graph-tool

The python tools can be used to generate graph

PyDotPlus

PyDotPlus is an improved version of the old pydot project that provides a Python Interface to Graphviz’s Dot language.

Installation

For the latest stable version:

pip install pydotplus

For the development version:

pip install https://github.com/carlos-jenkins/pydotplus/archive/master.zip

• The file is assumed to be in DOT format. It will be loaded, parsed and a Dot class will be returned, representing the graph. For example,a simple demo.dot:

digraph demo1{ a -> b -> c; c ->a; }

import pydotplus
graph_a = pydotplus.graph_from_dot_file('demo.dot')
graph_a.write_svg('test.svg') # generate graph in svg.

You will get a svg(Scalable Vector Graphics) like this:

(opens new window)

PyGraphviz

Get PyGraphviz from the Python Package Index at http://pypi.python.org/pypi/pygraphviz (opens new window)

or install it with:

pip install pygraphviz

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:

pip install git://github.com/pygraphviz/pygraphviz.git#egg=pygraphviz

Get PyGraphviz from the Python Package Index at http://pypi.python.org/pypi/pygraphviz (opens new window)

or install it with:

easy_install pygraphviz

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

• The file is assumed to be in DOT format. It will be loaded, parsed and a Dot class will be returned, representing the graph. For example,a simple demo.dot:

digraph demo1{ a -> b -> c; c ->a; }

• Load it and draw it.

import pygraphviz as pgv
G = pgv.AGraph("demo.dot")
G.draw('test', format='svg', prog='dot')

You will get a svg(Scalable Vector Graphics) like this:

(opens new window)