Python 正在尝试按表号进行屏幕清理

我拼凑了一些非常简单的代码，我想这应该可以让我从一个URL中截取各种表格。这是我的密码

import pandas as pd
import requests
from bs4 import BeautifulSoup

res = requests.get("https://www.federalreserve.gov/releases/h8/current/default.htm")
soup = BeautifulSoup(res.content,'lxml')
table = soup.find_all('table')[1]
df = pd.read_html(str(table))
print(df)

我试图从表1中获取数据，但在运行代码时出现以下错误：

IndexError: list index out of range

---

我想输入一个表号并从该特定表中获取相关数据。页面上共有11个表格。我做错了什么？

我相信您只是想要一个标准的html解析器，而不是使用lxml

更改：

soup = BeautifulSoup(res.content,'lxml')

致：

输出：

[        Account                                                        2019 Aug     2020 Feb     2020 Mar     2020 Apr     2020 May     2020 Jun     2020 Jul     2020 Aug  Week ending                                       
        Account                                          Account.1     2019 Aug     2020 Feb     2020 Mar     2020 Apr     2020 May     2020 Jun     2020 Jul     2020 Aug       Aug 12       Aug 19       Aug 26       Sep 02
0        Assets                                             Assets       Assets       Assets       Assets       Assets       Assets       Assets       Assets       Assets       Assets       Assets       Assets       Assets
1             1                                        Bank credit      13606.2      13949.9      14419.2      14787.2      14851.9      14840.1      14880.2      14889.9      14878.1      14873.9      14893.1      14912.1
2             2                        Securities in bank credit 2       3725.5       3871.0       3987.4       3989.3       4016.8       4166.5       4297.2       4363.6       4327.7       4357.0       4375.1       4421.3

---

..

我找到了一个有效的解决方案！

[        Account                                                        2019 Aug     2020 Feb     2020 Mar     2020 Apr     2020 May     2020 Jun     2020 Jul     2020 Aug  Week ending                                       
        Account                                          Account.1     2019 Aug     2020 Feb     2020 Mar     2020 Apr     2020 May     2020 Jun     2020 Jul     2020 Aug       Aug 12       Aug 19       Aug 26       Sep 02
0        Assets                                             Assets       Assets       Assets       Assets       Assets       Assets       Assets       Assets       Assets       Assets       Assets       Assets       Assets
1             1                                        Bank credit      13606.2      13949.9      14419.2      14787.2      14851.9      14840.1      14880.2      14889.9      14878.1      14873.9      14893.1      14912.1
2             2                        Securities in bank credit 2       3725.5       3871.0       3987.4       3989.3       4016.8       4166.5       4297.2       4363.6       4327.7       4357.0       4375.1       4421.3