python实现将html表格转换成CSV文件的方法

yipeiwu_com6年前Python基础

本文实例讲述了python实现将html表格转换成CSV文件的方法。分享给大家供大家参考。具体如下:

使用方法:python html2csv.py *.html
这段代码使用了 HTMLParser 模块

#!/usr/bin/python
# -*- coding: iso-8859-1 -*-
# Hello, this program is written in Python - http://python.org
programname = 'html2csv - version 2002-09-20 - http://sebsauvage.net'
import sys, getopt, os.path, glob, HTMLParser, re
try:  import psyco ; psyco.jit() # If present, use psyco to accelerate the program
except: pass
def usage(progname):
  ''' Display program usage. '''
  progname = os.path.split(progname)[1]
  if os.path.splitext(progname)[1] in ['.py','.pyc']: progname = 'python '+progname
  return '''%s
A coarse HTML tables to CSV (Comma-Separated Values) converter.
Syntax  : %s source.html
Arguments : source.html is the HTML file you want to convert to CSV.
      By default, the file will be converted to csv with the same
      name and the csv extension (source.html -> source.csv)
      You can use * and ?.
Examples  : %s mypage.html
      : %s *.html
This program is public domain.
Author : Sebastien SAUVAGE <sebsauvage at sebsauvage dot net>
     http://sebsauvage.net
''' % (programname, progname, progname, progname)
class html2csv(HTMLParser.HTMLParser):
  ''' A basic parser which converts HTML tables into CSV.
    Feed HTML with feed(). Get CSV with getCSV(). (See example below.)
    All tables in HTML will be converted to CSV (in the order they occur
    in the HTML file).
    You can process very large HTML files by feeding this class with chunks
    of html while getting chunks of CSV by calling getCSV().
    Should handle badly formated html (missing <tr>, </tr>, </td>,
    extraneous </td>, </tr>...).
    This parser uses HTMLParser from the HTMLParser module,
    not HTMLParser from the htmllib module.
    Example: parser = html2csv()
         parser.feed( open('mypage.html','rb').read() )
         open('mytables.csv','w+b').write( parser.getCSV() )
    This class is public domain.
    Author: Sébastien SAUVAGE <sebsauvage at sebsauvage dot net>
        http://sebsauvage.net
    Versions:
      2002-09-19 : - First version
      2002-09-20 : - now uses HTMLParser.HTMLParser instead of htmllib.HTMLParser.
            - now parses command-line.
    To do:
      - handle <PRE> tags
      - convert html entities (&name; and &#ref;) to Ascii.
      '''
  def __init__(self):
    HTMLParser.HTMLParser.__init__(self)
    self.CSV = ''   # The CSV data
    self.CSVrow = ''  # The current CSV row beeing constructed from HTML
    self.inTD = 0   # Used to track if we are inside or outside a <TD>...</TD> tag.
    self.inTR = 0   # Used to track if we are inside or outside a <TR>...</TR> tag.
    self.re_multiplespaces = re.compile('\s+') # regular expression used to remove spaces in excess
    self.rowCount = 0 # CSV output line counter.
  def handle_starttag(self, tag, attrs):
    if  tag == 'tr': self.start_tr()
    elif tag == 'td': self.start_td()
  def handle_endtag(self, tag):
    if  tag == 'tr': self.end_tr()
    elif tag == 'td': self.end_td()     
  def start_tr(self):
    if self.inTR: self.end_tr() # <TR> implies </TR>
    self.inTR = 1
  def end_tr(self):
    if self.inTD: self.end_td() # </TR> implies </TD>
    self.inTR = 0      
    if len(self.CSVrow) > 0:
      self.CSV += self.CSVrow[:-1]
      self.CSVrow = ''
    self.CSV += '\n'
    self.rowCount += 1
  def start_td(self):
    if not self.inTR: self.start_tr() # <TD> implies <TR>
    self.CSVrow += '"'
    self.inTD = 1
  def end_td(self):
    if self.inTD:
      self.CSVrow += '",' 
      self.inTD = 0
  def handle_data(self, data):
    if self.inTD:
      self.CSVrow += self.re_multiplespaces.sub(' ',data.replace('\t',' ').replace('\n','').replace('\r','').replace('"','""'))
  def getCSV(self,purge=False):
    ''' Get output CSV.
      If purge is true, getCSV() will return all remaining data,
      even if <td> or <tr> are not properly closed.
      (You would typically call getCSV with purge=True when you do not have
      any more HTML to feed and you suspect dirty HTML (unclosed tags). '''
    if purge and self.inTR: self.end_tr() # This will also end_td and append last CSV row to output CSV.
    dataout = self.CSV[:]
    self.CSV = ''
    return dataout
if __name__ == "__main__":
  try: # Put getopt in place for future usage.
    opts, args = getopt.getopt(sys.argv[1:],None)
  except getopt.GetoptError:
    print usage(sys.argv[0]) # print help information and exit:
    sys.exit(2)
  if len(args) == 0:
    print usage(sys.argv[0]) # print help information and exit:
    sys.exit(2)    
  print programname
  html_files = glob.glob(args[0])
  for htmlfilename in html_files:
    outputfilename = os.path.splitext(htmlfilename)[0]+'.csv'
    parser = html2csv()
    print 'Reading %s, writing %s...' % (htmlfilename, outputfilename)
    try:
      htmlfile = open(htmlfilename, 'rb')
      csvfile = open( outputfilename, 'w+b')
      data = htmlfile.read(8192)
      while data:
        parser.feed( data )
        csvfile.write( parser.getCSV() )
        sys.stdout.write('%d CSV rows written.\r' % parser.rowCount)
        data = htmlfile.read(8192)
      csvfile.write( parser.getCSV(True) )
      csvfile.close()
      htmlfile.close()
    except:
      print 'Error converting %s    ' % htmlfilename
      try:  htmlfile.close()
      except: pass
      try:  csvfile.close()
      except: pass
  print 'All done. '

希望本文所述对大家的Python程序设计有所帮助。

相关文章

python多线程同步实例教程

python多线程同步实例教程

前言 进程之间通信与线程同步是一个历久弥新的话题,对编程稍有了解应该都知道,但是细说又说不清。一方面除了工作中可能用的比较少,另一方面就是这些概念牵涉到的东西比较多,而且相对较深。网络编...

Python 变量类型详解

Python 变量类型详解

变量存储在内存中的值。这就意味着在创建变量时会在内存中开辟一个空间。 基于变量的数据类型,解释器会分配指定内存,并决定什么数据可以被存储在内存中。 因此,变量可以指定不同的数据类型,这些...

Django实现网页分页功能

Django实现网页分页功能

本文实例为大家分享了Django实现分页功能,为了容易区别功能的展现,先创建一个数据库,用数据库中的数据做演示。 创建数据库步骤如下: 1.创建模型,代码如下: from djang...

pandas factorize实现将字符串特征转化为数字特征

pandas factorize实现将字符串特征转化为数字特征

将原始数据中的字符串特征转化为模型可以识别的数字特征可是使用pandas自带的factorzie方法。 原始数据的job特征值如下 都是字符串特征,无法用于训练,当然可以单独建立map...

Python+OpenCV图片局部区域像素值处理改进版详解

Python+OpenCV图片局部区域像素值处理改进版详解

上个版本的Python OpenCV图片局部区域像素值处理,虽然实现了我需要的功能,但还是走了很多弯路,我意识到图片本就是数组形式,对于8位灰度图,通道数为1,它就是个二位数组,这样就没...