python-通过熊猫列表创建表

我有一段时间通过 Pandas 将我拥有的数据转换为数据框。我觉得这远非一项艰巨的任务，但我似乎无法弄清楚。我有我想要的数据框标题，我有数据，但这是来自网络的数据。我知道我需要把它变成一个列表，然后把它放到一个 DataFrame 函数中，但我不知道如何把这个东西放到一个列表中。

from selenium import webdriver
from selenium.webdriver.support.ui import Select
from selenium.webdriver.common.by import By
import time
from bs4 import BeautifulSoup
import pandas as pd


PATH = "C:\Program Files (x86)\Chrome\chromedriver_win32\chromedriver.exe"
driver = webdriver.Chrome(PATH)

driver.get("https://www.espn.com/golf/leaderboard?tournamentId=401353232")

number_of_players = 52
round_to_select = 3

for idx,down_arrow in enumerate(driver.find_elements(By.CSS_SELECTOR, '.Table__TD:first-child')):
    if idx < number_of_players:
        down_arrow.click()
        time.sleep(.5)
    else:
        break

if round_to_select < 4:
    for idx,menu in enumerate(driver.find_elements(By.CSS_SELECTOR, '.competitors select[class=dropdown__select]')):
        if idx < number_of_players:
            Select(menu).select_by_visible_text(f'Round {round_to_select}')
            time.sleep(.5)
        else:
            break

R1_page_source = driver.page_source

R1_soup = BeautifulSoup(R1_page_source, 'html.parser')

R1_leaderboard = R1_soup.find('table' , class_ = 'Table Table--align-right Full__Table')

for R1_player in R1_leaderboard.find_all('tbody'):
    R1_rows = R1_player.find_all('tr' , class_ = 'Table__TD--PlayerDetail Table__TR Table__even')
    for R1_row in R1_rows:
        R1_Tournament = R1_soup.find('h1' , class_ = 'headline headline__h1 Leaderboard__Event__Title').text
        R1_Course = R1_soup.find('div' , class_ = 'Leaderboard__Course__Location n8 clr-gray-04').text
        R1_Players = R1_row.find('a').text
        R1_Round = R1_row.find_all("select")[1].text
        R1_H1 = R1_row.find_all('span')[1].text
        R1_H2 = R1_row.find_all('span')[2].text
        R1_H3 = R1_row.find_all('span')[3].text
        R1_H4 = R1_row.find_all('span')[4].text
        R1_H5 = R1_row.find_all('span')[5].text
        R1_H6 = R1_row.find_all('span')[6].text
        R1_H7 = R1_row.find_all('span')[7].text
        R1_H8 = R1_row.find_all('span')[8].text
        R1_H9 = R1_row.find_all('span')[9].text
        R1_H10 = R1_row.find_all('span')[11].text
        R1_H11 = R1_row.find_all('span')[12].text
        R1_H12 = R1_row.find_all('span')[13].text
        R1_H13 = R1_row.find_all('span')[14].text
        R1_H14 = R1_row.find_all('span')[15].text
        R1_H15 = R1_row.find_all('span')[16].text
        R1_H16 = R1_row.find_all('span')[17].text
        R1_H17 = R1_row.find_all('span')[18].text
        R1_H18 = R1_row.find_all('span')[19].text
        print(R1_Players, R1_Tournament, R1_Course, R1_Round, R1_H1, R1_H2, R1_H3, R1_H4, R1_H5, R1_H6, R1_H7, R1_H8, R1_H9, R1_H10, R1_H11, R1_H12, R1_H13, R1_H14, R1_H15, R1_H16, R1_H17, R1_H18)