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

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.

解决方案

Here are two examples of how to do it:

from lxml import etree

import xml.etree.ElementTree as ElementTree

CONTENT = """

"""

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()

Output:

timestamp value

timestamp value, timestamp value, timestamp

timestamp value

timestamp value, timestamp value, timestamp

The text attribute it handles it in both cases.