怎么样删除python list里面的","

比如有这么一段，想要删除","，这应该怎么来处理？

[{"title": [["", " ", " Funny CAT = Funny cats in water, EPIC", " ", " ", " ", " Very Funny Cats!!", " ", " ", " ", " Cute Funny Cats Fail Compilation - 2013", " ", " ", " ", " 100 Funny Cats 2", " ", " ", " ", " Cats are terribly afraid of the water", " ", " ", " ", " NEW very funny cats!The Best!", " ", " ", " ", " The Best of funny and sweet Cats 2012 NEW", " ", " ", " ", " Funny Cats part 2 (WAR CATS!!)", " ", " ", " ", " Funny cats XD", " ", " ", " ", " Funny Cats Compilation (Hilarious)", " ", " ", " ", " 20 Minutes of Funny Cats!!!!", " ", " ", " ", " Funny Cats Compilation 2013 - Funny Cats Compilation", " ", " ", " ", " Funny Cats In Funny Cats Video When Toast Attacks", " ", " ", " ", " FUNNY ANIMALS VIDEO - FUNNY CATS STONED..", " ", " ", " ", " Funny Dogs & Cats Unusual - Ugly? Beauty is in the eye of the beholder.", " ", " ", " ", " Funny Cats Video Compilations-", " ", " ", " ", " Funny Cats. Little fail of Kitten", " ", " ", " ", " Funny CAT = Kitten miscalculates jump funny video cats", " ", " ", " ", " Funny Cats - Two kittens Playing with a Ball", " ", " ", " ", " Funny Cats Episode 1", " ", " "]]},

第 1 条附言 2013-08-31 09:06:45 +08:00

我是用
video['title'] = [''.join(app.select('./li/div/h3//text()').extract_unquoted()).split('\n')]

在抓取网页头的时候得到这组数据的，如果不用split('\n')则会有很多个无用的\n,但是我又要保证每两个\n之间的字符串与其他的字符串分开，因为生成的是json，我需要与另一条命令

video['link'] = app.select('./li/div/h3/a/@src').extract

生成的json串对应起来

funny

cats

5 条回复 1970-01-01 08:00:00 +08:00

avichen

2013-08-31 06:22:42 +08:00

list.remove(",")
当然先要判断一下是否存在",",然后再remove。

ahxxm

2013-08-31 06:22:53 +08:00 via Android

[item for item in list if item != ","]

9hills

2013-08-31 06:31:32 +08:00

你们都没理解lz想要做什么，不是说list的内容里有',' ，而是lz想把list 打印出来，不含','。。

Python list拼接推荐用join，很好理解
String.join(list)，就是将list的各个元素以字符串String（可以为空）拼接起来

lz的例子显然是这样的
''.join(['sdfdsf','sdfsdf',' ', 'sdfdsf'])

brucebot

2013-08-31 08:17:17 +08:00

detailyang

2013-08-31 09:00:33 +08:00

生成json最好用extract[0],不然json.loads会无法解析....同时记得判断数据是否存在,