一段本文中既有文字，又有很多html标签，很乱，需要进行清洗，下面是用python 进行过滤辣鸡html的脚本。

# -*- coding:utf-8 -*-

import pandas as pd
import re


import jieba


def filter_tags(htmlstr):
    """
    # Python通过正则表达式去除(过滤)HTML标签
    :param htmlstr:
    :return:
    """
    # 先过滤CDATA
    re_cdata = re.compile('//<!\
    CDATA\[[ >]∗ //\
    CDATA\[[ >]∗ //\
    \] > ',re.I) #匹配CDATA
    re_script = re.compile('<\s*script[^>]*>[^<]*<\s*/\s*script\s*>', re.I)
    # Script
    re_style = re.compile('<\s*style[^>]*>[^<]*<\s*/\s*style\s*>', re.I)
    # style
    re_br = re.compile('<br\s*?/?>')
    # 处理换行
    re_h = re.compile('</?\w+[^>]*>')
    # HTML标签
    re_comment = re.compile('<!--[^>]*-->')
    # HTML注释
    s = re_cdata.sub('', htmlstr)
    # 去掉CDATA
    s = re_script.sub('', s)  # 去掉SCRIPT
    s = re_style.sub('', s)
    # 去掉style
    s = re_br.sub('\n', s)
    # 将br转换为换行
    s = re_h.sub('', s)  # 去掉HTML 标签
    s = re_comment.sub('', s)
    # 去掉HTML注释
    # 去掉多余的空行
    blank_line = re.compile('\n+')
    s = blank_line.sub('\n', s)
    s = replaceCharEntity(s)  # 替换实体
    return s



def replaceCharEntity(htmlstr):
    """
    :param htmlstr:HTML字符串
    :function:过滤HTML中的标签
    """
    CHAR_ENTITIES = {'nbsp': ' ', '160': ' ',
                     'lt': '<', '60': '<',
                     'gt': '>', '62': '>',
                     'amp': '&', '38': '&',
                     'quot': '"', '34': '"', }

    re_charEntity = re.compile(r'&#?(?P<name>\w+);')
    sz = re_charEntity.search(htmlstr)
    while sz:
        entity = sz.group()  # entity全称，如>
        key = sz.group('name')  # 去除&;后entity,如>为gt
        try:
            htmlstr = re_charEntity.sub(CHAR_ENTITIES[key], htmlstr, 1)
            sz = re_charEntity.search(htmlstr)
        except KeyError:
            # 以空串代替
            htmlstr = re_charEntity.sub('', htmlstr, 1)
            sz = re_charEntity.search(htmlstr)
    return htmlstr


def repalce(s, re_exp, repl_string):
    return re_exp.sub(repl_string,s)




def Cleaning_data(x):
    m2=str(x).replace('<p>&nbsp; &nbsp; &nbsp; &nbsp;','').replace('</p><p><br></p>','').replace('<br>','').replace('</p>','').replace('<p>','').replace('       ','').replace('[图片]','').strip()
    m3=filter_tags(m2)
    m4=replaceCharEntity(m3)
    print(m4)





if __name__ == '__main__':
    # 读取数据
    data = pd.read_csv('C:\\Users\\xiaohu\\Desktop\\香蕉球用户话题\\香蕉球用户话题.csv')
    # print(data)

    for each in data.iloc[:,3]:
        # print(each)
        Cleaning_data(each)