python - BeautifulSoup:如何解析表中未标识的 TD 列表

Question

使用 bs4，我可以使用 soup.find_all() 查找表中的每个 s。 HTML 如下。

但是，如何有效地访问每个中的特定列？假设我只想要第一、第三和第五列。

换句话说，有没有办法实现类似于“date = row.td[1]”或“price_low = row.td[3]”等的内容？

谢谢。

<tr class="cmc-table-row" style="display:table-row">
    <td class="cmc-table__cell cmc-table__cell--sticky cmc-table__cell--left">
        <div class="">Dec 23, 2019</div>
    </td>
    <td class="cmc-table__cell cmc-table__cell--right">
        <div class="">7,508.90</div>
    </td>
    <td class="cmc-table__cell cmc-table__cell--right">
        <div class="">7,656.18</div>
    </td>
    <td class="cmc-table__cell cmc-table__cell--right">
        <div class="">7,326.19</div>
    </td>
    <td class="cmc-table__cell cmc-table__cell--right">
        <div class="">7,355.63</div>
    </td>
    <td class="cmc-table__cell cmc-table__cell--right">
        <div class="">27,831,788,041</div>
    </td>
    <td class="cmc-table__cell cmc-table__cell--right">
        <div class="">133,275,709,111</div>
    </td>
</tr>

Answer 1

from bs4 import BeautifulSoup

html = """<tr class="cmc-table-row" style="display:table-row">
    <td class="cmc-table__cell cmc-table__cell--sticky cmc-table__cell--left">
        <div class="">Dec 23, 2019</div>
    </td>
    <td class="cmc-table__cell cmc-table__cell--right">
        <div class="">7,508.90</div>
    </td>
    <td class="cmc-table__cell cmc-table__cell--right">
        <div class="">7,656.18</div>
    </td>
    <td class="cmc-table__cell cmc-table__cell--right">
        <div class="">7,326.19</div>
    </td>
    <td class="cmc-table__cell cmc-table__cell--right">
        <div class="">7,355.63</div>
    </td>
    <td class="cmc-table__cell cmc-table__cell--right">
        <div class="">27,831,788,041</div>
    </td>
    <td class="cmc-table__cell cmc-table__cell--right">
        <div class="">133,275,709,111</div>
    </td>
</tr>
"""

soup = BeautifulSoup(html, 'html.parser')

for item in soup.findAll("div", {'class': ''})[0:5:2]:
    print(item.text)

输出:

Dec 23, 2019
7,656.18
7,355.63