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        "bugtrack_url": null,
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            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python",
            "Topic :: Internet :: WWW/HTTP"
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        "description": "Histogramy\n=============================================================================\n\nHistogramy is a CUI program to analyze 1-dimensional data.\n\nIt draw a histogram with specified data and it also can draw the fitting curve\nestimated by a Gaussian Mixture Model probability distribution.\n\n![Screenshot](https://raw.github.com/lambdalisue/Histogramy/master/static/screenshot.png)\n\nRequirements\n-----------------------------------------------------------------------------\n\n-   [Python][]\n-   [numpy][]\n-   [matplotlib][]\n-   [scikit-learn][]\n\n[Python]: http://www.python.org/\n[numpy]: http://www.numpy.org/\n[matplotlib]: http://matplotlib.org/\n[scikit-learn]: http://scikit-learn.org/dev/index.html\n\n\nInstall\n-----------------------------------------------------------------------------\n\n1.  You have to install [Python][]. Follow the instruction at\n    http://www.python.org/getit/\n\n2.  You also have to instal [numpy][], and [matplotlib][].\n    Follow the instructions below\n\n    1.  numpy: http://docs.scipy.org/doc/numpy/user/install.html\n    2.  matplotlib: http://matplotlib.org/users/installing.html\n\n3.  Now, you can install Histogramy with [pip][] or [easy_install][].\n    [scikit-learn][] will be installed automatically when you install\n    Histogramy\n\n    1.  Install [pip][] or [easy_install][], follow the instrcutions below\n\n        -   pip: http://www.pip-installer.org/en/latest/installing.html\n        -   easy_install: http://pypi.python.org/pypi/setuptools\n\n    2.  Install Histogramy with the following command in Terminal (Command\n        Prompt)\n\n        ~~~\n        pip install histogramy\n        ~~~\n\n        or\n\n        ~~~\n        easy_install histogramy\n        ~~~\n\n[pip]: http://www.pip-installer.org/\n[easy_install]: http://pypi.python.org/pypi/setuptools\n\n\nUsage\n-----------------------------------------------------------------------------\n\n    usage: histogramy [-h] [-b BINS] [-c N] [-C N] [--base BASE] [--auto-base]\n                    [--min-threshold MIN] [--max-threshold MAX]\n                    [--covariance-type TYPE] [--min-covar MIN_COVAR]\n                    [--delimiter DELIMITER] [--encoding ENCODING] [--demo]\n                    [filenames [filenames ...]] {histogram,fit,plot} ...\n\n    positional arguments:\n    filenames\n    {histogram,fit,plot}\n        histogram           Show histogram data\n        fit                 Show fitting data\n        plot                Create graph by matplotlib\n\n    optional arguments:\n    -h, --help            show this help message and exit\n    -b BINS, --bins BINS  It defines the number of equal-width bins.\n    -c N, --column N      A number of column in data file used for analysis\n    -C N, --classifiers N\n                            The maximum number classifiers to simulate the fitting\n    --base BASE           Base value to modulate the data\n    --auto-base           Automatically find the base value to modulate the data\n    --min-threshold MIN   Minimum threshold. Value smaller than this will be\n                            ignored\n    --max-threshold MAX   Maximum threshold. Value grater than this will be\n                            ignored\n    --covariance-type TYPE\n                            Type of covariance. Default is \"diag\"\n    --min-covar MIN_COVAR\n                            Minimum value of covariance\n    --delimiter DELIMITER\n                            Delimiter used to parse the data file\n    --encoding ENCODING   Encoding used to open the data file\n    --demo                Use demo data to analysis",
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