<p>如果您只想提取这些数据,您可以压缩两个匹配的列表,然后在循环中提取。我将研究是否可以使用完整的html删除<code>.left</code>类选择器。你知道吗</p>
<pre><code>from bs4 import BeautifulSoup as bs
html = '''
<html>
<head></head>
<body>
<table>
<tbody>
<tr>
<th aria-label="Personal Fouls Per Game" class=" poptip hide_non_quals center" data-stat="pf_per_g" data-tip="Personal Fouls Per Game" scope="col">PF</th>
<th aria-label="Points Per Game" class=" poptip hide_non_quals center" data-stat="pts_per_g" data-tip="Points Per Game" scope="col">PTS</th>
</tr>
<tr class="full_table">
<th class="right " csk="1" data-stat="ranker" scope="row">1</th>
<td class="left " csk="Abrines,Álex" data-append-csv="abrinal01" data-stat="player"><a href="/players/a/abrinal01.html">Álex Abrines</a></td>
<td class="center " data-stat="pos">SG</td>
<td class="right " data-stat="age">25</td>
<td class="left " data-stat="team_id"><a href="/teams/OKC/2019.html">OKC</a></td>
<td class="right " data-stat="g">31</td>
<td class="right " data-stat="gs">2</td>
<td class="right non_qual" data-stat="mp_per_g">19.0</td>
<td class="right non_qual" data-stat="fg_per_g">1.8</td>
<td class="right non_qual" data-stat="fga_per_g">5.1</td>
<td class="right non_qual" data-stat="fg_pct">.357</td>
<td class="right non_qual" data-stat="fg3_per_g">1.3</td>
<td class="right non_qual" data-stat="fg3a_per_g">4.1</td>
<td class="right non_qual" data-stat="fg3_pct">.323</td>
<td class="right non_qual" data-stat="fg2_per_g">0.5</td>
<td class="right non_qual" data-stat="fg2a_per_g">1.0</td>
<td class="right non_qual" data-stat="fg2_pct">.500</td>
<td class="right non_qual" data-stat="efg_pct">.487</td>
<td class="right non_qual" data-stat="ft_per_g">0.4</td>
<td class="right non_qual" data-stat="fta_per_g">0.4</td>
<td class="right non_qual" data-stat="ft_pct">.923</td>
<td class="right non_qual" data-stat="orb_per_g">0.2</td>
<td class="right non_qual" data-stat="drb_per_g">1.4</td>
<td class="right non_qual" data-stat="trb_per_g">1.5</td>
<td class="right non_qual" data-stat="ast_per_g">0.6</td>
<td class="right non_qual" data-stat="stl_per_g">0.5</td>
<td class="right non_qual" data-stat="blk_per_g">0.2</td>
<td class="right non_qual" data-stat="tov_per_g">0.5</td>
<td class="right non_qual" data-stat="pf_per_g">1.7</td>
<td class="right non_qual" data-stat="pts_per_g">5.3</td>
</tr>
<tr class="full_table">
<th class="right " csk="2" data-stat="ranker" scope="row">2</th>
<td class="left " csk="Acy,Quincy" data-append-csv="acyqu01" data-stat="player"><a href="/players/a/acyqu01.html">Quincy Acy</a></td>
<td class="center " data-stat="pos">PF</td>
<td class="right " data-stat="age">28</td>
<td class="left " data-stat="team_id"><a href="/teams/PHO/2019.html">PHO</a></td>
<td class="right " data-stat="g">10</td>
<td class="right iz" data-stat="gs">0</td>
<td class="right non_qual" data-stat="mp_per_g">12.3</td>
<td class="right non_qual" data-stat="fg_per_g">0.4</td>
<td class="right non_qual" data-stat="fga_per_g">1.8</td>
<td class="right non_qual" data-stat="fg_pct">.222</td>
<td class="right non_qual" data-stat="fg3_per_g">0.2</td>
