使用python解析xml中的CDATA [英] Parsing CDATA in xml with python

问题描述

我需要解析一个XML文件，其中包含一些我需要保留的CDATA块，以便以后进行绘图:

I need to parse an XML file with a number of blocks of CDATA that I need to retain for later plotting:

<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>

<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>

我将需要重复且快速地执行此操作，而我正在寻找执行此操作的最佳方法.我读过ElementTree是方法中比较快的方法，但是我对其他建议持开放态度.

I will need to do this repeatedly and quickly, and I am looking for the best way to do this. I've read that ElementTree is the faster of the methods, but I am open to other suggestions.

推荐答案

以下是两个示例:

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

在两种情况下，它都会处理text属性.

The text attribute it handles it in both cases.

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