我有一个csv文件包含XML条目。假设每个XML条目以<entry>
开头,以</entry>
结尾。我的档案里有几千个这样的条目。每个XML条目都由嵌套的XML元素组成。在
我需要提取每个条目的一些元素,并用Python将它们保存到另一个文件中。下面是一个XML条目的示例。假设我要提取每个条目的和元素。你能告诉我怎么用Python来做这个吗?我是Python编程的初学者。在
"<entry xmlns=""http://www.w3.org/2005/Atom"" xmlns:gnip=""http://www.gnip.com/schemas/2010"">
<id>tag:search.twitter.com,2005:157796632933576704</id>
<published>2012-01-13T12:10:23+00:00</published>
<updated>2012-01-13T12:10:23+00:00</updated>
<summary type=""html"">RT @sprice54: If you rearrange the words ""Debit card"" you can spell ""Bad Credit""</summary>
<link rel=""alternate"" type=""text/html"" href=""http://twitter.com/GCordivari/statuses/157796632933576704""/>
<source>
<link rel=""self"" type=""application/json"" href=""https://stream.twitter.com/1/statuses/filter.json""/>
<title>Twitter - Stream - Track</title>
<updated>2012-01-13T12:10:25Z</updated>
</source>
<service:provider xmlns:service=""http://activitystrea.ms/service-provider"">
<name>Twitter</name>
<uri>http://www.twitter.com/</uri>
<icon/>
</service:provider>
<contributor>
<name>Steve Price</name>
<uri>http://www.twitter.com/sprice54</uri>
</contributor>
<link rel=""via"" type=""text/html"" href=""http://twitter.com/sprice54/statuses/157748462321012736""/>
<title>George Cordivari shared: Steve Price posted a note on Twitter</title>
<category term=""StatusShared"" label=""Status Shared""/>
<category term=""NoteShared"" label=""Note Shared""/>
<activity:verb xmlns:activity=""http://activitystrea.ms/spec/1.0/"">http://activitystrea.ms/schema/1.0/share</activity:verb>
<activity:object xmlns:activity=""http://activitystrea.ms/spec/1.0/"">
<activity:object-type>http://activitystrea.ms/schema/1.0/note</activity:object-type>
<id>object:search.twitter.com,2005:157796632933576704</id>
<content type=""html"">RT @sprice54: If you rearrange the words ""Debit card"" you can spell ""Bad Credit""</content>
<link rel=""alternate"" type=""text/html"" href=""http://twitter.com/GCordivari/statuses/157796632933576704""/>
</activity:object>
<author>
<name>George Cordivari</name>
<uri>http://www.twitter.com/GCordivari</uri>
</author>
<activity:author xmlns:activity=""http://activitystrea.ms/spec/1.0/"">
<activity:object-type>http://activitystrea.ms/schema/1.0/person</activity:object-type>
<gnip:friends xmlns:gnip=""http://www.gnip.com/schemas/2010"" followersCount=""37"" followingCount=""61""/>
<link rel=""alternate"" type=""text/html"" length=""0"" href=""http://www.twitter.com/GCordivari""/>
<link rel=""avatar"" href=""http://a0.twimg.com/profile_images/1670548060/274805_1268643462_1179159089_n_normal.jpg""/>
<id>http://www.twitter.com/GCordivari</id>
</activity:author>
<activity:actor xmlns:activity=""http://activitystrea.ms/spec/1.0/"">
<activity:object-type>http://activitystrea.ms/schema/1.0/person</activity:object-type>
<gnip:friends xmlns:gnip=""http://www.gnip.com/schemas/2010"" followersCount=""37"" followingCount=""61""/>
<gnip:stats xmlns:gnip=""http://www.gnip.com/schemas/2010"" activityCount=""370"" upstreamId=""id:twitter.com:427031045""/>
<link rel=""alternate"" type=""text/html"" length=""0"" href=""http://www.twitter.com/GCordivari""/>
<link rel=""avatar"" href=""http://a0.twimg.com/profile_images/1670548060/274805_1268643462_1179159089_n_normal.jpg""/>
<id>http://www.twitter.com/GCordivari</id>
<os:location xmlns:os=""http://ns.opensocial.org/2008/opensocial"">Drexel Hell</os:location>
<os:aboutMe xmlns:os=""http://ns.opensocial.org/2008/opensocial"">This is the way I live. #CirocInMyCupIDGAF #CloudNine #FollowMeLikeTheLeader </os:aboutMe>
</activity:actor>
<gnip:twitter_entities xmlns:gnip=""http://www.gnip.com/schemas/2010"">
<user_mentions>
<user_mention start=""3"" end=""12"">
<id>255347428</id>
<name>Steve Price</name>
<screen_name>sprice54</screen_name>
</user_mention>
</user_mentions>
</gnip:twitter_entities>
<gnip:matching_rules>
<gnip:matching_rule rel=""inferred"">""debit card""</gnip:matching_rule>
</gnip:matching_rules>
</entry>"
Python有很多非常好的xml解析工具。beauthoulsoup非常流行,因为它有一个简单的api。http://www.crummy.com/software/BeautifulSoup/doc/
lmxml
是一个非常好的库,用于非常快速的xml解析,但是需要libxml网上有很多教程逐步解释了用python解析xml的基本原理。 http://www.learningpython.com/2008/05/07/elegant-xml-parsing-using-the-elementtree-module/
下面是docs中的示例,您可以如何提取所有命名元素,比如contributor,并将它们导出到一个新的XML文档中。在
使用csv模块解析csv,使用elementtree模块解析xml字段。在
如果xml数据与RSS兼容,请查看feedparser。在
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