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        "description": "================================\ncsvfilter - Simple CSV filtering\n================================\n\nA simple wrapper around Python's CSV module to provide a command-line tool for\nfiltering columns from a CSV file.  This is useful as standard tools like awk\ncan't easily handle the quoting and escaping used in CSV files.  \n\nBasically, it's a bit like ``cut`` but for CSVs.\n\nInstall\n-------\n\nFrom PyPi::\n\n    pip install csvfilter\n\nUse\n---\n\nPluck fields 1, 3 and 5 from ``in.csv``::\n\n    csvfilter -f 1,3,5 in.csv > out.csv\n\nPluck all fields apart from column 2 from STDIN::\n\n    cat in.csv | csvfilter -f 2 -i > out.csv\n\nConvert pipe-separated file to comma-separated (by default, output is \ncomma-separated)::\n\n    csvfilter -d\"|\" in.psv > out.csv \n\nSkip that pesky header row::\n\n    cat in.csv | csvfilter --skip=1\n\nAs you can see, CSV data can be supplied through STDIN or by running ``csvfilter`` directly on a\nfile.\n\nHelp is in the usual place::\n\n    $ csvfilter --help\n\n    Usage: csvfilter [options] [inputfile]\n\n    Source: https://github.com/codeinthehole/csvfilter/\n\n    Options:\n    -h, --help            show this help message and exit\n    -f FIELDS, --fields=FIELDS\n                            Specify which fields to pluck\n    -s SKIP, --skip=SKIP  Number of rows to skip\n    -d DELIMITER, --delimiter=DELIMITER\n                            Delimiter of incoming CSV data\n    -q QUOTECHAR, --quotechar=QUOTECHAR\n                            Quotechar of incoming CSV data\n\n    -i, --inverse         Invert the filter - ie drop the selected fields\n    --out-delimiter=OUT_DELIMITER\n                            Delimiter to use for output\n    --out-quotechar=OUT_QUOTECHAR\n                            Quote character to use for output\n\nReport issues\n-------------\n\nUse the `Github issue tracker`_ or, better still...\n\n.. _`Github issue tracker`: https://github.com/codeinthehole/csvfilter/issues\n\nContribute\n----------\n\nAfter cloning, install the testing requirements::\n\n    pip install -r requirements.txt\n\nInstall the package in 'develop' mode to bring the executable onto your path::\n\n    ./setup.py develop\n\nRun the tests with::\n\n    nosetests\n\nand, if it helps, use the fixture files to test your amendments::\n\n    cat fixtures/au.csv | csvfilter -f 3,1,2 -s 1\n    csvfilter fixutres/au.csv -f 1,2 -i\n\nHave fun.",
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