我有下表，这是task-spooler的输出。
它很容易为人类解析，但我有麻烦阅读到PandasDF。
有什么想法吗？
ID State Output E-Level Times(r/u/s) Command [run=1/2]
6 running /tmp/ts-out.FzVneG [l1]python infloop.py
0 finished /tmp/ts-out.ixWHm2 0 0.00/0.00/0.00 bash -c echo 1
1 finished /tmp/ts-out.ZzwS11 0 0.00/0.00/0.00 bash -c echo 1
2 finished /tmp/ts-out.GJlyge 2 0.00/0.00/0.00 bash -c
4 finished /tmp/ts-out.lIVMYH 2 0.00/0.00/0.00 bash -c -h
5 finished /tmp/ts-out.8EKHy1 -1 141.23/0.00/0.00 python infloop.py
3 finished /tmp/ts-out.lBr4Wy -1 2545.36/0.00/0.02 bash -c python infloop.py
7 finished /tmp/ts-out.kxCczi 2 0.01/0.00/0.00 bash -c
8 finished /tmp/ts-out.3VkfNh 0 0.00/0.00/0.00 echo
9 finished /tmp/ts-out.8ewxzl 0 0.01/0.00/0.00 echo
10 finished /tmp/ts-out.ahSLaY 0 0.00/0.00/0.00 bash -c echo $GPUID
11 finished /a/home/cc/cs/yuvval/tmp/ts-out.3dpaBO 0 0.00/0.00/0.00 bash -c ls
12 finished /tmp/ts-out.ADWkve 0 0.00/0.00/0.00 bash -c ls
13 finished /a/home/cc/cs/yuvval/tmp/ts-out.xm0jtn -1 130.67/0.00/0.02 bash -c python infloop.py
14 finished /tmp/ts-out.HxBqkm 0 0.00/0.00/0.00 bash -c echo 11
15 finished /tmp/ts-out.ERNuaE 0 0.00/0.00/0.00 bash -c echo
16 finished /tmp/ts-out.9j6hkS 0 0.00/0.00/0.00 bash -c echo $GPUID
17 finished /tmp/ts-out.Y5QDNa 0 0.00/0.00/0.00 bash -c echo $GPUID
18 finished /tmp/ts-out.EIHhoX -1 0.00/0.00/0.00 %s
19 finished /tmp/ts-out.LLw2Wl -1 0.00/0.00/0.00
20 finished /tmp/ts-out.deWAJR -1 0.01/0.00/0.00 echo $GPUID
21 finished /tmp/ts-out.AdZFIf -1 0.00/0.00/0.00 echo 12
22 finished /tmp/ts-out.NBOCVv 0 0.00/0.00/0.00 echo 12
23 finished /tmp/ts-out.5WpfPu 0 0.00/0.00/0.00 echo
24 finished /tmp/ts-out.1lw4bS -1 0.00/0.00/0.00 echo
25 finished /tmp/ts-out.7MNGLQ 0 0.00/0.00/0.00 bash -c echo $GPUID
26 finished /tmp/ts-out.8FZ3on 0 0.00/0.00/0.00 bash -c echo $GPUID我最好的尝试是：
from StringIO import StringIO as sIO
std = ... # the table text
pd.read_table(sIO(std), sep='\s+', engine='python')错误代码：
ValueError：第2行中预期有7个字段，结果为9
生成该表的源代码是可用的。下面是生成每一行的命令。这可以帮助阅读表到一个框架吗？
if (p->label)
snprintf(line, maxlen, "%-4i %-10s %-20s %-8i %0.2f/%0.2f/%0.2f %s[%s]"
"%s\n",
p->jobid,
jobstate,
output_filename,
p->result.errorlevel,
p->result.real_ms,
p->result.user_ms,
p->result.system_ms,
dependstr,
p->label,
p->command);
else
snprintf(line, maxlen, "%-4i %-10s %-20s %-8i %0.2f/%0.2f/%0.2f %s%s\n",
p->jobid,
jobstate,
output_filename,
p->result.errorlevel,
p->result.real_ms,
p->result.user_ms,
p->result.system_ms,
dependstr,
p->command);
1条答案
按热度按时间qoefvg9y1#
这有点烦人，但由于输出日志中的分隔符不一致（有时是多个空格，有时是制表符，最后一列通常只有一个空格），因此在使用pandas解析文件之前，如果没有任何额外的逻辑，很难解析。我个人不喜欢在python中打开文件来修复它，然后用pandas加载它，所以我只需要在python中加载文件之前添加一个简短的
sed命令到我的管道中（如果你使用Linux并且日志文本是从文件中加载的，这非常简单）。您可以添加：然后，您只需用逗号替换所有空格以及最后一个有问题的空格。然后，文本从：
对此：
然后将其作为CSV加载到pandas中：
很抱歉，这不是一个有趣的纯python解决方案，但在我看来，bash部分使python部分变得更容易。