首页 \ 问答 \ AttributeError:'ResultSet'对象没有属性'previousSibling'BS4(AttributeError: 'ResultSet' object has no attribute 'previousSibling' BS4)

AttributeError:'ResultSet'对象没有属性'previousSibling'BS4(AttributeError: 'ResultSet' object has no attribute 'previousSibling' BS4)

为一组特定的'td'标签和内部文本刮刮表。 为了过滤刮,我指的是一个特定的'img'标签,并尝试使用previousSibling调用来获得我想要的'td' 。 我已经尝试过previousSiblingprevious_siblingprevious并继续收到错误:

'ResultSet'对象没有属性'previousSibling'

任何帮助,将不胜感激。
到目前为止,这是我的代码。

from urllib2 import urlopen
import requests
from bs4 import BeautifulSoup
base_url = 'http://www.myfxbook.com/forex-economic-calendar'
response = urlopen(base_url)
html = response
soup = BeautifulSoup(html.read().decode('utf-8'), "lxml")
table = soup.find('table', attrs={'class': 'table center td30'})
is_row = table.findAll('img', attrs={'class': 'sprite sprite-common sprite-high-impact'}).previousSibling('td').text
print is_row 

Scraping a table for a specific set of 'td' tags and the text inside. To filter the scrape I'm targeting a specific 'img' tag and trying to use a previousSibling call to get my desired 'td'. I've tried previousSibling, previous_sibling, previous and keep getting the error:

'ResultSet' object has no attribute 'previousSibling'

Any help would be appreciated.
And this is my code so far.

from urllib2 import urlopen
import requests
from bs4 import BeautifulSoup
base_url = 'http://www.myfxbook.com/forex-economic-calendar'
response = urlopen(base_url)
html = response
soup = BeautifulSoup(html.read().decode('utf-8'), "lxml")
table = soup.find('table', attrs={'class': 'table center td30'})
is_row = table.findAll('img', attrs={'class': 'sprite sprite-common sprite-high-impact'}).previousSibling('td').text
print is_row 

原文:https://stackoverflow.com/questions/43330870
更新时间:2022-04-19 15:04

最满意答案

我用的是glob.glob

from glob import glob

for path in sorted(glob(IMAGE_PATH_FOLDER + "ILSVRC2012_val_*.JPEG")):
    im = caffe.io.load_image(path)

I'd use glob.glob.

from glob import glob

for path in sorted(glob(IMAGE_PATH_FOLDER + "ILSVRC2012_val_*.JPEG")):
    im = caffe.io.load_image(path)

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