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        "description": "txt2xls\n==========================\n.. image:: https://secure.travis-ci.org/lambdalisue/txt2xls.png?branch=master\n    :target: http://travis-ci.org/lambdalisue/txt2xls\n    :alt: Build status\n\n.. image:: https://coveralls.io/repos/lambdalisue/txt2xls/badge.png?branch=master\n    :target: https://coveralls.io/r/lambdalisue/txt2xls/\n    :alt: Coverage\n\n.. image:: https://pypip.in/d/txt2xls/badge.png\n    :target: https://pypi.python.org/pypi/txt2xls/\n    :alt: Downloads\n\n.. image:: https://pypip.in/v/txt2xls/badge.png\n    :target: https://pypi.python.org/pypi/txt2xls/\n    :alt: Latest version\n\n.. image:: https://pypip.in/wheel/txt2xls/badge.png\n    :target: https://pypi.python.org/pypi/txt2xls/\n    :alt: Wheel Status\n\n.. image:: https://pypip.in/egg/txt2xls/badge.png\n    :target: https://pypi.python.org/pypi/txt2xls/\n    :alt: Egg Status\n\n.. image:: https://pypip.in/license/txt2xls/badge.png\n    :target: https://pypi.python.org/pypi/txt2xls/\n    :alt: License\n\ntxt2xls convert raw text data files into a single excel file.\nIt use `maidenhair <https://github.com/lambdalisue/maidenhair>`_ for reading raw\ntext files so any kind of raw text file can be used if there is a maidenhair\nplugins.\n\nInstallation\n------------\nUse pip_ like::\n\n    $ pip install txt2xls\n\n.. _pip:  https://pypi.python.org/pypi/pip\n\nQuick Usage\n-------------\nAssume there are several raw text data files like::\n\n    # Sample1.txt\n    0 10\n    1 20\n    2 30\n    3 40\n    4 50\n    5 60\n    # Sample2.txt\n    0 15\n    1 25\n    2 35\n    3 45\n    4 55\n    5 65\n    # Sample3.txt\n    0 12\n    1 22\n    2 32\n    3 42\n    4 52\n    5 62\n\nThen run *txt2xls* with\n\n    % txt2xls -o output Sample*.txt\n\nIt will produce ``output.xls`` file.\nThe excel file have ``Sample1``, ``Sample2``, and ``Sample3`` sheets.\n\nUsage\n------\n\n::\n\n    usage: txt2xls [-h] [-v] [-p PARSER] [-l LOADER] [-u USING] [--unite]\n                [--unite-basecolumn UNITE_BASECOLUMN]\n                [--unite-function UNITE_FUNCTION] [--classify]\n                [--classify-function CLASSIFY_FUNCTION] [--relative]\n                [--relative-origin RELATIVE_ORIGIN]\n                [--relative-basecolumn RELATIVE_BASECOLUMN] [--baseline]\n                [--baseline-basecolumn BASELINE_BASECOLUMN]\n                [--baseline-function BASELINE_FUNCTION]\n                [--peakset-method {argmax,argmin}]\n                [--peakset-basecolumn PEAKSET_BASECOLUMN]\n                [--peakset-where-function PEAKSET_WHERE_FUNCTION]\n                [--raise-exception] [-o OUTFILE]\n                infiles [infiles ...]\n\n    positional arguments:\n    infiles               Path list of data files or directories which have data\n                            files.\n\n    optional arguments:\n    -h, --help            show this help message and exit\n    -v, --version         show program's version number and exit\n    --raise-exception     If it is specified, raise exceptions.\n    -o OUTFILE, --outfile OUTFILE\n                            An output filename without extensions. The required\n                            filename extension will be automatically determined\n                            from an output format.\n\n    Reading options:\n    -p PARSER, --parser PARSER\n                            A maidenhair parser name which will be used to parse\n                            the raw text data.\n    -l LOADER, --loader LOADER\n                            A maidenhair loader name which will be used to load\n                            the raw text data.\n    -u USING, --using USING\n                            A colon (:) separated column indexes. It is used for\n                            limiting the reading columns.\n\n    Unite options:\n    --unite               Join the columns of classified dataset with respecting\n                            --unite-basecolumn.The dataset is classified with\n                            --unite-function.\n    --unite-basecolumn UNITE_BASECOLUMN\n                            An index of columns which will be used as a base\n                            column for regulating data point region.