使用 python 将结构化 xml 转换为表

Answer 1

这是一个如何使用 beautifulsoup 从 XML 片段创建数据框的示例：

import pandas as pd
from bs4 import BeautifulSoup

xml_doc = """\
<ESpace Key="ESpace:y7vmLUGpAMoLhw4MvpnAPg" Name="Onboarding_Core" UserProviderEspace="Users" DefaultThemeNewRuntime="ThemeReference:rQ3WUJw0o0+BC9ZDjXD7uA" DefaultTransition="Fade" UseCookies="Yes" WebScreenRenderingMode="HTML5" ModuleType="CrossDevice">
<Actions>
</Actions>
<Entities>
<Entity Key="Entity:X2oBACCeRUeSQxJFoyn1hA" ExposeReadOnly="Yes" Identifier="Attribute:_EXIewz0o024UgjslFt7_g" Public="Yes" Name="Document">
<Attributes>
<Attribute Key="Attribute:_EXIewz0o024UgjslFt7_g" IsMandatory="Yes" Name="Id" DataType="Long Integer" IsAutoNumber="Yes"/>
<Attribute Key="Attribute:ypRA49SJBkexc+ICR12zdw" Length="50" Name="Name" DataType="Text"/>
<Attribute Key="Attribute:mdWB6OaTkE26BwxQRRfbBg" Name="CreatedOn" DataType="Date Time"/>
<Attribute Key="Attribute:W0foZDFa5kme6QySnTNEMA" Name="Binary" DataType="Binary Data"/>
</Attributes>
</Entity>
<Entity Key="Entity:6NuECH7xe06M250tQsPsJA" IsStaticEntity="Yes" IsMultitenant="No" ExposeReadOnly="Yes" Identifier="Attribute:jBExnTjCy0GOtV5fZZG0pw" Public="Yes" Name="DateFormat" Folder="Folder:SErnhCWKOUKpp39VDQVVcg">
<Attributes>
<Attribute Key="Attribute:jBExnTjCy0GOtV5fZZG0pw" IsMandatory="Yes" Name="Id" DataType="Integer" IsAutoNumber="Yes" DeleteRule="Ignore"/>
<Attribute Key="Attribute:Q0S8yDbafEi+YMF0rXnbvg" IsMandatory="Yes" Length="50" Name="Format" DataType="Text" DeleteRule="Ignore"/>
<Attribute Key="Attribute:XUw_zMWoZki2qWuZcYRizw" IsMandatory="Yes" Length="50" Name="Example" DataType="Text" DeleteRule="Ignore"/>
<Attribute Key="Attribute:YpcYFT5YNUKxqaYLZOe6qA" IsMandatory="Yes" Name="Order" DataType="Integer" DeleteRule="Ignore"/>
<Attribute Key="Attribute:3QRHk0Wl7kuwg4gmzIs8yw" IsMandatory="Yes" Name="IsActive" DataType="Boolean" DeleteRule="Ignore"/>
</Attributes>
</Entity>

</Entities>
</ESpace>
"""

soup = BeautifulSoup(xml_doc, "xml")

out = []
for e in soup.select("Entity"):
    attrs = {}
    for a in e.select("Attribute"):
        out.append({"Entity Name": e["Name"], **a.attrs})

df = pd.DataFrame(out)
print(df)

打印：

  Entity Name                               Key IsMandatory       Name      DataType IsAutoNumber Length DeleteRule
0    Document  Attribute:_EXIewz0o024UgjslFt7_g         Yes         Id  Long Integer          Yes    NaN        NaN
1    Document  Attribute:ypRA49SJBkexc+ICR12zdw         NaN       Name          Text          NaN     50        NaN
2    Document  Attribute:mdWB6OaTkE26BwxQRRfbBg         NaN  CreatedOn     Date Time          NaN    NaN        NaN
3    Document  Attribute:W0foZDFa5kme6QySnTNEMA         NaN     Binary   Binary Data          NaN    NaN        NaN
4  DateFormat  Attribute:jBExnTjCy0GOtV5fZZG0pw         Yes         Id       Integer          Yes    NaN     Ignore
5  DateFormat  Attribute:Q0S8yDbafEi+YMF0rXnbvg         Yes     Format          Text          NaN     50     Ignore
6  DateFormat  Attribute:XUw_zMWoZki2qWuZcYRizw         Yes    Example          Text          NaN     50     Ignore
7  DateFormat  Attribute:YpcYFT5YNUKxqaYLZOe6qA         Yes      Order       Integer          NaN    NaN     Ignore
8  DateFormat  Attribute:3QRHk0Wl7kuwg4gmzIs8yw         Yes   IsActive       Boolean          NaN    NaN     Ignore