如何使用美丽的汤找到所有刮只名单，这是身体的一部分

Question

我很难用“靓汤”将这个维基百科列表与洛杉矶的邻居们一块儿删除。我得到了身体的所有内容，而不仅仅是我想要的邻里名单。我看到了很多关于如何刮表的内容，但是我在如何在这种情况下应用表逻辑方面被绊住了。 这是我一直在使用的代码：

import BeautifulSoup

address = 'Los Angeles, United States'

url = "https://en.wikipedia.org/wiki/List_of_districts_and_neighborhoods_of_Los_Angeles"

source = requests.get(url).text

soup = BeautifulSoup(source,'lxml')

neighborhoodList = []

-- append the data into the list

for row in soup.find_all("div", class_="mw-body")[0].findAll("li"):

   neighborhoodList.append(row.text.replace(', LA',''))

df_neighborhood = pd.DataFrame({"Neighborhood": neighborhoodList})

Answer 1

如果查看页面源，则邻域条目位于具有“div col”类的div中，并且链接包含“title”属性

此外，在追加过程中，似乎不需要替换文本

以下代码：

import requests
from bs4 import BeautifulSoup
import pandas as pd

address = 'Los Angeles, United States'
url = "https://en.wikipedia.org/wiki/List_of_districts_and_neighborhoods_of_Los_Angeles"
source = requests.get(url).text
soup = BeautifulSoup(source, 'lxml')
neighborhoodList = []

#   append the data into the list

links = []
for row in soup.find_all("div", class_="div-col"):
    for item in row.select("a"):
        if item.has_attr('title'):
            neighborhoodList.append(item.text)

df_neighborhood = pd.DataFrame({"Neighborhood": neighborhoodList})

print(f'First 10 Rows:')
print(df_neighborhood.head(n=10))
print(f'\nLast 10 Rows:')
print(df_neighborhood.tail(n=10))

结果:

First 10 Rows:
             Neighborhood
0        Angelino Heights
1                  Arleta
2       Arlington Heights
3           Arts District
4         Atwater Village
5           Baldwin Hills
6  Baldwin Hills/Crenshaw
7         Baldwin Village
8           Baldwin Vista
9        Beachwood Canyon

Last 10 Rows:
           Neighborhood
186    Westwood Village
187     Whitley Heights
188  Wholesale District
189          Wilmington
190     Wilshire Center
191       Wilshire Park
192      Windsor Square
193            Winnetka
194      Woodland Hills
195      Yucca Corridor