使用路径和值从xml文件创建数据框 [英] Create a dataframe from a xml file with the paths and the value
本文介绍了使用路径和值从xml文件创建数据框的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
问题描述
这是xml文件中的数据,
Here is the data from the xml file,
<SOAP-ENV:Envelope xmlns:SOAP-ENV="http://schemas.xmlsoap.org/soap/envelope/">
<SOAP-ENV:Header />
<SOAP-ENV:Body>
<ADD_LandIndex_001>
<CNTROLAREA>
<BSR>
<status>ADD</status>
<NOUN>LandIndex</NOUN>
<REVISION>001</REVISION>
</BSR>
</CNTROLAREA>
<DATAAREA>
<LandIndex>
<reportId>AMI100031</reportId>
<requestKey>R3278458</requestKey>
<SubmittedBy>EN4871</SubmittedBy>
<submittedOn>2015/01/06 4:20:11 PM</submittedOn>
<LandIndex>
<agreementdetail>
<agreementid>001 4860</agreementid>
<agreementtype>NATURAL GAS</agreementtype>
<currentstatus>
<status>ACTIVE</status>
<statuseffectivedate>1965/02/18</statuseffectivedate>
<termdate>1965/02/18</termdate>
</currentstatus>
<designatedrepresentative></designatedrepresentative>
</agreementdetail>
</LandIndex>
</LandIndex>
</DATAAREA>
</ADD_LandIndex_001>
</SOAP-ENV:Body>
</SOAP-ENV:Envelope
我想在数据帧中保存:1)路径和2)与该路径相对应的元素的文本,并且仅用于包含值的元素.所以我想要这样的东西:
I want to save in a dataframe : 1) the path and 2) the text of the elements corresponding to the path and only for a the elements that contains a value. So I would like to have something like that :
Path Value
0 Body/ADD_LandIndex_001/CNTROLAREA/BSR/status ADD
1 Body/ADD_LandIndex_001/CNTROLAREA/BSR/NOUN LandIndex
2 Body/ADD_LandIndex_001/CNTROLAREA/BSR/REVISION 001
我有这个无效的小代码!它返回一个空的数据帧,但是我可以通过函数循环中的 print(d)
看到它正确地获取每个元素.我真的不知道出什么问题了吗?任何人都可以找到为什么它为空并且不能正常工作的原因吗?
I have this little code that does not work ! It returns an empty dataframe, however I can see by the print(d)
in the loop of the function that it takes correctly each elements. I don't really see what is wrong ? Anyone can find why it is empty and not working ?
from lxml import etree as et
from collections import defaultdict
import pandas as pd
import os
filename = 'file_try.xml'
namespace = '{http://schemas.xmlsoap.org/soap/envelope/}'
with open(filename, 'rb') as file:
root = et.parse(file).getroot()
tree = et.ElementTree(root)
col_name = ['Path', 'Value']
dataF = pd.DataFrame([],columns = col_name)
def traverse(el,d):
if len(list(el)) > 0:
for child in el:
traverse(child,d)
else:
if el.text is not None:
d = d.append({'Path': tree.getelementpath(el).replace(namespace,''), 'Value' : el.text }, ignore_index = True)
print(d)
return d
df = traverse(root,dataF)
print(df)
df.to_excel("data_2.xlsx")
推荐答案
尝试一下.
from simplified_scrapy import SimplifiedDoc, utils
rows = []
rows.append(['Path', 'Value'])
xml = utils.getFileContent('file_try.xml')
doc = SimplifiedDoc(xml)
body = doc.select('SOAP-ENV:Body')
def getPathValue(node, path):
path = path + '/' + node['tag'] # Splicing path
children = node.children
if children:
traverseNodes(children, path)
else:
rows.append([path, node.text])
def traverseNodes(nodes, path):
for node in nodes: # Traversing child nodes
getPathValue(node, path)
traverseNodes(body.children, "Body")
# print(rows)
utils.save2csv('data_2.csv', rows)
结果:
[['Body/ADD_LandIndex_001/CNTROLAREA/BSR/status', 'ADD'], ['Body/ADD_LandIndex_001/CNTROLAREA/BSR/NOUN', 'LandIndex'], ['Body/ADD_LandIndex_001/CNTROLAREA/BSR/REVISION', '001'], ['Body/ADD_LandIndex_001/DATAAREA/LandIndex/reportId', 'AMI100031'], ['Body/ADD_LandIndex_001/DATAAREA/LandIndex/requestKey', 'R3278458'],
...
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