如何使用漂亮的汤列出 html 文件中所有具有 PA/ 的字符串
How to list all strings that have a PA/ inside of a html file using beautiful soup
我有一个将 pdf 转换成 html 的程序,我需要补充这个程序,所以在转换后它会搜索标签 PA/ 和它前面的字符,并将这些标签和字符保存到CSV 文件,我正在尝试这样做,但我做不到。
目前的代码如下:
import shlex
import subprocess
import os
import platform
from bs4 import BeautifulSoup
import re
import csv
import pickle
def rename_files():
file_list = os.listdir(r"C:\PROJECT\pdfs")
print(file_list)
saved_path = os.getcwd()
print('Current working directory is '+saved_path)
os.chdir(r'C:\PROJECT\pdfs')
for file_name in file_list:
os.rename(file_name, file_name.translate(None, " "))
os.chdir(saved_path)
rename_files()
def run(command):
if platform.system() != 'Windows':
args = shlex.split(command)
else:
args = command
s = subprocess.Popen(args,
stdout=subprocess.PIPE,
stderr=subprocess.PIPE)
output, errors = s.communicate()
return s.returncode == 0, output, errors
# Change this to your PDF file base directory
base_directory = 'C:\PROJECT\pdfs'
if not os.path.isdir(base_directory):
print "%s is not a directory" % base_directory
exit(1)
# Change this to your pdf2htmlEX executable location
bin_path = 'C:\Python27\pdfminer-20140328\tools\pdf2txt.py'
if not os.path.isfile(bin_path):
print "Could not find %s" % bin_path
exit(1)
for dir_path, dir_name_list, file_name_list in os.walk(base_directory):
for file_name in file_name_list:
# If this is not a PDF file
if not file_name.endswith('.pdf'):
# Skip it
continue
file_path = os.path.join(dir_path, file_name)
# Convert your PDF to HTML here
args = (bin_path, file_name, file_path)
success, output, errors = run("python %s -o %s.html %s " %args)
if not success:
print "Could not convert %s to HTML" % file_path
print "%s" % errors
htmls_path = 'C:\PROJECT'
for dir_path, dir_name_list, file_name_list in os.walk(htmls_path):
for file_name in file_name_list:
if not file_name.endswith('.html'):
continue
with open(file_name) as markup:
soup = BeautifulSoup(markup.read())
text = soup.get_text()
match = re.findall("PA/(\S*)\s*(\S*)", text)
print(match)
with open ('score.csv', 'w') as f:
writer = csv.writer(f)
writer.writerows('%s' %match)
html 太大了,我会在这里写一部分,包括 PA 和我不想要的文本:
<html>
<title>Testing</title>
<body>
<div style="position:absolute; border: textbox 1px solid; writing-mode:lr-tb; left:59px; top:34023px; width:84px; height:32px;"><span style="font-family: YFEHEP+Times-Bold; font-size:17px">JUST SOME TEXT THAT I DON'T WANT TO HAVE ON THE CSV FILE
<br></span><span style="font-family: YFEHEP+Times-Roman; font-size:16px">PA/00986/17 GTD
<br></span></div><div style="position:absolute; border: textbox 1px solid; writing-mode:lr-tb; left:59px; top:34066px; width:84px; height:16px;"><span style="font-family: YFEHEP+Times-Roman; font-size:16px">PA/01008/17 GTD
<br></span></div><div style="position:absolute; border: textbox 1px solid; writing-mode:lr-tb; left:59px; top:34105px; width:84px; height:16px;"><span style="font-family: YFEHEP+Times-Roman; font-size:16px">PA/01095/17 GTD
</body>
</html>
import re
from bs4 import BeautifulSoup
html_doc = """
<html>
<title>Testing</title>
<body>
<div style="position:absolute; border: textbox 1px solid; writing-mode:lr-tb; left:59px; top:34023px; width:84px; height:32px;"><span style="font-family: YFEHEP+Times-Bold; font-size:17px">JUST SOME TEXT THAT I DON'T WANT TO HAVE ON THE CSV FILE
<br></span><span style="font-family: YFEHEP+Times-Roman; font-size:16px">PA/00986/17 GTD
<br></span></div><div style="position:absolute; border: textbox 1px solid; writing-mode:lr-tb; left:59px; top:34066px; width:84px; height:16px;"><span style="font-family: YFEHEP+Times-Roman; font-size:16px">PA/01008/17 GTD
<br></span></div><div style="position:absolute; border: textbox 1px solid; writing-mode:lr-tb; left:59px; top:34105px; width:84px; height:16px;"><span style="font-family: YFEHEP+Times-Roman; font-size:16px">PA/01095/17 GTD
</body>
</html>
"""
soup = BeautifulSoup(html_doc, 'html.parser')
text = soup.get_text()
match = re.findall("PA/(\S*)\s*(\S*)", text)
print(match)
用于写入 CSV
import csv
with open('ur file.csv','wb') as out:
csv_out=csv.writer(out)
csv_out.writerow(['fist_col','second_col'])
