compute the average height and the average width o

2020-04-19 06:36发布

I have need to get the average div height and width of an html doc.

I have try this solution but it doesn't work:

import numpy as np
average_width = np.mean([div.attrs['width'] for div in my_doc.get_div() if 'width' in div.attrs])
average_height = np.mean([div.attrs['height'] for div in my_doc.get_div() if 'height' in div.attrs])
print average_height,average_width

the get_div method return the list of all div retrieved by the find_all method of beautifulSoup

here is an example :

print my_doc.get_div()[1]

<div style="position:absolute; border: textbox 1px solid; writing-mode:lr-tb; left:45px; top:81px; width:127px; height:9px;">
    <span style="font-family: EICMDA+AdvTrebu-R; font-size:8px">Journal of     Infection (2015) 
    </span>
    <span style="font-family: EICMDB+AdvTrebu-B; font-size:8px">xx</span>
    <span style="font-family: EICMDA+AdvTrebu-R; font-size:8px">, 1</span>
    <span style="font-family: EICMDD+AdvPS44A44B; font-size:7px">e</span>
    <span style="font-family: EICMDA+AdvTrebu-R; font-size:8px">4
    <br/>
    </span>
</div>

when i get the attributes, it works perfectly

print my_doc.get_div()[1].attrs

{u'style': u'position:absolute; border: textbox 1px solid; writing-mode:lr-tb; left:45px; top:81px; width:127px; height:9px;'}

but when i try to get the value

print my_doc.get_div()[1].attrs['width']

I get an error :

KeyError: 'width'

but i don't understand because when i check the type :

print type(my_doc.get_div()[1].attrs)

it's a dictionary , <type 'dict'>

1条回答
▲ chillily
2楼-- · 2020-04-19 07:02

There may be better way-

Way -1

Below is my tested code to extract width and height.

from bs4 import BeautifulSoup

html_doc = '''<div style="position:absolute; border: textbox 1px solid; writing-mode:lr-tb; left:45px; top:81px; width:127px; height:9px;">
    <span style="font-family: EICMDA+AdvTrebu-R; font-size:8px">Journal of     Infection (2015) 
    </span>
    <span style="font-family: EICMDB+AdvTrebu-B; font-size:8px">xx</span>
    <span style="font-family: EICMDA+AdvTrebu-R; font-size:8px">, 1</span>
    <span style="font-family: EICMDD+AdvPS44A44B; font-size:7px">e</span>
    <span style="font-family: EICMDA+AdvTrebu-R; font-size:8px">4
    <br/>
    </span>
</div>'''

soup = BeautifulSoup(html_doc,'html.parser')    
my_att = [i.attrs['style'] for  i in soup.find_all("div")]
dd = ''.join(my_att).split(";")
dd_cln= filter(None, dd)
dd_cln= [i.strip() for i in dd_cln ]
my_dict = dict(i.split(':') for i  in dd_cln)
print my_dict['width']

Way-2 Use regular expression as described here.

Working code-

import numpy as np
import re
from bs4 import BeautifulSoup

html_doc = '''<div style="position:absolute; border: textbox 1px solid; writing-mode:lr-tb; left:45px; top:81px; width:127px; height:9px;">
    <span style="font-family: EICMDA+AdvTrebu-R; font-size:8px">Journal of     Infection (2015) 
    </span>
    <span style="font-family: EICMDB+AdvTrebu-B; font-size:8px">xx</span>
    <span style="font-family: EICMDA+AdvTrebu-R; font-size:8px">, 1</span>
    <span style="font-family: EICMDD+AdvPS44A44B; font-size:7px">e</span>
    <span style="font-family: EICMDA+AdvTrebu-R; font-size:8px">4
    <br/>
    </span>
</div>'''

soup = BeautifulSoup(html_doc,'html.parser')    
my_att = [i.attrs['style'] for  i in soup.find_all("div")]
css = ''.join(my_att)
print css
width_list = map(float,re.findall(r'(?<=width:)(\d+)(?=px;)', css))
height_list = map(float,re.findall(r'(?<=height:)(\d+)(?=px;)', css))
print np.mean(height_list)
print np.mean(width_list)
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