Python 获取特定值BeautifulSoup（解析）

我正试图从网站上提取信息

使用Python（BeautifulSoup）

我想提取以下数据（仅数字）

EPS（基本版）

发件人：

从xml中：

我建立了以下代码：

import pandas as pd
from bs4 import BeautifulSoup
import urllib.request as ur
import request 

url_is = 'https://www.marketwatch.com/investing/stock/aapl/financials/income/quarter'


read_data = ur.urlopen(url_is).read()
soup_is=BeautifulSoup(read_data, 'lxml')
cells = soup_is.findAll('tr', {'class': 'mainRow'} )
for cell in cells:
  print(cell.text)

但我不打算提取每股收益（基本）的数字

---

有没有办法只提取数据并按列排序？

尝试下面的

css

选择器，检查td标记包含

EPS（Basic）

文本

import urllib.request as ur

url_is = 'https://www.marketwatch.com/investing/stock/aapl/financials/income/quarter'
read_data = ur.urlopen(url_is).read()
soup_is=BeautifulSoup(read_data, 'lxml')
row = soup_is.select_one('tr.mainRow>td.rowTitle:contains("EPS (Basic)")')
print([cell.text for cell in row.parent.select('td') if cell.text!=''])

输出：

[' EPS (Basic)', '2.47', '2.20', '3.05', '5.04', '2.58']

              0     1     2     3     4     5
0   EPS (Basic)  2.47  2.20  3.05  5.04  2.58

---

用DF打印

import pandas as pd
from bs4 import BeautifulSoup
import urllib.request as ur

url_is = 'https://www.marketwatch.com/investing/stock/aapl/financials/income/quarter'
read_data = ur.urlopen(url_is).read()
soup_is=BeautifulSoup(read_data, 'lxml')
row = soup_is.select_one('tr.mainRow>td.rowTitle:contains("EPS (Basic)")')
data=[cell.text for cell in row.parent.select('td') if cell.text!='']
df=pd.DataFrame(data)
print(df.T)

输出：

[' EPS (Basic)', '2.47', '2.20', '3.05', '5.04', '2.58']

              0     1     2     3     4     5
0   EPS (Basic)  2.47  2.20  3.05  5.04  2.58