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python xml.etree.El

发布时间：2019-07-06 10:47:13编辑：auto阅读（1856）

    1. Parsing XML

    <?xml version="1.0"?><data>
    <country name="Liechtenstein">
        <rank>1</rank>
        <year>2008</year>
        <gdppc>141100</gdppc>
        <neighbor name="Austria" direction="E"/>
        <neighbor name="Switzerland" direction="W"/>
    </country>
    <country name="Singapore">
        <rank>4</rank>
        <year>2011</year>
        <gdppc>59900</gdppc>
        <neighbor name="Malaysia" direction="N"/>
    </country>
    <country name="Panama">
        <rank>68</rank>
        <year>2011</year>
        <gdppc>13600</gdppc>
        <neighbor name="Costa Rica" direction="W"/>
        <neighbor name="Colombia" direction="E"/>
    </country></data>

    We have a number of ways to import the data. Reading the file from disk:

    import xml.etree.ElementTree as ET
tree = ET.parse('country_data.xml')
root = tree.getroot()

    Reading the data from a string:

    root = ET.fromstring(country_data_as_string)
    >>> root.tag
'data'
>>> root.attrib
{}

    >>> for child in root:
...   print child.tag, child.attrib
...
country {'name': 'Liechtenstein'}
country {'name': 'Singapore'}
country {'name': 'Panama'}
    >>> root[0][1].text
'2008'

    2.Finding interesting elements

    >>> for neighbor in root.iter('neighbor'):
...   print neighbor.attrib
...
{'name': 'Austria', 'direction': 'E'}
{'name': 'Switzerland', 'direction': 'W'}
{'name': 'Malaysia', 'direction': 'N'}
{'name': 'Costa Rica', 'direction': 'W'}
{'name': 'Colombia', 'direction': 'E'}
    >>> for country in root.findall('country'):
...   rank = country.find('rank').text
...   name = country.get('name')
...   print name, rank
...
Liechtenstein 1
Singapore 4
Panama 68


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