我应该使用PyXML还是标准库中的内容?
答案 0 :(得分:10)
ElementTree是标准Python库的一部分。 ElementTree是纯python,而cElementTree是更快的C实现:
# Try to use the C implementation first, falling back to python
try:
from xml.etree import cElementTree as ElementTree
except ImportError, e:
from xml.etree import ElementTree
这是一个示例用法,我从RESTful Web服务中使用xml:
def find(*args, **kwargs):
"""Find a book in the collection specified"""
search_args = [('access_key', api_key),]
if not is_valid_collection(kwargs['collection']):
return None
kwargs.pop('collection')
for key in kwargs:
# Only the first keword is honored
if kwargs[key]:
search_args.append(('index1', key))
search_args.append(('value1', kwargs[key]))
break
url = urllib.basejoin(api_url, '%s.xml' % 'books')
data = urllib.urlencode(search_args)
req = urllib2.urlopen(url, data)
rdata = []
chunk = 'xx'
while chunk:
chunk = req.read()
if chunk:
rdata.append(chunk)
tree = ElementTree.fromstring(''.join(rdata))
results = []
for i, elem in enumerate(tree.getiterator('BookData')):
results.append(
{'isbn': elem.get('isbn'),
'isbn13': elem.get('isbn13'),
'title': elem.find('Title').text,
'author': elem.find('AuthorsText').text,
'publisher': elem.find('PublisherText').text,}
)
return results
答案 1 :(得分:3)
我总是喜欢尽可能使用标准库。 ElementTree在pythonistas中是众所周知的,所以你应该能够找到很多例子。它的一部分也在C中进行了优化,所以速度非常快。
答案 2 :(得分:0)
还有BeautifulSoup,它有一些可能更喜欢的API。以下是一个示例,说明如何从Twitter的公共时间线中提取所有推文:
from BeautifulSoup import BeautifulStoneSoup
import urllib
url = urllib.urlopen('http://twitter.com/statuses/public_timeline.xml').read()
favorited = []
soup = BeautifulStoneSoup(url)
statuses = soup.findAll('status')
for status in statuses:
if status.find('favorited').contents != [u'false']:
favorited.append(status)