这是我的html代码,现在我想要使用漂亮的汤来提取下面的html代码数据
<tr class="tr-option">
<td class="td-option"><a href="">A.</a></td>
<td class="td-option">120 m</td>
<td class="td-option"><a href="">B.</a></td>
<td class="td-option">240 m</td>
<td class="td-option"><a href="">C.</a></td>
<td class="td-option" >300 m</td>
<td class="td-option"><a href="">D.</a></td>
<td class="td-option" >None of these</td>
</tr>
这是我美丽的汤代码
soup = BeautifulSoup(html_doc)
for option in soup.find_all('td', attrs={'class':"td-option"}):
print option.text
上述代码的输出:
A.
120 m
B.
240 m
C.
300 m
D.
None of these
但我想要关注输出
A.120 m
B.240 m
C.300 m
D.None of these
我该怎么办?
答案 0 :(得分:2)
由于find_all
会返回一个选项列表,您可以使用列表推导来获得您期望的答案
>>> a_list = [ option.text for option in soup.find_all('td', attrs={'class':"td-option"}) ]
>>> new_list = [ a_list[i] + a_list[i+1] for i in range(0,len(a_list),2) ]
>>> for option in new_list:
... print option
...
A.120 m
B.240 m
C.300 m
D.None of these
它的作用是什么?
[ a_list[i] + a_list[i+1] for i in range(0,len(a_list),2) ]
从a_list
获取相邻元素并附加它们。 答案 1 :(得分:0)
soup = BeautifulSoup(html_doc)
options = soup.find_all('td', attrs={'class': "td-option"})
texts = [o.text for o in options]
lines = []
# Add every two-element pair as a concatenated item
for a, b in zip(texts[0::2], texts[1::2]):
lines.append(a + b)
for l in lines:
print(l)
给予
A.120 m
B.240 m
C.300 m
D.None of these