[英]How to extract node information conditional to the information of a sibling node using python?
我有一个感兴趣的personId
列表:
agents = {'id': ['20','32','12']}
然后我有一个具有家庭特征的XML文件:
<households
<household id="980921">
<members>
<personId refId="5"/>
<personId refId="15"/>
<personId refId="20"/>
</members>
<income currency="CHF" period="month">
8000.0
</income>
<attributes>
<attribute name="numberOfCars" class="java.lang.String" >2</attribute>
</attributes>
</household>
<household id="980976">
<members>
<personId refId="2891"/>
<personId refId="100"/>
<personId refId="2044"/>
</members>
<income currency="CHF" period="month">
8000.0
</income>
<attributes>
<attribute name="numberOfCars" class="java.lang.String" >1</attribute>
</attributes>
</household>
<household id="980983">
<members>
<personId refId="11110"/>
<personId refId="32"/>
<personId refId="34"/>
</members>
<income currency="CHF" period="month">
10000.0
</income>
<attributes>
<attribute name="numberOfCars" class="java.lang.String" >0</attribute>
</attributes>
</household>
</households>
我想要的是有一个数据框,它向我显示家庭的income
,其中包含属于感兴趣的agents
列表的member
。 像这样的东西(加号将是一个额外的列,表示容纳感兴趣的人的家庭成员的数量):
personId income
20 8000.0
32 10000.0
我的方法并没有真正走得太远。 我很难过滤members
,然后从“兄弟”节点访问信息。 我的 output 是一个空数据框。
import xml.etree.ElementTree as ET
import pandas as pd
with open(xml) as fd:
root = ET.parse(fd).getroot()
xpath_fmt = 'household/members/personId[@refId="{}"]/income'
rows = []
for pid in agents['id']:
xpath = xpath_fmt.format(pid)
r = root.findall(xpath)
for res in r:
rows.append([pid, res.text])
d = pd.DataFrame(rows, columns=['personId', 'income'])
非常感谢你的帮助!
如评论中所述,这是使用 BeautifulSoup 的解决方案( xml_txt
是问题中的 XML 文本):
import pandas as pd
from bs4 import BeautifulSoup
agents = {'id': ['20','32','12']}
soup = BeautifulSoup(xml_txt, 'xml') #xml_txt is your XML text from the question
css_selector = ','.join('household > members > personId[refId="{}"]'.format(i) for i in agents['id'])
data = {'personId':[], 'income':[]}
for person in soup.select(css_selector):
data['personId'].append( person['refId'] )
data['income'].append( person.find_parent('household').find('income').get_text(strip=True) )
df = pd.DataFrame(data)
print(df)
印刷:
personId income
0 20 8000.0
1 32 10000.0
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