"Fabian Braennstroem" <[EMAIL PROTECTED]> wrote in message news:[EMAIL PROTECTED] > Hi, > > I would like to remove certain lines from a log files. I had > some sed/awk scripts for this, but now, I want to use python > with its re module for this task. > > Actually, I have two different log files. The first file looks > like: > > ... > 'some text' > ... > > ITER I----------------- GLOBAL ABSOLUTE RESIDUAL -----------------I > I------------ FIELD VALUES AT MONITORING LOCATION ----------I > NO UMOM VMOM WMOM MASS T EN DISS ENTH > U V W P TE ED T > 1 9.70E-02 8.61E-02 9.85E-02 1.00E+00 1.61E+01 7.65E+04 0.00E+00 > 1.04E-01-8.61E-04 3.49E-02 1.38E-03 7.51E-05 1.63E-05 2.00E+01 > 2 3.71E-02 3.07E-02 3.57E-02 1.00E+00 3.58E-01 6.55E-01 0.00E+00 > 1.08E-01-1.96E-03 4.98E-02 7.11E-04 1.70E-04 4.52E-05 2.00E+01 > 3 2.64E-02 1.99E-02 2.40E-02 1.00E+00 1.85E-01 3.75E-01 0.00E+00 > 1.17E-01-3.27E-03 6.07E-02 4.02E-04 4.15E-04 1.38E-04 2.00E+01 > 4 2.18E-02 1.52E-02 1.92E-02 1.00E+00 1.21E-01 2.53E-01 0.00E+00 > 1.23E-01-4.85E-03 6.77E-02 1.96E-05 9.01E-04 3.88E-04 2.00E+01 > 5 1.91E-02 1.27E-02 1.70E-02 1.00E+00 8.99E-02 1.82E-01 0.00E+00 > 1.42E-01-6.61E-03 7.65E-02 1.78E-04 1.70E-03 9.36E-04 2.00E+01 > ...
The pyparsing wiki includes an example (http://pyparsing.wikispaces.com/space/showimage/dictExample2.py) for parsing test data of the form: +-------+------+------+------+------+------+------+------+------+ | | A1 | B1 | C1 | D1 | A2 | B2 | C2 | D2 | +=======+======+======+======+======+======+======+======+======+ | min | 7 | 43 | 7 | 15 | 82 | 98 | 1 | 37 | | max | 11 | 52 | 10 | 17 | 85 | 112 | 4 | 39 | | ave | 9 | 47 | 8 | 16 | 84 | 106 | 3 | 38 | | sdev | 1 | 3 | 1 | 1 | 1 | 3 | 1 | 1 | +-------+------+------+------+------+------+------+------+------+ and accessing the parsed data (returned in the example in the variable 'data') as: print "data keys=", data.keys() print "data['min']=", data['min'] print "sum(data['min']) =", sum(data['min']) print "data.max =", data.max print "sum(data.max) =", sum(data.max) print "data.columns =", data.columns Giving: data keys= ['ave', 'min', 'sdev', 'columns', 'max'] data['min']= [7, 43, 7, 15, 82, 98, 1, 37] sum(data['min']) = 290 data.max = [11, 52, 10, 17, 85, 112, 4, 39] sum(data.max) = 330 data.columns = ['A1', 'B1', 'C1', 'D1', 'A2', 'B2', 'C2', 'D2'] Not too disimilar from your example. -- Paul -- http://mail.python.org/mailman/listinfo/python-list
