Python 正在删除EDGAR HTML文件并希望转换为dataframe

我不太会刮网站

url = 'https://www.sec.gov/Archives/edgar/data/1383094/000095013120003579/d33910dex991.htm'

df = pd.read_html(url, parse_dates=[0])[0]
print (df.head())

这是我的代码，我想从这个网站上提取所有数据，但结果总是第一个“正文”

0   1   2           3   4
0                           NaN NaN NaN         NaN NaN
1  Collection Period Beginning: NaN NaN  08/01/2020 NaN
2     Collection Period Ending: NaN NaN  08/31/2020 NaN
3  Previous Payment/Close Date: NaN NaN  08/17/2020 NaN
4                  Payment Date NaN NaN  09/15/2020 NaN

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如何获取其余的表？

pd.read\u html

返回所有表的列表。您只是在读取初始表，因此它会给您一个df

尝试：

。。以此类推，读取索引处的所有df。df保存列表，您可以访问每个索引处的列表元素

df = pd.read_html(url, parse_dates=[0])
df1 = df[0]
df2 = df[1]