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POformatting python output file in such a way that columns can be accessed later
 

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  1. POformatting python output file in such a way that columns can be accessed later
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    <p>In the program I am working on I am reading in data from a .xls filethat looks like this</p> <pre><code>2012-SEP-27 04:35:00 0.035173 0.019666 0.001566 -0.002356 0.028054 0.009819 -9999.000000 0.036353 0.021943 0.003582 -0.0006520.025411 0.009548 -9999.000000 0.035703 0.019268 0.003582 -0.0005340.040426 0.010700 -9999.000000 56.904729 95.722267 7.827207 </code></pre> <p>braking it into columns doing some screening of the numbers (this includes grouping certain columns together into 'filters') and then trying to write it back to another .xls file. I can write it to a file fine and the output file <em>looks</em> the same as the input file, but when I try to access separate columns I either can't (it sees the whole thing as a column) or I can only access it character by character. </p> <p>I've tried formatting the output a number of ways including:</p> <pre><code>AA = ('{0} {1} {2} {3} {4} {5} {6} {7} {8} {9} {10} {11} {12} {13} {14} {15} {16} {17} {18} {19} {20} {21} {22} {23} {24} {25}'.format(date, time, filter1[0], filter1[1], filter1[2], filter2[0], filter2[1], filter2[2], filter3[0], filter3[1], filter3[2], filter4[0], filter4[1], filter4[2], filter5[0], filter5[1], filter5[2], filter6[0], filter6[1], filter6[2], filter7[0], filter7[1], filter7[2], LZA, SZA, LAM) + '\n') AA = [date, time, float(filter1[0]), float(filter1[1]), float(filter1[2]), filter2[0], filter2[1], filter2[2], filter3[0], filter3[1], filter3[2], filter4[0], filter4[1], filter4[2], filter5[0], filter5[1], filter5[2], filter6[0], filter6[1],filter6[2], filter7[0], filter7[1],filter7[2],LZA, SZA, LAM] AA = [(date, time, filter1[0], filter1[1], filter1[2], filter2[0], filter2[1], filter2[2], filter3[0], filter3[1], filter3[2], filter4[0], filter4[1], filter4[2], filter5[0], filter5[1], filter5[2], filter6[0], filter6[1], filter6[2], filter7[0], filter7[1], filter7[2], LZA, SZA, LAM)] </code></pre> <p>I'm looking for some general help on writing data into a file in such a way that it is accessible by columns, the code I'm working on is hard to explain concisely so general examples are fine. I am new to python and appreciate your help and patience </p> <p>edit</p> <pre><code> writer = csv.writer(outputfile, delimiter = '\t') row = [date, time] row.extend(map(float, filter1)) for filter in (filter2, filter3, filter4, filter5, filter6, filter7): row.extend(filter) row.extend([LZA, SZA, LAM]) writer.writerow(row) </code></pre> <p>gives me an output that looks like</p> <pre><code>2012-SEP-27 04:35:00 -9999.0 -9999.0 -9999.0 -9999.0 -9999.0 -9999.0 -9999.0 -9999.0 -.0 56.904729 95.722267 "7.827207 " 2012-SEP-27 04:39:00 -9999.0 -9999.0 -9999.0 -9999.0 -9999.0 -9999.0 -9999.0 -9999.0 0.0 -9999.0 56.007862 96.708467 "1.784808 " 2012-SEP-27 04:43:00 0.036885 0.038065 0.047741 0.021099 0.0 0.035384 0.034978 0.045806 0.019952 0.013064 0.021955 " 2012-SEP-27 04:47:00 0.038996 0.039075 0.04026 0.020357 0.012688 .036156 0.033027 0.011406 0.011693 0.011979 -9999.0 -9999.0 -9999.0 5 " 2012-SEP-27 04:51:00 -9999.0 -9999.0 -9999.0 0.019505 0.016133 0.018253 146 0.043547 0.012732 0.014486 0.015731 -9999.0 -9999.0 -9999.0 5 " </code></pre> <p>I am trying to access each column using</p> <pre><code>from __future__ import division import csv v = open("Pt_2_Test_Data.csv", 'wb') with open("outputfile.csv", 'rb') as w: reader = csv.reader(w, delimiter = '\t', quotechar = '|') for row in w: columns = row.split(',') date = columns[0] time = columns[1] </code></pre> <p>print date will give me the dates, however anything other then columns[0] gives this error</p> <pre><code> time = columns[1] IndexError: list index out of range </code></pre>
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    1. COAre you using Python 2 or 3?
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      1. POformatting python output file in such a way that columns can be accessed later
      1. USMartijn Pieters
    2. COHave you considered installing Pandas? I use it very frequently for tabular data, in conjunction with the iPython HTML notebook, and it has proven useful for slicing and dicing data. It also provides a few simple functions (e.g. `.to_csv('filename.csv')`) for easy writing of data to CSV format. Buzz me if you'd like help getting started with it.
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      1. POformatting python output file in such a way that columns can be accessed later
      1. USericmjl
 

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