python - 用python解析xml中的CDATA

Question

我需要解析一个包含许多 CDATA block 的 XML 文件，我需要保留这些 block 以供以后绘图:

<process id="process1">
<log name="name1" device="device1"><![CDATA[timestamp value]]]></log>
<log name="name2" device="device2"><![CDATA[timestamp value, timestamp value, timestamp]]]></log>
</process>


我需要反复快速地执行此操作，并且我正在寻找执行此操作的最佳方法。我读过 ElementTree 是速度更快的方法，但我愿意接受其他建议。

Answer 1

以下是如何操作的两个示例:

from lxml import etree
import xml.etree.ElementTree as ElementTree

CONTENT = """
<process id="process1">
 <log name="name1" device="device1"><![CDATA[timestamp value]]></log>
 <log name="name2" device="device2"><![CDATA[timestamp value, timestamp value, timestamp]]></log>
</process>
"""

def parse_with_lxml():
    root = etree.fromstring(CONTENT)
    for log in root.xpath("//log"):
        print log.text

def parse_with_stdlib():
    root = ElementTree.fromstring(CONTENT)
    for log in root.iter('log'):
        print log.text

if __name__ == '__main__':
    parse_with_lxml()
    parse_with_stdlib()

输出:

timestamp value
timestamp value, timestamp value, timestamp
timestamp value
timestamp value, timestamp value, timestamp

它在这两种情况下处理的文本属性。