python csv headers [英] python csv headers
本文介绍了python csv headers的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
问题描述
我有一组csv头,我想与上传匹配,它不是真的工作。
reader = csv.DictReader(open(PathFile))
header = reader.fieldnames
用于sorted(set(headers))中的头:
if(header =='ip')或(header =='IP'):
打印在标题中找到IP
在这种情况下,IP不是
在读取器中的行:
如果row.get('IP'):
print在行中找到IP
未找到。我在这个网站上搜索过,有:
IP = row.get('IP',None)
<
uplaod文件,我用
测试它。pre>
<
电子邮件,IP,名称,城市,州,邮政编码,国家,垃圾
ghfddgf@gfgs.com, chicago,il,60601,us,erw ewr
5t4g@fdsf.com,34.45.23.34,Mr 5t,NY,NY,10101,us,er
解决方案根据您的编辑,您需要跳过逗号后的初始空格。
这样做:
>>> reader = csv.DictReader(open(PathFile),skipinitialspace = True)
I have set of csv headers that i am trying to match with uploads, it's not really working. Not all headers are required, just have to match what's in file
reader = csv.DictReader(open(PathFile)) headers = reader.fieldnames for header in sorted(set(headers)): if (header == 'ip') or (header == 'IP'): print "IP found in Header"in this case, IP is not
for row in reader: if row.get('IP'): print "IP found in Row"not found again. I did search on this site, there was:
IP=row.get('IP', None)that did not work either.
uplaod file, i am testing it with is
Email, IP, Name, City, State, zip, country, garbage ghfddgf@gfgs.com, 34.4.34.34,Mr GH, chicago, il ,60601, us,erw ewr 5t4g@fdsf.com, 34.45.23.34, Mr 5t,NY,NY,10101, us, er
解决方案Based on your edit, you need to skip the initial space after the comma.
This should do it:
>>> reader = csv.DictReader(open(PathFile),skipinitialspace=True)
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