Steven Bethard wrote:
Kent Johnson wrote:
for line in raw_data:
if line.startswith('RelevantInfo1'):
info1 = raw_data.next().strip()
elif line.startswith('RelevantInfo2'):
info2 = raw_data.next().strip()
elif line.startswith('RelevantInfo3'):
info3 = raw_data.nex
Kent Johnson wrote:
for line in raw_data:
if line.startswith('RelevantInfo1'):
info1 = raw_data.next().strip()
elif line.startswith('RelevantInfo2'):
info2 = raw_data.next().strip()
elif line.startswith('RelevantInfo3'):
info3 = raw_data.next().strip()
sc
On Thu, 3 Mar 2005 12:26:37 -0800, James Stroud <[EMAIL PROTECTED]> wrote:
> Have a look at "martel", part of biopython. The world of bioinformatics is
> filled with files with structure like this.
>
> http://www.biopython.org/docs/api/public/Martel-module.html
>
> James
Thanks for the link. Stev
On Thu, 03 Mar 2005 16:25:39 -0500, Kent Johnson <[EMAIL PROTECTED]> wrote:
> Here is another attempt. I'm still not sure I understand what form you want
> the data in. I made a
> dict -> dict -> list structure so if you lookup e.g. scores['10/11/04']['60']
> you get a list of all
> the Relevan
On Thu, 03 Mar 2005 13:45:31 -0700, Steven Bethard <[EMAIL PROTECTED]> wrote:
>
> I think if you use the non-greedy .*? instead of the greedy .*, you'll
> get this behavior. For example:
>
> py> s = """\
> ... Gibberish
> ... 53
> ... MoreGarbage
> [snip a whole bunch of stuff]
> ... RelevantInfo
Here is another attempt. I'm still not sure I understand what form you want the data in. I made a
dict -> dict -> list structure so if you lookup e.g. scores['10/11/04']['60'] you get a list of all
the RelevantInfo2 values for Relevant1='10/11/04' and Relevant2='60'.
The parser is a simple-minde
Yatima wrote:
On Thu, 03 Mar 2005 09:54:02 -0700, Steven Bethard <[EMAIL PROTECTED]> wrote:
A possible solution, using the re module:
py> s = """\
... Gibberish
... 53
... MoreGarbage
... 12
... RelevantInfo1
... 10/10/04
... NothingImportant
... ThisDoesNotMatter
... 44
... RelevantInfo2
... 22
..
I found the original paper for Martel:
http://www.dalkescientific.com/Martel/ipc9/
On Thursday 03 March 2005 12:26 pm, James Stroud wrote:
> Have a look at "martel", part of biopython. The world of bioinformatics is
> filled with files with structure like this.
>
> http://www.biopython.org/docs/a
On Thu, 03 Mar 2005 07:14:50 -0500, Kent Johnson <[EMAIL PROTECTED]> wrote:
>
> Here is a way to create a list of [RelevantInfo, value] pairs:
> import cStringIO
>
> raw_data = '''Gibberish
> 53
> MoreGarbage
> 12
> RelevantInfo1
> 10/10/04
> NothingImportant
> ThisDoesNotMatter
> 44
> RelevantInfo
Have a look at "martel", part of biopython. The world of bioinformatics is
filled with files with structure like this.
http://www.biopython.org/docs/api/public/Martel-module.html
James
On Thursday 03 March 2005 12:03 pm, Yatima wrote:
> On Thu, 03 Mar 2005 09:54:02 -0700, Steven Bethard
<[EMAI
On Thu, 03 Mar 2005 09:54:02 -0700, Steven Bethard <[EMAIL PROTECTED]> wrote:
>
> A possible solution, using the re module:
>
> py> s = """\
> ... Gibberish
> ... 53
> ... MoreGarbage
> ... 12
> ... RelevantInfo1
> ... 10/10/04
> ... NothingImportant
> ... ThisDoesNotMatter
> ... 44
> ... RelevantI
Yatima wrote:
Hey Folks,
I've got some info in a bunch of files that kind of looks like so:
Gibberish
53
MoreGarbage
12
RelevantInfo1
10/10/04
NothingImportant
ThisDoesNotMatter
44
RelevantInfo2
22
BlahBlah
343
RelevantInfo3
23
Hubris
Crap
34
and so on...
Anyhow, these "fields" repeat several times
Yatima wrote:
Hey Folks,
I've got some info in a bunch of files that kind of looks like so:
Gibberish
53
MoreGarbage
12
RelevantInfo1
10/10/04
NothingImportant
ThisDoesNotMatter
44
RelevantInfo2
22
BlahBlah
343
RelevantInfo3
23
Hubris
Crap
34
and so on...
Anyhow, these "fields" repeat several times
Hey Folks,
I've got some info in a bunch of files that kind of looks like so:
Gibberish
53
MoreGarbage
12
RelevantInfo1
10/10/04
NothingImportant
ThisDoesNotMatter
44
RelevantInfo2
22
BlahBlah
343
RelevantInfo3
23
Hubris
Crap
34
and so on...
Anyhow, these "fields" repeat several times in a give
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