\n    --unite-function UNITE_FUNCTION\n                            A python script file path or a content of python\n                            lambda expression which will be used for classifing\n                            dataset. If it is not spcified, a filename character\n                            before period (.) will be used to classify.\n\n    Classify options:\n    --classify            Classify dataset with --classify-function. It will\n                            influence the results of --relative and --baseline.\n    --classify-function CLASSIFY_FUNCTION\n                            A python script file path or a content of python\n                            lambda expression which will be used for classifing\n                            dataset. If it is not specified, a filename character\n                            before the last underscore (_) will be used to\n                            classify.\n\n    Relative options:\n    --relative            If it is True, the raw data will be converted to\n                            relative data from the specified origin, based on the\n                            specified column. See `--relative-origin` and\n                            `--relative-basecolumn` also.\n    --relative-origin RELATIVE_ORIGIN\n                            A dataset number which will be used as an orign of the\n                            relative data. It is used with `--relative` option.\n    --relative-basecolumn RELATIVE_BASECOLUMN\n                            A column number which will be used as a base column to\n                            make the data relative. It is used with `--relative`\n                            option.\n\n    Baseline options:\n    --baseline            If it is specified, the specified data file is used as\n                            a baseline of the dataset. See `--baseline-basecolumn`\n                            and `--baseline-function` also.\n    --baseline-basecolumn BASELINE_BASECOLUMN\n                            A column index which will be proceeded for baseline\n                            regulation. It is used with `--baseline` option.\n    --baseline-function BASELINE_FUNCTION\n                            A python script file path or a content of python\n                            lambda expression which will be used to determine the\n                            baseline value from the data. `columns` and `column`\n                            variables are available in the lambda expression.\n\n    Peakset options:\n    --peakset-method {argmax,argmin}\n                            A method to find peak data point.\n    --peakset-basecolumn PEAKSET_BASECOLUMN\n                            A column index which will be used for finding peak\n                            data point.\n    --peakset-where-function PEAKSET_WHERE_FUNCTION\n                            A python script file path or a content of python\n                            lambda expression which will be used to limit the\n                            range of data points for finding. peak data point.\n                            `data` is available in the lambda expression.\n\nPreference\n-----------\nYou can create configure file as ``~/.config/txt2xls/txt2xls.cfg`` (Linux),\n``~/.txt2xls.cfg`` (Mac), or ``%APPDATA%\\txt2xls\\txt2xls.cfg`` (Windows).\n\nThe default preference is equal to the configure file as below::\n\n    [default]\n    raise_exception = False\n\n    [reader]\n    parser = 'parsers.PlainParser'\n    loader = 'loaders.PlainLoader'\n    using = None\n\n        [[classify]]\n        enabled = False\n        function = 'builtin:classify_function'\n\n        [[unite]]\n        enabled = False\n        function = 'builtin:unite_function'\n        basecolumn = 0\n\n        [[relative]]\n        enabled = False\n        origin = 0\n        basecolumn = 1\n\n        [[baseline]]\n        enabled = False\n        function = 'builtin:baseline_function'\n        basecolumn = 1\n\n    [writer]\n    default_filename = 'output.xls'\n\n        [[peakset]]\n        method = 'argmax'\n        basecolumn = -1\n        where_function = 'builtin:where_function'\n\nI don't use Microsoft Windows so the location of the configure file in Windows\nmight be wrong.\nLet me know if there are any mistakes.",
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