社保停交后，医保处于被冻结状态，不能使用。

医疗保险指通过国家立法，按照强制性社会保险原则基本医疗保险费应由用人单位和职工个人按时足额缴纳。不按时足额缴纳的，不计个人帐户，基本医疗保险统筹基金不予支付其医疗费用。

医疗保险是为补偿疾病所带来的医疗费用的一种保险。职工因疾病、负伤、生育时，由社会或企业提供必要的医疗服务或物质帮助的社会保险。如中国的公费医疗、劳保医疗。

中国职工的医疗费用由国家、单位和个人共同负担，以减轻企业负担，避免浪费。发生保险责任事故需要进行治疗是按比例付保险金。

医疗保险在退休时必须积累一定的缴费年限(含视同缴费年限)，一般规定为20年-30年，并且实际缴费年限必须达到5年(或10年)，才可以在退休以后免费终身享受医疗保险保障待遇。如果在退休时的累计缴费年限不足规定要求，可以按当时的费率标准补交所差的医疗保险缴费年限。

职工医疗保险补缴：

一、医保机构征缴部门根据医疗保险欠费情况，建立欠费数据信息，填制《社会保险费补缴通知单》，通知参保单位补缴欠费。

二、对因筹资困难，无法一次足额缴清欠费的参保单位，医保机构征缴部门与其签订社会保险补缴协议。如欠费单位发生被兼并、分立、破产等情况时，按下列方法签订补缴协议。

1、欠费单位被兼并的，与兼并方签订补缴协议。

2、欠费单位分立的，与各分立方签订补缴协议。

3、欠费单位进入破产程序的，与清算组签订清偿协议。

4、单位被拍卖出售或租赁的，与主管部门签订补缴协议。

三、参保单位根据《社会保险费补缴通知单》或补缴协议办理补缴，医保机构征缴部门予以受理，并通知医保机构财务管理部门收款。

四、破产单位无法完全清偿的欠费，医保机构征缴部门受理单位破产清算组提出的申请，审核后送稽核监督部门处理。

五、医保机构征缴部门依据财务管理部门传来的职工医疗保险补缴欠费到账信息和稽核监督部门传来的核销信息，调整参保单位欠费信息。

import tushare as ts

df=ts.get_stock_basics()

def get_stock_basics():

    """

        获取沪深上市公司基本情况

    Return

    --------

    DataFrame

               code,代码

               name,名称

               industry,细分行业

               area,地区

               pe,市盈率

               outstanding,流通股本

               totals,总股本(万)

               totalAssets,总资产(万)

               liquidAssets,流动资产

               fixedAssets,固定资产

               reserved,公积金

               reservedPerShare,每股公积金

               eps,每股收益

               bvps,每股净资

               pb,市净率

               timeToMarket,上市日期

    """

    request = Request(ct.ALL_STOCK_BASICS_FILE)

    text = urlopen(request, timeout=10).read()

    text = text.decode('GBK')

    text = text.replace('--', '')

    df = pd.read_csv(StringIO(text), dtype={'code':'object'})

    df = df.set_index('code')

    return df

P_TYPE = {'http': 'http://', 'ftp': 'ftp://'}



DOMAINS = {'sina': 'sina.com.cn', 'sinahq': 'sinajs.cn',

           'ifeng': 'ifeng.com', 'sf': 'finance.sina.com.cn',

           'vsf': 'vip.stock.finance.sina.com.cn', 

           'idx': 'www.csindex.com.cn', '163': 'money.163.com',

           'em': 'eastmoney.com', 'sseq': 'query.sse.com.cn',

           'sse': 'www.sse.com.cn', 'szse': 'www.szse.cn',

           'oss': '218.244.146.57', 'idxip':'115.29.204.48',

           'shibor': 'www.shibor.org', 'mbox':'www.cbooo.cn'}

request = Request(ct.REPORT_URL%(ct.P_TYPE['http'], ct.DOMAINS['vsf'], ct.PAGES['fd'],year, quarter, pageNo, ct.PAGE_NUM[1]))

text = urlopen(request, timeout=10).read()

        df=ts.get_report_data(2016,4)

        #第四季度就是年报

    if df is None:

        print "None len==0"

        return False

__author__ = 'rocky'

import urllib,urllib2,StringIO,gzip

url="http://image.xitek.com/photo/2 ... ot%3B

filname=url.split("/")[-1]

req=urllib2.Request(url)

resp=urllib2.urlopen(req)

content=resp.read()

#data = StringIO.StringIO(content)

#gzipper = gzip.GzipFile(fileobj=data)

#html = gzipper.read()

f=open(filname,'w')

f.write()

f.close()

sudo gedit /etc/updatedb.conf

PRUNEPATHS="/tmp /var/spool /media /home/.ecryptfs"

1 day's raise is 10.00

2 day's raise is 21.00

3 day's raise is 33.10

4 day's raise is 46.41

5 day's raise is 61.05

Don't use BeautifulSoup, use lxml.soupparser then you're sitting on top of the power of lxml and can use the good bits of BeautifulSoup which is to deal with really broken and crappy HTML.
 
 
 
9down vote
In summary, 

lxml

 is positioned as a lightning-fast production-quality html and xml parser that, by the way, also includes a 

soupparser

 module to fall back on BeautifulSoup's functionality. 

BeautifulSoup

is a one-person project, designed to save you time to quickly extract data out of poorly-formed html or xml.
lxml documentation says that both parsers have advantages and disadvantages. For this reason, 

lxml

 provides a 

soupparser

 so you can switch back and forth. Quoting,
[quote]
BeautifulSoup uses a different parsing approach. It is not a real HTML parser but uses regular expressions to dive through tag soup. It is therefore more forgiving in some cases and less good in others. It is not uncommon that lxml/libxml2 parses and fixes broken HTML better, but BeautifulSoup has superiour support for encoding detection. It very much depends on the input which parser works better.

The downside of using this parser is that it is much slower than the HTML parser of lxml. So if performance matters, you might want to consider using soupparser only as a fallback for certain cases.

lxml

BeautifulSoup

soupparser

lxml

BeautifulSoup

lxml

[code]>>> from BeautifulSoup import UnicodeDammit



>>> def decode_html(html_string):

...     converted = UnicodeDammit(html_string, isHTML=True)

...     if not converted.unicode:

...         raise UnicodeDecodeError(

...             "Failed to detect encoding, tried [%s]",

...             ', '.join(converted.triedEncodings))

...     # print converted.originalEncoding

...     return converted.unicode



>>> root = lxml.html.fromstring(decode_html(tag_soup))

BeautifulSoup

That's it! Have fun! I wrote Beautiful Soup to save everybody time. Once you get used to it, you should be able to wrangle data out of poorly-designed websites in just a few minutes. Send me email if you have any comments, run into problems, or want me to know about your project that uses Beautiful Soup.

[code] --Leonard

[/code]

lxml has been downloaded from the Python Package Index more than two million times and is also available directly in many package distributions, e.g. for Linux or MacOS-X.

The C libraries libxml2 and libxslt have huge benefits:... Standards-compliant... Full-featured... fast. fast! FAST! ... lxml is a new Python binding for libxml2 and libxslt...

    list=[1,2,3,5,4,6,434,2323,333,99999]

    print "max of list is ",

    print max(list)