在pandas中将数据帧保存为csv/文本文件，无需行号

Question

我用pandas中的文本文件创建了一个数据框。在

df = pd.read_table('inputfile.txt',names=['Line'])

当我这样做时df

^{pr2}$

现在我想将这个文件另存为csv

df.to_csv('outputfile')

我得到的结果是

0,17/08/31 13:24:48 INFO spark.SparkContext: Running Spark version 1.6.0
1,17/08/31 13:24:49 INFO spark.SecurityManager: Changing view acls to: user1
2,17/08/31 13:24:49 INFO spark.SecurityManager: Changing modify acls to: user1
3,17/08/31 13:24:49 INFO spark.SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(user1);
4,17/08/31 13:24:49 INFO util.Utils: Successfully started service 'sparkDriver' on port 17101.
5,17/08/31 13:24:49 INFO slf4j.Slf4jLogger: Slf4jLogger started
6,17/08/31 13:24:49 INFO Remoting: Starting remoting
7,17/08/31 13:24:50 INFO Remoting: Remoting started; listening on addresses :
8,17/08/31 13:24:50 INFO Remoting: Remoting now listens on addresses: 
9,17/08/31 13:24:50 INFO util.Utils: Successfully started service 'sparkDriverActorSystem' on port 100033.

我希望我的输出是

17/08/31 13:24:48 INFO spark.SparkContext: Running Spark version 1.6.0
17/08/31 13:24:49 INFO spark.SecurityManager: Changing view acls to: user1
17/08/31 13:24:49 INFO spark.SecurityManager: Changing modify acls to: user1
17/08/31 13:24:49 INFO spark.SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(user1);
17/08/31 13:24:49 INFO util.Utils: Successfully started service 'sparkDriver' on port 17101.
17/08/31 13:24:49 INFO slf4j.Slf4jLogger: Slf4jLogger started
17/08/31 13:24:49 INFO Remoting: Starting remoting
17/08/31 13:24:50 INFO Remoting: Remoting started; listening on addresses :
17/08/31 13:24:50 INFO Remoting: Remoting now listens on addresses: 
17/08/31 13:24:50 INFO util.Utils: Successfully started service 'sparkDriverActorSystem' on port 100033.

我已经尝试了一些类似下面的方法，但仍然得到了相同的结果不是我想要的输出。在

np.savetxt(r'np.txt', df.Line, fmt='%d')

df.to_csv(sep=' ', index=False, header=False)

Answer 1

看起来这个数字可能是Line列中字符串的一部分。可以使用以下命令将前导数字和空格替换为空，并将其输出到不带索引的文件中：

df.Line.str.replace('^\d+ +','').to_csv('outputfile.csv', index=False, header=False)