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        "author": "Boris Lau",
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        "description": "# Graphitty\n\n[![Circle CI](https://circleci.com/gh/sketchytechky/graphitty.svg?style=svg&circle-token=<cirlce-ci-token>)](https://circleci.com/gh/sketchytechky/graphitty)\n\n[![Coverage Status](https://coveralls.io/repos/github/sketchytechky/graphitty/badge.svg?branch=master)](https://coveralls.io/github/sketchytechky/graphitty?branch=master)\n\nA Python library that convert time series to direction Graph to discover the story within data.\n\n\n![Example graph](apollo.png)\n\n\n# Installing\n\nTo install this package, runs:\n\n    pip install git+https://github.com/sketchytechky/graphitty.git\n\nRemember to add the following line to `requirements.txt`\n\n    git+https://github.com/sketchytechky/graphitty.git\n\n\n-----------\n\n\n# How to use\n\n```\nfrom graphitty.graphitty import Graphitty\nimport pandas as pd\n\n# Example input data - see test_simple.py for example\ndf = pd.DataFrame(\n        [...],\n        columns=['timestamp','action', 'user_id'])\n\n# Parsing and outputting graph\ng = Graphitty(\n    df,\n    id_col='user_id',\n    beahivour_col='action',\n    ts_col='timestamp')\nnx_graph = g.render()\n\n# create the beautiful directional graph\n# see https://github.com/chebee7i/nxpd for usage\nimport nxpd\nnxpd.draw(nx_graph, show='ipynb')\n```\n\n# Running Tests\n\nRun test with\n\n    py.test --pep8\n\nTo run test in watch mode\n\n    py.test.watch -- --pep8\n    # same with: ptw -- --pep8\n\n\n-----------\n\n\n# Related research\n\n\n* Information Foraging Theory:Adaptive Interaction with Information - http://www.peterpirolli.com/Professional/About_Me_files/IFT%20Ch%201.pdf\n\n\n* Jakob Nielson example on how to apply information foraging theory to understand visitor's behaviour\n  - http://www.useit.com/alertbox/scrolling-attention.html\n  - https://www.nngroup.com/articles/information-scent/",
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