <td>2024-03-18 21:35:00</td>\n",
       "      <td>Airbus A320</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>2177000.0</td>\n",
       "      <td>1407000.0</td>\n",
       "      <td>593.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>VJ634</td>\n",
       "      <td>2024-03-19 19:25:00</td>\n",
       "      <td>2024-03-19 20:45:00</td>\n",
       "      <td>Airbus A321</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>2177000.0</td>\n",
       "      <td>1407000.0</td>\n",
       "      <td>593.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>VJ636</td>\n",
       "      <td>2024-03-19 20:15:00</td>\n",
       "      <td>2024-03-19 21:35:00</td>\n",
       "      <td>Airbus A320</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3992000.0</td>\n",
       "      <td>2177000.0</td>\n",
       "      <td>1407000.0</td>\n",
       "      <td>593.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Số hiệu chuyến bay           Khởi hành                 Đến       Airbus  \\\n",
       "1               VJ640 2024-03-08 22:35:00 2024-03-08 23:50:00  Airbus A321   \n",
       "8               VJ640 2024-03-09 22:35:00 2024-03-09 23:50:00  Airbus A321   \n",
       "15              VJ640 2024-03-10 22:35:00 2024-03-10 23:55:00  Airbus A321   \n",
       "21              VJ636 2024-03-11 20:15:00 2024-03-11 21:35:00  Airbus A320   \n",
       "26              VJ634 2024-03-12 19:25:00 2024-03-12 20:45:00  Airbus A321   \n",
       "27              VJ636 2024-03-12 20:15:00 2024-03-12 21:35:00  Airbus A321   \n",
       "31              VJ634 2024-03-13 19:25:00 2024-03-13 20:45:00  Airbus A321   \n",
       "32              VJ636 2024-03-13 20:15:00 2024-03-13 21:35:00  Airbus A320   \n",
       "33              VJ622 2024-03-14 07:25:00 2024-03-14 08:45:00  Airbus A320   \n",
       "35              VJ630 2024-03-14 14:40:00 2024-03-14 16:00:00  Airbus A321   \n",
       "36              VJ632 2024-03-14 17:20:00 2024-03-14 18:35:00  Airbus A320   \n",
       "37              VJ634 2024-03-14 19:25:00 2024-03-14 20:45:00  Airbus A320   \n",
       "38              VJ636 2024-03-14 20:15:00 2024-03-14 21:35:00  Airbus A321   \n",
       "44              VJ636 2024-03-15 21:10:00 2024-03-15 22:30:00  Airbus A320   \n",
       "49              VJ634 2024-03-16 19:25:00 2024-03-16 20:45:00  Airbus A321   \n",
       "54              VJ634 2024-03-17 19:25:00 2024-03-17 20:45:00  Airbus A321   \n",
       "55              VJ636 2024-03-17 20:15:00 2024-03-17 21:35:00  Airbus A321   \n",
       "60              VJ634 2024-03-18 19:25:00 2024-03-18 20:45:00  Airbus A321   \n",
       "61              VJ636 2024-03-18 20:15:00 2024-03-18 21:35:00  Airbus A320   \n",
       "66              VJ634 2024-03-19 19:25:00 2024-03-19 20:45:00  Airbus A321   \n",
       "67              VJ636 2024-03-19 20:15:00 2024-03-19 21:35:00  Airbus A320   \n",
       "\n",
       "    SkyBOSS_Business    SkyBOSS     Deluxe        Eco  Thuế_phí  \n",
       "1                NaN  3992000.0  2947000.0  2177000.0     593.0  \n",
       "8                NaN  3992000.0  2034000.0  1264000.0     593.0  \n",
       "15               NaN  3992000.0  2034000.0  1264000.0     593.0  \n",
       "21               NaN  3992000.0  2034000.0  1264000.0     593.0  \n",
       "26               NaN  3992000.0  2034000.0  1264000.0     593.0  \n",
       "27               NaN  3992000.0  2034000.0  1264000.0     593.0  \n",
       "31               NaN  3992000.0  2034000.0  1264000.0     593.0  \n",
       "32               NaN  3992000.0  2034000.0  1264000.0     593.0  \n",
       "33               NaN  3992000.0  2463000.0  1693000.0     593.0  \n",
       "35               NaN  3992000.0  2463000.0  1693000.0     593.0  \n",
       "36               NaN  3992000.0  2463000.0  1693000.0     593.0  \n",
       "37               NaN  3992000.0  2463000.0  1693000.0     593.0  \n",
       "38               NaN  3992000.0  2463000.0  1693000.0     593.0  \n",
       "44               NaN  3992000.0  2463000.0  1693000.0     593.0  \n",
       "49               NaN  3992000.0  2034000.0  1264000.0     593.0  \n",
       "54               NaN  3992000.0  2034000.0  1264000.0     593.0  \n",
       "55               NaN  3992000.0  2034000.0  1264000.0     593.0  \n",
       "60               NaN  3992000.0  2177000.0  1407000.0     593.0  \n",
       "61               NaN  3992000.0  2177000.0  1407000.0     593.0  \n",
       "66               NaN  3992000.0  2177000.0  1407000.0     593.0  \n",
       "67               NaN  3992000.0  2177000.0  1407000.0     593.0  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def min_price_date(class_):\n",
    "    choose = flight['Khởi hành'].dt.strftime('%d/%m')\n",
    "    mask = flight.groupby(choose)[class_].transform('min') == flight[class_]\n",
    "    return flight[mask].sort_values(by='Khởi hành')\n",
    "\n",
    "display(min_price_date('SkyBOSS'))\n",
    "display(min_price_date('Deluxe'))\n",
    "display(min_price_date('Eco'))"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### **Trực quan hoá dữ liệu**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def plot_price(class_):\n",
    "    min_df = min_price_date(class_)\n",
    "    min_df['date'] = min_df['Khởi hành'].dt.strftime('%d/%m')\n",
    "    plt.plot(min_df['date'], min_df[class_])\n",
    "    plt.title('Giá vé máy bay nhỏ nhất của từng ngày')\n",
    "    plt.xlabel('Ngày')\n",
    "    plt.ylabel('Giá')\n",
    "\n",
    "plot_price('SkyBOSS')\n",
    "plot_price('Deluxe')\n",
    "plot_price('Eco')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "flight[ticket_class[1:]].set_index(flight['Khởi hành'].dt.strftime('%d/%m')).plot()\n",
    "plt.title('Giá vé máy bay theo các ngày')\n",
    "plt.xlabel('Ngày')\n",
    "plt.ylabel('Giá')\n",
    "plt.savefig(path + '/giave.png')"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3.10.6 64-bit",
   "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": "3.11.5"
  },
  "orig_nbformat": 4,
  "vscode": {
   "interpreter": {
    "hash": "a42ccb73e7d9bfdf27e036f1d2b8b681e55fc0743cc5586bc2474d4a60f4b886"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}