Question

Let’s suppose we have the XML file with the structure as follows.

<?xml version="1.0" ?> 
<searchRetrieveResponse xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.loc.gov/zing/srw/ http://www.loc.gov/standards/sru/sru1-1archive/xml-files/srw-types.xsd" xmlns="http://www.loc.gov/zing/srw/">
  <records xmlns:ns1="http://www.loc.gov/zing/srw/">
    <record>
      <recordData>
        <record xmlns="">
          <datafield tag="000">
            <subfield code="a">123</subfield>
            <subfield code="b">456</subfield>
          </datafield>
          <datafield tag="001">
            <subfield code="a">789</subfield>
            <subfield code="b">987</subfield>
          </datafield>
        </record>
      </recordData>
    </record>
    <record>
      <recordData>
        <record xmlns="">
          <datafield tag="000">
            <subfield code="a">123</subfield>
            <subfield code="b">456</subfield>
          </datafield>
          <datafield tag="001">
            <subfield code="a">789</subfield>
            <subfield code="b">987</subfield>
          </datafield>
        </record>
      </recordData>
    </record>
  </records>
</searchRetrieveResponse>

I need to parse out:

• The content of the “subfield” (e.g. 123 in the example above) and
• Attribute values (e.g. 000 or 001)

I wonder how to do that using lxml and XPath. Pasted below is my initial code and I kindly ask someone to explain me, how to parse out values.

import urllib, urllib2
from lxml import etree    

url = "https://dl.dropbox.com/u/540963/short_test.xml"
fp = urllib2.urlopen(url)
doc = etree.parse(fp)
fp.close()

ns = {'xsi':'http://www.loc.gov/zing/srw/'}

for record in doc.xpath('//xsi:record', namespaces=ns):
    print record.xpath("xsi:recordData/record/datafield[@tag='000']", namespaces=ns)

Answer 1

I would be more direct in your XPath: go straight for the elements you want, in this case datafield.

>>> for df in doc.xpath('//datafield'):
        # Iterate over attributes of datafield
        for attrib_name in df.attrib:
                print '@' + attrib_name + '=' + df.attrib[attrib_name]

        # subfield is a child of datafield, and iterate
        subfields = df.getchildren()
        for subfield in subfields:
                print 'subfield=' + subfield.text

Also, lxml appears to let you ignore the namespace, maybe because your example only uses one namespace?