python实现将html表格转换成CSV文件的方法

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。

(0)

相关推荐

  • python获得两个数组交集、并集、差集的方法

    本文实例讲述了python获得两个数组交集.并集.差集的房部分.分享给大家供大家参考.具体如下: 1. 获取两个list 的交集 #方法一: a=[2,3,4,5] b=[2,5,8] tmp = [val for val in a if val in b] print tmp #[2, 5] #方法二 print list(set(a).intersection(set(b))) 2. 获取两个list 的并集 print list(set(a).union(set(b))) 3. 获取两个

  • Python写入CSV文件的方法

    本文实例讲述了Python写入CSV文件的方法.分享给大家供大家参考.具体如下: # _*_ coding:utf-8 _*_ #xiaohei.python.seo.call.me:) #win+python2.7.x import csv csvfile = file('csvtest.csv', 'wb') writer = csv.writer(csvfile) writer.writerow(['id', 'url', 'keywords']) data = [ ('1', 'http

  • Python求两个list的差集、交集与并集的方法

    本文实例讲述了Python求两个list的差集.交集与并集的方法.分享给大家供大家参考.具体如下: list就是指两个数组之间的差集,交集,并集了,这个小学数学时就学过的东西,下面就以实例形式对此加以分析. 一.两个list差集 如有下面两个数组: a = [1,2,3] b = [2,3] 想要的结果是[1] 下面记录一下三种实现方式: 1. 正常的方式 复制代码 代码如下: ret = [] for i in a:     if i not in b:         ret.append(

  • 在Python的Django框架中生成CSV文件的方法

    CSV 是一种简单的数据格式,通常为电子表格软件所使用. 它主要是由一系列的表格行组成,每行中单元格之间使用逗号(CSV 是 逗号分隔数值(comma-separated values) 的缩写)隔开.例如,下面是CSV格式的"不守规矩"的飞机乘客表. Year,Unruly Airline Passengers 1995,146 1996,184 1997,235 1998,200 1999,226 2000,251 2001,299 2002,273 2003,281 2004,3

  • Python实现求两个csv文件交集的方法

    本文实例讲述了Python实现求两个csv文件交集的方法.分享给大家供大家参考,具体如下: #!/usr/bin/env python rd3 = open('data_17_17_2.csv') base = open('data_17_17_3.csv') wr3 = open('delNoBuyed3DayAndStoreAndInCar4.5.2.csv','w+') bsData = base.readlines() i = 1 for key in rd3: if key in bs

  • Python 两个列表的差集、并集和交集实现代码

    ①差集 方法一: if __name__ == '__main__': a_list = [{'a' : 1}, {'b' : 2}, {'c' : 3}, {'d' : 4}, {'e' : 5}] b_list = [{'a' : 1}, {'b' : 2}] ret_list = [] for item in a_list: if item not in b_list: ret_list.append(item) for item in b_list: if item not in a_l

  • Python程序中用csv模块来操作csv文件的基本使用教程

    CSV全称为"Comma Separated Values",是一种格式化的文件,由行和列组成,分隔符可以根据需要来变化. 如下面为一csv文件: Title,Release Date,Director And Now For Something Completely Different,1971,Ian MacNaughton Monty Python And The Holy Grail,1975,Terry Gilliam and Terry Jones Monty Python

  • Python求两个文本文件以行为单位的交集、并集与差集的方法

    本文实例讲述了Python求两个文本文件以行为单位的交集.并集与差集的方法.分享给大家供大家参考.具体实现方法如下: s1 = set(open('a.txt','r').readlines()) s2 = set(open('b.txt','r').readlines()) print 'ins: %s'%(s1.intersection(s2)) print 'uni: %s'%(s1.union(s2)) print 'dif: %s'%(s1.difference(s2).union(s

  • python读取csv文件示例(python操作csv)

    复制代码 代码如下: import csvfor line in open("test.csv"):name,age,birthday = line.split(",")name = name.strip(' \t\r\n');age = age.strip(' \t\r\n');birthday = birthday.strip(' \t\r\n'); print (name + '\t' + age + '\t' + birthday) csv文件 复制代码 代

  • Python操作csv文件实例详解

    一.Python读取csv文件 说明:以Python3.x为例 #读取csv文件方法1 import csv csvfile = open('csvWrite.csv',newline='')#打开一个文件 csvReader = csv.reader(csvfile)#返回的可迭代类型 print(type(csvReader)) for content in csvReader: print(content) csvfile.close()#关闭文件 //运行结果如下: <class '_c

  • Python导出数据到Excel可读取的CSV文件的方法

    本文实例讲述了Python导出数据到Excel可读取的CSV文件的方法.分享给大家供大家参考.具体实现方法如下: import csv with open('eggs.csv', 'wb') as csvfile: #spamwriter = csv.writer(csvfile, delimiter=' ',quotechar='|', #quoting=csv.QUOTE_MINIMAL) spamwriter = csv.writer(csvfile, dialect='excel') s

随机推荐