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        "author": "Laszlo Velinszky",
        "author_email": "laszlo.velinszky@meltwater.com",
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            "License :: OSI Approved :: Apache Software License",
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            "Programming Language :: Python :: 3"
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        "description": "# JUGRI\n\n![PyPI - Downloads](https://img.shields.io/pypi/dm/jugri.svg)\n![Travis (.org)](https://img.shields.io/travis/meltwater/jugri.svg)\n\n\nThe JUpyter-GRemlin Interface. \nThe Gremlinpython package is easy to use to \ncreate queries against any property graph \nthat supports the Tinkerpop interface.\nHowever, parsing the gremlin results is more complex \nas the returned list can contain many objects.\nThe JUGRI package will help the developer by providing \nan easy to use interface to convert these results into \nthe widely used Pandas DataFrame. \n\nMore features are on their way...\n\n[![JUGRI Logo](https://underthehood.meltwater.com/images/own/2018-12-14-jugri-the-jupyter-gremlin-interface/jupyter-gremlin-logo.png)](https://www.travis-ci.org/meltwater/jugri)\n\n## Requirements\n\nTested on Python 3.7\n- `gremlinpython`\n- `pandas`\n\n## Install/update\n\n### Install from PyPI (the usual way)\n\n```\npip install --user --upgrade jugri\n```\n\n### Install from source\n\n```\npip install --user --upgrade -e git+git@github.com:meltwater/jugri.git#egg=jugri\n```\n\nor (using https)\n\n```\npip install --user --upgrade -e git+https://github.com/meltwater/jugri.git#egg=jugri\n```\n\n## Usage\n\nConvert Gremlin query results to a Pandas DataFrame:\n\n```python\nimport jugri\nfrom gremlin_python.structure.graph import Graph\n\ngraph = Graph()\ng = graph.traversal()\n\ndf = jugri.to_df(g.V().valueMap(True).limit(10))\n\n# df is a Pandas DataFrame with the results of the query.\n```\n\nYou can find a [Jupyter notebook example](https://github.com/meltwater/jugri/blob/master/example/Pandification.ipynb)\nin the [`example`](example) folder.\n\n## Uninstall\n\n```\npip uninstall jugri\n```\n\n\n",
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