在下面的html中,我需要按顺序阅读所有文本,并为每个span类组合单独的句子。
<label for="01">"The traveler, with his powerful "
<span class ="Wizard">"Storm"</span>
<span class ="Warrior">"Whirlwind"</span>
<span class ="Monk">"Prayer"</span>", took down the dark forces of evil. The "
<span class ="Wizard">"wizard"</span>
<span class ="Warrior">"warrior"</span>
<span class ="Monk">"monk"</span>" was exhausted afterwards and needed to take a rest."
</label>
在这种情况下,应该有3个单独的句子,并在列表列表中包含相应的类-因此输出应如下所示:
[['Wizard', 'The traveler, with his powerful Storm, took down the dark forces of evil. The wizard was exhausted afterwards and needed to take a rest.']
['Warrior', 'The traveler, with his powerful Whirlwind, took down the dark forces of evil. The warrior was exhausted afterwards and needed to take a rest.']
['Monk', 'The traveler, with his powerful Prayer, took down the dark forces of evil. The monk was exhausted afterwards and needed to take a rest.']]
我不知道该如何处理,并且在网上找不到任何内容-可能是因为我不确定如何提出我的问题(如果您有建议如何更好地提出我的问题,请留下发表评论,我会的。)
提前谢谢!
编辑:我尝试使用find(text=True)
和find_all(text=True)
,但是我不知道该怎么做。
答案 0 :(得分:0)
您可以使用itertools.groupby
import bs4
from bs4 import BeautifulSoup as soup
from itertools import groupby
d = [(a, list(b)) for a, b in groupby(list(filter(lambda x:x != '\n', soup(content, 'html.parser').label.contents)), key=lambda x:isinstance(x, bs4.element.NavigableString))]
users, _text = list(zip(*[b for a, b in d if not a])), [b for a, b in d if a]
result = [[a[0]['class'][0], (lambda x:''.join(f'{j[1:-1]} {next(x).text[1:-1]}' if l < len(_text) - 1 else j[1:-2] for l, [j] in enumerate(_text)))(iter(a))] for a in users]
输出中还有其他\n
个字符,您可以使用re
删除它们:
import re
final_result = [[a, re.sub('"\n\s+', '', b)] for a, b in result]
输出:
[['Wizard', 'The traveler, with his powerful Storm, took down the dark forces of evil. The wizard was exhausted afterwards and needed to take a rest.'],
['Warrior', 'The traveler, with his powerful Whirlwind, took down the dark forces of evil. The warrior was exhausted afterwards and needed to take a rest.'],
['Monk', 'The traveler, with his powerful Prayer, took down the dark forces of evil. The monk was exhausted afterwards and needed to take a rest.']]