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        "author": "Gaetan de Menten, Geert Bryon, Johan Duyck, Alix Damman",
        "author_email": "gdementen@gmail.com",
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        "classifiers": [
            "Development Status :: 4 - Beta",
            "Intended Audience :: Developers",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: GNU General Public License v3 (GPLv3)",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Topic :: Scientific/Engineering",
            "Topic :: Software Development :: Libraries"
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        "description": "LArray: N-dimensional labelled arrays\n=====================================\n\n|build-status| |docs|\n\n.. _start-intro:\n\nLArray is open source Python library that aims to provide tools for easy exploration and manipulation of\nN-dimensional labelled data structures.\n\nLibrary Highlights\n------------------\n\n* N-dimensional labelled array objects to store and manipulate multi-dimensional data\n\n* I/O functions for reading and writing arrays in different formats:\n  CSV, Microsoft Excel, HDF5, pickle\n\n* Arrays can be grouped into Session objects and loaded/dumped at once\n\n* User interface with an IPython console for rapid exploration of data\n\n* Compatible with the pandas library: LArray objects can be converted into pandas DataFrame and vice versa.\n\n.. _start-install:\n\nInstallation\n============\n\nPre-built binaries\n------------------\n\nThe easiest route to installing larray is through\n`Conda <http://conda.pydata.org/miniconda.html>`_.\nFor all platforms installing larray can be done with::\n\n    conda install -c gdementen larray\n\nThis will install a lightweight version of larray\ndepending only on Numpy and Pandas libraries only.\nAdditional libraries are required to use the included\ngraphical user interface, make plots or use special\nI/O functions for easy dump/load from Excel or\nHDF files. Optional dependencies are described\nbelow.\n\nInstalling larray with all optional dependencies\ncan be done with ::\n\n    conda install -c gdementen larrayenv\n\nYou can also first add the channel `gdementen` to\nyour channel list ::\n\n    conda config --add channels gdementen\n\nand then install larray (or larrayenv) as ::\n\n    conda install larray\n\n\nBuilding from source\n--------------------\n\nThe latest release of LArray is available from\nhttps://github.com/larray-project/larray.git\n\nOnce you have satisfied the requirements detailed below, simply run::\n\n    python setup.py install\n\n\nRequired Dependencies\n---------------------\n\n- Python 2.7, 3.5, or 3.6\n- `numpy <http://www.numpy.org/>`__ (1.10.0 or later)\n- `pandas <http://pandas.pydata.org/>`__ (0.13.1 or later)\n\n\nOptional Dependencies\n---------------------\n\nFor IO (HDF, Excel)\n~~~~~~~~~~~~~~~~~~~\n\n- `pytables <http://www.pytables.org/>`__:\n  for working with files in HDF5 format.\n- `xlwings <https://www.xlwings.org/>`__:\n  recommended package to get benefit of all Excel features of LArray.\n  Only available on Windows and Mac platforms.\n- `xlrd <http://www.python-excel.org/>`__:\n  for reading data and formatting information from older Excel files (ie: .xls)\n- `openpyxl <http://www.python-excel.org/>`__:\n  recommended package for reading and writing\n  Excel 2010 files (ie: .xlsx)\n- `xlsxwriter <http://www.python-excel.org/>`__:\n  alternative package for writing data, formatting\n  information and, in particular, charts in the\n  Excel 2010 format (ie: .xlsx)\n- `larray_eurostat <https://github.com/larray-project/larray_eurostat>`__:\n  provides functions to easily download EUROSTAT files as larray objects.\n  Currently limited to TSV files.\n\n.. _start-dependencies-gui:\n\nFor Graphical User Interface\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\nLArray includes a graphical user interface to view, edit and compare arrays.\n\n- `pyqt <https://riverbankcomputing.com/software/pyqt/intro>`__ (4 or 5):\n  required by `larray-editor` (see below).\n- `pyside <https://wiki.qt.io/PySide>`__:\n  alternative to PyQt.\n- `qtpy <https://github.com/spyder-ide/qtpy>`__:\n  required by `larray-editor`.\n  Provides support for PyQt5, PyQt4 and PySide using the PyQt5 layout.\n- `larray-editor <https://github.com/larray-project/larray-editor>`__:\n  required to use the graphical user interface associated with larray.\n  It assumes that `qtpy` and `pyqt` or `pyside` are installed.\n  On windows, creates also a menu ``LArray`` in the Windows Start Menu.\n\nFor plotting\n~~~~~~~~~~~~\n\n- `matplotlib <http://matplotlib.org/>`__:\n  required for plotting.\n\n.. _start-documentation:\n\nDocumentation\n=============\n\nThe official documentation is hosted on ReadTheDocs at http://larray.readthedocs.io/en/stable/\n\n.. _start-get-in-touch:\n\nGet in touch\n============\n\n- To be informed of each new release, please subscribe to the announce `mailing list`_.\n- For questions, ideas or general discussion, please use the `Google Users Group`_.\n- To report bugs, suggest features or view the source code, please go to our `GitHub website`_.\n\n.. _mailing list: https://groups.google.com/d/forum/larray-announce\n.. _Google Users Group: https://groups.google.com/d/forum/larray-users\n.. _GitHub website: http://github.com/larray-project/larray\n\n.. end-readme-file\n\n.. |build-status| image:: https://travis-ci.org/larray-project/larray.svg?branch=master\n    :alt: build status\n    :scale: 100%\n    :target: https://travis-ci.org/larray-project/larray\n\n.. |docs| image:: https://readthedocs.org/projects/larray/badge/?version=stable\n    :alt: Documentation Status\n    :scale: 100%\n    :target: https://larray.readthedocs.io/en/latest/?badge=stable\n",
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