日韩性视频-久久久蜜桃-www中文字幕-在线中文字幕av-亚洲欧美一区二区三区四区-撸久久-香蕉视频一区-久久无码精品丰满人妻-国产高潮av-激情福利社-日韩av网址大全-国产精品久久999-日本五十路在线-性欧美在线-久久99精品波多结衣一区-男女午夜免费视频-黑人极品ⅴideos精品欧美棵-人人妻人人澡人人爽精品欧美一区-日韩一区在线看-欧美a级在线免费观看

歡迎訪問 生活随笔!

生活随笔

當前位置: 首頁 > 编程语言 > python >内容正文

python

python 解析url上的xml_如何从python中的URL读取XML文件?

發布時間:2025/3/15 python 15 豆豆
生活随笔 收集整理的這篇文章主要介紹了 python 解析url上的xml_如何从python中的URL读取XML文件? 小編覺得挺不錯的,現在分享給大家,幫大家做個參考.

由于命名空間的原因,找不到標題元素。在

下面是要查找的示例代碼:“文檔”標簽中的標題

來自內部“組件”標簽的標題import xml.etree.ElementTree as ET

import urllib.request

url = 'https://dailymed.nlm.nih.gov/dailymed/services/v2/spls/fe9e8b7d-61ea-409d-84aa-3ebd79a046b5.xml'

response = urllib.request.urlopen(url).read()

tree = ET.fromstring(response)

for docTitle in tree.findall('{urn:hl7-org:v3}title'):

print(docTitle.text)

for compTitle in tree.findall('.//{urn:hl7-org:v3}title'):

print(compTitle.text)

更新

示例:

^{pr2}$

此示例打印ID為829076996的作者名

更新2

您可以使用findall方法輕松處理所有assignedEntity標記。

對于每種方法,您可以有多個產品,因此需要另一個findall方法(參見下面的示例)。在xPathAssignedEntities = ''.join([

".//",

NS, "author/",

NS, "assignedEntity/",

NS, "representedOrganization/",

NS, "assignedEntity/",

NS, "assignedOrganization/",

NS, "assignedEntity"

])

xPathProdCode = ''.join([

NS, "actDefinition/",

NS, "product/",

NS, "manufacturedProduct/",

NS, "manufacturedMaterialKind/",

NS, "code"

])

# GET ALL assignedEntity TAGS

for assignedEntity in tree.findall(xPathAssignedEntities):

#?GET ID AND NAME OF assignedEntity

id = assignedEntity.find(NS + 'assignedOrganization/'+ NS + 'id').get('extension')

name = assignedEntity.find(NS + 'assignedOrganization/' + NS + 'name').text

# FOR EACH assignedEntity WE CAN HAVE MULTIPLE TAGS

for performance in assignedEntity.findall(NS + 'performance'):

actCode = performance.find(NS + 'actDefinition/'+ NS + 'code').get('displayName')

prodCode = performance.find(xPathProdCode).get('code')

print(id, '\t', name, '\t', actCode, '\t', prodCode)

結果是:829084545 Pfizer Pharmaceuticals LLC ANALYSIS 0049-0050

829084545 Pfizer Pharmaceuticals LLC ANALYSIS 0049-4900

829084545 Pfizer Pharmaceuticals LLC ANALYSIS 0049-4910

829084545 Pfizer Pharmaceuticals LLC ANALYSIS 0049-4940

829084545 Pfizer Pharmaceuticals LLC ANALYSIS 0049-4960

829084545 Pfizer Pharmaceuticals LLC API MANUFACTURE 0049-0050

829084545 Pfizer Pharmaceuticals LLC API MANUFACTURE 0049-4900

829084545 Pfizer Pharmaceuticals LLC API MANUFACTURE 0049-4910

829084545 Pfizer Pharmaceuticals LLC API MANUFACTURE 0049-4940

829084545 Pfizer Pharmaceuticals LLC API MANUFACTURE 0049-4960

829084545 Pfizer Pharmaceuticals LLC MANUFACTURE 0049-4900

829084545 Pfizer Pharmaceuticals LLC MANUFACTURE 0049-4910

829084545 Pfizer Pharmaceuticals LLC MANUFACTURE 0049-4960

829084545 Pfizer Pharmaceuticals LLC PACK 0049-4900

829084545 Pfizer Pharmaceuticals LLC PACK 0049-4910

829084545 Pfizer Pharmaceuticals LLC PACK 0049-4960

618054084 Pharmacia and Upjohn Company LLC ANALYSIS 0049-0050

618054084 Pharmacia and Upjohn Company LLC ANALYSIS 0049-4940

829084552 Pfizer Pharmaceuticals LLC PACK 0049-4900

829084552 Pfizer Pharmaceuticals LLC PACK 0049-4910

829084552 Pfizer Pharmaceuticals LLC PACK 0049-4960

總結

以上是生活随笔為你收集整理的python 解析url上的xml_如何从python中的URL读取XML文件?的全部內容,希望文章能夠幫你解決所遇到的問題。

如果覺得生活随笔網站內容還不錯,歡迎將生活随笔推薦給好友。