Installing

Before installing NetworkX, you need to have setuptools installed.

Get NetworkX from the Python Package Index at http://pypi.python.org/pypi/networkx

or install it with

and an attempt will be made to find and install an appropriate version that matches your operating system and Python version.

You can install the development version (at github.com) with

More download file options are at https://networkx.org/download.html.

You can install from source by downloading a source archive file (tar.gz or zip) or by checking out the source files from the Mercurial source code repository.

NetworkX is a pure Python package; you don’t need a compiler to build or install it.

Clone the networkx repostitory (see https://github.com/networkx/networkx/ for options)

Change directory to networkx

Run python setup.py install to build and install

(Optional) Run nosetests to execute the tests if you have nose installed.

If you don’t have permission to install software on your system, you can install into another directory using the --user, --prefix, or --home flags to setup.py.

For example

or

or

If you didn’t install in the standard Python site-packages directory you will need to set your PYTHONPATH variable to the alternate location. See http://docs.python.org/2/install/index.html#search-path for further details.

To use NetworkX you need Python 2.7, 3.2 or later.

The easiest way to get Python and most optional packages is to install the Enthought Python distribution “Canopy”.

There are several other distributions that contain the key packages you need for scientific computing. See http://scipy.org/install.html for a list.

The following are optional packages that NetworkX can use to provide additional functions.

Provides matrix representation of graphs and is used in some graph algorithms for high-performance matrix computations.

Provides sparse matrix representation of graphs and many numerical scientific tools.

Provides flexible drawing of graphs.

In conjunction with either

or

provides graph drawing and graph layout algorithms.

http://pyyaml.org/

Required for YAML format reading and writing.

These are extra packages you may consider using with NetworkX