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    "info": {
        "author": "Yuri D'Elia",
        "author_email": "wavexx@thregr.org",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 5 - Production/Stable",
            "Environment :: MacOS X",
            "Environment :: Win32 (MS Windows)",
            "Environment :: X11 Applications :: Qt",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Topic :: Office/Business :: Financial :: Spreadsheet",
            "Topic :: Scientific/Engineering :: Visualization",
            "Topic :: Software Development :: User Interfaces",
            "Topic :: Software Development :: Widget Sets",
            "Topic :: Utilities"
        ],
        "description": "gtabview: a simple graphical tabular data viewer\n================================================\n\nGraphical counterpart to `tabview <https://github.com/firecat53/tabview/>`_, a\nsimple tabular data viewer that can be used both stand-alone and as a Python\nmodule for various files and Python/Pandas/NumPy data structures.\n\n\nStand-alone usage\n-----------------\n\n`gtabview` reads most text tabular data formats automatically::\n\n  gtabview data.csv\n  gtabview data.txt\n\nIf xlrd_ is installed, Excel files can be read directly::\n\n  gtabview file.xls[x]\n\nWhen Blaze_ is also installed, any Blaze source can be used by specifying a\n`supported URI`_ on the command line::\n\n  gtabview file://dataset.hdf5\n  gtabview file://dataset.json\n  gtabview sqlite://file.db::table\n  gtabview postgresql://host.domain/db_name::table\n\nThe database URL syntax is inherited from SQLAlchemy, so refer to SQLAlchemy's\n`database URLs`_ for a detailed reference.\n\n.. _xlrd: https://pypi.python.org/pypi/xlrd\n.. _Blaze: http://blaze.pydata.org/\n.. _supported URI: http://blaze.pydata.org/en/latest/uri.html\n.. _database URLs: http://docs.sqlalchemy.org/en/latest/core/engines.html#database-urls\n\n\nUsage as a module\n-----------------\n\n``gtabview.view()`` can be used to display simple Python types directly in\ntabulated form:\n\n.. code:: python\n\n    from gtabview import view\n\n    # view a file\n    view(\"/path/to/file\")\n\n    # view a list\n    view([1, 2, 3])\n\n    # view a dict (by columns)\n    view({'a': [1, 2, 3], 'b': [4, 5, 6], 'c': [7, 8, 9]})\n\n    # view a dict (by rows)\n    view({'a': [1, 2, 3], 'b': [4, 5, 6], 'c': [7, 8, 9]}, transpose=True)\n\n    # view a simple list of lists\n    view([[1, 2, 3], [4, 5, 6], [7, 8, 9]])\n\n    # view a simple list of lists (with headers)\n    view([['a', 'b', 'c'], [1, 2, 3], [4, 5, 6], [7, 8, 9]], hdr_rows=1)\n\n`gtabview` includes native support for NumPy and all features of Pandas'\nDataFrames, such as MultiIndexes and level names:\n\n.. code:: python\n\n    from gtabview import view\n\n    # numpy arrays up to two dimensions are supported\n    import numpy as np\n    view(np.array([[1, 2, 3], [4, 5, 6]]))\n\n    # view a DataFrame/Series/Panel\n    import pandas as pd\n    df = pd.DataFrame([[1, 2, 3], [4, 5, 6]],\n\t\t      columns=['a', 'b', 'c'], index=['x', 'y'])\n    view(df)\n\nBlaze can also be used directly as a data source, either explicitly or\nimplicitly through an URI:\n\n.. code:: python\n\n    from gtabview import view\n    import blaze as bz\n\n    iris = bz.Data('sqlite:///blaze/examples/data/iris.db::iris')\n    view(iris)\n\n    view('postgresql://user:pass@host.domain:port/db_name::table')\n\n`gtabview` is designed to integrate correctly with matplotlib. If you're using\n`gtabview` with matplotlib either directly or indirectly (for example, using\nthe Pandas visualization API or Seaborn), be sure to include matplotlib *first*\nto correctly initialize `gtabview`.\n\n`gtabview` will also use matplotlib's ``interactive`` setting to determine the\ndefault behavior of the data window: when interactive, calls to ``view()`` will\nnot block, and will keep recycling the same window.\n\nTo use `gtabview` in a Python Notebook with inline graphics, you'll probably\nwant to force the detached behavior. In the first cell of your notebook,\ninitialize both `gtabview` and `matplotlib` as follows:\n\n.. code:: python\n\n  import gtabview\n  gtabview.DETACH = True\n  from gtabview import view\n  %matplotlib inline\n\nWhen using ``view``, a *separate* data window will show. The window can be kept\naround or closed, but will only be refreshed when evaluating the cell again.\n\n\nRequirements and installation\n-----------------------------\n\n`gtabview` is available directly on the `Python Package Index\n<https://pypi.python.org/pypi/gtabview>`_.\n\n`gtabview` requires:\n\n- Python 3 or Python 2\n- PyQt5, PyQt4 or PySide\n- setuptools and setuptools-git (install-only).\n\nUnder Debian/Ubuntu, install the required dependencies with::\n\n  sudo apt-get install python3 python3-pyqt5\n  sudo apt-get install python3-setuptools python3-setuptools-git\n\nThen download and install simply via pip::\n\n  pip install gtabview\n\nInstall ``xlrd`` if reading Excel files directly is desired, and optionally\nBlaze for interacting with other/scientific data formats::\n\n  pip install xlrd\n  pip install blaze\n\n\nLicense\n-------\n\n| gtabview is distributed under the MIT license (see ``LICENSE.txt``)\n| Copyright(c) 2014-2016: wave++ \"Yuri D'Elia\" <wavexx@thregr.org>\n| Copyright(c) 2014-2015: Scott Hansen <firecat4153@gmail.com>\n\n\nLatest release notes\n====================\n\n* Added support for PyQt5",
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