如何读取以空格和：分隔的文件
[英]How to read file delimited by space and :
问题描述
My data is of the form : 
我的数据的格式为：
1 440:0.033906222568727 730:0.0424739279722748 1523:0.0773048148348295 1893:0.0433930684646909 1440：0.033906222568727 730：0.0424739279722748 1523：0.0773048148348295 1893：0.0433930684646909
1 271:0.0646290650479301 405:0.0653366028581683 584:0.0744087075001463 770:0.0717824200677465 1 271：0.0646290650479301 405：0.0653366028581683 584：0.0744087075001463 770：0.0717824200677465
1 577:0.0679078686536282 761:0.0506946081073312 1 577：0.0679078686536282 761：0.0506946081073312
-1 440:0.0437614564467411 798:0.0370070258333617 831:0.0549176430011721 1681:0.0715035548706038 1963:0.102891965918849 2667:0.0461603813033019 2899:0.0672807783934756 -1 440：0.0437614564467411 798：0.0370070258333617 831：0.0549176430011721 1681：0.0715035548706038 1963：0.102891965918849 2667：0.0461603813033019 2899：0.0672807783934756
I want output in the form of a table: 我想要以表格形式输出：
1 440 0.033906222568727 ......
1 271 0.0646290650479301 ......
1 271 0.0646290650479301 ......
1 577 0.0679078686536282 .........
I have tried using 我尝试使用
x = pd.read_csv('rcv1_train.binary', sep = "\s+|:", engine = 'python')
and got an error: 并得到一个错误：
pandas.errors.ParserError: Expected 413 fields in line 134, saw 419. Error could possibly be due to quotes being ignored when a multi-char delimiter is used.
1 个解决方案
解决方案1
1 2018-04-08 06:19:46
You probably have bad data in line 134 第134行中的数据可能有误
try using error_bad_lines=False . 尝试使用error_bad_lines=False 。
x = pd.read_csv('rcv1_train.binary', sep = "\s+|:", engine = 'python', error_bad_lines=False)
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