DeepGraph is a scalable, general-purpose data analysis package. It implements a network representation based on pandas DataFrames and provides methods to construct, partition and plot graphs, to interface with popular network packages and more.
Project description
DeepGraph
DeepGraph is a scalable, general-purpose data analysis package. It implements a network representation based on pandas DataFrames and provides methods to construct, partition and plot graphs, to interface with popular network packages and more.
It is based on a new network representation introduced in (coming soon..).
Quick Start
DeepGraph can be installed via pip from PyPI
$ pip install deepgraph
or if you’re using Conda, install with
$ conda install -c https://conda.anaconda.org/deepgraph deepgraph
Then, import and get started with:
>>> import deepgraph as dg >>> help(dg)
Documentation
The official documentation is hosted on readthedocs.org: http://deepgraph.readthedocs.org
The documentation provides a good starting point for learning how to use the library. Expect the docs to continue to expand as time goes on.
Citing DeepGraph
Please acknowledge and cite the use of this software and its authors when results are used in publications or published elsewhere. You can use the following BibTex entry (coming soon..):
Licence
Distributed with a BSD license:
Copyright (C) 2016 DeepGraph Developers Dominik Traxl <dominik.traxl@posteo.org>
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