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        "author": "Tim Cera, P.E.",
        "author_email": "tim@cerazone.net",
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            "Intended Audience :: End Users/Desktop",
            "License :: OSI Approved :: BSD License",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 3",
            "Topic :: Scientific/Engineering",
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        "description": ".. image:: https://travis-ci.org/timcera/hspfbintoolbox.svg?branch=master\n    :target: https://travis-ci.org/timcera/hspfbintoolbox\n    :height: 20\n\n.. image:: https://coveralls.io/repos/timcera/hspfbintoolbox/badge.png?branch=master\n    :target: https://coveralls.io/r/timcera/hspfbintoolbox?branch=master\n    :height: 20\n\n.. image:: https://img.shields.io/pypi/v/hspfbintoolbox.svg\n    :alt: Latest release\n    :target: https://pypi.python.org/pypi/hspfbintoolbox\n\n.. image:: http://img.shields.io/badge/license-BSD-lightgrey.svg\n    :alt: hspfbintoolbox license\n    :target: https://pypi.python.org/pypi/hspfbintoolbox/\n\nDocumentation for hspfbintoolbox\n================================\nThe ``hspfbintoolbox`` is a Python script and library of functions to read\nHydrological Simulation Program Fortran (HSPF) binary files and print to\nscreen.  The time series can then be redirected to file, or piped to other\ncommand line programs like ``tstoolbox``.\n\nRequirements\n------------\n\n* pandas - on Windows this is part of the Python(x,y), Enthought, or\n  Anaconda distributions\n\n* mando - command line parser\n\n* tstoolbox - utilities to process time-series\n\nInstallation\n------------\nShould be as easy as running ``pip install hspfbintoolbox`` or ``easy_install\nhspfbintoolbox`` at any command line.  Not sure on Windows whether this will\nbring in pandas but as mentioned above, if you start with Python(x,y) then\nyou won't have a problem.\n\nUsage - Command Line\n--------------------\nJust run 'hspfbintoolbox' to get a list of subcommands:\n\n catalog\n          Prints out a catalog of data sets in the binary file.\n\n dump     \n          Prints out ALL data from a HSPF binary output file.\n\n extract\n          Prints out data to the screen from a HSPF binary output file.\n\n time_series  \n          DEPRECATED: Use 'extract' instead.\n\nThe default for all of the subcommands is to accept data from stdin\n(typically a pipe).  If a subcommand accepts an input file for an argument,\nyou can use \"--infile=filename\", or to explicitly specify from stdin use\n\"--infile='-'\" .  \n\nFor the subcommands that output data it is printed to the screen and you can\nthen redirect to a file.\n\nUsage - API\n-----------\nYou can use all of the command line subcommands as functions.  The function\nsignature is identical to the command line subcommands.  The return is always\na PANDAS DataFrame.  Input can be a CSV or TAB separated file, or a PANDAS\nDataFrame and is supplied to the function via the 'input_ts' keyword.\n\nSimply import hspfbintoolbox::\n\n    import hspfbintoolbox\n\n    # Then you could call the functions\n    ntsd = hspfbintoolbox.dump('tests/test.hbn')\n\n    # Once you have a PANDAS DataFrame you can use that as input.\n    ntsd = tstoolbox.aggregate(statistic='mean', agg_interval='daily', input_ts=ntsd)",
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