Thanks a lot. That works for me.
Chris Rebert-6 wrote:
>
> On Mon, Jun 1, 2009 at 11:45 AM, babypython <2myemailaddr...@gmail.com>
> wrote:
>>
>> I am trying to parse through this data for analysis. I am new to python
>> and
>> wondering what would be the quickest way to extract the data from this
>> file.
>> The data files consists of comments (starting with ! and #). Then, the
>> data
>> follows. All I want is the data in array ( I don't care about the
>> comments),and the data format is freq[], s11[real], s11[imag],
>> s21[real],s21[imag]
>>
>> Any help will be appreciated. Thanks.
>>
>>
>> !Date: Jan 29, 2008 14:40:26
>> !Correction: S11(Full 2 Port(1,2)) S21(Full 2 Port(1,2))
>> !Measurements: S11, S21:
>> ! Freq S11[real, imag] S21[real,imag]
>> 1400000000 -2.104572e+001 4.153887e+001 -4.084314e+001 8.417739e+001
>> 1400250000 -2.089971e+001 4.028599e+001 -4.087196e+001 7.026196e+001
>> 1400500000 -2.114216e+001 4.086434e+001 -4.055134e+001 6.559201e+001
>> 1400750000 -2.112057e+001 3.681709e+001 -4.024515e+001 5.503412e+001
>> 1401000000 -2.110984e+001 3.622524e+001 -4.056519e+001 5.162795e+001
>> 1401250000 -2.123562e+001 3.602308e+001 -4.125660e+001 4.330296e+001
>> 1401500000 -2.152193e+001 3.345480e+001 -4.035107e+001 3.937940e+001
>> 1401750000 -2.144410e+001 3.189340e+001 -4.097492e+001 2.802726e+001
>> 1402000000 -2.155891e+001 3.002732e+001 -4.146297e+001 1.666007e+001
>> 1402250000 -2.170474e+001 2.896428e+001 -4.146934e+001 1.514847e+001
>> 1402500000 -2.185459e+001 2.863795e+001 -4.053018e+001 1.130192e+001
>
> #completely untested
> data = []
> for line in the_file:
> if line.startswith("!"): continue
> fields = line.strip().split()
> datapoint = [int(fields[0]), complex(float(fields[1]),
> float(fields[2])), complex(float(fields[3]), float(fields[4]))]
> data.append(datapoint)
>
> Cheers,
> Chris
> --
> http://blog.rebertia.com
> --
> http://mail.python.org/mailman/listinfo/python-list
>
>
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