如果python在给定列表中出现另一个属性,如何提取XML属性?
我有一个如果python在给定列表中出现另一个属性,如何提取XML属性?,python,xml,pandas,xml-parsing,elementtree,Python,Xml,Pandas,Xml Parsing,Elementtree,我有一个linkId的列表 links_o_i = [652518, 345004, 225317, 177396, 551734] 此外,我还有一个XML文件,其结构如下: <?xml version="1.0" encoding="UTF-8"?> <!DOCTYPE facilities SYSTEM "http://www.matsim.org/files/dtd/facilities_v1.dtd"> <facilities name="Facilit
linkId
的列表
links_o_i = [652518, 345004, 225317, 177396, 551734]
此外,我还有一个XML文件,其结构如下:
<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE facilities SYSTEM "http://www.matsim.org/files/dtd/facilities_v1.dtd">
<facilities name="Facilities from different sources">
<!-- ====================================================================== -->
<facility id="10002" linkId="666355" x="2684102.0" y="1253168.0">
<activity type="other">
</activity>
<activity type="work">
</activity>
</facility>
<!-- ====================================================================== -->
<facility id="10007" linkId="961312" x="2683486.0" y="1247853.0">
<activity type="other">
</activity>
<activity type="work">
</activity>
</facility>
<!-- ====================================================================== -->
<facility id="100070" linkId="652518" x="2684238.0" y="1246568.0">
<activity type="leisure">
</activity>
<activity type="other">
</activity>
<activity type="work">
</activity>
</facility>
<!-- ====================================================================== -->
<facility id="100071" linkId="1063278" x="2689220.0" y="1243493.0">
<activity type="leisure">
</activity>
<activity type="other">
</activity>
<activity type="work">
</activity>
</facility>
<!-- ====================================================================== -->
<facility id="100072" linkId="786540" x="2680812.0" y="1249375.0">
<activity type="leisure">
</activity>
<activity type="other">
</activity>
<activity type="work">
</activity>
</facility>
<!-- ====================================================================== -->
<facility id="100073" linkId="225317" x="2681506.0" y="1249508.0">
<activity type="other">
</activity>
<activity type="shop">
</activity>
<activity type="work">
</activity>
</facility>
</facilities>
您可以使用将数据解析为dict格式,并提取ur数据:
extract = [{k:v for k,v in ent.items() if k in ['@linkId','@x','@y']}
for ent in xmltodict.parse(data)['facilities']['facility']]
#filter for only entries in the list
res = [ent for ent in extract if int(ent['@linkId']) in links_o_i]
#read into dataframe
pd.DataFrame(res)
@linkId @x @y
0 652518 2684238.0 1246568.0
1 225317 2681506.0 1249508.0
和蔼可亲!谢谢。比我的方法简单多了
extract = [{k:v for k,v in ent.items() if k in ['@linkId','@x','@y']}
for ent in xmltodict.parse(data)['facilities']['facility']]
#filter for only entries in the list
res = [ent for ent in extract if int(ent['@linkId']) in links_o_i]
#read into dataframe
pd.DataFrame(res)
@linkId @x @y
0 652518 2684238.0 1246568.0
1 225317 2681506.0 1249508.0