小编Sly*_*per的帖子

我有这个 .csv 文件...

    id,first_name,last_name,email,date,opt-in,unique_code\n    1,Jimmy,Reyes,jreyes0@macromedia.com,12/29/2016,FALSE,ER45DH\n    2,Doris,Wood,dwood1@1und1.de,04/22/2016,,MU34T3\n    3,Steven,Miller,smiller2@go.com,07/31/2016,FALSE,G34FGH\n    4,Earl,Parker,eparker3@ucoz.com,01-08-17,FALSE,ASY67J\n    5,Barbara,Cruz,bcruz4@zdnet.com,12/30/2016,FALSE,NHG67P\n

如果选择加入值为空，则应打印“0”。csv 中的最后一个值应首先打印，然后以特定格式打印所有名称、值对，如下面的预期输出文件所示。

我的预期输出

ER45DH<tab>"id"="1","first_name"="Jimmy","last_name"="Reyes","email"="jreyes0@macromedia.com","date"="12/29/2016","opt-in"="FALSE"\nMU34T3<tab>"id"="2","first_name"="Doris","last_name"="Wood","email"="dwood1@1und1.de","date"="04/22/2016,"opt-in"="0"\n.......\n

到目前为止我的代码..

import csv\n\nwith open(\'newfilename.csv\', \'w\') as f2:\n    with open(\'mycsvfile.csv\', mode=\'r\') as infile:\n        reader = csv.reader(infile)\n        for i,rows in enumerate(reader):\n            if i == 0:\n               header = rows \n            else:\n                if rows[5] == \'\':\n                   rows[5] = 0;\n                pat = rows[0]+\'\\t\'+\'\'\'"%s"="%%s",\'\'\'*(len(header)-2)+\'\'\'"%s"="%%s"\xe2\x80\x8c\xe2\x80\x8b\\n\'\'\'\n                print pat\n                f2.write(pat % tuple(header[1:]) % tuple(rows[1:]))\n    f2.close()\n

此代码产生此输出

1   "first_name"="Jimmy","last_name"="Reyes","email"="jreyes0@macromedia.com","date"="12/29/2016","opt-in"="FALSE","unique_code"="ASD34R"\xe2\x80\x8c\xe2\x80\x8b\n2   "first_name"="Doris","last_name"="Wood","email"="dwood1@1und1.de","date"="04/22/2016","opt-in"="0","unique_code"="SDS56N"\n

正如您所看到的，缺少“id”列，并且我希望将 unque_code 放在第一位。

我有一个类似下面的JSON

[
  {
    "Event_code": "AB-001",
    "Start_time": "11:00 AM",
    "End_time": "3:00 PM",
    "Session_type": "Tour"
  },
  {
    "Event_code": "AB-002",
    "Start_time": "09:30 AM",
    "End_time": "1:00 PM",
    "Session_type": "Course information session"
  },
  {
    "Event_code": "AB-003",
    "Start_time": "9:00 AM",
    "End_time": "3:00 PM",
    "Session_type": "General information session"
  }
]

我想要做的就是在开始时间对数组进行排序...我在这里看到了一个解决方案,但我不知道如何将它调整为我的JSON结构...

有人可以建议......!

我试图从网页上抓取数据.该网页只是2500个URL的项目符号列表.Scrapy获取并转到每个URL并获取一些数据......

这是我的代码

class MySpider(CrawlSpider):
    name = 'dknews'
    start_urls = ['http://www.example.org/uat-area/scrapy/all-news-listing']
    allowed_domains = ['example.org']

    def parse(self, response):
        hxs = Selector(response)
        soup = BeautifulSoup(response.body, 'lxml')
        nf = NewsFields()
        ptype = soup.find_all(attrs={"name":"dkpagetype"})
        ptitle = soup.find_all(attrs={"name":"dkpagetitle"})
        pturl = soup.find_all(attrs={"name":"dkpageurl"})
        ptdate = soup.find_all(attrs={"name":"dkpagedate"})
        ptdesc = soup.find_all(attrs={"name":"dkpagedescription"})
         for node in soup.find_all("div", class_="module_content-panel-sidebar-content"):
           ptbody = ''.join(node.find_all(text=True))  
           ptbody = ' '.join(ptbody.split())
           nf['pagetype'] = ptype[0]['content'].encode('ascii', 'ignore')
           nf['pagetitle'] = ptitle[0]['content'].encode('ascii', 'ignore')
           nf['pageurl'] = pturl[0]['content'].encode('ascii', 'ignore')
           nf['pagedate'] = ptdate[0]['content'].encode('ascii', 'ignore')
           nf['pagedescription'] = ptdesc[0]['content'].encode('ascii', 'ignore')
           nf['bodytext'] = ptbody.encode('ascii', 'ignore')
         yield nf
            for …