<td class="right non_qual" data-stat="fg3a_per_g">1.5</td>
<td class="right non_qual" data-stat="fg3_pct">.133</td>
<td class="right non_qual" data-stat="fg2_per_g">0.2</td>
<td class="right non_qual" data-stat="fg2a_per_g">0.3</td>
<td class="right non_qual" data-stat="fg2_pct">.667</td>
<td class="right non_qual" data-stat="efg_pct">.278</td>
<td class="right non_qual" data-stat="ft_per_g">0.7</td>
<td class="right non_qual" data-stat="fta_per_g">1.0</td>
<td class="right non_qual" data-stat="ft_pct">.700</td>
<td class="right non_qual" data-stat="orb_per_g">0.3</td>
<td class="right non_qual" data-stat="drb_per_g">2.2</td>
<td class="right non_qual" data-stat="trb_per_g">2.5</td>
<td class="right non_qual" data-stat="ast_per_g">0.8</td>
<td class="right non_qual" data-stat="stl_per_g">0.1</td>
<td class="right non_qual" data-stat="blk_per_g">0.4</td>
<td class="right non_qual" data-stat="tov_per_g">0.4</td>
<td class="right non_qual" data-stat="pf_per_g">2.4</td>
<td class="right non_qual" data-stat="pts_per_g">1.7</td>
</tr>
<tr class="full_table">
<th class="right " csk="3" data-stat="ranker" scope="row">3</th>
<td class="left " csk="Adams,Jaylen" data-append-csv="adamsja01" data-stat="player"><a href="/players/a/adamsja01.html">Jaylen Adams</a></td>
<td class="center " data-stat="pos">PG</td>
<td class="right " data-stat="age">22</td>
<td class="left " data-stat="team_id"><a href="/teams/ATL/2019.html">ATL</a></td>
<td class="right " data-stat="g">34</td>
<td class="right " data-stat="gs">1</td>
<td class="right non_qual" data-stat="mp_per_g">12.6</td>
<td class="right non_qual" data-stat="fg_per_g">1.1</td>
<td class="right non_qual" data-stat="fga_per_g">3.2</td>
<td class="right non_qual" data-stat="fg_pct">.345</td>
<td class="right non_qual" data-stat="fg3_per_g">0.7</td>
<td class="right non_qual" data-stat="fg3a_per_g">2.2</td>
<td class="right non_qual" data-stat="fg3_pct">.338</td>
<td class="right non_qual" data-stat="fg2_per_g">0.4</td>
<td class="right non_qual" data-stat="fg2a_per_g">1.1</td>
<td class="right non_qual" data-stat="fg2_pct">.361</td>
<td class="right non_qual" data-stat="efg_pct">.459</td>
<td class="right non_qual" data-stat="ft_per_g">0.2</td>
<td class="right non_qual" data-stat="fta_per_g">0.3</td>
<td class="right non_qual" data-stat="ft_pct">.778</td>
<td class="right non_qual" data-stat="orb_per_g">0.3</td>
<td class="right non_qual" data-stat="drb_per_g">1.4</td>
<td class="right non_qual" data-stat="trb_per_g">1.8</td>
<td class="right non_qual" data-stat="ast_per_g">1.9</td>
<td class="right non_qual" data-stat="stl_per_g">0.4</td>
<td class="right non_qual" data-stat="blk_per_g">0.1</td>
<td class="right non_qual" data-stat="tov_per_g">0.8</td>
<td class="right non_qual" data-stat="pf_per_g">1.3</td>
<td class="right non_qual" data-stat="pts_per_g">3.2</td>
</tr>
</tbody>
</table>
</body>
</html>
'''
soup = bs(html, 'lxml')
for name, link in zip(soup.select('[data-append-csv].left'),soup.select('[data-append-csv].left a')): #you may wish to add td in
print(name['data-append-csv'], link['href'])
</code></pre>