使用BeautifulSoup提取指定表格td标签文本的问题求助

背景 #

我正在用BeautifulSoup从一个AFL数据站点提取表格数据，该站点包含多个带唯一table id的表格。目前我已经通过以下代码成功定位到了目标表格：

from bs4 import BeautifulSoup
from selenium import webdriver

stat_dict = {
    'Disposals': 'sortableTable0',
    'Kicks': 'sortableTable1',
    'Marks': 'sortableTable2',
    'Handballs': 'sortableTable3',
    'Goals': 'sortableTable4',
    'Behinds': 'sortableTable5',
    'Hitouts': 'sortableTable6',
    'Tackles': 'sortableTable7',
    'Rebounds': 'sortableTable8',
    'Inside50s': 'sortableTable9',
    'Clearances': 'sortableTable10',
    'Clangers': 'sortableTable11',
    'FreesFor': 'sortableTable12',
    'FreesAgainst': 'sortableTable13',
    'ContestedPosessions': 'sortableTable14',
    'UncontestedPosesseions': 'sortableTable15',
    'ContestedMarks': 'sortableTable16',
    'MarksInside50': 'sortableTable17',
    'OnePercenters': 'sortableTable18',
    'Bounces': 'sortableTable19',
    'GoalAssists': 'sortableTable20',
    'Timeplayed': 'sortableTable21'
}

driver = webdriver.Firefox(executable_path='...')
url = "https://afltables.com/afl/stats/teams/adelaide/2018_gbg.html"
driver.get(url)
html = driver.page_source
soup = BeautifulSoup(html, "lxml")

stat_wanted = 'Disposals'
table = soup.find_all('table', {'id': stat_dict[stat_wanted]})

期望实现的功能 #

我希望实现和以下代码等效的功能——这段代码通过soup.find('tbody')可以正常运行，能把提取到的td文本整理成Pandas DataFrame：

import requests
import pandas as pd
import numpy as np
from bs4 import BeautifulSoup

def get_disposals(team_lower_case, nplayers, nrounds):
    list = []
    page = requests.get("https://afltables.com/afl/stats/teams/" + str(team_lower_case) + "/2018_gbg.html")
    soup = BeautifulSoup(page.content, 'html.parser')
    filter = soup.find('tbody')
    for var in filter.find_all('tr'):
        columns = var.find_all('td')
        for val in columns:
            list.append(val.get_text())
    columns = ['PlayerName']
    for n in range(1, nrounds+1):
        columns.append('R'+str(n))
    df = pd.DataFrame(np.array(list).reshape(nplayers, nrounds+1), columns=columns)
    return df

get_disposals("fremantle",30,8)

当前遇到的问题 #

当我尝试用下面的代码提取所有td标签的文本时，没有得到预期的纯文本结果：

for tr in table:
    zxc = tr.find_all('td')
    print(zxc)
    for var in zxc:
        list = []
        list.append(var.get_text())
        print(list)

运行这段代码后，输出的是标签及其内容的列表，而不是get_text()应该返回的纯文本内容。我需要帮忙解决这个问题，让代码能正确提取纯文本并整理成DataFrame。

内容的提问来源于stack exchange，提问作者Kamila Ambro