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POReturn All Matching Lines in a Logfile
 

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    <p>I need some help with looping, or a better way to go about this. The answer may be obvious, but I'm new here and feel a mental block right now: I have a log file that looks like this and I am trying to match all lines with the same ID: so I can later compare the values of matched ID's. I am able to match the first lines, but then my loop seems to terminate. I am not sure what I'm doing wrong, or if there is a better approach altogether. Any help is much appreciated!</p> <p>Some notes:</p> <ul> <li>when I split the lines, the XYZ ID column is indexed at line[2], where len(line) == 11.</li> <li>I am trying to loop through the file and for each line, create an inner loop which scans the remaining lines of the file to find a 'match'.</li> <li>If a match is found, I want to return this so I can compare values</li> <li>The trouble is my code seems to break after the first match is found, thus returning only the first match found</li> </ul> <p>below is my code and a sample of the log file that I'm working with (includes some edited strings just to keep some business data private). The actual logfile includes commas, which were removed before I pasted into this forum:</p> <pre><code>f = open('t.log','r') for line in f: aline = line.replace(',','').split() if len(aline)==11: for line in f: bline = line.replace(',','').split() if len(bline)==11 and aline[2]==bline[2]: print 'a: ', aline print 'b: ', bline #t.log [13:40:19.xxx009] status ------- [13:40:19.xxx013] status XYZ -4 -5675.36 quote 449.70/- 449.78 avg 1418.84 -7474.48 0.134 -55.630 -395.148 [13:40:19.xxx021] status XYZ ID:22P00935xxx -4 3.92 quote: 0.98/ 1.02 avg: -0.98 -0.16 [13:40:19.xxx024] status XYZ ID:22C0099xxx0 -2 26.4 quote: 11.60/ 11.85 avg: -13.20 2.70 [13:40:19.xxx027] status XYZ ID:22P0099xxx0 10 -17.18 quote: 1.86/ 1.90 avg: -1.72 1.42 [13:40:19.xxx029] status XYZ ID:22C00995xxx 4 -42.5 quote: 8.20/ 8.30 avg: -10.62 -9.70 [13:40:19.xxx031] status XYZ ID:22P00995xxx 2 9.66 quote: 3.30/ 3.40 avg: 4.83 16.26 [13:40:19.xxx535] status total xx5.52 [13:41:20.xxx688] status ------- [13:41:20.xxx691] status XYZ -4 -5675.36 quote 449.83/- 449.99 avg 1418.84 -7475.32 -0.374 -213.006 -39.391 [13:41:20.xxx701] status XYZ ID:22P00935xxx -4 3.92 quote: 0.96/ 1.00 avg: -0.98 -0.08 [13:41:20.xxx704] status XYZ ID:22C0099xxx0 -2 26.4 quote: 11.65/ 11.90 avg: -13.20 2.60 [13:41:20.xxx708] status XYZ ID:22P0099xxx0 10 -17.18 quote: 1.83/ 1.87 avg: -1.72 1.12 [13:41:20.xxx712] status XYZ ID:22C00995xxx 4 -42.5 quote: 8.20/ 8.30 avg: -10.62 -9.70 [13:41:20.xxx716] status XYZ ID:22P00995xxx 2 9.66 quote: 3.30/ 3.35 avg: 4.83 16.26 [13:41:20.xxx718] status XYZ ID:22C0095xxx0 -10 35.6 quote: 5.40/ 5.50 avg: -3.56 -19.40 [13:41:20.001362] status total xx6.68 Result: $ python pnlcomp.py a: ['[13:40:19.000021]', 'statusAAPL', '130322P00435000', '-4', '3.92', 'quote:', '0.98/', '1.02', 'avg:', '-0.98', '-0.16'] b: ['[13:41:20.000701]', 'statusAAPL', '130322P00435000', '-4', '3.92', 'quote:', '0.96/', '1.00', 'avg:', '-0.98', '-0.08'] </code></pre>
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    1. USteachamantofish
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    1. COyou can't use `for line in f` twice in the same loop
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    2. CO**ahh, thank you**
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    3. COEither this isn't your actual code, or this isn't your actual sample data. The lines in `t.log` have 12 columns, not 11, and none of them have values anything close to your output…
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