python中有一个元素列表,格式如下:
['96\t00:00:00:19\t-16,894725\t15,201475\t26,976\t52,471\t10,081275\t42,177475\t32,0962']
['97\t00:00:00:19\t-17,007775\t15,198775\t26,979\t52,471\t9,971225\t42,177775\t32,20655']
['98\t00:00:00:19\t-17,010475\t15,204175\t26,977\t52,471\t9,966525\t42,181175\t32,21465']
['99\t00:00:00:19\t-16,9997\t15,1907\t26,981\t52,473\t9,9813\t42,1717\t32,1904']
['100\t00:00:00:20\t-17,0024\t15,17995\t26,979\t52,476\t9,9766\t42,15895\t32,18235']
更新:
我使用以下代码:
import os
import csv
dirlisting=os.listdir(os.getcwd())
for fname in dirlisting:
if fname.endswith(".csv"):
print "Processing: " + fname
fi=open(fname, 'rb')
data=fi.read()
fi.close()
fo=open(fname, 'wb')
fo.write(data.replace('\x00', ''))
fo.close()
with open(fname, 'rb') as csvfile:
sreader=csv.reader(csvfile, delimiter=' ')
rows=[r for r in sreader]
for row in range(6, len(rows)):
print rows[row]
我需要拆分这些列表元素或以其他形式转换它们,以便可以进一步处理它们。
答案 0 :(得分:2)
什么分隔符?您是否看到所有字符串都可以使用split()
方法?
答案 1 :(得分:1)
如果您使用\t
作为分隔符,则只需更改行
sreader = csv.reader(csvfile, delimiter=' ')
到
sreader = csv.reader(csvfile, delimiter='\t')
无需后期处理。
答案 2 :(得分:0)
我假设你拥有的是一个字符串列表,而不是你在问题中放入的一系列单元素列表。你可以这样做:
strings = ['96\t00:00:00:19\t-16,894725\t15,201475\t26,976\t52,471\t10,081275\t42,177475\t32,0962',
'97\t00:00:00:19\t-17,007775\t15,198775\t26,979\t52,471\t9,971225\t42,177775\t32,20655',
'98\t00:00:00:19\t-17,010475\t15,204175\t26,977\t52,471\t9,966525\t42,181175\t32,21465',
'99\t00:00:00:19\t-16,9997\t15,1907\t26,981\t52,473\t9,9813\t42,1717\t32,1904',
'100\t00:00:00:20\t-17,0024\t15,17995\t26,979\t52,476\t9,9766\t42,15895\t32,18235']
split_strings = [string.split('\t') for string in strings]
这将产生一个列表列表:
[['96', '00:00:00:19', '-16,894725', '15,201475', '26,976', '52,471', '10,081275', '42,177475', '32,0962'],
['97', '00:00:00:19', '-17,007775', '15,198775', '26,979', '52,471', '9,971225', '42,177775', '32,20655'],
['98', '00:00:00:19', '-17,010475', '15,204175', '26,977', '52,471', '9,966525', '42,181175', '32,21465'],
['99', '00:00:00:19', '-16,9997', '15,1907', '26,981', '52,473', '9,9813', '42,1717', '32,1904'],
['100', '00:00:00:20', '-17,0024', '15,17995', '26,979', '52,476', '9,9766', '42,15895', '32,18235']]
我希望这可以帮助你开始。