如何使用 BeautifulSoup 成对提取表格数据? [英] How do I extract table data in pairs using BeautifulSoup?

问题描述

我的数据样本:

<table id = "history">
<tr class = "printCol">
<td class="name">Google</td><td class="date">07/11/2001</td><td class="state">
<span>CA</span>
</td>
</tr>
<tr class = "printCol">
<td class="name">Apple</td><td class="date">27/08/2001</td>
</tr>
<tr class = "printCol">
<td class="name">Microsoft</td><td class="date">01/11/1991</td>
</tr>
</table>

Beautifulsoup 代码:

Beautifulsoup code :

table = soup.find("table", id = "history")

rows = table.findAll('tr')
for tr in rows:
    cols = tr.findAll('td')
    for td in cols:
        print td.find(text=True)

MySQL 存储所需的输出(列表):

Desired Output for MySQL storage (list):

['Google|07/11/2001|CA', 'Apple|27/08/2001', 'Microsoft|01/11/1991']

我的输出(很难将正确的日期与正确的公司联系起来):

Output I have (difficult to associate the right date to the right company) :

Google
07/11/2001


Apple
27/08/2001
Microsoft
01/11/1991

我编写了一个函数来从每个 tr 中提取元素，但我认为在原始 for 循环中有更有效的方法来完成所有操作.我想将它们作为数据对存储在列表中.想法?

I wrote a function to extract elements from each tr but I thought there is a much more efficient way of doing it all in the original for loop. I want to store them in a list as data pairs. Thoughts?

推荐答案

列表理解会更容易:

table = soup.find("table", id = "history")
rows = table.findAll('tr')
data = [[td.findChildren(text=True) for td in tr.findAll("td")] for tr in rows]
# data now contains:
[[u'Google', u'07/11/2001'],
 [u'Apple', u'27/08/2001'],
 [u'Microsoft', u'01/11/1991']]

# If the data may contain extraneous whitespace you can clean it up
# Additional processing could also be done - but once you hit much more
# complex than this later maintainers, yourself included, will thank you
# for using a series of for loops that call clearly named functions to perform
# the work.
data = [[u"".join(d).strip() for d in l] for l in data]

# If you want to store it joined as name | company
# then simply follow that up with:
data = [u"|".join(d) for d in data]

列表推导式基本上是一个带有聚合的反向for循环:

The list comprehension is basically a reverse for loop with aggregation:

[[td.findNext(text=True) for td in tr.findAll("td")] for tr in rows]

翻译成^*:

final_list = []
intermediate_list = []

for tr in rows:
    for td in tr.findAll("td")
        intermediate_list.append(td.findNext(text=True))

    final_list.append(intermediate_list)
    intermediate_list = []

data = final_list

^* 粗略地说 - 我们忽略了涉及生成器的很棒不构建中间列表，因为我现在无法添加生成器把例子弄乱了.

^* Roughly - we are leaving out the awesomeness involving generators not building intermediate lists, since I can't add generators right now without cluttering the example.

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