python 漂亮的汤桌？答案

【问题标题】：python beautiful soup table?python 漂亮的汤桌？
【发布时间】：2020-08-27 02:58:33
【问题描述】：

请问我如何在表格中捕捉这些值。我需要日期、时间、储备和播放值。每次我只得到整个表的完整列表时，我不知道如何捕获其中的给定值非常感谢您的帮助。

 <table class="list">
    <tr class="head">
        <th>Date</th>
        <th>Time</th>
        <th>Play</th>
        <th>Tickets</th>
        <th>&nbsp;</th>
    </tr>
    

        
        

            <tr class="t1">
                <th>Th
                    03. 09. 2020</th>
                <td>
                    19:00</td>
                <td>Racek</td>
                <td class="center">4</td>
                <td>
                    
                    
                        
                            <a href="/rezervace/detail?id=2618"
                               title="Reserve tickets for this performance">
                                reserve
                            </a>
                        
                        
                    

                </td>
            </tr>

【问题讨论】：

pandas.pydata.org/pandas-docs/stable/reference/api/…

标签： python-3.x beautifulsoup html-table

【解决方案1】：

首先，您应该发布一些您自己尝试过的代码。但无论如何，这里有另一种方式。

from simplified_scrapy import SimplifiedDoc,req
html = '''
<table class="list">
     <tr class="head">
          <th>Date</th>
          <th>Time</th>
          <th>Play</th>
          <th>Tickets</th>
          <th>&nbsp;</th>
     </tr>
     <tr class="t1">
          <th>Th
          03. 09. 2020</th>
          <td>
          19:00</td>
          <td>Racek</td>
          <td class="center">4</td>
          <td>
               <a href="/rezervace/detail?id=2618"
                    title="Reserve tickets for this performance">
                    reserve
               </a>
          </td>
     </tr>
</table>
'''
doc = SimplifiedDoc(html)
# First method
table = doc.getTable('table')
print (table)

# Second method
table = doc.getElement('table', attr='class', value='list').trs.children.text
print (table)

结果：

[['Date', 'Time', 'Play', 'Tickets', ''], ['Th 03. 09. 2020', '19:00', 'Racek', '4', 'reserve']]
[['Date', 'Time', 'Play', 'Tickets', ''], ['Th 03. 09. 2020', '19:00', 'Racek', '4', 'reserve']]

【讨论】：

【解决方案2】：

此脚本将使用BeautifulSoup 解析表格，然后将各个行打印到屏幕：

import re
from bs4 import BeautifulSoup

html = '''
<table class="list">
     <tr class="head">
          <th>Date</th>
          <th>Time</th>
          <th>Play</th>
          <th>Tickets</th>
          <th>&nbsp;</th>
     </tr>
     <tr class="t1">
          <th>Th
          03. 09. 2020</th>
          <td>
          19:00</td>
          <td>Racek</td>
          <td class="center">4</td>
          <td>
               <a href="/rezervace/detail?id=2618"
                    title="Reserve tickets for this performance">
                    reserve
               </a>
          </td>
     </tr>
</table>
'''

soup = BeautifulSoup(html, 'html.parser')

all_data = []
for row in soup.select('tr'):
    all_data.append([re.sub(r'\s{2,}', ' ', d.get_text(strip=True)) for d in row.select('td, th')])

# print data to screen:

# print header:
print('{:<25}{:<15}{:<15}{:<15}{:<15}'.format(*all_data[0]))

# print rows:
for date, time, play, tickets, reserve in all_data[1:]:
    print('{:<25}{:<15}{:<15}{:<15}{:<15}'.format(date, time, play, tickets, reserve))

打印：

Date                     Time           Play           Tickets                       
Th 03. 09. 2020          19:00          Racek          4              reserve

【讨论】：

【解决方案3】：

使用 pandas 的简单方法

import pandas as pd

table = """
<table class="list">
    <tr class="head">
        <th>Date</th>
        <th>Time</th>
        <th>Play</th>
        <th>Tickets</th>
        <th>&nbsp;</th>
    </tr>
    <tr class="t1">
        <th>Th
            03. 09. 2020</th>
        <td>
            19:00</td>
        <td>Racek</td>
        <td class="center">4</td>
        <td>
            <a href="/rezervace/detail?id=2618" title="Reserve tickets for this performance">
                reserve
            </a>
        </td>
    </tr>
</table>
""""

df = pd.read_html(table)[0]

然后就可以访问“df”内的数据了

df["Date"]
# 0    Th  03. 09. 2020
# Name: Date, dtype: object
df["Time"]
# 0    19:00
# Name: Time, dtype: object
df["Play"]
# 0    Racek
# Name: Play, dtype: object
df["Tickets"]
# 0    4

【讨论】：