for row in match:
csv_out.writerow(row)
我有一个将 pdf 转换成 html 的程序,我需要补充这个程序,所以在转换后它会搜索标签 PA/ 和它前面的字符,并将这些标签和字符保存到CSV 文件,我正在尝试这样做,但我做不到。
目前的代码如下:
import shlex
import subprocess
import os
import platform
from bs4 import BeautifulSoup
import re
import csv
import pickle
def rename_files():
file_list = os.listdir(r"C:\PROJECT\pdfs")
print(file_list)
saved_path = os.getcwd()
print('Current working directory is '+saved_path)
os.chdir(r'C:\PROJECT\pdfs')
for file_name in file_list:
os.rename(file_name, file_name.translate(None, " "))
os.chdir(saved_path)
rename_files()
def run(command):
if platform.system() != 'Windows':
args = shlex.split(command)
else:
args = command
s = subprocess.Popen(args,
stdout=subprocess.PIPE,
stderr=subprocess.PIPE)
output, errors = s.communicate()
return s.returncode == 0, output, errors
# Change this to your PDF file base directory
base_directory = 'C:\PROJECT\pdfs'
if not os.path.isdir(base_directory):
print "%s is not a directory" % base_directory
exit(1)
# Change this to your pdf2htmlEX executable location
bin_path = 'C:\Python27\pdfminer-20140328\tools\pdf2txt.py'
if not os.path.isfile(bin_path):
print "Could not find %s" % bin_path
exit(1)
for dir_path, dir_name_list, file_name_list in os.walk(base_directory):
for file_name in file_name_list:
# If this is not a PDF file
if not file_name.endswith('.pdf'):
# Skip it
continue
file_path = os.path.join(dir_path, file_name)
# Convert your PDF to HTML here
args = (bin_path, file_name, file_path)
success, output, errors = run("python %s -o %s.html %s " %args)
if not success:
print "Could not convert %s to HTML" % file_path
print "%s" % errors
htmls_path = 'C:\PROJECT'
for dir_path, dir_name_list, file_name_list in os.walk(htmls_path):
for file_name in file_name_list:
if not file_name.endswith('.html'):
continue
with open(file_name) as markup:
soup = BeautifulSoup(markup.read())
text = soup.get_text()
match = re.findall("PA/(\S*)\s*(\S*)", text)
print(match)
with open ('score.csv', 'w') as f:
writer = csv.writer(f)
writer.writerows('%s' %match)
html 太大了,我会在这里写一部分,包括 PA 和我不想要的文本:
<html>
<title>Testing</title>
<body>
<div style="position:absolute; border: textbox 1px solid; writing-mode:lr-tb; left:59px; top:34023px; width:84px; height:32px;"><span style="font-family: YFEHEP+Times-Bold; font-size:17px">JUST SOME TEXT THAT I DON'T WANT TO HAVE ON THE CSV FILE
<br></span><span style="font-family: YFEHEP+Times-Roman; font-size:16px">PA/00986/17 GTD
<br></span></div><div style="position:absolute; border: textbox 1px solid; writing-mode:lr-tb; left:59px; top:34066px; width:84px; height:16px;"><span style="font-family: YFEHEP+Times-Roman; font-size:16px">PA/01008/17 GTD
<br></span></div><div style="position:absolute; border: textbox 1px solid; writing-mode:lr-tb; left:59px; top:34105px; width:84px; height:16px;"><span style="font-family: YFEHEP+Times-Roman; font-size:16px">PA/01095/17 GTD
</body>
</html>
import re
from bs4 import BeautifulSoup
html_doc = """
<html>
<title>Testing</title>
<body>
<div style="position:absolute; border: textbox 1px solid; writing-mode:lr-tb; left:59px; top:34023px; width:84px; height:32px;"><span style="font-family: YFEHEP+Times-Bold; font-size:17px">JUST SOME TEXT THAT I DON'T WANT TO HAVE ON THE CSV FILE
<br></span><span style="font-family: YFEHEP+Times-Roman; font-size:16px">PA/00986/17 GTD
<br></span></div><div style="position:absolute; border: textbox 1px solid; writing-mode:lr-tb; left:59px; top:34066px; width:84px; height:16px;"><span style="font-family: YFEHEP+Times-Roman; font-size:16px">PA/01008/17 GTD
<br></span></div><div style="position:absolute; border: textbox 1px solid; writing-mode:lr-tb; left:59px; top:34105px; width:84px; height:16px;"><span style="font-family: YFEHEP+Times-Roman; font-size:16px">PA/01095/17 GTD
</body>
</html>
"""
soup = BeautifulSoup(html_doc, 'html.parser')
text = soup.get_text()
match = re.findall("PA/(\S*)\s*(\S*)", text)
print(match)
用于写入 CSV
import csv
with open('ur file.csv','wb') as out:
csv_out=csv.writer(out)
csv_out.writerow(['fist_col','second_col'])
for row in match:
csv_out.writerow(row)