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python: add small example to README.
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@ -6,4 +6,24 @@ DataFrame object. See `help(gnuparallel.load)` for details.
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Installation:
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`python setup.py install`
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# python setup.py install
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Sample usage:
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1. Generate some results files by running parallel from the command line:
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# mkdir outdir
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# parallel --results outdir/ echo {arg1} {arg2} ::: arg1 1 2 ::: arg2 three four
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2. Load the results using the gnuparallel Python package:
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# python
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Python 2.7.3 (default, Apr 24 2012, 00:00:54)
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[GCC 4.7.0 20120414 (prerelease)] on linux2
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Type "help", "copyright", "credits" or "license" for more information.
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>>> import gnuparallel
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>>> help(gnuparallel.load)
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>>> myresults = gnuparallel.load('outdir')
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See documentation for the pandas project (http://pandas.pydata.org/) for
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instructions on how to access and manipulate the loaded results.
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